Connexion

Moose
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: rbkgoalr | Morale : 40 | Moyenne d’équipe : 60
Prochain matchs #23 vs Wolf Pack
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Wolf Pack
0-0-0, 0pts
2022-09-16
Moose
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%
Moose
0-0-0, 0pts
2022-09-19
Stars
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%
Moose
0-0-0, 0pts
2022-09-21
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%
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 généralrbkgoalr
EntraîneurAndy Moog
DivisionCentral Division
ConférenceWestern Conference
CapitaineTyler Bozak
Assistant #1AJ Greer
Assistant #2Erik Gudbranson


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 90
Espoirs16


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique82-64-28 (0.471%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
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
1Michael Raffl0X100.008846976285848153606461706167780406303311,000,000$
2Tyler Bozak (C)0X100.00544285648179635869665967607783040620362900,000$
3Brad Richardson0X100.00774883628175565786626064607684040610371900,000$
4James Neal0X100.00664880578864476246646561639293040610352900,000$
5Jay Beagle0X100.00815377578782585187595669588285040610362900,000$
6Anton Blidh0X100.00954486648376516146685966605164040610272900,000$
7Sheldon Dries0X100.00634077647760526752677062656068040610282850,000$
8AJ Greer (A)0X100.00924879588760506465686560635669040600252800,000$
9Austin Czarnik0X100.005138786675624966537064626262700406002911,000,000$
10Carter Rowney0X100.00784786608676485968626565635968040600332750,000$
11Colton Sceviour0XX100.00744880598166545557635965607582040590332750,000$
12Brett Connolly0X100.006245715985604264406664626273790405903021,000,000$
13Erik Gudbranson (A)0X100.008861875891817966206464776266790406803011,000,000$
14Jake Walman0X100.00684987568875606720646372625161040620261800,000$
15John Moore0X100.00764780568763317020675970607078040620312900,000$
16Nathan Beaulieu0X100.00626079588469406120665572586069040600292900,000$
17Xavier Ouellet0X100.00505075568360397320696268616672040590292900,000$
18Ryan Murphy0X100.005041755879603171206566686356660405802911,000,000$
Rayé
1Brett Seney0XX100.00803975687260516446706256615365040590262850,000$
2Cole Schwindt (R)0XX100.00844676608060575857646159615363040580212750,000$
3Gage Goncalves (R)0X100.00503875607760485760626162615262040560213850,000$
4Joseph Cramarossa0XX100.00704875568260455660625959605969040560291750,000$
5Collin Adams (R)0XXX100.00504575528160335240615862595161040540241850,000$
6Bryce Misley (R)0XXX100.00504975538360425140605762595161040540231750,000$
7Damien Giroux (R)0X100.00504075557860265160605662585161040530222750,000$
8Christian Jaros0X100.008951835190703559205955705851640406002611,000,000$
9Thomas Schemitsch0X100.00504675528760496820636068605465040580251800,000$
MOYENNE D’ÉQUIPE100.0068477959836749614664616561627104059
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
1Thomas Greiss100.0072807786777775787774768977040750
2Louis Domingue100.0061656287666565666663658073040660
Rayé
1Maxime Lagace100.0064696685686866696966677872040680
MOYENNE D’ÉQUIPE100.006671688670706971716869827404070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andy Moog75757575757575CAN618500,000$


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
AJ GreerMoose (WPG)LW2512/14/1996No210 Lbs6 ft3NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Anton Blidh (contrat à 1 volet)Moose (WPG)LW273/14/1995No197 Lbs6 ft1NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Austin CzarnikMoose (WPG)C2912/12/1992No170 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Brad RichardsonMoose (WPG)RW372/4/1985No190 Lbs6 ft0NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Brett ConnollyMoose (WPG)RW305/2/1992No198 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Lien
Brett SeneyMoose (WPG)C/LW262/28/1996No156 Lbs5 ft9NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Bryce MisleyMoose (WPG)C/LW/RW239/5/1999Yes195 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Carter RowneyMoose (WPG)C335/10/1989No208 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Christian JarosMoose (WPG)D264/2/1996No222 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Cole SchwindtMoose (WPG)C/RW214/25/2001Yes182 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Collin AdamsMoose (WPG)C/LW/RW244/24/1998Yes200 Lbs5 ft9NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Colton SceviourMoose (WPG)C/RW334/20/1989No190 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Damien GirouxMoose (WPG)C223/3/2000Yes179 Lbs5 ft10NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Erik GudbransonMoose (WPG)D301/7/1992No222 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Gage GoncalvesMoose (WPG)C211/16/2001Yes171 Lbs6 ft1NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Jake WalmanMoose (WPG)D262/20/1996No215 Lbs6 ft2NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
James NealMoose (WPG)LW359/3/1987No212 Lbs6 ft3NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Jay BeagleMoose (WPG)C3610/16/1985No210 Lbs6 ft3NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
John MooreMoose (WPG)D3111/19/1990No207 Lbs6 ft3NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Joseph CramarossaMoose (WPG)C/LW2910/26/1992No190 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Louis DomingueMoose (WPG)G307/1/1992No209 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Maxime LagaceMoose (WPG)G297/1/1993No190 Lbs6 ft2NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Michael RafflMoose (WPG)LW3312/1/1988No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Nathan BeaulieuMoose (WPG)D2912/5/1992No200 Lbs6 ft2NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Ryan MurphyMoose (WPG)D293/31/1993No185 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Sheldon DriesMoose (WPG)C284/23/1994No180 Lbs5 ft9NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Thomas Greiss (contrat à 1 volet)Moose (WPG)G361/29/1986No218 Lbs6 ft2YesNoNo3Pro & Farm1,125,000$1,113,095$1,125,000$1,113,095$0$0$No1,125,000$1,125,000$Lien
Thomas SchemitschMoose (WPG)D2510/26/1996No205 Lbs6 ft4NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Tyler Bozak (contrat à 1 volet)Moose (WPG)C363/19/1986No187 Lbs6 ft1NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Xavier OuelletMoose (WPG)D297/29/1993No200 Lbs6 ft0NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.93197 Lbs6 ft11.63884,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RafflTyler BozakBrad Richardson40122
2James NealSheldon DriesColton Sceviour30122
3Anton BlidhJay BeagleBrett Connolly20122
4AJ GreerAustin CzarnikMichael Raffl10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonJake Walman40122
2John MooreNathan Beaulieu30122
3Xavier OuelletRyan Murphy20122
4Erik GudbransonJake Walman10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RafflTyler BozakBrad Richardson60122
2James NealSheldon DriesColton Sceviour40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonJake Walman60122
2John MooreNathan Beaulieu40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RafflTyler Bozak60122
2James NealBrad Richardson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonJake Walman60122
2John MooreNathan Beaulieu40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Raffl60122Erik GudbransonJake Walman60122
2Tyler Bozak40122John MooreNathan Beaulieu40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael RafflTyler Bozak60122
2James NealBrad Richardson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonJake Walman60122
2John MooreNathan Beaulieu40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RafflTyler BozakBrad RichardsonErik GudbransonJake Walman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RafflTyler BozakBrad RichardsonErik GudbransonJake Walman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carter Rowney, Anton Blidh, Jay BeagleCarter Rowney, Anton BlidhJay Beagle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Ouellet, Ryan Murphy, John MooreXavier OuelletRyan Murphy, John Moore
Tirs de pénalité
Michael Raffl, Tyler Bozak, James Neal, Brad Richardson, Sheldon Dries
Gardien
#1 : Thomas Greiss, #2 : Louis Domingue
Lignes d’attaque personnalisées en prolongation
Michael Raffl, Tyler Bozak, James Neal, Brad Richardson, Sheldon Dries, Anton Blidh, Anton Blidh, Jay Beagle, Austin Czarnik, Carter Rowney, AJ Greer
Lignes de défense personnalisées en prolongation
Erik Gudbranson, Jake Walman, John Moore, Nathan Beaulieu, Xavier Ouellet


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
8 - 2022-09-1623Wolf Pack-Moose-
11 - 2022-09-1946Moose-Stars-
13 - 2022-09-2157Moose-Eagles-
14 - 2022-09-2270Moose-Silver Knights-
16 - 2022-09-2478Marlies-Moose-
18 - 2022-09-2695Thunderbirds-Moose-
21 - 2022-09-29120Moose-Reign-
22 - 2022-09-30126Moose-Roadrunners-
24 - 2022-10-02143Moose-Silver Knights-
28 - 2022-10-06165Rocket-Moose-
30 - 2022-10-08177IceHogs-Moose-
33 - 2022-10-11204Stars-Moose-
37 - 2022-10-15236Moose-Heat-
38 - 2022-10-16243Moose-Firebirds-
42 - 2022-10-20266Gulls-Moose-
44 - 2022-10-22276Penguins-Moose-
46 - 2022-10-24294Wolves-Moose-
48 - 2022-10-26303Moose-Wild-
50 - 2022-10-28330Moose-Stars-
52 - 2022-10-30342Moose-IceHogs-
54 - 2022-11-01357Eagles-Moose-
57 - 2022-11-04378Monsters-Moose-
59 - 2022-11-06392Gulls-Moose-
61 - 2022-11-08408Checkers-Moose-
63 - 2022-11-10422Moose-Thunderbirds-
64 - 2022-11-11428Moose-IceHogs-
66 - 2022-11-13446Bears-Moose-
68 - 2022-11-15462Silver Knights-Moose-
70 - 2022-11-17477Admirals-Moose-
72 - 2022-11-19495Moose-Canucks-
73 - 2022-11-20500Moose-Firebirds-
75 - 2022-11-22514Senators-Moose-
77 - 2022-11-24529Moose-Bruins-
78 - 2022-11-25537Moose-Bears-
82 - 2022-11-29552Wild-Moose-
84 - 2022-12-01570Canucks-Moose-
86 - 2022-12-03588Moose-Condors-
89 - 2022-12-06603Heat-Moose-
92 - 2022-12-09624Crunch-Moose-
94 - 2022-12-11638Canucks-Moose-
96 - 2022-12-13654Moose-Griffins-
98 - 2022-12-15668Moose-Americans-
99 - 2022-12-16674Moose-Penguins-
101 - 2022-12-18693Roadrunners-Moose-
103 - 2022-12-20708Moose-Rocket-
105 - 2022-12-22723Moose-Marlies-
107 - 2022-12-24738Moose-Senators-
108 - 2022-12-25749Moose-Phantoms-
110 - 2022-12-27762Moose-Admirals-
112 - 2022-12-29774Americans-Moose-
114 - 2022-12-31790Phantoms-Moose-
116 - 2023-01-02801Thunderbirds-Moose-
128 - 2023-01-14844IceHogs-Moose-
131 - 2023-01-17860Firebirds-Moose-
133 - 2023-01-19872Moose-Monsters-
136 - 2023-01-22900Moose-Comets-
137 - 2023-01-23907Moose-Wolf Pack-
139 - 2023-01-25917Moose-Islanders-
141 - 2023-01-27935Eagles-Moose-
143 - 2023-01-29949Islanders-Moose-
145 - 2023-01-31961Reign-Moose-
148 - 2023-02-03985Moose-Condors-
149 - 2023-02-04995Condors-Moose-
151 - 2023-02-061006Barracuda-Moose-
153 - 2023-02-081022Wild-Moose-
156 - 2023-02-111047Moose-Checkers-
157 - 2023-02-121057Moose-Crunch-
159 - 2023-02-141068Moose-Wolves-
161 - 2023-02-161084Bruins-Moose-
163 - 2023-02-181097Moose-Admirals-
164 - 2023-02-191111Moose-Thunderbirds-
166 - 2023-02-211128Roadrunners-Moose-
168 - 2023-02-231146Moose-Gulls-
170 - 2023-02-251153Moose-Reign-
173 - 2023-02-281185Moose-Barracuda-
176 - 2023-03-031201Griffins-Moose-
178 - 2023-03-051222Comets-Moose-
181 - 2023-03-081240Heat-Moose-
184 - 2023-03-111261Admirals-Moose-
186 - 2023-03-131275Barracuda-Moose-
187 - 2023-03-141291Moose-Wild-
189 - 2023-03-161309Moose-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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
24,974$ 2,360,000$ 2,360,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,487$ 24,974$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 12,487$ 2,335,069$




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
118227320105441641631411218043227781-44115140622287825911642714351113749642018954846477138523648192521439873439.08%1113667.57%1633126749.96%809166148.71%43190947.41%147163316488451858946
118227320105441641631411218043227781-44115140622287825911642714351113749642018954846477138523648192521439873439.08%1113667.57%1633126749.96%809166148.71%43190947.41%147163316488451858946
Total Saison régulière16454640201088328326282243608644154162-8823028012444174164101823285428702227498128403790968129414261704728163850428781746839.08%2227267.57%21266253449.96%1618332248.71%862181847.41%294212673297169137171893