Please rotate your device to landscape mode for a better experience.
Connexion

Thunderbirds
GP: 4 | W: 3 | L: 1 | OTL: 0 | P: 6
GF: 20 | GA: 14 | PP%: 25.00% | PK%: 76.47%
DG: Jérémie Paquet | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #82 vs Monsters

Centre de jeu
Thunderbirds
3-1-0, 6pts
8
3 IceHogs
1-3-1, 3pts
Team Stats
L1SéquenceW1
0-1-0Fiche domicile0-1-0
3-0-0Fiche domicile1-2-1
3-1-0Derniers 10 matchs1-3-1
5.00Buts par match 2.60
3.50Buts contre par match 4.20
25.00%Pourcentage en avantage numérique21.43%
76.47%Pourcentage en désavantage numérique86.96%
Barracuda
2-1-1, 5pts
4
2 Thunderbirds
3-1-0, 6pts
Team Stats
W1SéquenceL1
1-0-1Fiche domicile0-1-0
1-1-0Fiche domicile3-0-0
2-1-1Derniers 10 matchs3-1-0
4.75Buts par match 5.00
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique25.00%
71.43%Pourcentage en désavantage numérique76.47%
Monsters
0-3-0, 0pts
2026-10-10
Thunderbirds
3-1-0, 6pts
Statistiques d’équipe
L3SéquenceL1
0-3-0Fiche domicile0-1-0
0-0-0Fiche visiteur3-0-0
0-3-010 derniers matchs3-1-0
0.33Buts par match 5.00
10.67Buts contre par match 5.00
33.33%Pourcentage en avantage numérique25.00%
57.14%Pourcentage en désavantage numérique76.47%
Thunderbirds
3-1-0, 6pts
2026-10-13
Senators
2-1-1, 5pts
Statistiques d’équipe
L1SéquenceL1
0-1-0Fiche domicile0-1-0
3-0-0Fiche visiteur2-0-1
3-1-010 derniers matchs2-1-1
5.00Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique27.78%
76.47%Pourcentage en désavantage numérique66.67%
Thunderbirds
3-1-0, 6pts
2026-10-15
Wild
3-1-0, 6pts
Statistiques d’équipe
L1SéquenceL1
0-1-0Fiche domicile1-0-0
3-0-0Fiche visiteur2-1-0
3-1-010 derniers matchs3-1-0
5.00Buts par match 3.00
3.50Buts contre par match 3.00
25.00%Pourcentage en avantage numérique21.43%
76.47%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Anton FrondellButs
Anton Frondell
5
Igor ChernyshovPasses
Igor Chernyshov
7
Anton FrondellPoints
Anton Frondell
10
Aidan FulpPlus/Moins
Aidan Fulp
6
Clay StevensonVictoires
Clay Stevenson
3
Clay StevensonPourcentage d’arrêts
Clay Stevenson
0.885

Statistiques d’équipe
Buts pour
20
5.00 GFG
Tirs pour
154
38.50 Avg
Pourcentage en avantage numérique
25.0%
3 GF
Début de zone offensive
42.8%
Buts contre
14
3.50 GAA
Tirs contre
122
30.50 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralJérémie Paquet
EntraîneurColin Chaulk
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,628
Billets de saison3,750


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 70
Espoirs52


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
1Nicholas RobertsonXX100.00703395766580887159637064726667040680251925,000$
2Paul CotterXXX100.008443827283799066826065636768690406702721,000,000$
3Alex TurcotteX100.00663790727178846782686166696567040660261925,000$
4Anton Frondell (R)X100.00623590737788637055726766755859040660203925,000$
5Bo GroulxX100.00753980658187826461636774626668040660271925,000$
6Igor Chernyshov (R)X100.00683881667984867065686763716164040660213925,000$
7Tim Washe (R)X100.00764183668683886283606374616665040660261924,000$
8Reid SchaeferXX100.00835471649580786357606668656364040650231925,000$
9Cole O'Hara (R)X100.00684093647279866357606561626466040640251924,000$
10Gracyn Sawchyn (R)X100.00553689626475726168665756596163040610223925,000$
11Yegor SidorovX100.00623887607188845961586057596264040610232925,000$
12Jordan DumaisX100.00633595566373725861595753586264040590232925,000$
13Mathieu Cataford (R)X100.00623887577173705654555358526163040590223925,000$
14Logan MaillouxX100.00754373688685876530646361526365040650241925,000$
15Theo Lindstein (R)X100.00643790647481896330616260526162040630223925,000$
16Samuel BolducX100.00744093629174865830605461486668040630261925,000$
17Aidan FulpX100.00814187539062695430555059456668040600271925,000$
18Noah WarrenX100.00824283539162835230545159456264040590232925,000$
19Etienne Morin (R)X100.00613793557064675330545256456163040580223925,000$
20Quinton Burns (R)X100.00735452568264715430555057456163040580223925,000$
Rayé
1Zack OstapchukXXX100.00805375658976876376605966566365040640241925,000$
2Jared DavidsonX100.00673973606981855861576057626466040610251925,000$
3Tyler BoucherXX100.00695670597879775754565855596365040600241925,000$
4Zach DeanXX100.00613880587071685661595557546365040590241925,000$
5Jarred TinordiX100.00898263579866735530545362457476040620351925,000$
6Ty NelsonX100.00593883636881855930625657486264040610232925,000$
MOYENNE D’ÉQUIPE100.0070438263787780615360596157646504063
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
1Clay Stevenson100.00768581857574767574767567770406702831,111,111$
2Vadim Zherenko100.0075858176747375747375746573040660261925,000$
Rayé
1Colten Ellis100.0079827876787779787779786675040680261925,000$
MOYENNE D’ÉQUIPE100.007784807976757776757776667504067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Colin Chaulk72647264757177CAN492300,000$


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
1Anton FrondellThunderbirds (STL)C455103002171961126.32%28020.2101118000071048.60%10700112.4700000100
2Igor ChernyshovThunderbirds (STL)LW437104801282181214.29%07418.7002228000111050.00%600002.6700000011
3Nicholas RobertsonThunderbirds (STL)LW/RW43251202132261413.64%010025.23101160000130025.00%4800000.9900000011
4Cole O'HaraThunderbirds (STL)RW431430075112727.27%27017.7110128000001020.00%500001.1300000000
5Samuel BolducThunderbirds (STL)D4044560425310%17919.770004600009000%000001.0100000000
6Logan MaillouxThunderbirds (STL)D41340208545125.00%410125.4011218000012000%000000.7900000000
7Reid SchaeferThunderbirds (STL)LW/RW42241205722279.09%17318.4501106000000050.00%800001.0800000000
8Paul CotterThunderbirds (STL)C/LW/RW41341001211651116.67%19223.06000160000150056.04%9100000.8700000100
9Tim WasheThunderbirds (STL)C403324097183130%06416.0200000000000037.50%1600000.9400000001
10Bo GroulxThunderbirds (STL)C42022208121541213.33%26315.9700000000060053.33%6000000.6300000100
11Alex TurcotteThunderbirds (STL)C4011100012100%061.5100000000110057.14%700003.3100000000
12Aidan FulpThunderbirds (STL)D4011640601230%98120.2900006000010000%000000.2500000000
13Noah WarrenThunderbirds (STL)D4011100601000%25714.390000000000000%000000.3500000000
14Etienne MorinThunderbirds (STL)D4011-100000300%1174.310000000000000%000001.1600000000
15Yegor SidorovThunderbirds (STL)RW4011200234070%05513.9300000000000050.00%400000.3600000000
16Theo LindsteinThunderbirds (STL)D4011200433060%58621.7301108000013000%000000.2300000000
17Jordan DumaisThunderbirds (STL)RW4000000000010%092.380000000000000%00000000000000
18Gracyn SawchynThunderbirds (STL)C4000000000000%000.040000000000000%00000000000000
19Mathieu CatafordThunderbirds (STL)C4000000000000%030.8500000000030050.00%40000000000000
20Quinton BurnsThunderbirds (STL)D4000060720000%55914.990000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne802036563336094961545010612.99%35117914.75369127900021003047.47%35600110.9500000323
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
1Clay StevensonThunderbirds (STL)43100.8853.4624300141220000040000
Statistiques d’équipe totales ou en moyenne43100.8853.462430014122000040000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aidan FulpThunderbirds (STL)D272000-02-29USANo216 Lbs193 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Alex TurcotteThunderbirds (STL)C262001-02-26USANo195 Lbs180 CMNoNoTrade2026-05-18NoNo12024-05-18FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Anton FrondellThunderbirds (STL)C202007-05-07SWEYes198 Lbs185 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Bo GroulxThunderbirds (STL)C272000-02-06CANNo202 Lbs188 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Clay StevensonThunderbirds (STL)G281999-03-03CANNo195 Lbs193 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,111,111$0$0$No1,111,111$1,111,111$-------1,111,111$1,111,111$-------NoNo-------Lien / Lien NHL
Cole O'HaraThunderbirds (STL)RW252002-06-20CANYes189 Lbs183 CMNoNoDraftNoNo12026-05-30FalseFalsePro & Farm924,000$0$0$No---------------------------Lien / Lien NHL
Colten EllisThunderbirds (STL)G262000-10-05CANNo191 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Etienne MorinThunderbirds (STL)D222005-03-09CANYes180 Lbs183 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Gracyn SawchynThunderbirds (STL)C222005-01-19CANYes157 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Igor ChernyshovThunderbirds (STL)LW212005-11-30RUSYes195 Lbs188 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jared DavidsonThunderbirds (STL)C252002-07-07CANNo183 Lbs180 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jarred TinordiThunderbirds (STL)D351992-02-20USANo229 Lbs198 CMNoNoTrade2023-12-18YesYes12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jordan DumaisThunderbirds (STL)RW232004-04-15CANNo173 Lbs173 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Logan MaillouxThunderbirds (STL)D242003-04-15CANNo212 Lbs191 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Mathieu CatafordThunderbirds (STL)C222005-03-01CANYes191 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Nicholas RobertsonThunderbirds (STL)LW/RW252001-09-11USANo180 Lbs175 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Noah WarrenThunderbirds (STL)D232004-07-15CANNo224 Lbs193 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Paul CotterThunderbirds (STL)C/LW/RW271999-11-16USANo213 Lbs188 CMNoNoFree AgentNoNo22025-07-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Quinton BurnsThunderbirds (STL)D222005-04-14CANYes206 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Reid SchaeferThunderbirds (STL)LW/RW232003-09-21CANNo226 Lbs196 CMNoNoAssign ManuallyNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Samuel BolducThunderbirds (STL)D262000-12-09CANNo224 Lbs193 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Theo LindsteinThunderbirds (STL)D222005-01-05SWEYes197 Lbs183 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Tim WasheThunderbirds (STL)C262001-08-25USAYes212 Lbs191 CMNoNoDraftNoNo12026-05-30FalseFalsePro & Farm924,000$0$0$No---------------------------Lien / Lien NHL
Ty NelsonThunderbirds (STL)D232004-03-30CANNo195 Lbs175 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Tyler BoucherThunderbirds (STL)LW/RW242003-01-16USANo205 Lbs185 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Vadim ZherenkoThunderbirds (STL)G262001-03-15RUSNo176 Lbs188 CMNoNoTrade2025-09-02NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Yegor SidorovThunderbirds (STL)RW232004-06-18BLRNo184 Lbs183 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Zach DeanThunderbirds (STL)C/RW242003-01-04CANNo176 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Zack OstapchukThunderbirds (STL)C/LW/RW242003-05-29CANNo212 Lbs193 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.52198 Lbs185 CM1.72933,935$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonPaul CotterReid Schaefer40122
2Igor ChernyshovAnton FrondellCole O'Hara30122
3Tim WasheBo GroulxYegor Sidorov20122
4Nicholas RobertsonTim WasheJordan Dumais10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxTheo Lindstein40122
2Samuel BolducAidan Fulp30122
3Noah WarrenQuinton Burns20122
4Etienne MorinLogan Mailloux10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonPaul CotterReid Schaefer60122
2Igor ChernyshovAnton FrondellCole O'Hara40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxTheo Lindstein60122
2Samuel BolducAidan Fulp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas RobertsonPaul Cotter60122
2Anton FrondellBo Groulx40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxTheo Lindstein60122
2Samuel BolducAidan Fulp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicholas Robertson60122Logan MaillouxTheo Lindstein60122
2Paul Cotter40122Samuel BolducAidan Fulp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas RobertsonPaul Cotter60122
2Anton FrondellBo Groulx40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxTheo Lindstein60122
2Samuel BolducAidan Fulp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonPaul CotterReid SchaeferLogan MaillouxTheo Lindstein
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonPaul CotterReid SchaeferLogan MaillouxTheo Lindstein
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Turcotte, Gracyn Sawchyn, Mathieu CatafordAlex Turcotte, Gracyn SawchynMathieu Cataford
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Warren, Quinton Burns, Etienne MorinNoah WarrenQuinton Burns, Etienne Morin
Tirs de pénalité
Nicholas Robertson, Paul Cotter, Anton Frondell, Bo Groulx, Igor Chernyshov
Gardien
#1 : Clay Stevenson, #2 : Vadim Zherenko


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
1Barracuda1010000024-21010000024-20000000000000.0002350069414048604152771219100.00%5180.00%08014953.69%5613441.79%336550.77%986794285026
2Eagles10001000431000000000001000100043121.0004812006941424860415249222300.00%10100.00%08014953.69%5613441.79%336550.77%986794285026
3IceHogs11000000835000000000001100000083521.00081422006941404860415441312324250.00%6183.33%08014953.69%5613441.79%336550.77%986794285026
4Stars11000000642000000000001100000064221.0006111700694132486041527610214125.00%5260.00%08014953.69%5613441.79%336550.77%986794285026
Total42101000201461010000024-2320010001810860.750203656006941154486041512235369412325.00%17476.47%08014953.69%5613441.79%336550.77%986794285026
_Since Last GM Reset42101000201461010000024-2320010001810860.750203656006941154486041512235369412325.00%17476.47%08014953.69%5613441.79%336550.77%986794285026
_Vs Conference42101000201461010000024-2320010001810860.750203656006941154486041512235369412325.00%17476.47%08014953.69%5613441.79%336550.77%986794285026
_Vs Division320010001810800000000000320010001810861.00018335100694111448604159528247511327.27%12375.00%08014953.69%5613441.79%336550.77%986794285026

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
46L120365615412235369400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42110002014
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32010001810
Derniers 10 matchs
WLOTWOTL SOWSOL
310000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12325.00%17476.47%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
48604156941
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
8014953.69%5613441.79%336550.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
986794285026


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 - 2026-10-0217Thunderbirds6Stars4WSommaire du match
5 - 2026-10-0325Thunderbirds4Eagles3WXSommaire du match
8 - 2026-10-0644Thunderbirds8IceHogs3WSommaire du match
10 - 2026-10-0864Barracuda4Thunderbirds2LSommaire du match
12 - 2026-10-1082Monsters-Thunderbirds-
15 - 2026-10-1399Thunderbirds-Senators-
17 - 2026-10-15116Thunderbirds-Wild-
19 - 2026-10-17128Thunderbirds-Admirals-
22 - 2026-10-20141Moose-Thunderbirds-
24 - 2026-10-22165Silver Knights-Thunderbirds-
26 - 2026-10-24175Wolves-Thunderbirds-
29 - 2026-10-27188Rocket-Thunderbirds-
31 - 2026-10-29213Bruins-Thunderbirds-
33 - 2026-10-31221Thunderbirds-Griffins-
36 - 2026-11-03243Thunderbirds-Wolf Pack-
38 - 2026-11-05256Thunderbirds-Comets-
40 - 2026-11-07270Thunderbirds-Admirals-
43 - 2026-11-10290Griffins-Thunderbirds-
45 - 2026-11-12300Thunderbirds-Roadrunners-
47 - 2026-11-14324Checkers-Thunderbirds-
50 - 2026-11-17333Gulls-Thunderbirds-
52 - 2026-11-19354Thunderbirds-Penguins-
53 - 2026-11-20368Comets-Thunderbirds-
54 - 2026-11-21374Condors-Thunderbirds-
57 - 2026-11-24392Thunderbirds-Sound Tigers-
58 - 2026-11-25405Stars-Thunderbirds-
59 - 2026-11-26422Bears-Thunderbirds-
63 - 2026-11-30447Penguins-Thunderbirds-
65 - 2026-12-02462IceHogs-Thunderbirds-
67 - 2026-12-04477Admirals-Thunderbirds-
69 - 2026-12-06486Eagles-Thunderbirds-
71 - 2026-12-08507Thunderbirds-Roadrunners-
73 - 2026-12-10524Thunderbirds-Stars-
74 - 2026-12-11530Crunch-Thunderbirds-
76 - 2026-12-13541Moose-Thunderbirds-
78 - 2026-12-15554Thunderbirds-Bruins-
80 - 2026-12-17570Thunderbirds-Bears-
82 - 2026-12-19585Thunderbirds-Checkers-
83 - 2026-12-20590Thunderbirds-Crunch-
85 - 2026-12-22616Wolf Pack-Thunderbirds-
87 - 2026-12-24634Thunderbirds-Eagles-
89 - 2026-12-26645Thunderbirds-Silver Knights-
91 - 2026-12-28668Thunderbirds-Wild-
92 - 2026-12-29671Heat-Thunderbirds-
94 - 2026-12-31687Thunderbirds-Wolves-
97 - 2027-01-03704Senators-Thunderbirds-
102 - 2027-01-08738Thunderbirds-Reign-
103 - 2027-01-09752Thunderbirds-Gulls-
105 - 2027-01-11759Wild-Thunderbirds-
107 - 2027-01-13781Thunderbirds-Marlies-
110 - 2027-01-16802Thunderbirds-Rocket-
112 - 2027-01-18815Marlies-Thunderbirds-
115 - 2027-01-21844IceHogs-Thunderbirds-
117 - 2027-01-23854Eagles-Thunderbirds-
119 - 2027-01-25877Canucks-Thunderbirds-
125 - 2027-01-31899Reign-Thunderbirds-
128 - 2027-02-03908Thunderbirds-Condors-
129 - 2027-02-04923Thunderbirds-Firebirds-
131 - 2027-02-06934Phantoms-Thunderbirds-
133 - 2027-02-08949Thunderbirds-IceHogs-
135 - 2027-02-10965Thunderbirds-Moose-
137 - 2027-02-12979Roadrunners-Thunderbirds-
141 - 2027-02-161004Canucks-Thunderbirds-
143 - 2027-02-181021Wild-Thunderbirds-
144 - 2027-02-191032Stars-Thunderbirds-
148 - 2027-02-231059Thunderbirds-Americans-
151 - 2027-02-261088Thunderbirds-Phantoms-
153 - 2027-02-281098Admirals-Thunderbirds-
155 - 2027-03-021109Barracuda-Thunderbirds-
157 - 2027-03-041122Gulls-Thunderbirds-
159 - 2027-03-061141Thunderbirds-Firebirds-
162 - 2027-03-091168Thunderbirds-Condors-
164 - 2027-03-111176Thunderbirds-Canucks-
165 - 2027-03-121188Thunderbirds-Heat-
167 - 2027-03-141202Thunderbirds-Moose-
169 - 2027-03-161213Sound Tigers-Thunderbirds-
171 - 2027-03-181229Thunderbirds-Monsters-
172 - 2027-03-191242Americans-Thunderbirds-
176 - 2027-03-231267Heat-Thunderbirds-
178 - 2027-03-251285Thunderbirds-Reign-
179 - 2027-03-261293Thunderbirds-Barracuda-
181 - 2027-03-281305Thunderbirds-Silver Knights-
183 - 2027-03-301320Firebirds-Thunderbirds-
185 - 2027-04-011342Roadrunners-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance2,7781,850
Assistance PCT92.60%92.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 4628 - 92.56% 141,912$141,912$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
178,882$ 2,708,411$ 2,708,411$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 161,040$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,676,480$ 174 16,262$ 2,829,588$




Thunderbirds Leaders statistiques des joueurs (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

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

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

Thunderbirds Leaders statistiques des joueurs (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

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