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Firebirds
GP: 36 | W: 19 | L: 17 | OTL: 0 | P: 38
GF: 164 | GA: 163 | PP%: 16.85% | PK%: 80.23%
DG: Ron Giovanni | Morale : 54 | Moyenne d’équipe : 62
Prochains matchs #395 vs Wombats

Centre de jeu
Firebirds
19-17-0, 38pts
2
FINAL
5 Roadrunners
26-8-1, 53pts
Team Stats
L2SéquenceW4
11-6-0Fiche domicile16-2-0
8-11-0Fiche domicile10-6-1
4-6-0Derniers 10 matchs8-2-0
4.56Buts par match 3.83
4.53Buts contre par match 2.74
16.85%Pourcentage en avantage numérique30.12%
80.23%Pourcentage en désavantage numérique86.08%
Firebirds
19-17-0, 38pts
5
FINAL
8 Griffins
20-16-0, 40pts
Team Stats
L2SéquenceW3
11-6-0Fiche domicile10-8-0
8-11-0Fiche domicile10-8-0
4-6-0Derniers 10 matchs7-3-0
4.56Buts par match 5.75
4.53Buts contre par match 5.06
16.85%Pourcentage en avantage numérique20.00%
80.23%Pourcentage en désavantage numérique72.62%
Wombats
14-11-8, 36pts
Jour 79
Firebirds
19-17-0, 38pts
Statistiques d’équipe
W1SéquenceL2
7-8-3Fiche domicile11-6-0
7-3-5Fiche visiteur8-11-0
3-5-210 derniers matchs4-6-0
3.64Buts par match 4.56
3.82Buts contre par match 4.56
20.24%Pourcentage en avantage numérique16.85%
90.57%Pourcentage en désavantage numérique80.23%
Americiens
20-12-1, 41pts
Jour 81
Firebirds
19-17-0, 38pts
Statistiques d’équipe
L1SéquenceL2
11-7-0Fiche domicile11-6-0
9-5-1Fiche visiteur8-11-0
4-6-010 derniers matchs4-6-0
4.88Buts par match 4.56
4.55Buts contre par match 4.56
26.47%Pourcentage en avantage numérique16.85%
73.86%Pourcentage en désavantage numérique80.23%
Firebirds
19-17-0, 38pts
Jour 82
Marlies
21-12-3, 45pts
Statistiques d’équipe
L2SéquenceW2
11-6-0Fiche domicile9-6-2
8-11-0Fiche visiteur12-6-1
4-6-010 derniers matchs7-3-0
4.56Buts par match 4.31
4.53Buts contre par match 4.31
16.85%Pourcentage en avantage numérique26.80%
80.23%Pourcentage en désavantage numérique78.02%
Meneurs d'équipe
Danton HeinenButs
Danton Heinen
8
Michael BuntingPasses
Michael Bunting
8
Danton HeinenPoints
Danton Heinen
13
Josh MahuraPlus/Moins
Josh Mahura
2
Georgi RomanovVictoires
Georgi Romanov
3
Georgi RomanovPourcentage d’arrêts
Georgi Romanov
0.845

Statistiques d’équipe
Buts pour
164
4.56 GFG
Tirs pour
1459
40.53 Avg
Pourcentage en avantage numérique
16.9%
15 GF
Début de zone offensive
42.0%
Buts contre
163
4.53 GAA
Tirs contre
1247
34.64 Avg
Pourcentage en désavantage numérique
80.2%%
17 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralRon Giovanni
EntraîneurPeter DeBoer
DivisionMetropolitan
ConférenceEastern Conference
CapitaineTanner Pearson
Assistant #1Nick Blankenburg
Assistant #2Danton Heinen


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 50
Espoirs17


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
1Eric RobinsonXX99.00755593677671917250656669516969023660304500,000$
2Michael BuntingXX97.00686067786677887250687157516969019660301500,000$
3Danton Heinen (A)XX98.00705989687073897050676070506969057650304500,000$
4Tanner Pearson (C)X100.00735594677470886950646465517471057640332500,000$
5Thomas NovakXXX100.00505495696372716758637060516667056620282500,000$
6Connor DewarXXX100.00816994646869676057615575506266054610262500,000$
7Daniel SprongX100.006854956569685863506150585065650545802821,500,000$
8Valtteri PuustinenX100.00595684626459526350535755516262055560262500,000$
9Mario FerraroX100.00786775637478926650595173566668020660272750,000$
10Nick Blankenburg (A)X100.00665879706175776850635275566669055650272500,000$
11John MarinoX100.00555696637176647250715072556870057640282750,000$
12Timothy LiljegrenX100.00696172677275836850615565566364057640262500,000$
13Tony DeAngeloX100.00595785706379657450725765596971056640301500,000$
14Josh MahuraX100.00735883626965786550585071556667056630271500,000$
15Noah JuulsenX100.00816579597268625950505072556870056620281500,000$
16Elias Pettersson (D) (R)X100.00706681596662586150525065555458055580213500,000$
Rayé
1Peyton KrebsXXX100.00756481676674916968666064506062044630244500,000$
2Julien GauthierX100.00523589578150505050505050506463048520281500,000$
MOYENNE D’ÉQUIPE99.6768588565697074665261576653666704962
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
1Georgi Romanov (R)98.0050646078504949494950506060051540262500,000$
Rayé
MOYENNE D’ÉQUIPE98.005064607850494949495050606005154
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer8080858080841CAN555500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Danton HeinenFirebirds (NYR)LW/RW98513-160242530161326.67%221924.34101118000091044.00%2500001.1900000111
2Eric RobinsonFirebirds (NYR)LW/RW97310-400161935122320.00%521123.531014190110211145.74%9400010.9400000100
3Michael BuntingFirebirds (NYR)LW/RW92810-76015204312274.65%223726.380005161012180047.16%17600000.8400000010
4John MarinoFirebirds (NYR)D9088000458270%1317018.94022519011018000%000000.9400000000
5Tanner PearsonFirebirds (NYR)LW9628-52011102872621.43%215317.05000000000111163.64%1100001.0400000110
6Timothy LiljegrenFirebirds (NYR)D9167060175103810.00%816718.63022619000015000%000000.8300000010
7Thomas NovakFirebirds (NYR)C/LW/RW9347-3001162062015.00%119121.30000119000070053.60%22200000.7300000011
8Tony DeAngeloFirebirds (NYR)D9077200173010%310912.190000000000000%000001.2800000000
9Nick BlankenburgFirebirds (NYR)D9156-9208920965.00%1220222.52000920000018000%000000.5900000000
10Noah JuulsenFirebirds (NYR)D91340006450320.00%6758.4200000000050075.00%400001.0600000100
11Valtteri PuustinenFirebirds (NYR)RW91230004462416.67%011813.1600002000000058.62%2900000.5100000000
12Daniel SprongFirebirds (NYR)RW9123-7204615266.67%316017.8500003000000060.71%2800000.3700000000
13Connor DewarFirebirds (NYR)C/LW/RW9112-6100216237154.35%317219.16000319000010061.11%1800000.2300000001
14Josh MahuraFirebirds (NYR)D90112201835030%411012.270000000006000%000000.1800000000
15Elias Pettersson (D)Firebirds (NYR)D9011-100172010%0626.900000000000000%000000.3200000001
16Peyton KrebsFirebirds (NYR)C/LW/RW5101-31755780612.50%07915.8300007000040056.47%8500000.2500001000
17Mario FerraroFirebirds (NYR)D9000-9801510122110%1320122.40000720000017000%00000000000000
Statistiques d’équipe totales ou en moyenne149335891-516151711632738018012.09%77264417.752464118512321563251.88%69200010.6900001454
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
1Georgi RomanovFirebirds (NYR)93600.8454.9851840432770010090001
Statistiques d’équipe totales ou en moyenne93600.8454.985184043277001090001


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
Connor DewarFirebirds (NYR)C/LW/RW261999-06-26CANNo192 Lbs5 ft10NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Daniel SprongFirebirds (NYR)RW281997-03-17NLDNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$85,833$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Danton HeinenFirebirds (NYR)LW/RW301995-07-05CANNo195 Lbs6 ft2NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Elias Pettersson (D)Firebirds (NYR)D212004-02-16SWEYes185 Lbs6 ft2NoNoFree AgentNoNo32025-08-04FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Eric RobinsonFirebirds (NYR)LW/RW301995-06-14USANo211 Lbs6 ft2NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Georgi RomanovFirebirds (NYR)G261999-12-15RUSYes207 Lbs6 ft5NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
John MarinoFirebirds (NYR)D281997-05-21USANo200 Lbs6 ft1NoNoTrade2025-07-16NoNo22024-08-19FalseFalsePro & Farm750,000$75,000$42,917$No750,000$--------750,000$--------No--------Lien / Lien NHL
Josh MahuraFirebirds (NYR)D271998-05-05CANNo193 Lbs6 ft0NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Julien GauthierFirebirds (NYR)RW281997-10-15CANNo225 Lbs6 ft4NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Mario FerraroFirebirds (NYR)D271998-09-17CANNo209 Lbs6 ft0NoNoTrade2025-06-29NoNo2FalseFalsePro & Farm750,000$75,000$42,917$No750,000$--------750,000$--------No--------Lien / Lien NHL
Michael BuntingFirebirds (NYR)LW/RW301995-09-17CANNo186 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Nick BlankenburgFirebirds (NYR)D271998-05-12USANo177 Lbs5 ft9NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Noah JuulsenFirebirds (NYR)D281997-04-02CANNo201 Lbs6 ft2NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Peyton KrebsFirebirds (NYR)C/LW/RW242001-01-26CANNo186 Lbs6 ft0NoNoFree Agent2025-07-16NoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Tanner PearsonFirebirds (NYR)LW331992-08-10CANNo207 Lbs6 ft1NoNoTrade2025-07-13NoNo22025-03-28FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Thomas NovakFirebirds (NYR)C/LW/RW281997-04-28USANo179 Lbs6 ft1NoNoFree AgentNoNo22025-07-28FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien
Timothy LiljegrenFirebirds (NYR)D261999-04-30SWENo201 Lbs6 ft1NoNoTrade2025-06-29NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Tony DeAngeloFirebirds (NYR)D301995-10-24USANo180 Lbs5 ft11NoNoFree AgentNoNo12025-07-28FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Valtteri PuustinenFirebirds (NYR)RW261999-06-04FINNo182 Lbs5 ft10NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1927.53195 Lbs6 ft12.11578,947$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingEric Robinson40122
2Danton HeinenThomas NovakConnor Dewar30122
3Tanner PearsonMichael BuntingDaniel Sprong20122
4Danton HeinenEric RobinsonValtteri Puustinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mario FerraroNick Blankenburg40122
2Timothy LiljegrenJohn Marino30122
3Tony DeAngeloJosh Mahura20122
4Noah JuulsenElias Pettersson (D)10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenThomas NovakConnor Dewar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenTanner Pearson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Bunting60122Mario FerraroNick Blankenburg60122
2Eric Robinson40122Timothy LiljegrenJohn Marino40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenTanner Pearson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingEric RobinsonMario FerraroNick Blankenburg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingEric RobinsonMario FerraroNick Blankenburg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Sprong, Valtteri Puustinen, Daniel Sprong, Valtteri Puustinen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tony DeAngelo, Josh Mahura, Noah JuulsenTony DeAngeloJosh Mahura, Noah Juulsen
Tirs de pénalité
Michael Bunting, Eric Robinson, Danton Heinen, Tanner Pearson,
Gardien
#1 : Georgi Romanov, #2 :


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
1Aces321000001310332100000131030000000000040.6671326390153565051284834714931274222167900.00%8275.00%0596131845.22%509114844.34%29767444.07%793557923260454215
2Admirals321000002417711000000844211000001613340.667244569005356505123483471493121333614926233.33%7271.43%0596131845.22%509114844.34%29767444.07%793557923260454215
3Americiens1010000014-31010000014-30000000000000.00011200535650524483471493123652323200.00%40100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
4Barracuda1010000016-5000000000001010000016-500.00012300535650511483471493122810015100.00%000%0596131845.22%509114844.34%29767444.07%793557923260454215
5Broncos531010002418621001000972321000001511480.8002444680053565052114834714931214142269013323.08%13192.31%0596131845.22%509114844.34%29767444.07%793557923260454215
6Bruins42200000171612110000077021100000109140.5001733500053565051674834714931212027217714214.29%7271.43%0596131845.22%509114844.34%29767444.07%793557923260454215
7Canucks1010000034-1000000000001010000034-100.0003470053565054948347149312221242611100.00%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
8Fighting Pandas20101000711-40000000000020101000711-420.50071421005356505794834714931270186479111.11%3166.67%0596131845.22%509114844.34%29767444.07%793557923260454215
9Griffins1010000058-3000000000001010000058-300.00059140053565053248347149312358619200.00%30100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
10Ice Bats10001000431100010004310000000000021.00048120053565054748347149312286627200.00%20100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
11Lions2200000013852200000013850000000000041.00013253800535650510348347149312882312566233.33%40100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
12Marlies20101000910-11010000057-21000100043120.50091524105356505564834714931273241445100.00%5180.00%1596131845.22%509114844.34%29767444.07%793557923260454215
13Quacken11000000633110000006330000000000021.00061218005356505464834714931237102183133.33%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
14Roadrunners404000001623-71010000056-1303000001117-600.0001631470053565051494834714931217041229210220.00%11372.73%0596131845.22%509114844.34%29767444.07%793557923260454215
15Wombats412010001520-52010100078-121100000812-440.500153045005356505186483471493121504926855120.00%13284.62%0596131845.22%509114844.34%29767444.07%793557923260454215
16Wranglers11000000624000000000001100000062421.0006121800535650548483471493124213425500.00%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
Total36141705000164163117860300078671119611020008696-10380.5281643114751153565051459483471493121247346207804891516.85%861780.23%1596131845.22%509114844.34%29767444.07%793557923260454215
_Since Last GM Reset36141705000164163117860300078671119611020008696-10380.5281643114751153565051459483471493121247346207804891516.85%861780.23%1596131845.22%509114844.34%29767444.07%793557923260454215
_Vs Conference2581304000113119-61035020004243-11558020007176-5240.48011321332610535650599548347149312893242152551601118.33%631280.95%1596131845.22%509114844.34%29767444.07%793557923260454215
_Vs Division1368020006863552202000241958460000044440160.61568128196005356505552483471493124591357228626623.08%36586.11%0596131845.22%509114844.34%29767444.07%793557923260454215

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3638L21643114751459124734620780411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3614175000164163
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
178630007867
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1961120008696
Derniers 10 matchs
WLOTWOTL SOWSOL
361000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
891516.85%861780.23%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
483471493125356505
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
596131845.22%509114844.34%29767444.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
793557923260454215


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
25Firebirds3Roadrunners5LSommaire du match
620Wombats1Firebirds2WXSommaire du match
833Bruins4Firebirds6WSommaire du match
1043Firebirds6Bruins3WSommaire du match
1251Broncos4Firebirds5WXSommaire du match
1466Firebirds4Marlies3WXSommaire du match
1675Admirals4Firebirds8WSommaire du match
1889Roadrunners6Firebirds5LSommaire du match
1994Firebirds3Wombats8LSommaire du match
20100Firebirds5Broncos3WSommaire du match
23112Firebirds7Broncos3WSommaire du match
26123Aces3Firebirds5WSommaire du match
29139Firebirds7Admirals8LSommaire du match
31146Firebirds6Roadrunners7LSommaire du match
32153Wombats7Firebirds5LSommaire du match
35169Firebirds2Fighting Pandas7LSommaire du match
36174Aces7Firebirds4LSommaire du match
40189Lions4Firebirds8WSommaire du match
43204Firebirds9Admirals5WSommaire du match
45211Ice Bats3Firebirds4WXSommaire du match
48225Firebirds5Wombats4WSommaire du match
49235Bruins3Firebirds1LSommaire du match
51247Firebirds3Broncos5LSommaire du match
53257Quacken3Firebirds6WSommaire du match
55272Aces0Firebirds4WSommaire du match
57284Firebirds3Canucks4LSommaire du match
59293Firebirds5Fighting Pandas4WXSommaire du match
61300Marlies7Firebirds5LSommaire du match
64316Lions4Firebirds5WSommaire du match
65324Firebirds1Barracuda6LSommaire du match
68338Firebirds6Wranglers2WSommaire du match
69344Americiens4Firebirds1LSommaire du match
72356Firebirds4Bruins6LSommaire du match
74366Broncos3Firebirds4WSommaire du match
76379Firebirds2Roadrunners5LSommaire du match
77385Firebirds5Griffins8LSommaire du match
79395Wombats-Firebirds-
81408Americiens-Firebirds-
82415Firebirds-Marlies-
85430Wranglers-Firebirds-
87437Firebirds-Marlies-
89446Firebirds-Lynx-
92457Barracuda-Firebirds-
94469Firebirds-Wranglers-
96474Firebirds-Tomahawks-
97483Lynx-Firebirds-
100498Nordiks-Firebirds-
102510Firebirds-Butter Knives-
104520Firebirds-Aces-
105525Bruins-Firebirds-
107541Marlies-Firebirds-
110554Firebirds-Lynx-
112565Admirals-Firebirds-
113574Firebirds-Wombats-
115582Firebirds-Roadrunners-
118593Firebirds-Bruins-
119597Admirals-Firebirds-
121614Lynx-Firebirds-
124630Firebirds-Aces-
125637Griffins-Firebirds-
128653Broncos-Firebirds-
131662Firebirds-Admirals-
133676Barons-Firebirds-
135689Firebirds-Broncos-
137697Barons-Firebirds-
139706Firebirds-Butter Knives-
141719Fighting Pandas-Firebirds-
142723Firebirds-Nordiks-
145734Firebirds-Barons-
147745Butter Knives-Firebirds-
148755Firebirds-Ice Bats-
150766Canucks-Firebirds-
152775Firebirds-Americiens-
155790Roadrunners-Firebirds-
156792Firebirds-Lions-
160813Tomahawks-Firebirds-
163826Firebirds-Americiens-
164835Roadrunners-Firebirds-
168854Fighting Pandas-Firebirds-
172869Firebirds-Quacken-
174877Butter Knives-Firebirds-
178900Tomahawks-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
696,685$ 1,100,000$ 1,050,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,050,000$ 461,373$ 19 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 103 8,889$ 915,567$




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