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Manitoba
GP: 36 | W: 21 | L: 12 | OTL: 3 | P: 45
GF: 121 | GA: 110 | PP%: 19.46% | PK%: 81.25%
DG: Michael Tremblay | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #445 vs Hartford

Centre de jeu
Utica
7-20-6, 20pts
2
FINAL
7 Manitoba
21-12-3, 45pts
Team Stats
L10SéquenceOTL1
4-11-3Fiche domicile11-5-2
3-9-3Fiche domicile10-7-1
0-10-0Derniers 10 matchs6-3-1
2.45Buts par match 3.36
4.00Buts contre par match 3.06
19.05%Pourcentage en avantage numérique19.46%
81.55%Pourcentage en désavantage numérique81.25%
Rochester
18-12-4, 40pts
4
FINAL
3 Manitoba
21-12-3, 45pts
Team Stats
W1SéquenceOTL1
11-5-2Fiche domicile11-5-2
7-7-2Fiche domicile10-7-1
3-4-3Derniers 10 matchs6-3-1
3.12Buts par match 3.36
3.18Buts contre par match 3.06
13.51%Pourcentage en avantage numérique19.46%
76.03%Pourcentage en désavantage numérique81.25%
Manitoba
21-12-3, 45pts
Jour 85
Hartford
19-14-3, 41pts
Statistiques d’équipe
OTL1SéquenceW1
11-5-2Fiche domicile9-7-1
10-7-1Fiche visiteur10-7-2
6-3-110 derniers matchs2-7-1
3.36Buts par match 3.36
3.06Buts contre par match 3.36
19.46%Pourcentage en avantage numérique23.03%
81.25%Pourcentage en désavantage numérique76.76%
Manitoba
21-12-3, 45pts
Jour 87
Eagles
23-9-3, 49pts
Statistiques d’équipe
OTL1SéquenceL1
11-5-2Fiche domicile13-5-0
10-7-1Fiche visiteur10-4-3
6-3-110 derniers matchs5-4-1
3.36Buts par match 3.37
3.06Buts contre par match 3.37
19.46%Pourcentage en avantage numérique16.41%
81.25%Pourcentage en désavantage numérique83.92%
Lehigh Valley
19-11-2, 40pts
Jour 90
Manitoba
21-12-3, 45pts
Statistiques d’équipe
L1SéquenceOTL1
10-6-2Fiche domicile11-5-2
9-5-0Fiche visiteur10-7-1
8-2-010 derniers matchs6-3-1
3.63Buts par match 3.36
3.03Buts contre par match 3.36
19.23%Pourcentage en avantage numérique19.46%
77.68%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Buts
Austin Czarnik
15
Passes
Cole Sillinger
28
Points
Cole Sillinger
42
Plus/Moins
Austin Czarnik
10
Victoires
Kari Lehtonen
16
Pourcentage d’arrêts
Kari Lehtonen
0.915

Statistiques d’équipe
Buts pour
121
3.36 GFG
Tirs pour
1267
35.19 Avg
Pourcentage en avantage numérique
19.5%
29 GF
Début de zone offensive
40.9%
Buts contre
110
3.06 GAA
Tirs contre
1258
34.94 Avg
Pourcentage en désavantage numérique
81.3%%
24 GA
Début de la zone défensive
41.4%
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
Assistance2,195
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs33


Historique d'équipe

Saison actuelle21-12-3 (45PTS)
Historique55-50-9 (0.482%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)4 - 8 (0.333%)
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 SlepyshevXX100.00662797768579897075656862775754385000303775,000$
2Andrew CoglianoXXX100.00592495627063956754686865778887175000372500,000$
3Paul CareyXX100.00673086647272856781666557787966255000351500,000$
4Benoit PouliotX100.00602883528263896768666667768378155000371650,000$
5Darren HelmX100.006621866568738867707071698595932250003711,200,000$
6Paul ByronXXX97.006825937456737674587072667978752550003511,400,000$
7Alex ChiassonXX100.00692792659174957274677167786762305000332750,000$
8James NealXX100.00753377557577846970666960788576365000361750,000$
9Mathieu PerreaultXX96.006937855879608171766770726987731850003611,100,000$
10Austin CzarnikXXX97.006526988063808070796774667860523950003121,350,000$
11Cole Sillinger (R)XX95.00794590768481897182747372703535795000213900,000$
12Andrej SekeraX100.00542993527666865732524485699191165000381875,000$
13Cody FransonX100.00673466528172955930575386707976225000361750,000$
14Duncan SiemensX100.00745153678775895553535190766360455000304875,000$
15Deryk Engelland (A)X100.0073385536767091435047439273999825000421950,000$
16Ethan BearX99.00713182917885856154585690815147625000271875,000$
17Mark Giordano (C)X99.007032806080789851705347937698971350004011,475,000$
Rayé
MOYENNE D’ÉQUIPE99.0068328364777388646363627476767230500
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 Lehtonen97.0059758981748989868673739999105000412975,000$
2Anders Lindback100.0062877883748686888877708281195000361500,000$
Rayé
MOYENNE D’ÉQUIPE98.506181848274888887877572919015500
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
1Cole SillingerManitoba (WIN)C/LW3614284283008383151391119.27%777321.491910311220002631152.84%105600001.0913000325
2Ethan BearManitoba (WIN)D361028385260455710731709.35%5687524.32581358126000096300%000000.8700000510
3Austin CzarnikManitoba (WIN)C/LW/RW3615183310203049118359412.71%366918.59538301240000103051.18%17000000.9900000154
4Paul ByronManitoba (WIN)C/LW/RW36131730-11803167124416810.48%475420.9631114191191015941340.83%79600000.8001000321
5Cody FransonManitoba (WIN)D3651722-216020356122358.20%5576821.3515630119011097000%000000.5700000212
6Anton SlepyshevManitoba (WIN)LW/RW36812200120263511129647.21%059116.4400012000062154.90%5100000.6800000010
7Darren HelmManitoba (WIN)LW2771320-412018277223549.72%559121.9214515920002642049.56%11300000.6802000011
8Mark GiordanoManitoba (WIN)D36713203395322551243213.73%7886824.1243724124000091200%000000.4600010020
9Duncan SiemensManitoba (WIN)D3661319-141572256419479.38%6975921.1043737119011189000%000000.5000001102
10Alex ChiassonManitoba (WIN)LW/RW3371017014031169127667.69%564719.62167241110001401053.66%4100000.5300000011
11Mathieu PerreaultManitoba (WIN)LW/RW3079168100432365184510.77%559219.7643719950000520053.89%16700000.5423000012
12Andrej SekeraManitoba (WIN)D3611415300120263263.85%3855115.3200001000042000%000000.5400000000
13Andrew CoglianoManitoba (WIN)C/LW/RW36581304020527522586.67%453514.880004260000452042.20%56400000.4900000010
14Deryk EngellandManitoba (WIN)D36279240107718227109.09%4652214.520002500009000%000000.3400200011
15Paul CareyManitoba (WIN)C/LW34448-18013293561711.43%12417.1100000000050155.14%29200000.6600000001
16Benoit PouliotManitoba (WIN)LW3643714016134617318.70%23319.21000040001162046.15%3900000.4200000002
17James NealManitoba (WIN)LW/RW36437-718071184830368.33%351014.19000331000020048.65%3700000.2700000100
Statistiques d’équipe totales ou en moyenne592119217336242942062959212673938649.39%3811058717.8829558429712271231282719648.14%332600000.6339211161922
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)30161030.9152.91175220859980100.6005297120
2Anders LindbackManitoba (WIN)85200.9083.3343320242600001.0003729000
Statistiques d’équipe totales ou en moyenne38211230.9132.99218540109125801083636120


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/RW331990-10-01CANNo211 Lbs6 ft4NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm750,000$426,923$0$0$No750,000$--------750,000$--------No--------Lien
Anders LindbackManitoba (WIN)G361988-05-03SWENo219 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------Lien
Andrej SekeraManitoba (WIN)D381986-06-08SLONo218 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm875,000$498,077$0$0$No---------------------------
Andrew CoglianoManitoba (WIN)C/LW/RW371987-06-14CANNo186 Lbs5 ft10NoNoFree AgentNoNo22025-10-30FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Anton SlepyshevManitoba (WIN)LW/RW301994-05-13RUSNo224 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$441,154$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$768,462$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Benoit PouliotManitoba (WIN)LW371986-09-29CANNo204 Lbs6 ft3NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm650,000$370,000$0$0$No---------------------------Lien
Cody FransonManitoba (WIN)D361987-08-08CANNo223 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$426,923$0$0$No---------------------------Lien
Cole SillingerManitoba (WIN)C/LW212003-05-16USAYes201 Lbs6 ft1NoNoProspectNoNo32025-10-15FalseFalsePro & Farm900,000$512,308$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$683,077$0$0$No---------------------------
Deryk EngellandManitoba (WIN)D421982-04-03CANNo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$540,769$0$0$No---------------------------Lien
Duncan SiemensManitoba (WIN)D301993-09-07CANNo216 Lbs6 ft3NoNoN/ANoNo42025-09-11FalseFalsePro & Farm875,000$498,077$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$498,077$0$0$No---------------------------Lien / Lien NHL
James NealManitoba (WIN)LW/RW361987-09-03CANNo226 Lbs6 ft2NoNoFree AgentNoNo12024-09-21FalseFalsePro & Farm750,000$426,923$0$0$No---------------------------Lien
Kari LehtonenManitoba (WIN)G411983-01-10FINNo212 Lbs6 ft4NoNoFree AgentNoNo22025-09-24FalseFalsePro & Farm975,000$555,000$0$0$No975,000$--------975,000$--------No--------
Mark GiordanoManitoba (WIN)D401983-10-03CANNo205 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm1,475,000$839,615$0$0$No---------------------------Lien / Lien NHL
Mathieu PerreaultManitoba (WIN)LW/RW361988-01-21CANNo197 Lbs5 ft10NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,100,000$626,154$0$0$No---------------------------Lien
Paul ByronManitoba (WIN)C/LW/RW351989-04-27CANNo156 Lbs5 ft7NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,400,000$796,923$0$0$No---------------------------Lien
Paul CareyManitoba (WIN)C/LW351988-09-24USANo203 Lbs6 ft1NoNoFree AgentNoNo12025-10-30FalseFalsePro & Farm500,000$284,615$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 SillingerMathieu Perreault34122
2James NealAustin CzarnikAndrew Cogliano34122
3Benoit PouliotPaul CareyAnton Slepyshev32122
4Cole SillingerPaul ByronMathieu Perreault0122
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
1Cole SillingerPaul ByronMathieu Perreault50122
2James NealAustin CzarnikAndrew Cogliano50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50122
2Duncan SiemensCody Franson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul ByronCole Sillinger50122
2Mathieu PerreaultAustin Czarnik50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50122
2Duncan SiemensCody Franson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Paul Byron50122Mark GiordanoEthan Bear50122
2Cole Sillinger50122Duncan SiemensCody Franson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul ByronCole Sillinger50122
2Mathieu PerreaultAustin Czarnik50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark GiordanoEthan Bear50122
2Duncan SiemensCody Franson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SillingerPaul ByronMathieu PerreaultMark GiordanoEthan Bear
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SillingerPaul ByronMathieu PerreaultMark GiordanoEthan Bear
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit Pouliot, Anton Slepyshev, Paul CareyBenoit Pouliot, Anton SlepyshevPaul Carey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Deryk Engelland, Andrej Sekera, Duncan SiemensDeryk EngellandAndrej Sekera, Duncan Siemens
Tirs de pénalité
Paul Byron, Cole Sillinger, Mathieu Perreault, Austin Czarnik, James Neal
Gardien
#1 : Kari Lehtonen, #2 : Anders Lindback
Lignes d’attaque personnalisées en prolongation
Paul Byron, Cole Sillinger, Mathieu Perreault, Austin Czarnik, James Neal, Benoit Pouliot, Andrew Cogliano, Anton Slepyshev, 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
1Abbotsford3200001014952100001010731100000042261.00014233700473040596449397408229533363810330.00%18194.44%0629135646.39%691137250.36%28858649.15%855578856280475238
2Bakersfield32100000911-22110000047-31100000054140.667917260047304051144493974082210834315318527.78%12375.00%0629135646.39%691137250.36%28858649.15%855578856280475238
3Charlotte11000000541110000005410000000000021.000591400473040540449397408222711922300.00%2150.00%0629135646.39%691137250.36%28858649.15%855578856280475238
4Cleveland210001008801000010034-11100000054130.7508152300473040565449397408228026233410110.00%9366.67%0629135646.39%691137250.36%28858649.15%855578856280475238
5Coachella Valley11000000211000000000001100000021121.000246004730405364493974082220112204125.00%10100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
6Grand Rapids1010000035-2000000000001010000035-200.00036900473040528449397408223492157114.29%110.00%0629135646.39%691137250.36%28858649.15%855578856280475238
7Hartford1010000045-11010000045-10000000000000.00048120047304052744939740822371910115240.00%5260.00%0629135646.39%691137250.36%28858649.15%855578856280475238
8Hershey11000000422000000000001100000042221.0004812004730405364493974082230112126116.67%10100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
9Iowa11000000523110000005230000000000021.00051015004730405514493974082236128216350.00%3166.67%0629135646.39%691137250.36%28858649.15%855578856280475238
10Laval2010001067-11010000035-21000001032120.500671300473040568449397408226991735500.00%5180.00%0629135646.39%691137250.36%28858649.15%855578856280475238
11Providence11000000642110000006420000000000021.00061117004730405294493974082241612256116.67%6350.00%0629135646.39%691137250.36%28858649.15%855578856280475238
12Rochester20001100770200011007700000000000030.750713200047304057444939740822872118306466.67%8187.50%0629135646.39%691137250.36%28858649.15%855578856280475238
13Rockford11000000312110000003120000000000021.00036900473040548449397408223398208225.00%3166.67%0629135646.39%691137250.36%28858649.15%855578856280475238
14San Diego211000005501010000013-21100000042220.50058130047304055044939740822782316372150.00%8187.50%0629135646.39%691137250.36%28858649.15%855578856280475238
15San Jose1010000034-1000000000001010000034-100.000369004730405324493974082252131424100.00%7185.71%0629135646.39%691137250.36%28858649.15%855578856280475238
16Springfield2110000056-1110000004311010000013-220.50051015004730405684493974082270228361119.09%40100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
17Syracuse2020000015-41010000002-21010000013-200.000123004730405634493974082281311638600.00%80100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
18Texas3020100079-2000000000003020100079-220.333711180047304058844939740822973118531000.00%70100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
19Utica 421000011713411000000725311000011011-150.6251732490047304051724493974082213131306514214.29%13469.23%1629135646.39%691137250.36%28858649.15%855578856280475238
20Wilkes-Barre/Scranton22000000725110000005141100000021141.000711180047304058244939740822521918401119.09%70100.00%0629135646.39%691137250.36%28858649.15%855578856280475238
Total361712022211211101118950121067571018870101154531450.62512121733800473040512674493974082212583812986291492919.46%1282481.25%1629135646.39%691137250.36%28858649.15%855578856280475238
_Since Last GM Reset361712022211211101118950121067571018870101154531450.62512121733800473040512674493974082212583812986291492919.46%1282481.25%1629135646.39%691137250.36%28858649.15%855578856280475238
_Vs Conference1796010105348585200010272349440100026251220.647539514800473040558344939740822589188141302701622.86%63887.30%0629135646.39%691137250.36%28858649.15%855578856280475238
_Vs Division733010002018233000000126640301000812-480.57120375700473040525544939740822236744213035617.14%17288.24%0629135646.39%691137250.36%28858649.15%855578856280475238

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3645OTL11212173381267125838129862900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3617122221121110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189512106757
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
188710115453
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1492919.46%1282481.25%1
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
449397408224730405
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
629135646.39%691137250.36%28858649.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
855578856280475238


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
85445Manitoba-Hartford-
87456Manitoba-Eagles-
90469Lehigh Valley-Manitoba-
93488Manitoba-Providence-
95494Ontario-Manitoba-
98508Manitoba-Cleveland-
100518Iowa-Manitoba-
102529Manitoba-Rochester-
104543Eagles-Manitoba-
106552Manitoba-Lehigh Valley-
108568Hershey-Manitoba-
110580Manitoba-Eagles-
111589Manitoba-Ontario-
113599Syracuse-Manitoba-
115610Manitoba-San Jose-
117621Rockford-Manitoba-
120635Manitoba-Bridgeport-
121645Providence-Manitoba-
124663Manitoba-Ontario-
126669San Diego-Manitoba-
128683Manitoba-Springfield-
131694Springfield-Manitoba-
133711Manitoba-Rockford-
135717Manitoba-Texas-
136724Hartford-Manitoba-
139744Manitoba-Abbotsford-
140751Iowa-Manitoba-
142768Manitoba-Iowa-
144776Bridgeport-Manitoba-
147789Manitoba-Rockford-
148797Eagles-Manitoba-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152819Manitoba-Coachella Valley-
153823Texas-Manitoba-
156839Manitoba-Charlotte-
157848San Jose-Manitoba-
161871Texas-Manitoba-
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
Assistance26,66812,836
Assistance PCT74.08%71.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2195 - 73.16% 128,886$2,319,947$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,255,716$ 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$ 738,780$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,964,377$ 111 14,949$ 1,659,339$




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
1Ethan Bear118237194-51061461632578.95%172265922.531126371360113410%00.7100
2Ryan White81243357399164952469.76%12137516.98316194700014063.44%00.8313
3Rob Schremp82282755-1022466224711.34%14158419.3289174600034154.93%00.6903
4Timothy Liljegren78153550-1068102871728.72%132166321.321010201110003000%00.6000
5Duncan Siemens90113849494131641437.69%134168518.727714880223100%00.5800

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
1Magnus Hellberg52252160.9103.0231024215617430500.93816
2Kari Lehtonen30161030.9152.91175220859980100.6005
3Adam Dennis3291740.9023.6118632011211430120.72711
4Anders Lindback85200.9083.3343320242600001.0003

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
233617120222112111011189501210675710188701011545314512121733800473040512674493974082212583812986291492919.46%1282481.25%1629135646.39%691137250.36%28858649.15%855578856280475238
Total Saison régulière118435005974377383-659242001851198194459193004123179189-101233776641041221461091101438341291121612798241461208110720104519120.18%4798382.67%32238432951.70%2458465652.79%998194951.21%2716180328879201559777
Séries éliminatoires
21514000002529-420200000913-43120000016160225497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833
22734000002227-5413000001319-63210000098162238601061150231845790029997931272100.00%36780.56%313526950.19%15732248.76%5812646.03%15499176558943
Total Séries éliminatoires1248000004756-9615000002232-10633000002524184787134101613180486167131179959017015021148918.75%601378.33%426553249.81%28961147.30%11423748.10%2781832999615776

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
1Austin Czarnik44610-12162416.67%19924.84145510110030.77%02.0100
2Duncan Siemens12369-71626172313.04%1926422.04123170001010%00.6800
3Kevin Stenlund4358-141282313.04%19824.53224801100053.51%01.6300
4Cody Franson12178-6101714283.57%3426422.05033130000000%00.6000
5Paul Carey1226820423258.00%015312.82000200000052.36%01.0400

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
1Anders Lindback42200.9224.00240001620400000
2Kari Lehtonen82420.8994.73495003938500100