Stars
GP: 82 | W: 61 | L: 20 | OTL: 1 | P: 123
GF: 343 | GA: 237 | PP%: 29.57% | PK%: 79.69%
DG: Marc-Andre Turcotte | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Firebirds
42-33-7, 91pts
2
FINAL
8 Stars
61-20-1, 123pts
Team Stats
W3StreakW3
23-15-3Home Record29-12-0
19-18-4Away Record32-8-1
5-5-0Last 10 Games9-1-0
3.85Buts par match 4.18
3.89Buts contre par match 2.89
22.59%Pourcentage en avantage numérique29.57%
77.85%Pourcentage en désavantage numérique79.69%
Thunderbirds
28-44-10, 66pts
1
FINAL
5 Stars
61-20-1, 123pts
Team Stats
L2StreakW3
15-21-5Home Record29-12-0
13-23-5Away Record32-8-1
4-5-1Last 10 Games9-1-0
3.88Buts par match 4.18
4.85Buts contre par match 2.89
22.09%Pourcentage en avantage numérique29.57%
71.32%Pourcentage en désavantage numérique79.69%
Meneurs d'équipe
Dustin WolfVictoires
Dustin Wolf
61
Jordan PapirnyPourcentage d’arrêts
Jordan Papirny
0.923

Statistiques d’équipe
Buts pour
343
4.18 GFG
Tirs pour
3218
39.24 Avg
Pourcentage en avantage numérique
29.6%
89 GF
Début de zone offensive
43.8%
Buts contre
237
2.89 GAA
Tirs contre
2554
31.15 Avg
Pourcentage en désavantage numérique
79.7%
52 GA
Début de la zone défensive
38.0%
Information d’équipe

Directeur généralMarc-Andre Turcotte
EntraîneurDan Bylsma
DivisionPacific Division
ConférenceWestern Conference
CapitaineGabriel Dumont
Assistant #1Alex Belzile
Assistant #2Zac Dalpe


Informations de l’aréna

Capacité3,000
Assistance1,584
Billets de saison300


Information formation

Équipe Pro38
Équipe Mineure19
Limite contact 57 / 80
Espoirs105


Historique d'équipe

Saison actuelle61-20-1 (123PTS)
Historique167-67-24 (0.647%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)16-8
Stanley Cup1


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
1Taylor Raddysh (R)0X100.00703795698384896859667067696566075670252950,000$
2Zac Dalpe (A)26XX100.00703884668086846376616862667478075660341750,000$
3Alex Belzile (A)22XX100.00664079657486796376626764667276075650322999,999$
4Tanner Laczynski (R)0X100.00663695657574716781656663676668075650262950,000$
5Lias Andersson (R)24XX100.006738826474917765746166606365670756402521,097,000$
6Gabriel Dumont (C)40XX100.00604070656988846270636459627378075640331750,000$
7Michael Eyssimont (R)0X100.00714963687082836673676062656769075640272950,000$
8Aleksi Heponiemi (R)0XXX100.00603490676378856477665960686466075630242950,000$
9Rhett Gardner (R)49X100.00744271588577865969615563576769075620271750,000$
10Curtis Douglas (R)0X100.00908359569978845565565763566365075620232950,000$
11Garrett Pilon (R)0X100.00643785627379815966586157636567075620252950,000$
12Jasper Weatherby (R)0XX100.00774180569180875981575861566567075620252950,000$
13Nolan Stevens (R)0X100.00713986617980785863615960646769075620272950,000$
14Caleb Jones (R)82X100.007435856876898365307262645367690756602611,159,000$
15Andrej Sustr0X100.00834375629980815730665568487576075650332750,000$
16Tobias Bjornfot (R)33X100.006537956574868463306658675062640756402231,052,000$
17Mark Friedman52X100.00684075657182736330645967506870075630283750,000$
18Jeremy Davies (R)0X100.00594069636879846430675860516769075620272950,000$
19Adam Ginning (R)0X100.00744172608382725730595864496365075610233950,000$
Rayé
1Hendrix Lapierre (R)0X100.00603878667080716465566258656163075610213950,000$
2Anthony Angello (R)57XX100.00844470579174805863545660576769075610271756,600$
3Martin Chromiak (R)0X100.00633793607281695963576156606163075610213950,000$
4Chaz Lucius (R)0X100.00653984607477615965585756636062075600203950,000$
5Chase Pearson (R)0X100.00734083578475785672555357546668075600262950,000$
6David Cotton (R)0X100.00713890588073775461555657556668075600262950,000$
7Scott Perunovich (R)0X100.00563685676581706530665356496567075610252950,000$
8Joe Hicketts (R)2X100.00553975616479855830665556486769075600271750,000$
9Ryker Evans (R)0X100.00594071616873725930675456486264075600223950,000$
10Tobie Paquette-Bisson (R)0X100.00734182558268815330575458466668075600262750,000$
11David Farrance (R)0X100.00613790597069775830635355476466075600242950,000$
12Jared McIsaac (R)0X100.00683985577770855630595355466365075600232950,000$
13Josh Jacobs (R)0X100.00713986558071775430565557466769075600272950,000$
14Cameron Crotty (R)0X100.00713986548068855330545256456466075590242950,000$
15Michael Vukojevic (R)0X100.00764081538564775230545357456264075590222950,000$
MOYENNE D’ÉQUIPE100.0069408161777879605261586056666807562
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
1Dustin Wolf (R)100.0078707170777678777678776267075650222950,000$
2Jordan Papirny (R)100.0072555671727072717072716777075630273950,000$
Rayé
1Joseph Vrbetic (R)100.0065555691646365646365646165075600213950,000$
2Ken Appleby100.0063565788626163626163626881075600281925,000$
MOYENNE D’ÉQUIPE100.007059608069687069687069657307562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma75717460817571USA521500,000$


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
1Taylor RaddyshStars (DAL)RW8065601253122011424052212732412.45%26190623.841622381092412131525415254.20%70300051.31030001778
2Caleb JonesStars (DAL)D822086106332601031221895914210.58%108204324.921619351062660111223410.00%000001.0400000974
3Zac DalpeStars (DAL)C/RW82316596353201932212948520510.54%31197624.11823315925711282713258.82%239700000.9723000675
4Lias AnderssonStars (DAL)C/LW82334578293151441082759019512.00%10168020.4971724442520002321062.14%14000100.9300100444
5Alex BelzileStars (DAL)C/RW79343973152951281812619019013.03%18148718.834192344214000411612156.92%189400010.9803001853
6Tobias BjornfotStars (DAL)D80164864122804991155478010.32%103168221.03111425942060221177030.00%000000.7600000233
7Mark FriedmanStars (DAL)D821447611162017010615658978.97%108172120.9971724782180111172200.00%000000.7100000235
8Aleksi HeponiemiStars (DAL)C/LW/RW81233659516055127248771739.27%12142417.5951116471970001284357.52%11300000.8300000026
9Andrej SustrStars (DAL)D821047573511752429912937797.75%140191823.4061218702510110175110.00%000000.59001000010
10Gabriel DumontStars (DAL)C/RW82212748722012695211671799.95%11143717.538111947229000003157.14%10500010.6700000233
11Tanner LaczynskiStars (DAL)C79191938254016167192681269.90%999812.6411272610161162459.62%109700000.7611000120
12Michael EyssimontStars (DAL)C81152237235010112105178611308.43%1386410.6800000000003150.00%7600000.8600101211
13Jeremy DaviesStars (DAL)D816303619235756055204810.91%63118414.63000317000129010.00%000000.6100100012
14Adam GinningStars (DAL)D7142125157610155584523398.89%74108115.23000113000094100.00%000000.4600002011
15Jasper WeatherbyStars (DAL)C/LW8210152524155824299217110.10%587910.7300000000022064.91%5700000.5700100001
16Nolan StevensStars (DAL)LW826511-32012407822567.69%64645.6700000000001056.25%3200000.4700000000
17Garrett PilonStars (DAL)C826410-32033052215311.54%75276.430222260000522045.74%9400000.3800000000
18Curtis DouglasStars (DAL)C81459-6375153686423456.25%106127.56000215000002052.73%58600000.2900001101
19Scott PerunovichStars (DAL)D10055520392140.00%413713.740000100000000.00%000000.7300000000
20Anthony AngelloStars (DAL)C/RW6202021511174428.57%1569.4400000000010025.00%400000.7100001100
21Rhett GardnerStars (DAL)C82112320129641316.67%2901.1100015000010045.61%5700000.4400000000
22Hendrix LapierreStars (DAL)C1000000000000.00%011.020000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1550340627967315619551958197932181005225310.57%7612417915.608916825771424434711401751582057.20%735500170.80310506554657
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
1Dustin WolfStars (DAL)82612010.9082.8549014123325380131.00010820223
2Jordan PapirnyStars (DAL)10000.9231.9431001130000.0000082000
Statistiques d’équipe totales ou en moyenne83612010.9082.8549334123425510131.000108282223


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 GinningStars (DAL)D231/13/2000Yes196 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Aleksi HeponiemiStars (DAL)C/LW/RW241/9/1999Yes155 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Alex BelzileStars (DAL)C/RW328/31/1991No196 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Andrej SustrStars (DAL)D3311/29/1990No217 Lbs6 ft7NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Anthony AngelloStars (DAL)C/RW273/6/1996Yes210 Lbs6 ft5NoNoNo1Pro & Farm756,600$756,600$0$0$NoLien / Lien NHL
Caleb Jones (contrat à 1 volet)Stars (DAL)D266/6/1997Yes194 Lbs6 ft1NoNoNo1Pro & Farm1,159,000$1,159,000$1,159,000$0$NoLien / Lien NHL
Cameron CrottyStars (DAL)D245/5/1999Yes182 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Chase PearsonStars (DAL)C268/23/1997Yes202 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Chaz LuciusStars (DAL)C205/2/2003Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Curtis DouglasStars (DAL)C233/6/2000Yes235 Lbs6 ft9NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
David CottonStars (DAL)C267/9/1997Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
David FarranceStars (DAL)D246/23/1999Yes189 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dustin WolfStars (DAL)G224/16/2001Yes166 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Gabriel DumontStars (DAL)C/RW3310/6/1990No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Garrett PilonStars (DAL)C254/13/1998Yes191 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Hendrix LapierreStars (DAL)C212/9/2002Yes180 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jared McIsaacStars (DAL)D233/27/2000Yes196 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jasper WeatherbyStars (DAL)C/LW251/22/1998Yes222 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jeremy DaviesStars (DAL)D2712/4/1996Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Joe HickettsStars (DAL)D275/4/1996Yes180 Lbs5 ft8NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jordan PapirnyStars (DAL)G274/10/1996Yes169 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Joseph VrbeticStars (DAL)G2110/24/2002Yes194 Lbs6 ft6NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Josh JacobsStars (DAL)D272/15/1996Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Ken ApplebyStars (DAL)G284/10/1995No210 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Lias Andersson (contrat à 1 volet)Stars (DAL)C/LW2510/13/1998Yes185 Lbs6 ft1NoNoNo2Pro & Farm1,097,000$1,097,000$1,097,000$0$No1,097,000$Lien / Lien NHL
Mark FriedmanStars (DAL)D2812/25/1995No185 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Martin ChromiakStars (DAL)RW218/20/2002Yes187 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Michael EyssimontStars (DAL)C279/9/1996Yes180 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Michael VukojevicStars (DAL)D226/8/2001Yes207 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Nolan StevensStars (DAL)LW277/22/1996Yes183 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Rhett GardnerStars (DAL)C272/28/1996Yes210 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Ryker EvansStars (DAL)D2212/13/2001Yes189 Lbs5 ft10NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Scott PerunovichStars (DAL)D258/18/1998Yes175 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tanner LaczynskiStars (DAL)C266/1/1997Yes190 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Taylor RaddyshStars (DAL)RW252/18/1998Yes198 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tobias Bjornfot (contrat à 1 volet)Stars (DAL)D224/6/2001Yes200 Lbs6 ft0NoNoNo3Pro & Farm1,052,000$550,000$1,052,000$0$No1,052,000$1,052,000$Lien / Lien NHL
Tobie Paquette-BissonStars (DAL)D262/1/1997Yes194 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Zac DalpeStars (DAL)C/RW3411/1/1989No197 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3825.55193 Lbs6 ft12.05920,779$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lias AnderssonZac DalpeTaylor Raddysh40122
2Aleksi HeponiemiAlex BelzileGabriel Dumont30122
3Jasper WeatherbyTanner LaczynskiMichael Eyssimont20122
4Nolan StevensCurtis DouglasGarrett Pilon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr40122
2Tobias BjornfotMark Friedman30122
3Jeremy DaviesAdam Ginning20122
4Caleb JonesTobias Bjornfot10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lias AnderssonZac DalpeTaylor Raddysh60122
2Garrett PilonAlex BelzileGabriel Dumont40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr60122
2Tobias BjornfotMark Friedman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshZac Dalpe60122
2Alex BelzileTanner Laczynski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAdam Ginning60122
2Tobias BjornfotAndrej Sustr40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Caleb JonesAdam Ginning60122
2Zac Dalpe40122Tobias BjornfotAndrej Sustr40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshZac Dalpe60122
2Alex BelzileLias Andersson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr60122
2Tobias BjornfotJeremy Davies40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lias AnderssonZac DalpeTaylor RaddyshCaleb JonesAndrej Sustr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lias AnderssonZac DalpeTaylor RaddyshCaleb JonesAndrej Sustr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Douglas, Rhett Gardner, Garrett PilonCurtis Douglas, Rhett GardnerGarrett Pilon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Caleb Jones, Adam Ginning, Tobias BjornfotCaleb JonesCaleb Jones, Adam Ginning
Tirs de pénalité
Taylor Raddysh, Zac Dalpe, Alex Belzile, Lias Andersson, Gabriel Dumont
Gardien
#1 : Dustin Wolf, #2 : Jordan Papirny
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Zac Dalpe, Alex Belzile, Tanner Laczynski, Gabriel Dumont, Lias Andersson, Lias Andersson, Michael Eyssimont, Garrett Pilon, Curtis Douglas, Rhett Gardner
Lignes de défense personnalisées en prolongation
Caleb Jones, Tobias Bjornfot, Andrej Sustr, Mark Friedman, Jeremy Davies


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
1Admirals420020001596210010009542100100064281.000152944001301079791641118102310563112538189713538.46%9277.78%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
2Americans2110000068-21010000015-41100000053220.50061218001301079796211181023105631711539427114.29%6266.67%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
3Barracuda321000009721010000035-22200000062440.667918271013010797910011181023105631861725611417.14%90100.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
4Bears2020000048-41010000034-11010000014-300.000471100130107979791118102310563175221655300.00%7185.71%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
5Bruins21100000880110000004221010000046-220.50081220101301079798011181023105631622615526116.67%40100.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
6Checkers2100100013761000100032111000000105541.0001324370013010797911911181023105631692514575120.00%6183.33%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
7Comets3300000015961100000042222000000117461.000153045001301079791381118102310563110120147016318.75%7357.14%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
8Condors311001001112-1211000008801000010034-130.500111930001301079799811181023105631862519799444.44%70100.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
9Crunch21000010862100000104311100000043141.00081119001301079797611181023105631662316435120.00%8187.50%11857320158.01%1600277657.64%750133756.10%2131151217675711043546
10Devils22000000853110000003211100000053241.0008152300130107979891118102310563157178566233.33%3166.67%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
11Eagles4400000017107220000008442200000096381.000173047001301079791411118102310563111639399514642.86%9455.56%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
12Firebirds3300000015692200000011381100000043161.000152742001301079791291118102310563110332185912650.00%8275.00%11857320158.01%1600277657.64%750133756.10%2131151217675711043546
13Griffins2110000078-1110000005411010000024-220.50071421001301079796911181023105631532420474250.00%10280.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
14Gulls3210000016971010000045-122000000124840.667163046001301079791241118102310563110524186314642.86%9277.78%11857320158.01%1600277657.64%750133756.10%2131151217675711043546
15IceHogs4300100016115220000008532100100086281.000163046001301079791371118102310563111236329516425.00%15566.67%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
16Marlies22000000844110000004221100000042241.00081422001301079797111181023105631611110517114.29%3166.67%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
17Monsters220000001239110000005141100000072541.000122234001301079799911181023105631471625477571.43%5180.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
18Moose4300100016106210010008532200000085381.000162844001301079791851118102310563111326228121314.29%11372.73%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
19Penguins2110000067-1110000005411010000013-220.50061117001301079797111181023105631622816429222.22%8275.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
20Phantoms211000006601010000024-21100000042220.5006111700130107979431118102310563171192649100.00%11372.73%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
21Reign33000000177102200000011471100000063361.00017314800130107979108111810231056319326206912650.00%10190.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
22Roadrunners31200000151142110000013851010000023-120.333152540101301079799611181023105631963232745240.00%14285.71%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
23Rocket20101000770100010003211010000045-120.50071421001301079798711181023105631692012548337.50%60100.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
24Senators2110000057-21010000015-41100000042220.50051015001301079798111181023105631682016426233.33%8187.50%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
25Silver Knights321000009902110000067-11100000032140.6679172600130107979115111810231056319230186113323.08%9277.78%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
26Sound Tigers211000009721010000034-11100000063320.50091726001301079798111181023105631572114438337.50%7185.71%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
27Thunderbirds431000002471722000000151142110000096360.7502445690113010797920911181023105631100272010219842.11%9277.78%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
28Wild31100010131031010000045-12100001095440.66713243700130107979101111810231056319029258914428.57%10370.00%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
29Wolf Pack2020000057-21010000045-11010000012-100.00051015001301079796211181023105631811516695120.00%8187.50%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
30Wolves21000010963110000004221000001054141.000914230013010797971111810231056317330184010110.00%9277.78%01857320158.01%1600277657.64%750133756.10%2131151217675711043546
31Wranglers330000001468110000006422200000082661.00014264000130107979133111810231056319428227412216.67%11190.91%11857320158.01%1600277657.64%750133756.10%2131151217675711043546
Total8252200613034323710641241204010172122504128802120171115561230.75034362797031130107979321811181023105631255476162319583018929.57%2565279.69%41857320158.01%1600277657.64%750133756.10%2131151217675711043546
_Since Last GM Reset8252200613034323710641241204010172122504128802120171115561230.75034362797031130107979321811181023105631255476162319583018929.57%2565279.69%41857320158.01%1600277657.64%750133756.10%2131151217675711043546
_Vs Conference463270412019712374231740200010462422315302120936132770.83719735955621130107979181011181023105631134241733810891845529.89%1372879.56%11857320158.01%1600277657.64%750133756.10%2131151217675711043546
_Vs Division24164001001066541128300000533815128100100532726330.68810619830410130107979945111810231056317602021545361023130.39%701184.29%31857320158.01%1600277657.64%750133756.10%2131151217675711043546

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82123W334362797032182554761623195831
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8252206130343237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124124010172122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412882120171115
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3018929.57%2565279.69%4
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
11181023105631130107979
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
1857320158.01%1600277657.64%750133756.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2131151217675711043546


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
3 - 2023-10-1213Thunderbirds0Stars10BWSommaire du match
8 - 2023-10-1748Stars3Silver Knights2AWSommaire du match
10 - 2023-10-1959Stars4Gulls3AWSommaire du match
12 - 2023-10-2172Phantoms4Stars2BLSommaire du match
15 - 2023-10-2488Stars1Penguins3ALSommaire du match
17 - 2023-10-26108Marlies2Stars4BWSommaire du match
21 - 2023-10-30136Monsters1Stars5BWSommaire du match
23 - 2023-11-01142Stars4Wranglers1AWSommaire du match
24 - 2023-11-02152Stars3Condors4ALXSommaire du match
26 - 2023-11-04172Stars7Comets4AWSommaire du match
28 - 2023-11-06178Bruins2Stars4BWSommaire du match
31 - 2023-11-09194Stars7Monsters2AWSommaire du match
33 - 2023-11-11211Stars3Moose2AWSommaire du match
34 - 2023-11-12223Stars4Wild1AWSommaire du match
36 - 2023-11-14233Roadrunners3Stars10BWSommaire du match
40 - 2023-11-18264Eagles2Stars5BWSommaire du match
42 - 2023-11-20274Wolf Pack5Stars4BLSommaire du match
44 - 2023-11-22289Silver Knights5Stars2BLSommaire du match
46 - 2023-11-24305Wranglers4Stars6BWSommaire du match
50 - 2023-11-28332Stars5Moose3AWSommaire du match
52 - 2023-11-30351Stars4Wranglers1AWSommaire du match
54 - 2023-12-02356Crunch3Stars4BWXXSommaire du match
56 - 2023-12-04375Stars4Crunch3AWSommaire du match
58 - 2023-12-06388Stars10Checkers5AWSommaire du match
59 - 2023-12-07396Stars1Bears4ALSommaire du match
61 - 2023-12-09410Silver Knights2Stars4BWSommaire du match
63 - 2023-12-11430Griffins4Stars5BWSommaire du match
67 - 2023-12-15458Senators5Stars1BLSommaire du match
68 - 2023-12-16469Stars2Thunderbirds4ALSommaire du match
70 - 2023-12-18482Firebirds1Stars3BWSommaire du match
73 - 2023-12-21505Comets2Stars4BWSommaire du match
75 - 2023-12-23514Stars2Admirals1AWSommaire du match
79 - 2023-12-27536Stars7Thunderbirds2AWSommaire du match
81 - 2023-12-29551IceHogs4Stars5BWSommaire du match
83 - 2023-12-31572IceHogs1Stars3BWSommaire du match
85 - 2024-01-02577Rocket2Stars3BWXSommaire du match
87 - 2024-01-04593Eagles2Stars3BWSommaire du match
89 - 2024-01-06614Admirals1Stars4BWSommaire du match
91 - 2024-01-08623Stars5Wild4AWXXSommaire du match
93 - 2024-01-10636Wild5Stars4BLSommaire du match
95 - 2024-01-12651Admirals4Stars5BWXSommaire du match
96 - 2024-01-13664Stars4IceHogs3AWSommaire du match
99 - 2024-01-16684Reign2Stars5BWSommaire du match
101 - 2024-01-18694Stars4Phantoms2AWSommaire du match
103 - 2024-01-20712Stars5Devils3AWSommaire du match
104 - 2024-01-21721Stars6Sound Tigers3AWSommaire du match
106 - 2024-01-23730Stars2Griffins4ALSommaire du match
108 - 2024-01-25751Gulls5Stars4BLSommaire du match
110 - 2024-01-27760Bears4Stars3BLSommaire du match
120 - 2024-02-06784Stars5Americans3AWSommaire du match
121 - 2024-02-07792Stars4Marlies2AWSommaire du match
124 - 2024-02-10806Stars4Rocket5ALSommaire du match
127 - 2024-02-13830Wolves2Stars4BWSommaire du match
129 - 2024-02-15847Stars4Admirals3AWXSommaire du match
131 - 2024-02-17850Condors4Stars3BLSommaire du match
133 - 2024-02-19868Stars4Bruins6ALSommaire du match
134 - 2024-02-20877Stars1Wolf Pack2ALSommaire du match
136 - 2024-02-22892Stars4Senators2AWSommaire du match
138 - 2024-02-24909Stars5Wolves4AWXXSommaire du match
140 - 2024-02-26924Sound Tigers4Stars3BLSommaire du match
141 - 2024-02-27936Stars4Eagles3AWSommaire du match
143 - 2024-02-29947Moose1Stars3BWSommaire du match
145 - 2024-03-02966Barracuda5Stars3BLSommaire du match
148 - 2024-03-05989Stars3Barracuda1AWSommaire du match
151 - 2024-03-081007Stars8Gulls1AWSommaire du match
152 - 2024-03-091021Stars6Reign3AWSommaire du match
155 - 2024-03-121036Checkers2Stars3BWXSommaire du match
157 - 2024-03-141053Devils2Stars3BWSommaire du match
159 - 2024-03-161068Reign2Stars6BWSommaire du match
163 - 2024-03-201096Roadrunners5Stars3BLSommaire du match
165 - 2024-03-221110Penguins4Stars5BWSommaire du match
167 - 2024-03-241130Stars2Roadrunners3ALSommaire du match
169 - 2024-03-261147Stars3Barracuda1AWSommaire du match
171 - 2024-03-281163Stars4Comets3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301178Stars4Firebirds3AWSommaire du match
177 - 2024-04-031199Condors4Stars5BWSommaire du match
180 - 2024-04-061220Stars4IceHogs3AWXSommaire du match
181 - 2024-04-071236Stars5Eagles3AWSommaire du match
183 - 2024-04-091246Americans5Stars1BLSommaire du match
185 - 2024-04-111262Moose4Stars5BWXSommaire du match
187 - 2024-04-131271Firebirds2Stars8BWSommaire du match
191 - 2024-04-171305Thunderbirds1Stars5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4535
Assistance46,81518,144
Assistance PCT57.09%44.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1584 - 52.81% 83,589$3,427,147$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,653,827$ 3,168,160$ 2,888,160$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,501$ 3,144,193$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 19,105$ 0$




Stars 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
1Zac Dalpe23896141237885631754277712.36%76516221.692044641502131718357.11%10.9223
2Jake Evans15977123200615924351276010.13%55306719.2918405813612399258.32%01.3018
3Tobias Bjornfot23156141197488425028440213.93%291495721.4627376420602231050.00%10.7900
4Taylor Raddysh16293102195563625834078011.92%44344521.272239611502131718353.51%61.1328
5Caleb Jones18332140172614016924527111.81%214359319.641621371100112510.00%00.9600

Stars 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
1Dustin Wolf147983970.9033.0387078144045470350.83324
2Jake Oettinger82552340.9082.82492210523125070830.58312
3Andrew Hammond2213510.9013.421088170626280111.0004
4Ken Appleby21000.8973.0479004390000.0000
5Jordan Papirny10000.9231.9431001130000.0000

Stars 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
238247230711331123873412310050031521124041241302110159126331143115558663512010578930431006105695042251976263918552606424.62%2484980.24%41811322756.12%1555275356.48%758132257.34%2166152817385651046552
202282422406532366277894120150510018314043412290143218313746109366666103230151102104123082997104898572267077560219332577428.79%2495478.31%11761303957.95%1640278858.82%871145359.94%2164154217535701054550
202382522006130343237106412412040101721225041288021201711155612334362797031130107979321811181023105631255476162319583018929.57%2565279.69%41857320158.01%1600277657.64%750133756.10%2131151217675711043546
Total Saison régulière246141670197751020752268123673701411350737413312374300566251337813534610201848286896401314279309343312131272991145774322981864574681822727.75%75315579.42%95429946757.35%4795831757.65%2379411257.86%646245835258170731441649
Séries éliminatoires
20222416800000826517141130000050341610550000032311328214923100252924487428626027553756226148560761418.42%591083.05%150494953.11%44182453.52%20038252.36%638452553175322166
Total Séries éliminatoires2416800000826517141130000050341610550000032311328214923100252924487428626027553756226148560761418.42%591083.05%150494953.11%44182453.52%20038252.36%638452553175322166

Stars 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
1Jake Evans241615311112387912213.11%747219.683472600005455.80%01.3100
2Zac Dalpe2471320112323246710.45%650421.033472000022246.67%00.7900
3Tobias Bjornfot2441519-2105833508.00%3657624.04156200001100.00%00.6600
4Mark Friedman244141861056373511.43%2748720.30156110110100.00%00.7400
5Jasper Weatherby24610160133536659.23%343618.191231400001058.82%00.7300

Stars 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
1Dustin Wolf2214710.9092.73138700636950100.0000
2Andrew Hammond32000.9670.97124202610000.0000