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

Firebirds
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 19 | GA: 19 | PP%: 14.29% | PK%: 65.00%
DG: Francois Gonthier | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #86 vs Bears

Centre de jeu
Silver Knights
3-1-1, 7pts
6
2 Firebirds
3-2-0, 6pts
Team Stats
L1SéquenceL2
1-1-1Fiche domicile1-1-0
2-0-0Fiche domicile2-1-0
3-1-1Derniers 10 matchs3-2-0
3.60Buts par match 3.80
2.60Buts contre par match 3.80
27.27%Pourcentage en avantage numérique14.29%
75.00%Pourcentage en désavantage numérique65.00%
Firebirds
3-2-0, 6pts
4
5 Griffins
2-2-0, 4pts
Team Stats
L2SéquenceW1
1-1-0Fiche domicile2-2-0
2-1-0Fiche domicile0-0-0
3-2-0Derniers 10 matchs2-2-0
3.80Buts par match 4.00
3.80Buts contre par match 2.50
14.29%Pourcentage en avantage numérique30.00%
65.00%Pourcentage en désavantage numérique81.82%
Firebirds
3-2-0, 6pts
2026-10-11
Bears
2-2-0, 4pts
Statistiques d’équipe
L2SéquenceW2
1-1-0Fiche domicile2-0-0
2-1-0Fiche visiteur0-2-0
3-2-010 derniers matchs2-2-0
3.80Buts par match 3.00
3.80Buts contre par match 3.00
14.29%Pourcentage en avantage numérique15.79%
65.00%Pourcentage en désavantage numérique100.00%
Firebirds
3-2-0, 6pts
2026-10-13
Phantoms
3-2-0, 6pts
Statistiques d’équipe
L2SéquenceW2
1-1-0Fiche domicile1-1-0
2-1-0Fiche visiteur2-1-0
3-2-010 derniers matchs3-2-0
3.80Buts par match 3.40
3.80Buts contre par match 3.40
14.29%Pourcentage en avantage numérique42.86%
65.00%Pourcentage en désavantage numérique82.61%
Firebirds
3-2-0, 6pts
2026-10-15
Crunch
3-1-0, 6pts
Statistiques d’équipe
L2SéquenceW1
1-1-0Fiche domicile2-1-0
2-1-0Fiche visiteur1-0-0
3-2-010 derniers matchs3-1-0
3.80Buts par match 4.75
3.80Buts contre par match 4.75
14.29%Pourcentage en avantage numérique28.57%
65.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Marc McLaughlinButs
Marc McLaughlin
3
Simon RobertssonPasses
Simon Robertsson
5
Simon RobertssonPoints
Simon Robertsson
6
Ben MeyersPlus/Moins
Ben Meyers
3
Nikke KokkoVictoires
Nikke Kokko
3
Nikke KokkoPourcentage d’arrêts
Nikke Kokko
0.929

Statistiques d’équipe
Buts pour
19
3.80 GFG
Tirs pour
194
38.80 Avg
Pourcentage en avantage numérique
14.3%
4 GF
Début de zone offensive
42.2%
Buts contre
19
3.80 GAA
Tirs contre
190
38.00 Avg
Pourcentage en désavantage numérique
65.0%%
7 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralFrancois Gonthier
EntraîneurBob Jones
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,731
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 70
Espoirs22


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
1Ben MeyersX100.00704089667183846580636768646970040660282925,000$
2Skyler Brind'AmourXX100.00693982617985875860556166626769040630283925,000$
3Brendan HoffmanX100.008039955689816857625958635665670406202531,499,999$
4Marc McLaughlinXX100.00683889627579775963595860576669040620281925,000$
5Philippe DaoustX100.00563790626573815867645756596667040610262925,000$
6Jason PolinX100.00693793597480775766555861566769040610281925,000$
7Simon RobertssonX100.00633884597271725855575659546365040600242925,000$
8Austin BrimmerX100.008245715591726454575250585165670405902631,499,999$
9Jett JonesX100.00774092548661635357515256556466040590251925,000$
10Robert MastrosimoneX100.00553880586475785654575955586567040590261925,000$
11Ryan UfkoX100.00603691646981876330716260516365040640242925,000$
12Juuso ValimakiX100.00704188668184736430625766506970040640282925,000$
13Victor ManciniX100.00774188648984825930645660496566040640252925,000$
14Marc Del GaizoX100.006739836370858661306458625067690406302711,300,000$
15Cameron CrottyX100.00734177608679825830635262466769040620283925,000$
16Ethan SamsonX100.00643981597377805630585755486365040600241925,000$
17Tyson HindsX100.00733986568482865430555363456365040600241925,000$
Rayé
1Adam ErneXX100.008369846179746956535560576273720406203231,499,999$
2Matthew StromeXX100.007942805788758155595856615567690406202831,499,999$
MOYENNE D’ÉQUIPE100.0070418560787878585059576054666804062
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
1Nikke Kokko100.0077858180767577767577766267040670232925,000$
2Tomas Suchanek (R)100.0067736973666567666567666369040620243925,000$
Rayé
1Pheonix Copley100.00778680877675777675777674880406703521,299,000$
2Henrik Tikkanen100.0071827898706971706971706675040640262925,000$
MOYENNE D’ÉQUIPE100.007382778572717372717372667504065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Jones73657165817568CAN561500,000$


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
1Simon RobertssonFirebirds (SEA)RW51560004416076.25%29519.10112822000000025.00%400001.2600000010
2Ben MeyersFirebirds (SEA)C32353206171471314.29%38026.96000414000090152.67%13100001.2401000101
3Juuso ValimakiFirebirds (SEA)D50550602118166150%812124.39000722000012000%000000.8200000001
4Skyler Brind'AmourFirebirds (SEA)C/RW5235120121027687.41%212725.5301110220000180056.25%1600000.7801000010
5Marc McLaughlinFirebirds (SEA)C/RW5325-120710174617.65%010020.03123322000080040.94%12700001.0001000000
6Philippe DaoustFirebirds (SEA)C5224200410143714.29%07815.6400027000011044.33%9700001.0211000000
7Marc Del GaizoFirebirds (SEA)D5224-100771621112.50%310220.552131422000015000%000000.7800000000
8Brendan HoffmanFirebirds (SEA)RW5123-14011718275.56%19919.89011422000080038.10%2100000.6001000000
9Victor ManciniFirebirds (SEA)D5033-1001274430%510220.57022322000015000%000000.5800000000
10Robert MastrosimoneFirebirds (SEA)LW521304015102520.00%212024.060003220000101037.84%3700000.5000000100
11Jason PolinFirebirds (SEA)RW511212046103710.00%07114.3100000000060030.00%1000000.5600000001
12Jett JonesFirebirds (SEA)C51122207553420.00%07114.2200000000000133.33%900000.5600000100
13Cameron CrottyFirebirds (SEA)D51012203370514.29%45410.920000000000000%000000.3700000000
14Ryan UfkoFirebirds (SEA)D50111608912270%812324.66000722000013000%000000.1600000000
15Ethan SamsonFirebirds (SEA)D5011040310000%4469.210000000003000%000000.4300000000
16Tyson HindsFirebirds (SEA)D5011000301000%5234.600000000000000%000000.8700000000
17Adam ErneFirebirds (SEA)LW/RW2000-320944230%03417.0800000000000053.33%450000000000000
18Austin BrimmerFirebirds (SEA)RW5000000200000%061.23000000000000100.00%20000000000000
Statistiques d’équipe totales ou en moyenne851833515380124123191461089.42%47145917.1748126522400001252245.69%49900000.7015000323
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
1Nikke KokkoFirebirds (SEA)33000.9292.541890081130001.000532001
2Pheonix CopleyFirebirds (SEA)20200.8575.551190011770000020000
Statistiques d’équipe totales ou en moyenne53200.9003.703080019190000552001


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
Adam ErneFirebirds (SEA)LW/RW321995-04-20USANo209 Lbs185 CMNoNoFree AgentYesYes32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Austin BrimmerFirebirds (SEA)RW262001-08-10CANNo223 Lbs193 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ben MeyersFirebirds (SEA)C281998-11-15USANo194 Lbs180 CMNoNoFree AgentNoNo22026-07-18FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Brendan HoffmanFirebirds (SEA)RW252001-10-09USANo230 Lbs191 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Cameron CrottyFirebirds (SEA)D281999-05-05CANNo213 Lbs191 CMNoNoAssign ManuallyNoNo32024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ethan SamsonFirebirds (SEA)D242003-08-23CANNo180 Lbs185 CMNoNoAssign ManuallyNoNo12024-07-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Henrik TikkanenFirebirds (SEA)G262000-09-28FINNo222 Lbs203 CMNoNoAssign ManuallyNoNo22024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jason PolinFirebirds (SEA)RW281999-06-17USANo198 Lbs183 CMNoNoTrade2024-12-03NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jett JonesFirebirds (SEA)C252002-08-27CANNo215 Lbs191 CMNoNoAssign ManuallyNoNo12024-07-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Juuso ValimakiFirebirds (SEA)D281998-10-06FINNo201 Lbs188 CMNoNoFree AgentNoNo22026-07-18FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Marc Del GaizoFirebirds (SEA)D271999-10-11USANo188 Lbs180 CMNoNoFree AgentNoNo12025-07-13FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien / Lien NHL
Marc McLaughlinFirebirds (SEA)C/RW281999-07-26USANo202 Lbs183 CMNoNoTrade2026-05-19NoNo12024-05-18FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matthew StromeFirebirds (SEA)LW/RW281999-01-06CANNo206 Lbs193 CMNoNoFree AgentNoYes32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Nikke KokkoFirebirds (SEA)G232004-03-14FINNo184 Lbs191 CMNoNoTrade2026-09-02NoNo22025-06-02FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Pheonix CopleyFirebirds (SEA)G351992-01-18USANo205 Lbs193 CMNoNoWaiverYesYes22025-07-05FalseFalsePro & Farm1,299,000$0$0$No1,299,000$--------1,299,000$--------No--------Lien / Lien NHL
Philippe DaoustFirebirds (SEA)C262001-05-11CANNo151 Lbs183 CMNoNoDraftNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Robert MastrosimoneFirebirds (SEA)LW262001-01-24USANo170 Lbs178 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoFirebirds (SEA)D242003-05-07USANo174 Lbs183 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Simon RobertssonFirebirds (SEA)RW242003-02-05SWENo190 Lbs183 CMNoNoTrade2026-05-19NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Skyler Brind'AmourFirebirds (SEA)C/RW281999-07-27USANo195 Lbs188 CMNoNoAssign ManuallyNoNo32024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tomas SuchanekFirebirds (SEA)G242003-04-30CZEYes180 Lbs185 CMNoNoTrade2026-09-02NoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Tyson HindsFirebirds (SEA)D242003-03-12CANNo201 Lbs191 CMNoNoTrade2026-05-19NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Victor ManciniFirebirds (SEA)D252002-05-26USANo229 Lbs191 CMNoNoTrade2026-05-19NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.61198 Lbs188 CM2.001,057,565$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robert MastrosimoneBen MeyersSkyler Brind'Amour40122
2Simon RobertssonMarc McLaughlinBrendan Hoffman30122
3Jett JonesPhilippe DaoustJason Polin20122
4Ben MeyersJett JonesSimon Robertsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiRyan Ufko40122
2Victor ManciniMarc Del Gaizo30122
3Cameron Crotty20122
4Ethan SamsonTyson Hinds10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robert MastrosimoneBen MeyersSkyler Brind'Amour60122
2Simon RobertssonMarc McLaughlinBrendan Hoffman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiRyan Ufko60122
2Victor ManciniMarc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSkyler Brind'Amour60122
2Brendan HoffmanMarc McLaughlin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiRyan Ufko60122
2Victor ManciniMarc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ben Meyers60122Juuso ValimakiRyan Ufko60122
2Skyler Brind'Amour40122Victor ManciniMarc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersSkyler Brind'Amour60122
2Brendan HoffmanMarc McLaughlin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiRyan Ufko60122
2Victor ManciniMarc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Robert MastrosimoneBen MeyersSkyler Brind'AmourJuuso ValimakiRyan Ufko
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Robert MastrosimoneBen MeyersSkyler Brind'AmourJuuso ValimakiRyan Ufko
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Brimmer, Philippe Daoust, Jason PolinAustin Brimmer, Philippe DaoustJason Polin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Crotty, , Ethan SamsonCameron Crotty, Ethan Samson
Tirs de pénalité
Ben Meyers, Skyler Brind'Amour, Brendan Hoffman, Marc McLaughlin, Philippe Daoust
Gardien
#1 : Nikke Kokko, #2 : Tomas Suchanek


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
1Condors11000000523000000000001100000052321.00051015005210243595668163710419400.00%20100.00%09020543.90%9820148.76%408050.00%12182122396533
2Griffins1010000045-1000000000001010000045-100.000481200521024059566816401310308225.00%5340.00%09020543.90%9820148.76%408050.00%12182122396533
3Heat20001010862100010004311000001043141.0008122000521028059566816761916491218.33%8187.50%09020543.90%9820148.76%408050.00%12182122396533
4Silver Knights1010000026-41010000026-40000000000000.0002460052102315956681637810344125.00%5340.00%09020543.90%9820148.76%408050.00%12182122396533
Total51201010191902010100069-3311000101310360.600193453005210219459566816190504013228414.29%20765.00%09020543.90%9820148.76%408050.00%12182122396533
_Since Last GM Reset51201010191902010100069-3311000101310360.600193453005210219459566816190504013228414.29%20765.00%09020543.90%9820148.76%408050.00%12182122396533
_Vs Conference41101010151412010100069-32100001095460.750152641005210215459566816150373010220210.00%15473.33%09020543.90%9820148.76%408050.00%12182122396533
_Vs Division41101010151412010100069-32100001095460.750152641005210215459566816150373010220210.00%15473.33%09020543.90%9820148.76%408050.00%12182122396533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
56L2193453194190504013200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51210101919
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201100069
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31100101310
Derniers 10 matchs
WLOTWOTL SOWSOL
320000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28414.29%20765.00%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
5956681652102
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
9020543.90%9820148.76%408050.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12182122396533


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
3 - 2026-10-0116Firebirds4Heat3WXXSommaire du match
5 - 2026-10-0328Firebirds5Condors2WSommaire du match
6 - 2026-10-0438Heat3Firebirds4WXSommaire du match
8 - 2026-10-0649Silver Knights6Firebirds2LSommaire du match
11 - 2026-10-0968Firebirds4Griffins5LSommaire du match
13 - 2026-10-1186Firebirds-Bears-
15 - 2026-10-13102Firebirds-Phantoms-
17 - 2026-10-15110Firebirds-Crunch-
19 - 2026-10-17133Firebirds-Checkers-
22 - 2026-10-20151Griffins-Firebirds-
24 - 2026-10-22160Roadrunners-Firebirds-
26 - 2026-10-24173Wild-Firebirds-
30 - 2026-10-28199Marlies-Firebirds-
32 - 2026-10-30215Firebirds-Heat-
37 - 2026-11-04247Heat-Firebirds-
40 - 2026-11-07275Wolf Pack-Firebirds-
45 - 2026-11-12305Wolves-Firebirds-
47 - 2026-11-14320Firebirds-Wolves-
52 - 2026-11-19350Canucks-Firebirds-
53 - 2026-11-20369Firebirds-Barracuda-
55 - 2026-11-22384Gulls-Firebirds-
57 - 2026-11-24394IceHogs-Firebirds-
58 - 2026-11-25403Firebirds-Condors-
59 - 2026-11-26417Condors-Firebirds-
62 - 2026-11-29442Stars-Firebirds-
64 - 2026-12-01449Stars-Firebirds-
65 - 2026-12-02463Firebirds-Gulls-
67 - 2026-12-04478Americans-Firebirds-
69 - 2026-12-06488Firebirds-Barracuda-
71 - 2026-12-08501Bears-Firebirds-
73 - 2026-12-10516Admirals-Firebirds-
76 - 2026-12-13546Firebirds-Admirals-
78 - 2026-12-15556Firebirds-Monsters-
79 - 2026-12-16561Firebirds-Penguins-
81 - 2026-12-18583Firebirds-Eagles-
83 - 2026-12-20594Barracuda-Firebirds-
87 - 2026-12-24627Phantoms-Firebirds-
88 - 2026-12-25637Firebirds-Canucks-
91 - 2026-12-28667Sound Tigers-Firebirds-
92 - 2026-12-29672Canucks-Firebirds-
94 - 2026-12-31682Crunch-Firebirds-
97 - 2027-01-03707Firebirds-Eagles-
98 - 2027-01-04714Firebirds-Silver Knights-
101 - 2027-01-07735Checkers-Firebirds-
103 - 2027-01-09753Firebirds-Canucks-
105 - 2027-01-11770Barracuda-Firebirds-
107 - 2027-01-13778Monsters-Firebirds-
108 - 2027-01-14788Firebirds-Reign-
110 - 2027-01-16804Firebirds-Americans-
112 - 2027-01-18813Firebirds-Sound Tigers-
114 - 2027-01-20833Firebirds-Wolf Pack-
115 - 2027-01-21837Firebirds-Comets-
117 - 2027-01-23859Firebirds-Wild-
120 - 2027-01-26878Comets-Firebirds-
123 - 2027-01-29887Rocket-Firebirds-
129 - 2027-02-04923Thunderbirds-Firebirds-
131 - 2027-02-06931Penguins-Firebirds-
133 - 2027-02-08948Senators-Firebirds-
135 - 2027-02-10964Firebirds-Roadrunners-
136 - 2027-02-11971Firebirds-Reign-
138 - 2027-02-13989Bruins-Firebirds-
140 - 2027-02-15999Firebirds-Gulls-
143 - 2027-02-181027Moose-Firebirds-
145 - 2027-02-201042Firebirds-Moose-
147 - 2027-02-221054Firebirds-Marlies-
148 - 2027-02-231056Firebirds-Rocket-
150 - 2027-02-251074Firebirds-Senators-
152 - 2027-02-271089Firebirds-Bruins-
155 - 2027-03-021114Reign-Firebirds-
157 - 2027-03-041127Condors-Firebirds-
159 - 2027-03-061141Thunderbirds-Firebirds-
161 - 2027-03-081154Firebirds-Silver Knights-
163 - 2027-03-101171Eagles-Firebirds-
165 - 2027-03-121192Reign-Firebirds-
167 - 2027-03-141204Silver Knights-Firebirds-
169 - 2027-03-161211Gulls-Firebirds-
171 - 2027-03-181235Firebirds-Wild-
172 - 2027-03-191240Firebirds-IceHogs-
174 - 2027-03-211256Roadrunners-Firebirds-
178 - 2027-03-251278Moose-Firebirds-
180 - 2027-03-271299Firebirds-Stars-
181 - 2027-03-281308Firebirds-Admirals-
183 - 2027-03-301320Firebirds-Thunderbirds-
185 - 2027-04-011335Firebirds-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance5,7833,678
Assistance PCT96.38%91.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 4731 - 94.61% 145,814$291,627$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
177,361$ 2,432,400$ 2,432,400$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 147,628$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,686,726$ 174 15,851$ 2,758,074$




Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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