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Connexion
ManitobaManitoba Manitoba
24-12-3, 51pts · 4th in Conference Ouest

Manitoba
GP: 39 | W: 24 | L: 12 | OTL: 3 | P: 51
GF: 73 | GA: 60 | PP%: 20.67% | PK%: 78.01%
DG: Frederic Jannelle | Morale : 68 | Moyenne d’équipe : N/A
Prochains matchs #637 vs Milwaukee
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Centre de jeu
Manitoba
24-12-3, 51pts
0
FINAL
1 Norfolk
17-20-3, 37pts
Team Stats
SOL1StreakOTL1
11-7-2Home Record8-9-2
13-5-1Away Record9-11-1
3-5-2Last 10 Games4-4-2
1.87Buts par match 1.13
1.54Buts contre par match 1.43
20.67%Pourcentage en avantage numérique18.52%
78.01%Pourcentage en désavantage numérique75.93%
Quad City
19-13-7, 45pts
2
FINAL
1 Manitoba
24-12-3, 51pts
Team Stats
W1StreakSOL1
9-6-4Home Record11-7-2
10-7-3Away Record13-5-1
8-0-2Last 10 Games3-5-2
1.62Buts par match 1.87
1.41Buts contre par match 1.54
23.27%Pourcentage en avantage numérique20.67%
79.04%Pourcentage en désavantage numérique78.01%
Manitoba
24-12-3, 51pts
2024-12-07
Milwaukee
18-15-6, 42pts
Statistiques d’équipe
SOL1SéquenceL3
11-7-2Fiche domicile10-8-2
13-5-1Fiche visiteur8-7-4
3-5-210 derniers matchs4-6-0
1.87Buts par match 1.33
1.54Buts contre par match 1.33
20.67%Pourcentage en avantage numérique19.53%
78.01%Pourcentage en désavantage numérique76.10%
Hamilton
17-17-5, 39pts
2024-12-09
Manitoba
24-12-3, 51pts
Statistiques d’équipe
W7SéquenceSOL1
10-8-2Fiche domicile11-7-2
7-9-3Fiche visiteur13-5-1
9-1-010 derniers matchs3-5-2
1.41Buts par match 1.87
1.77Buts contre par match 1.87
22.73%Pourcentage en avantage numérique20.67%
76.09%Pourcentage en désavantage numérique78.01%
Manitoba
24-12-3, 51pts
2024-12-11
Hersey
15-18-6, 36pts
Statistiques d’équipe
SOL1SéquenceW1
11-7-2Fiche domicile10-7-2
13-5-1Fiche visiteur5-11-4
3-5-210 derniers matchs4-5-1
1.87Buts par match 1.18
1.54Buts contre par match 1.18
20.67%Pourcentage en avantage numérique18.35%
78.01%Pourcentage en désavantage numérique80.54%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
73
1.87 GFG
Tirs pour
490
12.56 Avg
Pourcentage en avantage numérique
20.7%
37 GF
Début de zone offensive
33.5%
Buts contre
60
1.54 GAA
Tirs contre
502
12.87 Avg
Pourcentage en désavantage numérique
78.0%%
31 GA
Début de la zone défensive
30.3%
Informations de l'équipe

Directeur généralFrederic Jannelle
DivisionNord Ouest
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro8
Équipe Mineure23
Limite contact 31 / 250
Espoirs59


Historique d'équipe

Saison actuelle24-12-3 (51PTS)
Historique0-0-0


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
1Jake LeschyshynX100.00696677726664675771525662535454606000242766,667$
2Valtteri Puustinen (R)XX100.00714295786259907431745965254949676000241775,000$
3Jesper FastX100.007644927671639463386458727576806726003122,400,000$
4Cole GuttmanX100.00636291666063777964626869254747696000241950,000$
5Georgi MerkulovX100.00736690756670716650636664634444676000222925,000$
6Daniil Gushchin (R)X100.00675887675878816750656561624444676000212902,500$
7Victor SoderstromX100.00726783786780865625484962474949606000221863,333$
Rayé
1Justin Bailey (R)XHO784596758059836435625869635959654700281775,000$
MOYENNE D’ÉQUIPE100.0071568973666781664661606652535365540
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
MOYENNE D’ÉQUIPE0.000000000000000000
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
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 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
Cole GuttmanManitoba (VAN)C241999-06-04No163 Lbs5 ft10NoNoNo1Pro & Farm950,000$460,606$0$0$NoLien / Lien NHL
Daniil GushchinManitoba (VAN)LW212002-06-02Yes165 Lbs5 ft8NoNoNo2Pro & Farm902,500$437,576$0$0$No902,500$Lien
Georgi MerkulovManitoba (VAN)LW222000-10-10No180 Lbs5 ft11NoNoNo2Pro & Farm925,000$448,485$0$0$No925,000$Lien
Jake LeschyshynManitoba (VAN)C241999-03-10No180 Lbs5 ft11NoNoNo2Pro & Farm766,667$371,717$0$0$No766,667$Lien / Lien NHL
Jesper FastManitoba (VAN)RW311991-12-02No191 Lbs6 ft1NoNoNo2Pro & Farm2,400,000$1,163,636$0$0$No2,400,000$Lien / Lien NHL
Justin BaileyManitoba (VAN)RW281995-07-01Yes213 Lbs6 ft4NoNoNo1Pro & Farm775,000$375,758$0$0$NoLien
Valtteri PuustinenManitoba (VAN)LW/RW241999-06-04Yes178 Lbs5 ft9NoNoNo1Pro & Farm775,000$375,758$0$0$NoLien
Victor SoderstromManitoba (VAN)D222001-02-26No183 Lbs6 ft0NoNoNo1Pro & Farm863,333$418,586$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
824.50182 Lbs5 ft111.501,044,688$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
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
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
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
1Albany11000000312110000003120000000000021.000369003243713896187190501031864125.00%40100.00%025550051.00%22245349.01%25254146.58%1010738901259470241
2Binghamton1010000001-11010000001-10000000000000.00000000324371339618719050175134300.00%40100.00%025550051.00%22245349.01%25254146.58%1010738901259470241
3Bridgeport2010100023-11010000013-21000100010120.5002350132437132796187190502081078700.00%8362.50%025550051.00%22245349.01%25254146.58%1010738901259470241
4Charlotte Checkers10000010211000000000001000001021121.00022400324371379618719050136773133.33%10100.00%025550051.00%22245349.01%25254146.58%1010738901259470241
5Chicago Wolf11000000101000000000001100000010121.0001230132437138961871905013513105120.00%40100.00%025550051.00%22245349.01%25254146.58%1010738901259470241
6Grand Rapids2010010025-31000010012-11010000013-210.25023500324371314961871905028828217300.00%11190.91%025550051.00%22245349.01%25254146.58%1010738901259470241
7Hamilton11000000303110000003030000000000021.000369013243713109618719050934048225.00%000.00%025550051.00%22245349.01%25254146.58%1010738901259470241
8Hartford1010000023-11010000023-10000000000000.000246003243713896187190501344753266.67%6266.67%025550051.00%22245349.01%25254146.58%1010738901259470241
9Hersey1010000012-11010000012-10000000000000.000123003243713596187190501849072150.00%5180.00%025550051.00%22245349.01%25254146.58%1010738901259470241
10Houston30200010712-52020000028-61000001054120.3337121910324371343961871905037101981317423.53%9455.56%025550051.00%22245349.01%25254146.58%1010738901259470241
11Iowa22000000422110000001011100000032141.000481201324371329961871905024131181012325.00%9188.89%025550051.00%22245349.01%25254146.58%1010738901259470241
12Lake Erie21100000220110000002111010000001-120.5002460032437134196187190503513331210110.00%4250.00%025550051.00%22245349.01%25254146.58%1010738901259470241
13Manchester10000010211100000102110000000000021.0002240032437131496187190501431183133.33%3166.67%025550051.00%22245349.01%25254146.58%1010738901259470241
14Milwaukee11000000431110000004310000000000021.00048120032437131896187190501246166233.33%3166.67%025550051.00%22245349.01%25254146.58%1010738901259470241
15Norfolk1000010001-1000000000001000010001-110.50000000324371314961871905053104400.00%000.00%025550051.00%22245349.01%25254146.58%1010738901259470241
16Peroria10001000321000000000001000100032121.0003690032437131396187190501653027114.29%5180.00%025550051.00%22245349.01%25254146.58%1010738901259470241
17Philadelphie21100000321110000002021010000012-120.5003690132437132196187190501863712400.00%11281.82%025550051.00%22245349.01%25254146.58%1010738901259470241
18Portland11000000624000000000001100000062421.000612180032437131496187190501654349444.44%4175.00%025550051.00%22245349.01%25254146.58%1010738901259470241
19Providence10000010211000000000001000001021121.0002130032437131796187190501022319111.11%4175.00%025550051.00%22245349.01%25254146.58%1010738901259470241
20Quad City41100011660200000112202110000044050.625610160132437135496187190506018611617211.76%18383.33%025550051.00%22245349.01%25254146.58%1010738901259470241
21Rochester1010000001-1000000000001010000001-100.00000000324371379618719050175395200.00%20100.00%025550051.00%22245349.01%25254146.58%1010738901259470241
22Rockford Icehogs10001000211000000000001000100021121.0002460032437131496187190501121363133.33%4175.00%025550051.00%22245349.01%25254146.58%1010738901259470241
23Springfield1010000023-11010000023-10000000000000.000246003243713129618719050225847114.29%330.00%025550051.00%22245349.01%25254146.58%1010738901259470241
24Syracuse22000000422110000001011100000032141.00048120132437133496187190502143010700.00%5180.00%025550051.00%22245349.01%25254146.58%1010738901259470241
25Toronto21000010422110000001011000001032141.0004610013243713349618719050215291810220.00%7185.71%025550051.00%22245349.01%25254146.58%1010738901259470241
26Wilkes Barre22000000615110000004131100000020241.00061218013243713219618719050226241414642.86%7185.71%025550051.00%22245349.01%25254146.58%1010738901259470241
Total3915120326173601320970012134313196503140392910510.65473131204193243713490961871905050215513852131793720.67%1413178.01%025550051.00%22245349.01%25254146.58%1010738901259470241
_Since Last GM Reset3915120326173601320970012134313196503140392910510.65473131204193243713490961871905050215513852131793720.67%1413178.01%025550051.00%22245349.01%25254146.58%1010738901259470241
_Vs Conference238702141474431244001211822-411430202029227300.652478513213324371331296187190503271009851221062220.75%842175.00%025550051.00%22245349.01%25254146.58%1010738901259470241

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3951SOL173131204490502155138521319
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
39151232617360
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209701213431
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
196531403929
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1793720.67%1413178.01%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
96187190503243713
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
25550051.00%22245349.01%25254146.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1010738901259470241


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 - 2024-10-0113Houston4Manitoba2BLSommaire du match
4 - 2024-10-0332Manitoba4Quad City3AWSommaire du match
5 - 2024-10-0446Manitoba0Lake Erie1ALSommaire du match
7 - 2024-10-0656Quad City0Manitoba1BWXXSommaire du match
9 - 2024-10-0880Manchester1Manitoba2BWXXSommaire du match
10 - 2024-10-0990Manitoba5Houston4AWXXSommaire du match
12 - 2024-10-11105Manitoba3Iowa2AWSommaire du match
14 - 2024-10-13123Hamilton0Manitoba3BWSommaire du match
16 - 2024-10-15142Manitoba3Peroria2AWXSommaire du match
17 - 2024-10-16153Lake Erie1Manitoba2BWSommaire du match
19 - 2024-10-18169Manitoba0Rochester1ALSommaire du match
20 - 2024-10-19182Hartford3Manitoba2BLSommaire du match
22 - 2024-10-21200Manitoba2Providence1AWXXSommaire du match
23 - 2024-10-22215Albany1Manitoba3BWSommaire du match
25 - 2024-10-24232Toronto0Manitoba1BWSommaire du match
27 - 2024-10-26244Manitoba3Toronto2AWXXSommaire du match
29 - 2024-10-28263Manitoba1Bridgeport0AWXSommaire du match
30 - 2024-10-29275Springfield3Manitoba2BLSommaire du match
32 - 2024-10-31295Manitoba1Chicago Wolf0AWSommaire du match
34 - 2024-11-02307Wilkes Barre1Manitoba4BWSommaire du match
36 - 2024-11-04325Manitoba1Grand Rapids3ALSommaire du match
38 - 2024-11-06343Iowa0Manitoba1BWSommaire du match
40 - 2024-11-08361Grand Rapids2Manitoba1BLXSommaire du match
43 - 2024-11-11386Manitoba2Rockford Icehogs1AWXSommaire du match
44 - 2024-11-12396Milwaukee3Manitoba4BWSommaire du match
46 - 2024-11-14415Manitoba0Quad City1ALSommaire du match
48 - 2024-11-16427Philadelphie0Manitoba2BWSommaire du match
50 - 2024-11-18448Syracuse0Manitoba1BWSommaire du match
52 - 2024-11-20464Manitoba6Portland2AWSommaire du match
53 - 2024-11-21481Binghamton1Manitoba0BLSommaire du match
55 - 2024-11-23495Manitoba3Syracuse2AWSommaire du match
57 - 2024-11-25511Manitoba2Wilkes Barre0AWSommaire du match
58 - 2024-11-26524Hersey2Manitoba1BLSommaire du match
59 - 2024-11-27538Manitoba1Philadelphie2ALSommaire du match
61 - 2024-11-29554Manitoba2Charlotte Checkers1AWXXSommaire du match
62 - 2024-11-30568Houston4Manitoba0BLSommaire du match
64 - 2024-12-02589Bridgeport3Manitoba1BLSommaire du match
66 - 2024-12-04603Manitoba0Norfolk1ALXSommaire du match
67 - 2024-12-05617Quad City2Manitoba1BLXXSommaire du match
69 - 2024-12-07637Manitoba-Milwaukee-
71 - 2024-12-09652Hamilton-Manitoba-
73 - 2024-12-11662Manitoba-Hersey-
75 - 2024-12-13685Norfolk-Manitoba-
76 - 2024-12-14698Manitoba-Albany-
78 - 2024-12-16716Springfield-Manitoba-
79 - 2024-12-17729Manitoba-Springfield-
81 - 2024-12-19746Manitoba-Lake Erie-
82 - 2024-12-20758Manitoba-Hartford-
84 - 2024-12-22770Manchester-Manitoba-
86 - 2024-12-24788Lake Erie-Manitoba-
88 - 2024-12-26808Manitoba-Houston-
89 - 2024-12-27822Providence-Manitoba-
91 - 2024-12-29840Manitoba-Providence-
92 - 2024-12-30851Manitoba-Rochester-
93 - 2024-12-31862Hershey-Manitoba-
95 - 2025-01-02883Charlotte Checkers-Manitoba-
97 - 2025-01-04900Manitoba-Binghamton-
99 - 2025-01-06913Worchester-Manitoba-
102 - 2025-01-09938Lowell-Manitoba-
104 - 2025-01-11960Manitoba-Lowell-
105 - 2025-01-12974Peroria-Manitoba-
107 - 2025-01-14991Manitoba-Hershey-
108 - 2025-01-151003Rochester-Manitoba-
110 - 2025-01-171019Manitoba-Chicago-
112 - 2025-01-191036Chicago-Manitoba-
114 - 2025-01-211058Rochester-Manitoba-
118 - 2025-01-251090Portland-Manitoba-
121 - 2025-01-281117Manitoba-Manchester-
123 - 2025-01-301123Rockford Icehogs-Manitoba-
124 - 2025-01-311131Manitoba-Springfield-
125 - 2025-02-011134Manitoba-Worchester-
129 - 2025-02-051157Chicago Wolf-Manitoba-
130 - 2025-02-061168Manitoba-Worchester-
131 - 2025-02-071179Manitoba-Hamilton-



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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,164,677$ 8,357,500$ 8,357,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 4,164,677$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 64 63,314$ 4,052,096$




Manitoba 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

Manitoba 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 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 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

Manitoba 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