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Firebirds
GP: 43 | W: 21 | L: 18 | OTL: 4 | P: 46
GF: 134 | GA: 128 | PP%: 21.47% | PK%: 80.00%
DG: Francois Gonthier | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #718 vs Wolf Pack

Centre de jeu
Wild
18-20-8, 44pts
3
1 Firebirds
21-18-4, 46pts
Team Stats
OTL1SéquenceW1
7-9-7Fiche domicile12-9-1
11-11-1Fiche domicile9-9-3
5-3-2Derniers 10 matchs8-2-0
2.59Buts par match 3.12
3.09Buts contre par match 2.98
17.16%Pourcentage en avantage numérique21.47%
76.64%Pourcentage en désavantage numérique80.00%
Firebirds
21-18-4, 46pts
4
1 Wolves
33-10-2, 68pts
Team Stats
W1SéquenceL1
12-9-1Fiche domicile19-5-1
9-9-3Fiche domicile14-5-1
8-2-0Derniers 10 matchs8-2-0
3.12Buts par match 3.78
2.98Buts contre par match 2.53
21.47%Pourcentage en avantage numérique26.25%
80.00%Pourcentage en désavantage numérique91.33%
Firebirds
21-18-4, 46pts
2026-01-12
Wolf Pack
16-25-5, 37pts
Statistiques d’équipe
W1SéquenceL2
12-9-1Fiche domicile6-13-1
9-9-3Fiche visiteur10-12-4
8-2-010 derniers matchs3-6-1
3.12Buts par match 2.96
2.98Buts contre par match 2.96
21.47%Pourcentage en avantage numérique21.43%
80.00%Pourcentage en désavantage numérique77.94%
Firebirds
21-18-4, 46pts
2026-01-14
Comets
23-19-3, 49pts
Statistiques d’équipe
W1SéquenceW1
12-9-1Fiche domicile10-10-1
9-9-3Fiche visiteur13-9-2
8-2-010 derniers matchs8-1-1
3.12Buts par match 3.07
2.98Buts contre par match 3.07
21.47%Pourcentage en avantage numérique20.57%
80.00%Pourcentage en désavantage numérique77.60%
Firebirds
21-18-4, 46pts
2026-01-15
Bruins
17-26-3, 37pts
Statistiques d’équipe
W1SéquenceW2
12-9-1Fiche domicile10-13-1
9-9-3Fiche visiteur7-13-2
8-2-010 derniers matchs4-6-0
3.12Buts par match 3.02
2.98Buts contre par match 3.02
21.47%Pourcentage en avantage numérique17.20%
80.00%Pourcentage en désavantage numérique75.71%
Meneurs d'équipe
Erik BrannstromButs
Erik Brannstrom
17
Erik BrannstromPasses
Erik Brannstrom
28
Erik BrannstromPoints
Erik Brannstrom
45
Brandon GignacPlus/Moins
Brandon Gignac
12
Henrik TikkanenVictoires
Henrik Tikkanen
15
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.904

Statistiques d’équipe
Buts pour
134
3.12 GFG
Tirs pour
1241
28.86 Avg
Pourcentage en avantage numérique
21.5%
38 GF
Début de zone offensive
39.3%
Buts contre
128
2.98 GAA
Tirs contre
1295
30.12 Avg
Pourcentage en désavantage numérique
80.0%%
26 GA
Début de la zone défensive
41.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance4,687
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 70
Espoirs14


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
1Jakub DemekXX100.00793991598878766066615762586264040630232925,000$
2Brandon GignacX100.006138786370847561686058646268700406202831,499,999$
3Skyler Brind'AmourXX100.00673887627984835866566159626668040620274925,000$
4Henri NikkanenX100.00773893578667725563565458556466040610251925,000$
5Jason PolinX100.00673788597476775664575958566568040610272925,000$
6Nick Swaney (R)X100.00563693596685695660575853566870040600283925,000$
7Daniel D'AmatoXX100.00633981567276815559545756586466040590251925,000$
8Philippe Daoust (R)X100.00563692586569705769625453576466040590253925,000$
9Jett JonesX100.00773993558662675356525457556365040590242925,000$
10Kevin WallX100.00663793567276785357545552566567040590264925,000$
11Gavin HainX100.00573985547174735360525551546567040580264925,000$
12Erik BrannstromX100.006340796967868566307261715367690406602631,499,999$
13Derrick PouliotX100.00693978657877866330645562497273040640323925,000$
14Marc Del GaizoX100.006738846570858763306659645266680406402621,300,000$
15Cameron CrottyX100.00714078628070835930605861496670040620274925,000$
16Ryan Ufko (R)X100.00643693636982756230605759496264040620233925,000$
17Cade Webber (R)X100.00895381589863705630545261456466040610253925,000$
Rayé
1Robert MastrosimoneX100.00553879566477785460555752586466040580252925,000$
2Ethan SamsonX100.00643977587372855730565554466264040590232925,000$
3Scott Walford (R)X100.00703895547962695330525155456668040580273925,000$
MOYENNE D’ÉQUIPE100.0067398659757577584958565854656704061
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
1Akira Schmid100.00788682877776787776787765730406802642,100,000$
2Henrik Tikkanen100.0070807698696870696870696573040630253925,000$
Rayé
1Brett Brochu (R)100.0070726870696870696870696369040630233925,000$
MOYENNE D’ÉQUIPE100.007379758572717372717372647204065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Jones73657165817568CAN552500,000$


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
1Erik BrannstromFirebirds (SEA)D41172845118068103100319917.00%72102525.0281018631540110105110%000010.8800000321
2Jakub DemekFirebirds (SEA)C/RW431522379260114116135419311.11%1898522.9147114015600021214151.10%136800100.7512000261
3Marc Del GaizoFirebirds (SEA)D3252530314069577425576.76%4279824.96391247125000081110%000000.7500000102
4Ryan UfkoFirebirds (SEA)D42101929-8100195575315213.33%5686920.71941346125000097200%000000.6700000112
5Skyler Brind'AmourFirebirds (SEA)C/RW43161329-6280751201404610011.43%1284719.724812311411012614049.50%99200000.6802000212
6Nick SwaneyFirebirds (SEA)RW43121224-11202352103205711.65%780518.730003320000431244.12%10200000.6001000101
7Cade WebberFirebirds (SEA)D434182225151233731111812.90%4864414.9901117000035100%000000.6800001111
8Cameron CrottyFirebirds (SEA)D4351621-11551594538421505.95%4285519.8918942123000072000%000000.4900111110
9Daniel D'AmatoFirebirds (SEA)LW/RW4371320-24053518123658.64%795622.254372514900021270151.81%8300000.4211000112
10Brandon GignacFirebirds (SEA)LW13712191220132550163314.00%428321.8414516520000221037.50%2400001.3400000211
11Henri NikkanenFirebirds (SEA)C4310717-4160676656194717.86%848411.2710124000012149.00%50200000.7001000121
12Derrick PouliotFirebirds (SEA)D2211314-110041312619173.85%2342619.400331431000018000%000000.6600000100
13Gavin HainFirebirds (SEA)C437512-880432362173911.29%777818.1023516148000000062.50%5600000.3100000011
14Ethan SamsonFirebirds (SEA)D301101122092822694.55%1841313.790001300003000%000000.5300000010
15Jett JonesFirebirds (SEA)C4356111225573285719468.77%479418.4805512126000002045.61%5700000.2800100001
16Robert MastrosimoneFirebirds (SEA)LW304711-96042285622327.14%461520.511349930001530041.03%3900000.3600000010
17Jason PolinFirebirds (SEA)RW43279-51402519266257.69%72576.0000000000000033.33%1500000.7002000001
18Kevin WallFirebirds (SEA)RW43167-312030183411372.94%249011.4100003000000028.00%2500000.2900000001
19Philippe DaoustFirebirds (SEA)C43314-50012402761811.11%52656.1700000000000049.50%30100000.3000000000
Statistiques d’équipe totales ou en moyenne726132240372-3230325993950123939089410.65%3861260017.3638681063681479112784619749.69%356400110.5929212171918
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
1Henrik TikkanenFirebirds (SEA)29151020.9012.85162101777750301.00032716201
2Akira SchmidFirebirds (SEA)196820.9043.0797701505190011.00061627211
Statistiques d’équipe totales ou en moyenne48211840.9022.93259902127129403194343412


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Akira Schmid (contrat à 1 volet)Firebirds (SEA)G262000-05-12CHENo190 Lbs196 CMNoNoFree AgentNoNo42025-07-19FalseFalsePro & Farm2,100,000$2,100,000$1,044,560$No2,100,000$2,100,000$2,100,000$------2,100,000$2,100,000$2,100,000$------NoNoNo------Lien / Lien NHL
Brandon GignacFirebirds (SEA)LW281997-11-07CANNo170 Lbs180 CMNoNoFree AgentYesYes32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Brett BrochuFirebirds (SEA)G232002-09-09CANYes161 Lbs180 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cade WebberFirebirds (SEA)D252001-01-05USAYes212 Lbs201 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cameron CrottyFirebirds (SEA)D271999-05-05CANNo182 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Daniel D'AmatoFirebirds (SEA)LW/RW252001-04-08CANNo175 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Derrick PouliotFirebirds (SEA)D321994-01-16CANNo204 Lbs185 CMNoNoN/AYesYes32024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Erik Brannstrom (contrat à 1 volet)Firebirds (SEA)D261999-09-02SWENo185 Lbs178 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$1,499,999$746,113$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ethan SamsonFirebirds (SEA)D232003-08-23CANNo180 Lbs185 CMNoNoAssign ManuallyNoNo22024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gavin HainFirebirds (SEA)C262000-04-03USANo194 Lbs180 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Henri NikkanenFirebirds (SEA)C252001-04-28FINNo200 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Henrik TikkanenFirebirds (SEA)G252000-09-28FINNo222 Lbs203 CMNoNoAssign ManuallyNoNo32024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jakub DemekFirebirds (SEA)C/RW232003-06-06SVKNo210 Lbs193 CMNoNoAssign ManuallyNoNo22024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jason PolinFirebirds (SEA)RW271999-06-17USANo198 Lbs183 CMNoNoTrade2024-12-03NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jett JonesFirebirds (SEA)C242002-08-27CANNo215 Lbs191 CMNoNoAssign ManuallyNoNo22024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Kevin WallFirebirds (SEA)RW262000-02-01USANo188 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Marc Del GaizoFirebirds (SEA)D261999-10-11USANo188 Lbs180 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien / Lien NHL
Nick SwaneyFirebirds (SEA)RW281997-09-09USAYes178 Lbs178 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Philippe DaoustFirebirds (SEA)C252001-05-11CANYes151 Lbs183 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Robert MastrosimoneFirebirds (SEA)LW252001-01-24USANo170 Lbs178 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ryan UfkoFirebirds (SEA)D232003-05-07USAYes174 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Scott WalfordFirebirds (SEA)D271999-01-12CANYes193 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Skyler Brind'AmourFirebirds (SEA)C/RW271999-07-27USANo195 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.74188 Lbs185 CM2.781,042,391$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon GignacJakub DemekJett Jones40122
2Daniel D'AmatoSkyler Brind'AmourGavin Hain30122
3Kevin WallHenri NikkanenNick Swaney20122
4Jason PolinPhilippe DaoustNick Swaney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMarc Del Gaizo40122
2Cameron CrottyDerrick Pouliot30122
3Cade WebberRyan Ufko20122
4Erik BrannstromMarc Del Gaizo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon GignacJakub DemekGavin Hain60122
2Daniel D'AmatoSkyler Brind'AmourJett Jones40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMarc Del Gaizo60122
2Cameron CrottyRyan Ufko40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub DemekDaniel D'Amato60122
2Skyler Brind'AmourBrandon Gignac40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMarc Del Gaizo60122
2Cameron CrottyRyan Ufko40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakub Demek60122Erik BrannstromMarc Del Gaizo60122
2Skyler Brind'Amour40122Cameron CrottyRyan Ufko40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakub DemekDaniel D'Amato60122
2Skyler Brind'AmourBrandon Gignac40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromMarc Del Gaizo60122
2Cameron CrottyRyan Ufko40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel D'AmatoJakub DemekJett JonesErik BrannstromMarc Del Gaizo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel D'AmatoJakub DemekRyan UfkoErik BrannstromCade Webber
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Swaney, Daniel D'Amato, Kevin WallNick Swaney, Daniel D'AmatoNick Swaney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Ufko, Cade Webber, Derrick PouliotRyan UfkoRyan Ufko, Cade Webber
Tirs de pénalité
Jakub Demek, Skyler Brind'Amour, Jason Polin, Henri Nikkanen, Nick Swaney
Gardien
#1 : Henrik Tikkanen, #2 : Akira Schmid


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
1Admirals1010000025-31010000025-30000000000000.000246005542352183934194201838102234125.00%000%0693139349.75%729146049.93%34968950.65%10217041031319547276
2Americans11000000211110000002110000000000021.00024600554235225393419420182174255120.00%20100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
3Barracuda321000009902110000045-11100000054140.6679152400554235211139341942018822625591300.00%10190.00%1693139349.75%729146049.93%34968950.65%10217041031319547276
4Bears1010000013-2000000000001010000013-200.0001230055423523039341942018268726200.00%10100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
5Bruins11000000532110000005320000000000021.0005914005542352453934194201826118207228.57%4175.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
6Canucks22000000725110000002111100000051441.0007132000554235240393419420186621144710220.00%70100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
7Condors311001001012-2210001008801010000024-230.500101929005542352973934194201810031286110550.00%11190.91%0693139349.75%729146049.93%34968950.65%10217041031319547276
8Eagles1010000013-21010000013-20000000000000.0001120055423522039341942018138234000%10100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
9Griffins21100000770110000006241010000015-420.500713200055423525639341942018631316526233.33%8275.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
10Gulls211000004311010000002-21100000041320.50047110055423526539341942018581612471218.33%60100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
11Heat21000100871000000000002100010087130.750815230055423526939341942018581783614214.29%3233.33%0693139349.75%729146049.93%34968950.65%10217041031319547276
12IceHogs20200000612-61010000035-21010000037-400.0006101600554235257393419420186421165311218.18%8362.50%0693139349.75%729146049.93%34968950.65%10217041031319547276
13Marlies1010000025-3000000000001010000025-300.000246005542352193934194201840106254125.00%30100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
14Monsters11000000422110000004220000000000021.0004610005542352393934194201831126186233.33%3166.67%0693139349.75%729146049.93%34968950.65%10217041031319547276
15Moose22000000606110000005051100000010141.00069150255423526339341942018491645211218.18%20100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
16Penguins1010000013-2000000000001010000013-200.000123005542352253934194201826162215120.00%10100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
17Phantoms21000100844110000006151000010023-130.7508152300554235265393419420187021174015533.33%6183.33%0693139349.75%729146049.93%34968950.65%10217041031319547276
18Reign211000008711010000034-11100000053220.500816240055423526839341942018621612569333.33%6183.33%0693139349.75%729146049.93%34968950.65%10217041031319547276
19Roadrunners1000010045-1000000000001000010045-110.5004812005542352243934194201841610122150.00%5260.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
20Rocket2020000037-41010000012-11010000025-300.0003580055423524539341942018571116515120.00%6183.33%0693139349.75%729146049.93%34968950.65%10217041031319547276
21Senators1010000024-2000000000001010000024-200.00024610554235227393419420183891920300.00%5260.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
22Silver Knights11000000633110000006330000000000021.0006121800554235231393419420183086363133.33%30100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
23Sound Tigers10000010321000000000001000001032121.000336005542352313934194201830101216400.00%6266.67%0693139349.75%729146049.93%34968950.65%10217041031319547276
24Stars20200000811-31010000046-21010000045-100.000816240055423525039341942018712116575120.00%8450.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
25Thunderbirds11000000211000000000001100000021121.0002350055423522639341942018296421200.00%20100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
26Wild21100000844211000008440000000000020.500815230055423524839341942018521623325240.00%8187.50%0693139349.75%729146049.93%34968950.65%10217041031319547276
27Wolf Pack10000010321100000103210000000000021.0003360055423522939341942018225830400.00%4175.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
28Wolves11000000413000000000001100000041321.000471100554235218393419420183217228000%10100.00%0693139349.75%729146049.93%34968950.65%10217041031319547276
Total43191800420134128622119001107359142189003106169-8460.53513424037412554235212413934194201812953893059981773821.47%1302680.00%1693139349.75%729146049.93%34968950.65%10217041031319547276
_Since Last GM Reset43191800420134128622119001107359142189003106169-8460.53513424037412554235212413934194201812953893059981773821.47%1302680.00%1693139349.75%729146049.93%34968950.65%10217041031319547276
_Vs Conference27131100300898451568001004646012730020043385290.53789163252025542352787393419420188132391826261112320.72%801581.25%1693139349.75%729146049.93%34968950.65%10217041031319547276
_Vs Division1594002005243984300100232307510010029209200.667529714900554235248139341942018456135105342711419.72%46589.13%1693139349.75%729146049.93%34968950.65%10217041031319547276

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4346W11342403741241129538930599812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4319180420134128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2211901107359
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
218903106169
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1773821.47%1302680.00%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
393419420185542352
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
693139349.75%729146049.93%34968950.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10217041031319547276


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 - 2025-10-0921Gulls2Firebirds0LSommaire du match
5 - 2025-10-1137Silver Knights3Firebirds6WSommaire du match
8 - 2025-10-1450Firebirds2Rocket5LSommaire du match
10 - 2025-10-1663Firebirds2Senators4LSommaire du match
12 - 2025-10-1879Firebirds2Marlies5LSommaire du match
14 - 2025-10-2094Firebirds2Phantoms3LXSommaire du match
15 - 2025-10-21102Firebirds1Bears3LSommaire du match
17 - 2025-10-23120Firebirds1Moose0WSommaire du match
19 - 2025-10-25139Condors6Firebirds5LXSommaire du match
22 - 2025-10-28164Rocket2Firebirds1LSommaire du match
26 - 2025-11-01193Wolf Pack2Firebirds3WXXSommaire du match
28 - 2025-11-03202IceHogs5Firebirds3LSommaire du match
30 - 2025-11-05217Barracuda1Firebirds3WSommaire du match
33 - 2025-11-08239Firebirds2Thunderbirds1WSommaire du match
34 - 2025-11-09248Firebirds4Stars5LSommaire du match
36 - 2025-11-11264Monsters2Firebirds4WSommaire du match
38 - 2025-11-13278Moose0Firebirds5WSommaire du match
40 - 2025-11-15295Barracuda4Firebirds1LSommaire du match
43 - 2025-11-18308Firebirds1Griffins5LSommaire du match
45 - 2025-11-20325Firebirds3IceHogs7LSommaire du match
47 - 2025-11-22340Firebirds1Penguins3LSommaire du match
48 - 2025-11-23349Firebirds3Sound Tigers2WXXSommaire du match
51 - 2025-11-26375Stars6Firebirds4LSommaire du match
54 - 2025-11-29393Condors2Firebirds3WSommaire du match
59 - 2025-12-04434Firebirds2Condors4LSommaire du match
61 - 2025-12-06452Griffins2Firebirds6WSommaire du match
63 - 2025-12-08465Wild1Firebirds7WSommaire du match
65 - 2025-12-10479Reign4Firebirds3LSommaire du match
67 - 2025-12-12494Firebirds4Roadrunners5LXSommaire du match
69 - 2025-12-14513Americans1Firebirds2WSommaire du match
71 - 2025-12-16528Eagles3Firebirds1LSommaire du match
73 - 2025-12-18542Firebirds2Heat3LXSommaire du match
75 - 2025-12-20561Firebirds5Barracuda4WSommaire du match
77 - 2025-12-22573Firebirds4Gulls1WSommaire du match
78 - 2025-12-23587Firebirds5Reign3WSommaire du match
83 - 2025-12-28605Phantoms1Firebirds6WSommaire du match
84 - 2025-12-29616Canucks1Firebirds2WSommaire du match
87 - 2026-01-01638Admirals5Firebirds2LSommaire du match
88 - 2026-01-02642Firebirds5Canucks1WSommaire du match
91 - 2026-01-05665Firebirds6Heat4WSommaire du match
92 - 2026-01-06676Bruins3Firebirds5WSommaire du match
94 - 2026-01-08693Wild3Firebirds1LSommaire du match
96 - 2026-01-10706Firebirds4Wolves1WSommaire du match
98 - 2026-01-12718Firebirds-Wolf Pack-
100 - 2026-01-14735Firebirds-Comets-
101 - 2026-01-15739Firebirds-Bruins-
103 - 2026-01-17757Firebirds-Roadrunners-
105 - 2026-01-19772Penguins-Firebirds-
107 - 2026-01-21793Sound Tigers-Firebirds-
109 - 2026-01-23809Gulls-Firebirds-
111 - 2026-01-25820Comets-Firebirds-
113 - 2026-01-27839Bears-Firebirds-
115 - 2026-01-29857Marlies-Firebirds-
117 - 2026-01-31872Firebirds-Silver Knights-
120 - 2026-02-03892Firebirds-Gulls-
121 - 2026-02-04902Firebirds-Reign-
142 - 2026-02-25913Firebirds-Stars-
143 - 2026-02-26925Firebirds-Thunderbirds-
145 - 2026-02-28946Canucks-Firebirds-
147 - 2026-03-02957Wolves-Firebirds-
149 - 2026-03-04974Thunderbirds-Firebirds-
152 - 2026-03-071000Senators-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101024Admirals-Firebirds-
157 - 2026-03-121040Eagles-Firebirds-
159 - 2026-03-141055Firebirds-Canucks-
160 - 2026-03-151062Checkers-Firebirds-
162 - 2026-03-171076Crunch-Firebirds-
164 - 2026-03-191087Firebirds-Admirals-
166 - 2026-03-211104Firebirds-Monsters-
169 - 2026-03-241123Firebirds-Checkers-
171 - 2026-03-261139Firebirds-Crunch-
173 - 2026-03-281159Firebirds-Americans-
176 - 2026-03-311187Firebirds-Condors-
178 - 2026-04-021203Roadrunners-Firebirds-
180 - 2026-04-041221IceHogs-Firebirds-
182 - 2026-04-061230Firebirds-Moose-
183 - 2026-04-071240Firebirds-Wild-
185 - 2026-04-091259Silver Knights-Firebirds-
187 - 2026-04-111273Heat-Firebirds-
189 - 2026-04-131291Reign-Firebirds-
191 - 2026-04-151306Firebirds-Silver Knights-
192 - 2026-04-161312Firebirds-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance62,05141,067
Assistance PCT94.02%93.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 4687 - 93.74% 143,829$3,164,228$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,241,446$ 2,037,500$ 2,037,500$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 990,165$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,732,742$ 96 13,148$ 1,262,208$




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