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Firebirds
GP: 17 | W: 14 | L: 3
GF: 94 | GA: 59 | PP%: 44.90% | PK%: 69.57%
DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #103 vs Oceanics

Centre de jeu
Firebirds
14-3-0, 28pts
1
FINAL
3 Oceanics
14-7-0, 28pts
Team Stats
W1SéquenceL1
8-1-0Fiche domicile9-2-0
6-2-0Fiche domicile5-5-0
8-1-1Derniers 10 matchs5-5-0
5.53Buts par match 4.67
3.47Buts contre par match 4.33
44.90%Pourcentage en avantage numérique32.76%
69.57%Pourcentage en désavantage numérique70.83%
Firebirds
14-3-0, 28pts
8
FINAL
6 Oceanics
14-7-0, 28pts
Team Stats
W1SéquenceL1
8-1-0Fiche domicile9-2-0
6-2-0Fiche domicile5-5-0
8-1-1Derniers 10 matchs5-5-0
5.53Buts par match 4.67
3.47Buts contre par match 4.33
44.90%Pourcentage en avantage numérique32.76%
69.57%Pourcentage en désavantage numérique70.83%
Oceanics
14-7-0, 28pts
2025-06-03
Firebirds
14-3-0, 28pts
Statistiques d’équipe
L1SéquenceW1
9-2-0Fiche domicile8-1-0
5-5-0Fiche visiteur6-2-0
5-5-010 derniers matchs8-1-1
4.67Buts par match 5.53
4.33Buts contre par match 5.53
32.76%Pourcentage en avantage numérique44.90%
70.83%Pourcentage en désavantage numérique69.57%
Firebirds
14-3-0, 28pts
2025-06-04
Oceanics
14-7-0, 28pts
Statistiques d’équipe
W1SéquenceL1
8-1-0Fiche domicile9-2-0
6-2-0Fiche visiteur5-5-0
8-1-110 derniers matchs5-5-0
5.53Buts par match 4.67
3.47Buts contre par match 4.67
44.90%Pourcentage en avantage numérique32.76%
69.57%Pourcentage en désavantage numérique70.83%
Oceanics
14-7-0, 28pts
2025-06-05
Firebirds
14-3-0, 28pts
Statistiques d’équipe
L1SéquenceW1
9-2-0Fiche domicile8-1-0
5-5-0Fiche visiteur6-2-0
5-5-010 derniers matchs8-1-1
4.67Buts par match 5.53
4.33Buts contre par match 5.53
32.76%Pourcentage en avantage numérique44.90%
70.83%Pourcentage en désavantage numérique69.57%
Meneurs d'équipe
Buts
Jansen Harkins
13
Passes
Mikhail Abramov
18
Points
Jansen Harkins
29
Plus/Moins
Nolan Foote
16
Victoires
Spencer Martin
14
Pourcentage d’arrêts
Spencer Martin
0.895

Statistiques d’équipe
Buts pour
94
5.53 GFG
Tirs pour
572
33.65 Avg
Pourcentage en avantage numérique
44.9%
22 GF
Début de zone offensive
35.9%
Buts contre
59
3.47 GAA
Tirs contre
548
32.24 Avg
Pourcentage en désavantage numérique
69.6%%
14 GA
Début de la zone défensive
36.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité6,000
Assistance5,996
Billets de saison600


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
Espoirs35


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
1William CarrierX100.007947767385838174476569697279690507102831,100,000$
2Travis BoydXX100.006344767576827873607067677276660507003012,000,000$
3Jansen HarkinsX100.00754682738078786845646267676858050670261750,000$
4Alex Barre-BouletXX100.00644274746776706959656466696153050660261759,258$
5Radim ZohornaX100.00704772668274706650626165646153050640271792,500$
6Nolan Foote (R)X100.005944727177746665416061616559530506302231,000,000$
7Fredrik KarlstromX100.00634274696568666460615964645450050620251700,000$
8Arshdeep Bains (R)X100.00644169716363636444655965645150050620222816,667$
9Brett MurrayX100.00675065607466646343616056615350050600251775,000$
10Mikhail Abramov (R)X100.00554371695864636249615654635150050590222809,444$
11Roby Jarventie (R)X100.00644368656758566142585657605050050580212894,167$
12Haydn FleuryX100.006446787285847768406362716776660507002711,000,000$
13Travis DermottX100.00634177748186796840646373697666050700261800,000$
14Kale ClagueX100.005746666968746865406357636358520506302521,700,000$
15Jakub ZborilX100.00604274687074696240605564616154050630261750,000$
16Ryan MurrayX100.005341676272726658405654575785720506103011,000,000$
17Simon Lundmark (R)X100.00614372666664636240575561615150050600222850,833$
Rayé
1Henrik BorgstromX100.00584373647064645948555257595853050580261900,000$
2Adam Sykora (R)XX100.00604070636059586242605656605050050580193806,667$
3Ilya Usau (R)X100.00614171656362615955555357595050050570222897,500$
4Danny Zhilkin (R)X100.00594168616359575946555554585050050560193803,333$
5Marcel Marcel (R)XXX100.00664068587158555740555457565050050560193620,000$
6Nico Myatovic (R)X100.00614067626356545640545455575050050560183896,667$
7Olli JuoleviX100.00524370666762575739545058595550050580253850,000$
8Evan Nause (R)X100.00624063636359575640555462585050050580203864,167$
MOYENNE D’ÉQUIPE100.0062437167706966634560586163595505062
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 Martin100.0081808077817773747681747770050710283650,000$
2Carter Gylander (R)100.004154518037414440383939544605044N0223620,000$
Rayé
1Dominic Basse (R)100.004162577836423839363737544605043N0222620,000$
MOYENNE D’ÉQUIPE100.005465637851535251505250625405053
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
1Jansen HarkinsFirebirds (SEA)LW171316291020273470273618.57%1939523.2935810290004332052.94%119195001.4600000321
2Nolan FooteFirebirds (SEA)LW171117281640362486315012.79%1131118.3300015000391166.67%12234001.8000000114
3Mikhail AbramovFirebirds (SEA)C17101828131715243150173120.00%2436921.7148121025000000048.57%70128001.5200111150
4Radim ZohornaFirebirds (SEA)LW1713142761715272150142826.00%526015.31561116260001113146.15%13148002.0700111301
5Alex Barre-BouletFirebirds (SEA)LW/RW1711142542210252366203316.67%1639323.1335810310001272060.71%28166001.2700020221
6Henrik BorgstromFirebirds (SEA)C1310102011120151855234018.18%323918.42000000000102053.57%8433011.6700000202
7Fredrik KarlstromFirebirds (SEA)C1731518615519262472012.50%832218.97145530000010155.99%43478001.1200100010
8Kale ClagueFirebirds (SEA)D17281052010102222499.09%2033119.51000040000400100.00%2611000.6000002001
9Ryan MurrayFirebirds (SEA)D17088722108139170%1933819.89000000000000100.00%135000.4700110000
10Arshdeep BainsFirebirds (SEA)LW17358500121417101317.65%71649.7000001000021033.33%1214000.9700000000
11Haydn FleuryFirebirds (SEA)D425772065112618.18%411428.591011700007010%026001.2200000000
12William CarrierFirebirds (SEA)LW4257000561471314.29%89924.9300027000080042.86%3521001.4000000010
13Travis BoydFirebirds (SEA)C/RW4437020962141419.05%69924.8801107000081053.78%11921011.4100000100
14Jakub ZborilFirebirds (SEA)D17044700151011530%1125214.880001400006000%033000.3200000000
15Simon LundmarkFirebirds (SEA)D170334404110220%519111.250000000004000%004000.3100000000
16Travis DermottFirebirds (SEA)D40227403911450%411228.180002700006000%055000.3500000000
17Brett MurrayFirebirds (SEA)LW1700026091120280%11569.2100012000090041.30%921200000000000
18Roby JarventieFirebirds (SEA)LW4000000000000%020.710000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne237841472311101496525428453718031815.64%171415617.5417294659191000915212452.89%102111984021.1100454131210
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)1714210.8953.3699900565342671000170010
2Carter GylanderFirebirds (SEA)10000.7866.92260031480000017000
Statistiques d’équipe totales ou en moyenne1814210.8923.45102500595482751001717010


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 SykoraFirebirds (SEA)LW/RW192004-09-07SLVYes179 Lbs5 ft10NoNoProspectNoNo32024-06-25FalseFalsePro & Farm806,667$0$0$No806,667$806,667$-------806,667$806,667$-------NoNo-------Lien
Alex Barre-BouletFirebirds (SEA)LW/RW261997-05-21CANNo178 Lbs5 ft10NoNoN/AYesNo1FalseFalsePro & Farm759,258$0$0$No---------------------------Lien
Arshdeep BainsFirebirds (SEA)LW222001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm816,667$0$0$No816,667$--------816,667$--------No--------Lien
Brett MurrayFirebirds (SEA)LW251998-07-20CANNo235 Lbs6 ft5NoNoN/AYesNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Carter GylanderFirebirds (SEA)G222001-06-05CANYes185 Lbs6 ft5YesNoFree AgentNoNo32024-09-23FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------YesYes-------Lien
Danny ZhilkinFirebirds (SEA)C192003-12-19RUSYes196 Lbs6 ft1NoNoProspectNoNo32024-06-25FalseFalsePro & Farm803,333$0$0$No803,333$803,333$-------803,333$803,333$-------NoNo-------Lien
Dominic BasseFirebirds (SEA)G222001-04-21USAYes181 Lbs6 ft6YesNoFree AgentNoNo22024-09-23FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------Yes--------Lien
Evan NauseFirebirds (SEA)D202003-01-20CANYes186 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm864,167$0$0$No864,167$864,167$-------864,167$864,167$-------NoNo-------Lien
Fredrik KarlstromFirebirds (SEA)C251998-01-12SWENo196 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Haydn FleuryFirebirds (SEA)D271996-07-08CANNo207 Lbs6 ft4NoNoN/AYesNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Henrik BorgstromFirebirds (SEA)C261997-08-06FINNo198 Lbs6 ft3NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ilya UsauFirebirds (SEA)C222001-08-03BELYes189 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm897,500$0$0$No897,500$--------897,500$--------No--------Lien
Jakub ZborilFirebirds (SEA)D261997-02-21CZENo194 Lbs6 ft0NoNoN/AYesNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jansen HarkinsFirebirds (SEA)LW261997-05-23USANo197 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Kale ClagueFirebirds (SEA)D251998-06-05CANNo186 Lbs6 ft0NoNoN/AYesNo2FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Marcel MarcelFirebirds (SEA)C/LW/RW192003-10-31CZEYes243 Lbs6 ft4NoNoDraftNoNo32024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Mikhail AbramovFirebirds (SEA)C222001-03-26RUSYes172 Lbs6 ft0NoNoTrade2024-09-24NoNo2FalseFalsePro & Farm809,444$0$0$No809,444$--------809,444$--------No--------Lien
Nico MyatovicFirebirds (SEA)LW182004-12-01CANYes187 Lbs6 ft3NoNoDraftNoNo32024-06-25FalseFalsePro & Farm896,667$0$0$No896,667$896,667$-------896,667$896,667$-------NoNo-------Lien
Nolan FooteFirebirds (SEA)LW222000-11-29USAYes196 Lbs6 ft3NoNoFree AgentNoNo32024-08-31FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Olli JuoleviFirebirds (SEA)D251998-05-05FINNo183 Lbs6 ft2NoNoFree AgentYesNo32024-08-31FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Radim ZohornaFirebirds (SEA)LW271996-04-29CZENo220 Lbs6 ft6NoNoN/AYesNo1FalseFalsePro & Farm792,500$0$0$No---------------------------Lien
Roby JarventieFirebirds (SEA)LW212002-08-08FINYes209 Lbs6 ft3NoNoTrade2024-03-07NoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien
Ryan Murray (contrat à 1 volet)Firebirds (SEA)D301993-09-27CANNo206 Lbs6 ft1NoNoN/AYesNo1FalseFalsePro & Farm1,000,000$80,000$4,898$No---------------------------Lien
Simon LundmarkFirebirds (SEA)D222000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm850,833$0$0$No850,833$--------850,833$--------No--------Lien
Spencer MartinFirebirds (SEA)G281995-06-08CANNo191 Lbs6 ft3NoNoFree AgentYesNo32024-09-06FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Travis Boyd (contrat à 1 volet)Firebirds (SEA)C/RW301993-09-14USANo190 Lbs6 ft0NoNoTrade2024-02-26YesNo1FalseFalsePro & Farm2,000,000$1,080,000$66,122$No---------------------------Lien
Travis DermottFirebirds (SEA)D261996-12-22CANNo202 Lbs6 ft0NoNoN/AYesNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
William CarrierFirebirds (SEA)LW281994-12-20CANNo220 Lbs6 ft2NoNoFree AgentYesNo32024-09-06FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.93197 Lbs6 ft21.96893,793$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierTravis BoydAlex Barre-Boulet40122
2Jansen HarkinsFredrik KarlstromNolan Foote30122
3Radim ZohornaMikhail AbramovArshdeep Bains20122
4Nolan FooteWilliam CarrierTravis Boyd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottHaydn Fleury40122
2Jakub ZborilKale Clague30122
3Ryan MurraySimon Lundmark20122
4Travis DermottHaydn Fleury10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierTravis BoydAlex Barre-Boulet60122
2Jansen HarkinsFredrik KarlstromNolan Foote40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottHaydn Fleury60122
2Jakub ZborilKale Clague40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1William CarrierTravis Boyd60122
2Jansen HarkinsAlex Barre-Boulet40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottHaydn Fleury60122
2Jakub ZborilKale Clague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1William Carrier60122Travis DermottHaydn Fleury60122
2Travis Boyd40122Jakub ZborilKale Clague40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1William CarrierTravis Boyd60122
2Jansen HarkinsAlex Barre-Boulet40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottHaydn Fleury60122
2Jakub ZborilKale Clague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierTravis BoydAlex Barre-BouletTravis DermottHaydn Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierTravis BoydAlex Barre-BouletTravis DermottHaydn Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Murray, Roby Jarventie, Radim ZohornaBrett Murray, Roby JarventieRadim Zohorna
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Murray, Simon Lundmark, Jakub ZborilRyan MurraySimon Lundmark, Jakub Zboril
Tirs de pénalité
William Carrier, Travis Boyd, Jansen Harkins, Alex Barre-Boulet, Radim Zohorna
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
1Baby Hawks44000000201462200000095422000000119281.000203151001240402153133221214415245206116637.50%10280.00%020136854.62%18937650.27%15028053.57%346183339161339171
2Caroline4400000031922220000001831522000000136781.0003156870012404021411332212144102496167181055.56%8362.50%020136854.62%18937650.27%15028053.57%346183339161339171
3Heat541000002119233000000149521100000710-380.80021375800124040215513322121441485453778562.50%19763.16%020136854.62%18937650.27%15028053.57%346183339161339171
4Oceanics42200000221752110000013852110000099040.50022386000124040212313322121441465128907114.29%9277.78%020136854.62%18937650.27%15028053.57%346183339161339171
Total1714300000945935981000005425298620000040346280.824941622560012404025721332212144548199162295492244.90%461469.57%020136854.62%18937650.27%15028053.57%346183339161339171
_Since Last GM Reset1714300000945935981000005425298620000040346280.824941622560012404025721332212144548199162295492244.90%461469.57%020136854.62%18937650.27%15028053.57%346183339161339171
_Vs Conference1312100000724230770000004117246510000031256240.923721241960012404024491332212144402148134205422150.00%371267.57%020136854.62%18937650.27%15028053.57%346183339161339171
_Vs Division540000002119232000000149522000000710-380.80021375800124040215513322121441485453778562.50%19763.16%020136854.62%18937650.27%15028053.57%346183339161339171

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1728W19416225657254819916229500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1714300009459
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
98100005425
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200004034
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
492244.90%461469.57%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
13322121441240402
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
20136854.62%18937650.27%15028053.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
346183339161339171


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
2 - 2025-04-195Caroline1Firebirds9WSommaire du match
4 - 2025-04-2113Caroline2Firebirds9WSommaire du match
6 - 2025-04-2321Firebirds8Caroline3WSommaire du match
8 - 2025-04-2529Firebirds5Caroline3WSommaire du match
16 - 2025-05-0359Heat2Firebirds5WSommaire du match
18 - 2025-05-0563Heat3Firebirds4WXSommaire du match
20 - 2025-05-0767Firebirds3Heat7LSommaire du match
22 - 2025-05-0971Firebirds4Heat3WSommaire du match
24 - 2025-05-1175Heat4Firebirds5WXSommaire du match
30 - 2025-05-1786Baby Hawks4Firebirds6WSommaire du match
32 - 2025-05-1988Baby Hawks1Firebirds3WSommaire du match
34 - 2025-05-2190Firebirds4Baby Hawks3WSommaire du match
36 - 2025-05-2392Firebirds7Baby Hawks6WSommaire du match
43 - 2025-05-3099Oceanics5Firebirds4LXSommaire du match
44 - 2025-05-31100Oceanics3Firebirds9WSommaire du match
45 - 2025-06-01101Firebirds1Oceanics3LSommaire du match
46 - 2025-06-02102Firebirds8Oceanics6WSommaire du match
47 - 2025-06-03103Oceanics-Firebirds-
48 - 2025-06-04104Firebirds-Oceanics-
49 - 2025-06-05105Oceanics-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets3515
Assistance36,00017,960
Assistance PCT100.00%99.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 5996 - 99.93% 203,920$1,835,280$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,202,621$ 2,202,621$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$




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