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

Firebirds
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 49 | GA: 34 | PP%: 44.44% | PK%: 65.22%
DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #193 vs Wolf Pack

Centre de jeu
Oil Kings
5-4-2, 12pts
1
FINAL
0 Firebirds
7-2-1, 15pts
Team Stats
L1SéquenceL2
2-2-0Fiche domicile2-2-0
3-2-2Fiche domicile5-0-1
4-4-2Derniers 10 matchs7-2-1
3.64Buts par match 4.90
3.09Buts contre par match 3.40
32.14%Pourcentage en avantage numérique44.44%
80.95%Pourcentage en désavantage numérique65.22%
Rocket
5-6-0, 10pts
2
FINAL
1 Firebirds
7-2-1, 15pts
Team Stats
W2SéquenceL2
2-2-0Fiche domicile2-2-0
3-4-0Fiche domicile5-0-1
5-5-0Derniers 10 matchs7-2-1
4.45Buts par match 4.90
6.36Buts contre par match 3.40
27.27%Pourcentage en avantage numérique44.44%
55.00%Pourcentage en désavantage numérique65.22%
Wolf Pack
7-4-0, 14pts
2025-11-01
Firebirds
7-2-1, 15pts
Statistiques d’équipe
L1SéquenceL2
2-3-0Fiche domicile2-2-0
5-1-0Fiche visiteur5-0-1
7-3-010 derniers matchs7-2-1
4.36Buts par match 4.90
2.82Buts contre par match 4.90
37.84%Pourcentage en avantage numérique44.44%
80.95%Pourcentage en désavantage numérique65.22%
Baby Hawks
8-1-1, 17pts
2025-11-03
Firebirds
7-2-1, 15pts
Statistiques d’équipe
W1SéquenceL2
5-1-0Fiche domicile2-2-0
3-0-1Fiche visiteur5-0-1
8-1-110 derniers matchs7-2-1
4.80Buts par match 4.90
3.00Buts contre par match 4.90
23.81%Pourcentage en avantage numérique44.44%
80.95%Pourcentage en désavantage numérique65.22%
Sags
7-3-0, 14pts
2025-11-05
Firebirds
7-2-1, 15pts
Statistiques d’équipe
W2SéquenceL2
4-1-0Fiche domicile2-2-0
3-2-0Fiche visiteur5-0-1
7-3-010 derniers matchs7-2-1
5.30Buts par match 4.90
4.40Buts contre par match 4.90
33.33%Pourcentage en avantage numérique44.44%
65.22%Pourcentage en désavantage numérique65.22%
Meneurs d'équipe
Buts
Nolan Foote
9
Passes
Torey Krug
13
Points
Brett Murray
17
Plus/Moins
Brett Murray
11
Victoires
Spencer Martin
5
Pourcentage d’arrêts
Spencer Martin
0.876

Statistiques d’équipe
Buts pour
49
4.90 GFG
Tirs pour
282
28.20 Avg
Pourcentage en avantage numérique
44.4%
12 GF
Début de zone offensive
34.8%
Buts contre
34
3.40 GAA
Tirs contre
244
24.40 Avg
Pourcentage en désavantage numérique
65.2%%
8 GA
Début de la zone défensive
32.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité6,000
Assistance5,794
Billets de saison600


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 50
Espoirs27


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
1Brett MurrayX100.00684468637467656444626262635450050620263650,000$
2Arshdeep Bains (R)X100.00634270686265636444655765635250050620231816,667$
3Nolan Foote (R)XX100.005942716671706465436160576464520506102321,000,000$
4Adam Sýkora (R)X100.00564074655960586343615552615050050580202806,667$
5Anton Wahlberg (R)X100.00634068626458576154605759605050050580193833,333$
6Marcel Marcel (R)XXX100.00694365587559565741545259565050050570202620,000$
7Bryce McConnell-Barker (R)X100.00614264626261605841555558585050050570203838,333$
8Samuel Savoie (R)X100.00584167596262616042595554585050050570203846,667$
9Mikhail Abramov (R)X100.00524370685859585848565253605150050560231809,444$
10Nico Myatovic (R)X100.00604171636458555841535453595050050560192896,667$
11Torey KrugX100.006242686665798275407159676788750506803314,000,000$
12Travis DermottX100.00584076738083766740626169677969050680271800,000$
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
1Sonny MilanoXX100.006041807377787970406466636984740506802812,600,000$
2Ilya Usau (R)X100.00574170646357565554514956575050050550231897,500$
3Danny Zhilkin (R)X100.00594171606561595853535351575050050550202803,333$
4Gleb Trikozov (R)X100.00614066606255535640545455575050050550203862,500$
5Roby Jarventie (R)X100.00574161576053525441535253545050050530221894,167$
6Aidan Hreschuk (R)X100.00434343434343434343434343434343050440213750,000$
MOYENNE D’ÉQUIPE100.0059426863656361604358565860565305059
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)LW961117110029830132020.00%321223.632685170001130046.81%47149011.6000000311
2Torey KrugFirebirds (SEA)D9213159951519286117.14%624126.84156417000015100%0311001.2400010100
3Nolan FooteFirebirds (SEA)LW/RW9961587511103391027.27%619521.71314416000171146.15%1369001.5400100023
4Anton WahlbergFirebirds (SEA)C95101510801314158833.33%018820.90145217000031152.02%19834001.6000000301
5Travis DermottFirebirds (SEA)D95491120414235521.74%920723.08314319000015110%0210010.8700000020
6Bryce McConnell-BarkerFirebirds (SEA)C94484201381021040.00%413915.5100001000030062.50%4847001.1500000011
7Adam SýkoraFirebirds (SEA)LW9257100711214129.52%314115.7400000000171066.67%361000.9900000001
8Samuel SavoieFirebirds (SEA)LW9415-34011101371230.77%416818.75000012000000062.50%823000.5900000010
9Mikhail AbramovFirebirds (SEA)C9314420812122825.00%114416.0900000000001054.35%4661000.5500000100
10Arshdeep BainsFirebirds (SEA)LW9134-555146329173.13%417419.371014120004140075.00%846000.4600001000
11Marcel MarcelFirebirds (SEA)C/LW/RW9033-41151966130%115617.39011111000100044.09%9314000.3800010000
12Isaiah GeorgeFirebirds (SEA)D9033-3004912200%918020.01000112000110000%019000.3300000000
13Kale ClagueFirebirds (SEA)D9022-395446630%817919.9000001100009000%0210000.2200001000
14Evan NauseFirebirds (SEA)D9011-320110000%1606.690000100001000%012000.3300000000
15Simon LundmarkFirebirds (SEA)D9000200124200%512013.360000100000000%00500000000000
16Nico MyatovicFirebirds (SEA)LW9000100510010%2525.8500003000050050.00%40200000000000
17Michael BuchingerFirebirds (SEA)D9000100124010%512013.430000000013000%01400000000000
Statistiques d’équipe totales ou en moyenne15341671084161251601372497612116.47%71268417.5411182924155000101136351.71%4685697020.8000122877
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)95210.8762.85485002318589000090000
2Carter GylanderFirebirds (SEA)21000.8445.26570053214000009000
Statistiques d’équipe totales ou en moyenne116210.8713.09543002821710300099000


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$1,488,497$No---------------------------Lien
Spencer MartinFirebirds (SEA)G291995-06-08CANNo192 Lbs6 ft3NoNoFree AgentYesYes22024-09-06FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Torey Krug (contrat à 1 volet)Firebirds (SEA)D331991-04-12USANo194 Lbs5 ft9NoNoTrade2024-03-07YesYes1FalseFalsePro & Farm4,000,000$3,722,857$3,298,490$No---------------------------Lien
Travis DermottFirebirds (SEA)D271996-12-22CANNo200 Lbs6 ft0NoNoFree AgentYesYes12025-08-28FalseFalsePro & Farm800,000$0$0$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
2822.54192 Lbs6 ft22.001,015,903$



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
1Torey KrugTravis Dermott40122
2Isaiah GeorgeKale Clague30122
3Simon LundmarkMichael Buchinger20122
4Evan NauseTorey Krug10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett MurrayAnton WahlbergNolan Foote60122
2Arshdeep BainsMarcel MarcelSamuel Savoie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Torey KrugTravis Dermott60122
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
1Torey KrugTravis Dermott60122
2Isaiah GeorgeKale Clague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Murray60122Torey KrugTravis Dermott60122
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
1Torey KrugTravis Dermott60122
2Isaiah GeorgeKale Clague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayAnton WahlbergNolan FooteTorey KrugTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayAnton WahlbergNolan FooteTorey KrugTravis Dermott
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
1Admirals11000000862110000008620000000000021.00081624007182403351112117227101583133.33%5260.00%29218250.55%8617150.29%8617050.59%1959420190206113
2Bears11000000321000000000001100000032121.00033600718240295111211722691124000%3233.33%09218250.55%8617150.29%8617050.59%1959420190206113
3Las Vegas11000000523110000005230000000000021.0005712007182402051112117220922233100.00%10100.00%09218250.55%8617150.29%8617050.59%1959420190206113
4Marlies11000000615000000000001100000061521.000610160071824029511121172206131111100.00%40100.00%09218250.55%8617150.29%8617050.59%1959420190206113
5Oceanics11000000752000000000001100000075221.000714210071824030511121172321412213133.33%110.00%09218250.55%8617150.29%8617050.59%1959420190206113
6Oil Kings1010000001-11010000001-10000000000000.0000000071824010511121172152021300.00%000%09218250.55%8617150.29%8617050.59%1959420190206113
7Phantoms11000000312000000000001100000031221.0003580071824024511121172218512200.00%000%09218250.55%8617150.29%8617050.59%1959420190206113
8Rocket20100100911-21010000012-11000010089-110.250917260071824062511121172561110299333.33%5180.00%09218250.55%8617150.29%8617050.59%1959420190206113
9Senators11000000853000000000001100000085321.000811190071824045511121172271282033100.00%4250.00%09218250.55%8617150.29%8617050.59%1959420190206113
Total107200100493415422000001411365000100352312150.7504983132007182402825111211722448176168271244.44%23865.22%29218250.55%8617150.29%8617050.59%1959420190206113
_Since Last GM Reset107200100493415422000001411365000100352312150.7504983132007182402825111211722448176168271244.44%23865.22%29218250.55%8617150.29%8617050.59%1959420190206113
_Vs Conference4120010014140312000006511000010089-130.37514243800718240925111211729122127215640.00%6183.33%09218250.55%8617150.29%8617050.59%1959420190206113
_Vs Division3100000013943100000013940000000000020.3331323360071824063511121172622117519444.44%6266.67%29218250.55%8617150.29%8617050.59%1959420190206113

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1015L24983132282244817616800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107201004934
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001411
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
65001003523
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
271244.44%23865.22%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
511121172718240
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
9218250.55%8617150.29%8617050.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1959420190206113


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 Pack-Firebirds-
28 - 2025-11-03202Baby Hawks-Firebirds-
30 - 2025-11-05217Sags-Firebirds-
33 - 2025-11-08239Firebirds-Chiefs-
34 - 2025-11-09248Firebirds-Stars-
36 - 2025-11-11264Monsters-Firebirds-
38 - 2025-11-13278Oceanics-Firebirds-
40 - 2025-11-15295Sags-Firebirds-
43 - 2025-11-18308Firebirds-Cougars-
45 - 2025-11-20325Firebirds-Baby Hawks-
47 - 2025-11-22340Firebirds-Manchots-
48 - 2025-11-23349Firebirds-Sound Tigers-
51 - 2025-11-26375Stars-Firebirds-
54 - 2025-11-29393Oil Kings-Firebirds-
59 - 2025-12-04434Firebirds-Oil Kings-
61 - 2025-12-06452Cougars-Firebirds-
63 - 2025-12-08465Minnesota-Firebirds-
65 - 2025-12-10479Monarchs-Firebirds-
67 - 2025-12-12494Firebirds-Roadrunners-
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
Assistance15,3307,846
Assistance PCT95.81%98.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 5794 - 96.57% 196,272$785,088$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
249,018$ 2,184,527$ 2,184,527$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,319$ 249,018$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,262,064$ 171 11,319$ 1,935,549$




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