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Connexion

Firebirds
GP: 56 | W: 32 | L: 22 | OTL: 2 | P: 66
GF: 201 | GA: 176 | PP%: 17.66% | PK%: 80.10%
DG: Mathieu Girard | Morale : 50 | Moyenne d’équipe : 66
Prochains matchs #912 vs Wild
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Centre de jeu
Griffins
33-18-5, 71pts
5
FINAL
7 Firebirds
32-22-2, 66pts
Team Stats
W1SéquenceL1
17-11-1Fiche domicile17-7-2
16-7-4Fiche domicile15-15-0
8-2-0Derniers 10 matchs6-4-0
3.63Buts par match 3.59
2.68Buts contre par match 3.14
19.24%Pourcentage en avantage numérique17.66%
87.72%Pourcentage en désavantage numérique80.10%
Canucks
35-21-3, 73pts
3
FINAL
2 Firebirds
32-22-2, 66pts
Team Stats
W4SéquenceL1
14-9-3Fiche domicile17-7-2
21-12-0Fiche domicile15-15-0
6-4-0Derniers 10 matchs6-4-0
3.25Buts par match 3.59
2.27Buts contre par match 3.14
15.09%Pourcentage en avantage numérique17.66%
85.47%Pourcentage en désavantage numérique80.10%
Wild
20-31-5, 45pts
2024-02-24
Firebirds
32-22-2, 66pts
Statistiques d’équipe
W1SéquenceL1
10-18-1Fiche domicile17-7-2
10-13-4Fiche visiteur15-15-0
5-4-110 derniers matchs6-4-0
3.02Buts par match 3.59
3.95Buts contre par match 3.59
19.02%Pourcentage en avantage numérique17.66%
77.71%Pourcentage en désavantage numérique80.10%
Bruins
39-9-10, 88pts
2024-02-26
Firebirds
32-22-2, 66pts
Statistiques d’équipe
W2SéquenceL1
23-4-3Fiche domicile17-7-2
16-5-7Fiche visiteur15-15-0
8-1-110 derniers matchs6-4-0
3.40Buts par match 3.59
2.24Buts contre par match 3.59
18.54%Pourcentage en avantage numérique17.66%
86.32%Pourcentage en désavantage numérique80.10%
Penguins
35-15-4, 74pts
2024-02-29
Firebirds
32-22-2, 66pts
Statistiques d’équipe
SOL1SéquenceL1
19-6-3Fiche domicile17-7-2
16-9-1Fiche visiteur15-15-0
7-2-110 derniers matchs6-4-0
3.06Buts par match 3.59
1.89Buts contre par match 3.59
15.97%Pourcentage en avantage numérique17.66%
88.78%Pourcentage en désavantage numérique80.10%
Meneurs d'équipe
Buts
Nils Aman
34
Passes
Oskar Olausson
40
Points
Nils Aman
72
Plus/Moins
Tyler Tullio
15
Victoires
Yaroslav Askarov
32
Pourcentage d’arrêts
Yaroslav Askarov
0.877

Statistiques d’équipe
Buts pour
201
3.59 GFG
Tirs pour
1623
28.98 Avg
Pourcentage en avantage numérique
17.7%
59 GF
Début de zone offensive
40.2%
Buts contre
176
3.14 GAA
Tirs contre
1379
24.63 Avg
Pourcentage en désavantage numérique
80.1%%
38 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralMathieu Girard
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro10
Équipe Mineure21
Limite contact 31 / 250
Espoirs43


Historique d'équipe

Saison actuelle32-22-2 (66PTS)
Historique86-125-15 (0.381%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Mason Shaw (R)XX100.00809964676759806152636278255151050700231750,000$
2Matthew Phillips (R)X100.00655393635380837080657161674444050700241750,000$
3Nils Aman (R)X100.00674291646763855867645776255252050690222925,000$
4Marco Rossi (R)X100.006141877764638565745555662545450506802131,713,333$
5Hendrix Lapierre (R)X100.006965797465677059745361605844440506702031,105,833$
6Oskar Olausson (R)XXX100.00736885666871765450475761544444050650193894,167$
7Tyler Tullio (R)XX100.00696090676075805650505860554444050650203833,333$
8Carter Savoie (R)X100.00736787656759615250435761544444050630202925,000$
9Helge Grans (R)X100.00807788607768744625364063384444050640203902,500$
Rayé
MOYENNE D’ÉQUIPE100.0071648567656777585853586545464605067
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
1Yaroslav Askarov (R)100.00565455716159546060593044440505902031,775,000$
Rayé
MOYENNE D’ÉQUIPE100.005654557161595460605930444405059
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
1Nils AmanFirebirds (SEA)C56343872-2200631732206614715.45%50116120.741311247525410151357254.17%100800021.2412000444
2Carter SavoieFirebirds (SEA)LW56313768846101031362716516111.44%29100217.90101424832570001342449.04%10400001.3600002556
3Matthew PhillipsFirebirds (SEA)C563430645120361892416718214.11%36120921.601212247024302291605158.63%164600031.0612000445
4Hendrix LapierreFirebirds (SEA)C56332558-1340101111992167415315.28%69112420.08448205710131055158.22%91900121.0312011914
5Oskar OlaussonFirebirds (SEA)C/LW/RW5615405515471595103173441158.67%22109819.6251621572480003845048.39%15500001.0000030263
6Tyler TullioFirebirds (SEA)C/RW5620355515180511161735313111.56%23104218.6281321462520004800235.80%8100001.0600000234
7Josh MahuraKrakenD35112435-2480766265323816.92%3269419.84661241132000150210%000101.0100000211
8Dylan BlujusKrakenD4235411513530266.67%67017.5711221400004000%000001.4200001020
9Helge GransFirebirds (SEA)D10112-210017383112.50%919519.60011233000018000%000000.2000000000
Statistiques d’équipe totales ou en moyenne3851812334142825240565986137040493013.21%276760019.745978137396149322426675261156.25%391300271.0936044282627
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
1Yaroslav AskarovFirebirds (SEA)56322120.8773.02313844158128901300.8336560412
Statistiques d’équipe totales ou en moyenne56322120.8773.02313844158128901306560412


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 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 Type Salaire actuel Plafond salarial Non Activé 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 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
Carter SavoieFirebirds (SEA)LW202002-01-23Yes192 Lbs5 ft9NoNoNoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Helge GransFirebirds (SEA)D202002-05-10Yes206 Lbs6 ft3NoNoNoNo3Pro & Farm902,500$0$0$No902,500$902,500$-------NoNo-------Lien / Lien NHL
Hendrix LapierreFirebirds (SEA)C202002-09-02Yes179 Lbs6 ft0NoNoNoNo3Pro & Farm1,105,833$0$0$No1,105,833$1,105,833$-------NoNo-------
Marco RossiFirebirds (SEA)C212001-09-23Yes183 Lbs5 ft9NoNoNoNo3Pro & Farm1,713,333$0$0$No1,713,333$1,713,333$-------NoNo-------Lien / Lien NHL
Mason ShawFirebirds (SEA)C/LW231998-11-02Yes181 Lbs5 ft9NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Matthew PhillipsFirebirds (SEA)C241998-04-06Yes150 Lbs5 ft7NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nils AmanFirebirds (SEA)C222000-07-02Yes179 Lbs6 ft2NoNoNoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Oskar OlaussonFirebirds (SEA)C/LW/RW192002-10-11Yes180 Lbs6 ft1NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------
Tyler TullioFirebirds (SEA)C/RW202002-05-04Yes165 Lbs5 ft10NoNoNoNo3Pro & Farm833,333$0$0$No833,333$833,333$-------NoNo-------
Yaroslav AskarovFirebirds (SEA)G202002-06-16Yes176 Lbs6 ft3NoNoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1020.90179 Lbs5 ft112.401,057,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar OlaussonMatthew PhillipsTyler Tullio30122
2Carter SavoieNils Aman30122
3Hendrix Lapierre20122
4Nils AmanMatthew PhillipsHendrix Lapierre20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
230122
320122
420122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar OlaussonMatthew PhillipsTyler Tullio60122
2Carter SavoieNils Aman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PhillipsNils Aman60122
2Hendrix LapierreTyler Tullio40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Phillips6012260122
2Nils Aman4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PhillipsNils Aman60122
2Hendrix LapierreTyler Tullio40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar OlaussonMatthew PhillipsTyler Tullio
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar OlaussonMatthew PhillipsTyler Tullio
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Olausson, Carter Savoie, Hendrix LapierreOskar Olausson, Carter SavoieHendrix Lapierre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
Matthew Phillips, Nils Aman, Hendrix Lapierre, Tyler Tullio, Oskar Olausson
Gardien
#1 : Yaroslav Askarov, #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
1Admirals220000001147110000004131100000073441.00011182900965448492554484581103613144011327.27%6183.33%0911164155.51%862159953.91%46684655.08%12659131484402626295
2Americans11000000651000000000001100000065121.0006915009654484375544845811029610215120.00%5260.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
3Barracuda22000000734110000004221100000031241.00079160096544845555448458110561414221119.09%70100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
4Bears11000000431000000000001100000043121.0004610009654484275544845811021210155240.00%4175.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
5Bruins1010000035-2000000000001010000035-200.000336009654484205544845811023101217200.00%6266.67%0911164155.51%862159953.91%46684655.08%12659131484402626295
6Canucks32100000981211000006601100000032140.6679132200965448466554484581107621236015320.00%80100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
7Checkers2010010057-21000010034-11010000023-110.25057120096544845155448458110422120281100.00%9366.67%0911164155.51%862159953.91%46684655.08%12659131484402626295
8Comets2200000013211110000008171100000051441.0001323360096544847655448458110361416287457.14%80100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
9Condors321000001275110000003212110000095440.667121830009654484113554484581104911275421314.29%6266.67%0911164155.51%862159953.91%46684655.08%12659131484402626295
10Crunch21100000862110000004131010000045-120.500812200096544844455448458110501925306233.33%11281.82%0911164155.51%862159953.91%46684655.08%12659131484402626295
11Eagles30300000815-720200000612-61010000023-100.000811190096544849555448458110721734582727.41%12558.33%0911164155.51%862159953.91%46684655.08%12659131484402626295
12Griffins21100000880110000007521010000013-220.5008132100965448477554484581105718102115320.00%5340.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
13Gulls1010000023-1000000000001010000023-100.000246009654484165544845811033813174125.00%40100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
14IceHogs3120000069-32110000046-21010000023-120.333610160096544847555448458110722330441715.88%15286.67%1911164155.51%862159953.91%46684655.08%12659131484402626295
15Islanders21100000550110000003031010000025-320.500571201965448451554484581105314223117317.65%9188.89%0911164155.51%862159953.91%46684655.08%12659131484402626295
16Marlies2010001067-1100000104311010000024-220.500671300965448450554484581105615638900.00%2150.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
17Monsters22000000945110000006241100000032141.000914230096544844955448458110641583320420.00%4175.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
18Penguins1010000007-7000000000001010000007-700.00000000965448422554484581103714815400.00%40100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
19Phantoms22000000844110000004131100000043141.000814220096544846555448458110331210139333.33%4175.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
20Reign21100000440110000001011010000034-120.50047110196544845655448458110461710391218.33%50100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
21Roadrunners11000000624000000000001100000062421.000611170096544843455448458110231121410220.00%000%0911164155.51%862159953.91%46684655.08%12659131484402626295
22Rocket1010000035-2000000000001010000035-200.00035800965448421554484581103978196116.67%40100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
23Senators2010010046-21000010034-11010000012-110.25046100096544845355448458110591516289222.22%7185.71%0911164155.51%862159953.91%46684655.08%12659131484402626295
24Silver Knights2110000069-31010000038-51100000031220.500681400965448447554484581105615162617317.65%8187.50%0911164155.51%862159953.91%46684655.08%12659131484402626295
25Stars10000010211000000000001000001021121.0002240096544842055448458110137139700.00%30100.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
26Thunderbirds2110000037-41010000017-61100000020220.500358019654484465544845811053141437700.00%7271.43%0911164155.51%862159953.91%46684655.08%12659131484402626295
27Wild11000000844110000008440000000000021.00081523009654484255544845811024810126233.33%5180.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
28Wolf Pack2110000069-3110000003211010000037-420.500691500965448454554484581104812262910330.00%12375.00%0911164155.51%862159953.91%46684655.08%12659131484402626295
29Wolves201010009901010000045-11000100054120.500911200096544846055448458110441563013430.77%20100.00%1911164155.51%862159953.91%46684655.08%12659131484402626295
30Wranglers330000002081222000000155101100000053261.000202747019654484126554484581107919204321523.81%9366.67%0911164155.51%862159953.91%46684655.08%12659131484402626295
Total5629220122020117625261670021010481233013150101097952660.58920130450504965448416235544845811013794074538713345917.66%1913880.10%2911164155.51%862159953.91%46684655.08%12659131484402626295
_Since Last GM Reset5629220122020117625261670021010481233013150101097952660.58920130450504965448416235544845811013794074538713345917.66%1913880.10%2911164155.51%862159953.91%46684655.08%12659131484402626295
_Vs Conference311712010101189424161060000065569157601010533815380.613118177295029654484957554484581107362172424892073416.43%951881.05%2911164155.51%862159953.91%46684655.08%12659131484402626295
_Vs Division131280000044422764000002330-76640000021129240.92344721160196544843875544845811029393117214851011.76%481177.08%1911164155.51%862159953.91%46684655.08%12659131484402626295

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5666L12013045051623137940745387104
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5629221220201176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26167021010481
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30131510109795
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3345917.66%1913880.10%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
554484581109654484
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
911164155.51%862159953.91%46684655.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12659131484402626295


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 - 2023-10-103Firebirds3Silver Knights1AWSommaire du match
3 - 2023-10-1215Firebirds7Admirals3AWSommaire du match
5 - 2023-10-1428Firebirds2Thunderbirds0AWSommaire du match
8 - 2023-10-1746Eagles7Firebirds2BLSommaire du match
10 - 2023-10-1960Wolves5Firebirds4BLSommaire du match
12 - 2023-10-2177Wolf Pack2Firebirds3BWSommaire du match
15 - 2023-10-2491Firebirds1Griffins3ALSommaire du match
17 - 2023-10-26101Firebirds5Wolves4AWXSommaire du match
19 - 2023-10-28118Firebirds2Checkers3ALSommaire du match
21 - 2023-10-30133Firebirds4Crunch5ALSommaire du match
24 - 2023-11-02154Admirals1Firebirds4BWSommaire du match
26 - 2023-11-04170Wranglers0Firebirds7BWSommaire du match
29 - 2023-11-07185Firebirds6Roadrunners2AWSommaire du match
31 - 2023-11-09201Firebirds2Eagles3ALSommaire du match
33 - 2023-11-11220Condors2Firebirds3BWSommaire du match
35 - 2023-11-13228Eagles5Firebirds4BLSommaire du match
37 - 2023-11-15239Firebirds3Condors4ALSommaire du match
38 - 2023-11-16248Islanders0Firebirds3BWSommaire du match
40 - 2023-11-18265Firebirds3Canucks2AWSommaire du match
42 - 2023-11-20277Wranglers5Firebirds8BWSommaire du match
44 - 2023-11-22291Barracuda2Firebirds4BWSommaire du match
46 - 2023-11-24307Canucks3Firebirds4BWSommaire du match
50 - 2023-11-28333Firebirds2IceHogs3ALSommaire du match
52 - 2023-11-30346Firebirds2Marlies4ALSommaire du match
54 - 2023-12-02362Firebirds1Senators2ALSommaire du match
56 - 2023-12-04377Firebirds3Rocket5ALSommaire du match
59 - 2023-12-07403Comets1Firebirds8BWSommaire du match
61 - 2023-12-09418Crunch1Firebirds4BWSommaire du match
62 - 2023-12-10426Wild4Firebirds8BWSommaire du match
64 - 2023-12-12437Checkers4Firebirds3BLXSommaire du match
66 - 2023-12-14453IceHogs4Firebirds0BLSommaire du match
68 - 2023-12-16471Reign0Firebirds1BWSommaire du match
70 - 2023-12-18482Firebirds2Stars1AWXXSommaire du match
72 - 2023-12-20497Firebirds3Reign4ALSommaire du match
75 - 2023-12-23523Firebirds2Gulls3ALSommaire du match
79 - 2023-12-27539Firebirds5Wranglers3AWSommaire du match
81 - 2023-12-29554Phantoms1Firebirds4BWSommaire du match
84 - 2024-01-01573Silver Knights8Firebirds3BLSommaire du match
87 - 2024-01-04598Senators4Firebirds3BLXSommaire du match
92 - 2024-01-09625Firebirds6Americans5AWSommaire du match
94 - 2024-01-11645Firebirds4Bears3AWSommaire du match
96 - 2024-01-13659Firebirds3Monsters2AWSommaire du match
98 - 2024-01-15677Firebirds0Penguins7ALSommaire du match
99 - 2024-01-16681Firebirds3Wolf Pack7ALSommaire du match
101 - 2024-01-18698Firebirds6Condors1AWSommaire du match
104 - 2024-01-21723Marlies3Firebirds4BWXXSommaire du match
107 - 2024-01-24743IceHogs2Firebirds4BWSommaire du match
109 - 2024-01-26758Thunderbirds7Firebirds1BLSommaire du match
111 - 2024-01-28774Monsters2Firebirds6BWSommaire du match
113 - 2024-01-30777Firebirds3Barracuda1AWSommaire du match
124 - 2024-02-10814Firebirds4Phantoms3AWSommaire du match
126 - 2024-02-12819Firebirds5Comets1AWSommaire du match
127 - 2024-02-13829Firebirds2Islanders5ALSommaire du match
129 - 2024-02-15837Firebirds3Bruins5ALSommaire du match
133 - 2024-02-19870Griffins5Firebirds7BWSommaire du match
136 - 2024-02-22897Canucks3Firebirds2BLSommaire du match
138 - 2024-02-24912Wild-Firebirds-
140 - 2024-02-26926Bruins-Firebirds-
143 - 2024-02-29950Penguins-Firebirds-
145 - 2024-03-02958Condors-Firebirds-
147 - 2024-03-04980Firebirds-Wranglers-
148 - 2024-03-05986Firebirds-Moose-
151 - 2024-03-081008Moose-Firebirds-
155 - 2024-03-121040Silver Knights-Firebirds-
157 - 2024-03-141056Bears-Firebirds-
159 - 2024-03-161070Admirals-Firebirds-
161 - 2024-03-181081Americans-Firebirds-
164 - 2024-03-211107Firebirds-Silver Knights-
165 - 2024-03-221112Firebirds-Roadrunners-
167 - 2024-03-241132Rocket-Firebirds-
169 - 2024-03-261146Gulls-Firebirds-
171 - 2024-03-281162Gulls-Firebirds-
173 - 2024-03-301178Stars-Firebirds-
175 - 2024-04-011188Firebirds-Barracuda-
177 - 2024-04-031201Firebirds-Reign-
179 - 2024-04-051215Firebirds-Gulls-
183 - 2024-04-091250Roadrunners-Firebirds-
185 - 2024-04-111263Barracuda-Firebirds-
187 - 2024-04-131271Firebirds-Stars-
188 - 2024-04-141283Firebirds-Thunderbirds-
190 - 2024-04-161300Firebirds-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
192 - 2024-04-181307Firebirds-Wild-



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
-17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
615,867$ 1,057,416$ 1,057,416$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 615,867$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 5,507$ 308,392$




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
1Arttu Ruotsalainen1571771233005518285681130613.55%214328620.9371017800111114757.64%171.83410
2Josh Mahura19959201260-5912868345751811.39%551452322.731922411530004520%11.1525
3Mason Shaw16494141235252233643193110.10%164282817.2547115300007353.52%51.6658
4Janne Kuokkanen825778135361044076179.24%98198324.19616227400038254.85%21.3627
5Adam Mascherin82625111313123926061510.08%93180722.04128208500017347.83%31.2515

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
1Filip Gustavsson82462740.9113.86457514329433100950.73534
2Yaroslav Askarov56322120.8773.02313844158128901300.8336

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
Saison régulière
10823732060343533449411717030131741704412015030211791745963535148675312913382153579116712151162693656108018915941603622.50%822174.39%01638307253.32%1743325753.52%751147550.92%179213092212547961452
118267101013273638-3654123701001138326-1884143400012135312-177192734687412012682638313498610841048315331162012418341242419.35%632166.67%1899236737.98%1029301834.10%574165634.66%141110002610545923387
1256292201220201176252616700210104812330131501010979526620130450504965448416235544845811013794074538713345917.66%1913880.10%2911164155.51%862159953.91%46684655.08%12659131484402626295
Total Saison régulière22072125082678271158-331108356104224416577-161112376404043411581-1701818271286211377351269193278336270727832791110103663107766429961811919.26%3368076.19%33448708048.70%3634787446.15%1791397745.03%446932236308149625111135
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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