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Manitoba Moose
GP: 19 | W: 11 | L: 8
GF: 53 | GA: 46 | PP%: 28.57% | PK%: 68.18%
DG: Chris Ferguson | Morale : 73 | Moyenne d’équipe : 62
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Centre de jeu
Hartford Wolf Pack
16-7-0, 32pts
3
FINAL
1 Manitoba Moose
11-8-0, 22pts
Team Stats
W1StreakL2
10-3-0Home Record6-3-0
6-4-0Away Record5-5-0
7-3-0Last 10 Games6-4-0
3.43Buts par match 2.79
2.52Buts contre par match 2.42
31.25%Pourcentage en avantage numérique28.57%
85.71%Pourcentage en désavantage numérique68.18%
Manitoba Moose
11-8-0, 22pts
1
FINAL
3 Hartford Wolf Pack
16-7-0, 32pts
Team Stats
L2StreakW1
6-3-0Home Record10-3-0
5-5-0Away Record6-4-0
6-4-0Last 10 Games7-3-0
2.79Buts par match 3.43
2.42Buts contre par match 2.52
28.57%Pourcentage en avantage numérique31.25%
68.18%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Tyler Bozak
10
Jason DickinsonPasses
Jason Dickinson
11
Points
Tyler Bozak
18
Christian WolaninPlus/Moins
Christian Wolanin
7
Victoires
Nico Daws
11
Pourcentage d’arrêts
Nico Daws
0.941

Statistiques d’équipe
Buts pour
53
2.79 GFG
Tirs pour
764
40.21 Avg
Pourcentage en avantage numérique
28.6%
6 GF
Début de zone offensive
40.7%
Buts contre
46
2.42 GAA
Tirs contre
710
37.37 Avg
Pourcentage en désavantage numérique
68.2%%
7 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralChris Ferguson
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 65
Espoirs54


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
1Trent Frederic0XX100.008175698573817567555461675560690786502511,050,000$
2Kole Lind (R)0XX100.00563581865981976855615767555866078650242850,000$
3Jason Dickinson0XX100.007343878567857665654857685565720786402732,650,000$
4Filip Chytil0XX100.005035899071858467655760595555640786302312,300,000$
5Scott Reedy (R)0X100.00503587856879997055456661555865078630243852,500$
6Cole Perfetti (R)0XX100.00573595845567657255615864555068078620213894,167$
7Tyler Bozak0XX100.00503588866182656665555555559070078610371750,000$
8Axel Jonsson-Fjallby (R)0X100.00563590826279995955475760556065078610251750,000$
9Jan Jenik (R)0XX100.00664372826167705955455857555361078580221795,000$
10Gabriel Fortier (R)0XX100.00653584825267705455455458555563078570235781,667$
11Trey Fix-Wolansky (R)0X100.00503595824960705650455460555563078560241750,000$
12Tyler Madden (R)0XXX100.00593575745870655449515054496048078550231925,000$
13Nicolas Petan0XXX100.00593575736165684853515347546048078540281750,000$
14Niko Mikkola (R)0X100.00814367836986895940555865406567078670272750,000$
15Christian Wolanin0X100.00503589826067708640445780406875078670283750,000$
16Michael Stone0X100.00673585836767707440566467407874078660333750,000$
17Erik Brannstrom0X100.00563580905193776840625066405565078650232900,000$
18Cam Dineen (R)0X100.00543592825483946040575066405866078640251750,000$
19Ethan Prow0X100.00503595825267705340405773407369078620301750,000$
20Mattias Norlinder (R)0X100.00503586825567696240445072405565078610233859,167$
21Madison Bowey0X100.00503595826367705740405065406867078600281750,000$
22John Leonard (R)0XXX100.00533595826067705755455460555865078590241750,000$
23Brenden Kichton0X100.00555559605959685925596959555353078570301750,000$
24Callan Foote (R)0X100.00563575726253605254545458407358078570242850,000$
25Luca Sbisa0X100.00623575725559624855455552407358078550331750,000$
Rayé
1Noel Gunler (R)0X100.00554060706080805040505050405050019540216862,500$
2Ivan Chekhovich (R)0XX100.00623575775668694754464955466048020540241776,667$
3Alexander Chmelevski (R)0XX100.00503575765265675053465549526048020530241778,333$
4David Krejci0X100.005635757863656749474945524660480205303721,000,000$
5Vasily Ponomarev (R)0X100.00555555555555555555555555555555020520205795,000$
MOYENNE D’ÉQUIPE100.0058398179607174605050556149616206860
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
1Nico Daws (R)0100.0082707696898282828289655366078780223850,833$
2Spencer Martin0100.0075757587876666727466476674055720283750,000$
Rayé
1Eric Comrie0100.0088707193958383838396506572048810274800,000$
2Marek Mazanec0100.0075757587836967736969476967026710311750,000$
MOYENNE D’ÉQUIPE100.008073749189757578778052637005276
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tyler BozakManitoba Moose (WPG)C/RW1910818000182094415410.64%1540321.25101320000000267.74%31408000.8900000112
2Filip ChytilManitoba Moose (WPG)C/LW1910616520181599264410.10%931416.57314414000011035.29%17396001.0200000112
3Jason DickinsonManitoba Moose (WPG)C/LW195111668033316317377.94%1131816.78044414000034056.09%3121415001.0000000120
4Trent FredericManitoba Moose (WPG)C/LW195111602060497232346.94%1642522.381126200001191144.69%687155100.7500000131
5Kole LindManitoba Moose (WPG)C/LW19691508033208821516.82%1442122.190113200001161145.24%423417200.7100000200
6Scott ReedyManitoba Moose (WPG)C1945950015144922388.16%323612.4500000011040050.37%135217000.7600000002
7John LeonardManitoba Moose (WPG)LW/RW/D192685202511331096.06%731616.64011114000011055.56%1886000.5100000001
8Christian WolaninManitoba Moose (WPG)D1916770011324922192.04%3546524.49112621000120100.00%0725000.3000000001
9Axel Jonsson-FjallbyManitoba Moose (WPG)LW19246-20055308216.67%41568.21000000000000100.00%1105000.7700000010
10Niko MikkolaManitoba Moose (WPG)D1905568047242014100.00%3445824.12011321000214000.00%0922000.2200000000
11Cole PerfettiManitoba Moose (WPG)C/LW192354001512525253.85%124012.6800000101280025.00%161510000.4200000000
12Michael StoneManitoba Moose (WPG)D1904420025223516120.00%1834017.90000113011011000.00%01719000.2400000000
13Trey Fix-WolanskyManitoba Moose (WPG)RW19314-200052011315.00%41578.3100000000002066.67%352000.5100000000
14Gabriel FortierManitoba Moose (WPG)C/LW19123-200165152116.67%31568.2200000000000057.38%6150000.3800000000
15Jan JenikManitoba Moose (WPG)C/RW192133402511851225.00%623012.1400000000000040.00%533000.2600000000
16Madison BoweyManitoba Moose (WPG)D19022-100253000.00%11156.080000000000000.00%002000.3500000000
17Ethan ProwManitoba Moose (WPG)D19011100398250.00%1721911.560000000000000.00%0112000.0900000000
18Erik BrannstromManitoba Moose (WPG)D19011240112217590.00%2033917.86000113000010000.00%0220000.0600000000
19Brenden KichtonManitoba Moose (WPG)D19000-100000000.00%020.120000000000000.00%000000.00%00000000
20Nicolas PetanManitoba Moose (WPG)C/LW/RW19000000001000.00%0110.590000000017000.00%000000.00%00000000
21Luca SbisaManitoba Moose (WPG)D19000000000000.00%030.200000000001000.00%000000.00%00000000
22Cam DineenManitoba Moose (WPG)D190002206104240.00%721911.570000000000000.00%0110000.00%00000000
23Mattias NorlinderManitoba Moose (WPG)D19000-100254010.00%71156.080000000000000.00%002000.00%00000000
24Tyler MaddenManitoba Moose (WPG)C/LW/RW19000000100000.00%030.170000000000000.00%100000.00%00000000
25Callan FooteManitoba Moose (WPG)D19000000000000.00%070.380000000006000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne4755386139394003713277642514096.94%232568011.966101632177123812711448.91%1329246196300.4900000689
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
1Nico DawsManitoba Moose (WPG)1911800.9412.2111384042706306240.00%0190441
Statistiques d’équipe totales ou en moyenne1911800.9412.2111384042706306240190441


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander ChmelevskiManitoba Moose (WPG)C/RW246/9/1999Yes180 Lbs6 ft0NoNoNoNo1Pro & Farm778,333$0$0$No
Axel Jonsson-FjallbyManitoba Moose (WPG)LW252/10/1998Yes189 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brenden KichtonManitoba Moose (WPG)D3010/31/1992 8:29:26 AMNo185 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$0$0$No
Callan FooteManitoba Moose (WPG)D2412/13/1998Yes220 Lbs6 ft4NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Cam DineenManitoba Moose (WPG)D256/19/1998Yes188 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Christian WolaninManitoba Moose (WPG)D283/17/1995No190 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Cole PerfettiManitoba Moose (WPG)C/LW211/1/2002Yes177 Lbs5 ft11NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien NHL
David KrejciManitoba Moose (WPG)C374/28/1986No188 Lbs6 ft0NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Eric ComrieManitoba Moose (WPG)G277/6/1995No175 Lbs6 ft1NoNoNoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$Lien / Lien NHL
Erik BrannstromManitoba Moose (WPG)D239/2/1999No185 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Ethan ProwManitoba Moose (WPG)D3011/17/1992No182 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Filip ChytilManitoba Moose (WPG)C/LW239/5/1999No210 Lbs6 ft3NoNoNoNo1Pro & Farm2,300,000$0$0$NoLien / Lien NHL
Gabriel FortierManitoba Moose (WPG)C/LW232/6/2000Yes173 Lbs5 ft10NoNoNoNo5Pro & Farm781,667$0$0$No781,667$781,667$781,667$781,667$Lien
Ivan ChekhovichManitoba Moose (WPG)C/LW241/4/1999Yes185 Lbs5 ft10NoNoNoNo1Pro & Farm776,667$0$0$NoLien
Jan JenikManitoba Moose (WPG)C/RW229/15/2000Yes185 Lbs6 ft1NoNoNoNo1Pro & Farm795,000$0$0$NoLien
Jason DickinsonManitoba Moose (WPG)C/LW277/4/1995No200 Lbs6 ft2NoNoNoNo3Pro & Farm2,650,000$0$0$No2,650,000$2,650,000$Lien / Lien NHL
John LeonardManitoba Moose (WPG)LW/RW/D248/7/1998Yes196 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kole LindManitoba Moose (WPG)C/LW2410/16/1998Yes178 Lbs6 ft1NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Luca SbisaManitoba Moose (WPG)D331/30/1990No206 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Madison BoweyManitoba Moose (WPG)D284/22/1995No202 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Marek MazanecManitoba Moose (WPG)G317/18/1991No187 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Mattias NorlinderManitoba Moose (WPG)D234/12/2000Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$Lien
Michael StoneManitoba Moose (WPG)D336/7/1990No210 Lbs6 ft3NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Nico DawsManitoba Moose (WPG)G2212/22/2000Yes205 Lbs6 ft4NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Nicolas PetanManitoba Moose (WPG)C/LW/RW283/22/1995No172 Lbs4 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Niko MikkolaManitoba Moose (WPG)D274/27/1996Yes209 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Noel GunlerManitoba Moose (WPG)LW2110/7/2001Yes176 Lbs6 ft2NoNoNoNo6Pro & Farm862,500$0$0$No862,500$862,500$862,500$862,500$862,500$Lien
Scott ReedyManitoba Moose (WPG)C244/4/1999Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm852,500$0$0$No852,500$852,500$Lien
Spencer MartinManitoba Moose (WPG)G286/8/1995 3:16:51 AMNo210 Lbs6 ft3NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Trent FredericManitoba Moose (WPG)C/LW252/11/1998No216 Lbs6 ft3NoNoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
Trey Fix-WolanskyManitoba Moose (WPG)RW245/26/1999Yes186 Lbs5 ft7NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Tyler BozakManitoba Moose (WPG)C/RW373/19/1986No187 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Tyler MaddenManitoba Moose (WPG)C/LW/RW2311/9/1999Yes170 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$0$0$NoLien
Vasily PonomarevManitoba Moose (WPG)C207/16/2002 2:46:56 AMYes180 Lbs5 ft10NoNoNoNo5Pro & Farm795,000$0$0$No795,000$795,000$795,000$795,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3426.12191 Lbs6 ft02.09906,495$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kole LindTrent FredericTyler Bozak40122
2Filip ChytilJason DickinsonJohn Leonard30122
3Cole PerfettiScott ReedyJan Jenik20122
4Axel Jonsson-FjallbyGabriel FortierTrey Fix-Wolansky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninNiko Mikkola40122
2Michael StoneErik Brannstrom30122
3Cam DineenEthan Prow20122
4Mattias NorlinderMadison Bowey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kole LindTrent FredericTyler Bozak60122
2Filip ChytilJason DickinsonJohn Leonard40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninNiko Mikkola60122
2Michael StoneErik Brannstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericKole Lind60122
2Jason DickinsonScott Reedy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninNiko Mikkola60122
2Michael StoneErik Brannstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Christian WolaninNiko Mikkola60122
2Kole Lind40122Michael StoneErik Brannstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericKole Lind60122
2Jason DickinsonScott Reedy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninNiko Mikkola60122
2Michael StoneErik Brannstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kole LindTrent FredericTyler BozakChristian WolaninNiko Mikkola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kole LindTrent FredericTyler BozakChristian WolaninNiko Mikkola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Madden, Nicolas Petan, Cole PerfettiTyler Madden, Nicolas PetanCole Perfetti
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brenden Kichton, Callan Foote, Luca SbisaBrenden KichtonCallan Foote, Luca Sbisa
Tirs de pénalité
Trent Frederic, Kole Lind, Jason Dickinson, Scott Reedy, Filip Chytil
Gardien
#1 : Nico Daws, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Trent Frederic, Kole Lind, Jason Dickinson, Scott Reedy, Filip Chytil, Cole Perfetti, Cole Perfetti, Tyler Bozak, Axel Jonsson-Fjallby, John Leonard, Jan Jenik
Lignes de défense personnalisées en prolongation
Christian Wolanin, Niko Mikkola, Michael Stone, Erik Brannstrom, Cam Dineen


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
1Hartford Wolf Pack734000001719-23120000089-142200000910-160.429173047305262022702242932425286102161254125.00%8187.50%126154148.24%25551649.42%13427249.26%422258386161333166
2Tuscon Roadrunners74300000211654310000015873120000068-280.571213354105262023052242932425227711816413430.77%9544.44%026154148.24%25551649.42%13427249.26%422258386161333166
3Wilkes-Barre/Scranton Penguins5410000015114220000007433210000087180.8001523380052620218922429324251975910824125.00%5180.00%026154148.24%25551649.42%13427249.26%422258386161333166
Total19118000005346796300000302191055000002325-2220.57953861394052620276422429324257102324437121628.57%22768.18%126154148.24%25551649.42%13427249.26%422258386161333166
_Since Last GM Reset19118000005346796300000302191055000002325-2220.57953861394052620276422429324257102324437121628.57%22768.18%126154148.24%25551649.42%13427249.26%422258386161333166
_Vs Conference19118000005346796300000302191055000002325-2220.57953861394052620276422429324257102324437121628.57%22768.18%126154148.24%25551649.42%13427249.26%422258386161333166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1922L253861397647102324437140
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1911800005346
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96300003021
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105500002325
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
21628.57%22768.18%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
2242932425526202
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
26154148.24%25551649.42%13427249.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
422258386161333166


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
1 - 2023-03-043Tuscon Roadrunners2Manitoba Moose6BWSommaire du match
2 - 2023-03-0511Tuscon Roadrunners3Manitoba Moose2BLSommaire du match
3 - 2023-03-0619Manitoba Moose3Tuscon Roadrunners2AWXSommaire du match
4 - 2023-03-0727Manitoba Moose2Tuscon Roadrunners3ALSommaire du match
5 - 2023-03-0835Tuscon Roadrunners2Manitoba Moose4BWSommaire du match
6 - 2023-03-0943Manitoba Moose1Tuscon Roadrunners3ALSommaire du match
7 - 2023-03-1051Tuscon Roadrunners1Manitoba Moose3BWSommaire du match
8 - 2023-03-1158Manitoba Moose3Wilkes-Barre/Scranton Penguins1AWSommaire du match
9 - 2023-03-1262Manitoba Moose1Wilkes-Barre/Scranton Penguins4ALSommaire du match
10 - 2023-03-1366Wilkes-Barre/Scranton Penguins2Manitoba Moose3BWSommaire du match
11 - 2023-03-1470Wilkes-Barre/Scranton Penguins2Manitoba Moose4BWSommaire du match
12 - 2023-03-1574Manitoba Moose4Wilkes-Barre/Scranton Penguins2AWSommaire du match
15 - 2023-03-1885Manitoba Moose2Hartford Wolf Pack1AWXSommaire du match
16 - 2023-03-1987Manitoba Moose2Hartford Wolf Pack4ALSommaire du match
17 - 2023-03-2089Hartford Wolf Pack2Manitoba Moose4BWSommaire du match
18 - 2023-03-2191Hartford Wolf Pack4Manitoba Moose3BLSommaire du match
19 - 2023-03-2293Manitoba Moose4Hartford Wolf Pack2AWSommaire du match
20 - 2023-03-2395Hartford Wolf Pack3Manitoba Moose1BLSommaire du match
21 - 2023-03-2497Manitoba Moose1Hartford Wolf Pack3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3919
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,082,084$ 3,082,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Manitoba Moose 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 Moose 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 Moose 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 Moose 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 Moose 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