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Thunderbirds
GP: 10 | W: 5 | L: 4 | OTL: 1 | P: 11
GF: 33 | GA: 36 | PP%: 16.00% | PK%: 70.73%
DG: Richard Chaput | Morale : 51 | Moyenne d’équipe : 65
Prochains matchs #158 vs Roadrunners

Centre de jeu
Gulls
3-5-2, 8pts
2
3 Thunderbirds
5-4-1, 11pts
Team Stats
SOL2SéquenceL1
1-2-1Fiche domicile3-1-1
2-3-1Fiche domicile2-3-0
3-5-2Derniers 10 matchs5-4-1
2.40Buts par match 3.30
3.40Buts contre par match 3.60
17.24%Pourcentage en avantage numérique16.00%
91.30%Pourcentage en désavantage numérique70.73%
Thunderbirds
5-4-1, 11pts
1
3 Roadrunners
8-2-0, 16pts
Team Stats
L1SéquenceW2
3-1-1Fiche domicile3-1-0
2-3-0Fiche domicile5-1-0
5-4-1Derniers 10 matchs8-2-0
3.30Buts par match 3.80
3.60Buts contre par match 2.90
16.00%Pourcentage en avantage numérique29.03%
70.73%Pourcentage en désavantage numérique70.00%
Thunderbirds
5-4-1, 11pts
2025-09-13
Roadrunners
8-2-0, 16pts
Statistiques d’équipe
L1SéquenceW2
3-1-1Fiche domicile3-1-0
2-3-0Fiche visiteur5-1-0
5-4-110 derniers matchs8-2-0
3.30Buts par match 3.80
3.60Buts contre par match 3.80
16.00%Pourcentage en avantage numérique29.03%
70.73%Pourcentage en désavantage numérique70.00%
Thunderbirds
5-4-1, 11pts
2025-09-15
Barracuda
3-6-1, 7pts
Statistiques d’équipe
L1SéquenceL1
3-1-1Fiche domicile1-4-0
2-3-0Fiche visiteur2-2-1
5-4-110 derniers matchs3-6-1
3.30Buts par match 3.10
3.60Buts contre par match 3.10
16.00%Pourcentage en avantage numérique29.41%
70.73%Pourcentage en désavantage numérique74.07%
Canucks
3-6-0, 6pts
2025-09-16
Thunderbirds
5-4-1, 11pts
Statistiques d’équipe
L2SéquenceL1
2-3-0Fiche domicile3-1-1
1-3-0Fiche visiteur2-3-0
3-6-010 derniers matchs5-4-1
2.44Buts par match 3.30
4.00Buts contre par match 3.30
28.00%Pourcentage en avantage numérique16.00%
78.79%Pourcentage en désavantage numérique70.73%
Meneurs d'équipe
Buts
John Hayden
6
Passes
Jonny Brodzinski
7
Points
Jonny Brodzinski
9
Plus/Moins
Jake Bean
5
Victoires
Scott Wedgewood
3
Pourcentage d’arrêts
Scott Wedgewood
0.889

Statistiques d’équipe
Buts pour
33
3.30 GFG
Tirs pour
310
31.00 Avg
Pourcentage en avantage numérique
16.0%
4 GF
Début de zone offensive
42.5%
Buts contre
36
3.60 GAA
Tirs contre
306
30.60 Avg
Pourcentage en désavantage numérique
70.7%%
12 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralRichard Chaput
EntraîneurDenis Savard
DivisionDivision Centrale
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 56
Espoirs30


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
1Austin Watson0XX100.0079767372777488736069717367836138546703412,425,000$
2John Hayden0XXX100.0078468673766979737568687464735338546703122,225,000$
3Alex Kerfoot0XXX100.0058459572697788706970687164837550546703212,475,000$
4Brandon Tanev0XX100.0081608677717583715567667364856826546703432,000,000$
5Jonny Brodzinski0XXX100.0062459672737981737572757171685330546703322,725,000$
6Tyler Pitlick0XX100.0078458674737577716065687266796126546603431,500,000$
7Brendan Lemieux0XX100.0078677972747483716869687266735742546603031,500,000$
8Teddy Blueger0X100.0059469470687694727472717469735546546603212,500,000$
9Grigori Denisenko0XX100.007350797370797972637469676557496254650261750,000$
10Benoit-Olivier Groulx0XXX100.007245878171748369726362755558476245650261900,000$
11Jacob De La Rose0XXX100.0065459571747678716366697369705038446503121,725,000$
12Zakhar Bardakov (R)0XXX100.006745907970688472707165715950456051640251900,000$
13Nick Blankenburg (R)0X100.006745917566768574457471746565454054670281900,000$
14Jack Rathbone0X100.0065459270667878754573747460595158546702711,200,000$
15Jake Bean0X100.0065459072698488704572707360695554546702811,200,000$
16Logan Stanley0X100.0076468172747490734574617856684754516702811,200,000$
17Dillon Fournier0X100.0065489071747072744571707365695634546603221,725,000$
18Samuel Bolduc (R)0X100.007549836974707069456968736548497054650253750,000$
Rayé
1Daniel Audette0X100.0073457772668279687771686260715950406503021,500,000$
2Peter Holland0X100.0059459670737268696666667064665538406403511,300,000$
3Marcus Sorensen0XX100.0058459773677079696765687163665338406403411,300,000$
4Kole Lind0XX100.006445907270677665696966626259505443630271700,000$
5Tom Kuhnhackl53XXX100.0069498569716874696368696966655542406303411,525,000$
6Matt Puempel0XX100.0058459870727168686365696968645046406313311,375,000$
7Sergey Kalinin99XXX100.0060459570736879696265666964594738406203511,150,000$
8Matvey Guskov (R)0X100.006949717170696968716965686349497040620253750,000$
9Jan Kostalek0X100.0077598372707270714568707168645038406603131,500,000$
10Mark Friedman0X100.0064459071697675704570677365584742406503031,300,000$
11Ryan Murphy0X100.0054449871687273694569657162815342406503311,400,000$
12Eric Gelinas0X100.0059459670756966704566657063635026406403521,325,000$
13Alexei Marchenko0X100.0060429570737178674567586958705342406403411,525,000$
MOYENNE D’ÉQUIPE100.00674889727173797059696871646753454765
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
1Jack Campbell0100.007881808079778278798275727538466703412,525,000$
2Scott Wedgewood099.007785837878768480818487696930566703422,525,000$
Rayé
1Lukas Parik (R)0100.00726765797272727272727254547045590253750,000$
MOYENNE D’ÉQUIPE99.6776787679767579777779786566464964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard65986980999933CAN632100,000$


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
1Jonny BrodzinskiThunderbirds (Stl)C/LW/RW102791202143011176.67%116016.01011620000000055.83%20600001.1211000010
2Austin WatsonThunderbirds (Stl)LW/RW104482403272952113.79%217517.54022220000060063.64%1100000.9113000101
3John HaydenThunderbirds (Stl)C/LW/RW1062848013172332126.09%316116.11000000000261058.89%18000000.9900000101
4Jack RathboneThunderbirds (Stl)D103584201341981915.79%1122522.502021119000032000%000000.7100000100
5Jake BeanThunderbirds (Stl)D100665120959680%1419719.7601122200009000%000000.6100000000
6Dillon FournierThunderbirds (Stl)D10246-460139104720.00%418718.7510132100002010%000000.6400000000
7Alex KerfootThunderbirds (Stl)C/LW/RW1033612031123102313.04%116016.01011519000000064.29%1400000.7500000000
8Nick BlankenburgThunderbirds (Stl)D10055-460138177180%1422622.68000918000031000%000000.4400000000
9Jacob De La RoseThunderbirds (Stl)C/LW/RW10325060561741017.65%114214.25011515000001045.00%2000000.7002000100
10Teddy BluegerThunderbirds (Stl)C103250000142771311.11%018918.911124191014310056.84%23400000.5303000001
11Grigori DenisenkoThunderbirds (Stl)LW/RW1013432075136127.69%314314.34011320000000062.50%800000.5600000010
12Brandon TanevThunderbirds (Stl)LW/RW10134-100117193175.26%212912.99000000112320055.56%900000.6200000000
13Logan StanleyThunderbirds (Stl)D1003331001656130%1218918.9700000011024000%000000.3200000000
14Dylan GambrellBluesC421300037112818.18%16215.6200034000090067.21%6100000.9600000010
15Samuel BolducThunderbirds (Stl)D1012336010312238.33%1019019.0400000000027100%000000.3200000001
16Tyler PitlickThunderbirds (Stl)LW/RW1002238068154110%212712.7500000000000044.44%900000.3112000000
17Zakhar BardakovThunderbirds (Stl)C/LW/RW8011-100459770%18010.0400000000010070.00%1000000.2500000000
18Brendan LemieuxThunderbirds (Stl)LW/RW10011040189135170%113613.6600002000000062.50%800000.1501000000
19Kole LindThunderbirds (Stl)LW/RW2011000200110%02010.3200000000000033.33%300000.9700000000
20Benoit-Olivier GroulxThunderbirds (Stl)C/LW/RW6000-240568480%37512.58000000000200045.71%1050000000000000
Statistiques d’équipe totales ou en moyenne1803157881782018515031010024410.00%86298116.5648125320512362583156.38%87800000.59312000434
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
1Scott WedgewoodThunderbirds (Stl)83310.8893.0840900211900000.833664000
2Jack CampbellThunderbirds (Stl)42100.8794.1020500141160000.833646000
Statistiques d’équipe totales ou en moyenne125410.8863.426150035306000121010000


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
Alex KerfootThunderbirds (Stl)C/LW/RW321994-08-11CANNo186 Lbs5 ft11NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm2,475,000$0$0$No---------------------------Lien
Alexei MarchenkoThunderbirds (Stl)D341992-01-02RUSNo205 Lbs6 ft2NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,525,000$0$0$No---------------------------Lien
Austin WatsonThunderbirds (Stl)LW/RW341992-01-13USANo238 Lbs6 ft4NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm2,425,000$0$0$No---------------------------Lien
Benoit-Olivier GroulxThunderbirds (Stl)C/LW/RW262000-02-06CANNo198 Lbs6 ft2NoNoProspectNoNo12024-05-03FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Brandon TanevThunderbirds (Stl)LW/RW341991-12-31CANNo189 Lbs6 ft0NoNoFree Agent2025-02-01NoNo32026-07-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Brendan LemieuxThunderbirds (Stl)LW/RW301996-03-15USANo215 Lbs6 ft1NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Daniel AudetteThunderbirds (Stl)C301996-05-06CANNo165 Lbs5 ft9NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Dillon FournierThunderbirds (Stl)D321994-06-15CANNo205 Lbs6 ft2NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,725,000$0$0$No1,725,000$--------1,725,000$--------No--------Lien
Eric GelinasThunderbirds (Stl)D351991-05-08CANNo216 Lbs6 ft3NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm1,325,000$0$0$No1,325,000$--------1,325,000$--------No--------Lien
Grigori DenisenkoThunderbirds (Stl)LW/RW262000-06-24RUSNo196 Lbs5 ft11NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jack CampbellThunderbirds (Stl)G341992-01-09USANo200 Lbs6 ft3NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm2,525,000$0$0$No---------------------------Lien
Jack RathboneThunderbirds (Stl)D271999-05-20USANo177 Lbs5 ft10NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Jacob De La RoseThunderbirds (Stl)C/LW/RW311995-05-20SWENo209 Lbs6 ft2NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,725,000$0$0$No1,725,000$--------1,725,000$--------No--------Lien
Jake BeanThunderbirds (Stl)D281998-06-09CANNo186 Lbs6 ft1NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Jan KostalekThunderbirds (Stl)D311995-02-17CZENo180 Lbs6 ft0NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
John HaydenThunderbirds (Stl)C/LW/RW311995-02-14USANo223 Lbs6 ft3NoNoFree Agent2024-01-27NoNo22025-07-03FalseFalsePro & Farm2,225,000$0$0$No2,225,000$--------2,225,000$--------No--------Lien
Jonny BrodzinskiThunderbirds (Stl)C/LW/RW331993-06-19USANo211 Lbs6 ft0NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm2,725,000$0$0$No2,725,000$--------2,725,000$--------No--------Lien
Kole LindThunderbirds (Stl)LW/RW271998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo12026-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Logan StanleyThunderbirds (Stl)D281998-05-26CANNo216 Lbs6 ft6NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Lukas ParikThunderbirds (Stl)G252001-03-15CZEYes185 Lbs6 ft4NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Marcus SorensenThunderbirds (Stl)LW/RW341992-04-07SWENo165 Lbs5 ft11NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Mark FriedmanThunderbirds (Stl)D301995-12-25CANNo185 Lbs5 ft11NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Matt PuempelThunderbirds (Stl)LW/RW331993-01-24CANNo201 Lbs6 ft0NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,375,000$0$0$No---------------------------Lien
Matvey GuskovThunderbirds (Stl)C252001-01-30RUSYes191 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nick BlankenburgThunderbirds (Stl)D281998-05-12USAYes177 Lbs5 ft9NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Peter HollandThunderbirds (Stl)C351991-01-14CANNo201 Lbs6 ft2NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Ryan MurphyThunderbirds (Stl)D331993-03-01CANNo175 Lbs5 ft11NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien
Samuel BolducThunderbirds (Stl)D252000-12-09CANYes220 Lbs6 ft4NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Scott WedgewoodThunderbirds (Stl)G341992-08-14CANNo201 Lbs6 ft1NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm2,525,000$0$0$No2,525,000$--------2,525,000$--------No--------Lien
Sergey KalininThunderbirds (Stl)C/LW/RW351991-03-17RUSNo200 Lbs6 ft2NoNoFree AgentNoNo12024-07-26FalseFalsePro & Farm1,150,000$0$0$No---------------------------Lien
Teddy BluegerThunderbirds (Stl)C321994-08-15LATNo185 Lbs6 ft1NoNoN/ANoNo12024-04-29FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Tom KuhnhacklThunderbirds (Stl)C/LW/RW341992-02-21GERNo190 Lbs6 ft1NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,525,000$0$0$No---------------------------Lien
Tyler PitlickThunderbirds (Stl)LW/RW341991-11-01USANo199 Lbs6 ft2NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Zakhar BardakovThunderbirds (Stl)C/LW/RW252001-02-24RUSYes198 Lbs6 ft2NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3430.74197 Lbs6 ft11.681,501,471$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin WatsonJonny BrodzinskiAlex Kerfoot29023
2Jacob De La RoseTeddy BluegerBrendan Lemieux27032
3Tyler PitlickJohn HaydenGrigori Denisenko25131
4Brandon TanevBenoit-Olivier GroulxZakhar Bardakov19032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneJake Bean33023
2Nick BlankenburgDillon Fournier33032
3Logan StanleySamuel Bolduc33131
4Jack RathboneNick Blankenburg1122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin WatsonJonny BrodzinskiAlex Kerfoot50005
2Jacob De La RoseTeddy BluegerGrigori Denisenko50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneNick Blankenburg50014
2Jake BeanDillon Fournier50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxJohn Hayden50041
2Teddy BluegerBrandon Tanev50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneNick Blankenburg50140
2Logan StanleySamuel Bolduc50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Benoit-Olivier Groulx50050Jack RathboneNick Blankenburg50140
2John Hayden50050Logan StanleySamuel Bolduc50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiAustin Watson50122
2Teddy BluegerJacob De La Rose50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneJake Bean50122
2Nick BlankenburgDillon Fournier50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin WatsonJonny BrodzinskiGrigori DenisenkoJack RathboneLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teddy BluegerBenoit-Olivier GroulxBrandon TanevJack RathboneNick Blankenburg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Tanev, John Hayden, Benoit-Olivier GroulxBrendan Lemieux, Tyler PitlickBrandon Tanev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Stanley, Samuel Bolduc, Dillon FournierLogan StanleyJake Bean, Dillon Fournier
Tirs de pénalité
Teddy Blueger, Jacob De La Rose, Austin Watson, Tyler Pitlick, Brendan Lemieux
Gardien
#1 : Scott Wedgewood, #2 : Jack Campbell


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
1Condors1010000035-21010000035-20000000000000.0003690013116430100901082442620173266.67%10370.00%020636256.91%19533059.09%9416058.75%2391632407613667
2Griffins2010001089-1100000106511010000024-220.500813210013116465100901082458141247800.00%6350.00%020636256.91%19533059.09%9416058.75%2391632407613667
3Gulls21000010844100000103211100000052341.000812200013116474100901082456171435300.00%7185.71%120636256.91%19533059.09%9416058.75%2391632407613667
4Iowa Wild10001000211100010002110000000000021.00024600131164261009010824216416100.00%20100.00%020636256.91%19533059.09%9416058.75%2391632407613667
5Monsters1010000025-3000000000001010000025-300.0002460013116432100901082433181423200.00%7357.14%020636256.91%19533059.09%9416058.75%2391632407613667
6PenguinsF1000000145-11000000145-10000000000010.50047110013116430100901082437101018200.00%5180.00%020636256.91%19533059.09%9416058.75%2391632407613667
7Reign11000000541000000000001100000054121.0005914001311642910090108243074155240.00%2150.00%020636256.91%19533059.09%9416058.75%2391632407613667
8Roadrunners1010000013-2000000000001010000013-200.00012300131164241009010824298414100.00%20100.00%020636256.91%19533059.09%9416058.75%2391632407613667
Total1024010213336-35010102118180523000001518-3110.550335790001311643101009010824306868218525416.00%411270.73%120636256.91%19533059.09%9416058.75%2391632407613667
_Since Last GM Reset1024010213336-35010102118180523000001518-3110.550335790001311643101009010824306868218525416.00%411270.73%120636256.91%19533059.09%9416058.75%2391632407613667
_Vs Conference924010202931-24010102014131523000001518-3100.556295079001311642801009010824269767216723417.39%361169.44%120636256.91%19533059.09%9416058.75%2391632407613667
_Vs Division2020001034-1100000102111020000013-220.500369001311645010090108245014830200.00%40100.00%020636256.91%19533059.09%9416058.75%2391632407613667

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011L1335790310306868218500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
102410213336
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
50110211818
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001518
Derniers 10 matchs
WLOTWOTL SOWSOL
241021
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25416.00%411270.73%1
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
1009010824131164
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
20636256.91%19533059.09%9416058.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2391632407613667


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
1 - 2025-08-2510Thunderbirds2Griffins4LSommaire du match
2 - 2025-08-2618Griffins5Thunderbirds6WXXSommaire du match
4 - 2025-08-2832Iowa Wild1Thunderbirds2WXSommaire du match
6 - 2025-08-3046PenguinsF5Thunderbirds4LXXSommaire du match
8 - 2025-09-0167Thunderbirds5Gulls2WSommaire du match
9 - 2025-09-0279Thunderbirds2Monsters5LSommaire du match
12 - 2025-09-05101Condors5Thunderbirds3LSommaire du match
14 - 2025-09-07116Thunderbirds5Reign4WSommaire du match
16 - 2025-09-09129Gulls2Thunderbirds3WXXSommaire du match
18 - 2025-09-11140Thunderbirds1Roadrunners3LSommaire du match
20 - 2025-09-13158Thunderbirds-Roadrunners-
22 - 2025-09-15170Thunderbirds-Barracuda-
23 - 2025-09-16176Canucks-Thunderbirds-
26 - 2025-09-19199Thunderbirds-Wranglers-
27 - 2025-09-20208Monsters-Thunderbirds-
30 - 2025-09-23230Thunderbirds-Eagles-
31 - 2025-09-24238Icehogs-Thunderbirds-
34 - 2025-09-27260Thunderbirds-Admirals-
36 - 2025-09-29270Admirals-Thunderbirds-
39 - 2025-10-02296Icehogs-Thunderbirds-
43 - 2025-10-06322Admirals-Thunderbirds-
45 - 2025-10-08331Thunderbirds-Admirals-
47 - 2025-10-10349Thunderbirds-Condors-
49 - 2025-10-12361Thunderbirds-Rocket-
50 - 2025-10-13368Barracuda-Thunderbirds-
53 - 2025-10-16394Thunderbirds-Canucks-
54 - 2025-10-17397Reign-Thunderbirds-
57 - 2025-10-20421StarsF-Thunderbirds-
61 - 2025-10-24452Monsters-Thunderbirds-
63 - 2025-10-26469Thunderbirds-Silver Knights-
65 - 2025-10-28483Islanders-Thunderbirds-
67 - 2025-10-30496Thunderbirds-Griffins-
69 - 2025-11-01513Eagles-Thunderbirds-
71 - 2025-11-03531Thunderbirds-Monsters-
73 - 2025-11-05543Silver Knights-Thunderbirds-
75 - 2025-11-07558Thunderbirds-Moose-
77 - 2025-11-09578Barracuda-Thunderbirds-
79 - 2025-11-11590Thunderbirds-StarsF-
81 - 2025-11-13608Thunderbirds-Comets-
82 - 2025-11-14615Wolf Pack-Thunderbirds-
85 - 2025-11-17632Thunderbirds-PenguinsF-
87 - 2025-11-19648SenatorsF-Thunderbirds-
89 - 2025-11-21661Thunderbirds-Eagles-
91 - 2025-11-23677PenguinsF-Thunderbirds-
93 - 2025-11-25690Thunderbirds-Silver Knights-
95 - 2025-11-27709Thunderbirds-Comets-
97 - 2025-11-29717Canucks-Thunderbirds-
100 - 2025-12-02739Thunderbirds-Wranglers-
101 - 2025-12-03748Roadrunners-Thunderbirds-
104 - 2025-12-06770Thunderbirds-Barracuda-
106 - 2025-12-08780Crunch-Thunderbirds-
108 - 2025-12-10800Thunderbirds-Canucks-
110 - 2025-12-12811Silver Knights-Thunderbirds-
112 - 2025-12-14830Thunderbirds-Bears-
114 - 2025-12-16840Thunderbirds-Gulls-
115 - 2025-12-17849Eagles-Thunderbirds-
118 - 2025-12-20873Reign-Thunderbirds-
120 - 2025-12-22885Thunderbirds-Checkers-
122 - 2025-12-24901Thunderbirds-BruinsF-
123 - 2025-12-25911Wolves-Thunderbirds-
127 - 2025-12-29938Iowa Wild-Thunderbirds-
129 - 2025-12-31955Thunderbirds-Roadrunners-
131 - 2026-01-02968Thunderbirds-StarsF-
132 - 2026-01-03976PenguinsF-Thunderbirds-
135 - 2026-01-06995Thunderbirds-Condors-
136 - 2026-01-071008Wranglers-Thunderbirds-
140 - 2026-01-111036StarsF-Thunderbirds-
142 - 2026-01-131047Thunderbirds-Reign-
144 - 2026-01-151065Thunderbirds-Griffins-
145 - 2026-01-161072Gulls-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191094Thunderbirds-Icehogs-
149 - 2026-01-201102Americans-Thunderbirds-
154 - 2026-01-251137Wranglers-Thunderbirds-
157 - 2026-01-281159Firebirds-Thunderbirds-
161 - 2026-02-011187Iowa Wild-Thunderbirds-
163 - 2026-02-031197Thunderbirds-Marlies-
166 - 2026-02-061220Phantoms-Thunderbirds-
170 - 2026-02-101237Thunderbirds-Icehogs-
171 - 2026-02-111251Thunderbirds-Iowa Wild-
173 - 2026-02-131264Roadrunners-Thunderbirds-
176 - 2026-02-161285Condors-Thunderbirds-
177 - 2026-02-171296Thunderbirds-Marlies-
180 - 2026-02-201315Thunderbirds-Iowa Wild-
182 - 2026-02-221329Griffins-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3414
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 122,180$610,900$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
513,504$ 5,105,000$ 5,105,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 503,730$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,520,660$ 166 28,288$ 4,695,808$




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