Firebirds
GP: 11 | W: 6 | L: 5
GF: 42 | GA: 32 | PP%: 27.03% | PK%: 81.25%
DG: Alexandre Fyfe | Morale : 75 | Moyenne d’équipe : 64
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Centre de jeu
Penguins
11-9-0, 22pts
3
FINAL
1 Firebirds
6-5-0, 12pts
Team Stats
L2StreakL2
5-4-0Home Record3-3-0
6-5-0Away Record3-2-0
5-5-0Last 10 Games5-4-1
3.15Buts par match 3.82
3.20Buts contre par match 2.91
16.67%Pourcentage en avantage numérique27.03%
80.65%Pourcentage en désavantage numérique81.25%
Firebirds
6-5-0, 12pts
4
FINAL
5 Penguins
11-9-0, 22pts
Team Stats
L2StreakL2
3-3-0Home Record5-4-0
3-2-0Away Record6-5-0
5-4-1Last 10 Games5-5-0
3.82Buts par match 3.15
2.91Buts contre par match 3.20
27.03%Pourcentage en avantage numérique16.67%
81.25%Pourcentage en désavantage numérique80.65%
Meneurs d'équipe
Anton ForsbergVictoires
Anton Forsberg
4
Joey DaccordPourcentage d’arrêts
Joey Daccord
0.929

Statistiques d’équipe
Buts pour
42
3.82 GFG
Tirs pour
371
33.73 Avg
Pourcentage en avantage numérique
27.0%
10 GF
Début de zone offensive
40.5%
Buts contre
32
2.91 GAA
Tirs contre
393
35.73 Avg
Pourcentage en désavantage numérique
81.3%
6 GA
Début de la zone défensive
40.0%
Information d’équipe

Directeur généralAlexandre Fyfe
EntraîneurChris Taylor
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 80
Espoirs11


Historique d'équipe

Saison actuelle6-5
Historique52-27-9 (0.591%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)6-5
Stanley Cup0


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
1Alex Chiasson0XX100.006855786388768765596867646679730756603131,499,999$
2Nicolas Deslauriers0XX100.00938968638781866258636461627872075660302995,000$
3Egor Korshkov0XX100.00583592658285786658626863726967075650252700,000$
4Tyler Angle (R)0X100.00583593657179846677676864696163075650213925,000$
5Adam Brooks0X100.006035956568767967726664626669650756402531,200,000$
6Matthew Highmore0XXX100.00733592677087836266636164626966075640253968,000$
7Josh Dunne (R)0X100.00786779618866676272606456636562075630233925,000$
8Nate Sucese (R)0X100.00523788596482875655575853566965075590253925,000$
9Ville Meskanen0X100.00663789587569625760565159527166075590262700,000$
10Ben Hutton0X100.006835926482898469307159725475680756702831,000,000$
11Wyatt Kalynuk (R)0X100.00733594677682796830697266546768075670243925,000$
12Brett Kulak0X100.006736906876868866306956655273660756502731,430,000$
13Mikey Anderson0X100.00793888667487846330645976526367075650222925,000$
14Victor Soderstrom (R)0X100.00583592676882786830697056616266075650203925,000$
15Ryan Merkley (R)0X100.00573985636677825930605256486163075600213925,000$
Rayé
1Ryan Reaves0X100.009989786485788761556463625884750756703431,499,999$
2Dryden Hunt0XX100.009136826373818465626764616571660756602631,143,000$
3Danny O'Regan0X100.00573589667086916577666358627371075640271750,000$
4Calle Rosen0X100.00523888637580736230665760527367075620273850,000$
5Jerad Rosburg (R)0X100.00685570547782875330555256456965075580253925,000$
6William Lochead0X100.00653454567476735430535255456563075570232700,000$
MOYENNE D’ÉQUIPE100.0069448563768081635064616158706707564
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
1Jon Gillies100.0071949297706971706971707377075650273950,000$
2Joey Daccord100.0072817880717072717072716973075640253950,000$
Rayé
MOYENNE D’ÉQUIPE100.007288858971707271707271717507565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Taylor60666473746976CAN493750,000$


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
1Ben HuttonFirebirds (SEA)D111010201140221629132134.48%1028225.684481429000026200.00%000011.4200000210
2Egor KorshkovFirebirds (SEA)LW/RW11661280041933143018.18%622420.37112530000022031.25%1600001.0700000011
3Wyatt KalynukFirebirds (SEA)D1121012116038151691312.50%1127925.401561029000022020.00%000000.8600000001
4Alex ChiassonFirebirds (SEA)LW/RW114610840231540174010.00%023921.801013290001141040.91%2200000.8300000010
5Nicolas DeslauriersFirebirds (SEA)LW/RW11369-214046154014327.50%027725.191349290002280062.50%2400000.6500000000
6Brett KulakFirebirds (SEA)D113585001418152920.00%619617.84000312000012000.00%000000.8200000110
7Adam BrooksFirebirds (SEA)C1144830010313772910.81%318116.46000211000001051.35%22200000.8800000021
8Ryan ReavesFirebirds (SEA)RW6167-10014192110134.76%315125.291122110000210050.00%5800000.9200000100
9Tyler AngleFirebirds (SEA)C11426-30022639113410.26%323621.541121029000080052.76%29000000.5100000100
10Matthew HighmoreFirebirds (SEA)C/LW/RW6055100617212130.00%112721.17022517000000039.62%15900000.7900000000
11Mikey AndersonFirebirds (SEA)D6044-14021914370.00%713722.9101191700009000.00%000000.5800000001
12Nate SuceseFirebirds (SEA)LW111340005916166.25%416615.1000000000140040.00%1500000.4800000000
13Ryan MerkleyFirebirds (SEA)D1122414016871628.57%1117716.1700000000011000.00%000000.4500000100
14Josh DunneFirebirds (SEA)C112134201312162912.50%1867.8300001000000046.90%11300000.7000000000
15Ville MeskanenFirebirds (SEA)RW11033000118176150.00%216915.4500001000080075.00%800000.3500000000
16Victor SoderstromFirebirds (SEA)D8000-1408810290.00%1216520.72000618000014000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne15842731152462025324537111428611.32%80309919.611018287826900041856248.87%92700010.7400000664
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
1Anton ForsbergKraken54000.9262.5226200111480100.000050001
2Jon GilliesFirebirds (SEA)72310.9172.8639900192300010.000065111
3Joey DaccordFirebirds (SEA)10100.9292.0030001140000.000006000
Statistiques d’équipe totales ou en moyenne136410.9212.6969200313920110.00001111112


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 restantSalaire moyenSalaire moyen 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
Adam BrooksFirebirds (SEA)C255/6/1996No185 Lbs5 ft10NoNoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien / Lien NHL
Alex ChiassonFirebirds (SEA)LW/RW3110/1/1990No208 Lbs6 ft4NoNoNo3Pro & Farm1,499,999$1,499,999$0$0$No1,499,999$1,499,999$Lien / Lien NHL
Ben HuttonFirebirds (SEA)D284/20/1993No206 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Brett KulakFirebirds (SEA)D271/6/1994No192 Lbs6 ft1NoNoNo3Pro & Farm1,430,000$1,307,000$0$0$No1,430,000$1,430,000$Lien / Lien NHL
Calle RosenFirebirds (SEA)D272/2/1994No186 Lbs6 ft1NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Danny O'ReganFirebirds (SEA)C271/30/1994No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Dryden HuntFirebirds (SEA)C/LW2611/24/1995No193 Lbs6 ft0NoNoNo3Pro & Farm1,143,000$1,143,000$0$0$No1,143,000$1,143,000$Lien / Lien NHL
Egor KorshkovFirebirds (SEA)LW/RW257/10/1996No180 Lbs6 ft4NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Jerad RosburgFirebirds (SEA)D256/18/1996Yes200 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Joey DaccordFirebirds (SEA)G258/19/1996No197 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jon GilliesFirebirds (SEA)G271/22/1994No223 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Josh DunneFirebirds (SEA)C2312/8/1998Yes210 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Matthew HighmoreFirebirds (SEA)C/LW/RW252/27/1996No188 Lbs5 ft11NoNoNo3Pro & Farm968,000$968,000$0$0$No968,000$968,000$Lien / Lien NHL
Mikey AndersonFirebirds (SEA)D225/25/1999No197 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Nate SuceseFirebirds (SEA)LW257/12/1996Yes174 Lbs5 ft9NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Nicolas DeslauriersFirebirds (SEA)LW/RW302/22/1991No219 Lbs6 ft3NoNoNo2Pro & Farm995,000$995,000$0$0$No995,000$Lien / Lien NHL
Ryan MerkleyFirebirds (SEA)D218/14/2000Yes170 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Ryan ReavesFirebirds (SEA)RW341/20/1987No225 Lbs6 ft2NoNoNo3Pro & Farm1,499,999$1,499,999$0$0$No1,499,999$1,499,999$Lien / Lien NHL
Tyler AngleFirebirds (SEA)C219/30/2000Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Victor SoderstromFirebirds (SEA)D202/26/2001Yes179 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Ville MeskanenFirebirds (SEA)RW2610/2/1995No188 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
William LocheadFirebirds (SEA)D233/30/1998No197 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Wyatt KalynukFirebirds (SEA)D244/14/1997Yes180 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.52193 Lbs6 ft12.70988,522$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersTyler Angle40122
2Alex ChiassonMatthew HighmoreEgor Korshkov30122
3Nate SuceseAdam BrooksVille Meskanen20122
4Josh DunneNicolas Deslauriers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton40122
2Victor SoderstromMikey Anderson30122
3Brett KulakRyan Merkley20122
4Wyatt KalynukBen Hutton10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersTyler Angle60122
2Alex ChiassonMatthew HighmoreEgor Korshkov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor SoderstromMikey Anderson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas Deslauriers60122
2Alex ChiassonTyler Angle40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor SoderstromMikey Anderson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Wyatt KalynukBen Hutton60122
2Nicolas Deslauriers40122Victor SoderstromMikey Anderson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas Deslauriers60122
2Alex ChiassonTyler Angle40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor SoderstromMikey Anderson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersTyler AngleWyatt KalynukBen Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersTyler AngleWyatt KalynukBen Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Josh Dunne, Ville MeskanenAdam Brooks, Josh DunneVille Meskanen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Kulak, Ryan Merkley, Victor SoderstromBrett KulakRyan Merkley, Victor Soderstrom
Tirs de pénalité
, Nicolas Deslauriers, Alex Chiasson, Tyler Angle, Egor Korshkov
Gardien
#1 : Jon Gillies, #2 : Joey Daccord
Lignes d’attaque personnalisées en prolongation
, Nicolas Deslauriers, Alex Chiasson, Tyler Angle, Egor Korshkov, Matthew Highmore, Matthew Highmore, Adam Brooks, Josh Dunne, Ville Meskanen, Nate Sucese
Lignes de défense personnalisées en prolongation
Wyatt Kalynuk, Ben Hutton, Victor Soderstrom, Mikey Anderson, Brett Kulak


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
1Comets541000002313103210000014952200000094580.80023396200141512117510712412317168433411515320.00%17382.35%019940449.26%18639946.62%9219547.18%2781932688014874
2Penguins62400000191903120000079-2312000001210240.33319355410141512119610712412317225433014522731.82%15380.00%019940449.26%18639946.62%9219547.18%2781932688014874
Total11650000042321063300000211835320000021147120.5454274116101415121371107124123173938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874
_Since Last GM Reset11650000042321063300000211835320000021147120.5454274116101415121371107124123173938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874
_Vs Conference11650000042321063300000211835320000021147120.5454274116101415121371107124123173938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L24274116371393866426010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500004232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200002114
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
371027.03%32681.25%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
107124123171415121
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
19940449.26%18639946.62%9219547.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2781932688014874


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 - 2022-04-121Comets1Firebirds5BWSommaire du match
3 - 2022-04-149Comets6Firebirds5BLSommaire du match
5 - 2022-04-1617Firebirds5Comets2AWSommaire du match
7 - 2022-04-1825Firebirds4Comets2AWSommaire du match
9 - 2022-04-2033Comets2Firebirds4BWSommaire du match
15 - 2022-04-2657Penguins2Firebirds3BWXSommaire du match
17 - 2022-04-2861Penguins4Firebirds3BLSommaire du match
19 - 2022-04-3065Firebirds3Penguins4ALXSommaire du match
21 - 2022-05-0269Firebirds5Penguins1AWSommaire du match
23 - 2022-05-0473Penguins3Firebirds1BLSommaire du match
25 - 2022-05-0677Firebirds4Penguins5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets155
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 43,750$262,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,273,600$ 1,833,800$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Tyler Angle75325688282922030910.36%24141118.81517224700004556.46%11.2502
2Egor Korshkov82355085266181413549.89%26154818.88105156600009050.00%01.1003
3Ryan Reaves8029467596632614729010.00%23195124.40511164710175148.48%00.7724
4Nicolas Deslauriers82284472197833511525311.07%20170720.8287155803324256.90%00.8413
5Brett Kulak8213566919321411111329.85%106168020.4941115601011200.00%00.8200

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
1Anton Forsberg2615810.9063.40143181818580100.5717
2Jon Gillies20000.8923.6466004370000.0000

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
23824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
Total Saison régulière824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
2311650000042321063300000211835320000021147124274116101415121371107124123173938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874
Total Séries éliminatoires11650000042321063300000211835320000021147124274116101415121371107124123173938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874

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
1Ben Hutton1110102011422162934.48%1028225.68448140000200.00%11.4200
2Wyatt Kalynuk112101211638151612.50%1127925.40156100000020.00%00.8600
3Egor Korshkov116612804193318.18%622420.37112500002031.25%01.0700
4Alex Chiasson1146108423154010.00%023921.80101300011040.91%00.8300
5Nicolas Deslauriers11369-2144615407.50%027725.19134900020062.50%00.6500

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
1Anton Forsberg54000.9262.5226200111480100.0000
2Jon Gillies72310.9172.8639900192300010.0000
3Joey Daccord10100.9292.0030001140000.0000