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Connexion

Manitoba
GP: 82 | W: 47 | L: 24 | OTL: 11 | P: 105
GF: 289 | GA: 255 | PP%: 22.19% | PK%: 83.69%
DG: Michael Tremblay | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Lehigh Valley
39-34-9, 87pts
4
FINAL
3 Manitoba
47-24-11, 105pts
Team Stats
W1SéquenceW1
21-15-5Fiche domicile29-6-6
18-19-4Fiche domicile18-18-5
3-5-2Derniers 10 matchs3-5-2
3.21Buts par match 3.52
3.28Buts contre par match 3.11
17.07%Pourcentage en avantage numérique22.19%
82.78%Pourcentage en désavantage numérique83.69%
Manitoba
47-24-11, 105pts
2
FINAL
1 Bakersfield
39-35-8, 86pts
Team Stats
W1SéquenceOTL1
29-6-6Fiche domicile17-20-4
18-18-5Fiche domicile22-15-4
3-5-2Derniers 10 matchs5-4-1
3.52Buts par match 3.20
3.11Buts contre par match 3.35
22.19%Pourcentage en avantage numérique19.61%
83.69%Pourcentage en désavantage numérique82.72%
Meneurs d'équipe
Emil BemstromButs
Emil Bemstrom
41
Ethan BearPasses
Ethan Bear
58
Emil BemstromPoints
Emil Bemstrom
78
Plus/Moins
Duncan Siemens
17
Victoires
Kari Lehtonen
32
Pourcentage d’arrêts
Kari Lehtonen
0.915

Statistiques d’équipe
Buts pour
289
3.52 GFG
Tirs pour
2977
36.30 Avg
Pourcentage en avantage numérique
22.2%
75 GF
Début de zone offensive
40.7%
Buts contre
255
3.11 GAA
Tirs contre
2955
36.04 Avg
Pourcentage en désavantage numérique
83.7%%
54 GA
Début de la zone défensive
42.1%
Informations de l'équipe

Directeur généralMichael Tremblay
EntraîneurDavis Payne
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,254
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 50
Espoirs41


Historique d'équipe

Saison actuelle47-24-11 (105PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Anton SlepyshevXX100.00662997788581897075656963775555405000291875,000$
2Pat MaroonX100.00744271609572926868677055777773235000351625,000$
3Benoit PouliotX100.00612884578266897069706868778077155000362650,000$
4Darren HelmX100.006621896970768867706971708594942350003621,200,000$
5Paul ByronXXX98.006826967657767674606972677976742650003421,400,000$
6Alex ChiassonXX100.00692794679376957274677168786459325000323750,000$
7Jamie McGinnXX100.00603496567676926962656962777065275000341500,000$
8Dale WeiseXX100.00643787567861836765636962756654265000341785,000$
9James NealXX100.00773380607579837170696961788473385000352750,000$
10Mathieu PerreaultXX98.007138906278638172766773726985731950003521,100,000$
11Emil Bemstrom (R)X99.00663298838478997773767864804544595000241500,000$
12Kevin StenlundXX99.007132897193759870907072777854495050002621,100,000$
13Andrej SekeraX100.00553193577769866032554886718988165000372875,000$
14Johnny BoychukX100.0070346946767085475045468671919915000391650,000$
15Cody FransonX100.00693566578375955830555186707676235000352750,000$
16Duncan SiemensX100.00755556698876895553544990766157485000291875,000$
17Anton BelovX100.00612685417961864050384484557067195000361525,000$
18Deryk EngellandX100.0076385940797391455049459274999915000412950,000$
19Ethan BearX98.00732985907684845753555289794948635000262875,000$
Rayé
1Paul CareyXX100.00683086677475856882686558787664265000341525,000$
MOYENNE D’ÉQUIPE99.6068338463807388646362637375736929500
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 Lehtonen100.0061758681748890888875739999115000401500,000$
2Anders Lindback99.0063878083768888888877708079195000352500,000$
Rayé
MOYENNE D’ÉQUIPE99.506281838275888988887672908915500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne83858579929974CAN5431,200,000$


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
1Emil BemstromManitoba (WIN)RW684137781620061972706920915.19%7149221.95912215621710162317346.77%44900121.0505000774
2Ethan BearManitoba (WIN)D78145872144956398176631287.95%152182923.46525301032600002247120%000100.7900001134
3Paul ByronManitoba (WIN)C/LW/RW78254469224075174296731888.45%9154919.86916256325100081292041.90%192600000.8902000512
4Cody FransonManitoba (WIN)D82184563123957360145338512.41%126177721.6871522712730002260400%000010.7100100433
5Alex ChiassonManitoba (WIN)LW/RW82273562526010978280862169.64%16150518.36101525602800000433149.01%15100010.8200000373
6Darren HelmManitoba (WIN)LW74283058436086902346416011.97%14157821.3389175625600072155245.54%33600000.7303000227
7Kevin StenlundManitoba (WIN)C/RW5619365515200761161875713110.16%13116920.8976133917201131625353.09%160300010.9405000352
8Duncan SiemensManitoba (WIN)D8112425417121151447314944968.05%135185022.8441115702640003231100%000100.5800021342
9Mathieu PerreaultManitoba (WIN)LW/RW66183452145410104811744214610.34%9140821.3448122920801141904148.49%33200000.7424002321
10Paul CareyManitoba (WIN)C/LW80153146822092139179421248.38%5128816.1126820133000042154.17%175000010.7100000132
11James NealManitoba (WIN)LW/RW82161935-1641012177194531458.25%4115214.0523517700001212151.49%13400010.6100020103
12Benoit PouliotManitoba (WIN)LW8216183431203073183461278.74%9110913.530118341012771245.09%22400000.6111000130
13Deryk EngellandManitoba (WIN)D8210233311119151235298437010.20%136170720.824610402720001224300%000000.3900111013
14Andrej SekeraManitoba (WIN)D8232730-128010535921395.08%85120814.74112425011036100%000000.5000000000
15Anton SlepyshevManitoba (WIN)LW/RW82131023-71402965133401129.77%97248.83101313000072136.73%4900000.6300000212
16Johnny BoychukManitoba (WIN)D8231316-1011810111536910314.35%84121514.8200005000096000%000000.2600110002
17Pat MaroonManitoba (WIN)LW824812-13615101399215564.35%37929.6700002000080047.33%58100000.3000100010
18Jamie McGinnManitoba (WIN)LW/RW67358-6004133110299.68%02714.0602216000060043.56%16300000.5900000010
19Dale WeiseManitoba (WIN)LW/RW81202040651561213.33%01331.6520227000062044.74%7600000.3000000000
20Anton BelovManitoba (WIN)D54011260259260%252524.6800014000029000%000000.0800000000
21Timothy LiljegrenWinnipegD1000-200224030%02727.750003700000000%00000000000000
Statistiques d’équipe totales ou en moyenne1522287516803728177514221443297781921139.64%8412404515.80751362116462771235392230451748.52%777400370.67320465364440
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)593216100.9153.10350210118121280100.722185824843
2Anders LindbackManitoba (WIN)2615810.9152.8514750170827000002457401
Statistiques d’équipe totales ou en moyenne854724110.9153.03497810225129550101882811244


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 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/RW321990-10-01CANNo211 Lbs6 ft4NoNoFree AgentNoNo32024-09-28FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Anders LindbackManitoba (WIN)G351988-05-03SWENo219 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Andrej SekeraManitoba (WIN)D371986-06-08SLONo218 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------
Anton BelovManitoba (WIN)D361986-07-29RUSNo223 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm525,000$0$0$No---------------------------Lien
Anton SlepyshevManitoba (WIN)LW/RW291994-05-13RUSNo224 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Benoit PouliotManitoba (WIN)LW361986-09-29CANNo204 Lbs6 ft3NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Cody FransonManitoba (WIN)D351987-08-08CANNo223 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Dale WeiseManitoba (WIN)LW/RW341988-08-05CANNo218 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm785,000$0$0$No---------------------------Lien
Darren HelmManitoba (WIN)LW361987-01-21CANNo188 Lbs5 ft11NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------
Deryk EngellandManitoba (WIN)D411982-04-03CANNo214 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Duncan SiemensManitoba (WIN)D291993-09-07CANNo216 Lbs6 ft3NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Emil BemstromManitoba (WIN)RW241999-06-01SWEYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien NHL
Ethan BearManitoba (WIN)D261997-06-26CANNo197 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
James NealManitoba (WIN)LW/RW351987-09-03CANNo226 Lbs6 ft2NoNoFree AgentNoNo22024-09-21FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jamie McGinnManitoba (WIN)LW/RW341988-08-05CANNo215 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Johnny BoychukManitoba (WIN)D391984-01-19CANNo228 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Kari LehtonenManitoba (WIN)G401983-01-10FINNo212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Kevin StenlundManitoba (WIN)C/RW261996-09-20SWENo215 Lbs6 ft5NoNoN/ANoNo22024-09-15FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien NHL
Mathieu PerreaultManitoba (WIN)LW/RW351988-01-21CANNo197 Lbs5 ft10NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Pat MaroonManitoba (WIN)LW351988-04-23USANo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm625,000$0$0$No---------------------------Lien / Lien NHL
Paul ByronManitoba (WIN)C/LW/RW341989-04-27CANNo156 Lbs5 ft7NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm1,400,000$0$0$No1,400,000$--------1,400,000$--------No--------Lien
Paul CareyManitoba (WIN)C/LW341988-09-24USANo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm525,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2233.73210 Lbs6 ft21.59784,545$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu PerreaultKevin StenlundEmil Bemstrom33122
2Darren HelmPaul ByronAlex Chiasson32122
3Benoit PouliotPat MaroonJames Neal25122
4Pat MaroonBenoit PouliotAnton Slepyshev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearDuncan Siemens35122
2Deryk EngellandCody Franson30122
3Andrej SekeraJohnny Boychuk25122
4Anton BelovEthan Bear10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu PerreaultKevin StenlundEmil Bemstrom50122
2Darren HelmPaul ByronAlex Chiasson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearDuncan Siemens50122
2Deryk EngellandCody Franson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromKevin Stenlund50122
2Mathieu PerreaultPaul Byron50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearDuncan Siemens50122
2Deryk EngellandCody Franson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Bemstrom50122Ethan BearDuncan Siemens50122
2Kevin Stenlund50122Deryk EngellandCody Franson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromKevin Stenlund50122
2Mathieu PerreaultPaul Byron50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearDuncan Siemens50122
2Deryk EngellandCody Franson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu PerreaultKevin StenlundEmil BemstromEthan BearDuncan Siemens
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu PerreaultKevin StenlundEmil BemstromEthan BearDuncan Siemens
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie McGinn, Dale Weise, Benoit PouliotJamie McGinn, Dale WeiseBenoit Pouliot
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrej Sekera, Johnny Boychuk, Anton BelovAndrej SekeraJohnny Boychuk, Anton Belov
Tirs de pénalité
Emil Bemstrom, Kevin Stenlund, Mathieu Perreault, Paul Byron, Darren Helm
Gardien
#1 : Kari Lehtonen, #2 : Anders Lindback
Lignes d’attaque personnalisées en prolongation
Emil Bemstrom, Kevin Stenlund, Mathieu Perreault, Paul Byron, Darren Helm, Alex Chiasson, Benoit Pouliot, James Neal, Pat Maroon, Anton Slepyshev
Lignes de défense personnalisées en prolongation
Ethan Bear, Duncan Siemens, Deryk Engelland, Cody Franson, Andrej Sekera


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
1Abbotsford42002000181172200000083520002000108281.000183351001109576914593110359745715738397515320.00%17288.24%11540315648.80%1589326248.71%651133048.95%1957132019426351087541
2Bakersfield4110110013121210001007612010100066050.625132235001109576914093110359745714343388016318.75%19384.21%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
3Bridgeport311001001011-11100000031220100100710-330.50010182800110957699193110359745712527404814535.71%19194.74%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
4Charlotte321000001293220000008441010000045-140.667122234001109576910593110359745711927323911654.55%15286.67%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
5Cleveland321000001394211000008711100000052340.66713253800110957691069311035974579323144717635.29%5180.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
6Coachella Valley431000001192220000008442110000035-260.750112132001109576911993110359745714733395518316.67%15193.33%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
7Eagles42100100990210001005502110000044050.6259162501110957691429311035974571223946671000.00%100100.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
8Grand Rapids312000001011-1211000009901010000012-120.33310152500110957691209311035974571144028559111.11%13469.23%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
9Hartford320000101511411000000211210000101310361.0001526410011095769999311035974571183944608450.00%21385.71%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
10Hershey31100001813-51010000005-52100000188030.500816240011095769949311035974571223432498225.00%15193.33%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
11Iowa5310010026179220000001138311001001514170.700265076001109576920493110359745714943386116425.00%19384.21%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
12Laval30200100712-51000010045-12020000037-410.16771219001109576911793110359745711324245913215.38%11463.64%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
13Lehigh Valley420010011612431001001111011100000052370.875162743001109576916693110359745713338427313215.38%18288.89%11540315648.80%1589326248.71%651133048.95%1957132019426351087541
14Ontario40301000917-82010100067-120200000310-720.25091524001109576913093110359745713640226419315.79%10550.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
15Providence33000000734220000004131100000032161.00071320011109576993931103597457943248621616.25%13192.31%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
16Rochester311001009901000010023-12110000076130.50091625001109576911393110359745713432376010330.00%11281.82%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
17Rockford411000111011-1210000108532010000126-450.625101626001109576914993110359745715246347924312.50%15473.33%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
18San Diego412000011416-2211000008802010000168-230.375142337001109576914693110359745713638458020210.00%13561.54%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
19San Jose4220000015150211000008802110000077040.500152641001109576916293110359745714852407426623.08%10370.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
20Springfield440000002213922000000118322000000115681.000223961001109576916993110359745712237326717635.29%14378.57%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
21Syracuse330000001349220000008351100000051461.00013243700110957691279311035974571202532609333.33%150100.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
22Texas4210010014122210001007432110000078-150.625142640001109576913393110359745716152477117423.53%20290.00%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
23Wilkes-Barre/Scranton3020100089-1100010004312020000046-220.3338152300110957691079311035974579739343712325.00%13284.62%01540315648.80%1589326248.71%651133048.95%1957132019426351087541
Total823924067242892553441256035111501133741141803213139142-31050.64028951680502110957692977931103597457295584182714223387522.19%3315483.69%21540315648.80%1589326248.71%651133048.95%1957132019426351087541
_Since Last GM Reset823924067242892553441256035111501133741141803213139142-31050.64028951680502110957692977931103597457295584182714223387522.19%3315483.69%21540315648.80%1589326248.71%651133048.95%1957132019426351087541
_Vs Conference4521130441216114219221430131087612623710031027481-7580.6441612874480111095769163993110359745715734614207731983718.69%1623180.86%11540315648.80%1589326248.71%651133048.95%1957132019426351087541
_Vs Division211240031181621910700021042251711540010139372300.714811472280111095769797931103597457706217197345841720.24%781284.62%01540315648.80%1589326248.71%651133048.95%1957132019426351087541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82105W128951680529772955841827142202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239246724289255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412563511150113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114183213139142
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
3387522.19%3315483.69%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
93110359745711095769
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
1540315648.80%1589326248.71%651133048.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1957132019426351087541


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
25Lehigh Valley3Manitoba4WXSommaire du match
626Providence1Manitoba3WSommaire du match
945Manitoba4Springfield3WSommaire du match
1050Manitoba3Iowa4LXSommaire du match
1260Abbotsford1Manitoba5WSommaire du match
1574San Diego3Manitoba4WSommaire du match
1786Manitoba2San Jose3LSommaire du match
1994Manitoba5Hershey4WSommaire du match
21105Syracuse1Manitoba5WSommaire du match
24124Iowa1Manitoba4WSommaire du match
29147Cleveland5Manitoba4LSommaire du match
31161Manitoba5Abbotsford4WXSommaire du match
33170Ontario5Manitoba6WXSommaire du match
35182Manitoba1Rochester3LSommaire du match
37191Manitoba2Laval3LSommaire du match
38198Wilkes-Barre/Scranton3Manitoba4WXSommaire du match
41218Iowa2Manitoba7WSommaire du match
43230Manitoba4Texas1WSommaire du match
45240Manitoba7Springfield2WSommaire du match
46246Rochester3Manitoba2LXSommaire du match
50261Manitoba1Grand Rapids2LSommaire du match
51271Ontario2Manitoba0LSommaire du match
54285Manitoba2Eagles4LSommaire du match
55295Cleveland2Manitoba4WSommaire du match
58313Manitoba3Hershey4LXXSommaire du match
59319Coachella Valley3Manitoba5WSommaire du match
62337Providence0Manitoba1WSommaire du match
64346Manitoba3Texas7LSommaire du match
66361Rockford4Manitoba5WXXSommaire du match
71383Hershey5Manitoba0LSommaire du match
73390Manitoba5Syracuse1WSommaire du match
75402Manitoba5Cleveland2WSommaire du match
77409Rockford1Manitoba3WSommaire du match
81427Manitoba2Eagles0WSommaire du match
82435Texas1Manitoba5WSommaire du match
86456Texas3Manitoba2LXSommaire du match
88467Manitoba2San Diego3LSommaire du match
91479Manitoba4Charlotte5LSommaire du match
92486San Jose5Manitoba4LSommaire du match
95505Hartford1Manitoba2WSommaire du match
97515Manitoba4San Diego5LXXSommaire du match
99528Manitoba5Abbotsford4WXSommaire du match
100532Springfield4Manitoba5WSommaire du match
104553Bakersfield3Manitoba2LXSommaire du match
106559Manitoba5Bridgeport7LSommaire du match
110577Bridgeport1Manitoba3WSommaire du match
112590Manitoba2Bridgeport3LXSommaire du match
115601Charlotte2Manitoba4WSommaire du match
117608Manitoba3Providence2WSommaire du match
121625Abbotsford2Manitoba3WSommaire du match
124641Manitoba1Coachella Valley4LSommaire du match
126649San Diego5Manitoba4LSommaire du match
129666Manitoba8Iowa3WSommaire du match
130673Coachella Valley1Manitoba3WSommaire du match
132683Manitoba2Coachella Valley1WSommaire du match
134696Manitoba1Laval4LSommaire du match
136706Eagles3Manitoba2LXSommaire du match
139722Charlotte2Manitoba4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
141736Manitoba6Rochester3WSommaire du match
143746Syracuse2Manitoba3WSommaire du match
146760Manitoba1Ontario5LSommaire du match
147769Manitoba4Bakersfield5LSommaire du match
149776Eagles2Manitoba3WSommaire du match
152795San Jose3Manitoba4WSommaire du match
155809Manitoba1Rockford2LXXSommaire du match
156819Bakersfield3Manitoba5WSommaire du match
158830Manitoba5San Jose4WSommaire du match
161841Springfield4Manitoba6WSommaire du match
162846Manitoba9Hartford8WXXSommaire du match
165865Lehigh Valley3Manitoba4WSommaire du match
167875Manitoba3Wilkes-Barre/Scranton4LSommaire du match
169881Manitoba4Hartford2WSommaire du match
171890Laval5Manitoba4LXSommaire du match
172900Manitoba4Iowa7LSommaire du match
175912Manitoba1Rockford4LSommaire du match
176918Grand Rapids6Manitoba8WSommaire du match
178927Manitoba1Wilkes-Barre/Scranton2LSommaire du match
179934Manitoba2Ontario5LSommaire du match
182945Grand Rapids3Manitoba1LSommaire du match
186961Manitoba5Lehigh Valley2WSommaire du match
191973Lehigh Valley4Manitoba3LXXSommaire du match
192982Manitoba2Bakersfield1WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,01030,409
Assistance PCT75.62%74.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2254 - 75.14% 132,128$5,417,238$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,891,237$ 1,726,000$ 1,726,000$ 1,200,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,897$ 1,691,320$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,082$ 0$




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