Connexion

Firebirds
GP: 19 | W: 8 | L: 11 | OTL: 0 | P: 16
GF: 56 | GA: 59 | PP%: 15.49% | PK%: 81.82%
DG: Alexandre Bélanger | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #310 vs Wranglers
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Centre de jeu
Firebirds
8-11-0, 16pts
3
FINAL
4 Texas Stars
11-7-1, 23pts
Team Stats
L3StreakL1
4-5-0Home Record6-3-1
4-6-0Away Record5-4-0
5-5-0Last 10 Games6-4-0
2.95Buts par match 3.37
3.11Buts contre par match 3.42
15.49%Pourcentage en avantage numérique26.83%
81.82%Pourcentage en désavantage numérique75.00%
Canucks
8-8-3, 19pts
6
FINAL
2 Firebirds
8-11-0, 16pts
Team Stats
W1StreakL3
4-2-3Home Record4-5-0
4-6-0Away Record4-6-0
3-5-2Last 10 Games5-5-0
3.00Buts par match 2.95
3.00Buts contre par match 3.11
27.14%Pourcentage en avantage numérique15.49%
80.72%Pourcentage en désavantage numérique81.82%
Wranglers
13-0-6, 32pts
2022-11-29
Firebirds
8-11-0, 16pts
Statistiques d’équipe
W1SéquenceL3
6-0-3Fiche domicile4-5-0
7-0-3Fiche visiteur4-6-0
6-0-410 derniers matchs5-5-0
4.74Buts par match 2.95
3.58Buts contre par match 3.11
28.92%Pourcentage en avantage numérique15.49%
80.65%Pourcentage en désavantage numérique81.82%
Firebirds
8-11-0, 16pts
2022-12-01
Rockets
15-4-1, 31pts
Statistiques d’équipe
L3SéquenceW2
4-5-0Fiche domicile8-1-0
4-6-0Fiche visiteur7-3-1
5-5-010 derniers matchs7-2-1
2.95Buts par match 4.20
3.11Buts contre par match 3.15
15.49%Pourcentage en avantage numérique27.50%
81.82%Pourcentage en désavantage numérique82.19%
Firebirds
8-11-0, 16pts
2022-12-03
Wolves
13-5-1, 27pts
Statistiques d’équipe
L3SéquenceW3
4-5-0Fiche domicile7-2-0
4-6-0Fiche visiteur6-3-1
5-5-010 derniers matchs6-3-1
2.95Buts par match 3.95
3.11Buts contre par match 3.63
15.49%Pourcentage en avantage numérique18.31%
81.82%Pourcentage en désavantage numérique86.96%
Meneurs d'équipe
Buts
Nolan Patrick
2
Passes
Jacob Bryson
4
Points
Nolan Patrick
5
Plus/Moins
Jacob Bryson
3
Victoires
Eric Comrie
8
Pourcentage d’arrêts
Michael Hutchinson
1

Statistiques d’équipe
Buts pour
56
2.95 GFG
Tirs pour
673
35.42 Avg
Pourcentage en avantage numérique
15.5%
11 GF
Début de zone offensive
43.3%
Buts contre
59
3.11 GAA
Tirs contre
681
35.84 Avg
Pourcentage en désavantage numérique
81.8%
10 GA
Début de la zone défensive
39.8%
Information d’équipe

Directeur généralAlexandre Bélanger
EntraîneurWayne Gretzky
DivisionPACIFIQUE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité4,000
Assistance3,418
Billets de saison400


Information formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 55
Espoirs11


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
1Julien Gauthier0X100.008038916792768166546563596564660507102541,727,000$
2Drew O'Connor0X100.007039916583848066716763606964660507002431,160,000$
3Mike Hardman0X100.008639936481828763556264596263650507002342,000,000$
4Arttu Ruotsalainen0X100.00623689677087866470656861696567050690251925,000$
5Tyson Foerster0X100.00623878697977806672636762685964050690203863,333$
6Jesper Froden0X100.006237826866898067636166656968700506902821,000,000$
7Matthew Highmore0X100.00653682647081836374626176646667050690261805,000$
8Axel Jonsson-Fjallby0X100.00643791657583876158606261676566050680241988,000$
9Sheldon Dries0X100.00643789676586826572626661666869050680281800,000$
10Michael Carcone0X100.00674071626389876360596457676867050670261800,000$
11Josh Currie0X100.00503595656573756469626461647775050660301800,000$
12Andreas Wingerli0X100.00583686676277856256596063616567050660252820,000$
13Travis Dermott0X100.00633887717684886730665763506769050700253914,000$
14Zac Jones0X100.00573693657085816430735865506266050690221925,000$
15Dylan Samberg0X100.008371796281807659306656624963650506802311,175,000$
16Tyler Lewington0X100.00674365607978805930675865506870050680271750,000$
17Jack Ahcan0X100.00633592656785766430626559536567050670252700,000$
18Adam Clendening0X100.006441726073769559306654574870720506603021,000,000$
Rayé
1Brad Malone0X100.008242866184838062756364656274780507103311,000,000$
2Gregory Hofmann0X74.20623580717378726668655759626971050680301750,000$
3Cole Maier0X100.006733746076909259655860576067690506702721,140,000$
4Danila Klimovich (R)0X100.00623483588179855952585756616062050650193925,000$
5Zach Nastasiuk0X100.00723592568177825452535557547166050640272750,000$
6Brett McKenzie0X100.00683989577865725653555458546567050630252900,000$
7Tarmo Reunanen0X100.00643686657178736430665763516466050670241925,000$
8Trenton Bourque0X100.00714286568065705430555356456563050620243750,000$
MOYENNE D’ÉQUIPE99.0067398564758081625362616159666805068
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
1Eric Comrie100.0081888472807981807981806677050800271823,000$
2Kevin Poulin100.0075747582747375747375747286050770321800,000$
Rayé
1Michael Hutchinson100.00747576847372747372747375860507703212,000,000$
2Linden Marshall100.0075656682747375747375746471050750242750,000$
3Victor Brattstrom100.0067757686666567666567666573050710251925,000$
MOYENNE D’ÉQUIPE100.007475758173727473727473687905076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky75757575757575Can6150$


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
1Zac JonesFirebirds (KRA)D161181916014202914303.45%2935822.390661349011045000.00%000001.0600000000
2Jesper FrodenFirebirds (KRA)RW19109197140194073135113.70%134918.392351464000092038.10%4200001.0900000201
3Travis DermottFirebirds (KRA)D193151822027263052210.00%3043322.801231860000049000.00%000000.8300000100
4Matthew HighmoreFirebirds (KRA)C197815240225870205910.00%1036419.190228450110292050.13%37700000.8200000021
5Drew O'ConnorFirebirds (KRA)LW186814-200173156155210.71%537620.9332514500001340062.07%2900000.7400000112
6Tyson FoersterFirebirds (KRA)C16459-10201548578447.02%430118.8221310320002300052.36%40300000.6001000010
7Julien GauthierFirebirds (KRA)RW16729-110041215664612.50%331019.392027360000191040.63%6400000.5800000300
8Arttu RuotsalainenFirebirds (KRA)C16358-30013344214307.14%332120.0613412500000371048.87%44400000.5000000010
9Tyler LewingtonFirebirds (KRA)D19268-524039172810157.14%2137019.511121239000032000.00%000000.4300000001
10Josh CurrieFirebirds (KRA)RW16516-30031849113410.20%220312.71000215000000142.86%1400000.5900000000
11Nolan PatrickKrakenC52352003111051220.00%16212.5300007000010064.00%7500001.6000000010
12Tarmo ReunanenFirebirds (KRA)D13055-78014911260.00%1019114.750001000000000.00%000000.5200000000
13Mike HardmanFirebirds (KRA)LW19325316057244311286.98%439120.621018591012380040.00%2500000.2600000010
14Sheldon DriesFirebirds (KRA)C19145-2408323714312.70%321911.5700000000000054.24%23600000.4500000001
15Dylan SambergFirebirds (KRA)D19134-22555413139247.69%2641221.74000661000038000.00%000000.1900010001
16Jacob BrysonKrakenD70443201414134100.00%1216123.11011922000114000.00%000000.4900000000
17Michael CarconeFirebirds (KRA)LW19134-66023172410174.17%122411.7900000000001050.00%1200000.3600000010
18Gregory HofmannFirebirds (KRA)C1331440088215714.29%11027.89000312000001037.78%4500000.7800000011
19Adam ClendeningFirebirds (KRA)D140333601485180.00%2217412.450001100003000.00%000000.3400000001
20Jack AhcanFirebirds (KRA)D15022-240111518480.00%1626217.52011421000020000.00%000000.1500000000
21Andreas WingerliFirebirds (KRA)LW12112-200510105810.00%2796.6400000000010037.35%8300000.5000000000
22Axel Jonsson-FjallbyFirebirds (KRA)LW5000-100234030.00%0306.0100000000000025.00%400000.0000000000
23Cole MaierFirebirds (KRA)C15000000841110.00%1453.0700003000000040.82%4900000.0000000000
24Danila KlimovichFirebirds (KRA)RW2000000000000.00%0105.130000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne35160108168-1913354314817001875468.57%207575916.4113223514263512364098149.63%190200000.5801010799
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
1Eric ComrieFirebirds (KRA)1981100.9083.24107401586320000.0000190211
2Kevin PoulinFirebirds (KRA)10000.9232.6123001130000.000008000
3Michael HutchinsonFirebirds (KRA)10001.0000.0035000360000.0000011000
Statistiques d’équipe totales ou en moyenne2181100.9133.12113401596810000.00001919211


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 moyenPlafond 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 ClendeningFirebirds (KRA)D301992-10-26No194 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$768,817$1,000,000$0$0$No1,000,000$Lien
Andreas WingerliFirebirds (KRA)LW251997-09-11No170 Lbs5 ft8NoNoNo2Pro & Farm820,000$630,430$820,000$0$0$No820,000$Lien
Arttu RuotsalainenFirebirds (KRA)C251997-10-29No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Axel Jonsson-FjallbyFirebirds (KRA)LW241998-02-10No189 Lbs6 ft1NoNoNo1Pro & Farm988,000$759,591$650,000$0$0$NoLien
Brad MaloneFirebirds (KRA)C331989-05-20No217 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$768,817$1,000,000$0$0$NoLien
Brett McKenzieFirebirds (KRA)LW251997-03-12No190 Lbs6 ft2NoNoNo2Pro & Farm900,000$691,935$900,000$0$0$No900,000$Lien
Cole MaierFirebirds (KRA)C271995-06-24No194 Lbs6 ft1NoNoNo2Pro & Farm1,140,000$876,451$650,000$0$0$No1,140,000$Lien
Danila KlimovichFirebirds (KRA)RW192003-01-09Yes202 Lbs6 ft2NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$
Drew O'ConnorFirebirds (KRA)LW241998-06-09No200 Lbs6 ft3NoNoNo3Pro & Farm1,160,000$891,827$1,160,000$0$0$No1,160,000$1,160,000$Lien
Dylan SambergFirebirds (KRA)D231999-01-24No190 Lbs6 ft3NoNoNo1Pro & Farm1,175,000$903,360$600,000$0$0$NoLien
Eric ComrieFirebirds (KRA)G271995-07-06No175 Lbs6 ft1NoNoNo1Pro & Farm823,000$632,736$863,000$0$0$NoLien
Gregory HofmannFirebirds (KRA)C301992-11-13No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Jack AhcanFirebirds (KRA)D251997-05-18No180 Lbs5 ft9NoNoNo2Pro & Farm700,000$538,172$600,000$0$0$No700,000$Lien
Jesper FrodenFirebirds (KRA)RW281994-09-21No179 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$768,817$1,000,000$0$0$No1,000,000$Lien
Josh CurrieFirebirds (KRA)RW301992-10-29No172 Lbs5 ft10NoNoNo1Pro & Farm800,000$615,053$800,000$0$0$NoLien
Julien GauthierFirebirds (KRA)RW251997-10-15No227 Lbs6 ft4NoNoNo4Pro & Farm1,727,000$1,327,747$650,000$0$0$No1,727,000$1,727,000$1,727,000$Lien
Kevin PoulinFirebirds (KRA)G321990-04-12No206 Lbs6 ft2NoNoNo1Pro & Farm800,000$615,053$800,000$0$0$NoLien
Linden MarshallFirebirds (KRA)G241998-07-21No194 Lbs6 ft3NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Matthew HighmoreFirebirds (KRA)C261996-02-27No188 Lbs5 ft11NoNoNo1Pro & Farm805,000$618,897$0$0$NoLien
Michael CarconeFirebirds (KRA)LW261996-05-19No170 Lbs5 ft9NoNoNo1Pro & Farm800,000$615,053$650,000$0$0$NoLien
Michael HutchinsonFirebirds (KRA)G321990-03-02No201 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$1,537,634$2,000,000$0$0$NoLien
Mike HardmanFirebirds (KRA)LW231999-02-05No205 Lbs6 ft2NoNoNo4Pro & Farm2,000,000$1,537,634$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$Lien
Sheldon DriesFirebirds (KRA)C281994-04-23No180 Lbs5 ft9NoNoNo1Pro & Farm800,000$615,053$800,000$0$0$NoLien
Tarmo ReunanenFirebirds (KRA)D241998-03-01No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Travis DermottFirebirds (KRA)D251996-12-22No202 Lbs6 ft0NoNoNo3Pro & Farm914,000$702,698$525,000$0$0$No914,000$914,000$Lien
Trenton BourqueFirebirds (KRA)D241998-06-11No200 Lbs6 ft2NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Tyler LewingtonFirebirds (KRA)D271994-12-05No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Tyson FoersterFirebirds (KRA)C202002-01-18No194 Lbs6 ft2NoNoNo3Pro & Farm863,333$663,745$700,000$0$0$No863,333$863,333$Lien
Victor BrattstromFirebirds (KRA)G251997-03-22No200 Lbs6 ft4NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Zac JonesFirebirds (KRA)D222000-10-18No175 Lbs5 ft10NoNoNo1Pro & Farm925,000$711,155$600,000$0$0$NoLien
Zach NastasiukFirebirds (KRA)RW271995-03-30No202 Lbs6 ft2NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.97192 Lbs6 ft11.77986,785$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorTyson FoersterJulien Gauthier30122
2Mike HardmanArttu RuotsalainenMatthew Highmore30122
3Michael CarconeSheldon DriesJesper Froden25122
4Axel Jonsson-FjallbyAndreas WingerliJosh Currie15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottZac Jones35122
2Dylan SambergTyler Lewington35122
3Jack AhcanAdam Clendening30122
4Travis DermottZac Jones0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorArttu RuotsalainenJesper Froden50122
2Mike HardmanTyson FoersterJosh Currie50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottZac Jones50122
2Dylan SambergTyler Lewington50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arttu RuotsalainenDrew O'Connor50122
2Tyson FoersterMike Hardman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottZac Jones50122
2Dylan SambergTyler Lewington50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arttu Ruotsalainen50122Travis DermottZac Jones50122
2Tyson Foerster50122Dylan SambergTyler Lewington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu RuotsalainenDrew O'Connor50122
2Tyson FoersterMike Hardman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottZac Jones50122
2Dylan SambergTyler Lewington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorArttu RuotsalainenJesper FrodenTravis DermottZac Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorArttu RuotsalainenJesper FrodenTravis DermottZac Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Foerster, Matthew Highmore, Axel Jonsson-FjallbyTyson Foerster, Matthew HighmoreTyson Foerster
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Lewington, Jack Ahcan, Adam ClendeningTyler LewingtonTyler Lewington, Jack Ahcan
Tirs de pénalité
Drew O'Connor, Mike Hardman, Jesper Froden, Arttu Ruotsalainen, Tyson Foerster
Gardien
#1 : Eric Comrie, #2 : Kevin Poulin
Lignes d’attaque personnalisées en prolongation
Drew O'Connor, Tyson Foerster, Jesper Froden, Arttu Ruotsalainen, Mike Hardman, Matthew Highmore, Matthew Highmore, Axel Jonsson-Fjallby, Sheldon Dries, Michael Carcone, Andreas Wingerli
Lignes de défense personnalisées en prolongation
Travis Dermott, Zac Jones, Dylan Samberg, Tyler Lewington, Jack Ahcan


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
1Barracuda21100000440000000000002110000044020.5004610002123120602142282310419846500.00%30100.00%039676951.50%34670748.94%13829946.15%459319438135241120
2Canucks422000001113-231200000712-51100000041340.500112031002123120135214228231014638359618633.33%12466.67%039676951.50%34670748.94%13829946.15%459319438135241120
3Condors21100000541110000004221010000012-120.5005914002123120602142282310712216376233.33%8187.50%039676951.50%34670748.94%13829946.15%459319438135241120
4Gulls321000001183110000004312110000075240.667112031002123120115214228231011532147210220.00%40100.00%039676951.50%34670748.94%13829946.15%459319438135241120
5Moose2020000038-51010000023-11010000015-400.00036900212312092214228231086321840700.00%9188.89%039676951.50%34670748.94%13829946.15%459319438135241120
6Reign220000001046110000003031100000074341.000101828012123120742142282310541912421300.00%60100.00%139676951.50%34670748.94%13829946.15%459319438135241120
7Silver Knights1010000045-11010000045-10000000000000.0004711002123120402142282310468423200.00%2150.00%039676951.50%34670748.94%13829946.15%459319438135241120
8Texas Stars1010000034-1000000000001010000034-100.0003690021231203121422823103691025000.00%5260.00%039676951.50%34670748.94%13829946.15%459319438135241120
9Wranglers2020000059-41010000035-21010000024-200.00059140021231206621422823108629124810110.00%6183.33%039676951.50%34670748.94%13829946.15%459319438135241120
Total19811000005659-3945000002730-310460000029290160.421561011570121231206732142282310681198129429711115.49%551081.82%139676951.50%34670748.94%13829946.15%459319438135241120
_Since Last GM Reset19811000005659-3945000002730-310460000029290160.421561011570121231206732142282310681198129429711115.49%551081.82%139676951.50%34670748.94%13829946.15%459319438135241120
_Vs Conference19811000005659-3945000002730-310460000029290160.421561011570121231206732142282310681198129429711115.49%551081.82%139676951.50%34670748.94%13829946.15%459319438135241120
_Vs Division16880000050473844000002527-28440000025205160.50050891390121231205502142282310559157101364641117.19%41782.93%139676951.50%34670748.94%13829946.15%459319438135241120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1916L35610115767368119812942901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1981100005659
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94500002730
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
104600002929
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711115.49%551081.82%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
21422823102123120
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
39676951.50%34670748.94%13829946.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
459319438135241120


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 - 2022-10-167Firebirds1Barracuda2ALSommaire du match
3 - 2022-10-1813Firebirds2Gulls3ALSommaire du match
4 - 2022-10-1929Canucks4Firebirds2BLSommaire du match
6 - 2022-10-2149Firebirds5Gulls2AWSommaire du match
8 - 2022-10-2356Firebirds2Wranglers4ALSommaire du match
10 - 2022-10-2568Wranglers5Firebirds3BLSommaire du match
13 - 2022-10-2894Canucks2Firebirds3BWSommaire du match
17 - 2022-11-01115Gulls3Firebirds4BWSommaire du match
21 - 2022-11-05139Firebirds1Condors2ALSommaire du match
22 - 2022-11-06151Silver Knights5Firebirds4BLSommaire du match
25 - 2022-11-09172Condors2Firebirds4BWSommaire du match
27 - 2022-11-11187Firebirds7Reign4AWSommaire du match
29 - 2022-11-13202Reign0Firebirds3BWSommaire du match
32 - 2022-11-16215Firebirds4Canucks1AWSommaire du match
34 - 2022-11-18233Moose3Firebirds2BLSommaire du match
37 - 2022-11-21255Firebirds3Barracuda2AWSommaire du match
38 - 2022-11-22265Firebirds1Moose5ALSommaire du match
40 - 2022-11-24277Firebirds3Texas Stars4ALSommaire du match
41 - 2022-11-25287Canucks6Firebirds2BLSommaire du match
45 - 2022-11-29310Wranglers-Firebirds-
47 - 2022-12-01319Firebirds-Rockets-
49 - 2022-12-03332Firebirds-Wolves-
50 - 2022-12-04347IceHogs-Firebirds-
52 - 2022-12-06365Firebirds-Silver Knights-
55 - 2022-12-09378Roadrunners-Firebirds-
58 - 2022-12-12387Firebirds-Gulls-
59 - 2022-12-13407Reign-Firebirds-
62 - 2022-12-16429Firebirds-Wranglers-
64 - 2022-12-18438Firebirds-Eagles-
65 - 2022-12-19451Silver Knights-Firebirds-
67 - 2022-12-21472Admirals-Firebirds-
74 - 2022-12-28499Condors-Firebirds-
76 - 2022-12-30511Firebirds-Wolf Pack-
78 - 2023-01-01529Americans-Firebirds-
83 - 2023-01-06557Firebirds-Marlies-
84 - 2023-01-07566Eagles-Firebirds-
87 - 2023-01-10590Firebirds-Admirals-
88 - 2023-01-11598Barracuda-Firebirds-
91 - 2023-01-14620Canucks-Firebirds-
93 - 2023-01-16640Firebirds-Iowa Wild-
94 - 2023-01-17654W-B/Scranton Penguins-Firebirds-
99 - 2023-01-22681Binghamton Senateurs-Firebirds-
101 - 2023-01-24696Firebirds-Wranglers-
102 - 2023-01-25708Firebirds-Condors-
103 - 2023-01-26721Bears-Firebirds-
106 - 2023-01-29742Firebirds-Barracuda-
107 - 2023-01-30753Gulls-Firebirds-
109 - 2023-02-01778Reign-Firebirds-
112 - 2023-02-04797Firebirds-Reign-
115 - 2023-02-07813Iowa Wild-Firebirds-
119 - 2023-02-11837Monsters-Firebirds-
121 - 2023-02-13847Firebirds-Phantoms-
122 - 2023-02-14868Roadrunners-Firebirds-
127 - 2023-02-19891Firebirds-Reign-
128 - 2023-02-20900Wranglers-Firebirds-
131 - 2023-02-23929Thunderbirds-Firebirds-
132 - 2023-02-24942Firebirds-Thunderbirds-
136 - 2023-02-28961Providence Bruins-Firebirds-
138 - 2023-03-02978Firebirds-Wranglers-
139 - 2023-03-03988Firebirds-Comets-
141 - 2023-03-05998Griffins-Firebirds-
144 - 2023-03-081006Firebirds-Roadrunners-
145 - 2023-03-091024Firebirds-Gulls-
147 - 2023-03-111035Admirals-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131055Firebirds-Condors-
150 - 2023-03-141064Crunch-Firebirds-
153 - 2023-03-171090Gulls-Firebirds-
157 - 2023-03-211103Firebirds-IceHogs-
158 - 2023-03-221123Texas Stars-Firebirds-
163 - 2023-03-271151Condors-Firebirds-
164 - 2023-03-281161Firebirds-Admirals-
167 - 2023-03-311186Barracuda-Firebirds-
170 - 2023-04-031204Firebirds-islanders-
171 - 2023-04-041215Moose-Firebirds-
174 - 2023-04-071232Firebirds-Silver Knights-
175 - 2023-04-081238Firebirds-Checkers-
176 - 2023-04-091250Barracuda-Firebirds-
180 - 2023-04-131270Firebirds-Canucks-
181 - 2023-04-141282Silver Knights-Firebirds-
182 - 2023-04-151290Firebirds-Moose-
183 - 2023-04-161295Firebirds-Canucks-
184 - 2023-04-171308Firebirds-Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20002000
Prix des billets3515
Assistance13,64417,117
Assistance PCT75.80%95.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 3418 - 85.45% 121,567$1,094,100$4000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,059,033$ 2,576,800$ 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
3,890,133$ 143 16,446$ 2,351,778$




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