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Manitoba Moose
GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8
GF: 56 | GA: 67 | PP%: 33.33% | PK%: 56.82%
DG: Patrick Lussier | Morale : 49 | Moyenne d’équipe : 56
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Centre de jeu
Manitoba Moose
4-6-0, 8pts
6
FINAL
11 Hartford Wolf Pack
7-3-0, 14pts
Team Stats
L2StreakL1
2-3-0Home Record3-2-0
2-3-0Away Record4-1-0
4-6-0Last 10 Games7-3-0
5.60Buts par match 6.40
6.70Buts contre par match 4.50
33.33%Pourcentage en avantage numérique47.22%
56.82%Pourcentage en désavantage numérique62.96%
Quebec Rempart
7-3-0, 14pts
7
FINAL
5 Manitoba Moose
4-6-0, 8pts
Team Stats
W3StreakL2
4-1-0Home Record2-3-0
3-2-0Away Record2-3-0
7-3-0Last 10 Games4-6-0
6.00Buts par match 5.60
5.00Buts contre par match 6.70
43.33%Pourcentage en avantage numérique33.33%
67.65%Pourcentage en désavantage numérique56.82%
Meneurs d'équipe
Buts
Cole Koepke
11
Daniel WalcottPasses
Daniel Walcott
8
Points
Cole Koepke
18
Daniel WalcottPlus/Moins
Daniel Walcott
3
Justus AnnunenVictoires
Justus Annunen
3
Justus AnnunenPourcentage d’arrêts
Justus Annunen
0.835

Statistiques d’équipe
Buts pour
56
5.60 GFG
Tirs pour
284
28.40 Avg
Pourcentage en avantage numérique
33.3%
6 GF
Début de zone offensive
27.1%
Buts contre
67
6.70 GAA
Tirs contre
337
33.70 Avg
Pourcentage en désavantage numérique
56.8%
19 GA
Début de la zone défensive
31.0%
Informations de l'équipe

Directeur généralPatrick Lussier
EntraîneurMike Kelly
DivisionRon Francis
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure25
Limite contact 43 / 50
Espoirs45


Historique d'équipe

Saison actuelle4-6-0 (8PTS)
Historique128-83-28 (0.536%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)3-4
Coupe Stanley0


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
1Cole Koepke (R)0XXX100.007472776372595960505560635744446250570241842,500$
2Jared McIsaac (R)0X100.007571856771586050254441613944445450560221764,167$
3Daniel Walcott0XX100.006666666566555749504547564544445250540281750,000$
Rayé
1Sean Malone0X100.007571836471565468806171666744446750610271750,000$
2Shane Gersich0XX100.006966766366676959745558605544446050570251750,000$
3Chase Pearson0X100.007975886775636654685053645044445950570241917,831$
4Peter Abbandonato (R)0X100.007769966569555556706048644644445850560241750,000$
5Cole Fonstad (R)0XX100.007060937060504957715258605544446050550221700,000$
6Adam Raska (R)0XX100.006868686768555750504847584544445350520201848,333$
7Bryce Misley (R)0X100.0071697562694241506338565953444454505102200$
8Jake Walman0X100.0073429374656464642551487425585960506302611,050,000$
9Thomas Schemitsch0X100.0079788163786367492542416339444454505702500$
10Andreas Borgman0X100.007573806773454454253753655055555750560271750,000$
11Guillaume Brisebois0X100.007167806867515348253941613952525250550241750,000$
12Michael Callahan (R)0X100.008073956773373645253341623944445050530221883,750$
MOYENNE D’ÉQUIPE100.00736882667055555448475162474646575056
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
Rayé
1Christopher Gibson100.00534151825756535858579545455550550291825,000$
2Evan Cormier (R)100.005344558055555458585730444454505502400$
3Justus Annunen (R)100.00474151824848505351513044444950510221880,833$
MOYENNE D’ÉQUIPE100.0051425281535352565655524444535054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Kelly69797069938751CAN62170,000$


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
1Cole KoepkeManitoba Moose (VAN)C/LW/RW1011718-6261081149213922.45%717417.4922469000000117.4913125022.0600110311
2Daniel WalcottManitoba Moose (VAN)LW/D1008839522141060.00%4949.450000000000000.00%012001.6900001010
3Eetu LuostarinenCanucksC/LW2213-30014151613.33%14623.4800000000050023.485442001.2800000000
4Jared McIsaacManitoba Moose (VAN)D10033200009550.00%1404.080000000000000.00%000001.4700000110
Statistiques d’équipe totales ou en moyenne32131932-43515111787375614.94%1335711.16224610000050147.76%67179021.7900111431
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
1Justus AnnunenManitoba Moose (VAN)53000.8355.16256202213382000.00%055001
Statistiques d’équipe totales ou en moyenne53000.8355.1625620221338200055001


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 Plafond 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 RaskaManitoba Moose (VAN)LW/RW202001-09-25Yes183 Lbs5 ft10NoNoNo1Pro & Farm848,333$0$0$No
Andreas BorgmanManitoba Moose (VAN)D271995-06-18No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Bryce MisleyManitoba Moose (VAN)C221999-09-05Yes185 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Chase PearsonManitoba Moose (VAN)C241997-08-22No200 Lbs6 ft2NoNoNo1Pro & Farm917,831$0$0$NoLien / Lien NHL
Christopher GibsonManitoba Moose (VAN)G291992-12-27No217 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Cole FonstadManitoba Moose (VAN)C/LW222000-04-24Yes165 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$No
Cole KoepkeManitoba Moose (VAN)C/LW/RW241998-05-17Yes196 Lbs6 ft1NoNoNo1Pro & Farm842,500$0$0$NoLien
Daniel WalcottManitoba Moose (VAN)LW/D281994-02-19No175 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Evan CormierManitoba Moose (VAN)G241997-11-06Yes200 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Guillaume BriseboisManitoba Moose (VAN)D241997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jake WalmanManitoba Moose (VAN)D261996-02-20No170 Lbs6 ft1NoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
Jared McIsaacManitoba Moose (VAN)D222000-03-27Yes192 Lbs6 ft1NoNoNo1Pro & Farm764,167$0$0$NoLien / Lien NHL
Justus AnnunenManitoba Moose (VAN)G222000-03-11Yes207 Lbs6 ft3NoNoNo1Pro & Farm880,833$0$0$NoLien / Lien NHL
Michael CallahanManitoba Moose (VAN)D221999-09-23Yes196 Lbs6 ft2NoNoNo1Pro & Farm883,750$0$0$No
Peter AbbandonatoManitoba Moose (VAN)C241998-03-25Yes194 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Sean MaloneManitoba Moose (VAN)C271995-04-30No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Shane GersichManitoba Moose (VAN)C/LW251996-07-10No180 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Thomas SchemitschManitoba Moose (VAN)D251996-10-26No205 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1824.28191 Lbs6 ft10.83678,467$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke40122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Daniel Walcott20122
4Jared McIsaac10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Koepke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Koepke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Daniel Walcott, Daniel Walcott,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Hartford Wolf Pack20200000919-101010000038-510100000611-500.000917260015212006779941110602045226350.00%10640.00%05215034.67%4617226.74%7023230.17%17610224010818269
2Hershey Bears220000001578110000006421100000093641.0001529440015212005979941110581824174125.00%7271.43%05215034.67%4617226.74%7023230.17%17610224010818269
3Quebec Rempart20200000813-51010000057-21010000036-300.00081422001521200547994111077272118100.00%9366.67%05215034.67%4617226.74%7023230.17%17610224010818269
4Rimouski Oceanic2200000015105110000008441100000076141.0001529440015212006079941110703416225240.00%8362.50%05215034.67%4617226.74%7023230.17%17610224010818269
5Worcester Sharks20200000918-910100000510-51010000048-400.00091726001521200447994111072282019200.00%10550.00%05215034.67%4617226.74%7023230.17%17610224010818269
Total1046000005667-11523000002733-6523000002934-580.40056106162001521200284799411103371271269818633.33%441956.82%05215034.67%4617226.74%7023230.17%17610224010818269
_Since Last GM Reset1046000005667-11523000002733-6523000002934-580.40056106162001521200284799411103371271269818633.33%441956.82%05215034.67%4617226.74%7023230.17%17610224010818269
_Vs Conference1046000005667-11523000002733-6523000002934-580.40056106162001521200284799411103371271269818633.33%441956.82%05215034.67%4617226.74%7023230.17%17610224010818269

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L2561061622843371271269800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600005667
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300002733
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300002934
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18633.33%441956.82%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
799411101521200
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
5215034.67%4617226.74%7023230.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
17610224010818269


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
2 - 2022-09-2615Manitoba Moose7Rimouski Oceanic6AWSommaire du match
3 - 2022-09-2727Rimouski Oceanic4Manitoba Moose8BWSommaire du match
5 - 2022-09-2947Hershey Bears4Manitoba Moose6BWSommaire du match
6 - 2022-09-3057Manitoba Moose4Worcester Sharks8ALSommaire du match
7 - 2022-10-0176Worcester Sharks10Manitoba Moose5BLSommaire du match
8 - 2022-10-0281Manitoba Moose3Quebec Rempart6ALSommaire du match
10 - 2022-10-04110Hartford Wolf Pack8Manitoba Moose3BLSommaire du match
11 - 2022-10-05116Manitoba Moose9Hershey Bears3AWSommaire du match
12 - 2022-10-06127Manitoba Moose6Hartford Wolf Pack11ALSommaire du match
16 - 2022-10-10160Quebec Rempart7Manitoba Moose5BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,221,241$ 1,221,241$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Manitoba Moose 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
1Michael McLeod286243360603160178374659125719.33%210578020.2148136184165841238361652.98122.09033
2Matt Beleskey32819225644892632488520123215.58%216635319.37561041601604121652161247.4141.413248
3Gerald Mayhew3911802474272278447453151411.89%145612415.664448921261011019242.9341.3918
4Eetu Luostarinen261136154290-1020030645595114.30%203480018.39334376720111011655.9811.211833
5Sean Malone374122165287-12517458578103711.76%175529614.16841215135184518552.6411.08120

Manitoba Moose 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
1Christopher Gibson345190107380.8913.991962518013051200066211990.685111
2Evan Cormier782020120.8634.9738310031723161434040.65292
3Justus Annunen2510810.8655.19122540106785478101.0004

Manitoba Moose 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
202082352604674393355384118120144219117417411714032322021812110239362610193089165128203064913106110508230621030185015952358234.89%2597770.27%7904173752.04%1006189153.20%794152252.17%167089417387851581782
202082352604674393355384118120144219117417411714032322021812110239362610193089165128203064913106110508230621030185015952358234.89%2597770.27%7904173752.04%1006189153.20%794152252.17%167089417387851581782
202178273107625342342039111903213167178-1139161204412175164118334255189310751391191328007971001974532866964106714322046330.88%2369161.44%7887158256.07%861169950.68%695136950.77%160185816307381509761
Total Saison régulière2429783015181613112810527612147430510975495262312150400108765795265328711281803293170253469375538928262331233074217899030244767462267422733.68%75424567.51%212695505653.30%2873548152.42%2283441351.73%494226465108230946712326
Séries éliminatoires
2020734000002734-7413000001725-8321000001091627426900313110281761228302188012713710220.00%261061.54%08317148.54%7114748.30%6812255.74%138731456913663
Total Séries éliminatoires734000002734-7413000001725-8321000001091627426900313110281761228302188012713710220.00%261061.54%08317148.54%7114748.30%6812255.74%138731456913663

Manitoba Moose 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
1Michael McLeod7369221419339.09%514020.07011200020055.7801.2800
2Matt Beleskey7347289112512.00%613018.63000100010040.0001.0700
3Matt Lorito7347-406102512.00%210615.27022100002140.0001.3100
4Gerald Mayhew7347301082711.11%310915.71000100000040.9101.2700
5Sean Malone7617-6169133119.35%212117.31101100000045.3011.1600

Manitoba Moose 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
1Christopher Gibson73300.8564.383840028194104000.00%0
2Evan Cormier20100.75010.29350062410000.00%0