Connexion

Firebirds
GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 34 | GA: 32 | PP%: 27.50% | PK%: 76.47%
DG: Alexandre Bélanger | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #165 vs Reign
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Centre de jeu
Barracuda
4-3-3, 11pts
4
FINAL
3 Firebirds
5-3-1, 11pts
Team Stats
L1StreakW1
2-1-2Home Record3-1-1
2-2-1Away Record2-2-0
4-3-3Last 10 Games5-3-1
3.60Buts par match 3.78
3.40Buts contre par match 3.56
25.81%Pourcentage en avantage numérique27.50%
76.09%Pourcentage en désavantage numérique76.47%
Gulls
6-4-0, 12pts
4
FINAL
6 Firebirds
5-3-1, 11pts
Team Stats
L3StreakW1
3-2-0Home Record3-1-1
3-2-0Away Record2-2-0
6-4-0Last 10 Games5-3-1
3.30Buts par match 3.78
2.70Buts contre par match 3.56
16.67%Pourcentage en avantage numérique27.50%
80.49%Pourcentage en désavantage numérique76.47%
Reign
4-5-2, 10pts
2022-08-02
Firebirds
5-3-1, 11pts
Statistiques d’équipe
W4SéquenceW1
2-1-2Fiche domicile3-1-1
2-4-0Fiche visiteur2-2-0
4-4-210 derniers matchs5-3-1
3.36Buts par match 3.78
3.45Buts contre par match 3.56
25.00%Pourcentage en avantage numérique27.50%
77.27%Pourcentage en désavantage numérique76.47%
Firebirds
5-3-1, 11pts
2022-08-03
Condors
6-3-1, 13pts
Statistiques d’équipe
W1SéquenceL1
3-1-1Fiche domicile3-1-1
2-2-0Fiche visiteur3-2-0
5-3-110 derniers matchs6-3-1
3.78Buts par match 3.60
3.56Buts contre par match 3.20
27.50%Pourcentage en avantage numérique25.93%
76.47%Pourcentage en désavantage numérique65.00%
Firebirds
5-3-1, 11pts
2022-08-05
Canucks
5-4-1, 11pts
Statistiques d’équipe
W1SéquenceL1
3-1-1Fiche domicile3-2-0
2-2-0Fiche visiteur2-2-1
5-3-110 derniers matchs5-4-1
3.78Buts par match 3.70
3.56Buts contre par match 3.80
27.50%Pourcentage en avantage numérique21.95%
76.47%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Tyson Jost
2
Passes
Tyson Jost
4
Points
Tyson Jost
6
Plus/Moins
Tyson Jost
-1
Victoires
Eric Comrie
5
Pourcentage d’arrêts
Eric Comrie
0.902

Statistiques d’équipe
Buts pour
34
3.78 GFG
Tirs pour
345
38.33 Avg
Pourcentage en avantage numérique
27.5%
11 GF
Début de zone offensive
43.1%
Buts contre
32
3.56 GAA
Tirs contre
306
34.00 Avg
Pourcentage en désavantage numérique
76.5%
8 GA
Début de la zone défensive
39.5%
Information d’équipe

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


Informations de l’aréna

Capacité4,000
Assistance0
Billets de saison400


Information formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 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 Gauthier0X100.008038916792768166546563596564660507102441,727,000$
2Arttu Ruotsalainen0X100.00623689677087866470656861696567050700241925,000$
3Drew O'Connor0X100.007039916583848066716763606964660507002431,160,000$
4Mike Hardman0X100.008639936481828763556264596263650507002342,000,000$
5Matthew Highmore0X100.00653682647081836374626176646667050700261805,000$
6Nolan Patrick0X100.006436866781797668826563587365690506902434,307,000$
7Jesper Froden0X100.006237826866898067636166656968700506902821,000,000$
8Sheldon Dries0X100.00643789676586826572626661666869050690281800,000$
9Josh Currie0X100.00503595656573756469626461647775050670291800,000$
10Cole Maier0X100.006733746076909259655860576067690506702721,140,000$
11Michael Carcone0X100.00674071626389876360596457676867050670261800,000$
12Andreas Wingerli0X100.00583686676277856256596063616567050660252820,000$
13Jacob Bryson0X100.00633583696489886630715576536567050710241925,000$
14Dylan Samberg0X100.008371796281807659306656624963650506902311,175,000$
15Jack Ahcan0X100.00633592656785766430626559536567050680252700,000$
16Tyler Lewington0X100.00674365607978805930675865506870050680271750,000$
17Tarmo Reunanen0X100.00643686657178736430665763516466050680241925,000$
18Adam Clendening0X100.006441726073769559306654574870720506702921,000,000$
Rayé
1Gregory Hofmann0X100.00623580717378726668655759626971050680291750,000$
2Danila Klimovich (R)0X100.00623483588179855952585756616062050650193925,000$
3Zach Nastasiuk0X100.00723592568177825452535557547166050640272750,000$
4Brett McKenzie0X100.00683989577865725653555458546567050630252900,000$
5Travis Dermott0X100.00633887717684886730665763506769050700253914,000$
6Trenton Bourque0X100.00714286568065705430555356456563050630243750,000$
MOYENNE D’ÉQUIPE100.0067398464748081625262606159666805068
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 Comrie100.0081888472807981807981806677050810271823,000$
2Michael Hutchinson100.00747576847372747372747375860507703212,000,000$
Rayé
1Kevin Poulin100.0075747582747375747375747286050770321800,000$
2Linden Marshall100.0075656682747375747375746471050750242750,000$
MOYENNE D’ÉQUIPE100.007676758075747675747675698005078
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
1Tyler LewingtonFirebirds (KRA)D92810-1602271551113.33%1318921.10033517000129000.00%000001.0500000110
2Jacob BrysonFirebirds (KRA)D9178-140611169136.25%1421223.65011833011024000.00%000000.7500000010
3Jesper FrodenFirebirds (KRA)RW94482409132691915.38%013014.49224721000001118.18%1100001.2300000101
4Mike HardmanFirebirds (KRA)LW9268640379217149.52%019121.260334331011241054.17%2400000.8401000110
5Matthew HighmoreFirebirds (KRA)C944842010193793710.81%319822.1011210330111260155.14%18500000.8000000001
6Arttu RuotsalainenFirebirds (KRA)C6246-4607201991810.53%212921.510003180000190054.59%19600000.9300000000
7Dylan SambergFirebirds (KRA)D9156-36024482412.50%1520622.92123533000024000.00%000000.5800000000
8Jack AhcanFirebirds (KRA)D9336320791771317.65%919822.01303931000028100.00%000000.6100000001
9Tyson JostKrakenC3246-1001101741111.76%15919.85134412000000155.06%8900002.0200000100
10Drew O'ConnorFirebirds (KRA)LW9325-540993717218.11%219321.551128300000220148.15%2700000.5212000002
11Tarmo ReunanenFirebirds (KRA)D9055-2195756240.00%1014816.5303321100003000.00%000000.6700000000
12Sheldon DriesFirebirds (KRA)C941530044140328.57%1728.10213212000001051.52%3300101.3700000100
13Julien GauthierFirebirds (KRA)RW6134-5801716256164.00%313021.74011318000000042.86%700000.6112000000
14Josh CurrieFirebirds (KRA)RW9123-100112218144.76%111713.0800001000000035.71%1400000.5100000000
15Nolan PatrickFirebirds (KRA)C9112100523215194.76%114215.800001120000100055.81%17200000.2800000000
16Cole MaierFirebirds (KRA)C9011000332010.00%0202.3200000000000050.00%2400000.9600000000
17Andreas WingerliFirebirds (KRA)LW91010000191111.11%2424.6700011000000020.00%500000.4800000000
18Michael CarconeFirebirds (KRA)LW9101-340161019345.26%111512.7800000000000057.14%700000.1700000000
19Adam ClendeningFirebirds (KRA)D90000801885020.00%713715.280000200002000.00%000000.0000000000
20Gregory HofmannFirebirds (KRA)C3000-2001810150.00%24214.1700000000070041.67%4800000.0000000000
Statistiques d’équipe totales ou en moyenne162336093-97752042013451042309.57%87268016.551121327232512332264452.73%84200100.6925000535
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)95310.9023.2655200303050110.800590010
Statistiques d’équipe totales ou en moyenne95310.9023.2655200303050110.800590010


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)D291992-10-26No194 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Andreas WingerliFirebirds (KRA)LW251997-09-11No170 Lbs5 ft8NoNoNo2Pro & Farm820,000$820,000$820,000$0$0$No820,000$Lien
Arttu RuotsalainenFirebirds (KRA)C241997-10-29No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Brett McKenzieFirebirds (KRA)LW251997-03-12No190 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$900,000$0$0$No900,000$Lien
Cole MaierFirebirds (KRA)C271995-06-24No194 Lbs6 ft1NoNoNo2Pro & Farm1,140,000$1,140,000$650,000$0$0$No1,140,000$Lien
Danila KlimovichFirebirds (KRA)RW192003-01-09Yes202 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$
Drew O'ConnorFirebirds (KRA)LW241998-06-09No200 Lbs6 ft3NoNoNo3Pro & Farm1,160,000$1,160,000$1,160,000$0$0$No1,160,000$1,160,000$Lien
Dylan SambergFirebirds (KRA)D231999-01-24No190 Lbs6 ft3NoNoNo1Pro & Farm1,175,000$1,175,000$600,000$0$0$NoLien
Eric ComrieFirebirds (KRA)G271995-07-06No175 Lbs6 ft1NoNoNo1Pro & Farm823,000$823,000$863,000$0$0$NoLien
Gregory HofmannFirebirds (KRA)C291992-11-13No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Jack AhcanFirebirds (KRA)D251997-05-18No180 Lbs5 ft9NoNoNo2Pro & Farm700,000$700,000$600,000$0$0$No700,000$Lien
Jacob BrysonFirebirds (KRA)D241997-11-18No175 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$889,167$0$0$NoLien
Jesper FrodenFirebirds (KRA)RW281994-09-21No179 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Josh CurrieFirebirds (KRA)RW291992-10-29No172 Lbs5 ft10NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Julien GauthierFirebirds (KRA)RW241997-10-15No227 Lbs6 ft4NoNoNo4Pro & Farm1,727,000$1,727,000$650,000$0$0$No1,727,000$1,727,000$1,727,000$Lien
Kevin PoulinFirebirds (KRA)G321990-04-12No206 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Linden MarshallFirebirds (KRA)G241998-07-21No194 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Matthew HighmoreFirebirds (KRA)C261996-02-27No188 Lbs5 ft11NoNoNo1Pro & Farm805,000$805,000$0$0$NoLien
Michael CarconeFirebirds (KRA)LW261996-05-19No170 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$650,000$0$0$NoLien
Michael HutchinsonFirebirds (KRA)G321990-03-02No201 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$2,000,000$0$0$NoLien
Mike HardmanFirebirds (KRA)LW231999-02-05No205 Lbs6 ft2NoNoNo4Pro & Farm2,000,000$2,000,000$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$Lien
Nolan PatrickFirebirds (KRA)C241998-09-19No201 Lbs6 ft2NoNoNo3Pro & Farm4,307,000$4,307,000$525,000$0$0$No4,307,000$4,307,000$Lien
Sheldon DriesFirebirds (KRA)C281994-04-23No180 Lbs5 ft9NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Tarmo ReunanenFirebirds (KRA)D241998-03-01No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Travis DermottFirebirds (KRA)D251996-12-22No202 Lbs6 ft0NoNoNo3Pro & Farm914,000$914,000$525,000$0$0$No914,000$914,000$Lien
Trenton BourqueFirebirds (KRA)D241998-06-11No200 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Tyler LewingtonFirebirds (KRA)D271994-12-05No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Zach NastasiukFirebirds (KRA)RW271995-03-30No202 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.86191 Lbs6 ft01.861,111,464$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorArttu RuotsalainenJulien Gauthier35122
2Mike HardmanMatthew HighmoreJesper Froden30122
3Michael CarconeNolan PatrickJosh Currie25122
4Andreas WingerliSheldon DriesJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDylan Samberg35122
2Jack AhcanTyler Lewington35122
3Tarmo ReunanenAdam Clendening30122
4Jacob BrysonDylan Samberg0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorArttu RuotsalainenJulien Gauthier50122
2Mike HardmanMatthew HighmoreJesper Froden50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDylan Samberg50122
2Jack AhcanTyler Lewington50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arttu RuotsalainenDrew O'Connor50122
2Matthew HighmoreMike Hardman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDylan Samberg50122
2Jack AhcanTyler Lewington50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arttu Ruotsalainen50122Jacob BrysonDylan Samberg50122
2Matthew Highmore50122Jack AhcanTyler Lewington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu RuotsalainenDrew O'Connor50122
2Matthew HighmoreMike Hardman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDylan Samberg50122
2Jack AhcanTyler Lewington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorArttu RuotsalainenJulien GauthierJacob BrysonDylan Samberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorArttu RuotsalainenJulien GauthierJacob BrysonDylan Samberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Highmore, Jesper Froden, Nolan PatrickMatthew Highmore, Jesper FrodenMatthew Highmore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Lewington, Tarmo Reunanen, Adam ClendeningTyler LewingtonTyler Lewington, Tarmo Reunanen
Tirs de pénalité
Julien Gauthier, Drew O'Connor, Mike Hardman, Arttu Ruotsalainen, Matthew Highmore
Gardien
#1 : Eric Comrie, #2 : Michael Hutchinson
Lignes d’attaque personnalisées en prolongation
Julien Gauthier, Drew O'Connor, Mike Hardman, Arttu Ruotsalainen, Matthew Highmore, Jesper Froden, Jesper Froden, Nolan Patrick, Sheldon Dries, Josh Currie, Michael Carcone
Lignes de défense personnalisées en prolongation
Jacob Bryson, Dylan Samberg, Jack Ahcan, Tyler Lewington, Tarmo Reunanen


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
1Barracuda2010000168-21000000134-11010000034-110.25061218009111235511010811715802716486116.67%8362.50%018335251.99%18232356.35%7914255.63%2191512166811759
2Canucks10001000541100010005410000000000021.0005813009111235411010811715267827200.00%4175.00%018335251.99%18232356.35%7914255.63%2191512166811759
3Condors11000000312110000003120000000000021.0003470091112331110108117152691018200.00%5180.00%018335251.99%18232356.35%7914255.63%2191512166811759
4Gulls21100000880110000006421010000024-220.500816241091112374110108117156610194514535.71%5260.00%018335251.99%18232356.35%7914255.63%2191512166811759
5Reign10000010541000000000001000001054121.000581300911123481101081171538156207114.29%3166.67%118335251.99%18232356.35%7914255.63%2191512166811759
6Silver Knights211000007701010000013-21100000064220.50071219009111238311010811715701918469444.44%90100.00%018335251.99%18232356.35%7914255.63%2191512166811759
Total933010113432252101001181624120001016160110.61134609410911123345110108117153068777204401127.50%34876.47%118335251.99%18232356.35%7914255.63%2191512166811759
_Since Last GM Reset933010113432252101001181624120001016160110.61134609410911123345110108117153068777204401127.50%34876.47%118335251.99%18232356.35%7914255.63%2191512166811759
_Vs Conference933010113432252101001181624120001016160110.61134609410911123345110108117153068777204401127.50%34876.47%118335251.99%18232356.35%7914255.63%2191512166811759
_Vs Division933010113432252101001181624120001016160110.61134609410911123345110108117153068777204401127.50%34876.47%118335251.99%18232356.35%7914255.63%2191512166811759

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
911W1346094345306877720410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93310113432
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52110011816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41200101616
Derniers 10 matchs
WLOTWOTL SOWSOL
530001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
401127.50%34876.47%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
11010811715911123
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
18335251.99%18232356.35%7914255.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2191512166811759


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 - 2022-07-172Condors1Firebirds3BWSommaire du match
3 - 2022-07-1930Firebirds6Silver Knights4AWSommaire du match
4 - 2022-07-2044Firebirds2Gulls4ALSommaire du match
6 - 2022-07-2257Canucks4Firebirds5BWXSommaire du match
7 - 2022-07-2368Firebirds5Reign4AWXXSommaire du match
9 - 2022-07-2585Silver Knights3Firebirds1BLSommaire du match
11 - 2022-07-27106Firebirds3Barracuda4ALSommaire du match
12 - 2022-07-28118Barracuda4Firebirds3BLXXSommaire du match
14 - 2022-07-30142Gulls4Firebirds6BWSommaire du match
17 - 2022-08-02165Reign-Firebirds-
18 - 2022-08-03176Firebirds-Condors-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05194Firebirds-Canucks-
21 - 2022-08-06202Firebirds-Wranglers-
22 - 2022-08-07216Wranglers-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20002000
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
2 0 - 0.00% 0$0$4000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,112,100$ 2,353,217$ 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$ 8 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

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


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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