SIMLHS.com - Flyers 

Flyers
GP: 82 | W: 43 | L: 28 | OTL: 11 | P: 97
GF: 265 | GA: 236 | PP%: 17.99% | PK%: 79.84%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 70
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Centre de jeu
Flyers
43-28-11, 97pts
1
FINAL
3 Jets
47-28-7, 101pts
Team Stats
SOL1StreakL1
19-15-7Home Record27-11-3
24-13-4Away Record20-17-4
6-3-1Last 10 Games5-4-1
3.23Goals Per Game3.07
2.88Goals Against Per Game2.87
17.99%Power Play Percentage19.76%
79.84%Penalty Kill Percentage83.06%
Senators
56-23-3, 115pts
4
FINAL
3 Flyers
43-28-11, 97pts
Team Stats
W1StreakSOL1
28-11-2Home Record19-15-7
28-12-1Away Record24-13-4
8-2-0Last 10 Games6-3-1
3.83Goals Per Game3.23
2.84Goals Against Per Game2.88
20.07%Power Play Percentage17.99%
83.02%Penalty Kill Percentage79.84%
Meneurs d'équipe
Mitchell MarnerButs
Mitchell Marner
38
Cale MakarPasses
Cale Makar
60
Mitchell MarnerPoints
Mitchell Marner
83
Adam PelechPlus/Moins
Adam Pelech
24
Philipp GrubauerVictoires
Philipp Grubauer
37
Philipp GrubauerPourcentage d’arrêts
Philipp Grubauer
0.909

Statistiques d’équipe
Buts pour
265
3.23 GFG
Tirs pour
2498
30.46 Avg
Pourcentage en avantage numérique
18.0%
52 GF
Début de zone offensive
41.1%
Buts contre
236
2.88 GAA
Tirs contre
2407
29.35 Avg
Pourcentage en désavantage numérique
79.8%
50 GA
Début de la zone défensive
40.7%
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurPeter Laviolette
DivisionDivision Métropolitaine
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance16,837
Billets de saison3,600


Information formation

Équipe Pro23
Équipe Mineure34
Limite contact 57 / 80
Espoirs58


Plafond salarial

Cap Salarial de la Saison estimé70,682,046$
Plafond salarial disponible10,817,954$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24


Finance

Revenu annuel à ce jour104,376,692$
Dépenses annuelles à ce jour72,574,719$
Revenus de la saison estimés0$
Dépenses de la saison estimées408,365$
Compte bancaire actuel69,057,847$
Compte bancaire projeté68,628,054$


Historique d'équipe

Saison actuelle43-28-11 (97PTS)
Historique767-625-153 (0.496%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)12-28
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mitchell Marner0XXX97.005638878369928986639277848167730757502436,300,000$
2John Tavares0X97.006238897581888683938279678279890757403127,225,000$
3Andrei Svechnikov0XX97.00845174837986928458827663826468075730211850,000$
4Timo Meier0XX96.008446817677859175627774657869740757102525,000,000$
5Scott Laughton0XX96.008946797175838670827271806973750757102712,000,000$
6Frank Vatrano0XXX100.00803986727481857365697472767368075700271915,000$
7Nick Schmaltz0XX98.005335917872859176827969677671680757002536,425,000$
8Nick Bonino0X100.005337897076858970877271906982760757003335,500,000$
9Andrew Cogliano0XX100.008039867465779066646763736684740756803412,500,000$
10Kirby Dach0XX99.00573689748684787580736769766268075680202925,000$
11Ondrej Kase0XX100.005335937274857775587264656871660756702623,000,000$
12Cale Makar0X97.00673492857092808030918377646768075750232925,000$
13Jacob Trouba0X99.009062737285918768307664855373770757102713,574,000$
14Brenden Dillon0X100.009175636590889167307458825179720756903112,392,000$
15Sami Vatanen0X100.006942847367888374307565775378710756903033,842,000$
16Alexander Romanov (R)0X100.00893690727687857130686173556266075680213925,000$
17Adam Pelech0X99.008139876685898462307261885273670756802712,320,000$
18Andy Greene0X100.005935946370888962307058895189790756703925,000,000$
Rayé
1Michael Raffl0XX100.008042856474778663696864726382760756703313,000,000$
2Adam Gaudette0X100.00574284677185936778716763706966075660251897,000$
3Riley Stillman0X100.00854383657784816730655873506563075650231845,000$
Équipe Mineure
1Cody Glass0X100.00563594728579827180686663736467075670222925,000$
2Wade Allison (R)0X100.00803691688179776758666965646765075670243925,000$
3Nicolas Aube-Kubel0X100.00884476697087836657686459676966075660251700,000$
4Michael Rasmussen0XXX100.00836279649883716675686266646365075660221850,000$
5Gerald Mayhew0XX100.00683594666273746668646665667772075650293925,000$
6Jack Studnicka0X100.00583587667286856573666268656362075640222925,000$
7Nathan Walker0X100.00793985646783716559616658647367075640271750,000$
8Kevin Roy0X100.00553986636485906368656157627568075630281950,000$
9Axel Jonsson-Fjallby0X100.00593590626883886055586359646663075620232925,000$
10Jack Quinn (R)0X100.00623582667281766358645956656159075620203925,000$
11Kristian Reichel0X100.00593986616873785956586057596566075610233925,000$
12Alex Biega0X100.008739867072827863306658675382730756603311,775,000$
13Bowen Byram (R)0X100.00805668757786827230685566536267075660203925,000$
14Matt Benning0X100.00786285667885906430675673487367075660272950,000$
15Travis Dermott0X100.00753383727583876530686266526966075660251834,100$
16Jake Bischoff0X100.00725471657584786230605762507370075630271800,000$
17Max Gildon (R)0X100.00733872608278835930675361476362075620223925,000$
18Samuel Bolduc (R)0X100.00826986578970755830605962496163075620213925,000$
19Drew Shore (R)0X100.00614384588273775770595862597865075610303925,000$
20Ivan Chekhovich0XX100.00503595636780746456625960646362075610222925,000$
21William Lockwood (R)0X100.00814371576776715855596061586563075610233925,000$
22Rourke Chartier (R)0X100.00613593577074795863565459556965075600253925,000$
23Cameron Hillis (R)0X100.00623593576874695862555652576163075590213925,000$
24Ryan Bourque0X100.00573689566685905455525653577870075590303925,000$
25Jamieson Rees (R)0X100.00586160586775805870566155586062075590203925,000$
26Matthew Struthers (R)0X100.00703682547965705356525557546362075580223925,000$
27Kyle Burroughs0X100.00725471597372735830615662487166075610262800,000$
28Kaedan Korczak (R)0X100.00735175598260655830565157456060075590203925,000$
29Wyatte Wylie (R)0X100.00634284577267725830595355466362075590223925,000$
30Dawson Barteaux (R)0X100.00653593567471765430525355476163075580213925,000$
31Brayden Pachal0X100.007056695473768152305653605163620755802221,000,000$
MOYENNE D’ÉQUIPE98.8172428572768686725675687566737207570
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Philipp Grubauer100.00979188759695979695979678840757703022,600,000$
2Antti Raanta98.00878179738685878685878680860757203213,179,000$
Rayé
Équipe Mineure
1Pheonix Copley100.0074878586737274737274737783075660293950,000$
2Matt Villalta (R)100.0069737176686769686769686165075610222850,000$
3Dylan Garand (R)100.0062757970616062616062616264075570193925,000$
MOYENNE D’ÉQUIPE99.009286847491909291909291798507575
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette80838680847863USA5612,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mitchell MarnerFlyersC/LW/RW823845832100271903479524710.95%20166420.295712421750110276336.08%47400001.0025000954
2Cale MakarFlyersD8296069-128010213013152836.87%81191123.313161972234000193210.00%000000.7200000044
3Timo MeierFlyersLW/RW82253358238115248852145816211.68%3149918.296111746227000013133.93%11200000.7725210443
4Nick SchmaltzFlyersC/RW822037571720141051876514110.70%8149818.28591436214000183153.78%11900000.7615000233
5Andrei SvechnikovFlyersLW/RW8227265314855300922246316012.05%4174621.29437422630000234336.73%14700000.6114010556
6Nick BoninoFlyersC82242852216082482105914711.43%30153718.75235167200042173054.25%203700000.6800000244
7John TavaresFlyersC782129501500411632074716810.14%6162620.85325291751011575054.91%185400000.6124000411
8Frank VatranoFlyersC/LW/RW82212748-118070741894411811.11%13140017.0838113516500001933032.56%17200000.6911000212
9Scott LaughtonFlyersC/LW82192948-9560214182198621579.60%11152718.6385133715110131432051.80%150400110.6302000553
10Kirby DachFlyersC/RW82133043-1001677171491087.60%10118414.453141738214000001052.27%41900000.7311000031
11Sami VatanenFlyersD821231435180468878315615.38%73146317.84781539167000255100.00%000000.5900000201
12Jacob TroubaFlyersD74334371795212917931663.80%105157621.30178411900000148300.00%000000.4700100214
13Andy GreeneFlyersD829172613160477268223613.24%92155018.911128610222196010.00%000000.3400000120
14Adam PelechFlyersD805212624540131906312437.94%115155119.390117331011155100.00%000100.3400000002
15Brenden DillonFlyersD825202517895237756120428.20%79153918.78033131020001168000.00%000000.3200010012
16Alexander RomanovFlyersD8251419920058364282211.90%5083810.221011561011196210.00%000000.4500000112
17Michael RafflFlyersLW/RW51336-7201816192915.79%13406.68000000001500048.78%4100000.3500000000
18Andrew CoglianoFlyersC/LW80235-1320032233214146.25%13824.78000000002460033.68%9500000.2600000000
19Ondrej KaseFlyersLW/RW82224420091671712.50%12222.710000100000380054.17%2400000.3600000000
20Travis DermottPhantoms (PHI)D2000-100520010.00%03015.360000000000000.00%000000.0000000000
21Adam GaudetteFlyersC8000000011000.00%0253.2400000000000047.37%1900000.0000000000
Statistiques d’équipe totales ou en moyenne152126348975215157630182618492537741179710.37%7032511716.5152981505162522347201724391150.99%701700210.601027330394042
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Philipp GrubauerFlyers63371870.9092.6537358316518100320.739236121641
2Antti RaantaFlyers2261040.8893.23122841665950000.50042161111
Statistiques d’équipe totales ou en moyenne854328110.9042.79496412423124050320.704278282752


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam GaudetteFlyersC2510/3/1996No170 Lbs6 ft1NoNoNo1Pro & Farm897,000$4,956$897,000$4,956$897,000$4,956$NoLien / Lien NHL
Adam PelechFlyersD278/16/1994No205 Lbs6 ft3NoNoYes1Pro & Farm2,320,000$12,818$2,320,000$12,818$2,320,000$12,818$NoLien / Lien NHL
Alexander RomanovFlyersD211/6/2000Yes208 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$925,000$5,110$No925,000$925,000$
Andrei SvechnikovFlyersLW/RW213/26/2000No195 Lbs6 ft2NoNoNo1Pro & Farm850,000$4,696$700,000$3,867$850,000$4,696$NoLien / Lien NHL
Andrew Cogliano (contrat à 1 volet)FlyersC/LW346/14/1987No175 Lbs5 ft10NoNoYes1Pro & Farm2,500,000$13,812$2,500,000$13,812$2,500,000$13,812$NoLien / Lien NHL
Andy Greene (contrat à 1 volet)FlyersD3910/30/1982No190 Lbs5 ft11NoNoYes2Pro & Farm5,000,000$27,624$5,000,000$27,624$5,000,000$27,624$No5,000,000$Lien / Lien NHL
Antti Raanta (contrat à 1 volet)FlyersG325/12/1989No195 Lbs6 ft0NoNoYes1Pro & Farm3,179,000$17,564$3,179,000$17,564$3,179,000$17,564$NoLien / Lien NHL
Brenden Dillon (contrat à 1 volet)FlyersD3111/13/1990No220 Lbs6 ft4NoNoYes1Pro & Farm2,392,000$13,215$2,392,000$13,215$2,392,000$13,215$NoLien / Lien NHL
Cale MakarFlyersD2310/30/1998No187 Lbs5 ft11NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$925,000$5,110$No925,000$Lien / Lien NHL
Frank VatranoFlyersC/LW/RW273/14/1994No197 Lbs5 ft11NoNoNo1Pro & Farm915,000$5,055$790,000$4,365$915,000$5,055$NoLien / Lien NHL
Jacob Trouba (contrat à 1 volet)FlyersD272/26/1994No209 Lbs6 ft3NoNoYes1Pro & Farm3,574,000$19,746$3,574,000$19,746$3,574,000$19,746$NoLien / Lien NHL
John Tavares (contrat à 1 volet)FlyersC319/20/1990No215 Lbs6 ft1NoNoYes2Pro & Farm7,225,000$39,917$7,060,000$39,006$7,225,000$39,917$No7,225,000$Lien / Lien NHL
Kirby DachFlyersC/RW201/21/2001No197 Lbs6 ft4NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$925,000$5,110$No925,000$Lien / Lien NHL
Michael Raffl (contrat à 1 volet)FlyersLW/RW3312/1/1988No200 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$16,575$3,000,000$16,575$3,000,000$16,575$NoLien / Lien NHL
Mitchell Marner (contrat à 1 volet)FlyersC/LW/RW245/5/1997No175 Lbs6 ft0NoNoYes3Pro & Farm6,300,000$34,807$925,000$5,110$6,300,000$34,807$No6,300,000$6,300,000$Lien / Lien NHL
Nick Bonino (contrat à 1 volet)FlyersC334/20/1988No195 Lbs6 ft1NoNoYes3Pro & Farm5,500,000$30,387$5,500,000$30,387$5,500,000$30,387$No5,500,000$5,500,000$Lien / Lien NHL
Nick SchmaltzFlyersC/RW252/23/1996No177 Lbs6 ft0NoNoYes3Pro & Farm6,425,000$35,497$4,965,000$27,431$6,425,000$35,497$No6,425,000$6,425,000$Lien / Lien NHL
Ondrej KaseFlyersLW/RW2611/8/1995No190 Lbs6 ft0NoNoYes2Pro & Farm3,000,000$16,575$2,426,250$13,405$3,000,000$16,575$No3,000,000$Lien / Lien NHL
Philipp Grubauer (contrat à 1 volet)FlyersG3011/25/1991No188 Lbs6 ft1NoNoYes2Pro & Farm2,600,000$14,365$1,527,000$8,436$2,600,000$14,365$No2,600,000$Lien / Lien NHL
Riley StillmanFlyersD233/9/1998No196 Lbs6 ft1NoNoNo1Pro & Farm845,000$4,669$845,000$4,669$845,000$4,669$NoLien / Lien NHL
Sami Vatanen (contrat à 1 volet)FlyersD306/3/1991No185 Lbs5 ft10NoNoYes3Pro & Farm3,842,000$21,227$3,842,000$21,227$3,842,000$21,227$No3,842,000$3,842,000$Lien / Lien NHL
Scott LaughtonFlyersC/LW275/30/1994No190 Lbs6 ft1NoNoYes1Pro & Farm2,000,000$11,050$2,000,000$11,050$2,000,000$11,050$NoLien / Lien NHL
Timo MeierFlyersLW/RW2510/8/1996No210 Lbs6 ft0NoNoYes2Pro & Farm5,000,000$27,624$925,000$5,110$5,000,000$27,624$No5,000,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.57194 Lbs6 ft11.743,049,522$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
70,139,000$47,667,000$22,992,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Tavares
Marner
35122
2
Meier
Bonino
Schmaltz
30122
3
Vatrano
Laughton
Dach
25122
4
Meier
Laughton
Kase
10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Pelech
40032
2
Trouba
Vatanen
26032
3
Greene
Dillon
24122
4
Dillon
Trouba
10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Tavares
Marner
60104
2
Meier
Dach
Schmaltz
40104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Trouba
60122
2
Laughton
Vatanen
40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1
Bonino
Laughton
60140
2
Cogliano
Vatrano
40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Pelech
Greene
60122
2
Dillon
Trouba
40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1
Bonino
60140
Trouba
Pelech
60122
2
Laughton
40140
Dillon
Greene
40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1
Tavares
Marner
60122
2
Dach
Svechnikov
40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Greene
60122
2
Pelech
Trouba
40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marner
Tavares
Svechnikov
Makar
Trouba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Laughton
Bonino
Vatrano
Trouba
Pelech
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Svechnikov
Laughton
Vatrano
Dach
Schmaltz
Vatrano
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Makar
Dillon
Trouba
Trouba
Trouba
Dillon
Tirs de pénalité
Schmaltz
Marner
Tavares
Svechnikov
Meier
Gardien
#1 :
Raanta
#2 :
Grubauer
Lignes d’attaque personnalisées en prolongation
Marner
Tavares
Svechnikov
Laughton
Meier
Dach
Schmaltz
Bonino
Kase
Vatrano
Lignes de défense personnalisées en prolongation
Makar
Trouba
Vatanen
Greene
Dillon


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche2020000047-31010000023-11010000024-200.000461000121058182119050141733600.00%6266.67%11455285051.05%1475282252.27%648126251.35%523743132412
2Blackhawks211000008801010000046-21100000042220.5008132110242064222121070121651300.00%7357.14%01455285051.05%1475282252.27%648126251.35%483446142513
3Blue Jackets330000001147220000007251100000042261.000112132011460822225350661726459444.44%110100.00%11455285051.05%1475282252.27%648126251.35%735070223618
4Blues2110000058-31010000016-51100000042220.5005101500221057211521054141641700.00%8275.00%01455285051.05%1475282252.27%648126251.35%493344132513
5Bruins300011101091200010107521000010034-150.83310172700332510836323512872214581317.69%70100.00%01455285051.05%1475282252.27%648126251.35%836066213820
6Canadiens320001001165110000004222100010074350.83311203100254010534343706323207210220.00%7185.71%01455285051.05%1475282252.27%648126251.35%805863203618
7Canucks21100000770110000005321010000024-220.5007132000214082391429062166426116.67%2150.00%01455285051.05%1475282252.27%648126251.35%503744132412
8Capitals4310000010552110000024-22200000081760.75010182801622012046334101152814791317.69%7185.71%01455285051.05%1475282252.27%648126251.35%1027287275026
9Coyotes2010000116-51000000101-11010000015-410.25012300001052221316453182451500.00%12191.67%01455285051.05%1475282252.27%648126251.35%483551152412
10Devils320000101587110000006242100001096361.00015274200563210018394237317305413215.38%70100.00%01455285051.05%1475282252.27%648126251.35%795869223618
11Ducks2010010068-21000010034-11010000034-110.2506121800051052191812369248508225.00%4175.00%01455285051.05%1475282252.27%648126251.35%483348142813
12Flames2110000045-11010000014-31100000031220.5004610001210622321180471114389222.22%7185.71%01455285051.05%1475282252.27%648126251.35%513743142412
13Golden Knights22000000743110000003211100000042241.0007142100223065231923048112251600.00%10370.00%01455285051.05%1475282252.27%648126251.35%513544142412
14Hurricanes4300100017892200000012572100100053281.000173249007451122333454112933309515533.33%14285.71%11455285051.05%1475282252.27%648126251.35%946495285125
15Islanders412001001315-2211000006602010010079-230.37513233600652012738424611262623859222.22%8187.50%01455285051.05%1475282252.27%648126251.35%976993285126
16Jets2010010036-31000010023-11010000013-210.25035800111053132515060148378112.50%4175.00%01455285051.05%1475282252.27%648126251.35%453149152412
17Kings20100010660100000105411010000012-120.5006915004012622015237631918535240.00%7185.71%01455285051.05%1475282252.27%648126251.35%463251142613
18Kraken2010010046-21010000023-11000010023-110.250461000031048141717050188529222.22%4175.00%01455285051.05%1475282252.27%648126251.35%473247162513
19Lightning311001001011-12010010079-21100000032130.5001017270073008232361409219246515320.00%11372.73%01455285051.05%1475282252.27%648126251.35%745067233920
20Maple Leafs311010001213-12110000079-21000100054140.667122335004611115423731510735267318422.22%12466.67%01455285051.05%1475282252.27%648126251.35%755270203719
21Oilers220000001248110000006241100000062441.000121931004350581920190461912426233.33%6266.67%01455285051.05%1475282252.27%648126251.35%533841132413
22Panthers312000001011-11010000035-22110000076120.3331020300024409632263809217306814428.57%14378.57%01455285051.05%1475282252.27%648126251.35%755166213819
23Penguins40400000817-92020000069-32020000028-600.0008162410332012548334401233622751000.00%11554.55%01455285051.05%1475282252.27%648126251.35%1007089284925
24Predators2010001067-11010000013-21000001054120.50061016003111672820177541220439222.22%10460.00%01455285051.05%1475282252.27%648126251.35%523645142713
25Rangers4300000116882100000154122000000114770.8751629450085309727274151423929871200.00%12283.33%01455285051.05%1475282252.27%648126251.35%8860105315025
26Red Wings3120000078-11010000034-12110000044020.33371118002410742729180831916608225.00%8187.50%01455285051.05%1475282252.27%648126251.35%694770233918
27Sabres31200000111011010000034-12110000086220.333112132005240973332320822218628112.50%90100.00%01455285051.05%1475282252.27%648126251.35%755367203617
28Senators32000001972210000015501100000042250.8339172600432110131323668730157214214.29%5180.00%01455285051.05%1475282252.27%648126251.35%795667223820
29Sharks21100000651110000002021010000045-120.50061117014110592815160722220376116.67%10190.00%01455285051.05%1475282252.27%648126251.35%493447142311
30Stars210001009631000010045-11100000051430.75091726004410521615210832612458225.00%5260.00%01455285051.05%1475282252.27%648126251.35%463247142612
31Wild22000000734110000003121100000042241.0007111800304056191918059118497228.57%30100.00%01455285051.05%1475282252.27%648126251.35%503545142312
Total82362803843265236294116150142312712524120130242013811127970.5912654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
_Since Last GM Reset82362803843265236294116150142312712524120130242013811127970.5912654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
_Vs Conference50241503422170140302511901112837582513602310876522640.6401703124821265594110155149949154433146738333710501813318.23%1432483.22%21455285051.05%1475282252.27%648126251.35%12498791151364630321
_Vs Division2615701111906525138400001443212137301110463313360.6929016625612362923377323223330310774196174520811417.28%701184.29%21455285051.05%1475282252.27%648126251.35%636446610189325165

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8297SOL126547674124982407644566176523
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236283843265236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116151423127125
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120132420138111
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2895217.99%2485079.84%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
8437798495498907013
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
1455285051.05%1475282252.27%648126251.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2044143818925951035525


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
4 - 2021-10-1518Canucks3Flyers5BWSommaire du match
7 - 2021-10-1836Kraken3Flyers2BLSommaire du match
9 - 2021-10-2050Bruins1Flyers2BWXXSommaire du match
12 - 2021-10-2373Panthers5Flyers3BLSommaire du match
16 - 2021-10-27101Flyers6Oilers2AWSommaire du match
17 - 2021-10-28106Flyers2Canucks4ALSommaire du match
19 - 2021-10-30126Flyers3Flames1AWSommaire du match
22 - 2021-11-02137Coyotes1Flyers0BLXXSommaire du match
24 - 2021-11-04153Flyers1Penguins3ALSommaire du match
26 - 2021-11-06169Flyers5Capitals0AWSommaire du match
30 - 2021-11-10192Maple Leafs5Flyers2BLSommaire du match
32 - 2021-11-12208Flyers2Hurricanes1AWSommaire du match
33 - 2021-11-13220Flyers5Stars1AWSommaire du match
36 - 2021-11-16236Flames4Flyers1BLSommaire du match
38 - 2021-11-18252Lightning4Flyers3BLXSommaire du match
40 - 2021-11-20268Bruins4Flyers5BWXSommaire du match
43 - 2021-11-23287Flyers3Lightning2AWSommaire du match
44 - 2021-11-24291Flyers3Panthers4ALSommaire du match
46 - 2021-11-26307Hurricanes1Flyers6BWSommaire du match
48 - 2021-11-28331Flyers4Devils3AWXXSommaire du match
50 - 2021-11-30340Islanders3Flyers5BWSommaire du match
51 - 2021-12-01346Flyers6Rangers1AWSommaire du match
55 - 2021-12-05377Lightning5Flyers4BLSommaire du match
56 - 2021-12-06383Avalanche3Flyers2BLSommaire du match
58 - 2021-12-08398Flyers5Devils3AWSommaire du match
60 - 2021-12-10418Flyers4Golden Knights2AWSommaire du match
61 - 2021-12-11425Flyers1Coyotes5ALSommaire du match
64 - 2021-12-14440Devils2Flyers6BWSommaire du match
66 - 2021-12-16454Flyers2Canadiens3ALXSommaire du match
68 - 2021-12-18474Senators1Flyers2BWSommaire du match
71 - 2021-12-21496Capitals3Flyers0BLSommaire du match
73 - 2021-12-23513Flyers1Penguins5ALSommaire du match
79 - 2021-12-29549Flyers2Kraken3ALXSommaire du match
80 - 2021-12-30558Flyers4Sharks5ALSommaire du match
82 - 2022-01-01573Flyers1Kings2ALSommaire du match
85 - 2022-01-04594Flyers3Ducks4ALSommaire du match
87 - 2022-01-06604Penguins4Flyers3BLSommaire du match
89 - 2022-01-08619Sharks0Flyers2BWSommaire du match
92 - 2022-01-11639Hurricanes4Flyers6BWSommaire du match
94 - 2022-01-13650Flyers3Bruins4ALXSommaire du match
96 - 2022-01-15674Rangers3Flyers2BLXXSommaire du match
98 - 2022-01-17688Flyers5Islanders6ALXSommaire du match
99 - 2022-01-18694Red Wings4Flyers3BLSommaire du match
101 - 2022-01-20706Blue Jackets2Flyers4BWSommaire du match
103 - 2022-01-22721Flyers3Sabres4ALSommaire du match
105 - 2022-01-24739Stars5Flyers4BLXSommaire du match
106 - 2022-01-25748Flyers2Islanders3ALSommaire du match
110 - 2022-01-29773Kings4Flyers5BWXXSommaire du match
113 - 2022-02-01800Jets3Flyers2BLXSommaire du match
115 - 2022-02-03812Flyers3Red Wings2AWSommaire du match
118 - 2022-02-06830Capitals1Flyers2BWSommaire du match
120 - 2022-02-08847Blues6Flyers1BLSommaire du match
121 - 2022-02-09852Oilers2Flyers6BWSommaire du match
123 - 2022-02-11866Wild1Flyers3BWSommaire du match
125 - 2022-02-13881Blackhawks6Flyers4BLSommaire du match
128 - 2022-02-16903Golden Knights2Flyers3BWSommaire du match
130 - 2022-02-18920Flyers4Panthers2AWSommaire du match
132 - 2022-02-20933Flyers3Hurricanes2AWXSommaire du match
133 - 2022-02-21947Canadiens2Flyers4BWSommaire du match
137 - 2022-02-25970Predators3Flyers1BLSommaire du match
138 - 2022-02-26977Flyers4Senators2AWSommaire du match
140 - 2022-02-28994Islanders3Flyers1BLSommaire du match
142 - 2022-03-021008Flyers1Red Wings2ALSommaire du match
144 - 2022-03-041023Flyers4Blues2AWSommaire du match
145 - 2022-03-051031Flyers2Avalanche4ALSommaire du match
147 - 2022-03-071049Flyers5Predators4AWXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091065Flyers4Wild2AWSommaire du match
153 - 2022-03-131095Maple Leafs4Flyers5BWSommaire du match
154 - 2022-03-141105Flyers5Rangers3AWSommaire du match
156 - 2022-03-161117Blue Jackets0Flyers3BWSommaire du match
158 - 2022-03-181130Flyers4Blue Jackets2AWSommaire du match
160 - 2022-03-201149Ducks4Flyers3BLXSommaire du match
163 - 2022-03-231168Flyers3Capitals1AWSommaire du match
164 - 2022-03-241177Rangers1Flyers3BWSommaire du match
167 - 2022-03-271199Flyers5Sabres2AWSommaire du match
168 - 2022-03-281210Sabres4Flyers3BLSommaire du match
170 - 2022-03-301219Flyers5Maple Leafs4AWXSommaire du match
172 - 2022-04-011232Flyers5Canadiens1AWSommaire du match
175 - 2022-04-041263Penguins5Flyers3BLSommaire du match
176 - 2022-04-051270Flyers4Blackhawks2AWSommaire du match
178 - 2022-04-071285Flyers1Jets3ALSommaire du match
180 - 2022-04-091303Senators4Flyers3BLXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57504750375027501000
Prix des billets1251007550300
Assistance224,057182,548144,252107,71831,724
Attendance PCT95.04%93.73%93.82%95.54%77.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 16837 - 93.54% 2,545,773$104,376,692$1800095

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
72,574,719$ 71,914,000$ 56,767,250$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
397,315$ 70,284,731$ 0$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 408,365$ 408,365$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
429,793$ 69,057,847$ 68,628,054$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
70,682,046$ 10,817,954$ 81,500,000$ 10,482,046$

Retained Salary
Player232022-20232023-20242024-20252025-2026
Total0$0$0$0$0$

Retained Buyout
Player232022-20232023-20242024-20252025-20262026-2027
Total0$0$0$0$0$0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Mitchell MarnerAGE:24PO:0OV:75
Andrei SvechnikovAGE:21PO:0OV:73
Timo MeierAGE:25PO:0OV:71
Scott LaughtonAGE:27PO:0OV:71
Frank VatranoAGE:27PO:0OV:70
Andrew CoglianoAGE:34PO:0OV:68
Ondrej KaseAGE:26PO:0OV:67
Michael RafflAGE:33PO:0OV:67
Michael RasmussenAGE:22PO:0OV:66
Gerald MayhewAGE:29PO:0OV:65
Nathan WalkerAGE:27PO:0OV:64
Kevin RoyAGE:28PO:0OV:63
Ivan ChekhovichAGE:22PO:0OV:61
Ryan BourqueAGE:30PO:0OV:59
Mitchell MarnerAGE:24PO:0OV:75
John TavaresAGE:31PO:0OV:74
Scott LaughtonAGE:27PO:0OV:71
Frank VatranoAGE:27PO:0OV:70
Nick SchmaltzAGE:25PO:0OV:70
Nick BoninoAGE:33PO:0OV:70
Andrew CoglianoAGE:34PO:0OV:68
Kirby DachAGE:20PO:0OV:68
Cody GlassAGE:22PO:0OV:67
Michael RasmussenAGE:22PO:0OV:66
Adam GaudetteAGE:25PO:0OV:66
Jack StudnickaAGE:22PO:0OV:64
Drew Shore (R)AGE:30PO:0OV:61
Rourke Chartier (R)AGE:25PO:0OV:60
Cameron Hillis (R)AGE:21PO:0OV:59
Jamieson Rees (R)AGE:20PO:0OV:59
Matthew Struthers (R)AGE:22PO:0OV:58
Mitchell MarnerAGE:24PO:0OV:75
Andrei SvechnikovAGE:21PO:0OV:73
Timo MeierAGE:25PO:0OV:71
Frank VatranoAGE:27PO:0OV:70
Nick SchmaltzAGE:25PO:0OV:70
Kirby DachAGE:20PO:0OV:68
Ondrej KaseAGE:26PO:0OV:67
Michael RafflAGE:33PO:0OV:67
Wade Allison (R)AGE:24PO:0OV:67
Nicolas Aube-KubelAGE:25PO:0OV:66
Michael RasmussenAGE:22PO:0OV:66
Gerald MayhewAGE:29PO:0OV:65
Axel Jonsson-FjallbyAGE:23PO:0OV:62
Jack Quinn (R)AGE:20PO:0OV:62
Kristian ReichelAGE:23PO:0OV:61
Ivan ChekhovichAGE:22PO:0OV:61
William Lockwood (R)AGE:23PO:0OV:61

Défense #1Défense #2Gardien
Cale MakarAGE:23PO:0OV:75
Jacob TroubaAGE:27PO:0OV:71
Brenden DillonAGE:31PO:0OV:69
Sami VatanenAGE:30PO:0OV:69
Alexander Romanov (R)AGE:21PO:0OV:68
Adam PelechAGE:27PO:0OV:68
Andy GreeneAGE:39PO:0OV:67
Alex BiegaAGE:33PO:0OV:66
Bowen Byram (R)AGE:20PO:0OV:66
Matt BenningAGE:27PO:0OV:66
Travis DermottAGE:25PO:0OV:66
Riley StillmanAGE:23PO:0OV:65
Jake BischoffAGE:27PO:0OV:63
Max Gildon (R)AGE:22PO:0OV:62
Samuel Bolduc (R)AGE:21PO:0OV:62
Kyle BurroughsAGE:26PO:0OV:61
Kaedan Korczak (R)AGE:20PO:0OV:59
Wyatte Wylie (R)AGE:22PO:0OV:59
Dawson Barteaux (R)AGE:21PO:0OV:58
Brayden PachalAGE:22PO:0OV:58
Philipp GrubauerAGE:30PO:0OV:77
Antti RaantaAGE:32PO:0OV:72
Pheonix CopleyAGE:29PO:0OV:66
Matt Villalta (R)AGE:22PO:0OV:61
Dylan Garand (R)AGE:19PO:0OV:57

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam TambelliniFlyersLien
Adam WilsbyFlyers22197
Alan LyszczarczykFlyers
Albert JohanssonFlyers2173
Albin ErikssonFlyers2070
Alex SteevesFlyers20196
Alexander DergachyovFlyers
Alexander SuvorovFlyers23233
Arvid EljasFlyers23201
Ben MirageasFlyers
Benjamin BaumgartnerFlyers22214
Brandon KozunFlyers
Brendan BudyFlyers20203
Brent JohnsonFlyers2373
Colby AmbrosioFlyers22125
Colin GreeningFlyersLien
Danil GushchinFlyers2268
Danila ZhuravlyovFlyers20165
Danill MisyulFlyers21103
Denis SmirnovFlyers
Dillion HamaliukFlyers21104
Dmitri OvchinnikovFlyers22104
Elias StenmanFlyers23187
Felix GirardFlyersLien
Gregory ChaseFlyers
Jeremy SmithFlyersLien
Jesper MyrenbergFlyers20233
Jiri TichacekFlyers2398
Jonatan BerggrenFlyers2031
Jonny TychonickFlyers2041
Karl HenrikssonFlyers2186
Kirill MarchenkoFlyers2067
Kyle ToppingFlyers20103
Linus NymanFlyers
Loik LeveilleFlyers
Lukas GustafssonFlyers23169
Lukas ReichelFlyers2236
Marat KhusnutdinovFlyers2242
Marcus KallionkieliFlyers21132
Marko StachaFlyers22228
Matheson IacopelliFlyersLien
Mitchell MillerFlyers2294
Nando EggenbergerFlyers20123
Parker FordFlyers22205
Patrick CehlinFlyers
Patrik VirtaFlyers20226
Petteri LindbohmFlyers
Rory KerinsFlyers22145
Ryann O'ReillyFlyers
Samuel KnazkoFlyers22105
Scott WalfordFlyers
Sean TschigerlFlyers2386
Stefan ElliottFlyersLien
Stephen DhillonFlyers
Tobias LindbergFlyersLien
Toni UtunenFlyers20217
Tyler SoyFlyers
Veeti MiettinenFlyers2291

Choix au repêchage

Année R1R2R3R4R5R6R7R8
24
25
26
27
28




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[1/20/2022 11:44:58 AM] - TRADE : From Flyers to Ducks : Eetu Luostarinen (65), Artemi Knyazev (P).
[1/20/2022 11:44:58 AM] - TRADE : From Ducks to Flyers : Adam Pelech (68).



[4/9/2022 8:01:54 AM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[4/7/2022 11:46:52 AM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[4/7/2022 11:46:37 AM] Auto Lines Partial Function has been run for Flyers.
[4/7/2022 11:46:37 AM] Auto Roster Partial Function has been run for Flyers.
[4/6/2022 11:27:09 AM] Philipp Grubauer from Flyers is back from Exhaustion.
[4/5/2022 11:09:54 AM] Gerald Mayhew from Phantoms is back from Lacerated Right Calf Injury.
[4/5/2022 11:09:54 AM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[4/5/2022 11:09:53 AM] Philipp Grubauer from Flyers injured (Exhaustion)
[4/4/2022 11:00:23 AM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[4/4/2022 11:00:22 AM] Game 1263 - Gerald Mayhew from Phantoms is injured (Lacerated Right Calf) and is out for 3 days.
[4/2/2022 11:48:05 AM] Travis Dermott from Phantoms is back from Severed Left Wrist Tendons Injury.
[3/28/2022 11:20:13 AM] Last 7 Days Farm Star : 1 - Wade Allison of Phantoms (7-1-8) / 2 - Nico Sturm of Wild (3-5-8) / 3 - Nils Hoglander of Condors (5-2-7)
[3/27/2022 8:42:49 AM] Farm Game #1199 - Wade Allison from Phantoms has scored a Hat Trick!
[3/25/2022 11:23:05 AM] Jack Studnicka from Phantoms is back from Sports Hernia Injury.
[3/24/2022 11:01:14 AM] Game 1177 - Jack Studnicka from Phantoms is injured (Sports Hernia) and is out for 3 days.
[3/23/2022 11:17:43 AM] Bowen Byram from Phantoms is back from Groin Injury.
[3/23/2022 11:17:42 AM] Game 1168 - Bowen Byram from Phantoms is injured (Groin) and is out for 2 days.



Pas de blessure ou de suspension.


Flyers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Mitchell Marner4431682414092837234969151711.07%94864719.521646621851128251036.62%30.95318
2Nick Bjugstad548118188306-4721896996513009.08%94948217.302246681890006181352.64%00.651032
3Olli Jokinen4041211702917254548574112810.73%154667516.52245175115011819950.57%40.87642
4Mikhail Grabovski391108171279335017958911219.63%104681917.44224163124213513754.41%30.821335
5Alexander Steen3261121642765147443414107210.45%150598618.3624527613010116181148.31%50.921140

Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak22712475240.9162.6813302354595705630881570.750116
2Philipp Grubauer287123107330.9022.901600424107747934228970.71394
3Jonas Hiller1407048190.9152.6283224036442631788650.70872
4Carter Hutton125624170.9002.9365391043193191555420.75056
5Ilja Bryzgalov128554480.9082.8769838733436310130.70741

Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
582363501145264262241172001012122129-74119150013314213398826444971325066979624590765858811261394398716972757025.45%2946876.87%7844166250.78%892175450.86%695142648.74%167189018958591560783
682313605253243244-1411712041521221041841142401101121140-198724340164420065947425530755888879256481092017202414819.92%2986478.52%9884182348.49%1042202451.48%658134049.10%1734972378117011517746
782253701379203230-2741141600236109117-84111210114394113-197820332853100039817523580682814829241185199617912263415.04%3156978.10%5910181850.06%969191150.71%648131449.32%175597017077731544759
882293603077216231-154112200204395110-154117160103412112108521634155741049857224660788887770248883893316472595119.69%3045581.91%3998197350.58%1043207750.22%573115549.61%171895317557861521744
9823130023610242250-841151601243112122-1041161401127130128291242383625300588492264507579259392506752106116812744717.15%3335583.48%31041211949.13%1034202651.04%609121750.04%174297117487811516737
1082402702436243207364121150012211310013411912023141301072310024339964233066868625980806921853259876699616152614818.39%3436680.76%71000196250.97%1092213851.08%558113849.03%169193817607931527741
11822733043872262233411513032531171001741122001134109123-148822636859413064886225830809913832258583688816572755319.27%3766383.24%6957201347.54%1001213946.80%570117348.59%173696617847961489722
128236310128425424014412112011421401083241151900142114132-189625442567910063869627770957930868265692491416543155216.51%3458575.36%51033213648.36%995209747.45%588122348.08%1777101217587641449717
1382322904494254253141181402151131129241141502343123124-19825441066432051949626290833883887262287486717582435522.63%3746981.55%9928196647.20%998201249.60%554116847.43%175399117847691463709
14823124026127238232641131401382116120-4411810013451221121010323837961731055759425490824844850259287462016013006220.67%2524482.54%31027198151.84%958197348.56%631116754.07%173093817747781523772
15823723061123252217354119120315111710314411811030721351142111425240565712058948227340855927917270391650316182745620.44%2263783.63%41023207049.42%970194649.85%623122151.02%174499517957571464730
1682323004655241253-1241131803331116127-1141191201324125126-19324142466513075847323770741813793251777255415762203616.36%1913581.68%31342272249.30%1423280950.66%626128548.72%1885131320645981039506
1786363302447260261-1432014002431361241243161902204124137-139526046372323095926727330905909892249074943116952434217.28%1834277.05%31607312551.42%1447279251.83%698136751.06%2082146120546151091541
1882314201224218254-3641162001112106116-1041152200112112138-267421839060843085735724440820823786243675046615562093516.75%1783182.58%11471275553.39%1341265850.45%670126852.84%1944135819945731018511
19822835023410234277-4341151801223115139-2441131701127119138-198123441564941086796323370781799736256976348015902003115.50%2123185.38%01282268547.75%1301281246.27%648133548.54%1905132820565921032510
2082224203573180241-614111200224286112-264111220133194129-357218031449415062555320650680685675249374569417452623714.12%2735280.95%01246252249.41%1367288747.35%603118750.80%1926132920056071054516
2182293602654224236-124116180112312511964113180153199117-188222439561902083676721770692704753235473876318282995016.72%2996279.26%11236268945.97%1273269847.18%599127646.94%1930132620066101043517
2282343802422241237441162002210119121-24118180021212211668224142166215087807023070739775779234667263717933065517.97%2595877.61%11394278150.13%1293270647.78%628128848.76%1993138219205951038524
2382362803843265236294116150142312712524120130242013811127972654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
Total Saison régulière15626036250506711410344984584-8678130530702931654422242225-178129831802136495922742359-85170444987586120843842981297156413884728984314968161471490347950152171427631987497191418.39%5303103680.46%73216784365249.66%219144428149.49%118272381049.67%347682153837541143512493012320
Séries éliminatoires
640400000615-92020000037-42020000038-5069150003211240404935133384254300.00%19668.42%05210052.00%439346.24%366258.06%8044387117387034
9734000001520-53120000048-4422000001112-161524391003471830645265211727711624520.83%32584.38%09317553.14%7916946.75%459746.39%137691617113767
10514000001215-331200000910-12020000035-221217290003721640644452167645110618316.67%17288.24%16213147.33%6312550.40%226434.38%9852116488944
12954000002526-1431000001385523000001218-6102536610002139278087110802829713821836411.11%451273.33%112426147.51%8521040.48%5812546.40%1871041978416076
1340400000616-102020000036-320200000310-706915000231121038423812124738015320.00%34585.29%05510253.92%5110349.51%305356.60%814289417233
14624000001719-231200000911-231200000880417294600073716806337662166172100321031.25%27485.19%07614851.35%8617549.14%428251.22%116581386011358
15514000001117-631200000810-22020000037-42112031000443165049426416569489321314.29%17382.35%06913850.00%5312044.17%356851.47%11363108478945
Total Séries éliminatoires4012280000092128-3620713000004960-1120515000004368-2524921442361002436301203040537640012954255017671492818.79%1913780.63%2531105550.33%46099546.23%26855148.64%81443546822093732360

Flyers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Gabriel Landeskog1910818-41238296116.39%839520.8164101400013141.03%10.9100
2Alexander Steen207613-32129206610.61%936818.413471400001147.71%00.7100
3Christian Ehrhoff194812-5403740458.89%2655529.2213470003010.00%00.4300
4Nazem Kadri133811-3161723436.98%621416.50011300000145.86%01.0300
5Shane Doan125611-4829164511.11%1026221.903251000003060.00%00.8400

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak135710.9022.987660038387179100.0000
2Jonas Hiller124530.9102.767380034377176010.0000
3Josh Harding62210.9192.79344001619879000.0000
4Carter Hutton51220.8973.29310001716580000.0000
5Philipp Grubauer10000.75011.4321004166000.0000