Thunderbirds
GP: 25 | W: 9 | L: 15 | OTL: 1 | P: 19
GF: 70 | GA: 100 | PP%: 14.10% | PK%: 73.91%
DG: Mathieu Guimond | Morale : 75 | Moyenne d’équipe : 60
Prochain matchs #403 vs Moose
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Centre de jeu
Thunderbirds
9-15-1, 19pts
3
FINAL
2 Devils
14-13-0, 28pts
Team Stats
L1StreakW1
5-7-0Home Record7-6-0
4-8-1Away Record7-7-0
5-5-0Last 10 Games3-7-0
2.80Buts par match 2.89
4.00Buts contre par match 2.85
14.10%Pourcentage en avantage numérique23.17%
73.91%Pourcentage en désavantage numérique82.56%
Phantoms
14-9-2, 30pts
2
FINAL
0 Thunderbirds
9-15-1, 19pts
Team Stats
W1StreakL1
8-3-2Home Record5-7-0
6-6-0Away Record4-8-1
8-1-1Last 10 Games5-5-0
3.56Buts par match 2.80
2.80Buts contre par match 4.00
18.09%Pourcentage en avantage numérique14.10%
82.89%Pourcentage en désavantage numérique73.91%
Thunderbirds
9-15-1, 19pts
2024-12-03
Moose
10-14-0, 20pts
Statistiques d’équipe
L1SéquenceW1
5-7-0Fiche domicile2-8-0
4-8-1Fiche visiteur8-6-0
5-5-010 derniers matchs4-6-0
2.80Buts par match 3.42
4.00Buts contre par match 3.75
14.10%Pourcentage en avantage numérique23.29%
73.91%Pourcentage en désavantage numérique79.01%
Thunderbirds
9-15-1, 19pts
2024-12-05
Wranglers
8-13-4, 20pts
Statistiques d’équipe
L1SéquenceW1
5-7-0Fiche domicile4-8-0
4-8-1Fiche visiteur4-5-4
5-5-010 derniers matchs3-6-1
2.80Buts par match 2.80
4.00Buts contre par match 3.28
14.10%Pourcentage en avantage numérique15.66%
73.91%Pourcentage en désavantage numérique83.93%
Thunderbirds
9-15-1, 19pts
2024-12-07
Condors
12-12-0, 24pts
Statistiques d’équipe
L1SéquenceW2
5-7-0Fiche domicile8-4-0
4-8-1Fiche visiteur4-8-0
5-5-010 derniers matchs4-6-0
2.80Buts par match 3.17
4.00Buts contre par match 3.29
14.10%Pourcentage en avantage numérique14.71%
73.91%Pourcentage en désavantage numérique81.01%
Meneurs d'équipe
Pavol RegendaButs
Pavol Regenda
10
Pavol RegendaPasses
Pavol Regenda
9
Pavol RegendaPoints
Pavol Regenda
19
Alexander TruePlus/Moins
Alexander True
-1
Zane McIntyreVictoires
Zane McIntyre
8
Troy GrosenickPourcentage d’arrêts
Troy Grosenick
0.93

Statistiques d’équipe
Buts pour
70
2.80 GFG
Tirs pour
816
32.64 Avg
Pourcentage en avantage numérique
14.1%
11 GF
Début de zone offensive
38.2%
Buts contre
100
4.00 GAA
Tirs contre
955
38.20 Avg
Pourcentage en désavantage numérique
73.9%
24 GA
Début de la zone défensive
42.9%
Information d’équipe

Directeur généralMathieu Guimond
EntraîneurAlex Burrows
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,916
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 80
Espoirs60


Historique d'équipe

Saison actuelle9-15-1 (19PTS)
Historique1071-842-164 (0.516%)
Apparitions séries éliminatoires 16
Historique séries éliminatoires (W-L)105-85
Stanley Cup3


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 moyen
1Cedric Pare (R)0X100.00754178608483795868615960576567075620251950,000$
2Rhett Gardner49X100.00734267608581845972585763586870075620281750,000$
3Filip Cederqvist0X100.00744084588378805754565659556466075610242999,999$
4Dominic Franco0X100.00847165579367795661545558576870075610281750,000$
5Drew Callin0X100.00754182578471845659545558566971075610291750,000$
6Josiah Slavin (R)0X100.00724085598169865855565760586668075610251950,000$
7Luke Toporowski0X100.00603880576982815862596056586365075600232999,999$
8Tate Singleton0X100.00715056626573615867645456586668075600261750,000$
9Spencer Smallman0X100.00684177597775815754555856596870075600281750,000$
10Timur Ibragimov0X100.00653695577466685660575855566466075600233750,000$
11Colton Young0X100.00603695566971625452555553566668075580261750,000$
12Riley Bezeau0X100.00634460577273755652545553566264075580221750,000$
13Philip Kemp (R)0X100.00694176598465855830575660496567075610253950,000$
14Devante Stephens (R)0X100.00704271588064795730565553466769075600271750,000$
15Alex Green (R)0X100.00734272558269745230545357456668075590261950,000$
16Josh Maniscalco (R)0X100.00723989568165695430575158456567075590252950,000$
17Aaron Ness0X100.00583784566764865530585354467476075590341750,000$
18Montana Onyebuchi0X100.00756152568465755430555357456466075580243750,000$
Rayé
1Steven Fogarty0X100.00734173578481855663585961577173075620311750,000$
2Keaton Thompson0X100.00623889577164695630555452456971075590291750,000$
3Austin Osmanski0X100.00794668548864675230535157456668075580261750,000$
4Sam Jardine (R)0X100.00663980577563615530565054457173075580313950,000$
MOYENNE D’ÉQUIPE100.0070437657797176564856555752676907560
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 moyen
1Troy Grosenick100.0072767074717072717072717589075640351750,000$
2Zane McIntyre100.0070817682696870696870697286075640321750,000$
Rayé
MOYENNE D’ÉQUIPE100.007179737870697170697170748807564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows70646866646083CAN4331,000,000$


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
1Filip CederqvistThunderbirds (STL)LW2591019020232981184011.11%645418.1813414510000300166.67%4500000.8400000100
2Pavol RegendaBluesLW2110919-6100586877277112.99%953125.3012313570002771044.72%19900010.7200000211
3Tate SingletonThunderbirds (STL)RW2541418027553506518596.15%440116.041231244000001057.14%4200000.9000010002
4Philip KempThunderbirds (STL)D2541216-118039354317349.30%5158823.542242367000168010.00%000000.5400000010
5Steven FogartyThunderbirds (STL)C247815-412036727921438.86%948120.0710113620000400048.27%60700000.6200000013
6Rhett GardnerThunderbirds (STL)C257714-66032668121548.64%1148919.6031415500001691047.93%60300010.5700000110
7Aaron NessThunderbirds (STL)D25111120401926164196.25%3951320.55033850000066000.00%000000.4700000100
8Spencer SmallmanThunderbirds (STL)RW257512-86014237111399.86%736514.61011321000001043.75%3200000.6600000020
9Josiah SlavinThunderbirds (STL)LW253811-84018335521515.45%736514.60112521000001042.31%2600000.6000000001
10Dominic FrancoThunderbirds (STL)C25459321561263081913.33%1331612.65000050000170148.28%26100000.5700001100
11Josh ManiscalcoThunderbirds (STL)D25189030054261910135.26%4651220.520331264000063000.00%000000.3500000000
12Drew CallinThunderbirds (STL)RW25189-118037424412502.27%848119.240118660000320040.00%6500000.3700000000
13Alex GreenThunderbirds (STL)D25268-23205118232168.70%3949719.89000524000057100.00%000000.3200000010
14Devante StephensThunderbirds (STL)D21156-151605415157146.67%1640419.27022939000034000.00%000000.3000000000
15Cedric PareThunderbirds (STL)C20325-28013434510236.67%11899.4610111260000281151.48%23700000.5300000010
16Timur IbragimovThunderbirds (STL)LW2522422027162812.50%11194.7700000000000036.84%1900000.6700000001
17Alexander TrueBluesC5213-1008131131118.18%17214.4800000000062054.17%7200000.8300000100
18Luke ToporowskiThunderbirds (STL)LW25112-40079163136.25%11184.7400014000030152.78%3600000.3400000000
19Colton YoungThunderbirds (STL)LW101010000220150.00%0242.4500000000040035.00%2000000.8200000000
20Riley BezeauThunderbirds (STL)RW20011000719010.00%0361.8400020000000014.29%700000.5400000000
21Keaton ThompsonThunderbirds (STL)D19000-11006913470.00%1930115.89000325000010000.00%000000.0000000000
22Montana OnyebuchiThunderbirds (STL)D8000-2601145110.00%5739.190000000002000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne47370123193-86202106036178162205878.58%293733915.5211213215768700046149548.30%227100020.5300011788
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
1Zane McIntyreThunderbirds (STL)2281300.8993.91115120757390110.0000205210
2Nikita TolopiloBlues51210.8605.0721300181290000.000050001
3Troy GrosenickThunderbirds (STL)40000.9302.65136006860000.0000020000
Statistiques d’équipe totales ou en moyenne3191510.8963.96150120999540110.00002525211


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
Aaron NessThunderbirds (STL)D341990-05-18No184 Lbs5 ft10NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Alex GreenThunderbirds (STL)D261998-06-18Yes194 Lbs6 ft3NoNoNo1Pro & Farm950,000$668,878$950,000$668,878$0$0$NoLien / Lien NHL
Austin OsmanskiThunderbirds (STL)D261998-04-30No207 Lbs6 ft4NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Cedric PareThunderbirds (STL)C251999-01-24Yes205 Lbs6 ft3NoNoNo1Pro & Farm950,000$668,878$950,000$668,878$0$0$NoLien / Lien NHL
Colton YoungThunderbirds (STL)LW261998-08-23No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien
Devante StephensThunderbirds (STL)D271997-01-02Yes185 Lbs6 ft3NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Dominic FrancoThunderbirds (STL)C281996-01-07No218 Lbs6 ft5NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Drew CallinThunderbirds (STL)RW291995-04-05No205 Lbs6 ft3NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Filip CederqvistThunderbirds (STL)LW242000-08-23No196 Lbs6 ft3NoNoNo2Pro & Farm999,999$704,081$999,999$704,081$0$0$No999,999$Lien / Lien NHL
Josh ManiscalcoThunderbirds (STL)D251999-02-17Yes205 Lbs6 ft2NoNoNo2Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$Lien / Lien NHL
Josiah SlavinThunderbirds (STL)LW251998-12-31Yes189 Lbs6 ft3NoNoNo1Pro & Farm950,000$668,878$950,000$668,878$0$0$NoLien / Lien NHL
Keaton ThompsonThunderbirds (STL)D291995-09-14No182 Lbs6 ft0NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Luke ToporowskiThunderbirds (STL)LW232001-04-12No183 Lbs5 ft11NoNoNo2Pro & Farm999,999$704,081$999,999$704,081$0$0$No999,999$Lien / Lien NHL
Montana OnyebuchiThunderbirds (STL)D242000-03-08No201 Lbs6 ft3NoNoNo3Pro & Farm750,000$528,061$750,000$528,061$0$0$No750,000$750,000$Lien / Lien NHL
Philip KempThunderbirds (STL)D251999-02-12Yes202 Lbs6 ft3NoNoNo3Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$950,000$Lien / Lien NHL
Rhett GardnerThunderbirds (STL)C281996-02-28No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Riley BezeauThunderbirds (STL)RW222002-05-04No187 Lbs6 ft0NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Sam JardineThunderbirds (STL)D311993-08-12Yes190 Lbs6 ft1NoNoNo3Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$950,000$Lien
Spencer SmallmanThunderbirds (STL)RW281996-09-09No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Steven FogartyThunderbirds (STL)C311993-04-19No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Tate SingletonThunderbirds (STL)RW261998-09-05No176 Lbs5 ft9NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien
Timur IbragimovThunderbirds (STL)LW232000-10-12No183 Lbs6 ft1NoNoNo3Pro & Farm750,000$528,061$750,000$528,061$0$0$No750,000$750,000$Lien / Lien NHL
Troy GrosenickThunderbirds (STL)G351989-08-27No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Zane McIntyreThunderbirds (STL)G321992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.17195 Lbs6 ft21.46820,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Luke ToporowskiTimur IbragimovDrew Callin40122
2Josiah SlavinRhett GardnerSpencer Smallman30122
3Filip CederqvistCedric PareTate Singleton20122
4Timur IbragimovDominic FrancoRiley Bezeau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip KempDevante Stephens40122
2Alex GreenJosh Maniscalco30122
3Aaron NessDominic Franco20122
4Philip KempDevante Stephens10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric PareFilip CederqvistDrew Callin60122
2Josiah SlavinRhett GardnerSpencer Smallman40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip KempDevante Stephens60122
2Alex GreenJosh Maniscalco40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drew CallinFilip Cederqvist60122
2Rhett GardnerCedric Pare40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip KempDevante Stephens60122
2Alex GreenJosh Maniscalco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Pare60122Philip KempDevante Stephens60122
2Rhett Gardner40122Alex GreenJosh Maniscalco40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip CederqvistDrew Callin60122
2Rhett GardnerCedric Pare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip KempDevante Stephens60122
2Alex GreenJosh Maniscalco40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PareRhett GardnerDrew CallinPhilip KempDevante Stephens
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PareRhett GardnerDrew CallinPhilip KempDevante Stephens
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Toporowski, Colton Young, Filip CederqvistLuke Toporowski, Colton YoungFilip Cederqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Aaron Ness, Alex Green, Josh ManiscalcoAaron NessAlex Green, Josh Maniscalco
Tirs de pénalité
Drew Callin, Luke Toporowski, Rhett Gardner, Cedric Pare, Dominic Franco
Gardien
#1 : Zane McIntyre, #2 : Troy Grosenick
Lignes d’attaque personnalisées en prolongation
Luke Toporowski, Colton Young, Rhett Gardner, Cedric Pare, Dominic Franco, Drew Callin, Drew Callin, Josiah Slavin, Filip Cederqvist, Timur Ibragimov, Spencer Smallman
Lignes de défense personnalisées en prolongation
Philip Kemp, Devante Stephens, Alex Green, Josh Maniscalco, Aaron Ness


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
1Americans1010000024-2000000000001010000024-200.000246003221152262802512805471412233133.33%6266.67%043586750.17%46297347.48%20042846.73%544365630191326155
2Barracuda2110000046-2110000002111010000025-320.5004711003221152692802512805702014578225.00%7271.43%043586750.17%46297347.48%20042846.73%544365630191326155
3Bears1010000023-11010000023-10000000000000.000246003221152272802512805395824200.00%4175.00%043586750.17%46297347.48%20042846.73%544365630191326155
4Bruins2110000069-3110000005411010000015-420.50061117003221152682802512805581912578112.50%6183.33%043586750.17%46297347.48%20042846.73%544365630191326155
5Crunch1010000035-21010000035-20000000000000.0003581032211522528025128053425419300.00%2150.00%043586750.17%46297347.48%20042846.73%544365630191326155
6Devils11000000321000000000001100000032121.000358003221152232802512805511710262150.00%4175.00%043586750.17%46297347.48%20042846.73%544365630191326155
7Firebirds1010000025-3000000000001010000025-300.00022400322115250280251280538114271000.00%20100.00%043586750.17%46297347.48%20042846.73%544365630191326155
8Marlies21000100550110000002111000010034-130.7505101500322115259280251280568152247200.00%11372.73%043586750.17%46297347.48%20042846.73%544365630191326155
9Moose1010000025-31010000025-30000000000000.0002460032211523228025128053914427100.00%2150.00%043586750.17%46297347.48%20042846.73%544365630191326155
10Phantoms2020000027-51010000002-21010000025-300.00024600322115253280251280576242240500.00%10280.00%043586750.17%46297347.48%20042846.73%544365630191326155
11Roadrunners1010000012-11010000012-10000000000000.0001230032211523628025128053214826100.00%30100.00%043586750.17%46297347.48%20042846.73%544365630191326155
12Rocket11000000312000000000001100000031221.0003470032211523628025128052611627200.00%3166.67%043586750.17%46297347.48%20042846.73%544365630191326155
13Senators1010000056-1000000000001010000056-100.000591400322115230280251280537915233133.33%5180.00%043586750.17%46297347.48%20042846.73%544365630191326155
14Silver Knights10001000541000000000001000100054121.000581300322115238280251280541517206233.33%6350.00%043586750.17%46297347.48%20042846.73%544365630191326155
15Sound Tigers220000001275110000006331100000064241.00012213300322115280280251280588271256400.00%5180.00%043586750.17%46297347.48%20042846.73%544365630191326155
16Wild20101000811-320101000811-30000000000020.50081422003221152802802512805761914396233.33%7271.43%043586750.17%46297347.48%20042846.73%544365630191326155
17Wolf Pack1010000036-3000000000001010000036-300.0003580032211523328025128053614025500.00%000.00%043586750.17%46297347.48%20042846.73%544365630191326155
18Wolves20200000212-101010000017-61010000015-400.000246003221152512802512805993020407114.29%9277.78%043586750.17%46297347.48%20042846.73%544365630191326155
Total257150210070100-301247010003244-121338011003856-18190.380701231931032211528162802512805955293204603781114.10%922473.91%043586750.17%46297347.48%20042846.73%544365630191326155
_Since Last GM Reset257150210070100-301247010003244-121338011003856-18190.380701231931032211528162802512805955293204603781114.10%922473.91%043586750.17%46297347.48%20042846.73%544365630191326155
_Vs Conference815020002233-11513010001319-630201000914-560.3752237590032211523052802512805296836119632618.75%27870.37%043586750.17%46297347.48%20042846.73%544365630191326155
_Vs Division403010001118-7403010001118-70000000000020.25011203100322115214828025128051474726928225.00%12375.00%043586750.17%46297347.48%20042846.73%544365630191326155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2519L17012319381695529320460310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25715210070100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124710003244
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
133811003856
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
781114.10%922473.91%0
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
28025128053221152
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
43586750.17%46297347.48%20042846.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
544365630191326155


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
5 - 2024-10-083Thunderbirds2Firebirds5ALSommaire du match
7 - 2024-10-1019Thunderbirds2Barracuda5ALSommaire du match
8 - 2024-10-1123Thunderbirds5Silver Knights4AWXSommaire du match
12 - 2024-10-1552Wild7Thunderbirds3BLSommaire du match
14 - 2024-10-1768Sound Tigers3Thunderbirds6BWSommaire du match
16 - 2024-10-1984Wolves7Thunderbirds1BLSommaire du match
19 - 2024-10-2299Moose5Thunderbirds2BLSommaire du match
21 - 2024-10-24110Thunderbirds3Marlies4ALXSommaire du match
23 - 2024-10-26126Thunderbirds3Rocket1AWSommaire du match
26 - 2024-10-29150Thunderbirds5Senators6ALSommaire du match
28 - 2024-10-31162Thunderbirds2Phantoms5ALSommaire du match
30 - 2024-11-02181Marlies1Thunderbirds2BWSommaire du match
33 - 2024-11-05199Crunch5Thunderbirds3BLSommaire du match
35 - 2024-11-07215Roadrunners2Thunderbirds1BLSommaire du match
37 - 2024-11-09229Bears3Thunderbirds2BLSommaire du match
40 - 2024-11-12248Bruins4Thunderbirds5BWSommaire du match
42 - 2024-11-14257Thunderbirds2Americans4ALSommaire du match
44 - 2024-11-16272Thunderbirds1Bruins5ALSommaire du match
45 - 2024-11-17284Thunderbirds1Wolves5ALSommaire du match
47 - 2024-11-19296Wild4Thunderbirds5BWXSommaire du match
49 - 2024-11-21312Barracuda1Thunderbirds2BWSommaire du match
51 - 2024-11-23330Thunderbirds6Sound Tigers4AWSommaire du match
53 - 2024-11-25337Thunderbirds3Wolf Pack6ALSommaire du match
55 - 2024-11-27348Thunderbirds3Devils2AWSommaire du match
58 - 2024-11-30381Phantoms2Thunderbirds0BLSommaire du match
61 - 2024-12-03403Thunderbirds-Moose-
63 - 2024-12-05417Thunderbirds-Wranglers-
65 - 2024-12-07435Thunderbirds-Condors-
68 - 2024-12-10455Thunderbirds-Comets-
70 - 2024-12-12465Barracuda-Thunderbirds-
72 - 2024-12-14483Thunderbirds-Stars-
73 - 2024-12-15492Wolf Pack-Thunderbirds-
75 - 2024-12-17501Devils-Thunderbirds-
77 - 2024-12-19512Thunderbirds-Crunch-
78 - 2024-12-20523Thunderbirds-Checkers-
81 - 2024-12-23548Thunderbirds-Griffins-
85 - 2024-12-27562Admirals-Thunderbirds-
87 - 2024-12-29582Americans-Thunderbirds-
89 - 2024-12-31592Thunderbirds-IceHogs-
92 - 2025-01-03617Senators-Thunderbirds-
93 - 2025-01-04625Thunderbirds-Monsters-
96 - 2025-01-07646Thunderbirds-Wild-
98 - 2025-01-09661Gulls-Thunderbirds-
100 - 2025-01-11677Monsters-Thunderbirds-
103 - 2025-01-14700Wranglers-Thunderbirds-
105 - 2025-01-16713Wranglers-Thunderbirds-
107 - 2025-01-18734Thunderbirds-Roadrunners-
109 - 2025-01-20743Thunderbirds-Silver Knights-
112 - 2025-01-23765Silver Knights-Thunderbirds-
114 - 2025-01-25783Stars-Thunderbirds-
116 - 2025-01-27796Comets-Thunderbirds-
120 - 2025-01-31824Thunderbirds-Eagles-
122 - 2025-02-02841Thunderbirds-Roadrunners-
124 - 2025-02-04851Condors-Thunderbirds-
126 - 2025-02-06866Checkers-Thunderbirds-
128 - 2025-02-08883IceHogs-Thunderbirds-
142 - 2025-02-22903Moose-Thunderbirds-
143 - 2025-02-23910Eagles-Thunderbirds-
145 - 2025-02-25926Firebirds-Thunderbirds-
147 - 2025-02-27939Thunderbirds-Bears-
149 - 2025-03-01957Reign-Thunderbirds-
150 - 2025-03-02964Thunderbirds-Stars-
153 - 2025-03-05987Thunderbirds-Reign-
155 - 2025-03-071002Thunderbirds-Gulls-
156 - 2025-03-081010Thunderbirds-Reign-
161 - 2025-03-131044Thunderbirds-Penguins-
163 - 2025-03-151063Thunderbirds-Wild-
164 - 2025-03-161068Gulls-Thunderbirds-
166 - 2025-03-181082Thunderbirds-Admirals-
168 - 2025-03-201095Comets-Thunderbirds-
170 - 2025-03-221107IceHogs-Thunderbirds-
171 - 2025-03-231121Admirals-Thunderbirds-
173 - 2025-03-251133Rocket-Thunderbirds-
175 - 2025-03-271147Thunderbirds-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291161Thunderbirds-Eagles-
180 - 2025-04-011187Griffins-Thunderbirds-
182 - 2025-04-031200Penguins-Thunderbirds-
184 - 2025-04-051218Eagles-Thunderbirds-
186 - 2025-04-071231Thunderbirds-Moose-
188 - 2025-04-091248Thunderbirds-Condors-
191 - 2025-04-121275Thunderbirds-Firebirds-
194 - 2025-04-151297Roadrunners-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3018
Assistance23,36911,627
Assistance PCT97.37%96.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 2916 - 97.21% 94,829$1,137,945$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
870,068$ 1,970,000$ 1,970,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 569,154$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-189,658$ 138 15,153$ 2,091,114$




Thunderbirds 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
1Kyle Chipchura6272583085661224031288962213812.07%2981098517.52497512417441530401556.38%51.03316
2Jared Ross75918226344557808220095418589.80%2421109514.6222487012131430261751.62%30.8049
3Chris Porter46918724643392591056725168511.10%212797417.00495310216534716311047.04%101.09512
4Julian Talbot536173233406598856890317929.65%227827615.44263561764261726651.58%20.981343
5Trent Whitfield390132251383907460679813459.81%178691117.72266894120101626853.90%51.111028

Thunderbirds 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
1Ben Bishop34822272240.9222.591961136288471091844822060.744117
2Mike McKenna22613259130.9192.7312178149554682724651120.80361
3Troy Grosenick1518844130.9142.76879716740446800450.69436
4Peter Budaj1465366140.9013.2376636741241460540.64342
5Ben Bishop74511740.9152.5943782318922341140500.80020

Thunderbirds 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
580581500232355206149402770013217010664403180010018510085126355617972112085144123368601123135911922725974106922672436325.93%1152181.74%11056201352.46%853163552.17%746140253.21%171891417629081619820
680422502245311229824026900131175107684016160211413612214103311513824050841309131870106510931013258189065822912104521.43%1162776.72%4970197649.09%837168549.67%634129349.03%1740956404820331591792
7764019081532742056938208051311359738382011030221391083111027444571913071929827030859968849238578963620431914825.13%1202876.67%4854165851.51%833161351.64%637122152.17%159884014547451556782
87631320333426524520381914011031311121938121802231134133181265432697230571059726770875980798256386969719851844926.63%1102180.91%2991180654.87%858166751.47%590115151.26%157584115187341511753
98041230385031024367402312012201681293940181102630142114281063105058153308012110132800104511981023284194361921952104722.38%1102577.27%21116208953.42%887180349.20%665127352.24%1773101415667351503756
10804216025962992029740219013421581085040217012541419447117299493792250561081243117092411451012269692547420882135726.76%911682.42%61003197550.78%906177651.01%598117251.02%169289715697811631825
118049210216130020199402890002115994654021120214014110734116300494794160741199934180117111811050268186255722022205223.64%1202777.50%11097211351.92%920177251.92%656122353.64%173195515517741557770
12764817023243042021023823702312150945638251000012154108461113045098131407712210132320104511421016264485559221512456225.31%1042873.08%2981199849.10%854170650.06%606121250.00%168595114597191457722
138040190443102972425540198013271551292640211103113142113291082975027994108110110833960118811451040287499328422242225725.68%1092775.23%31039216048.10%880185047.57%578123446.84%1799102915547511523764
148039280217331824969402014010411581253340191401132160124361003185278451108511510934190120011871010277392364422952496927.71%1504570.00%51112218750.85%872182347.83%637125750.68%177799915577631525751
15804120035742902395140211203121142122204020800453148117311112904857753106011210832510102511721019288293442520752126229.25%1102676.36%11065207751.28%890178050.00%588117150.21%171293815857741569781
1676352801255240201393814140114411610793821140011112494308924041765714086717724810810792845245474073116992184420.18%3175183.91%21214249748.62%1266262948.16%602122349.22%177712101853578990483
1780204501266230316-8640102601111108163-5540101900155122153-316223040063031098715425330831873810275378677818692073818.36%3397876.99%41271258349.21%1258278945.11%643134347.88%1787120520356111041496
187666401302159372-213382340100180189-109384300030179183-1041915927943810051575019670640684631297782057815761872814.97%2547570.47%2984221544.42%1062239944.27%610129547.10%15179882073588991456
1876253803334220226-638132002102113111238121801232107115-86922038160136085616822890767730747249870172517041854122.16%3385982.54%21333244654.50%1409270552.09%639118254.06%170311401920581991479
1982145801135165303-138419280012181142-61415300101484161-774216528845342056584718210555641608320099053516771872814.97%2286372.37%1888206143.09%1282314140.82%557127043.86%150696323866531071482
19824127012652332023141221201141130104264119150012410398510323341064315084746825050793876818225770343915982045225.49%2002587.50%11398261153.54%1308250152.30%626125349.96%2011139418916091074541
2082363003643258255341181502213124129-541181501430134126895258470728230105846227000904842915265972379020672604718.08%3196380.25%11441283950.76%1425290549.05%674130551.65%1962134519536091061528
2082353404621238243-541192100100111121-104116130452112712258923843367142080737924310790812803268179174519832896020.76%3215184.11%31348269650.00%1473300449.03%606122449.51%1928130319776191051524
218235340551226325013411816032021341231141171802310129127289263482745210108678228250951922931291586761719482074119.81%2694981.78%21607295754.35%1630302353.92%722130355.41%2024141318815761043530
218239280780031027535411817024001471361141211105400163139241003105598694201191008431100107910051000300084147819142385221.85%2195375.80%11618303953.24%1510298850.54%681134750.56%2039146418955761022514
22823926068212902454541221002511157123344117160431013312211103290528818230991057827570904927900294979256119532486325.40%2454980.00%41494293650.89%1506308248.86%688131852.20%2012140618955831050530
2282224404525263322-594182503212127165-3841141901313136157-2166263469732230109678127950965907889344698161720762144621.50%2607471.54%31142286239.90%1391338241.13%538138338.90%1846128021005961025495
2382284004640295333-3841191603210160150104192401430135183-4878295519814311031048012306310031014101948330596449119122675119.10%2005672.00%41407307245.80%1361322942.15%597138843.01%186213212105586995477
202282195204511320412-924172802211159208-4941122402300161204-4354320571891301338894531509711107103147319294950519742534919.37%2217366.97%11495302649.41%1405288748.67%715153046.73%1911134220015921035500
202382264401713318398-8041152100500157189-3241112301213161209-486631856388110136101793309410361007103827340498062421932495522.09%2657671.32%21424309046.08%1420304846.59%732153347.75%1829125720885981040502
2024257150210070100-301247010003244-121338011003856-1819701231931032211528162802512805955293204603781114.10%922473.91%043586750.17%46297347.48%20042846.73%544365630191326155
Total Saison régulière2103898842079105948571956916279105146541903946424036373427210105243342304059524535583489692332719512414196095677404220424252011757033290248882594921046742902287816073525625890131722.36%5342121077.35%64317836384949.78%307586379548.21%167653393449.40%470692974450318188763285816220
Séries éliminatoires
5241680000086761014104000005343101064000003333032861472330002431299750343339276994343180646672232.84%401172.50%233761354.98%32265549.16%22542153.44%50126822641136468239
62516900000108862212750000041401139400000674621321081822900003333389760319300333902311134695561017.86%30776.67%129458850.00%30360150.42%21745248.01%52928245812281502250
7221390000070673127500000424021064000002827126701171870002523217630243242264660239110618531324.53%27774.07%024548250.83%21346346.00%17133151.66%461240436221463229
973400000252143120000013121422000001293625426700041110288074110992661083316819421.05%11463.64%110620551.71%8617848.31%5810356.31%151871506412564
1016970000054441096300000302287340000024222185482136010142316644020226316761119396423311341.94%22863.64%019541946.54%23542155.82%13224753.44%338182318149313159
11734000001920-1422000001011-131200000990619325100039730101029691226832020623313.04%10280.00%110519154.97%6814945.64%479350.54%153841447013566
1223167000009984151394000006044161073000003940-1329916226111023274210010328333309915279146639411946.34%361363.89%026955548.47%26052849.24%18939747.61%506293473216426209
13624000002227-5321000001714330300000513-84223860000499235084767227177521449333.33%17382.35%06415840.51%8117446.55%5110946.79%125711345610550
147340000023230321000001091413000001314-16234164010895223070807225581411469222.22%19573.68%08315154.97%9319048.95%4310142.57%133671516713668
1516115000005141108620000025196853000002622422518713810010231663801962441736112045443836822.22%21671.43%220242447.64%17835849.72%10322346.19%343182335162333164
16514000001418-42110000096330300000512-721426401005451560444659169423410922418.18%16568.75%07616845.24%8718048.33%418946.07%11679129396731
19514000001217-531200000811-32020000046-22122032000057126029445214944266816425.00%13284.62%07214450.00%5413041.54%346750.75%12083120366331
20624000001621-53120000079-231200000912-341626420006461590494862210574916321523.81%21576.19%07118538.38%10623145.89%359238.04%12986152477838
20514000001217-52020000026-4312000001011-121222340004261470405155196573612015533.33%17664.71%06817339.31%8319442.78%338339.76%11275132396431
21514000001321-820200000610-431200000711-421323360003631340444341194564313021523.81%18572.22%07415248.68%9320545.37%399640.63%11172140426932
22117400000373436420000021156532000001619-31437671040001314836601251151054051127629330516.67%35974.29%021941952.27%20939453.05%11819859.60%2902042537714474
Total Séries éliminatoires19010585000006616174499594000000354311439146450000030730612106611114177533017923322871320229224302230703422861130500646912526.65%3539872.24%72480502749.33%2471505148.92%1536310249.52%412523619920471034991744

Thunderbirds 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
1Kyle Chipchura1053357901432191923838.62%87190018.10622283510157253.52%00.9500
2Julian Talbot96444589201412317940310.92%47169217.63117182311255450.03%11.0500
3Andrei Loktionov52213556-92481172179.68%31101519.5346101000006346.45%01.1000
4Chris Porter6628265452114511823611.86%33119118.0576131600057244.81%10.9100
5Trent Whitfield7621284911710512520710.14%43122416.113581310122154.60%00.8000

Thunderbirds 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
1Ben Bishop54311570.9252.853162211502002505100.0000
2Mike McKenna41211220.9163.2322681911221451704320.0000
3Ben Bishop2515800.9033.4313990080825413000.0000
4Ben Bishop2213620.8973.0112982065630312300.0000
5Dov Grumet-Morris86200.9212.6146015020253144000.0000