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Manitoba
GP: 82 | W: 41 | L: 36 | OTL: 5 | P: 87
GF: 324 | GA: 307 | PP%: 25.78% | PK%: 82.91%
DG: Michael Tremblay | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Syracuse
48-31-3, 99pts
2
FINAL
3 Manitoba
41-36-5, 87pts
Team Stats
W1SéquenceL1
25-16-0Fiche domicile27-12-2
23-15-3Fiche domicile14-24-3
5-4-1Derniers 10 matchs6-4-0
4.22Buts par match 3.95
4.01Buts contre par match 3.74
23.12%Pourcentage en avantage numérique25.78%
79.05%Pourcentage en désavantage numérique82.91%
Manitoba
41-36-5, 87pts
2
FINAL
4 Charlotte
55-22-5, 115pts
Team Stats
L1SéquenceW2
27-12-2Fiche domicile28-10-3
14-24-3Fiche domicile27-12-2
6-4-0Derniers 10 matchs6-4-0
3.95Buts par match 4.77
3.74Buts contre par match 3.49
25.78%Pourcentage en avantage numérique25.60%
82.91%Pourcentage en désavantage numérique81.95%
Meneurs d'équipe
Buts
Emil Bemstrom
34
Passes
Emil Bemstrom
52
Points
Emil Bemstrom
86
Plus/Moins
Jamie McGinn
22
Victoires
Kari Lehtonen
21
Pourcentage d’arrêts
Kari Lehtonen
0.921

Statistiques d’équipe
Buts pour
324
3.95 GFG
Tirs pour
3605
43.96 Avg
Pourcentage en avantage numérique
25.8%
83 GF
Début de zone offensive
40.2%
Buts contre
307
3.74 GAA
Tirs contre
3821
46.60 Avg
Pourcentage en désavantage numérique
82.9%%
67 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralMichael Tremblay
EntraîneurJohn Torchetti
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,270
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure22
Limite contact 40 / 50
Espoirs35


Historique d'équipe

Saison actuelle41-36-5 (87PTS)
Historique116-110-14 (0.483%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)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 moyen
1Paul CareyXX100.00703185697378856983686660787262305000332525,000$
2Wojtek WolskiXXX100.00661888627877886776666541807674275000361725,000$
3Pat MaroonX98.00784276639375927068687256777573275000342625,000$
4Maxime TalbotXXX97.00643494416461676760686777819499125000381500,000$
5David BackesXX100.00773266428072936490666566709099155000381950,000$
6Jamie McGinnXX100.00623496597579927062667164776965325000332500,000$
7Ryan WhiteXX100.00794153618169886995687062697169305000341600,000$
8Dale WeiseXX100.00653787597964836965647064756452295000332785,000$
9Emil Bemstrom (R)X97.00633097818476997370727364774343655000232500,000$
10Kevin Stenlund (R)XX97.00713093709176976889677178775049555000251600,000$
11Andrej SekeraX100.00573193627772865932534887718788205000363875,000$
12Johnny BoychukX100.0070347251787385485047478772889925000382650,000$
13Cody FransonX100.00683668598178955730564986707373275000343750,000$
14Duncan SiemensX100.00755461718876885353524789765754545000281950,000$
15Anton BelovX100.00632884467964864150404686556865225000352525,000$
16Ryan ParentX98.00643169628278915632495783798783185000351900,000$
Rayé
MOYENNE D’ÉQUIPE99.1968348060807388636361627274737229500
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 moyen
1Kari Lehtonen98.0063758781748889888775739999145000392500,000$
2Anders Lindback99.0064877983758789878777707776235000343500,000$
Rayé
MOYENNE D’ÉQUIPE98.506481838275888988877672888819500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Torchetti80727770919370USA561500,000$


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)RW74345286-316036111381922578.92%11149420.209243380222112111696247.83%34500001.1501000347
2Pat MaroonManitoba (WIN)LW82273865-3851511777302692198.94%6143017.4561319672131124876054.80%17700010.9100111531
3Jakob SilfverbergWinnipegLW/RW55273461-425582119299982519.03%9126823.07812207217910152064145.94%56600020.9600010532
4Ryan WhiteManitoba (WIN)C/RW82204060161115173145248591738.06%11126215.40178181080000565059.44%147700100.9500001311
5Kevin StenlundManitoba (WIN)C/RW53203858-236083138238631668.40%16118222.321011215416700081760356.67%173800000.9801000251
6Duncan SiemensManitoba (WIN)D64193857-515840155661514412012.58%127142522.2771118621810114214500%000000.8000134230
7Maxime TalbotManitoba (WIN)C/LW/RW66193655-5140501211565116412.18%14130619.80714213919411231801043.09%150600100.8401000223
8Andrej SekeraManitoba (WIN)D8294554-2160247814849926.08%116141517.276612491261124141000%000000.7600000014
9Ryan ParentManitoba (WIN)D8110435304009176215801294.65%176183122.61612181052460223287010%000100.5800000014
10Cody FransonManitoba (WIN)D80133649-2187510684170521157.65%158173221.6671219772350331274010%000000.5700001224
11Jamie McGinnManitoba (WIN)LW/RW8022254722201072232871649.48%11107213.4123519480001171155.71%14000000.8800000010
12Dale WeiseManitoba (WIN)LW/RW8223244712221038461905514712.11%11101012.33000250000245345.56%9000010.9300101420
13David BackesManitoba (WIN)C/RW76152439-86801211001374211110.95%16130117.12369241730002330059.37%120100000.6000000112
14Paul CareyManitoba (WIN)C/LW82162137230049106153359110.46%67629.301124190000421054.05%92700000.9700000012
15Johnny BoychukManitoba (WIN)D82112031177351045594357211.70%121123915.1212313380001119000%000000.5000100001
16Deryk EngellandWinnipegD66619259104101395711138695.41%145135520.53358501760001187100%000000.3700101001
17Anton SlepyshevWinnipegLW/RW3291423-161403548127431107.09%471022.193710269000051210149.22%25800010.6501000130
18Anton BelovManitoba (WIN)D74671311180342638152615.79%575807.8400004000043100%000000.4500000012
19Wojtek WolskiManitoba (WIN)C/LW/RW69369-51203517426327.14%04256.1700001000160047.09%17200000.4200000001
Statistiques d’équipe totales ou en moyenne13623095608691593195148215423432101325089.00%10152280916.7580146226761243251015542389361353.22%859700350.7604559303436
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)45212220.9213.722663411652085010004534435
2Anders LindbackManitoba (WIN)38201430.9193.7222754014117360100.80053743633
Statistiques d’équipe totales ou en moyenne83413650.9203.724939813063821020582771068


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Anders LindbackManitoba (WIN)G341988-05-03 10:26:39No219 Lbs6 ft6NoNoNoNo3Pro & Farm500,000$2,924$0$0$No500,000$500,000$Lien
Andrej SekeraManitoba (WIN)D361986-06-08No218 Lbs6 ft0NoNoNoNo3Pro & Farm875,000$5,117$0$0$No875,000$875,000$
Anton BelovManitoba (WIN)D351986-07-29No223 Lbs6 ft4NoNoNoNo2Pro & Farm525,000$3,070$0$0$No525,000$Lien
Cody FransonManitoba (WIN)D341987-08-08No223 Lbs6 ft4NoNoNoNo3Pro & Farm750,000$4,386$0$0$No750,000$750,000$Lien
Dale WeiseManitoba (WIN)LW/RW331988-08-05No218 Lbs6 ft2NoNoNoNo2Pro & Farm785,000$4,591$0$0$No785,000$Lien
David BackesManitoba (WIN)C/RW381984-05-01No226 Lbs6 ft3NoNoNoNo1Pro & Farm950,000$5,556$0$0$NoLien
Duncan SiemensManitoba (WIN)D281993-09-07No216 Lbs6 ft3NoNoNoNo1Pro & Farm950,000$5,556$0$0$NoLien
Emil BemstromManitoba (WIN)RW231999-06-01 02:08:56Yes195 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$
Jamie McGinnManitoba (WIN)LW/RW331988-08-05No215 Lbs6 ft1NoNoYesYes2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Johnny BoychukManitoba (WIN)D381984-01-19No228 Lbs6 ft2NoNoNoNo2Pro & Farm650,000$3,801$0$0$No650,000$Lien
Kari LehtonenManitoba (WIN)G391983-01-10 11:37:02No212 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$
Kevin StenlundManitoba (WIN)C/RW251996-09-20 02:12:24Yes215 Lbs6 ft5NoNoNoNo1Pro & Farm600,000$3,509$0$0$No
Maxime TalbotManitoba (WIN)C/LW/RW381984-02-11No196 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Pat MaroonManitoba (WIN)LW341988-04-23No227 Lbs6 ft3NoNoNoNo2Pro & Farm625,000$3,655$0$0$No625,000$Lien
Paul CareyManitoba (WIN)C/LW331988-09-24No203 Lbs6 ft1NoNoNoNo2Pro & Farm525,000$3,070$0$0$No525,000$Lien
Ryan ParentManitoba (WIN)D351987-03-17No215 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$No
Ryan WhiteManitoba (WIN)C/RW341988-03-17No203 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$3,509$0$0$NoLien
Wojtek WolskiManitoba (WIN)C/LW/RW361986-01-11No212 Lbs6 ft3NoNoNoNo1Pro & Farm725,000$4,240$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1833.67215 Lbs6 ft21.78664,444$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxime TalbotKevin StenlundEmil Bemstrom35122
2Pat MaroonRyan WhiteDavid Backes35122
3Jamie McGinnPaul CareyDale Weise30122
4Kevin StenlundWojtek WolskiEmil Bemstrom0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan ParentDuncan Siemens35122
2Cody FransonJohnny Boychuk30122
3Andrej SekeraAnton Belov25122
4Ryan ParentDuncan Siemens10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxime TalbotKevin StenlundEmil Bemstrom50122
2Pat MaroonRyan WhiteDavid Backes50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan ParentDuncan Siemens50122
2Cody FransonJohnny Boychuk50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundEmil Bemstrom50122
2Maxime TalbotPat Maroon50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan ParentDuncan Siemens50122
2Cody FransonJohnny Boychuk50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Stenlund50122Ryan ParentDuncan Siemens50122
2Emil Bemstrom50122Cody FransonJohnny Boychuk50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundEmil Bemstrom50122
2Maxime TalbotPat Maroon50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan ParentDuncan Siemens50122
2Cody FransonJohnny Boychuk50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxime TalbotKevin StenlundEmil BemstromRyan ParentDuncan Siemens
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxime TalbotKevin StenlundEmil BemstromRyan ParentDuncan Siemens
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie McGinn, Paul Carey, Dale WeiseJamie McGinn, Paul CareyDale Weise
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrej Sekera, Anton Belov, Cody FransonAndrej SekeraAnton Belov, Cody Franson
Tirs de pénalité
Kevin Stenlund, Emil Bemstrom, Maxime Talbot, Pat Maroon, Ryan White
Gardien
#1 : Kari Lehtonen, #2 : Anders Lindback
Lignes d’attaque personnalisées en prolongation
Kevin Stenlund, Emil Bemstrom, Maxime Talbot, Pat Maroon, Ryan White, David Backes, David Backes, Jamie McGinn, Paul Carey, Dale Weise, Wojtek Wolski
Lignes de défense personnalisées en prolongation
Ryan Parent, Duncan Siemens, Cody Franson, Johnny Boychuk, 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
1Abbotsford4310000026101622000000134921100000136760.75026507600133998932421187118612092817259298219526.32%12375.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
2Bakersfield531000012718921000001844321000001914570.70027507701133998932441187118612092822358579415746.67%23386.96%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
3Bridgeport20200000611-51010000036-31010000035-200.0006915001339989380118711861209281131820307342.86%10370.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
4Charlotte3210000014122110000007522110000077040.66714243800133998931471187118612092816250515412541.67%17288.24%11894360552.54%2012391151.44%791144754.66%1882124519696431093542
5Cleveland21100000880110000004311010000045-120.5008152300133998939811871186120928901716399222.22%8275.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
6Coachella Valley3010110079-2200011006601010000013-230.5007132000133998931451187118612092814729355817211.76%14285.71%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
7Eagles42100100211562110000078-121000100147750.62521365700133998931871187118612092818448577216531.25%21480.95%21894360552.54%2012391151.44%791144754.66%1882124519696431093542
8Grand Rapids220000001055110000006331100000042241.0001018280013399893112118711861209288432103611218.18%5340.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
9Hartford2110000067-11010000024-21100000043120.5006101600133998938111871186120928783122357114.29%11190.91%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
10Hershey21001000972110000004311000100054141.00091625001339989384118711861209288525273610220.00%100100.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
11Iowa614010002026-6311010001212030300000814-640.333203757001339989323611871186120928254577110618527.78%33487.88%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
12Laval2110000089-1110000006421010000025-320.50081119001339989367118711861209281012035398225.00%10370.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
13Lehigh Valley21100000981110000005321010000045-120.500917260013399893861187118612092810120204110330.00%9277.78%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
14Ontario43100000201372200000012662110000087160.75020355500133998931851187118612092817047307616318.75%14192.86%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
15Providence220000001055110000005321100000052341.00010172700133998938111871186120928902925355120.00%10280.00%11894360552.54%2012391151.44%791144754.66%1882124519696431093542
16Rochester220000001165110000003211100000084441.00011213200133998939511871186120928932024438337.50%12283.33%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
17Rockford633000001919032100000108231200000911-260.50019325100133998932351187118612092822563609728725.00%23578.26%11894360552.54%2012391151.44%791144754.66%1882124519696431093542
18San Diego42200000131302200000073420200000610-440.50013213400133998931761187118612092817462416914428.57%17194.12%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
19San Jose4210010014122211000008622100010066050.6251425390013399893151118711861209282147046801516.67%220100.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
20Springfield623001002428-4321000001812630200100616-1050.417244771001339989325811871186120928310858212023939.13%29775.86%11894360552.54%2012391151.44%791144754.66%1882124519696431093542
21Syracuse633000001624-832100000811-331200000813-560.5001628440013399893222118711861209283218811113223313.04%38878.95%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
22Texas615000002029-9312000001311230300000718-1120.167203555001339989327411871186120928300667212222627.27%28775.00%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
23Wilkes-Barre/Scranton30300000613-720200000610-41010000003-300.000611170013399893119118711861209281303732479222.22%16287.50%01894360552.54%2012391151.44%791144754.66%1882124519696431093542
Total8238360340132430717412512021011731373641132401300151170-19870.53032457890201133998933605118711861209283821103197315433228325.78%3926782.91%61894360552.54%2012391151.44%791144754.66%1882124519696431093542
_Since Last GM Reset8238360340132430717412512021011731373641132401300151170-19870.53032457890201133998933605118711861209283821103197315433228325.78%3926782.91%61894360552.54%2012391151.44%791144754.66%1882124519696431093542
_Vs Conference5525250130122020713271780100111685312881700300104122-18560.5092203966160113399893241011871186120928254770365610502095526.32%2604383.46%41894360552.54%2012391151.44%791144754.66%1882124519696431093542
_Vs Division28101801100104117-131486010006051914212001004466-22230.411104187291001339989311901187118612092812733193425171073229.91%1342779.85%41894360552.54%2012391151.44%791144754.66%1882124519696431093542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8287L1324578902360538211031973154301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238363401324307
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125122101173137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113241300151170
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
3228325.78%3926782.91%6
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
1187118612092813399893
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
1894360552.54%2012391151.44%791144754.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1882124519696431093542


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
29Springfield5Manitoba9BWSommaire du match
424Rockford2Manitoba3BWSommaire du match
638Manitoba1Iowa5ALSommaire du match
745Wilkes-Barre/Scranton6Manitoba5BLSommaire du match
954Manitoba3Springfield4ALXSommaire du match
1169Manitoba5Bakersfield8ALSommaire du match
1377Manitoba4Syracuse5ALSommaire du match
1587Texas4Manitoba1BLSommaire du match
17102Iowa4Manitoba5BWXSommaire du match
19113Manitoba3Rockford5ALSommaire du match
21125Texas1Manitoba9BWSommaire du match
23137Manitoba3Texas5ALSommaire du match
24146Manitoba2San Diego5ALSommaire du match
26157Manitoba4Eagles5ALXSommaire du match
28168Syracuse6Manitoba1BLSommaire du match
30181Eagles3Manitoba4BWSommaire du match
32191Manitoba6Iowa7ALSommaire du match
34205Hartford4Manitoba2BLSommaire du match
35217Manitoba1Coachella Valley3ALSommaire du match
38231Coachella Valley3Manitoba4BWXSommaire du match
40244Bakersfield4Manitoba3BLXXSommaire du match
41254Manitoba0Springfield6ALSommaire du match
43265Manitoba4Grand Rapids2AWSommaire du match
45278Grand Rapids3Manitoba6BWSommaire du match
48290Manitoba6Ontario3AWSommaire du match
49300Manitoba10Eagles2AWSommaire du match
51310Charlotte5Manitoba7BWSommaire du match
54326Ontario4Manitoba6BWSommaire du match
56335Manitoba5Providence2AWSommaire du match
57345Manitoba3Springfield6ALSommaire du match
59357Springfield3Manitoba6BWSommaire du match
61369Manitoba1Texas8ALSommaire du match
63378Manitoba4Lehigh Valley5ALSommaire du match
64384Iowa6Manitoba3BLSommaire du match
66399Manitoba2San Jose3ALXSommaire du match
68408Hershey3Manitoba4BWSommaire du match
71426Bakersfield0Manitoba5BWSommaire du match
73442Manitoba3Syracuse2AWSommaire du match
74450Rockford3Manitoba2BLSommaire du match
77469Rockford3Manitoba5BWSommaire du match
79480Manitoba5Hershey4AWXSommaire du match
80488Manitoba4San Jose3AWSommaire du match
82500Wilkes-Barre/Scranton4Manitoba1BLSommaire du match
85513Manitoba2Laval5ALSommaire du match
87524Rochester2Manitoba3BWSommaire du match
89539Manitoba1Syracuse6ALSommaire du match
90546Springfield4Manitoba3BLSommaire du match
93563Iowa2Manitoba4BWSommaire du match
95570Manitoba0Wilkes-Barre/Scranton3ALSommaire du match
97585Manitoba2Ontario4ALSommaire du match
99592Manitoba9Bakersfield2AWSommaire du match
100599Bridgeport6Manitoba3BLSommaire du match
102614Manitoba4Cleveland5ALSommaire du match
104623Cleveland3Manitoba4BWSommaire du match
106639Manitoba5Bakersfield4AWSommaire du match
107646Eagles5Manitoba3BLSommaire du match
109662Manitoba8Rochester4AWSommaire du match
111670Coachella Valley3Manitoba2BLXSommaire du match
113683Manitoba4Hartford3AWSommaire du match
115694Lehigh Valley3Manitoba5BWSommaire du match
117707Manitoba3Texas5ALSommaire du match
119717Texas6Manitoba3BLSommaire du match
121732Manitoba2Rockford3ALSommaire du match
122739Manitoba3Abbotsford4ALSommaire du match
124746Ontario2Manitoba6BWSommaire du match
127766Providence3Manitoba5BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
131783Manitoba1Iowa2ALSommaire du match
133789Laval4Manitoba6BWSommaire du match
135798Manitoba4Rockford3AWSommaire du match
137813Abbotsford2Manitoba4BWSommaire du match
141831Manitoba10Abbotsford2AWSommaire du match
142838Abbotsford2Manitoba9BWSommaire du match
144851Manitoba3Bridgeport5ALSommaire du match
146862San Jose4Manitoba3BLSommaire du match
149878Manitoba4San Diego5ALSommaire du match
150885San Jose2Manitoba5BWSommaire du match
154908Syracuse3Manitoba4BWSommaire du match
156923San Diego1Manitoba4BWSommaire du match
158932Manitoba5Charlotte3AWSommaire du match
162951San Diego2Manitoba3BWSommaire du match
168970Syracuse2Manitoba3BWSommaire du match
169980Manitoba2Charlotte4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,14430,910
Assistance PCT75.79%75.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2270 - 75.65% 132,843$5,446,575$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,724,478$ 1,196,000$ 1,196,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,994$ 1,227,398$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 9,918$ 9,918$




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
1Ryan White24564113177353215103857428.63%34390115.925303583000114060.16%00.9113
2Emil Bemstrom14868104172-632722227628.92%22298920.201848661602242212447.83%01.1502
3Maxime Talbot20553104157-183412041746211.47%54406919.8516355190224114244.90%10.7704
4Duncan Siemens18243101144-536936917138111.29%319377520.74172643175033101100%00.7600
5Ryan Parent24435109144-241492982185596.26%472539522.112130512760449230%00.5300

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
1Kari Lehtonen90424440.9213.72532782330417002000
2Anders Lindback76402860.9193.7245508028234720200.80010
3Magnus Hellberg52252160.9103.0231024215617430500.93816
4Adam Dennis3291740.9023.6118632011211430120.72711

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
Saison régulière
2082263803753256273-1741151500641131137-641112303112125136-1178256447703229979709256784281987160288882780913813026220.53%3515983.19%21609297354.12%1767328453.81%710136352.09%1860122520306401084538
218238360340132430717412512021011731373641132401300151170-198732457890201133998933605118711861209283821103197315433228325.78%3926782.91%61894360552.54%2012391151.44%791144754.66%1882124519696431093542
218238360340132430717412512021011731373641132401300151170-198732457890201133998933605118711861209283821103197315433228325.78%3926782.91%61894360552.54%2012391151.44%791144754.66%1882124519696431093542
Total Saison régulière2461021100915559048871712365390484347741166123377105712427476-4925290416032507243652772481597773216319132891161053028892755446794622824.10%113519383.00%1453971018353.00%57911110652.14%2292425753.84%562637165970192732701624
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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