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Manitoba Moose
GP: 28 | W: 13 | L: 14 | OTL: 1 | P: 27
GF: 113 | GA: 130 | PP%: 17.44% | PK%: 76.39%
DG: Dylan Nadeau | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #473 vs Texas Stars

Centre de jeu
Rochester Americans
21-7-0, 42pts
4
2 Manitoba Moose
13-14-1, 27pts
Team Stats
W1SéquenceW1
12-4-0Fiche domicile5-6-1
9-3-0Fiche domicile8-8-0
9-1-0Derniers 10 matchs4-5-1
4.21Buts par match 4.04
2.50Buts contre par match 4.64
23.17%Pourcentage en avantage numérique17.44%
79.01%Pourcentage en désavantage numérique76.39%
Manitoba Moose
13-14-1, 27pts
6
1 Bakersfield Condors
2-27-0, 4pts
Team Stats
W1SéquenceL2
5-6-1Fiche domicile2-10-0
8-8-0Fiche domicile0-17-0
4-5-1Derniers 10 matchs1-9-0
4.04Buts par match 2.34
4.64Buts contre par match 6.00
17.44%Pourcentage en avantage numérique8.70%
76.39%Pourcentage en désavantage numérique53.33%
Texas Stars
4-24-1, 9pts
2025-12-09
Manitoba Moose
13-14-1, 27pts
Statistiques d’équipe
L3SéquenceW1
2-11-1Fiche domicile5-6-1
2-13-0Fiche visiteur8-8-0
2-7-110 derniers matchs4-5-1
3.52Buts par match 4.04
9.17Buts contre par match 4.04
9.72%Pourcentage en avantage numérique17.44%
32.50%Pourcentage en désavantage numérique76.39%
Providence Bruins
13-16-1, 27pts
2025-12-11
Manitoba Moose
13-14-1, 27pts
Statistiques d’équipe
L1SéquenceW1
6-9-1Fiche domicile5-6-1
7-7-0Fiche visiteur8-8-0
5-5-010 derniers matchs4-5-1
3.87Buts par match 4.04
4.53Buts contre par match 4.04
29.27%Pourcentage en avantage numérique17.44%
72.73%Pourcentage en désavantage numérique76.39%
Hershey Bears
12-15-2, 26pts
2025-12-13
Manitoba Moose
13-14-1, 27pts
Statistiques d’équipe
L1SéquenceW1
6-8-1Fiche domicile5-6-1
6-7-1Fiche visiteur8-8-0
4-6-010 derniers matchs4-5-1
3.48Buts par match 4.04
3.93Buts contre par match 4.04
31.46%Pourcentage en avantage numérique17.44%
76.56%Pourcentage en désavantage numérique76.39%
Meneurs d'équipe
Rocco GrimaldiButs
Rocco Grimaldi
26
Axel Jonsson-FjallbyPasses
Axel Jonsson-Fjallby
26
Rocco GrimaldiPoints
Rocco Grimaldi
48
Scott HarringtonPlus/Moins
Scott Harrington
24
Chris DriedgerVictoires
Chris Driedger
13
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.902

Statistiques d’équipe
Buts pour
113
4.04 GFG
Tirs pour
1026
36.64 Avg
Pourcentage en avantage numérique
17.4%
15 GF
Début de zone offensive
38.3%
Buts contre
130
4.64 GAA
Tirs contre
1189
42.46 Avg
Pourcentage en désavantage numérique
76.4%%
17 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralDylan Nadeau
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure20
Limite contact 33 / 250
Espoirs51


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
1Alex LimogesX100.006937936678808164736563626669703640650271775,000$
2Kevin LabancX100.007134896769787466536860626574703940650281775,000$
3Rocco GrimaldiX100.006236876662958665736863616472744740650311750,000$
4Axel Jonsson-FjallbyX100.007037936475798562586059616367695240640261775,000$
5Brandon BiroX100.005536886366788262676361626367693740630261775,000$
6Mason GeertsenX100.008379535692717653515552595470725040600291775,000$
7Aleksandr KisakovX100.006037865760806756555458535763657040590211925,000$
8Tyler WotherspoonX100.007338935982668656305852574572744340620311750,000$
9Devante StephensX100.007142715780637956305554594668704940600271750,000$
10Scott Harrington (R)X100.007239875581626854305352564572744340600311750,000$
11Simon LundmarkX100.007239885681648555305453574565676940600231775,000$
Rayé
MOYENNE D’ÉQUIPE100.00694184617574795950595759566970494062
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
1Chris Driedger100.00758378887473757473757471855140670302795,000$
2Filip Larsson (R)100.00747672797372747372747367774240660262775,000$
Rayé
MOYENNE D’ÉQUIPE100.0075807584747375747375746981474067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Rocco GrimaldiManitoba Moose (WIN)RW2526224819604381147448017.69%1263425.40641028750114703055.81%39600021.5111000612
2Alex LimogesManitoba Moose (WIN)C2621244522204468122428517.21%548818.8125734790000382054.56%68000021.8401000334
3Kevin LabancManitoba Moose (WIN)RW261725421410069781422610211.97%1759622.9412320661011683154.88%8200021.4101000321
4Axel Jonsson-FjallbyManitoba Moose (WIN)LW2672633216038459424577.45%847918.4516722790000311053.06%4900001.3801000021
5Aleksandr KisakovManitoba Moose (WIN)LW2691524580324871174212.68%654821.1010110660000270045.71%56000000.8701000002
6Simon LundmarkManitoba Moose (WIN)D2822123-624043213714315.41%5561822.090334710000480034.43%6100000.7400000000
7Brandon BiroManitoba Moose (WIN)LW269132270016399927649.09%740215.471232065000071247.62%4200001.0901000002
8Tyler WotherspoonManitoba Moose (WIN)D2521517-112050343013286.67%4155822.341231568000050000%000000.6100000010
9Mason GeertsenManitoba Moose (WIN)LW2815217-29280120611373810010.95%5653118.99000250000123047.37%5700010.6401000120
10Devante StephensManitoba Moose (WIN)D2501414233356119338230%3449319.760111765000048000%000000.5701010000
11Scott HarringtonManitoba Moose (WIN)D263912248037162772411.11%3951819.94224669011157010%000000.4601000020
Statistiques d’équipe totales ou en moyenne28711118629799137555351093926063611.82%280587220.46152742178713123646213451.22%192700071.0119010131312
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
1Chris DriedgerManitoba Moose (WIN)25131110.9023.79147480939530310.70010250211
2Filip LarssonManitoba Moose (WIN)10000.9331.88320011500000025000
Statistiques d’équipe totales ou en moyenne26131110.9033.7415078094968031102525211


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aleksandr KisakovManitoba Moose (WIN)LW212002-11-01RUSNo150 Lbs5 ft10NoNoTrade2025-06-15NoNo12024-09-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Alex LimogesManitoba Moose (WIN)C271997-09-16USANo201 Lbs6 ft1NoNoN/ANoYes12024-09-17FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Axel Jonsson-FjallbyManitoba Moose (WIN)LW261998-02-10SWENo189 Lbs6 ft1NoNoTrade2025-01-30NoYes12024-09-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Brandon BiroManitoba Moose (WIN)LW261998-03-11CANNo170 Lbs5 ft11NoNoN/ANoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Chris DriedgerManitoba Moose (WIN)G301994-05-18CANNo208 Lbs6 ft4NoNoN/ANoYes22025-07-16FalseFalsePro & Farm795,000$0$0$No795,000$-----------------No--------Lien / Lien NHL
Devante StephensManitoba Moose (WIN)D271997-01-02CANNo185 Lbs6 ft3NoNoTrade2025-10-08NoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Filip LarssonManitoba Moose (WIN)G261998-08-17SWEYes194 Lbs6 ft2NoNoProspectNoYes22025-07-16FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Kevin LabancManitoba Moose (WIN)RW281995-12-12USANo185 Lbs5 ft11NoNoN/ANoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Mason GeertsenManitoba Moose (WIN)LW291995-04-19CANNo227 Lbs6 ft4NoNoTrade2024-03-09NoYes12024-09-17FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Rocco GrimaldiManitoba Moose (WIN)RW311993-02-08USANo180 Lbs5 ft6NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Scott HarringtonManitoba Moose (WIN)D311993-03-10CANYes204 Lbs6 ft2NoNoDraftNoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Simon LundmarkManitoba Moose (WIN)D232000-10-08SWENo201 Lbs6 ft2NoNoTrade2024-10-10NoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Tyler WotherspoonManitoba Moose (WIN)D311993-03-12CANNo207 Lbs6 ft2NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1327.38192 Lbs6 ft11.15780,385$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson-FjallbyAlex LimogesRocco Grimaldi30122
2Brandon BiroAleksandr KisakovKevin Labanc30122
3Mason Geertsen20122
4Aleksandr KisakovRocco GrimaldiKevin Labanc20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonSimon Lundmark30122
2Scott HarringtonDevante Stephens30122
320122
4Tyler WotherspoonSimon Lundmark20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson-FjallbyAlex LimogesRocco Grimaldi60122
2Brandon BiroAleksandr KisakovKevin Labanc40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonSimon Lundmark60122
2Scott HarringtonDevante Stephens40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rocco GrimaldiKevin Labanc60122
2Alex LimogesAxel Jonsson-Fjallby40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonSimon Lundmark60122
2Scott HarringtonDevante Stephens40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rocco Grimaldi60122Tyler WotherspoonSimon Lundmark60122
2Kevin Labanc40122Scott HarringtonDevante Stephens40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rocco GrimaldiKevin Labanc60122
2Alex LimogesAxel Jonsson-Fjallby40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonSimon Lundmark60122
2Scott HarringtonDevante Stephens40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson-FjallbyAlex LimogesRocco GrimaldiTyler WotherspoonSimon Lundmark
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson-FjallbyAlex LimogesRocco GrimaldiTyler WotherspoonSimon Lundmark
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Geertsen, Brandon Biro, Aleksandr KisakovMason Geertsen, Brandon BiroAleksandr Kisakov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Scott Harrington, Devante StephensScott Harrington, Devante Stephens
Tirs de pénalité
Rocco Grimaldi, Kevin Labanc, Alex Limoges, Axel Jonsson-Fjallby, Brandon Biro
Gardien
#1 : Chris Driedger, #2 : Filip Larsson


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
1Abbotsford Canucks10001000431000000000001000100043121.000471100414228426306369344175096225240.00%3233.33%042596144.22%439105841.49%20648842.21%610427740196338162
2Bakersfield Condors11000000615000000000001100000061521.000611170041422847930636934417236240000%10100.00%042596144.22%439105841.49%20648842.21%610427740196338162
3Bridgeport Islanders1010000079-2000000000001010000079-200.00071421004142284383063693441754156185120.00%3233.33%042596144.22%439105841.49%20648842.21%610427740196338162
4Calgary Wranglers31200000141311010000035-221100000118320.333142842004142284119306369344171263323689111.11%9188.89%042596144.22%439105841.49%20648842.21%610427740196338162
5Chicago Wolves2010000148-41000000123-11010000025-310.2504610004142284833063693441710929652800.00%2150.00%042596144.22%439105841.49%20648842.21%610427740196338162
6Cleveland Monsters1010000034-11010000034-10000000000000.000347004142284273063693441736152204125.00%10100.00%042596144.22%439105841.49%20648842.21%610427740196338162
7Coachella Firebirds21001000752100010005411100000021141.0007132000414228460306369344176633124310440.00%5180.00%042596144.22%439105841.49%20648842.21%610427740196338162
8Hershey Bears1010000036-3000000000001010000036-300.000369004142284333063693441734154215120.00%20100.00%042596144.22%439105841.49%20648842.21%610427740196338162
9Iowa Wild220000002061411000000102811000000104641.000203555004142284113306369344176521848200.00%40100.00%142596144.22%439105841.49%20648842.21%610427740196338162
10Laval Rocket11000000752000000000001100000075221.00071320004142284513063693441738154247228.57%20100.00%042596144.22%439105841.49%20648842.21%610427740196338162
11Lehigh Valley Phantoms1010000034-1000000000001010000034-100.000369004142284273063693441742124196116.67%20100.00%042596144.22%439105841.49%20648842.21%610427740196338162
12Milwaukee Admirals22000000642110000004311100000021141.000610160041422847030636934417452410519111.11%5180.00%042596144.22%439105841.49%20648842.21%610427740196338162
13Ontario Reign20200000422-1810100000115-141010000037-400.00047110041422844330636934417140451043300.00%4250.00%042596144.22%439105841.49%20648842.21%610427740196338162
14Rochester Americans20200000211-91010000024-21010000007-700.0002460041422844430636934417106422658300.00%13469.23%042596144.22%439105841.49%20648842.21%610427740196338162
15Rockford IceHogs11000000413110000004130000000000021.00046100041422843930636934417359622300.00%30100.00%042596144.22%439105841.49%20648842.21%610427740196338162
16San Diego Gulls11000000431000000000001100000043121.000461000414228442306369344173474264125.00%20100.00%042596144.22%439105841.49%20648842.21%610427740196338162
17San Jose Barracuda1010000027-5000000000001010000027-500.000224004142284193063693441756131022000%3166.67%042596144.22%439105841.49%20648842.21%610427740196338162
18Texas Stars10100000510-510100000510-50000000000000.0005101500414228448306369344176915215000%10100.00%042596144.22%439105841.49%20648842.21%610427740196338162
19Tucson Roadrunners11000000642110000006420000000000021.0006101600414228429306369344173151221000%5260.00%042596144.22%439105841.49%20648842.21%610427740196338162
20Wilkes-Barre Scranton Penguins1010000024-21010000024-20000000000000.00023510414228436306369344173011421300.00%20100.00%042596144.22%439105841.49%20648842.21%610427740196338162
Total28111402001113130-171246010014759-121678010006671-5270.4821132013141041422841026306369344171189374161654861517.44%721776.39%142596144.22%439105841.49%20648842.21%610427740196338162
_Since Last GM Reset28111402001113130-171246010014759-121678010006671-5270.4821132013141041422841026306369344171189374161654861517.44%721776.39%142596144.22%439105841.49%20648842.21%610427740196338162
_Vs Conference20107020018687-1943010014047-711640100046406250.625861512370041422847703063693441784924911147353916.98%471176.60%142596144.22%439105841.49%20648842.21%610427740196338162
_Vs Division1152000014154-1333100001924-158210000032302110.5004174115004142284388306369344174951466726431825.81%27774.07%042596144.22%439105841.49%20648842.21%610427740196338162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2827W11132013141026118937416165410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2811142001113130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124610014759
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
167810006671
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
861517.44%721776.39%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
306369344174142284
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
42596144.22%439105841.49%20648842.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
610427740196338162


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
3 - 2025-10-0917Texas Stars10Manitoba Moose5LSommaire du match
5 - 2025-10-1122Ontario Reign15Manitoba Moose1LSommaire du match
7 - 2025-10-1342Manitoba Moose7Bridgeport Islanders9LSommaire du match
10 - 2025-10-1666Manitoba Moose3Lehigh Valley Phantoms4LSommaire du match
12 - 2025-10-1884Milwaukee Admirals3Manitoba Moose4WSommaire du match
14 - 2025-10-2096Manitoba Moose2Calgary Wranglers5LSommaire du match
17 - 2025-10-23120Coachella Firebirds4Manitoba Moose5WXSommaire du match
18 - 2025-10-24126Calgary Wranglers5Manitoba Moose3LSommaire du match
20 - 2025-10-26143Tucson Roadrunners4Manitoba Moose6WSommaire du match
22 - 2025-10-28157Manitoba Moose10Iowa Wild4WSommaire du match
24 - 2025-10-30174Rockford IceHogs1Manitoba Moose4WSommaire du match
26 - 2025-11-01182Wilkes-Barre Scranton Penguins4Manitoba Moose2LSommaire du match
29 - 2025-11-04212Manitoba Moose3Ontario Reign7LSommaire du match
32 - 2025-11-07230Manitoba Moose2San Jose Barracuda7LSommaire du match
34 - 2025-11-09251Manitoba Moose4San Diego Gulls3WSommaire du match
36 - 2025-11-11263Manitoba Moose4Abbotsford Canucks3WXSommaire du match
38 - 2025-11-13278Manitoba Moose2Coachella Firebirds1WSommaire du match
40 - 2025-11-15294Manitoba Moose9Calgary Wranglers3WSommaire du match
43 - 2025-11-18311Cleveland Monsters4Manitoba Moose3LSommaire du match
46 - 2025-11-21333Chicago Wolves3Manitoba Moose2LXXSommaire du match
48 - 2025-11-23348Iowa Wild2Manitoba Moose10WSommaire du match
51 - 2025-11-26367Manitoba Moose3Hershey Bears6LSommaire du match
53 - 2025-11-28387Manitoba Moose2Chicago Wolves5LSommaire du match
54 - 2025-11-29397Manitoba Moose2Milwaukee Admirals1WSommaire du match
56 - 2025-12-01408Manitoba Moose0Rochester Americans7LSommaire du match
58 - 2025-12-03422Manitoba Moose7Laval Rocket5WSommaire du match
60 - 2025-12-05437Rochester Americans4Manitoba Moose2LSommaire du match
61 - 2025-12-06450Manitoba Moose6Bakersfield Condors1WSommaire du match
64 - 2025-12-09473Texas Stars-Manitoba Moose-
66 - 2025-12-11489Providence Bruins-Manitoba Moose-
68 - 2025-12-13503Hershey Bears-Manitoba Moose-
70 - 2025-12-15516Belleville Senators-Manitoba Moose-
72 - 2025-12-17531Manitoba Moose-Springfield Thunderbirds-
74 - 2025-12-19546Manitoba Moose-Colorado Eagles-
76 - 2025-12-21569Manitoba Moose-Tucson Roadrunners-
82 - 2025-12-27594Iowa Wild-Manitoba Moose-
84 - 2025-12-29609Bakersfield Condors-Manitoba Moose-
86 - 2025-12-31626Manitoba Moose-Grand Rapids Griffins-
87 - 2026-01-01634Manitoba Moose-Toronto Marlies-
89 - 2026-01-03650Manitoba Moose-Belleville Senators-
92 - 2026-01-06673Henderson Silver Knights-Manitoba Moose-
94 - 2026-01-08690Bakersfield Condors-Manitoba Moose-
95 - 2026-01-09695Ontario Reign-Manitoba Moose-
97 - 2026-01-11711Utica Comets-Manitoba Moose-
99 - 2026-01-13732Bridgeport Islanders-Manitoba Moose-
101 - 2026-01-15744Manitoba Moose-Iowa Wild-
103 - 2026-01-17762Toronto Marlies-Manitoba Moose-
105 - 2026-01-19776Manitoba Moose-Rockford IceHogs-
106 - 2026-01-20785Springfield Thunderbirds-Manitoba Moose-
108 - 2026-01-22799Charlotte Checkers-Manitoba Moose-
110 - 2026-01-24815Grand Rapids Griffins-Manitoba Moose-
113 - 2026-01-27835Manitoba Moose-Utica Comets-
115 - 2026-01-29847Manitoba Moose-Syracuse Crunch-
117 - 2026-01-31862Manitoba Moose-Charlotte Checkers-
119 - 2026-02-02882Manitoba Moose-Texas Stars-
121 - 2026-02-04895Laval Rocket-Manitoba Moose-
142 - 2026-02-25915Manitoba Moose-Abbotsford Canucks-
144 - 2026-02-27933Manitoba Moose-San Diego Gulls-
146 - 2026-03-01950Manitoba Moose-San Jose Barracuda-
148 - 2026-03-03964Rockford IceHogs-Manitoba Moose-
150 - 2026-03-05980Syracuse Crunch-Manitoba Moose-
152 - 2026-03-07996Abbotsford Canucks-Manitoba Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101022San Diego Gulls-Manitoba Moose-
157 - 2026-03-121036Hartford Wolf Pack-Manitoba Moose-
159 - 2026-03-141045Colorado Eagles-Manitoba Moose-
160 - 2026-03-151057Springfield Thunderbirds-Manitoba Moose-
162 - 2026-03-171071Milwaukee Admirals-Manitoba Moose-
164 - 2026-03-191083Manitoba Moose-Providence Bruins-
166 - 2026-03-211099Manitoba Moose-Wilkes-Barre Scranton Penguins-
167 - 2026-03-221110Manitoba Moose-Hartford Wolf Pack-
169 - 2026-03-241131Henderson Silver Knights-Manitoba Moose-
171 - 2026-03-261145Colorado Eagles-Manitoba Moose-
173 - 2026-03-281162Manitoba Moose-Colorado Eagles-
176 - 2026-03-311186Manitoba Moose-Rockford IceHogs-
178 - 2026-04-021198Manitoba Moose-Texas Stars-
180 - 2026-04-041215Manitoba Moose-Cleveland Monsters-
182 - 2026-04-061230Coachella Firebirds-Manitoba Moose-
185 - 2026-04-091253Manitoba Moose-Springfield Thunderbirds-
187 - 2026-04-111272Lehigh Valley Phantoms-Manitoba Moose-
189 - 2026-04-131290Manitoba Moose-Henderson Silver Knights-
190 - 2026-04-141297Manitoba Moose-Tucson Roadrunners-
192 - 2026-04-161308San Jose Barracuda-Manitoba Moose-



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
-3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,736,625$ 5,072,500$ 5,072,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,736,625$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 131 26,419$ 3,460,889$




Manitoba Moose Leaders statistiques des joueurs (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

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

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

Manitoba Moose Leaders statistiques des joueurs (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

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