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Firebirds
GP: 29 | W: 15 | L: 10 | OTL: 4 | P: 34
GF: 117 | GA: 102 | PP%: 37.08% | PK%: 69.44%
DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #513 vs Crunch

Centre de jeu
Monarchs
8-20-2, 18pts
2
FINAL
5 Firebirds
15-10-4, 34pts
Team Stats
L5SéquenceW2
2-10-1Fiche domicile4-8-3
6-10-1Fiche domicile11-2-1
1-8-1Derniers 10 matchs6-4-0
3.53Buts par match 4.03
5.67Buts contre par match 3.52
16.85%Pourcentage en avantage numérique37.08%
58.51%Pourcentage en désavantage numérique69.44%
Firebirds
15-10-4, 34pts
5
FINAL
4 Roadrunners
14-16-3, 31pts
Team Stats
W2SéquenceL1
4-8-3Fiche domicile8-6-0
11-2-1Fiche domicile6-10-3
6-4-0Derniers 10 matchs5-3-2
4.03Buts par match 4.70
3.52Buts contre par match 5.52
37.08%Pourcentage en avantage numérique50.68%
69.44%Pourcentage en désavantage numérique58.56%
Crunch
7-22-2, 16pts
2025-12-14
Firebirds
15-10-4, 34pts
Statistiques d’équipe
L1SéquenceW2
4-11-1Fiche domicile4-8-3
3-11-1Fiche visiteur11-2-1
1-8-110 derniers matchs6-4-0
4.19Buts par match 4.03
6.29Buts contre par match 4.03
25.30%Pourcentage en avantage numérique37.08%
56.88%Pourcentage en désavantage numérique69.44%
Monsters
21-6-4, 46pts
2025-12-16
Firebirds
15-10-4, 34pts
Statistiques d’équipe
L1SéquenceW2
7-3-4Fiche domicile4-8-3
14-3-0Fiche visiteur11-2-1
7-1-210 derniers matchs6-4-0
5.00Buts par match 4.03
3.84Buts contre par match 4.03
46.43%Pourcentage en avantage numérique37.08%
73.81%Pourcentage en désavantage numérique69.44%
Firebirds
15-10-4, 34pts
2025-12-18
Heat
14-16-2, 30pts
Statistiques d’équipe
W2SéquenceW2
4-8-3Fiche domicile7-6-1
11-2-1Fiche visiteur7-10-1
6-4-010 derniers matchs5-4-1
4.03Buts par match 5.34
3.52Buts contre par match 5.34
37.08%Pourcentage en avantage numérique48.68%
69.44%Pourcentage en désavantage numérique63.44%
Meneurs d'équipe
Buts
Brett Murray
18
Passes
Anton Wahlberg
28
Points
Brett Murray
44
Plus/Moins
Anton Wahlberg
13
Victoires
Spencer Martin
13
Pourcentage d’arrêts
Spencer Martin
0.874

Statistiques d’équipe
Buts pour
117
4.03 GFG
Tirs pour
704
24.28 Avg
Pourcentage en avantage numérique
37.1%
33 GF
Début de zone offensive
35.4%
Buts contre
102
3.52 GAA
Tirs contre
753
25.97 Avg
Pourcentage en désavantage numérique
69.4%%
22 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralYvon Bergeron
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance5,778
Billets de saison600


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 50
Espoirs26


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
1Sonny MilanoXX100.006041807377787970406466636984740506802812,600,000$
2Brett MurrayX100.00684468637467656444626262635450050620263650,000$
3Arshdeep Bains (R)X100.00634270686265636444655765635250050620231816,667$
4Nolan Foote (R)XX100.005942716671706465436160576464520506102321,000,000$
5Adam Sýkora (R)X100.00564074655960586343615552615050050580202806,667$
6Anton Wahlberg (R)X100.00634068626458576154605759605050050580193833,333$
7Marcel Marcel (R)XXX100.00694365587559565741545259565050050570202620,000$
8Bryce McConnell-Barker (R)X100.00614264626261605841555558585050050570203838,333$
9Samuel Savoie (R)X100.00584167596262616042595554585050050570203846,667$
10Mikhail Abramov (R)X100.00524370685859585848565253605150050560231809,444$
11Nico Myatovic (R)X100.00604171636458555841535453595050050560192896,667$
12Ilya Usau (R)X100.00574170646357565554514956575050050550231897,500$
13Kale ClagueX100.005544677062706766406360666565510506302611,700,000$
14Isaiah George (R)X100.00574074697575626540626164655150050630203838,333$
15Simon Lundmark (R)X100.00574271626565646140565555605250050580231850,833$
16Michael Buchinger (R)X100.00574264626161595840555558585050050570203838,333$
17Evan Nause (R)X100.00584062626354525339515061565050050560212864,167$
Rayé
1Danny Zhilkin (R)X100.00594171606561595853535351575050050550202803,333$
2Gleb Trikozov (R)X100.00614066606255535640545455575050050550203862,500$
3Roby Jarventie (R)X100.00574161576053525441535253545050050530221894,167$
4Aidan Hreschuk (R)X100.00434343434343434343434343434343050440213750,000$
MOYENNE D’ÉQUIPE100.0059426763646159594357555759535105058
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
1Spencer Martin100.0078757670767574737577688064050690292650,000$
2Carter Gylander (R)100.0063575764626161596261565150050560232620,000$
Rayé
1Tristan Lennox (R)100.0059575764595756545859545050050530213867,500$
2Evan Gardner (R)100.0059575761585555545458545050050520183870,833$
3Dominic Basse (R)100.0039615578354037373435355442050420231620,000$
MOYENNE D’ÉQUIPE100.006061606758585755575853575105054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Brett MurrayFirebirds (SEA)LW2818264410100634389285820.22%2066323.717121919590001503049.68%1572725011.3300000623
2Nolan FooteFirebirds (SEA)LW/RW28182644121810353483245121.69%1660421.596101616580001242150.00%381315001.4600200244
3Anton WahlbergFirebirds (SEA)C2813284113200435054193424.07%859221.17314178590003212249.28%627710001.3800000431
4Samuel SavoieFirebirds (SEA)LW2891120-760393237143724.32%1250818.17213244000002047.62%21810000.7900000010
5Travis DermottSeattleD249918-119513285291417.31%2554022.537291357000245110%01325010.6700001021
6Arshdeep BainsFirebirds (SEA)LW2851217-1211540318119386.17%1754019.302358450007520060.00%201716000.6300001000
7Bryce McConnell-BarkerFirebirds (SEA)C288715313535273062026.67%1043715.6200017000070047.24%163515000.6900010131
8Adam SýkoraFirebirds (SEA)LW285914-16032325117309.80%1143415.53000010001211054.55%11910000.6400000101
9Marcel MarcelFirebirds (SEA)C/LW/RW284812-9311553333141412.90%1154519.48044242000100046.50%20038000.4400210000
10Mikhail AbramovFirebirds (SEA)C287411011525333691719.44%344315.8300000000002047.22%10887000.5000001101
11Isaiah GeorgeFirebirds (SEA)D28369-46016262951010.34%2153219.0010132900012700100.00%2417000.3400000000
12Kale ClagueFirebirds (SEA)D28178-31151524221264.55%3053018.95011229000026000%0617000.3000001001
13Michael BuchingerFirebirds (SEA)D2813414051071414.29%1037013.2400000000112010%0215000.2200000001
14Simon LundmarkFirebirds (SEA)D2803357510128450%1441714.900000200001000%0211000.1400001000
15Evan NauseFirebirds (SEA)D28033120391010%42318.2600005000050050.00%214000.2600000000
16Nico MyatovicFirebirds (SEA)LW28202-26016741450.00%22107.530000120001180044.87%7843000.1900000000
Statistiques d’équipe totales ou en moyenne44410316226561815544343161517234316.75%214760417.13284775744560001931313548.56%1427129208020.7000425151514
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
1Spencer MartinFirebirds (SEA)28131040.8743.22158600856753382000280001
2Carter GylanderFirebirds (SEA)41000.7846.60100001151221000028000
Statistiques d’équipe totales ou en moyenne32141040.8683.41168700967263603002828001


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
Adam SýkoraFirebirds (SEA)LW202004-09-07SLVYes172 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm806,667$0$0$No806,667$--------806,667$--------No--------Lien
Aidan HreschukFirebirds (SEA)D212003-02-19U.SYes178 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Anton WahlbergFirebirds (SEA)C192005-07-04SWEYes198 Lbs6 ft4NoNoDraftNoNo32025-07-10FalseFalsePro & Farm833,333$0$0$No833,333$833,333$-------833,333$833,333$-------NoNo-------Lien
Arshdeep BainsFirebirds (SEA)LW232001-01-09CANYes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm816,667$0$0$No---------------------------Lien
Brett MurrayFirebirds (SEA)LW261998-07-20CANNo227 Lbs6 ft5NoNoFree AgentYesYes32025-08-28FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Bryce McConnell-BarkerFirebirds (SEA)C202004-06-04CANYes187 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Carter GylanderFirebirds (SEA)G232001-06-05CANYes190 Lbs6 ft5NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Danny ZhilkinFirebirds (SEA)C202003-12-19CANYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm803,333$0$0$No803,333$--------803,333$--------No--------Lien
Dominic BasseFirebirds (SEA)G232001-04-21USAYes181 Lbs6 ft6NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Evan GardnerFirebirds (SEA)G182006-06-25CANYes174 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm870,833$0$0$No870,833$870,833$-------870,833$870,833$-------NoNo-------Lien
Evan NauseFirebirds (SEA)D212003-01-20CANYes186 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm864,167$0$0$No864,167$--------864,167$--------No--------Lien
Gleb TrikozovFirebirds (SEA)LW202004-08-12RUSYes192 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm862,500$0$0$No862,500$862,500$-------862,500$862,500$-------NoNo-------Lien
Ilya UsauFirebirds (SEA)C232001-08-03BELYes189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm897,500$0$0$No---------------------------Lien
Isaiah GeorgeFirebirds (SEA)D202004-02-15CANYes196 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Kale ClagueFirebirds (SEA)D261998-06-05CANNo176 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Marcel MarcelFirebirds (SEA)C/LW/RW202003-10-31CZEYes243 Lbs6 ft4NoNoDraftNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Michael BuchingerFirebirds (SEA)D202004-04-25CANYes181 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Mikhail AbramovFirebirds (SEA)C232001-03-26RUSYes172 Lbs6 ft0NoNoTrade2024-09-24NoNo1FalseFalsePro & Farm809,444$0$0$No---------------------------Lien
Nico MyatovicFirebirds (SEA)LW192004-12-01CANYes181 Lbs6 ft3NoNoDraftNoNo22024-06-25FalseFalsePro & Farm896,667$0$0$No896,667$--------896,667$--------No--------Lien
Nolan FooteFirebirds (SEA)LW/RW232000-11-29CANYes196 Lbs6 ft3NoNoFree AgentNoNo22024-08-31FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Roby JarventieFirebirds (SEA)LW222002-08-08FINYes209 Lbs6 ft3NoNoTrade2024-03-07NoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
Samuel SavoieFirebirds (SEA)LW202004-03-25CANYes203 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------846,667$846,667$-------NoNo-------Lien
Simon LundmarkFirebirds (SEA)D232000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Sonny Milano (contrat à 1 volet)Firebirds (SEA)LW/RW281996-05-12USANo194 Lbs6 ft0NoNoTrade2024-09-14YesYes12024-09-06FalseFalsePro & Farm2,600,000$1,680,000$1,096,788$No---------------------------Lien
Spencer MartinFirebirds (SEA)G291995-06-08CANNo192 Lbs6 ft3NoNoFree AgentYesYes22024-09-06FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Tristan LennoxFirebirds (SEA)G212002-10-21CANYes187 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.96192 Lbs6 ft22.08909,434$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett MurrayAnton WahlbergNolan Foote40122
2Arshdeep BainsMarcel MarcelSamuel Savoie30122
3Adam SýkoraBryce McConnell-BarkerMikhail Abramov20122
4Samuel SavoieMikhail AbramovBrett Murray10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Isaiah GeorgeKale Clague30122
3Simon LundmarkMichael Buchinger20122
4Evan Nause10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett MurrayAnton WahlbergNolan Foote60122
2Arshdeep BainsMarcel MarcelSamuel Savoie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Isaiah GeorgeKale Clague40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett MurrayArshdeep Bains60122
2Nolan FooteAdam Sýkora40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Isaiah GeorgeKale Clague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Murray6012260122
2Arshdeep Bains40122Isaiah GeorgeKale Clague40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett MurrayArshdeep Bains60122
2Nolan FooteAdam Sýkora40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Isaiah GeorgeKale Clague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayAnton WahlbergNolan Foote
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayAnton WahlbergNolan Foote
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nico Myatovic, Bryce McConnell-Barker, Anton WahlbergNico Myatovic, Bryce McConnell-BarkerAnton Wahlberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Lundmark, Michael Buchinger, Evan NauseSimon LundmarkMichael Buchinger, Evan Nause
Tirs de pénalité
Brett Murray, Arshdeep Bains, Nolan Foote, Adam Sýkora, Anton Wahlberg
Gardien
#1 : Spencer Martin, #2 : Carter Gylander


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
1Admirals11000000862110000008620000000000021.0008162400234252033163229310227101583133.33%5260.00%225252448.09%25252947.64%21142949.18%541241576283631330
2Baby Hawks20200000710-31010000045-11010000035-200.00071118002342520501632293102662614333133.33%7271.43%025252448.09%25252947.64%21142949.18%541241576283631330
3Bears11000000321000000000001100000032121.0003360023425202916322931022691124000%3233.33%025252448.09%25252947.64%21142949.18%541241576283631330
4Chiefs1010000026-4000000000001010000026-400.000246002342520231632293102202424200.00%2150.00%025252448.09%25252947.64%21142949.18%541241576283631330
5Cougars220000001349110000006241100000072541.000132134002342520381632293102382218338337.50%40100.00%025252448.09%25252947.64%21142949.18%541241576283631330
6Las Vegas11000000523110000005230000000000021.000571200234252020163229310220922233100.00%10100.00%025252448.09%25252947.64%21142949.18%541241576283631330
7Manchots11000000615000000000001100000061521.000610160023425203216322931022676208562.50%30100.00%025252448.09%25252947.64%21142949.18%541241576283631330
8Marlies11000000615000000000001100000061521.00061016002342520291632293102206131111100.00%40100.00%025252448.09%25252947.64%21142949.18%541241576283631330
9Minnesota1010000038-51010000038-50000000000000.00034700234252035163229310229716173133.33%3233.33%025252448.09%25252947.64%21142949.18%541241576283631330
10Monarchs11000000523110000005230000000000021.00051015002342520181632293102276414200.00%2150.00%025252448.09%25252947.64%21142949.18%541241576283631330
11Monsters1000010034-11000010034-10000000000010.5003580023425202416322931022958104125.00%4175.00%025252448.09%25252947.64%21142949.18%541241576283631330
12Oceanics21000100121111000010056-11100000075230.750122234002342520581632293102682619427114.29%220.00%025252448.09%25252947.64%21142949.18%541241576283631330
13Oil Kings3120000067-12020000015-41100000052320.33361016002342520451632293102551327467114.29%6183.33%025252448.09%25252947.64%21142949.18%541241576283631330
14Phantoms11000000312000000000001100000031221.000358002342520241632293102218512200.00%000%025252448.09%25252947.64%21142949.18%541241576283631330
15Roadrunners11000000541000000000001100000054121.00059140023425203316322931023578118450.00%4175.00%025252448.09%25252947.64%21142949.18%541241576283631330
16Rocket20100100911-21010000012-11000010089-110.25091726002342520621632293102561110299333.33%5180.00%025252448.09%25252947.64%21142949.18%541241576283631330
17Sags2010010037-42010010037-40000000000010.25035800234252031163229310241248343133.33%4175.00%025252448.09%25252947.64%21142949.18%541241576283631330
18Senators11000000853000000000001100000085321.00081119002342520451632293102271282033100.00%4250.00%025252448.09%25252947.64%21142949.18%541241576283631330
19Sound Tigers11000000321000000000001100000032121.00034700234252017163229310234194223133.33%2150.00%025252448.09%25252947.64%21142949.18%541241576283631330
20Stars211000005411010000012-11100000042220.5005914002342520331632293102561210296233.33%5260.00%025252448.09%25252947.64%21142949.18%541241576283631330
21Wolf Pack1010000024-21010000024-20000000000000.0002460023425202516322931023269184125.00%20100.00%025252448.09%25252947.64%21142949.18%541241576283631330
Total29151000400117102151548003004755-81411200100704723340.5861171973140023425207041632293102753247219479893337.08%722269.44%225252448.09%25252947.64%21142949.18%541241576283631330
_Since Last GM Reset29151000400117102151548003004755-81411200100704723340.5861171973140023425207041632293102753247219479893337.08%722269.44%225252448.09%25252947.64%21142949.18%541241576283631330
_Vs Conference1458001005052-2826000002126-56320010029263110.39350831330023425203061632293102340102101233411434.15%33972.73%025252448.09%25252947.64%21142949.18%541241576283631330
_Vs Division834000002724372200000222201120000052360.3752748750023425201471632293102170625612418633.33%18572.22%225252448.09%25252947.64%21142949.18%541241576283631330

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2934W211719731470475324721947900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2915100400117102
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
154803004755
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1411201007047
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
893337.08%722269.44%2
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
16322931022342520
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
25252448.09%25252947.64%21142949.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
541241576283631330


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 - 2025-10-0921Admirals6Firebirds8WSommaire du match
5 - 2025-10-1137Las Vegas2Firebirds5WSommaire du match
8 - 2025-10-1450Firebirds8Rocket9LXSommaire du match
10 - 2025-10-1663Firebirds8Senators5WSommaire du match
12 - 2025-10-1879Firebirds6Marlies1WSommaire du match
14 - 2025-10-2094Firebirds3Phantoms1WSommaire du match
15 - 2025-10-21102Firebirds3Bears2WSommaire du match
17 - 2025-10-23120Firebirds7Oceanics5WSommaire du match
19 - 2025-10-25139Oil Kings1Firebirds0LSommaire du match
22 - 2025-10-28164Rocket2Firebirds1LSommaire du match
26 - 2025-11-01193Wolf Pack4Firebirds2LSommaire du match
28 - 2025-11-03202Baby Hawks5Firebirds4LSommaire du match
30 - 2025-11-05217Sags3Firebirds2LXSommaire du match
33 - 2025-11-08239Firebirds2Chiefs6LSommaire du match
34 - 2025-11-09248Firebirds4Stars2WSommaire du match
36 - 2025-11-11264Monsters4Firebirds3LXSommaire du match
38 - 2025-11-13278Oceanics6Firebirds5LXSommaire du match
40 - 2025-11-15295Sags4Firebirds1LSommaire du match
43 - 2025-11-18308Firebirds7Cougars2WSommaire du match
45 - 2025-11-20325Firebirds3Baby Hawks5LSommaire du match
47 - 2025-11-22340Firebirds6Manchots1WSommaire du match
48 - 2025-11-23349Firebirds3Sound Tigers2WSommaire du match
51 - 2025-11-26375Stars2Firebirds1LSommaire du match
54 - 2025-11-29393Oil Kings4Firebirds1LSommaire du match
59 - 2025-12-04434Firebirds5Oil Kings2WSommaire du match
61 - 2025-12-06452Cougars2Firebirds6WSommaire du match
63 - 2025-12-08465Minnesota8Firebirds3LSommaire du match
65 - 2025-12-10479Monarchs2Firebirds5WSommaire du match
67 - 2025-12-12494Firebirds5Roadrunners4WSommaire du match
69 - 2025-12-14513Crunch-Firebirds-
71 - 2025-12-16528Monsters-Firebirds-
73 - 2025-12-18542Firebirds-Heat-
75 - 2025-12-20561Firebirds-Sags-
77 - 2025-12-22573Firebirds-Admirals-
78 - 2025-12-23587Firebirds-Monarchs-
83 - 2025-12-28605Phantoms-Firebirds-
84 - 2025-12-29616Comets-Firebirds-
87 - 2026-01-01638Jayhawks-Firebirds-
88 - 2026-01-02642Firebirds-Comets-
91 - 2026-01-05665Firebirds-Heat-
92 - 2026-01-06676Bruins-Firebirds-
94 - 2026-01-08693Minnesota-Firebirds-
96 - 2026-01-10706Firebirds-Caroline-
98 - 2026-01-12718Firebirds-Wolf Pack-
100 - 2026-01-14735Firebirds-Spiders-
101 - 2026-01-15739Firebirds-Bruins-
103 - 2026-01-17757Firebirds-Roadrunners-
105 - 2026-01-19772Manchots-Firebirds-
107 - 2026-01-21793Sound Tigers-Firebirds-
109 - 2026-01-23809Admirals-Firebirds-
111 - 2026-01-25820Spiders-Firebirds-
113 - 2026-01-27839Bears-Firebirds-
115 - 2026-01-29857Marlies-Firebirds-
117 - 2026-01-31872Firebirds-Las Vegas-
120 - 2026-02-03892Firebirds-Admirals-
121 - 2026-02-04902Firebirds-Monarchs-
142 - 2026-02-25913Firebirds-Stars-
143 - 2026-02-26925Firebirds-Chiefs-
145 - 2026-02-28946Comets-Firebirds-
147 - 2026-03-02957Caroline-Firebirds-
149 - 2026-03-04974Chiefs-Firebirds-
152 - 2026-03-071000Senators-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101024Jayhawks-Firebirds-
157 - 2026-03-121040Monsters-Firebirds-
159 - 2026-03-141055Firebirds-Comets-
160 - 2026-03-151062Cabaret Lady Mary Ann-Firebirds-
162 - 2026-03-171076Thunder-Firebirds-
164 - 2026-03-191087Firebirds-Jayhawks-
166 - 2026-03-211104Firebirds-Monsters-
169 - 2026-03-241123Firebirds-Cabaret Lady Mary Ann-
171 - 2026-03-261139Firebirds-Thunder-
173 - 2026-03-281159Firebirds-Crunch-
176 - 2026-03-311187Firebirds-Oil Kings-
178 - 2026-04-021203Roadrunners-Firebirds-
180 - 2026-04-041221Baby Hawks-Firebirds-
182 - 2026-04-061230Firebirds-Oceanics-
183 - 2026-04-071240Firebirds-Minnesota-
185 - 2026-04-091259Las Vegas-Firebirds-
187 - 2026-04-111273Heat-Firebirds-
189 - 2026-04-131291Monarchs-Firebirds-
191 - 2026-04-151306Firebirds-Las Vegas-
192 - 2026-04-161312Firebirds-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets3515
Assistance57,95028,718
Assistance PCT96.58%95.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-12 5778 - 96.30% 196,722$2,950,824$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
755,468$ 2,104,527$ 2,104,527$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,904$ 755,468$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,114,762$ 126 10,904$ 1,373,904$




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