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Firebirds
GP: 82 | W: 14 | L: 68 | OTL: 0 | P: 28
GF: 211 | GA: 559 | PP%: 12.24% | PK%: 74.17%
DG: Matt L | Morale : 50 | Moyenne d’équipe : 55
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Centre de jeu
Griffins
63-16-3, 129pts
8
FINAL
0 Firebirds
14-68-0, 28pts
Team Stats
W7StreakL11
30-9-2Home Record7-34-0
33-7-1Away Record7-34-0
9-1-0Last 10 Games0-10-0
4.59Buts par match 2.57
2.16Buts contre par match 6.82
20.50%Pourcentage en avantage numérique12.24%
88.83%Pourcentage en désavantage numérique74.17%
Gulls
54-26-2, 110pts
7
FINAL
3 Firebirds
14-68-0, 28pts
Team Stats
W1StreakL11
28-12-1Home Record7-34-0
26-14-1Away Record7-34-0
7-3-0Last 10 Games0-10-0
4.72Buts par match 2.57
3.12Buts contre par match 6.82
19.02%Pourcentage en avantage numérique12.24%
80.62%Pourcentage en désavantage numérique74.17%
Meneurs d'équipe
Matt BartkowskiButs
Matt Bartkowski
17
Matt BartkowskiPasses
Matt Bartkowski
12
Matt BartkowskiPoints
Matt Bartkowski
29
Matt BartkowskiPlus/Moins
Matt Bartkowski
-23

Statistiques d’équipe
Buts pour
211
2.57 GFG
Tirs pour
2061
25.13 Avg
Pourcentage en avantage numérique
12.2%
24 GF
Début de zone offensive
28.5%
Buts contre
559
6.82 GAA
Tirs contre
3947
48.13 Avg
Pourcentage en désavantage numérique
74.2%%
39 GA
Début de la zone défensive
44.5%
Informations de l'équipe

Directeur généralMatt L
EntraîneurDerek Lalonde
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,848
Billets de saison0


Informations de la formation

Équipe Pro6
Équipe Mineure21
Limite contact 27 / 50
Espoirs28


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
1Joseph CramarossaXX100.006868676768596055694858595546465850560301750,000$
2Riley Sutter (R)X100.008078866378535449504746634444445450540233871,667$
3Ryan McGregor (R)XX100.007062896562515151645246594444445450540243803,333$
4Matt BartkowskiX100.007874876374616549253741673964655450600351850,000$
5Jett Woo (R)X100.0075747758745456472537416039444450505502231,044,167$
Rayé
MOYENNE D’ÉQUIPE100.00747181637156575047444662444849545056
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
1Olle Eriksson Ek (R)100.00454050774546505249493044444750500233750,000$
Rayé
MOYENNE D’ÉQUIPE100.0045405077454650524949304444475050
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde63737564726777USA4912,000,000$


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

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# 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
1Matt BartkowskiFirebirds (SEA)D37171229-237001787299355217.17%9571819.435273149000024100.00%000000.8100000002
Statistiques d’équipe totales ou en moyenne37171229-237001787299355217.17%9571819.43527314900002410 0.00%000000.8100000002
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Jett WooFirebirds (SEA)D222000-07-27Yes205 Lbs6 ft0NoNoNo3Pro & Farm1,044,167$0$0$No1,044,167$1,044,167$Lien
Joseph CramarossaFirebirds (SEA)LW/RW301992-10-26No188 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Matt BartkowskiFirebirds (SEA)D351988-06-04No201 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Olle Eriksson EkFirebirds (SEA)G231999-06-22Yes189 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Riley SutterFirebirds (SEA)RW231999-10-25Yes207 Lbs6 ft4NoNoNo3Pro & Farm871,667$0$0$No871,667$871,667$Lien / Lien NHL
Ryan McGregorFirebirds (SEA)C/LW241999-01-29Yes168 Lbs6 ft0NoNoNo3Pro & Farm803,333$0$0$No803,333$803,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
626.17193 Lbs6 ft12.33844,861$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1 Americans40400000936-2720200000316-1320200000620-1400.000918270097624849465770269392176017458112.50%6183.33%0537155234.60%792241832.75%446146730.40%11757972893556857334
2Admirals404000001128-1720200000414-1020200000714-700.00011223300976248413165770269392285912917114.29%8362.50%0537155234.60%792241832.75%446146730.40%11757972893556857334
3Barracudas20101000990100010007611010000023-120.50091726009762484956577026939117221056000.00%50100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
4Bears211000001082110000006241010000046-220.50010203000976248495657702693973214543266.67%20100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
5Bruins30300000725-181010000039-620200000416-1200.00071320009762484486577026939136301631300.00%8450.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
6Canucks30300000323-2020200000216-141010000017-600.0003690097624842165770269391653324361100.00%11372.73%0537155234.60%792241832.75%446146730.40%11757972893556857334
7Checkers20200000316-131010000028-61010000018-700.000369009762484396577026939103352207114.29%110.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
8Comets20200000812-41010000067-11010000025-300.00081523009762484406577026939571322012216.67%10100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
9Condors20200000210-81010000004-41010000026-400.00024600976248429657702693985228231000.00%4175.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
10Crunch30300000925-1620200000716-91010000029-700.0009172600976248443657702693913946192813215.38%6350.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
11Eagles210010001192110000005411000100065141.00011223300976248486657702693977206523133.33%30100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
12Griffins20200000118-171010000008-810100000110-900.00012300976248421657702693993241431800.00%7185.71%0537155234.60%792241832.75%446146730.40%11757972893556857334
13Gulls20200000415-111010000037-41010000018-700.0004812009762484326577026939102319334125.00%2150.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
14Heat20200000017-1710100000011-111010000006-600.000000009762484246577026939104341228700.00%6350.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
15IceHogs40301000927-1820200000315-1220101000612-620.2509162500976248410065770269392265414768225.00%7185.71%0537155234.60%792241832.75%446146730.40%11757972893556857334
16Marlies2020000018-71010000003-31010000015-400.000123009762484206577026939492081810110.00%3166.67%0537155234.60%792241832.75%446146730.40%11757972893556857334
17Monsters20200000112-111010000007-71010000015-400.0001230097624842465770269399518419600.00%20100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
18Moose40400000932-2320200000617-1120200000315-1200.000917260097624847765770269391976222455240.00%10370.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
19Penguins20200000714-71010000028-61010000056-100.0007121900976248451657702693910835437100.00%2150.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
20Phantoms20200000316-131010000027-51010000019-800.00036900976248431657702693996341021300.00%5180.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
21Rampage 4300100024131122000000134921001000119281.0002446700097624842256577026939139434946233.33%20100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
22Reign20200000411-71010000034-11010000017-600.000471100976248455657702693912438832100.00%3166.67%1537155234.60%792241832.75%446146730.40%11757972893556857334
23Roadrunners220000001275110000007341100000054141.0001223350097624849265770269399931856200.00%4175.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
24Rocket20200000018-181010000008-810100000010-1000.00000000976248436657702693912643412800.00%20100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
25Senators20200000010-101010000006-61010000004-400.00000000976248418657702693997222114300.00%7185.71%0537155234.60%792241832.75%446146730.40%11757972893556857334
26Sound Tigers2020000058-31010000034-11010000024-200.00059141097624846265770269397525824400.00%40100.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
27Stars422000002019120200000912-322000000117440.5002040600097624841856577026939175516915120.00%3166.67%0537155234.60%792241832.75%446146730.40%11757972893556857334
28Thunderbirds20200000022-2210100000013-131010000009-900.00000000976248417657702693980231018300.00%5180.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
29Wild505000001442-2820200000421-17303000001021-1100.000142842009762484119657702693931479427314214.29%16475.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
30Wolf Pack21100000711-4110000006331010000018-720.5007132000976248487657702693969250377114.29%000.00%0537155234.60%792241832.75%446146730.40%11757972893556857334
31Wolves40400000838-3020200000517-1220200000321-1800.0008152300976248464657702693918245124714214.29%6266.67%0537155234.60%792241832.75%446146730.40%11757972893556857334
Total82106804000211559-3484163401000111280-1694143403000100279-179280.171211406617109762484206165770269393947109834012621962412.24%1513974.17%1537155234.60%792241832.75%446146730.40%11757972893556857334
_Since Last GM Reset82106804000211559-3484163401000111280-1694143403000100279-179280.171211406617109762484206165770269393947109834012621962412.24%1513974.17%1537155234.60%792241832.75%446146730.40%11757972893556857334
_Vs Conference4783504000146313-167234180100072155-83244170300074158-84240.255146283429009762484140865770269392386651190842941515.96%852274.12%1537155234.60%792241832.75%446146730.40%11757972893556857334
_Vs Division2952602000110177-6714214000005190-3915312020005987-28140.241110214324009762484101565770269391455399114578501122.00%531375.47%0537155234.60%792241832.75%446146730.40%11757972893556857334

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8228L11211406617206139471098340126210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8210684000211559
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
416341000111280
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
414343000100279
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1962412.24%1513974.17%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
65770269399762484
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
537155234.60%792241832.75%446146730.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11757972893556857334


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
1 - 2023-03-222Firebirds3Wild7ALSommaire du match
3 - 2023-03-2424 Americans9Firebirds2BLSommaire du match
5 - 2023-03-2641Firebirds0Moose6ALSommaire du match
6 - 2023-03-2753IceHogs6Firebirds0BLSommaire du match
8 - 2023-03-2970Firebirds2Bruins9ALSommaire du match
10 - 2023-03-3186Firebirds6Stars4AWSommaire du match
12 - 2023-04-0294Admirals8Firebirds2BLSommaire du match
14 - 2023-04-04119Moose6Firebirds2BLSommaire du match
16 - 2023-04-06136Stars6Firebirds5BLSommaire du match
18 - 2023-04-08148Firebirds3Wild4ALSommaire du match
20 - 2023-04-10166Canucks7Firebirds1BLSommaire du match
22 - 2023-04-12192Firebirds3Wolves11ALSommaire du match
23 - 2023-04-13195Firebirds3IceHogs10ALSommaire du match
25 - 2023-04-15213Wolves6Firebirds1BLSommaire du match
28 - 2023-04-18231Firebirds2 Americans11ALSommaire du match
30 - 2023-04-20246Rampage 1Firebirds8BWSommaire du match
32 - 2023-04-22263Firebirds6Eagles5AWXSommaire du match
33 - 2023-04-23273Thunderbirds13Firebirds0BLSommaire du match
35 - 2023-04-25287Firebirds2Condors6ALSommaire du match
37 - 2023-04-27307Firebirds0Heat6ALSommaire du match
38 - 2023-04-28318IceHogs9Firebirds3BLSommaire du match
40 - 2023-04-30332Firebirds1Monsters5ALSommaire du match
42 - 2023-05-02344Roadrunners3Firebirds7BWSommaire du match
44 - 2023-05-04364Firebirds5Penguins6ALSommaire du match
46 - 2023-05-06376Firebirds2Barracudas3ALSommaire du match
47 - 2023-05-07384Stars6Firebirds4BLSommaire du match
49 - 2023-05-09404Firebirds0Thunderbirds9ALSommaire du match
51 - 2023-05-11416Wolf Pack3Firebirds6BWSommaire du match
53 - 2023-05-13435Firebirds2Crunch9ALSommaire du match
54 - 2023-05-14446Condors4Firebirds0BLSommaire du match
58 - 2023-05-18473Firebirds0Senators4ALSommaire du match
59 - 2023-05-19480Eagles4Firebirds5BWSommaire du match
61 - 2023-05-21499Firebirds3Moose9ALSommaire du match
63 - 2023-05-23512Monsters7Firebirds0BLSommaire du match
65 - 2023-05-25534Rocket8Firebirds0BLSommaire du match
67 - 2023-05-27544Firebirds1Phantoms9ALSommaire du match
69 - 2023-05-29567Marlies3Firebirds0BLSommaire du match
71 - 2023-05-31584Firebirds5Roadrunners4AWSommaire du match
73 - 2023-06-02599 Americans7Firebirds1BLSommaire du match
76 - 2023-06-05617Firebirds2Comets5ALSommaire du match
77 - 2023-06-06633Rampage 3Firebirds5BWSommaire du match
79 - 2023-06-08651Firebirds1Griffins10ALSommaire du match
81 - 2023-06-10666Wild11Firebirds3BLSommaire du match
83 - 2023-06-12686Firebirds5Rampage 4AWSommaire du match
85 - 2023-06-14698Firebirds1Reign7ALSommaire du match
86 - 2023-06-15704Canucks9Firebirds1BLSommaire du match
90 - 2023-06-19732Moose11Firebirds4BLSommaire du match
92 - 2023-06-21753Firebirds0Wolves10ALSommaire du match
94 - 2023-06-23763Crunch8Firebirds3BLSommaire du match
96 - 2023-06-25783Firebirds0Rocket10ALSommaire du match
98 - 2023-06-27794Admirals6Firebirds2BLSommaire du match
100 - 2023-06-29806Firebirds4Wild10ALSommaire du match
102 - 2023-07-01822Barracudas6Firebirds7BWXSommaire du match
104 - 2023-07-03844Firebirds4Bears6ALSommaire du match
106 - 2023-07-05857Wild10Firebirds1BLSommaire du match
107 - 2023-07-06870Firebirds6Rampage 5AWXSommaire du match
109 - 2023-07-08882Firebirds2Sound Tigers4ALSommaire du match
111 - 2023-07-10894Bears2Firebirds6BWSommaire du match
113 - 2023-07-12917Firebirds1Gulls8ALSommaire du match
115 - 2023-07-14926Crunch8Firebirds4BLSommaire du match
117 - 2023-07-16946Firebirds3IceHogs2AWXSommaire du match
118 - 2023-07-17955Heat11Firebirds0BLSommaire du match
120 - 2023-07-19968Firebirds1Canucks7ALSommaire du match
122 - 2023-07-21987Sound Tigers4Firebirds3BLSommaire du match
126 - 2023-07-251015Bruins9Firebirds3BLSommaire du match
129 - 2023-07-281042Phantoms7Firebirds2BLSommaire du match
131 - 2023-07-301056Firebirds2Bruins7ALSommaire du match
133 - 2023-08-011072Firebirds1Marlies5ALSommaire du match
134 - 2023-08-021079Wolves11Firebirds4BLSommaire du match
137 - 2023-08-051107Checkers8Firebirds2BLSommaire du match
138 - 2023-08-061114Firebirds5Stars3AWSommaire du match
141 - 2023-08-091141Penguins8Firebirds2BLSommaire du match
143 - 2023-08-111158Firebirds4 Americans9ALSommaire du match
145 - 2023-08-131169Firebirds5Admirals8ALSommaire du match
146 - 2023-08-141178Comets7Firebirds6BLSommaire du match
149 - 2023-08-171202Firebirds1Checkers8ALSommaire du match
150 - 2023-08-181211Senators6Firebirds0BLSommaire du match
151 - 2023-08-191224Firebirds2Admirals6ALSommaire du match
154 - 2023-08-221244Firebirds1Wolf Pack8ALSommaire du match
155 - 2023-08-231248Reign4Firebirds3BLSommaire du match
159 - 2023-08-271278Griffins8Firebirds0BLSommaire du match
163 - 2023-08-311302Gulls7Firebirds3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets530
Assistance77,90138,856
Assistance PCT95.00%94.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2848 - 94.92% 100,701$4,128,753$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,687,785$ 506,917$ 506,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,054$ 687,787$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,102$ 0$




Firebirds Leaders statistiques (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 (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