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Thunderbirds
GP: 5 | W: 3 | L: 1 | OTL: 1 | P: 7
GF: 13 | GA: 11 | PP%: 12.90% | PK%: 88.24%
DG: Ian Laporte | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #76 vs Griffins

Centre de jeu
Bruins
0-4-0, 0pts
1
2 Thunderbirds
3-1-1, 7pts
Team Stats
L4SéquenceW3
0-2-0Fiche domicile1-1-1
0-2-0Fiche domicile2-0-0
0-4-0Derniers 10 matchs3-1-1
1.25Buts par match 2.60
3.50Buts contre par match 2.20
5.00%Pourcentage en avantage numérique12.90%
80.00%Pourcentage en désavantage numérique88.24%
Thunderbirds
3-1-1, 7pts
3
1 Bruins
0-4-0, 0pts
Team Stats
W3SéquenceL4
1-1-1Fiche domicile0-2-0
2-0-0Fiche domicile0-2-0
3-1-1Derniers 10 matchs0-4-0
2.60Buts par match 1.25
2.20Buts contre par match 3.50
12.90%Pourcentage en avantage numérique5.00%
88.24%Pourcentage en désavantage numérique80.00%
Griffins
3-1-0, 6pts
2026-10-30
Thunderbirds
3-1-1, 7pts
Statistiques d’équipe
W3SéquenceW3
2-1-0Fiche domicile1-1-1
1-0-0Fiche visiteur2-0-0
3-1-010 derniers matchs3-1-1
4.75Buts par match 2.60
3.00Buts contre par match 2.60
21.05%Pourcentage en avantage numérique12.90%
81.25%Pourcentage en désavantage numérique88.24%
Bears
3-2-0, 6pts
2026-10-31
Thunderbirds
3-1-1, 7pts
Statistiques d’équipe
L1SéquenceW3
3-1-0Fiche domicile1-1-1
0-1-0Fiche visiteur2-0-0
3-2-010 derniers matchs3-1-1
4.80Buts par match 2.60
5.40Buts contre par match 2.60
40.00%Pourcentage en avantage numérique12.90%
69.23%Pourcentage en désavantage numérique88.24%
Thunderbirds
3-1-1, 7pts
2026-11-01
Wolfpack
1-2-1, 3pts
Statistiques d’équipe
W3SéquenceL1
1-1-1Fiche domicile1-1-0
2-0-0Fiche visiteur0-1-1
3-1-110 derniers matchs1-2-1
2.60Buts par match 2.25
2.20Buts contre par match 2.25
12.90%Pourcentage en avantage numérique7.69%
88.24%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Aidan McDonoughButs
Aidan McDonough
3
Albert JohanssonPasses
Albert Johansson
4
Albert JohanssonPoints
Albert Johansson
5
Plus/Moins
Kenny Connors
3
Erik PortilloVictoires
Erik Portillo
3
Erik PortilloPourcentage d’arrêts
Erik Portillo
0.887

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
127
25.40 Avg
Pourcentage en avantage numérique
12.9%
4 GF
Début de zone offensive
42.6%
Buts contre
11
2.20 GAA
Tirs contre
100
20.00 Avg
Pourcentage en désavantage numérique
88.2%%
2 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralIan Laporte
EntraîneurLuke Richardson
DivisionMidOuest
ConférenceConference 2
CapitaineAidan McDonough
Assistant #1Alec Regula
Assistant #2Kenny Connors


Informations de l’aréna

Capacité3,000
Assistance2,845
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite Contrat51 / 250
Espoirs29


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
1Arseny Gritsyuk0X99.006535887073868569566866647165675450660254300,000$
2Trey Fix-Wolansky0X100.005742646665958665626467616668694250650271300,000$
3Aidan McDonough (C)0X99.007241856481887563656167626466694250640262500,000$
4Olle Lycksell0X100.006237906572878164676663616467694250640272300,000$
5Kyle MacLean0X100.007541886875768662806160646367693750640271500,000$
6Joona Koppanen0X100.008143916293808359635857685668704750640281300,000$
7Angus Crookshank0X100.006336886467878659615763586267695150620271300,000$
8Hugh McGing0XX100.006038736463788663596261605968704750620281300,000$
9Kenny Connors (R) (A)0X99.006838866177798559636057625863656150620234300,000$
10C.J. Smith0X100.006038896369826859676554576172742750610312500,000$
11Olivier Nadeau (R)0X100.007241876181737058646255605763656250610234500,000$
12Jordan Spence0X100.0069349272708889713077626553666860506802521,000,000$
13Albert Johansson0X100.006935906673868764306757705165676450670251500,000$
14Logan Mailloux0X100.007543736886858765306463615263657850660232500,000$
15Alec Regula (R) (A)0X100.007544676389826859306356644866686350650264500,000$
16Kyle Capobianco0X100.007041746582817962306859615269715550650292300,000$
17Domenick Fensore0X100.006438826164928459306257654965676150640252500,000$
18Colton White0X100.006940786375778157306952564669715150630291500,000$
Rayé
1John Farinacci0X100.006336956172778459626057585665676350610252300,000$
2Michael Pezzetta0XX100.008378626382707359515355575669704150600281500,000$
3Jon-Randall Avon0X100.006037935969777956605857555663654450590233300,000$
4Joey Willis (R)0X100.006037905769778155605856545761636150580214300,000$
5Keean Washkurak0X100.005842685767698555635456535765674850570253300,000$
6Noah Warren0X100.008242835391628352305451594562647450610223500,000$
7D.J. King0X100.007845605487616453305250574566684250590261300,000$
8Carter Berger0X100.006637915674656353305450554667695150580271300,000$
9Etienne Morin (R)0X100.006137935570646753305452564561637350570214500,000$
MOYENNE D’ÉQUIPE99.89684182627579796049615860556668535062
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
1Erik Portillo0100.00778177967675777675777666756350760262300,000$
2Arno Tiefensee (R)0100.00717874907069717069717064714850710244300,000$
Rayé
1Ivan Prosvetov0100.00707571886968706968706967775150700272300,000$
2Filip Larsson0100.00697772796867696867696870814250690282300,000$
MOYENNE D’ÉQUIPE100.0072787488717072717072716776515072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson70717372857962CAN5772,500,000$


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
1Albert JohanssonThunderbirds (STL)D51452202333933.33%411623.31022230000013000%000000.8600000100
2Aidan McDonoughThunderbirds (STL)LW5325020752031615.00%111322.6601111290000101155.56%1800000.8800000111
3Arseny GritsyukThunderbirds (STL)RW504406019156190%211022.08022729000070030.77%1300000.7201000001
4Kenny ConnorsThunderbirds (STL)C531432028110427.27%010721.562026250000141044.17%12000000.7400000001
5Jordan SpenceThunderbirds (STL)D5134-2002712348.33%411523.0411282600006000%000000.6900000100
6Logan MaillouxThunderbirds (STL)D5033120628540%19218.4301162900001000%000000.6500000001
7Alec RegulaThunderbirds (STL)D5022060824320%29719.5901122500009000%000000.4100000000
8Trey Fix-WolanskyThunderbirds (STL)RW50223003713450%210420.910001270000180030.77%1300000.3801000000
9Kyle MacLeanThunderbirds (STL)C52020409693122.22%29318.73101224000000058.95%9500000.4301000010
10Kyle CapobiancoThunderbirds (STL)D5022240281430%37214.4700000000012000%000000.5500000000
11Joona KoppanenThunderbirds (STL)LW52022408194922.22%07615.36000426000000066.67%600000.5200000000
12C.J. SmithThunderbirds (STL)LW5011000025010%0295.9300003000000040.00%500000.6700000000
13Domenick FensoreThunderbirds (STL)D5011-1100632100%210220.4600000000012000%000000.2000000000
14Olle LycksellThunderbirds (STL)RW5101-1201283612.50%06613.3100000000001085.71%700000.3000000000
15Angus CrookshankThunderbirds (STL)LW5000-100155040%06613.26000000000000100.00%40000000000000
16Hugh McGingThunderbirds (STL)C/LW5000-220462550%37515.0300002000060051.67%600000000000000
17Colton WhiteThunderbirds (STL)D5000000000000%081.670000000002000%00000000000000
18Olivier NadeauThunderbirds (STL)RW5000000210000%0234.7400000000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne9013253864606477127479210.24%26147216.3648124928000001203151.16%34400000.5203000324
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
1Erik PortilloThunderbirds (STL)53110.8871.97274009800000.667350000
2Arno TiefenseeThunderbirds (STL)10000.9502.0729001200000005000
Statistiques d’équipe totales ou en moyenne63110.9001.973040010100000355000


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 McDonoughThunderbirds (STL)LW261999-11-06USANo190 Lbs6 ft3NoNoN/ANoNo22024-06-22FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Albert JohanssonThunderbirds (STL)D252001-01-04SWENo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Alec RegulaThunderbirds (STL)D262000-08-06USAYes211 Lbs6 ft4NoNoDraftNoNo42026-06-15FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$---------------NoNoNo------Lien
Angus CrookshankThunderbirds (STL)LW271999-10-02CANNo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm300,000$0$0$No---------------------------Lien / Lien NHL
Arno TiefenseeThunderbirds (STL)G242002-05-01DEUYes217 Lbs6 ft4NoNoDraftNoNo42026-06-15FalseFalsePro & Farm300,000$0$0$No300,000$300,000$300,000$---------------NoNoNo------Lien
Arseny GritsyukThunderbirds (STL)RW252001-03-15RUSNo195 Lbs6 ft0NoNoTrade2026-06-01NoNo42026-06-02FalseFalsePro & Farm300,000$0$0$No300,000$300,000$300,000$---------------NoNoNo------Lien
C.J. SmithThunderbirds (STL)LW311994-12-01USANo184 Lbs5 ft11NoNoDraftNoNo22025-08-10FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien
Carter BergerThunderbirds (STL)D271999-09-17CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo12026-06-02FalseFalsePro & Farm300,000$0$0$No---------------------------Lien
Colton WhiteThunderbirds (STL)D291997-05-03CANNo187 Lbs6 ft1NoNoN/ANoNo12025-08-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
D.J. KingThunderbirds (STL)D262000-08-07USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12026-06-02FalseFalsePro & Farm300,000$0$0$No---------------------------Lien
Domenick FensoreThunderbirds (STL)D252001-09-07USANo175 Lbs5 ft9NoNoN/ANoNo22024-06-22FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Erik PortilloThunderbirds (STL)G262000-09-03SWENo218 Lbs6 ft6NoNoN/ANoNo22024-06-22FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien / Lien NHL
Etienne MorinThunderbirds (STL)D212005-03-09CANYes180 Lbs6 ft0NoNoDraftNoNo42026-06-15FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$---------------NoNoNo------Lien
Filip LarssonThunderbirds (STL)G281998-08-17SWENo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-08-10FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien
Hugh McGingThunderbirds (STL)C/LW281998-07-11USANo174 Lbs5 ft8NoNoTrade2026-06-29NoNo12025-08-10FalseFalsePro & Farm300,000$0$0$No---------------------------Lien / Lien NHL
Ivan ProsvetovThunderbirds (STL)G271999-03-05RUSNo195 Lbs6 ft5NoNoAssign ManuallyNoNo22026-08-25FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien
Joey WillisThunderbirds (STL)LW212005-03-14USAYes184 Lbs5 ft11NoNoDraftNoNo42026-06-15FalseFalsePro & Farm300,000$0$0$No300,000$300,000$300,000$---------------NoNoNo------Lien
John FarinacciThunderbirds (STL)C252001-02-14USANo197 Lbs5 ft11NoNoN/ANoNo22024-06-22FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien / Lien NHL
Jon-Randall AvonThunderbirds (STL)C232003-07-04CANNo175 Lbs6 ft0NoNoAssign ManuallyNoNo32026-08-25FalseFalsePro & Farm300,000$0$0$No300,000$300,000$----------------NoNo-------Lien / Lien NHL
Joona KoppanenThunderbirds (STL)LW281998-02-25FINNo216 Lbs6 ft5NoNoN/ANoNo12024-08-10FalseFalsePro & Farm300,000$0$0$No---------------------------Lien / Lien NHL
Jordan SpenceThunderbirds (STL)D252001-02-24CANNo188 Lbs5 ft11NoNoN/ANoNo22026-08-25FalseFalsePro & Farm1,000,000$0$0$No1,000,000$-----------------No--------Lien / Lien NHL
Keean WashkurakThunderbirds (STL)C252001-08-16CANNo184 Lbs5 ft10NoNoN/ANoNo32026-08-25FalseFalsePro & Farm300,000$0$0$No300,000$300,000$----------------NoNo-------Lien / Lien NHL
Kenny ConnorsThunderbirds (STL)C232003-03-10USAYes199 Lbs6 ft1NoNoProspectNoNo42026-06-15FalseFalsePro & Farm300,000$0$0$No300,000$300,000$300,000$---------------NoNoNo------Lien
Kyle CapobiancoThunderbirds (STL)D291997-08-13CANNo194 Lbs6 ft3NoNoN/ANoNo22024-08-10FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien / Lien NHL
Kyle MacLeanThunderbirds (STL)C271999-04-29USANo190 Lbs6 ft1NoNoN/ANoNo12026-08-25FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Logan MaillouxThunderbirds (STL)D232003-04-15CANNo212 Lbs6 ft3NoNoN/ANoNo22024-06-22FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Michael PezzettaThunderbirds (STL)LW/RW281998-03-13CANNo222 Lbs6 ft1NoNoN/ANoNo12025-08-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Noah WarrenThunderbirds (STL)D222004-07-15CANNo224 Lbs6 ft4NoNoProspectNoNo32025-06-20FalseFalsePro & Farm500,000$0$0$No500,000$500,000$----------------NoNo-------Lien
Olivier NadeauThunderbirds (STL)RW232003-01-15CANYes204 Lbs6 ft2NoNoProspectNoNo42026-06-15FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$---------------NoNoNo------Lien
Olle LycksellThunderbirds (STL)RW271999-08-24SWENo197 Lbs5 ft11NoNoN/ANoNo22026-08-25FalseFalsePro & Farm300,000$0$0$No300,000$-----------------No--------Lien / Lien NHL
Trey Fix-WolanskyThunderbirds (STL)RW271999-05-26CANNo191 Lbs5 ft7NoNoN/ANoNo12024-08-10FalseFalsePro & Farm300,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.71196 Lbs6 ft12.23400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aidan McDonoughKyle MacLeanArseny Gritsyuk40122
2Joona KoppanenKenny ConnorsTrey Fix-Wolansky30122
3Angus CrookshankHugh McGingOlle Lycksell20122
4C.J. SmithKenny ConnorsOlivier Nadeau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreJordan Spence40122
2Albert JohanssonLogan Mailloux30122
3Kyle CapobiancoAlec Regula20122
4Albert JohanssonDomenick Fensore10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aidan McDonoughKenny ConnorsArseny Gritsyuk60122
2Joona KoppanenKyle MacLeanTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaJordan Spence60122
2Albert JohanssonLogan Mailloux40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kenny ConnorsTrey Fix-Wolansky60122
2Arseny GritsyukAidan McDonough40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonKyle Capobianco60122
2Domenick FensoreAlec Regula40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arseny Gritsyuk60122Albert JohanssonKyle Capobianco60122
2Aidan McDonough40122Domenick FensoreAlec Regula40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aidan McDonoughArseny Gritsyuk60122
2Kyle MacLeanTrey Fix-Wolansky40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaJordan Spence60122
2Albert JohanssonLogan Mailloux40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aidan McDonoughTrey Fix-WolanskyArseny GritsyukAlbert JohanssonKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aidan McDonoughTrey Fix-WolanskyArseny GritsyukAlbert JohanssonKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Trey Fix-Wolansky, C.J. Smith, Arseny GritsyukArseny Gritsyuk, C.J. SmithArseny Gritsyuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Albert Johansson, Domenick Fensore, Colton WhiteAlbert JohanssonDomenick Fensore, Jordan Spence
Tirs de pénalité
Arseny Gritsyuk, Trey Fix-Wolansky, Kyle MacLean, Aidan McDonough, Joona Koppanen
Gardien
#1 : Erik Portillo, #2 : Arno Tiefensee
Lignes d’attaque personnalisées en prolongation
Arseny Gritsyuk, Olle Lycksell, Aidan McDonough, Trey Fix-Wolansky, Joona Koppanen, Kyle MacLean, Kenny Connors, Olivier Nadeau, C.J. Smith, Angus Crookshank
Lignes de défense personnalisées en prolongation
Albert Johansson, Kyle Capobianco, Colton White, Alec Regula, Jordan Spence


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
1Bruins22000000523110000002111100000031241.00051015006340544034515347163116318.75%60100.00%07114449.31%6012348.78%457163.38%13393108366333
2Penguins1010000025-31010000025-30000000000000.0002460063401640345153181413100.00%6266.67%07114449.31%6012348.78%457163.38%13393108366333
3Rocket1000000123-11000000123-10000000000010.500246006340294034515216211800.00%10100.00%07114449.31%6012348.78%457163.38%13393108366333
4Wolfpack11000000413000000000001100000041321.00047110063402840345151451496116.67%40100.00%07114449.31%6012348.78%457163.38%13393108366333
Total53100001131123110000169-32200000072570.700132538006340127403451510026466431412.90%17288.24%07114449.31%6012348.78%457163.38%13393108366333
_Since Last GM Reset53100001131123110000169-32200000072570.700132538006340127403451510026466431412.90%17288.24%07114449.31%6012348.78%457163.38%13393108366333
_Vs Conference1000000123-11000000123-10000000000010.500246006340294034515216211800.00%10100.00%07114449.31%6012348.78%457163.38%13393108366333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
57W313253812710026466400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53100011311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311000169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
220000072
Derniers 10 matchs
WLOTWOTL SOWSOL
310001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31412.90%17288.24%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
40345156340
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
7114449.31%6012348.78%457163.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13393108366333


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
9 - 2026-10-1717Rocket3Thunderbirds2LXXSommaire du match
10 - 2026-10-1825Penguins5Thunderbirds2LSommaire du match
15 - 2026-10-2332Thunderbirds4Wolfpack1WSommaire du match
16 - 2026-10-2452Bruins1Thunderbirds2WSommaire du match
17 - 2026-10-2561Thunderbirds3Bruins1WSommaire du match
22 - 2026-10-3076Griffins-Thunderbirds-
23 - 2026-10-3190Bears-Thunderbirds-
24 - 2026-11-0199Thunderbirds-Wolfpack-
29 - 2026-11-06116Islanders-Thunderbirds-
30 - 2026-11-07129Phantoms-Thunderbirds-
34 - 2026-11-11141Islanders-Thunderbirds-
37 - 2026-11-14159Thunderbirds-Bears-
38 - 2026-11-15170Thunderbirds-Bears-
43 - 2026-11-20195Phantoms-Thunderbirds-
44 - 2026-11-21210Checkers-Thunderbirds-
50 - 2026-11-27234Checkers-Thunderbirds-
51 - 2026-11-28245Thunderbirds-Wolfpack-
57 - 2026-12-04268Comets-Thunderbirds-
58 - 2026-12-05280Wolfpack-Thunderbirds-
59 - 2026-12-06295Thunderbirds-Bruins-
64 - 2026-12-11314Islanders-Thunderbirds-
65 - 2026-12-12326IceHogs-Thunderbirds-
72 - 2026-12-19363Thunderbirds-Penguins-
75 - 2026-12-22383Thunderbirds-Checkers-
76 - 2026-12-23387Thunderbirds-Checkers-
79 - 2026-12-26415Thunderbirds-Senators-
80 - 2026-12-27422Thunderbirds-Rocket-
85 - 2027-01-01432Wolfpack-Thunderbirds-
86 - 2027-01-02447Islanders-Thunderbirds-
89 - 2027-01-05459Wolfpack-Thunderbirds-
92 - 2027-01-08475Americans-Thunderbirds-
100 - 2027-01-16529Bruins-Thunderbirds-
101 - 2027-01-17537Thunderbirds-Wolfpack-
104 - 2027-01-20546Thunderbirds-Islanders-
107 - 2027-01-23567Thunderbirds-Islanders-
108 - 2027-01-24580Thunderbirds-Bruins-
109 - 2027-01-25589Islanders-Thunderbirds-
113 - 2027-01-29607Thunderbirds-Phantoms-
114 - 2027-01-30621Bruins-Thunderbirds-
115 - 2027-01-31630Wolfpack-Thunderbirds-
120 - 2027-02-05656Thunderbirds-Wild-
121 - 2027-02-06668Thunderbirds-Wild-
127 - 2027-02-12679Thunderbirds-Bruins-
128 - 2027-02-13699Bruins-Thunderbirds-
132 - 2027-02-17715Thunderbirds-Griffins-
133 - 2027-02-18721Thunderbirds-Admirals-
135 - 2027-02-20737Thunderbirds-IceHogs-
139 - 2027-02-24761Wolfpack-Thunderbirds-
142 - 2027-02-27784Penguins-Thunderbirds-
143 - 2027-02-28794Thunderbirds-Islanders-
148 - 2027-03-05814Thunderbirds-Wolfpack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2027-03-06832Thunderbirds-Bruins-
152 - 2027-03-09846Thunderbirds-Checkers-
153 - 2027-03-10851Thunderbirds-Checkers-
156 - 2027-03-13877Bruins-Thunderbirds-
157 - 2027-03-14884Thunderbirds-Islanders-
162 - 2027-03-19902Thunderbirds-Crunch-
163 - 2027-03-20917Crunch-Thunderbirds-
164 - 2027-03-21926Bruins-Thunderbirds-
167 - 2027-03-24940Bears-Thunderbirds-
169 - 2027-03-26951Admirals-Thunderbirds-
170 - 2027-03-27960Thunderbirds-Islanders-
176 - 2027-04-02995Wild-Thunderbirds-
177 - 2027-04-031010Wild-Thunderbirds-
178 - 2027-04-041018Thunderbirds-Bruins-
181 - 2027-04-071032Thunderbirds-Americans-
183 - 2027-04-091041Thunderbirds-Comets-
184 - 2027-04-101057Thunderbirds-Phantoms-
190 - 2027-04-161083Senators-Thunderbirds-
191 - 2027-04-171093Thunderbirds-Penguins-
197 - 2027-04-231129Checkers-Thunderbirds-
198 - 2027-04-241145Checkers-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,7592,775
Assistance PCT95.98%92.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
33 2845 - 94.82% 71,336$214,008$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
237,723$ 124,000$ 124,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 11,589$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,354,088$ 181 13,186$ 2,386,666$




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