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Manitoba
GP: 72 | W: 39 | L: 29 | OTL: 4 | P: 82
GF: 221 | GA: 222 | PP%: 17.59% | PK%: 81.48%
DG: Michael Tremblay | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #884 vs Texas

Centre de jeu
San Jose
34-27-8, 76pts
3
2 Manitoba
39-29-4, 82pts
Team Stats
W1SéquenceL3
17-14-4Fiche domicile16-17-2
17-13-4Fiche domicile23-12-2
7-2-1Derniers 10 matchs6-4-0
3.41Buts par match 3.07
3.36Buts contre par match 3.08
19.85%Pourcentage en avantage numérique17.59%
79.62%Pourcentage en désavantage numérique81.48%
Texas
34-29-7, 75pts
7
1 Manitoba
39-29-4, 82pts
Team Stats
W1SéquenceL3
19-13-3Fiche domicile16-17-2
15-16-4Fiche domicile23-12-2
5-4-1Derniers 10 matchs6-4-0
3.10Buts par match 3.07
2.76Buts contre par match 3.08
15.99%Pourcentage en avantage numérique17.59%
82.68%Pourcentage en désavantage numérique81.48%
Manitoba
39-29-4, 82pts
Jour 163
Texas
34-29-7, 75pts
Statistiques d’équipe
L3SéquenceW1
16-17-2Fiche domicile19-13-3
23-12-2Fiche visiteur15-16-4
6-4-010 derniers matchs5-4-1
3.07Buts par match 3.10
3.08Buts contre par match 3.10
17.59%Pourcentage en avantage numérique15.99%
81.48%Pourcentage en désavantage numérique82.68%
Manitoba
39-29-4, 82pts
Jour 165
Bakersfield
28-37-7, 63pts
Statistiques d’équipe
L3SéquenceL3
16-17-2Fiche domicile12-19-4
23-12-2Fiche visiteur16-18-3
6-4-010 derniers matchs3-5-2
3.07Buts par match 2.90
3.08Buts contre par match 2.90
17.59%Pourcentage en avantage numérique17.41%
81.48%Pourcentage en désavantage numérique83.19%
Rockford
39-25-6, 84pts
Jour 166
Manitoba
39-29-4, 82pts
Statistiques d’équipe
L1SéquenceL3
22-10-3Fiche domicile16-17-2
17-15-3Fiche visiteur23-12-2
7-2-110 derniers matchs6-4-0
2.83Buts par match 3.07
2.71Buts contre par match 3.07
17.86%Pourcentage en avantage numérique17.59%
81.69%Pourcentage en désavantage numérique81.48%
Meneurs d'équipe
Buts
Austin Czarnik
26
Ethan BearPasses
Ethan Bear
49
Ethan BearPoints
Ethan Bear
66
Plus/Moins
Mathieu Perreault
12
Victoires
Kari Lehtonen
30
Pourcentage d’arrêts
Kari Lehtonen
0.914

Statistiques d’équipe
Buts pour
221
3.07 GFG
Tirs pour
2415
33.54 Avg
Pourcentage en avantage numérique
17.6%
51 GF
Début de zone offensive
40.7%
Buts contre
222
3.08 GAA
Tirs contre
2557
35.51 Avg
Pourcentage en désavantage numérique
81.5%%
45 GA
Début de la zone défensive
41.6%
Informations de l'équipe

Directeur généralMichael Tremblay
EntraîneurDavis Payne
DivisionCentrale
ConférenceConference ouest
CapitaineMark Giordano
Assistant #1Deryk Engelland
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,194
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs34


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
1Anton SlepyshevXX100.00662797768579897075656961775855375000303775,000$
2Andrew CoglianoXXX100.00582496627063956753686864778988165000372500,000$
3Paul CareyXX100.00663087647272856681656457788067245000351500,000$
4Benoit PouliotX100.00592884528263896768666566768479145000371650,000$
5Darren HelmX99.006621866467738867707071698595932250003711,200,000$
6Paul ByronXXX99.006825937456737674577072657978752450003511,400,000$
7Alex ChiassonXX99.00692792659174957274677266786862295000332750,000$
8James NealXX100.00763377557577846970676959788677355000361750,000$
9Mathieu PerreaultXX100.006937855778608171766770716987731850003611,100,000$
10Austin CzarnikXXX99.006426998063808070796874647861533850003121,350,000$
11Cole Sillinger (R)XX100.00804590768481897182757271703635785000213900,000$
12Andrej SekeraX100.00542994527666865732524584699292155000381875,000$
13Cody FransonX100.00663467528172956030575386708077215000361750,000$
14Duncan SiemensX100.00755153678775895653545191766461445000304875,000$
15Deryk Engelland (A)X100.0074385536767091435047439173999915000421950,000$
16Ethan BearX100.00713182917885856154585690815248615000271875,000$
17Mark Giordano (C)X100.007032806080789852705447947699981250004011,475,000$
Rayé
MOYENNE D’ÉQUIPE99.7668328364777388646363627376777229500
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
1Kari Lehtonen100.0059758981748989878773739999105000412975,000$
2Anders Lindback99.0062877883748686888977708281195000361500,000$
Rayé
MOYENNE D’ÉQUIPE99.506181848274888888887572919015500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne83858579929974CAN5521,200,000$


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
1Ethan BearManitoba (WIN)D72174966-142092120193741298.81%103175024.31910191052390000191300%000100.7500000523
2Austin CzarnikManitoba (WIN)C/LW/RW72263763760451102427419210.74%4137619.1291120552420004535250.17%89500000.9200000475
3Cole SillingerManitoba (WIN)C/LW692042621515150157265721987.55%12148121.47214165322600031221150.59%193700000.8425001325
4Duncan SiemensManitoba (WIN)D7210334326551356813444957.46%133152421.187916762390221179000%000000.5600001313
5Cody FransonManitoba (WIN)D72834421240366310237647.84%108153221.282810532390111190100%000000.5500000423
6Anton SlepyshevManitoba (WIN)LW/RW72221840-62805870227631439.69%2117516.32000140000166354.21%10700000.6800000114
7Paul ByronManitoba (WIN)C/LW/RW62152540-926052101197621187.61%8131621.24413173620911291591539.92%124500000.6103000322
8Alex ChiassonManitoba (WIN)LW/RW65191635-734071551775912010.73%8132520.3959144221200011154148.41%12600000.5311000032
9Andrew CoglianoManitoba (WIN)C/LW/RW72122234-7603497164431247.32%7112815.670229780000483142.11%107100000.6000000022
10Mark GiordanoManitoba (WIN)D721024340635795794527210.64%150173824.146511462370000182200%000000.3900010021
11Mathieu PerreaultManitoba (WIN)LW/RW57151429121808344127378611.81%9111719.60437271740000913054.26%25800000.5234000043
12Darren HelmManitoba (WIN)LW5291928-71604053133441056.77%7113121.761672417410141312047.89%26100000.4903000022
13James NealManitoba (WIN)LW/RW72141327-944016434118418511.86%5113415.75235111010000112146.67%10500000.4800000230
14Andrej SekeraManitoba (WIN)D7232124-1100142417417.32%66108815.1200003000068000%000000.4400000000
15Paul CareyManitoba (WIN)C/LW7087154160266665173912.31%35477.83000030001250154.98%67300000.5500000111
16Benoit PouliotManitoba (WIN)LW725813-98043229626555.21%474810.40000050001182039.39%6600000.3500000003
17Deryk EngellandManitoba (WIN)D724913-11112201624340152610.00%89103814.4200057000012000%000000.2500211011
Statistiques d’équipe totales ou en moyenne1167217391608-505593512711202241576716928.99%7182115618.1351931445432401246251620351547.54%674400100.57616223263540
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
1Kari LehtonenManitoba (WIN)57302240.9143.0233036016619310100.75085616551
2Anders LindbackManitoba (WIN)209700.9123.14105020556260000.85771656210
Statistiques d’équipe totales ou en moyenne77392940.9143.054353802212557010157272761


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alex ChiassonManitoba (WIN)LW/RW331990-10-01CANNo211 Lbs6 ft4NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm750,000$126,923$0$0$No750,000$--------750,000$--------No--------Lien
Anders LindbackManitoba (WIN)G361988-05-03SWENo219 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Andrej SekeraManitoba (WIN)D381986-06-08SLONo218 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------
Andrew CoglianoManitoba (WIN)C/LW/RW371987-06-14CANNo186 Lbs5 ft10NoNoFree AgentNoNo22025-10-30FalseFalsePro & Farm500,000$84,615$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Anton SlepyshevManitoba (WIN)LW/RW301994-05-13RUSNo224 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$131,154$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Austin CzarnikManitoba (WIN)C/LW/RW311992-12-12USANo164 Lbs5 ft9NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm1,350,000$228,462$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Benoit PouliotManitoba (WIN)LW371986-09-29CANNo204 Lbs6 ft3NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm650,000$110,000$0$0$No---------------------------Lien
Cody FransonManitoba (WIN)D361987-08-08CANNo223 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$126,923$0$0$No---------------------------Lien
Cole SillingerManitoba (WIN)C/LW212003-05-16USAYes201 Lbs6 ft1NoNoProspectNoNo32025-10-15FalseFalsePro & Farm900,000$152,308$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Darren HelmManitoba (WIN)LW371987-01-21CANNo188 Lbs5 ft11NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,200,000$203,077$0$0$No---------------------------
Deryk EngellandManitoba (WIN)D421982-04-03CANNo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$160,769$0$0$No---------------------------Lien
Duncan SiemensManitoba (WIN)D301993-09-07CANNo216 Lbs6 ft3NoNoN/ANoNo42025-09-11FalseFalsePro & Farm875,000$148,077$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien
Ethan BearManitoba (WIN)D271997-06-26CANNo197 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------Lien / Lien NHL
James NealManitoba (WIN)LW/RW361987-09-03CANNo226 Lbs6 ft2NoNoFree AgentNoNo12024-09-21FalseFalsePro & Farm750,000$126,923$0$0$No---------------------------Lien
Kari LehtonenManitoba (WIN)G411983-01-10FINNo212 Lbs6 ft4NoNoFree AgentNoNo22025-09-24FalseFalsePro & Farm975,000$165,000$0$0$No975,000$--------975,000$--------No--------
Mark GiordanoManitoba (WIN)D401983-10-03CANNo205 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm1,475,000$249,615$0$0$No---------------------------Lien / Lien NHL
Mathieu PerreaultManitoba (WIN)LW/RW361988-01-21CANNo197 Lbs5 ft10NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,100,000$186,154$0$0$No---------------------------Lien
Paul ByronManitoba (WIN)C/LW/RW351989-04-27CANNo156 Lbs5 ft7NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,400,000$236,923$0$0$No---------------------------Lien
Paul CareyManitoba (WIN)C/LW351988-09-24USANo203 Lbs6 ft1NoNoFree AgentNoNo12025-10-30FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1934.63203 Lbs6 ft11.58902,632$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul ByronCole SillingerJames Neal34005
2Darren HelmAustin CzarnikAlex Chiasson33005
3Anton SlepyshevAndrew CoglianoBenoit Pouliot33122
4Benoit PouliotPaul CareyCole Sillinger0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear35122
2Duncan SiemensCody Franson30122
3Deryk EngellandAndrej Sekera25122
4Mark GiordanoEthan Bear10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul ByronCole SillingerAlex Chiasson50005
2Darren HelmAustin CzarnikJames Neal50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50005
2Duncan SiemensCody Franson50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin CzarnikPaul Byron50050
2Darren HelmPaul Carey50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50140
2Duncan SiemensCody Franson50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Czarnik50140Mark GiordanoEthan Bear50140
2Paul Byron50140Duncan SiemensCody Franson50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerPaul Byron50122
2Darren HelmPaul Carey50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50122
2Duncan SiemensCody Franson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul ByronCole SillingerAlex ChiassonMark GiordanoEthan Bear
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul ByronCole SillingerAlex ChiassonMark GiordanoEthan Bear
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Cogliano, Anton Slepyshev, Paul CareyAndrew Cogliano, Anton SlepyshevPaul Carey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Deryk Engelland, Andrej Sekera, Duncan SiemensDeryk EngellandAndrej Sekera, Duncan Siemens
Tirs de pénalité
Cole Sillinger, Paul Byron, Darren Helm, Alex Chiasson, Austin Czarnik
Gardien
#1 : Kari Lehtonen, #2 : Anders Lindback
Lignes d’attaque personnalisées en prolongation
Cole Sillinger, Paul Byron, Darren Helm, Alex Chiasson, Austin Czarnik, James Neal, Andrew Cogliano, Anton Slepyshev, Benoit Pouliot, Paul Carey
Lignes de défense personnalisées en prolongation
Mark Giordano, Ethan Bear, Duncan Siemens, Cody Franson, Deryk Engelland


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
1Abbotsford43000010181082100001010732200000083581.0001829470087586991248377897703512242405113430.77%19194.74%01291274747.00%1346280647.97%580119248.66%168411321716556956478
2Bakersfield32100000911-22110000047-31100000054140.667917260087586991148377897703510834315318527.78%12375.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
3Bridgeport22000000734110000004221100000031241.000712190087586996983778977035712010395120.00%50100.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
4Charlotte21100000811-3110000005411010000037-420.50081523008758699688377897703567201138600.00%3166.67%01291274747.00%1346280647.97%580119248.66%168411321716556956478
5Cleveland31100100912-31000010034-12110000068-230.5009162500875869989837789770351173429531218.33%12375.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
6Coachella Valley2110000035-2000000000002110000035-220.500358008758699648377897703564166366116.67%30100.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
7Eagles4310000014104211000007702200000073460.7501425390087586991178377897703515247346918316.67%15473.33%01291274747.00%1346280647.97%580119248.66%168411321716556956478
8Grand Rapids1010000035-2000000000001010000035-200.00036900875869928837789770353492157114.29%110.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
9Hartford31200000912-320200000610-41100000032120.33391726008758699888377897703510143264216318.75%12375.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
10Hershey211000008711010000045-11100000042220.5008162400875869970837789770356723132712216.67%40100.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
11Iowa44000000198113300000015691100000042281.0001936550087586991518377897703513039377615640.00%15380.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
12Laval2010001067-11010000035-21000001032120.500671300875869968837789770356991735500.00%5180.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
13Lehigh Valley211000006601010000034-11100000032120.50061218008758699958377897703570171038900.00%4175.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
14Ontario31200000410-61010000023-12110000027-520.333471100875869979837789770351002419581119.09%7185.71%01291274747.00%1346280647.97%580119248.66%168411321716556956478
15Providence311001001112-1211000008801000010034-130.500111930008758699106837789770351012228581417.14%11645.45%01291274747.00%1346280647.97%580119248.66%168411321716556956478
16Rochester310011001183200011007701100000041350.8331121320087586991108377897703513128324910440.00%13192.31%11291274747.00%1346280647.97%580119248.66%168411321716556956478
17Rockford4110101013112211000006602000101075260.7501320330087586991428377897703512638348126623.08%15473.33%01291274747.00%1346280647.97%580119248.66%168411321716556956478
18San Diego31200000710-32020000038-51100000042220.3337111800875869979837789770351183122584250.00%11281.82%01291274747.00%1346280647.97%580119248.66%168411321716556956478
19San Jose3030000069-31010000023-12020000046-200.00061218008758699103837789770351373334551218.33%17288.24%01291274747.00%1346280647.97%580119248.66%168411321716556956478
20Springfield412000101215-32110000068-22010001067-140.5001220320087586991328377897703516239227019421.05%11281.82%01291274747.00%1346280647.97%580119248.66%168411321716556956478
21Syracuse3030000016-52020000003-31010000013-200.0001230087586999883778977035114392456800.00%120100.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
22Texas623010001319-62110000049-541201000910-160.50013233600875869916783778977035213613810919210.53%16287.50%01291274747.00%1346280647.97%580119248.66%168411321716556956478
23Utica 421000011713411000000725311000011011-150.6251732490087586991728377897703513131306514214.29%13469.23%11291274747.00%1346280647.97%580119248.66%168411321716556956478
24Wilkes-Barre/Scranton22000000725110000005141100000021141.000711180087586998283778977035521918401119.09%70100.00%01291274747.00%1346280647.97%580119248.66%168411321716556956478
Total72322903341221222-135141701210114119-5371812021311071034820.569221391612008758699241583778977035255771856712712905117.59%2434581.48%21291274747.00%1346280647.97%580119248.66%168411321716556956478
_Since Last GM Reset72322903341221222-135141701210114119-5371812021311071034820.569221391612008758699241583778977035255771856712712905117.59%2434581.48%21291274747.00%1346280647.97%580119248.66%168411321716556956478
_Vs Conference4019160203011811801999000105964-5211070202059545480.60011820532300875869912728377897703514324043177161613521.74%1412482.98%01291274747.00%1346280647.97%580119248.66%168411321716556956478
_Vs Division2211702020716381174000003836211430202033276300.6827112419500875869970983778977035783224165405972121.65%721579.17%01291274747.00%1346280647.97%580119248.66%168411321716556956478

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7282L322139161224152557718567127100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7232293341221222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3514171210114119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3718122131107103
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2905117.59%2434581.48%2
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
837789770358758699
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
1291274747.00%1346280647.97%580119248.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168411321716556956478


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
11Rockford1Manitoba3WSommaire du match
29Manitoba2Texas3LSommaire du match
831Manitoba4Texas3WXSommaire du match
1042Manitoba5Bakersfield4WSommaire du match
1248Iowa2Manitoba5WSommaire du match
1565Bakersfield2Manitoba3WSommaire du match
1673Manitoba2Utica 4LSommaire du match
1983Manitoba1Texas3LSommaire du match
2195Hartford5Manitoba4LSommaire du match
25115San Diego3Manitoba1LSommaire du match
27128Manitoba4Abbotsford2WSommaire du match
30140Manitoba4Utica 5LXXSommaire du match
31146Providence4Manitoba6WSommaire du match
34163Manitoba4San Diego2WSommaire du match
36171Springfield3Manitoba4WSommaire du match
38185Manitoba2Coachella Valley1WSommaire du match
40194Manitoba3San Jose4LSommaire du match
41201Abbotsford3Manitoba4WXXSommaire du match
44220Syracuse2Manitoba0LSommaire du match
49240Wilkes-Barre/Scranton1Manitoba5WSommaire du match
51252Manitoba4Utica 2WSommaire du match
53263Manitoba3Laval2WXXSommaire du match
55269Cleveland4Manitoba3LXSommaire du match
57283Manitoba1Syracuse3LSommaire du match
59292Laval5Manitoba3LSommaire du match
61304Manitoba5Cleveland4WSommaire du match
63315Charlotte4Manitoba5WSommaire du match
67334Manitoba2Wilkes-Barre/Scranton1WSommaire du match
69343Abbotsford4Manitoba6WSommaire du match
72360Manitoba1Springfield3LSommaire du match
73369Bakersfield5Manitoba1LSommaire du match
76384Manitoba4Hershey2WSommaire du match
77393Rochester3Manitoba4WXSommaire du match
80410Manitoba3Grand Rapids5LSommaire du match
82420Utica 2Manitoba7WSommaire du match
84438Rochester4Manitoba3LXSommaire du match
85445Manitoba3Hartford2WSommaire du match
87456Manitoba3Eagles2WSommaire du match
90469Lehigh Valley4Manitoba3LSommaire du match
93488Manitoba3Providence4LXSommaire du match
95494Ontario3Manitoba2LSommaire du match
98508Manitoba1Cleveland4LSommaire du match
100518Iowa1Manitoba5WSommaire du match
102529Manitoba4Rochester1WSommaire du match
104543Eagles4Manitoba2LSommaire du match
106552Manitoba3Lehigh Valley2WSommaire du match
108568Hershey5Manitoba4LSommaire du match
110580Manitoba4Eagles1WSommaire du match
111589Manitoba2Ontario1WSommaire du match
113599Syracuse1Manitoba0LSommaire du match
115610Manitoba1San Jose2LSommaire du match
117621Rockford5Manitoba3LSommaire du match
120635Manitoba3Bridgeport1WSommaire du match
121645Providence4Manitoba2LSommaire du match
124663Manitoba0Ontario6LSommaire du match
126669San Diego5Manitoba2LSommaire du match
128683Manitoba5Springfield4WXXSommaire du match
131694Springfield5Manitoba2LSommaire du match
133711Manitoba2Rockford1WXXSommaire du match
135717Manitoba2Texas1WSommaire du match
136724Hartford5Manitoba2LSommaire du match
139744Manitoba4Abbotsford1WSommaire du match
140751Iowa3Manitoba5WSommaire du match
142768Manitoba4Iowa2WSommaire du match
144776Bridgeport2Manitoba4WSommaire du match
147789Manitoba5Rockford4WXSommaire du match
148797Eagles3Manitoba5WSommaire du match
152819Manitoba1Coachella Valley4LSommaire du match
153823Texas2Manitoba3WSommaire du match
156839Manitoba3Charlotte7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157848San Jose3Manitoba2LSommaire du match
161871Texas7Manitoba1LSommaire du match
163884Manitoba-Texas-
165893Manitoba-Bakersfield-
166899Rockford-Manitoba-
171921Ontario-Manitoba-
175943Coachella Valley-Manitoba-
177948Manitoba-Iowa-
181968San Jose-Manitoba-
187988Grand Rapids-Manitoba-
1911008Coachella Valley-Manitoba-
1931020Manitoba-San Diego-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance51,61925,182
Assistance PCT73.74%71.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2194 - 73.14% 128,690$4,504,155$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,421,738$ 1,715,000$ 1,715,000$ 1,200,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,795$ 1,424,790$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
772,141$ 33 14,949$ 493,317$




Manitoba 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 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 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 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