Connexion

Eagles
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: blix900 | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #8 vs IceHogs
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IceHogs
0-0-0, 0pts
2022-09-14
Eagles
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Eagles
0-0-0, 0pts
2022-09-15
Heat
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Eagles
0-0-0, 0pts
2022-09-19
Wild
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralblix900
EntraîneurWayne Gretzky
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1Nathan Walker
Assistant #2Andrew Poturalski


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 90
Espoirs30


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique90-48-24 (0.556%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)14-8
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
1Phil Tomasino0X100.00584088697978756553716463625262040630212925,000$
2Nathan Walker (A)0X100.00894281647964626553676862646777040630282850,000$
3Andrew Poturalski (A)0X100.00504175667860567353776657636773040620283850,000$
4Marc McLaughlin (R)0X100.00774577628374395856587061655162040590232925,000$
5Riley Damiani0X100.00573876627660506057666160615262040570222925,000$
6Simon Holmstrom0X100.00504175598060466040666062605363040570211925,000$
7Alex Limoges (R)0X100.00505275548560406040636462625262040560251925,000$
8Samuel Asselin0X100.00504175577960465660645862595262040560242850,000$
9Chris Wilkie (R)0X100.00504375578160175840656062605161040550261800,000$
10Jonathan Gruden (R)0X100.00504875558160535540625862595363040550222750,000$
11Joona Koppanen0X100.00504875528960405740645962605363040550241750,000$
12Jack Kopacka0X100.00505075538460305340615962605463040540242800,000$
13Ethan Bear0X100.006944876282786668206666726354640406402511,750,000$
14Cam Dineen0X100.00584286628067547020695970605363040610241750,000$
15Jeremy Davies0X100.00644576607860497120686067605463040600251900,000$
16Christian Wolanin0X100.00574378578260427020675968605363040590273900,000$
17Leon Gawanke0X100.00505075558360437120666368625363040580231810,000$
18Tarmo Reunanen0X100.00504175578060266920655968605161040570241925,000$
Rayé
1Blake Speers0X100.00504675547960305060595562585363040530251750,000$
2Alexander Khovanov (R)0XXX100.00504375538160105240615662585060040520222850,000$
3Brady Lyle (R)0X100.00504875508760416620626068605564040570231925,000$
4Colby Williams0X100.00505575518360296420615768595666040560272750,000$
5Teemu Kivihalme0X100.00504075567960106620625768595161040550272750,000$
MOYENNE D’ÉQUIPE100.0056457758816341623765616461546404058
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 SP
1Eetu Makiniemi (R)100.0058585585646163636359616867040620
2Adam Werner100.0054636089595858595955587169040610
Rayé
1Isaiah Saville (R)100.0054524984605759595855576566040590
2Arturs Silovs (R)100.0047575488525151525248516566040550
MOYENNE D’ÉQUIPE100.005358558759575858585457676704059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky75757575757575CAN588500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam WernerEagles (COL)G257/1/1997No205 Lbs6 ft5NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Alex LimogesEagles (COL)LW259/16/1997Yes207 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Alexander KhovanovEagles (COL)C/LW/RW224/12/2000Yes192 Lbs5 ft11NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Andrew Poturalski (contrat à 1 volet)Eagles (COL)C281/14/1994No183 Lbs5 ft10NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Arturs SilovsEagles (COL)G217/1/2001Yes203 Lbs6 ft4NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Blake SpeersEagles (COL)C252/2/1997No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Brady LyleEagles (COL)D236/6/1999Yes210 Lbs6 ft3NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Cam DineenEagles (COL)D246/19/1998No188 Lbs5 ft11NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Chris WilkieEagles (COL)RW267/10/1996Yes190 Lbs6 ft0NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Christian WolaninEagles (COL)D273/17/1995No190 Lbs6 ft2NoNoNo3Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$900,000$Lien
Colby WilliamsEagles (COL)D271/26/1995No200 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Eetu MakiniemiEagles (COL)G237/1/1999Yes183 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Ethan BearEagles (COL)D256/26/1997No197 Lbs5 ft11NoNoNo1Pro & Farm1,750,000$1,731,481$1,750,000$1,731,481$0$0$NoLien
Isaiah SavilleEagles (COL)G229/21/2000Yes196 Lbs6 ft1NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Jack KopackaEagles (COL)LW243/5/1998No200 Lbs6 ft2NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Jeremy DaviesEagles (COL)D2512/4/1996No180 Lbs5 ft11NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Jonathan GrudenEagles (COL)LW225/4/2000Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Joona KoppanenEagles (COL)LW242/25/1998No210 Lbs6 ft5NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Leon GawankeEagles (COL)D235/31/1999No198 Lbs6 ft1NoNoNo1Pro & Farm810,000$801,429$810,000$801,429$0$0$NoLien
Marc McLaughlinEagles (COL)C237/26/1999Yes198 Lbs6 ft0NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Nathan WalkerEagles (COL)LW282/7/1994No187 Lbs5 ft9NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Phil TomasinoEagles (COL)C217/28/2001No179 Lbs6 ft0NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Riley DamianiEagles (COL)C223/20/2000No170 Lbs5 ft10NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Samuel AsselinEagles (COL)C247/1/1998No184 Lbs5 ft10NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Simon HolmstromEagles (COL)RW215/24/2001No183 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Tarmo ReunanenEagles (COL)D243/1/1998No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Teemu KivihalmeEagles (COL)D276/14/1995No181 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.11192 Lbs6 ft01.70877,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140023
230023
320023
410023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140032
235032
325032
40032
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160014
240014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160014
240014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160041
240041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160041
240041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16005060050
24005040050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160023
240023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160032
240032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
6 - 2022-09-148IceHogs-Eagles-
7 - 2022-09-1518Eagles-Heat-
11 - 2022-09-1945Eagles-Wild-
13 - 2022-09-2157Moose-Eagles-
15 - 2022-09-2373Firebirds-Eagles-
16 - 2022-09-2485Eagles-Silver Knights-
19 - 2022-09-2799Eagles-Wolf Pack-
22 - 2022-09-30123Eagles-Comets-
23 - 2022-10-01135Eagles-Islanders-
29 - 2022-10-07174Monsters-Eagles-
30 - 2022-10-08176Eagles-Monsters-
35 - 2022-10-13219Admirals-Eagles-
37 - 2022-10-15233Wolves-Eagles-
39 - 2022-10-17247Thunderbirds-Eagles-
42 - 2022-10-20261Eagles-Wolves-
44 - 2022-10-22279Eagles-Bears-
46 - 2022-10-24298Eagles-Stars-
48 - 2022-10-26317Canucks-Eagles-
50 - 2022-10-28319Eagles-Admirals-
51 - 2022-10-29339Stars-Eagles-
54 - 2022-11-01357Eagles-Moose-
56 - 2022-11-03365Eagles-Americans-
58 - 2022-11-05381Eagles-Bruins-
60 - 2022-11-07397Eagles-Phantoms-
62 - 2022-11-09415Bruins-Eagles-
64 - 2022-11-11430Wolf Pack-Eagles-
66 - 2022-11-13442Eagles-Thunderbirds-
68 - 2022-11-15464Phantoms-Eagles-
70 - 2022-11-17479Americans-Eagles-
72 - 2022-11-19493Admirals-Eagles-
74 - 2022-11-21506Islanders-Eagles-
76 - 2022-11-23520Rocket-Eagles-
78 - 2022-11-25539Eagles-Admirals-
82 - 2022-11-29554Eagles-Roadrunners-
84 - 2022-12-01571Reign-Eagles-
86 - 2022-12-03582Marlies-Eagles-
88 - 2022-12-05596Silver Knights-Eagles-
91 - 2022-12-08619Eagles-Canucks-
93 - 2022-12-10635Eagles-Condors-
96 - 2022-12-13656Checkers-Eagles-
98 - 2022-12-15671Eagles-IceHogs-
100 - 2022-12-17678Senators-Eagles-
102 - 2022-12-19696Griffins-Eagles-
104 - 2022-12-21715Eagles-Heat-
106 - 2022-12-23731Eagles-Canucks-
107 - 2022-12-24743Eagles-Firebirds-
110 - 2022-12-27764Bears-Eagles-
112 - 2022-12-29776Gulls-Eagles-
114 - 2022-12-31788Thunderbirds-Eagles-
124 - 2023-01-10813Eagles-Penguins-
126 - 2023-01-12821Eagles-Crunch-
128 - 2023-01-14839Eagles-Checkers-
131 - 2023-01-17862Crunch-Eagles-
132 - 2023-01-18867Eagles-Wild-
135 - 2023-01-21883Eagles-Thunderbirds-
136 - 2023-01-22898Condors-Eagles-
141 - 2023-01-27935Eagles-Moose-
142 - 2023-01-28945Heat-Eagles-
144 - 2023-01-30956Silver Knights-Eagles-
146 - 2023-02-01971Comets-Eagles-
149 - 2023-02-04997Eagles-Stars-
150 - 2023-02-051005Firebirds-Eagles-
152 - 2023-02-071019Barracuda-Eagles-
154 - 2023-02-091033Reign-Eagles-
156 - 2023-02-111041Roadrunners-Eagles-
158 - 2023-02-131062Eagles-Rocket-
160 - 2023-02-151077Eagles-Marlies-
161 - 2023-02-161080Eagles-Senators-
163 - 2023-02-181095Eagles-Griffins-
165 - 2023-02-201117IceHogs-Eagles-
167 - 2023-02-221133Penguins-Eagles-
169 - 2023-02-241149Roadrunners-Eagles-
171 - 2023-02-261165Eagles-Roadrunners-
172 - 2023-02-271174Eagles-Gulls-
174 - 2023-03-011188Wild-Eagles-
177 - 2023-03-041212Stars-Eagles-
180 - 2023-03-071239Eagles-Barracuda-
182 - 2023-03-091256Eagles-Barracuda-
184 - 2023-03-111272Eagles-Reign-
185 - 2023-03-121274Eagles-Gulls-
187 - 2023-03-141292Condors-Eagles-
189 - 2023-03-161309Moose-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
24,164$ 2,283,500$ 2,283,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,082$ 24,164$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 12,082$ 2,259,334$




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
11823424078451881682041141207431857874120120041410390131031882974854736637815270087391388770225673513118561243427.42%481470.83%1865170550.73%756145152.10%46898147.71%171390515577981711848
11823424078451881682041141207431857874120120041410390131031882974854736637815270087391388770225673513118561243427.42%481470.83%1865170550.73%756145152.10%46898147.71%171390515577981711848
Total Saison régulière16468480141681037633640822824014862170156148240240082820618026206376594970814721261563054001746182617741404512147026237122486827.42%962870.83%21730341050.73%1512290252.10%936196247.71%342618103115159734221696
Séries éliminatoires
111174000002222054100000159663300000713-61422365801895040615212812603471063824218316.67%4325.00%016029554.24%10120848.56%7514053.57%24714320896204103
111174000002222054100000159663300000713-61422365801895040615212812603471063824218316.67%4325.00%016029554.24%10120848.56%7514053.57%24714320896204103
Total Séries éliminatoires2214800000444401082000003018121266000001426-1228447211602161810081230425625206942127648436616.67%8625.00%032059054.24%20241648.56%15028053.57%494287416192409207