Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Please rotate your device to landscape mode for a better experience.
Connexion

Firebirds
GP: 82 | W: 6 | L: 75 | OTL: 1 | P: 13
GF: 135 | GA: 573 | PP%: 6.31% | PK%: 65.79%
DG: Matt L | Morale : 50 | Moyenne d’équipe : 59

Centre de jeu
Firebirds
6-75-1, 13pts
0
FINAL
11 Stars
30-46-6, 66pts
Team Stats
OTW1SéquenceL1
4-36-1Fiche domicile14-23-4
2-39-0Fiche domicile16-23-2
1-9-0Derniers 10 matchs4-6-0
1.65Buts par match 4.30
6.99Buts contre par match 4.89
6.31%Pourcentage en avantage numérique15.29%
65.79%Pourcentage en désavantage numérique73.48%
Firebirds
6-75-1, 13pts
4
FINAL
3 Islanders
7-71-4, 18pts
Team Stats
OTW1SéquenceOTL1
4-36-1Fiche domicile3-35-3
2-39-0Fiche domicile4-36-1
1-9-0Derniers 10 matchs0-9-1
1.65Buts par match 1.70
6.99Buts contre par match 7.43
6.31%Pourcentage en avantage numérique10.62%
65.79%Pourcentage en désavantage numérique69.93%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
135
1.65 GFG
Tirs pour
1506
18.37 Avg
Pourcentage en avantage numérique
6.3%
14 GF
Début de zone offensive
26.6%
Buts contre
573
6.99 GAA
Tirs contre
4036
49.22 Avg
Pourcentage en désavantage numérique
65.8%%
39 GA
Début de la zone défensive
46.8%
Informations de l'équipe

Directeur généralMatt L
EntraîneurBrett McLean
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,854
Billets de saison0


Informations de la formation

Équipe Pro16
Équipe Mineure19
Limite contact 35 / 51
Espoirs43


Historique d'équipe

Saison actuelle6-75-1 (13PTS)
Historique6-75-2 (0.072%)
Apparitions en séries éliminatoires 0
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
1Riley TufteXX100.008388727388768064505865696246466850650281775,000$
2Brian PinhoXX100.007871946771778064805966666344456750640301775,000$
3Rocco GrimaldiXX100.006859906859788165506562615944456650620331900,000$
4Olle LycksellX100.006541967059617866447155602548486450610261797,500$
5Hunter Haight (R)X100.007266876666788358735061625844446250600223865,833$
6Carson MeyerX100.00726980656954526350606263594444635059N02831,000,000$
7Mason MorelliXX100.007674796674626456504662635944446150580302775,000$
8Riley SutterX100.008180836180667147504346634444445450550263900,000$
9Ryan McGregorX100.007971986571474652655346644444445550550273900,000$
10Zach DeanX100.007567926867393750635044614244445250530232863,333$
11Jack Williams (R)X100.007767998067454644503844614244445250530241775,000$
12Quinn Hutson (R)X100.007463998063464744503844594244445250520241775,000$
13Mike ReillyX100.00594196757266457125494764256971575062N03221,250,000$
14Connor CarrickX100.006769616669747861254958605544456150600321800,000$
Rayé
MOYENNE D’ÉQUIPE100.00736688697062635852525463494647605059
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
1Aleksei Kolosov (R)100.00605453706554696165607545456150600243925,000$
2Drew Commesso (R)100.00585366706063566363623044445950590233925,000$
Rayé
MOYENNE D’ÉQUIPE100.0059546070635963626461534545605060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brett McLean72706566696480CAN451500,000$


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
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 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 Salaire restantPlafond 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
Aleksei KolosovFirebirds (SEA)G242002-01-04BLRYes185 Lbs6 ft1NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Brian PinhoFirebirds (SEA)C/RW301995-05-11USANo190 Lbs6 ft1NoNoTrade2025-08-19NoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Carson MeyerFirebirds (SEA)RW281997-08-18USANo193 Lbs5 ft11YesNoFree AgentNoYes32025-08-27FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien
Connor CarrickFirebirds (SEA)D321994-04-13USANo192 Lbs5 ft11NoNoFree AgentNoYes12024-08-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Drew CommessoFirebirds (SEA)G232002-07-19USAYes180 Lbs6 ft2NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Hunter HaightFirebirds (SEA)C222004-04-04CANYes181 Lbs5 ft11NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm865,833$0$0$No865,833$865,833$-------865,833$865,833$-------NoNo-------Lien
Jack WilliamsFirebirds (SEA)RW242002-03-02USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-08-07FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Mason MorelliFirebirds (SEA)C/LW301996-02-01USANo208 Lbs6 ft0NoNoTrade2025-08-19NoYes22024-08-16FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Mike ReillyFirebirds (SEA)D321993-07-13USANo191 Lbs6 ft2YesNoFree AgentNoYes22025-08-21FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------Yes--------Lien / Lien NHL
Olle LycksellFirebirds (SEA)RW261999-08-24SWENo163 Lbs5 ft10NoNoTrade2025-08-02NoYes1FalseFalsePro & Farm797,500$0$0$No---------------------------Lien
Quinn HutsonFirebirds (SEA)RW242002-01-01USAYes170 Lbs5 ft11NoNoAssign ManuallyNoNo12025-08-07FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Riley SutterFirebirds (SEA)RW261999-10-25CANNo211 Lbs6 ft4NoNoFree AgentNoYes32025-08-15FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien / Lien NHL
Riley TufteFirebirds (SEA)LW/RW281998-04-10USANo230 Lbs6 ft6NoNoTrade2025-08-19NoYes12025-08-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Rocco GrimaldiFirebirds (SEA)LW/RW331993-02-08USANo179 Lbs5 ft6NoNoFree AgentNoYes12024-08-08FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Ryan McGregorFirebirds (SEA)C271999-01-29ONTNo195 Lbs6 ft0NoNoFree AgentNoYes32025-08-15FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Zach DeanFirebirds (SEA)C232003-01-04CANNo186 Lbs5 ft11NoNoTrade2025-03-16NoNo22024-07-15FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1627.00190 Lbs6 ft01.94875,104$



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 Americans40400000430-2620200000215-1320200000215-1300.00048120052404224850347851811159436312214.55%3233.33%0389137928.21%601242924.74%340138124.62%9296023154584840290
2Admirals40400000822-142020000029-720200000613-700.000816240052404229150347851811231672075900.00%8450.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
3Barracuda30300000227-2520200000116-1510100000111-1000.00024600524042227503478518111444718369111.11%3233.33%0389137928.21%601242924.74%340138124.62%9296023154584840290
4Bears21000001111101000000178-11100000043130.750112132005240422635034785181113636648200.00%3166.67%0389137928.21%601242924.74%340138124.62%9296023154584840290
5Bruins20200000319-1610100000110-91010000029-700.00036900524042225503478518111122412276116.67%6350.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
6Canucks30300000413-92020000049-51010000004-400.0004812005240422325034785181114042422800.00%20100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
7Checkers20200000114-131010000017-61010000007-700.00012300524042226503478518117627616400.00%20100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
8Comets20200000312-91010000035-21010000007-700.000369005240422495034785181113231249500.00%10100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
9Condors2020000059-41010000045-11010000014-300.000510150052404222750347851811732210321000.00%5180.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
10Crunch20200000116-151010000009-91010000017-600.0001230052404222850347851811943111277114.29%3233.33%0389137928.21%601242924.74%340138124.62%9296023154584840290
11Eagles20200000015-151010000008-81010000007-700.00000000524042212503478518118025621800.00%30100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
12Griffins20200000115-141010000007-71010000018-700.000123005240422275034785181110134817500.00%40100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
13Gulls21100000770110000005411010000023-120.500714210052404221065034785181182284532150.00%20100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
14Ice Hogs422000002019122000000129320200000810-240.500203959005240422201503478518111855210134300.00%50100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
15Islanders20101000910-11010000057-21000100043120.50091726005240422635034785181110034634200.00%30100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
16Marlies20200000214-121010000018-71010000016-500.000246005240422305034785181197216227114.29%30100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
17Monsters20200000215-131010000028-61010000007-700.000246005240422255034785181111623414900.00%2150.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
18Moose50500000443-3920200000017-1730300000426-2200.000481200524042238503478518112586720361516.67%10550.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
19Penguins20200000314-111010000018-71010000026-400.0003690052404224750347851811139336404125.00%3166.67%0389137928.21%601242924.74%340138124.62%9296023154584840290
20Phantoms30300000126-251010000008-820200000118-1700.00012300524042222503478518111292310291100.00%5340.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
21Reign20200000213-111010000017-61010000016-500.00024600524042215503478518118625433800.00%20100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
22Roadrunners20200000711-41010000045-11010000036-300.0007142100524042284503478518118831444400.00%10100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
23Rocket20200000014-141010000007-71010000007-700.00000000524042210503478518118635218200.00%10100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
24Senators20200000112-111010000004-41010000018-700.00012300524042222503478518119428619800.00%3166.67%0389137928.21%601242924.74%340138124.62%9296023154584840290
25Silver Knights40400000231-2920200000114-1320200000117-1600.0002460052404223850347851811147528301200.00%40100.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
26Stars40400000739-3220200000518-1320200000221-1900.0007142100524042279503478518112978016537114.29%7357.14%0389137928.21%601242924.74%340138124.62%9296023154584840290
27Thunderbirds413000001624-821100000108220200000616-1020.25016324800524042213450347851811194511288300.00%6266.67%0389137928.21%601242924.74%340138124.62%9296023154584840290
28Wild40400000335-3220200000112-1120200000223-2100.000369005240422475034785181116958124115213.33%6350.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
29Wolf Pack20200000215-131010000017-61010000018-700.00024600524042232503478518118929622800.00%3166.67%0389137928.21%601242924.74%340138124.62%9296023154584840290
30Wolves2020000028-61010000015-41010000013-200.0002460052404223050347851811831661811100.00%3233.33%0389137928.21%601242924.74%340138124.62%9296023154584840290
31Wranglers20200000220-1810100000110-910100000110-900.0002460052404222850347851811119292156233.33%220.00%0389137928.21%601242924.74%340138124.62%9296023154584840290
Total8257501001135573-438414360000176274-198411390100059299-240130.079135267402005240422150650347851811403611442531144222146.31%1143965.79%0389137928.21%601242924.74%340138124.62%9296023154584840290
_Since Last GM Reset8257501001135573-438414360000176274-198411390100059299-240130.079135267402005240422150650347851811403611442531144222146.31%1143965.79%0389137928.21%601242924.74%340138124.62%9296023154584840290
_Vs Conference484440000089345-256244200000049157-108240240000040188-14880.0838917726600524042297550347851811231267715272213396.77%672464.18%0389137928.21%601242924.74%340138124.62%9296023154584840290
_Vs Division293300000065208-14314313000003486-52150170000031122-9160.103651291940052404226865034785181115024311004926446.25%461763.04%0389137928.21%601242924.74%340138124.62%9296023154584840290

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8213OTW1135267402150640361144253114400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
825751001135573
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41436000176274
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41139100059299
Derniers 10 matchs
WLOTWOTL SOWSOL
091000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
222146.31%1143965.79%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
503478518115240422
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
389137928.21%601242924.74%340138124.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9296023154584840290


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
212Firebirds1Moose10LSommaire du match
428Moose11Firebirds0LSommaire du match
645Admirals5Firebirds2LSommaire du match
860Firebirds1Phantoms10LSommaire du match
1077Wild8Firebirds1LSommaire du match
15103Thunderbirds6Firebirds5LSommaire du match
18124Firebirds1 Americans7LSommaire du match
19135Canucks4Firebirds2LSommaire du match
22159Firebirds0Silver Knights10LSommaire du match
24167Barracuda6Firebirds1LSommaire du match
26179Firebirds3Admirals7LSommaire du match
28197Stars9Firebirds3LSommaire du match
30216Firebirds1Wild11LSommaire du match
31226Firebirds4Ice Hogs5LSommaire du match
34241Ice Hogs5Firebirds6WSommaire du match
36260 Americans7Firebirds1LSommaire du match
40289Ice Hogs4Firebirds6WSommaire du match
42303Firebirds0Comets7LSommaire du match
44319Firebirds3Roadrunners6LSommaire du match
45326Barracuda10Firebirds0LSommaire du match
49350Firebirds0Monsters7LSommaire du match
50361Marlies8Firebirds1LSommaire du match
54386Admirals4Firebirds0LSommaire du match
56405Firebirds4Ice Hogs5LSommaire du match
58420Checkers7Firebirds1LSommaire du match
60437Firebirds1Barracuda11LSommaire du match
62452Condors5Firebirds4LSommaire du match
64465Firebirds0Checkers7LSommaire du match
66477Firebirds1Wolf Pack8LSommaire du match
67487 Americans8Firebirds1LSommaire du match
70512Firebirds0Phantoms8LSommaire du match
71519Canucks5Firebirds2LSommaire du match
75543Firebirds2Penguins6LSommaire du match
77553Phantoms8Firebirds0LSommaire du match
79569Firebirds1Senators8LSommaire du match
81585Wolves5Firebirds1LSommaire du match
83605Firebirds3Admirals6LSommaire du match
85613Comets5Firebirds3LSommaire du match
88640Firebirds1Crunch7LSommaire du match
89646Islanders7Firebirds5LSommaire du match
92673Firebirds4Bears3WSommaire du match
93680Rocket7Firebirds0LSommaire du match
96702Firebirds4Thunderbirds8LSommaire du match
98712Bears8Firebirds7LXXSommaire du match
101739Thunderbirds2Firebirds5WSommaire du match
104759Firebirds1Reign6LSommaire du match
106773Senators4Firebirds0LSommaire du match
110800Firebirds1Condors4LSommaire du match
111807Griffins7Firebirds0LSommaire du match
114830Firebirds2Bruins9LSommaire du match
115837Wild4Firebirds0LSommaire du match
119867Moose6Firebirds0LSommaire du match
123897Firebirds1Silver Knights7LSommaire du match
124901Gulls4Firebirds5WSommaire du match
127921Firebirds1 Americans8LSommaire du match
129932Bruins10Firebirds1LSommaire du match
131947Firebirds0Eagles7LSommaire du match
133964Wranglers10Firebirds1LSommaire du match
135978Firebirds0Canucks4LSommaire du match
137996Penguins8Firebirds1LSommaire du match
1391007Firebirds1Wild12LSommaire du match
1411020Firebirds2Gulls3LSommaire du match
1421030Eagles8Firebirds0LSommaire du match
1461053Firebirds2Thunderbirds8LSommaire du match
1471062Roadrunners5Firebirds4LSommaire du match
1511091Firebirds2Stars10LSommaire du match
1521097Monsters8Firebirds2LSommaire du match
1551124Wolf Pack7Firebirds1LSommaire du match
1571141Firebirds1Wranglers10LSommaire du match
1591155Stars9Firebirds2LSommaire du match
1601157Firebirds0Rocket7LSommaire du match
1631185Crunch9Firebirds0LSommaire du match
1641189Firebirds1Marlies6LSommaire du match
1661203Firebirds1Wolves3LSommaire du match
1691221Reign7Firebirds1LSommaire du match
1701237Firebirds1Griffins8LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731252Silver Knights9Firebirds1LSommaire du match
1741260Firebirds1Moose7LSommaire du match
1771283Silver Knights5Firebirds0LSommaire du match
1781289Firebirds2Moose9LSommaire du match
1791293Firebirds0Stars11LSommaire du match
1811304Firebirds4Islanders3WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets530
Assistance78,06938,960
Assistance PCT95.21%95.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2854 - 95.15% 100,918$4,137,657$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,956,950$ 1,400,166$ 1,400,166$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,610$ 1,457,022$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,327$ 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
Saison régulière
20258257501001135573-438414360000176274-198411390100059299-24013135267402005240422150650347851811403611442531144222146.31%1143965.79%0389137928.21%601242924.74%340138124.62%9296023154584840290
Total Saison régulière8257501001135573-438414360000176274-198411390100059299-24013135267402005240422150650347851811403611442531144222146.31%1143965.79%0389137928.21%601242924.74%340138124.62%9296023154584840290
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