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Manitoba Moose
GP: 6 | W: 1 | L: 5 | OTL: 0 | P: 2
GF: 22 | GA: 46 | PP%: 16.67% | PK%: 66.67%
DG: Dylan Nadeau | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #120 vs Coachella Firebirds

Centre de jeu
Milwaukee Admirals
0-6-0, 0pts
3
FINAL
4 Manitoba Moose
1-5-0, 2pts
Team Stats
L6SéquenceL1
0-2-0Fiche domicile1-2-0
0-4-0Fiche domicile0-3-0
0-6-0Derniers 10 matchs1-5-0
1.83Buts par match 3.67
7.17Buts contre par match 7.67
14.29%Pourcentage en avantage numérique16.67%
77.78%Pourcentage en désavantage numérique66.67%
Manitoba Moose
1-5-0, 2pts
2
FINAL
5 Calgary Wranglers
2-5-0, 4pts
Team Stats
L1SéquenceW2
1-2-0Fiche domicile1-2-0
0-3-0Fiche domicile1-3-0
1-5-0Derniers 10 matchs2-5-0
3.67Buts par match 2.71
7.67Buts contre par match 7.71
16.67%Pourcentage en avantage numérique6.25%
66.67%Pourcentage en désavantage numérique70.00%
Coachella Firebirds
1-4-1, 3pts
2025-10-23
Manitoba Moose
1-5-0, 2pts
Statistiques d’équipe
SOL1SéquenceL1
1-1-0Fiche domicile1-2-0
0-3-1Fiche visiteur0-3-0
1-4-110 derniers matchs1-5-0
2.17Buts par match 3.67
3.83Buts contre par match 3.67
20.00%Pourcentage en avantage numérique16.67%
84.00%Pourcentage en désavantage numérique66.67%
Calgary Wranglers
2-5-0, 4pts
2025-10-24
Manitoba Moose
1-5-0, 2pts
Statistiques d’équipe
W2SéquenceL1
1-2-0Fiche domicile1-2-0
1-3-0Fiche visiteur0-3-0
2-5-010 derniers matchs1-5-0
2.71Buts par match 3.67
7.71Buts contre par match 3.67
6.25%Pourcentage en avantage numérique16.67%
70.00%Pourcentage en désavantage numérique66.67%
Tucson Roadrunners
5-1-0, 10pts
2025-10-26
Manitoba Moose
1-5-0, 2pts
Statistiques d’équipe
W1SéquenceL1
3-0-0Fiche domicile1-2-0
2-1-0Fiche visiteur0-3-0
5-1-010 derniers matchs1-5-0
5.50Buts par match 3.67
2.17Buts contre par match 3.67
28.57%Pourcentage en avantage numérique16.67%
68.75%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Alex LimogesButs
Alex Limoges
5
Kevin LabancPasses
Kevin Labanc
7
Kevin LabancPoints
Kevin Labanc
11
Kevin LabancPlus/Moins
Kevin Labanc
6
Chris DriedgerVictoires
Chris Driedger
1
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.888

Statistiques d’équipe
Buts pour
22
3.67 GFG
Tirs pour
196
32.67 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
34.3%
Buts contre
46
7.67 GAA
Tirs contre
327
54.50 Avg
Pourcentage en désavantage numérique
66.7%%
5 GA
Début de la zone défensive
42.7%
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 Pro14
Équipe Mineure20
Limite contact 34 / 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$
9Adam Engstrom (R)X100.007040815779717256306054584662646340600203950,000$
10Devante StephensX100.007142715780637956305554594668704940600271750,000$
11Scott Harrington (R)X100.007239875581626854305352564572744340600311750,000$
12Simon LundmarkX100.007239885681648555305453574565676940600231775,000$
Rayé
MOYENNE D’ÉQUIPE100.00694184607574785948595759556870504062
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
1Kevin LabancManitoba Moose (WIN)RW447116209172121119.05%29022.60101213000090050.00%2000012.4300000110
2Alex LimogesManitoba Moose (WIN)C45492009102142423.81%27819.70022615000070052.29%10900012.2800000110
3Axel Jonsson-FjallbyManitoba Moose (WIN)LW41672004916396.25%37518.84123815000050066.67%900001.8600000000
4Mason GeertsenManitoba Moose (WIN)LW6505-118032122861317.86%2212621.1200001000021047.06%3400010.7900000010
5Simon LundmarkManitoba Moose (WIN)D6235-10601451831211.11%1913121.94000013000080034.43%6100000.7600000000
6Adam EngstromManitoba Moose (WIN)D604427519137230%810417.360000300007000%000000.7700010000
7Aleksandr KisakovManitoba Moose (WIN)LW4314-120412142521.43%28521.36000112000030043.53%8500000.9400000001
8Rocco GrimaldiManitoba Moose (WIN)RW3044-10049105100%27424.88011012000080051.92%5200001.0700000000
9Brandon BiroManitoba Moose (WIN)LW4112-20004154106.67%26917.25000312000030077.78%900000.5800000000
10Scott HarringtonManitoba Moose (WIN)D41120006531333.33%68020.0511211400009000%000000.5000000000
11Devante StephensManitoba Moose (WIN)D3011060525110%25719.1400051100004000%000000.3500000000
12Tyler WotherspoonManitoba Moose (WIN)D3011-320534320%56622.0900031000006000%000000.3000000000
Statistiques d’équipe totales ou en moyenne51223355-163351111011623610313.58%75104020.39369291390000781047.76%37900031.0600010231
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)31200.8884.0217920121070000030000
Statistiques d’équipe totales ou en moyenne31200.8884.021792012107000030000


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
Adam EngstromManitoba Moose (WIN)D202003-11-17SWEYes193 Lbs6 ft2NoNoTrade2025-10-12NoNo32025-07-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$----------------NoNo-------Lien / Lien NHL
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
1426.86192 Lbs6 ft11.29792,500$



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
3Adam Engstrom20122
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
Adam Engstrom, Scott Harrington, Devante StephensAdam EngstromScott 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
1Bridgeport Islanders1010000079-2000000000001010000079-200.0007142100868038596176054156185120.00%3233.33%06918138.12%9122540.44%4312135.54%10873181427031
2Calgary Wranglers1010000025-3000000000001010000025-300.0002460086803859617604212624300.00%30100.00%06918138.12%9122540.44%4312135.54%10873181427031
3Lehigh Valley Phantoms1010000034-1000000000001010000034-100.00036900868027596176042124196116.67%20100.00%06918138.12%9122540.44%4312135.54%10873181427031
4Milwaukee Admirals11000000431110000004310000000000021.000471100868034596176023128253133.33%4175.00%06918138.12%9122540.44%4312135.54%10873181427031
5Ontario Reign10100000115-1410100000115-140000000000000.0001120086801159617609736418100.00%220.00%06918138.12%9122540.44%4312135.54%10873181427031
6Texas Stars10100000510-510100000510-50000000000000.000510150086804859617606915215000%10100.00%06918138.12%9122540.44%4312135.54%10873181427031
Total615000002246-24312000001028-18303000001218-620.16722426400868019659617603271023011918316.67%15566.67%06918138.12%9122540.44%4312135.54%10873181427031
_Since Last GM Reset615000002246-24312000001028-18303000001218-620.16722426400868019659617603271023011918316.67%15566.67%06918138.12%9122540.44%4312135.54%10873181427031
_Vs Conference413000001233-21312000001028-181010000025-320.25012223400868013159617602317520827114.29%10370.00%06918138.12%9122540.44%4312135.54%10873181427031
_Vs Division21100000320-1711100000115-141000000025-320.500358008680495961760139481042400.00%5260.00%06918138.12%9122540.44%4312135.54%10873181427031

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
62L12242641963271023011900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
61500002246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001028
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30300001218
Derniers 10 matchs
WLOTWOTL SOWSOL
150000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18316.67%15566.67%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
59617608680
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
6918138.12%9122540.44%4312135.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10873181427031


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 Firebirds-Manitoba Moose-
18 - 2025-10-24126Calgary Wranglers-Manitoba Moose-
20 - 2025-10-26143Tucson Roadrunners-Manitoba Moose-
22 - 2025-10-28157Manitoba Moose-Iowa Wild-
24 - 2025-10-30174Rockford IceHogs-Manitoba Moose-
26 - 2025-11-01182Wilkes-Barre Scranton Penguins-Manitoba Moose-
29 - 2025-11-04212Manitoba Moose-Ontario Reign-
32 - 2025-11-07230Manitoba Moose-San Jose Barracuda-
34 - 2025-11-09251Manitoba Moose-San Diego Gulls-
36 - 2025-11-11263Manitoba Moose-Abbotsford Canucks-
38 - 2025-11-13278Manitoba Moose-Coachella Firebirds-
40 - 2025-11-15294Manitoba Moose-Calgary Wranglers-
43 - 2025-11-18311Cleveland Monsters-Manitoba Moose-
46 - 2025-11-21333Chicago Wolves-Manitoba Moose-
48 - 2025-11-23348Iowa Wild-Manitoba Moose-
51 - 2025-11-26367Manitoba Moose-Hershey Bears-
53 - 2025-11-28387Manitoba Moose-Chicago Wolves-
54 - 2025-11-29397Manitoba Moose-Milwaukee Admirals-
56 - 2025-12-01408Manitoba Moose-Rochester Americans-
58 - 2025-12-03422Manitoba Moose-Laval Rocket-
60 - 2025-12-05437Rochester Americans-Manitoba Moose-
61 - 2025-12-06450Manitoba Moose-Bakersfield Condors-
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
6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
388,550$ 5,547,500$ 5,547,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 388,550$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 28,893$ 5,142,954$




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