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Thunderbirds
GP: 29 | W: 16 | L: 12 | OTL: 1 | P: 33
GF: 98 | GA: 99 | PP%: 17.44% | PK%: 72.32%
DG: Richard Chaput | Morale : 57 | Moyenne d’équipe : 65
Prochains matchs #469 vs Silver Knights

Centre de jeu
StarsF
17-11-2, 36pts
2
3 Thunderbirds
16-12-1, 33pts
Team Stats
W2SéquenceSOW1
8-7-0Fiche domicile8-6-1
9-4-2Fiche domicile8-6-0
5-4-1Derniers 10 matchs6-4-0
3.63Buts par match 3.38
2.77Buts contre par match 3.41
26.83%Pourcentage en avantage numérique17.44%
81.72%Pourcentage en désavantage numérique72.32%
Monsters
14-8-5, 33pts
3
4 Thunderbirds
16-12-1, 33pts
Team Stats
W1SéquenceSOW1
9-4-3Fiche domicile8-6-1
5-4-2Fiche domicile8-6-0
4-4-2Derniers 10 matchs6-4-0
3.56Buts par match 3.38
3.48Buts contre par match 3.41
29.89%Pourcentage en avantage numérique17.44%
78.89%Pourcentage en désavantage numérique72.32%
Thunderbirds
16-12-1, 33pts
2025-10-29
Silver Knights
13-11-4, 30pts
Statistiques d’équipe
SOW1SéquenceL3
8-6-1Fiche domicile8-4-2
8-6-0Fiche visiteur5-7-2
6-4-010 derniers matchs5-4-1
3.38Buts par match 3.68
3.41Buts contre par match 3.68
17.44%Pourcentage en avantage numérique29.29%
72.32%Pourcentage en désavantage numérique74.19%
Islanders
17-11-3, 37pts
2025-10-31
Thunderbirds
16-12-1, 33pts
Statistiques d’équipe
W1SéquenceSOW1
11-2-2Fiche domicile8-6-1
6-9-1Fiche visiteur8-6-0
6-3-110 derniers matchs6-4-0
3.52Buts par match 3.38
3.29Buts contre par match 3.38
17.44%Pourcentage en avantage numérique17.44%
83.16%Pourcentage en désavantage numérique72.32%
Thunderbirds
16-12-1, 33pts
2025-11-02
Griffins
18-8-5, 41pts
Statistiques d’équipe
SOW1SéquenceSOL1
8-6-1Fiche domicile10-2-1
8-6-0Fiche visiteur8-6-4
6-4-010 derniers matchs5-2-3
3.38Buts par match 3.26
3.41Buts contre par match 3.26
17.44%Pourcentage en avantage numérique20.88%
72.32%Pourcentage en désavantage numérique72.37%
Meneurs d'équipe
Buts
Austin Watson
15
Passes
Jonny Brodzinski
18
Points
Jonny Brodzinski
28
Plus/Moins
Austin Watson
13
Victoires
Scott Wedgewood
8
Pourcentage d’arrêts
Jack Campbell
0.887

Statistiques d’équipe
Buts pour
98
3.38 GFG
Tirs pour
903
31.14 Avg
Pourcentage en avantage numérique
17.4%
15 GF
Début de zone offensive
40.7%
Buts contre
99
3.41 GAA
Tirs contre
856
29.52 Avg
Pourcentage en désavantage numérique
72.3%%
31 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralRichard Chaput
EntraîneurDenis Savard
DivisionDivision Centrale
ConférenceConference 2
CapitaineJack Rathbone
Assistant #1Austin Watson
Assistant #2Teddy Blueger


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite Contrat52 / 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 Watson (A)0XX100.0079767372777488736069717367836138676703412,425,000$
2John Hayden0XXX100.0078468673766979737568687464735338646703122,225,000$
3Alex Kerfoot0XXX100.0058459572697788706970687164837550646703212,475,000$
4Brandon Tanev0XX100.0081608677717583715567667364856826616703432,000,000$
5Jonny Brodzinski0XXX100.0062459672737981737572757171685330646703322,725,000$
6Tyler Pitlick0XX100.0078458674737577716065687266796126646603431,500,000$
7Brendan Lemieux0XX100.0078677972747483716869687266735742646603031,500,000$
8Teddy Blueger (A)0X100.0059469470687694727472717469735546646603212,500,000$
9Grigori Denisenko0XX100.007350797370797972637469676557496264650261750,000$
10Benoit-Olivier Groulx0XXX100.007245878171748369726362755558476256650261900,000$
11Jacob De La Rose0XXX100.0065459571747678716366697369705038546503121,725,000$
12Zakhar Bardakov (R)0XXX100.006745907970688472707165715950456061640251900,000$
13Nick Blankenburg (R)0X100.006745917566768574457471746565454064670281900,000$
14Jack Rathbone (C)0X100.0065459270667878754573747460595158646702711,200,000$
15Jake Bean0X100.0065459072698488704572707360695554646702811,200,000$
16Logan Stanley0X100.0076468172747490734574617856684754616702811,200,000$
17Dillon Fournier0X100.0065489071747072744571707365695634646603221,725,000$
18Samuel Bolduc (R)0X100.007549836974707069456968736548497064650253750,000$
Rayé
1Daniel Audette0X100.0073457772668279687771686260715950216503021,500,000$
2Peter Holland0X100.0059459670737268696666667064665538216403511,300,000$
3Marcus Sorensen0XX100.0058459773677079696765687163665338216403411,300,000$
4Kole Lind0XX100.006445907270677665696966626259505424630281700,000$
5Tom Kuhnhackl53XXX100.0069498569716874696368696966655542216303411,525,000$
6Matt Puempel0XX100.0058459870727168686365696968645046216313311,375,000$
7Sergey Kalinin99XXX100.0060459570736879696265666964594738216203511,150,000$
8Matvey Guskov (R)0X100.006949717170696968716965686349497021620253750,000$
9Jan Kostalek0X100.0077598372707270714568707168645038216603131,500,000$
10Mark Friedman0X100.0064459071697675704570677365584742216503031,300,000$
11Ryan Murphy0X100.0054449871687273694569657162815342216503311,400,000$
12Eric Gelinas0X100.0059459670756966704566657063635026216403521,325,000$
13Alexei Marchenko0X100.0060429570737178674567586958705342216403411,525,000$
MOYENNE D’ÉQUIPE100.00674889727173797059696871646753454565
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 Campbell0100.007881808079778278798275727538516703412,525,000$
2Scott Wedgewood0100.007785837878768480818487696930616703422,525,000$
Rayé
1Lukas Parik (R)0100.00726765797272727272727254547036590253750,000$
MOYENNE D’ÉQUIPE100.0076787679767579777779786566464964
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/RW29101828122034783285912.05%147816.512571969000000155.52%60700001.1712000050
2Austin WatsonThunderbirds (Stl)LW/RW2915112613335682274215720.27%950717.5143712640000171155.26%3800001.0216100302
3Nick BlankenburgThunderbirds (Stl)D2941620-118030254415339.09%3364322.180112464000083100%000010.6211000100
4Jack RathboneThunderbirds (Stl)D29416204120322736133211.11%3564722.323251967000083000%000000.6200000210
5Teddy BluegerThunderbirds (Stl)C29614206007527514458.00%856119.3815612691017880052.96%74200000.7106000101
6Dillon FournierThunderbirds (Stl)D2931518-218024204515276.67%2054418.78134197100007010%000000.6600000000
7Alex KerfootThunderbirds (Stl)C/LW/RW2910717134083369204614.49%447516.402132069000010047.62%4200000.7100000101
8John HaydenThunderbirds (Stl)C/LW/RW299716-4200354356105316.07%846716.10011150001791150.31%49100000.6900000211
9Jake BeanThunderbirds (Stl)D2911415422035164213192.38%3757119.691342171000025000%000000.5300000010
10Jacob De La RoseThunderbirds (Stl)C/LW/RW298715660162062204412.90%145915.841231467000005036.59%4100000.6515000103
11Logan StanleyThunderbirds (Stl)D29112138260382223694.35%3555619.19000210011177000%000000.4700000010
12Grigori DenisenkoThunderbirds (Stl)LW/RW293811-610027195217405.77%443314.950331069000000052.94%3400000.5100000011
13Brendan LemieuxThunderbirds (Stl)LW/RW295611616057225315519.43%440113.8500007000002055.00%2000000.5513000002
14Tyler PitlickThunderbirds (Stl)LW/RW293710-414022285414335.56%336612.6500000000000155.17%2900000.5535000010
15Samuel BolducThunderbirds (Stl)D29279814038171871011.11%3054918.9400000000084100%000000.3300000001
16Benoit-Olivier GroulxThunderbirds (Stl)C/LW/RW25246-4401431279187.41%828011.23000000001770148.00%35000000.4300000100
17Brandon TanevThunderbirds (Stl)LW/RW29336-415527155210375.77%333911.71000000113850040.00%2000000.3500010010
18Zakhar BardakovThunderbirds (Stl)C/LW/RW27213-32010122712317.41%22338.6600000000020054.17%2400000.2600000000
19Dylan GambrellBluesC421300037112818.18%16215.6200034000090067.21%6100000.9600000010
20Kole LindThunderbirds (Stl)LW/RW2011000200110%02010.3200000000000033.33%300000.9700000000
Statistiques d’équipe totales ou en moyenne52293175268522361049647890326265310.30%246860216.481529441767131231372511652.32%250200010.62828110121312
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
1Jack CampbellThunderbirds (Stl)158300.8873.7071360443900000.846131316001
2Scott WedgewoodThunderbirds (Stl)208910.8843.07105500544660000.867151613000
Statistiques d’équipe totales ou en moyenne35161210.8863.3217696098856000282929001


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/RW281998-10-16CANNo193 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
3430.76197 Lbs6 ft11.681,501,471$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin WatsonJonny BrodzinskiAlex Kerfoot30014
2Jacob De La RoseTeddy BluegerBrendan Lemieux30023
3Tyler PitlickJohn HaydenGrigori Denisenko27023
4Brandon TanevBenoit-Olivier GroulxZakhar Bardakov13041
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 BrodzinskiGrigori Denisenko50005
2Jacob De La RoseTeddy BluegerAlex Kerfoot50014
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 GroulxJohn Hayden, 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
TotalDomicile Visiteur
# 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 RI
1Admirals413000001014-4211000007702020000037-420.2501017270040262691372752633484510024306911218.18%15380.00%0546100254.49%53598654.26%22847148.41%701481683219386191
2Barracuda201000108801010000056-11000001032120.50081321004026269582752633484558192335600.00%9277.78%0546100254.49%53598654.26%22847148.41%701481683219386191
3Canucks211000006601010000014-31100000052320.50061218004026269652752633484547126417114.29%3233.33%0546100254.49%53598654.26%22847148.41%701481683219386191
4Condors2010001078-11010000035-21000001043120.500712190040262695227526334845832232376350.00%16475.00%0546100254.49%53598654.26%22847148.41%701481683219386191
5Eagles1010000014-3000000000001010000014-300.000123004026269252752633484529111815400.00%9455.56%0546100254.49%53598654.26%22847148.41%701481683219386191
6Griffins2010001089-1100000106511010000024-220.50081321004026269652752633484558141247800.00%6350.00%0546100254.49%53598654.26%22847148.41%701481683219386191
7Gulls21000010844100000103211100000052341.00081220004026269742752633484556171435300.00%7185.71%1546100254.49%53598654.26%22847148.41%701481683219386191
8Icehogs2110000078-12110000078-10000000000020.500714210040262695627526334845531017236233.33%5180.00%0546100254.49%53598654.26%22847148.41%701481683219386191
9Iowa Wild10001000211100010002110000000000021.0002460040262692627526334845216416100.00%20100.00%0546100254.49%53598654.26%22847148.41%701481683219386191
10Monsters30200010811-3201000106601010000025-320.3338142200402626999275263348458745345111218.18%17664.71%0546100254.49%53598654.26%22847148.41%701481683219386191
11PenguinsF1000000145-11000000145-10000000000010.5004711004026269302752633484537101018200.00%5180.00%0546100254.49%53598654.26%22847148.41%701481683219386191
12Reign220000001284110000007431100000054141.000122335004026269552752633484564818337228.57%8275.00%0546100254.49%53598654.26%22847148.41%701481683219386191
13Roadrunners21100000550000000000002110000055020.50051015004026269552752633484557191027400.00%5180.00%0546100254.49%53598654.26%22847148.41%701481683219386191
14Rocket11000000532000000000001100000053221.0005101500402626936275263348453154144125.00%110.00%0546100254.49%53598654.26%22847148.41%701481683219386191
15StarsF11000000321110000003210000000000021.000358004026269322752633484532124163133.33%20100.00%0546100254.49%53598654.26%22847148.41%701481683219386191
16Wranglers11000000431000000000001100000043121.0004711004026269382752633484543126193133.33%20100.00%0546100254.49%53598654.26%22847148.41%701481683219386191
Total291012010519899-11546010315455-114660002044440330.5699817527300402626990327526334845856246242496861517.44%1123172.32%1546100254.49%53598654.26%22847148.41%701481683219386191
_Since Last GM Reset291012010519899-11546010315455-114660002044440330.5699817527300402626990327526334845856246242496861517.44%1123172.32%1546100254.49%53598654.26%22847148.41%701481683219386191
_Vs Conference27912010508991-2144601030505001356000203941-2300.5568915824700402626983727526334845788231228464801417.50%1062972.64%1546100254.49%53598654.26%22847148.41%701481683219386191
_Vs Division1127000202834-6623000201918150400000916-780.36428528000402626933127526334845292828316629517.24%38976.32%0546100254.49%53598654.26%22847148.41%701481683219386191

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2933SOW19817527390385624624249600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
29101210519899
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
154610315455
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
146600204444
Derniers 10 matchs
WLOTWOTL SOWSOL
440020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
861517.44%1123172.32%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
275263348454026269
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
546100254.49%53598654.26%22847148.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
701481683219386191


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 - 2025-08-2810Thunderbirds2Griffins4LSommaire du match
2 - 2025-08-2918Griffins5Thunderbirds6WXXSommaire du match
4 - 2025-08-3132Iowa Wild1Thunderbirds2WXSommaire du match
6 - 2025-09-0246PenguinsF5Thunderbirds4LXXSommaire du match
8 - 2025-09-0467Thunderbirds5Gulls2WSommaire du match
9 - 2025-09-0579Thunderbirds2Monsters5LSommaire du match
12 - 2025-09-08101Condors5Thunderbirds3LSommaire du match
14 - 2025-09-10116Thunderbirds5Reign4WSommaire du match
16 - 2025-09-12129Gulls2Thunderbirds3WXXSommaire du match
18 - 2025-09-14140Thunderbirds1Roadrunners3LSommaire du match
20 - 2025-09-16158Thunderbirds4Roadrunners2WSommaire du match
22 - 2025-09-18170Thunderbirds3Barracuda2WXXSommaire du match
23 - 2025-09-19176Canucks4Thunderbirds1LSommaire du match
26 - 2025-09-22199Thunderbirds4Wranglers3WSommaire du match
27 - 2025-09-23208Monsters3Thunderbirds2LSommaire du match
30 - 2025-09-26230Thunderbirds1Eagles4LSommaire du match
31 - 2025-09-27238Icehogs3Thunderbirds4WSommaire du match
34 - 2025-09-30260Thunderbirds1Admirals3LSommaire du match
36 - 2025-10-02270Admirals3Thunderbirds6WSommaire du match
39 - 2025-10-05296Icehogs5Thunderbirds3LSommaire du match
43 - 2025-10-09322Admirals4Thunderbirds1LSommaire du match
45 - 2025-10-11331Thunderbirds2Admirals4LSommaire du match
47 - 2025-10-13349Thunderbirds4Condors3WXXSommaire du match
49 - 2025-10-15361Thunderbirds5Rocket3WSommaire du match
50 - 2025-10-16368Barracuda6Thunderbirds5LSommaire du match
53 - 2025-10-19394Thunderbirds5Canucks2WSommaire du match
54 - 2025-10-20397Reign4Thunderbirds7WSommaire du match
57 - 2025-10-23421StarsF2Thunderbirds3WSommaire du match
61 - 2025-10-27452Monsters3Thunderbirds4WXXSommaire du match
63 - 2025-10-29469Thunderbirds-Silver Knights-
65 - 2025-10-31483Islanders-Thunderbirds-
67 - 2025-11-02496Thunderbirds-Griffins-
69 - 2025-11-04513Eagles-Thunderbirds-
71 - 2025-11-06531Thunderbirds-Monsters-
73 - 2025-11-08543Silver Knights-Thunderbirds-
75 - 2025-11-10558Thunderbirds-Moose-
77 - 2025-11-12578Barracuda-Thunderbirds-
79 - 2025-11-14590Thunderbirds-StarsF-
81 - 2025-11-16608Thunderbirds-Comets-
82 - 2025-11-17615Wolf Pack-Thunderbirds-
85 - 2025-11-20632Thunderbirds-PenguinsF-
87 - 2025-11-22648SenatorsF-Thunderbirds-
89 - 2025-11-24661Thunderbirds-Eagles-
91 - 2025-11-26677PenguinsF-Thunderbirds-
93 - 2025-11-28690Thunderbirds-Silver Knights-
95 - 2025-11-30709Thunderbirds-Comets-
97 - 2025-12-02717Canucks-Thunderbirds-
100 - 2025-12-05739Thunderbirds-Wranglers-
101 - 2025-12-06748Roadrunners-Thunderbirds-
104 - 2025-12-09770Thunderbirds-Barracuda-
106 - 2025-12-11780Crunch-Thunderbirds-
108 - 2025-12-13800Thunderbirds-Canucks-
110 - 2025-12-15811Silver Knights-Thunderbirds-
112 - 2025-12-17830Thunderbirds-Bears-
114 - 2025-12-19840Thunderbirds-Gulls-
115 - 2025-12-20849Eagles-Thunderbirds-
118 - 2025-12-23873Reign-Thunderbirds-
120 - 2025-12-25885Thunderbirds-Checkers-
122 - 2025-12-27901Thunderbirds-BruinsF-
123 - 2025-12-28911Wolves-Thunderbirds-
127 - 2026-01-01938Iowa Wild-Thunderbirds-
129 - 2026-01-03955Thunderbirds-Roadrunners-
131 - 2026-01-05968Thunderbirds-StarsF-
132 - 2026-01-06976PenguinsF-Thunderbirds-
135 - 2026-01-09995Thunderbirds-Condors-
136 - 2026-01-101008Wranglers-Thunderbirds-
140 - 2026-01-141036StarsF-Thunderbirds-
142 - 2026-01-161047Thunderbirds-Reign-
144 - 2026-01-181065Thunderbirds-Griffins-
145 - 2026-01-191072Gulls-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-221094Thunderbirds-Icehogs-
149 - 2026-01-231102Americans-Thunderbirds-
154 - 2026-01-281137Wranglers-Thunderbirds-
157 - 2026-01-311159Firebirds-Thunderbirds-
161 - 2026-02-041187Iowa Wild-Thunderbirds-
163 - 2026-02-061197Thunderbirds-Marlies-
166 - 2026-02-091220Phantoms-Thunderbirds-
170 - 2026-02-131237Thunderbirds-Icehogs-
171 - 2026-02-141251Thunderbirds-Iowa Wild-
173 - 2026-02-161264Roadrunners-Thunderbirds-
176 - 2026-02-191285Condors-Thunderbirds-
177 - 2026-02-201296Thunderbirds-Marlies-
180 - 2026-02-231315Thunderbirds-Iowa Wild-
182 - 2026-02-251329Griffins-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance30,00015,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
27 3000 - 100.00% 124,862$1,872,930$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,758,176$ 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$ 1,724,510$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,371,274$ 122 28,288$ 3,451,136$




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