Firebirds
GP: 34 | W: 11 | L: 20 | OTL: 3 | P: 25
GF: 103 | GA: 126 | PP%: 15.53% | PK%: 77.93%
DG: Marco Turcotte | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #538 vs Silver Knights
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Centre de jeu
Senators
17-13-2, 36pts
0
FINAL
3 Firebirds
11-20-3, 25pts
Team Stats
W1StreakOTL1
11-5-1Home Record8-9-1
6-8-1Away Record3-11-2
6-4-0Last 10 Games1-7-2
3.59Buts par match 3.03
3.28Buts contre par match 3.71
23.77%Pourcentage en avantage numérique15.53%
76.47%Pourcentage en désavantage numérique77.93%
Firebirds
11-20-3, 25pts
5
FINAL
6 IceHogs
17-13-3, 37pts
Team Stats
OTL1StreakW1
8-9-1Home Record7-7-1
3-11-2Away Record10-6-2
1-7-2Last 10 Games7-3-0
3.03Buts par match 3.58
3.71Buts contre par match 3.70
15.53%Pourcentage en avantage numérique20.17%
77.93%Pourcentage en désavantage numérique77.78%
Firebirds
11-20-3, 25pts
2024-12-21
Silver Knights
16-13-3, 35pts
Statistiques d’équipe
OTL1SéquenceL1
8-9-1Fiche domicile7-7-1
3-11-2Fiche visiteur9-6-2
1-7-210 derniers matchs5-5-0
3.03Buts par match 3.56
3.71Buts contre par match 3.28
15.53%Pourcentage en avantage numérique18.87%
77.93%Pourcentage en désavantage numérique76.11%
Firebirds
11-20-3, 25pts
2024-12-22
Eagles
21-14-0, 42pts
Statistiques d’équipe
OTL1SéquenceW1
8-9-1Fiche domicile8-8-0
3-11-2Fiche visiteur13-6-0
1-7-210 derniers matchs6-4-0
3.03Buts par match 3.97
3.71Buts contre par match 3.46
15.53%Pourcentage en avantage numérique25.00%
77.93%Pourcentage en désavantage numérique76.98%
Firebirds
11-20-3, 25pts
2024-12-28
Comets
24-6-2, 50pts
Statistiques d’équipe
OTL1SéquenceW2
8-9-1Fiche domicile12-4-1
3-11-2Fiche visiteur12-2-1
1-7-210 derniers matchs7-3-0
3.03Buts par match 3.94
3.71Buts contre par match 2.81
15.53%Pourcentage en avantage numérique18.80%
77.93%Pourcentage en désavantage numérique80.56%
Meneurs d'équipe
Buts
Cooper Walker
0
Passes
Cooper Walker
0
Points
Cooper Walker
0
Plus/Moins
Cooper Walker
0
Matt MurrayVictoires
Matt Murray
9
Evan CormierPourcentage d’arrêts
Evan Cormier
0.929

Statistiques d’équipe
Buts pour
103
3.03 GFG
Tirs pour
1035
30.44 Avg
Pourcentage en avantage numérique
15.5%
16 GF
Début de zone offensive
38.7%
Buts contre
126
3.71 GAA
Tirs contre
1240
36.47 Avg
Pourcentage en désavantage numérique
77.9%
32 GA
Début de la zone défensive
42.6%
Information d’équipe

Directeur généralMarco Turcotte
EntraîneurAlex Tanguay
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,122
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs85


Historique d'équipe

Saison actuelle11-20-3 (25PTS)
Historique817-872-176 (0.438%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)21-30
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 moyen
1Curtis McKenzie0X100.00724173648188856370665962617378075650331850,000$
2Cody Hodgson0X100.00643885637383616266576459657476075630341750,000$
3Justin Addamo0X100.00904287579969655661535863556668075620262800,000$
4Callahan Burke (R)0X100.00653690566785845766585963566769075610272999,999$
5Cole Bardreau0X100.00634076567280865763585955567173075610311750,000$
6Cory Conacher0X100.00564070596574755855575654597577075600342950,000$
7Jagger Joshua0X100.00724862588175725759555659576567075600251750,000$
8Nolan Yaremko0X100.00694368607869635764615559546668075600261750,000$
9Kevin Wall0X100.00633791577279685653545552566466075590241750,000$
10Ryan McGregor (R)0XX100.00593691586873795763565453576567075590251750,000$
11Roman Ahcan0X100.00633879586373825655575753566567075590251750,000$
12Ryan Wagner0X100.00563880566567845551545352556870075580282750,000$
13Grant Cruikshank0X100.00613891567073625560545253556668075580263999,999$
14Andreas Englund0X100.00817369638679876130655867496870075640281999,999$
15Keaton Middleton (R)0X100.00906458619970875730605466466769075630262800,000$
16Matt Donovan (R)0X100.00694367627875725830675359487476075620343950,000$
17Dysin Mayo0X100.00713972637677835930575566486870075620283750,000$
18Blake Hillman0X100.00673893557666765430565257466870075590281999,999$
19Ashton Sautner0X100.00674077567668855530545357457072075590301999,999$
Rayé
1Avery Hayes (R)0X100.00583694566579645554535752586264075580213950,000$
2Tyler Boucher (R)0X100.00694861587879635755565653576163075580213950,000$
3Riley Sawchuk0X100.00603793556971655357525450536567075570251750,000$
MOYENNE D’ÉQUIPE100.0068427959757575575157565754687007560
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 moyen
1Matt Murray100.00777570907675777675777674840756803033,684,000$
2Ludovic Waeber100.0070736873696870696870696881075630281750,000$
Rayé
1Evan Cormier (R)100.0063716783626163626163626777075590261850,000$
MOYENNE D’ÉQUIPE100.007073688269687069687069708107563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Tanguay69667271676381CAN452800,000$


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
1Cody HodgsonFirebirds (SEA)C34823314100419711630776.90%1584324.81033209600061452050.55%91400000.7401000132
2Curtis McKenzieFirebirds (SEA)LW271415295240737399226614.14%957721.39224166300031001156.16%33300021.0000000310
3Cory ConacherFirebirds (SEA)RW3491726220242868295313.24%559617.54044971000000041.18%3400000.8700000111
4Nolan YaremkoFirebirds (SEA)LW3412132573559353101277511.88%360617.831231178000023155.93%5900000.8200100121
5Matt DonovanFirebirds (SEA)D34223251024074494315324.65%5072421.301342877000199000.00%000000.6900000012
6Andreas EnglundFirebirds (SEA)D3471623-10260486866193710.61%5372021.203473093000151100.00%000100.6400000001
7Callahan BurkeFirebirds (SEA)RW34111021780364293337311.83%871220.9413416950002672149.02%5100010.5900000202
8Cole BardreauFirebirds (SEA)C3481018610049828514519.41%568320.1033615770003700047.15%87600000.5300000000
9Dysin MayoFirebirds (SEA)D33513187220664743134111.63%3966720.232132670000190120.00%000000.5400000021
10Jagger JoshuaFirebirds (SEA)LW348715-1680683868235411.76%1048314.230001100000130250.00%4800000.6200000011
11Keaton MiddletonFirebirds (SEA)D345712-13740143335912358.47%6679423.382242695000091000.00%000000.3000000010
12Ashton SautnerFirebirds (SEA)D343912-210054272181214.29%3554416.0300013000057100.00%000000.4400000101
13Justin AddamoFirebirds (SEA)RW285510-1722074346017488.33%543515.57011433000060047.06%5100000.4600000100
14Blake HillmanFirebirds (SEA)D342810-22202321241158.33%4758717.28101316000290000.00%000000.3400000000
15Ryan McGregorFirebirds (SEA)C/LW33066-15003603512330.00%742712.95000000002300047.75%48800000.2800000000
16Roman AhcanFirebirds (SEA)LW34134-2202024306173.33%836010.60000150000360042.52%12700000.2211000000
17Ryan WagnerFirebirds (SEA)RW2811220001101100.00%080.290000100000000.00%100004.9800000001
18Grant CruikshankFirebirds (SEA)C28101-2001660216.67%0461.6700000000020042.31%5200000.4300000001
19Kevin WallFirebirds (SEA)RW28011200002000.00%180.290000000000000.00%000002.4700000000
20Tyler BoucherFirebirds (SEA)RW710102011111049.09%1639.1300000000000033.33%600000.3100000000
21Avery HayesFirebirds (SEA)RW8000000323170.00%0435.44000000001200100.00%100000.0000000000
22Cooper WalkerKrakenC6000000551010.00%0386.4800000000020046.81%4700000.0000000000
Statistiques d’équipe totales ou en moyenne634103187290-27301590979110352827349.95%367997515.731628442078910002296211749.09%308800130.5812100101214
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
1Matt MurrayFirebirds (SEA)2891630.8963.701656211029770200.0003280301
2Ludovic WaeberFirebirds (SEA)72400.9103.8331320202210000.0000628200
3Evan CormierFirebirds (SEA)20000.9292.2281003420000.000006000
Statistiques d’équipe totales ou en moyenne37112030.8993.6620514112512400200.00033434501


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
Andreas EnglundFirebirds (SEA)D281996-01-21No200 Lbs6 ft4NoNoNo1Pro & Farm999,999$602,040$999,999$602,040$0$0$NoLien / Lien NHL
Ashton SautnerFirebirds (SEA)D301994-05-27No195 Lbs6 ft1NoNoNo1Pro & Farm999,999$602,040$999,999$602,040$0$0$NoLien / Lien NHL
Avery HayesFirebirds (SEA)RW212002-10-10Yes175 Lbs5 ft10NoNoNo3Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$950,000$
Blake HillmanFirebirds (SEA)D281996-01-26No193 Lbs6 ft1NoNoNo1Pro & Farm999,999$602,040$999,999$602,040$0$0$NoLien / Lien NHL
Callahan BurkeFirebirds (SEA)RW271997-03-19Yes183 Lbs5 ft10NoNoNo2Pro & Farm999,999$602,040$999,999$602,040$0$0$No999,999$Lien / Lien NHL
Cody HodgsonFirebirds (SEA)C341990-02-18No191 Lbs6 ft0NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien
Cole BardreauFirebirds (SEA)C311993-07-22No186 Lbs6 ft0NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Cory ConacherFirebirds (SEA)RW341989-12-14No185 Lbs5 ft8NoNoNo2Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$Lien / Lien NHL
Curtis McKenzieFirebirds (SEA)LW331991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm850,000$511,735$850,000$511,735$0$0$NoLien / Lien NHL
Dysin MayoFirebirds (SEA)D281996-08-17No183 Lbs6 ft2NoNoNo3Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$750,000$Lien / Lien NHL
Evan CormierFirebirds (SEA)G261997-11-06Yes200 Lbs6 ft3NoNoNo1Pro & Farm850,000$511,735$850,000$511,735$0$0$NoLien / Lien NHL
Grant CruikshankFirebirds (SEA)C261998-07-19No187 Lbs5 ft11NoNoNo3Pro & Farm999,999$602,040$999,999$602,040$0$0$No999,999$999,999$Lien
Jagger JoshuaFirebirds (SEA)LW251999-03-29No201 Lbs6 ft2NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien
Justin AddamoFirebirds (SEA)RW261998-05-27No249 Lbs6 ft6NoNoNo2Pro & Farm800,000$481,633$800,000$481,633$0$0$No800,000$Lien / Lien NHL
Keaton MiddletonFirebirds (SEA)D261998-02-10Yes240 Lbs6 ft6NoNoNo2Pro & Farm800,000$481,633$800,000$481,633$0$0$No800,000$Lien / Lien NHL
Kevin WallFirebirds (SEA)RW242000-02-01No188 Lbs6 ft0NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien
Ludovic WaeberFirebirds (SEA)G281996-08-19No176 Lbs6 ft1NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien
Matt DonovanFirebirds (SEA)D341990-05-09Yes205 Lbs6 ft1NoNoNo3Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$950,000$Lien
Matt Murray (contrat à 1 volet)Firebirds (SEA)G301994-05-25No203 Lbs6 ft5NoNoNo3Pro & Farm3,684,000$2,217,918$3,684,000$2,217,918$3,684,000$2,217,918$No3,684,000$3,684,000$Lien / Lien NHL
Nolan YaremkoFirebirds (SEA)LW261998-05-17No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Riley SawchukFirebirds (SEA)C251999-03-18No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Roman AhcanFirebirds (SEA)LW251999-03-24No170 Lbs5 ft9NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Ryan McGregorFirebirds (SEA)C/LW251999-01-29Yes168 Lbs6 ft0NoNoNo1Pro & Farm750,000$451,531$750,000$451,531$0$0$NoLien / Lien NHL
Ryan WagnerFirebirds (SEA)RW281996-04-15No185 Lbs5 ft8NoNoNo2Pro & Farm750,000$451,531$750,000$451,531$0$0$No750,000$Lien / Lien NHL
Tyler BoucherFirebirds (SEA)RW212003-01-16Yes205 Lbs6 ft1NoNoNo3Pro & Farm950,000$571,939$950,000$571,939$0$0$No950,000$950,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.56194 Lbs6 ft11.68961,360$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Curtis McKenzieCody HodgsonJustin Addamo40122
2Nolan YaremkoCole BardreauCallahan Burke30122
3Jagger JoshuaGrant CruikshankCory Conacher20122
4Roman AhcanCurtis McKenzieKevin Wall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundKeaton Middleton40122
2Matt DonovanBlake Hillman30122
3Ashton SautnerRoman Ahcan20122
4Andreas EnglundKeaton Middleton10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Curtis McKenzieCody HodgsonJustin Addamo60122
2Nolan YaremkoCole BardreauCallahan Burke40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundKeaton Middleton60122
2Matt DonovanBlake Hillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis McKenzieCody Hodgson60122
2Justin AddamoCallahan Burke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundKeaton Middleton60122
2Matt DonovanBlake Hillman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis McKenzie60122Andreas EnglundKeaton Middleton60122
2Cody Hodgson40122Matt DonovanBlake Hillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis McKenzieCody Hodgson60122
2Justin AddamoCallahan Burke40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundKeaton Middleton60122
2Matt DonovanBlake Hillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Curtis McKenzieCody HodgsonJustin AddamoAndreas EnglundKeaton Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Curtis McKenzieCody HodgsonJustin AddamoAndreas EnglundKeaton Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Wagner, Curtis McKenzie, Cody HodgsonRyan Wagner, Curtis McKenzieCurtis McKenzie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ashton Sautner, Matt Donovan, Blake HillmanAshton SautnerMatt Donovan, Blake Hillman
Tirs de pénalité
Curtis McKenzie, Cody Hodgson, Justin Addamo, Callahan Burke, Cole Bardreau
Gardien
#1 : Matt Murray, #2 : Ludovic Waeber
Lignes d’attaque personnalisées en prolongation
Curtis McKenzie, Cody Hodgson, Justin Addamo, Callahan Burke, Cole Bardreau, Nolan Yaremko, Nolan Yaremko, Jagger Joshua, Cory Conacher, Roman Ahcan, Kevin Wall
Lignes de défense personnalisées en prolongation
Andreas Englund, Keaton Middleton, Matt Donovan, Blake Hillman, Ashton Sautner


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
1Admirals21100000660110000004221010000024-220.500611170035293825830935636210632010555120.00%5180.00%0585118949.20%640131048.85%29157450.70%776519835256441217
2Barracuda2020000039-61010000013-21010000026-400.000369003529382593093563621066191260700.00%6350.00%0585118949.20%640131048.85%29157450.70%776519835256441217
3Bruins211000005501010000003-31100000052320.50059140035293825930935636210722812446233.33%6266.67%0585118949.20%640131048.85%29157450.70%776519835256441217
4Checkers1010000024-21010000024-20000000000000.000246003529382223093563621038111633100.00%7271.43%0585118949.20%640131048.85%29157450.70%776519835256441217
5Crunch1010000036-31010000036-30000000000000.0003690035293823930935636210361210295120.00%5180.00%0585118949.20%640131048.85%29157450.70%776519835256441217
6Devils1010000016-5000000000001010000016-500.000123003529382223093563621032131026200.00%5260.00%0585118949.20%640131048.85%29157450.70%776519835256441217
7Eagles2100000111921000000145-11100000074330.7501121320035293827230935636210692418538225.00%7357.14%0585118949.20%640131048.85%29157450.70%776519835256441217
8Gulls21100000853110000005141010000034-120.500814220035293826630935636210491914531000.00%70100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
9IceHogs2100010012111110000007521000010056-130.7501221330035293827030935636210661718532150.00%9455.56%0585118949.20%640131048.85%29157450.70%776519835256441217
10Marlies1010000034-1000000000001010000034-100.0003690035293823830935636210265425500.00%20100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
11Monsters1010000034-11010000034-10000000000000.00035800352938228309356362102846286233.33%3166.67%0585118949.20%640131048.85%29157450.70%776519835256441217
12Moose1010000045-11010000045-10000000000000.000461000352938235309356362102810620300.00%3233.33%0585118949.20%640131048.85%29157450.70%776519835256441217
13Phantoms1010000026-41010000026-40000000000000.000246003529382303093563621052512304125.00%6350.00%0585118949.20%640131048.85%29157450.70%776519835256441217
14Reign1010000015-4000000000001010000015-400.000123003529382333093563621040121729000.00%5260.00%0585118949.20%640131048.85%29157450.70%776519835256441217
15Rocket11000000413000000000001100000041321.000481200352938226309356362102881424300.00%7185.71%0585118949.20%640131048.85%29157450.70%776519835256441217
16Senators21100000431110000003031010000013-220.50046100135293825530935636210722412489222.22%60100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
17Silver Knights1010000023-11010000023-10000000000000.0002240035293822030935636210381410262150.00%5180.00%0585118949.20%640131048.85%29157450.70%776519835256441217
18Sound Tigers2020000058-31010000045-11010000013-200.00059140035293825730935636210100312058500.00%100100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
19Stars1010000017-6000000000001010000017-600.00012300352938227309356362104081029300.00%4175.00%0585118949.20%640131048.85%29157450.70%776519835256441217
20Thunderbirds11000000523110000005230000000000021.000581300352938238309356362105042031200.00%100100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
21Wild1010000023-1000000000001010000023-100.000246003529382283093563621043121636300.00%8187.50%0585118949.20%640131048.85%29157450.70%776519835256441217
22Wolf Pack20101000660100010004311010000023-120.50061218003529382603093563621082318425120.00%40100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
23Wolves21000100871110000006421000010023-130.750815230035293826330935636210821818536233.33%9277.78%0585118949.20%640131048.85%29157450.70%776519835256441217
24Wranglers11000000211110000002110000000000021.000246003529382303093563621040181224100.00%60100.00%0585118949.20%640131048.85%29157450.70%776519835256441217
Total34102001201103126-231879010016162-116311002004264-22250.36810318729001352938210353093563621012403673059091031615.53%1453277.93%0585118949.20%640131048.85%29157450.70%776519835256441217
_Since Last GM Reset34102001201103126-231879010016162-116311002004264-22250.36810318729001352938210353093563621012403673059091031615.53%1453277.93%0585118949.20%640131048.85%29157450.70%776519835256441217
_Vs Conference1769001015766-99530000134277816001002339-16140.412571011580035293825363093563621059217716346946510.87%751876.00%0585118949.20%640131048.85%29157450.70%776519835256441217
_Vs Division725000001623-742200000108230300000615-940.2861628440035293822083093563621023382651922015.00%29679.31%0585118949.20%640131048.85%29157450.70%776519835256441217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3425OTL11031872901035124036730590901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3410201201103126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187910016162
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1631102004264
Derniers 10 matchs
WLOTWOTL SOWSOL
170200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1031615.53%1453277.93%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
309356362103529382
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
585118949.20%640131048.85%29157450.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
776519835256441217


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
5 - 2024-10-083Thunderbirds2Firebirds5BWSommaire du match
9 - 2024-10-1233Firebirds2Wild3ALSommaire du match
10 - 2024-10-1339Firebirds1Stars7ALSommaire du match
12 - 2024-10-1553Firebirds2Admirals4ALSommaire du match
14 - 2024-10-1771Phantoms6Firebirds2BLSommaire du match
16 - 2024-10-1987Wranglers1Firebirds2BWSommaire du match
19 - 2024-10-22106Eagles5Firebirds4BLXXSommaire du match
21 - 2024-10-24116Moose5Firebirds4BLSommaire du match
23 - 2024-10-26135Wolves4Firebirds6BWSommaire du match
26 - 2024-10-29149Firebirds4Rocket1AWSommaire du match
28 - 2024-10-31161Firebirds3Marlies4ALSommaire du match
30 - 2024-11-02178Firebirds1Senators3ALSommaire du match
31 - 2024-11-03187Firebirds5Bruins2AWSommaire du match
33 - 2024-11-05202Firebirds7Eagles4AWSommaire du match
36 - 2024-11-08223Silver Knights3Firebirds2BLSommaire du match
40 - 2024-11-12251Monsters4Firebirds3BLSommaire du match
42 - 2024-11-14266IceHogs5Firebirds7BWSommaire du match
44 - 2024-11-16273Sound Tigers5Firebirds4BLSommaire du match
45 - 2024-11-17287Wolf Pack3Firebirds4BWXSommaire du match
48 - 2024-11-20304Admirals2Firebirds4BWSommaire du match
51 - 2024-11-23320Firebirds1Reign5ALSommaire du match
53 - 2024-11-25343Firebirds3Gulls4ALSommaire du match
55 - 2024-11-27360Gulls1Firebirds5BWSommaire du match
57 - 2024-11-29371Firebirds2Barracuda6ALSommaire du match
58 - 2024-11-30387Barracuda3Firebirds1BLSommaire du match
61 - 2024-12-03401Firebirds2Wolves3ALXSommaire du match
63 - 2024-12-05416Firebirds1Sound Tigers3ALSommaire du match
64 - 2024-12-06420Firebirds1Devils6ALSommaire du match
66 - 2024-12-08436Firebirds2Wolf Pack3ALSommaire du match
68 - 2024-12-10456Checkers4Firebirds2BLSommaire du match
70 - 2024-12-12472Bruins3Firebirds0BLSommaire du match
72 - 2024-12-14488Crunch6Firebirds3BLSommaire du match
75 - 2024-12-17505Senators0Firebirds3BWSommaire du match
77 - 2024-12-19516Firebirds5IceHogs6ALXSommaire du match
79 - 2024-12-21538Firebirds-Silver Knights-
80 - 2024-12-22543Firebirds-Eagles-
86 - 2024-12-28567Firebirds-Comets-
88 - 2024-12-30588Roadrunners-Firebirds-
91 - 2025-01-02613Comets-Firebirds-
93 - 2025-01-04631Condors-Firebirds-
95 - 2025-01-06640Devils-Firebirds-
98 - 2025-01-09660Firebirds-Monsters-
100 - 2025-01-11670Firebirds-Americans-
101 - 2025-01-12684Firebirds-Griffins-
103 - 2025-01-14696Firebirds-Penguins-
105 - 2025-01-16716Firebirds-Moose-
107 - 2025-01-18736Reign-Firebirds-
109 - 2025-01-20742Americans-Firebirds-
112 - 2025-01-23770Bears-Firebirds-
114 - 2025-01-25778Penguins-Firebirds-
116 - 2025-01-27797Firebirds-Condors-
117 - 2025-01-28806Gulls-Firebirds-
119 - 2025-01-30821Barracuda-Firebirds-
122 - 2025-02-02843Wranglers-Firebirds-
124 - 2025-02-04857Griffins-Firebirds-
126 - 2025-02-06869Marlies-Firebirds-
128 - 2025-02-08887Firebirds-Wranglers-
142 - 2025-02-22896Firebirds-Checkers-
143 - 2025-02-23909Firebirds-Crunch-
145 - 2025-02-25926Firebirds-Thunderbirds-
149 - 2025-03-01960Comets-Firebirds-
152 - 2025-03-04982Wild-Firebirds-
154 - 2025-03-06993Firebirds-Admirals-
156 - 2025-03-081004Firebirds-Phantoms-
157 - 2025-03-091014Firebirds-Bears-
160 - 2025-03-121039Rocket-Firebirds-
162 - 2025-03-141054Roadrunners-Firebirds-
164 - 2025-03-161072Moose-Firebirds-
166 - 2025-03-181084Firebirds-IceHogs-
167 - 2025-03-191088Firebirds-Wild-
170 - 2025-03-221116Firebirds-Condors-
173 - 2025-03-251137Firebirds-Wranglers-
175 - 2025-03-271151Condors-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291169Stars-Firebirds-
179 - 2025-03-311181Stars-Firebirds-
181 - 2025-04-021196Firebirds-Comets-
184 - 2025-04-051221Firebirds-Barracuda-
186 - 2025-04-071233Firebirds-Reign-
187 - 2025-04-081243Firebirds-Roadrunners-
189 - 2025-04-101258Firebirds-Silver Knights-
191 - 2025-04-121275Thunderbirds-Firebirds-
194 - 2025-04-151300Reign-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance26,64411,549
Assistance PCT74.01%64.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-8 2122 - 70.73% 84,810$1,526,579$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,140,448$ 2,035,000$ 2,035,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 820,949$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-678,480$ 118 14,464$ 1,706,752$




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
1Mike Blunden520129174303-126503991980118210.91%2421010619.443250821101122523746.20%00.601628
2Eric Wellwood501109173282-2168683768105610.32%204797715.922146679113429111145.86%00.71414
3Ryan Craig2701161592751929959462582414.08%202550020.3721426392103132713951.94%41.00720
4Justin Azevedo417113134247-312153474690112.54%166667816.02123345634482212850.80%40.74411
5Brett Maclean269101134235-6216950355289711.26%190583221.68244367109336159949.42%30.81423

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
1Brad Thiessen301105150340.9063.061743514188909499485311120.698126
2Matt Murray25983152220.9073.181493220779184870580.741108
3Calvin Pickard144755690.9063.20827612344247200840.81021
4Curtis McElhinney129654780.8993.067308813373371110451010.69623
5Keith Kinkaid114534490.8993.80633916040139600530.77322

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
580383201225291262294022150001216113823401617012131301246892914967871110761121002798079010419502540873143720702066431.07%2606774.23%11801155351.58%772152250.72%684133051.43%157874817959711735853
6803932024122552496402014022111351191640191800201120130-10902554176720605910489222906718277172310728105220622074521.74%2305576.09%9766150151.03%790159149.65%598122848.70%1502676371620011769876
776392602243286225613815180112113212111382480112215410450952864747600707410799234806928677782061697126219262055526.83%2014080.10%8795151052.65%778149052.21%644122052.79%144967914687971679817
8763224035482672501738188024421511203138141601106116130-1491267432699320739889241907189347442431784100721412135023.47%2145176.17%7811164949.18%765164046.65%527111147.43%150372315187861607791
980183704696211255-4440111901243106122-164071803453105133-287421132053120027838818070415683660225678669815821634225.77%1953880.51%9606131446.12%751160946.67%459101245.36%139556816308661859915
1080174204737192243-51407240131490127-3740101803423102116-146219230449655045815920500638707660247286292420482004422.00%2005572.50%0779152251.18%811170547.57%479102346.82%148464316008431782899
1180233801846171231-604010200043391124-334013180141380107-2770171276447210028489015780339550660231475260316301695230.77%2176968.20%3571122146.76%790161948.80%44593147.80%134449416148751903967
1276243405463207231-2438112101131101134-33381313043321069797720733654333039728524090669880815261285075218641934824.87%2385975.21%1778166046.87%847182946.31%454100345.26%146969915637791585785
1380273405464253273-2040111802252131149-1840161603212122124-284253408661230531157426690791980865283791870121562266528.76%2436872.02%7879176249.89%964198448.59%600113452.91%158378116388141638809
1480144606275170282-112409210413291130-39405250214379152-7361170261431140326065176504526196372788949115914981705230.59%2718568.63%6668134549.67%900186948.15%495105746.83%136352917058461803927
1580194603723197271-74409260131090132-4240102002413107139-325819731951664047717420280570695739262384382217601845127.72%2456374.29%4618143743.01%761179142.49%422104740.31%139757716798481765886
1676164104177182241-593810190204396112-16386220213486129-436218232650802055674918880593597670250673656715802314419.05%2445677.05%0999216146.23%1214266345.59%536117445.66%1670111019555981010486
1780115405253154282-128407270103273135-62404270422181147-664715426441811045603916990555572541306189849116551952814.36%2073782.13%2923210543.85%1318297844.26%546125043.68%1620104921656311062500
1876204301264175234-593811190014393116-23389240112182118-366017531248773056535919620628633681245770156815692013416.92%2454980.00%31054220647.78%1207266445.31%595118550.21%1729116118855711001494
198234320364326423529412213012211431043941121902422121131-1091264463727060112687725910845844864229467537214502214219.00%1613777.02%21362272350.02%1215247049.19%686131552.17%1981136819266091073537
2082264504313221268-4741152003201113129-1641112501112108139-316822140162214079647325080832822832269979769219642856121.40%2835779.86%11404276150.85%1436285550.30%671130051.62%1921129619586181073533
21823334083312642442041141706310127122541191702021137122159226447874223089788627040876865930277478456119202314117.75%2404780.42%31605289455.46%1545289353.40%689129553.20%2106150118115611036533
22823235066122882761241171703112143137641151803500145139686288514802210124778028490938957928288482168820372305825.22%2796576.70%21581300452.63%1588307351.68%746141752.65%1975136619175981059533
2382244505602258314-5641132202301115155-4041112303301143159-1666258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
23824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
202282313902433304313-9412015012301611342741112401203143179-367930454584911120899093003950982103653304086066520362185726.15%2827174.82%11644296955.37%1626307552.88%735137953.30%1963136419555881048525
2022823633066103323293412213024001631471641142004210169182-139233260894010131100947296095199298931283985362520142427932.64%2616077.01%51571299452.47%1458281951.72%748145551.41%2052144018495741051534
202382363304621316319-341201502211163157641161802410153162-9913165718873011610292730511024972103337313399072120722395422.59%2986677.85%31460300048.67%1573324648.46%720144649.79%1854127920546051040500
202434102001201103126-231879010016162-116311002004264-222510318729001352938210353093563621012403673059091031615.53%1453277.93%0585118949.20%640131048.85%29157450.70%776519835256441217
Total Saison régulière187264287209299838456826210-52893734042504444483628883059-17193530244704855354827943151-357181756829766154484682609162918941420563585184173111949013897620361916817886441025051120023.76%5705133076.69%93255795069450.46%268845480949.05%141642851449.67%398152346644011178043208915981
Séries éliminatoires
5514000002028-821100000770303000001321-8220335310067718904681622177411812516531.25%18288.89%05210250.98%7715051.33%4710445.19%9650190310209746
61165000003732554100000161246240000021201123755920001181734301131111073391048033032825.00%30680.00%110722347.98%12121955.25%8917850.00%22110339262113243125
7514000001721-420200000611-531200000111012172643000566131042414720672371037114.29%12558.33%05310450.96%4910646.23%448154.32%8942116509649
8734000002432-8321000001512341300000920-11624396310098725008680842669410219826726.92%25676.00%210118355.19%8817151.46%5911650.86%138701506813165
21624000001518-332100000118330300000410-641528430006541650594165221504415420315.00%21290.48%09419149.21%10723645.34%308137.04%12785156457536
22624000001117-63210000074330300000413-941122330103441950656862191485013622418.18%24483.33%011322250.90%11521852.75%427953.16%14599137437637
231165000004232106330000021183532000002114712427411610014151237101071241233938664260371027.03%32681.25%019940449.26%18639946.62%9219547.18%2781932688014874
Total Séries éliminatoires51213000000166180-1424141000000837211277200000083108-254216627744331054535716440518546550183352849513061603823.75%1623180.86%3719142950.31%743149949.57%40383448.32%109864466593422869435

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
1Nick Dodge1910717-1426224323.26%1330816.23123300000140.00%01.1000
2Ryan Craig178614-71637305514.55%1133619.80336610120054.55%00.8300
3Josh Hennessy11103130227245318.87%623121.063141000011053.22%01.1200
4Brandon Bochenski984122012312334.78%521624.02202310123144.00%01.1100
5Josh Hennessy57411-1010153619.44%511122.33202700020046.10%21.9700

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
1Curtis McElhinney146700.8953.618150049466146010.0000
2Calvin Pickard124800.9162.9068221333930000.0000
3Robin Lehner73400.8834.444190031265124110.0000
4Mike Brodeur51310.8984.163030021206121000.0000
5Michael Teslak21100.8833.501200076030100.0000