Moose
GP: 82 | W: 41 | L: 33 | OTL: 8 | P: 90
GF: 284 | GA: 293 | PP%: 22.46% | PK%: 80.30%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Phantoms
49-27-6, 104pts
6
FINAL
7 Moose
41-33-8, 90pts
Team Stats
W1StreakW5
25-11-5Home Record21-15-5
24-16-1Away Record20-18-3
5-3-2Last 10 Games7-3-0
3.85Buts par match 3.46
3.44Buts contre par match 3.57
23.83%Pourcentage en avantage numérique22.46%
78.08%Pourcentage en désavantage numérique80.30%
Heat
39-37-6, 84pts
3
FINAL
5 Moose
41-33-8, 90pts
Team Stats
L1StreakW5
23-16-2Home Record21-15-5
16-21-4Away Record20-18-3
4-5-1Last 10 Games7-3-0
3.44Buts par match 3.46
3.65Buts contre par match 3.57
22.62%Pourcentage en avantage numérique22.46%
79.52%Pourcentage en désavantage numérique80.30%
Meneurs d'équipe
Dustin TokarskiVictoires
Dustin Tokarski
40
Dustin TokarskiPourcentage d’arrêts
Dustin Tokarski
0.91

Statistiques d’équipe
Buts pour
284
3.46 GFG
Tirs pour
2855
34.82 Avg
Pourcentage en avantage numérique
22.5%
53 GF
Début de zone offensive
38.9%
Buts contre
293
3.57 GAA
Tirs contre
3192
38.93 Avg
Pourcentage en désavantage numérique
80.3%
52 GA
Début de la zone défensive
43.1%
Information d’équipe

Directeur généralSam Vienneau
EntraîneurBrad Shaw
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,969
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure21
Limite contact 57 / 80
Espoirs13


Historique d'équipe

Saison actuelle41-33-8 (90PTS)
Historique1001-591-154 (0.573%)
Apparitions séries éliminatoires 14
Historique séries éliminatoires (W-L)90-73
Stanley Cup2


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
1Lane Pederson0X100.008335956672807167756564626667630756502431,071,000$
2Andy Miele0X100.00615272636188936477686156628273075640332700,000$
3Brian Pinho0X100.00543595627571756476616362647166075630263925,000$
4Max Jones0X100.00837178638172766455616357626564075630231825,000$
5Chris Stewart0X100.00835966568973675855596157568474075620342700,000$
6Chris Conner0X100.00543593576485875853615955588777075620382700,000$
7Pascal Laberge0X100.00633986637280736254586156636567075620231700,000$
8Corey Tropp0X100.00646454627370756163625456538072075610322700,000$
9Ryan Suzuki (R)0X100.00613593627072776057596156625963075610203925,000$
10Zayde Wisdom (R)0X100.00625866637174796175626058615961075610193925,000$
11Emilio Pettersen (R)0X100.00573592586675835870595855586163075600213925,000$
12Chris McCarthy0X100.00693888547873785667585557527868075600302700,000$
13Maxwell Willman0X100.00623883567168735770585956587166075600262700,000$
14Keaton Middleton0X100.00616066599970715930595662486563075610232700,000$
15Ben Youds0X100.00635272566874715930635158458273075600332700,000$
Rayé
1Alexander True0X70.90763987658981856476666163666769075650241750,000$
2Dave Gust0X100.00563986596575805861565753567367075600272700,000$
3Colton Beck0X100.00613592577173785458565553547971075600312700,000$
4Joshua Ho-Sang0X100.00603593596960655966635756586965075600252900,000$
5Carter Bancks0X100.00594680576983885852555654577872075600322700,000$
6Brad McClure0XXX100.00584283556781865352545557537568075590282700,000$
7Brandon Biro (R)0X100.00574283566671675855575654586563075580233925,000$
8Christopher Brown0X100.00613986557180755362555452566964075580252700,000$
9Matthew Boudens0X100.00625372547174695262545352557568075570282700,000$
10Jan Mysak (R)0X100.00583593526768735153505451535959075560193925,000$
11Kevin Bahl (R)0X85.60817893629880736130655754526163075630213925,000$
12Dylan Samberg (R)0X100.00837186628178835830565261456362075610223925,000$
13Guillaume Brisebois0X100.00503595607572705930595664486764075600243954,000$
14Nolan Valleau0X100.00643986557377725430535255457769075590293925,000$
15Michael Prapavessis0X100.00683593537770685230515354456965075580252700,000$
16Vladislav Kolyachonok (R)0X100.00673593547663675330565154456062075580203925,000$
17Arvin Atwal0X100.00585273527469725430515053457166075560262700,000$
MOYENNE D’ÉQUIPE98.6464468458747476585458575655706707560
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
1Dustin Tokarski100.0076828174757476757476758086075670322700,000$
2Sam Montembeault100.0074858983737274737274736973075650251708,750$
Rayé
1Aaron Dell100.00798682767877797877797880860756803222,200,000$
2Alex Dubeau100.0067777370666567666567667377075610272700,000$
MOYENNE D’ÉQUIPE100.007483817673727473727473768107565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Shaw64706172847863CAN562900,000$


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
1Max JonesMoose (WPG)LW82324173-136803061603701122788.65%29177121.61514195920601151397243.50%17700000.8235000269
2Brian PinhoMoose (WPG)C823532679120492092758121412.73%38143717.546612471440006865254.26%178400020.9323000252
3Corey TroppMoose (WPG)RW8220416115802461142004913110.00%45130315.903692091000003256.98%8600000.9400000244
4Alexander TrueMoose (WPG)C402727544320961391716013415.79%1276419.1291120301101123715258.24%104400011.4101000424
5Kevin BahlMoose (WPG)D80143448-118603219114650919.59%167196624.585611772060002198110.00%000000.4900000333
6Chris ConnerMoose (WPG)RW60222143-816034811774913212.43%16115019.17681431142101271048.24%8500110.7501000501
7Ryan SuzukiMoose (WPG)C72201939106051891513612713.25%1977610.79112240000102145.05%38400001.0000000213
8Keaton MiddletonMoose (WPG)D5863238-4340144588426627.14%65105918.2737103392000185100.00%000000.7200000011
9Andy MieleMoose (WPG)C3692635-614032152123471197.32%1280222.28279238200041141158.93%106900000.8702000110
10Pascal LabergeMoose (WPG)C73181634-3200761231605012611.25%3498913.55011250000440143.11%83500000.6901000042
11Dylan SambergMoose (WPG)D5852631-16860215779028855.56%112126421.80156291350002118110.00%000000.4900000121
12Guillaume BriseboisMoose (WPG)D5852530-98022666226458.06%71105318.1727925680110107100.00%000000.5700000120
13Lane PedersonMoose (WPG)C38131629-420093142168461227.74%1381421.44426327900031110056.26%118200000.7113000412
14Zayde WisdomMoose (WPG)C7352328220075578023556.25%436779.2800001000010047.54%12200000.8301000110
15Ben YoudsMoose (WPG)D3552025-6180904133143315.15%4166819.091561355000058120.00%000000.7500000301
16Emilio PettersenMoose (WPG)LW44101525-260114710424669.62%474416.9302211730000161052.73%5500000.6700000010
17Chris StewartMoose (WPG)RW2131114-216058183514368.57%329714.17123851000050048.84%4300000.9400000010
18Maxwell WillmanMoose (WPG)LW2267138100372558163610.34%1239818.12123750000001142.42%3300000.6500000010
19Dave GustMoose (WPG)RW585611740101342153511.90%41893.26000130001140050.00%1600001.1600000000
20Colton BeckMoose (WPG)LW20167-2201092712183.70%330615.30000150001160024.00%2500000.4600000000
21Chris McCarthyMoose (WPG)C251231005971914.29%1662.6601104000080060.00%3000000.9000000001
22Brandon BiroMoose (WPG)LW3011220127020.00%05418.2800009000000025.00%400000.3600000000
23Jan MysakMoose (WPG)C7011-320238130.00%07510.8400000000000050.00%800000.2600000000
24Joshua Ho-SangMoose (WPG)RW3000000000000.00%000.060000000000000.00%000000.0000000000
25Carter BancksMoose (WPG)RW27000-200105110.00%0250.960001100000000.00%300000.0000000000
26Vladislav KolyachonokMoose (WPG)D70002401434230.00%310515.050000000012000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1164262448710-455440199917282587783196310.13%7471876616.1250931434521629235311220311653.40%698500140.76617000313634
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
1Dustin TokarskiMoose (WPG)82403280.9103.4747508327530680430.79224820674
2Sam MontembeaultMoose (WPG)51100.8933.5821800131210100.0000081000
Statistiques d’équipe totales ou en moyenne87413380.9103.4849688328831890530.792248281674


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 Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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 10Link
Aaron DellMoose (WPG)G325/4/1989No209 Lbs6 ft0NoNoYes2Pro & Farm2,200,000$12,155$1,837,500$10,152$0$0$No2,200,000$Lien / Lien NHL
Alex DubeauMoose (WPG)G271/7/1994No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Alexander True (sur la masse salariale)Moose (WPG)C247/17/1997No200 Lbs6 ft5NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$YesLien / Lien NHL
Andy MieleMoose (WPG)C334/15/1988No169 Lbs5 ft7NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Arvin AtwalMoose (WPG)D2611/26/1995No196 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Ben YoudsMoose (WPG)D334/20/1988No180 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Brad McClureMoose (WPG)C/LW/RW288/13/1993No174 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Brandon BiroMoose (WPG)LW233/11/1998Yes167 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Brian PinhoMoose (WPG)C265/11/1995No190 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien / Lien NHL
Carter BancksMoose (WPG)RW328/9/1989No181 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Chris ConnerMoose (WPG)RW3812/23/1983No181 Lbs5 ft7NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Chris McCarthyMoose (WPG)C307/30/1991No205 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Chris StewartMoose (WPG)RW3410/30/1987No242 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Christopher BrownMoose (WPG)C252/22/1996No179 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Colton BeckMoose (WPG)LW316/10/1990No187 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Corey TroppMoose (WPG)RW327/25/1989No192 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Dave GustMoose (WPG)RW272/21/1994No174 Lbs5 ft10NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Dustin TokarskiMoose (WPG)G329/16/1989No198 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Dylan SambergMoose (WPG)D221/24/1999Yes190 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Emilio PettersenMoose (WPG)LW214/3/2000Yes170 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$
Guillaume BriseboisMoose (WPG)D247/21/1997No175 Lbs6 ft2NoNoNo3Pro & Farm954,000$5,271$954,000$5,271$0$0$No954,000$954,000$Lien / Lien NHL
Jan MysakMoose (WPG)C196/4/2002Yes175 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Joshua Ho-SangMoose (WPG)RW251/22/1996No173 Lbs6 ft0NoNoNo2Pro & Farm900,000$4,972$906,250$5,007$0$0$No900,000$Lien / Lien NHL
Keaton MiddletonMoose (WPG)D232/10/1998No240 Lbs6 ft6NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Kevin Bahl (sur la masse salariale)Moose (WPG)D216/27/2000Yes230 Lbs6 ft6NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$Yes925,000$925,000$
Lane PedersonMoose (WPG)C248/4/1997No190 Lbs6 ft0NoNoNo3Pro & Farm1,071,000$5,917$1,071,000$5,917$0$0$No1,071,000$1,071,000$Lien / Lien NHL
Matthew BoudensMoose (WPG)C289/13/1993No195 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Max JonesMoose (WPG)LW232/17/1998No220 Lbs6 ft1NoNoNo1Pro & Farm825,000$4,558$700,000$3,867$0$0$NoLien / Lien NHL
Maxwell WillmanMoose (WPG)LW262/13/1995No184 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Michael PrapavessisMoose (WPG)D251/7/1996No185 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Nolan ValleauMoose (WPG)D2911/15/1992No180 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien / Lien NHL
Pascal LabergeMoose (WPG)C234/9/1998No172 Lbs6 ft1NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Ryan SuzukiMoose (WPG)C205/28/2001Yes176 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Sam MontembeaultMoose (WPG)G2510/30/1996No199 Lbs6 ft3NoNoNo1Pro & Farm708,750$3,916$708,750$3,916$0$0$NoLien / Lien NHL
Vladislav KolyachonokMoose (WPG)D205/26/2001Yes193 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Zayde WisdomMoose (WPG)C197/7/2002Yes195 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3626.39190 Lbs6 ft02.22832,188$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesAndy MieleChris Conner40122
2Maxwell WillmanRyan Suzuki30122
3Emilio PettersenLane PedersonCorey Tropp20122
4Zayde WisdomBrian PinhoChris Stewart10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Keaton MiddletonBen Youds30122
3Brian PinhoPascal Laberge20122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesLane PedersonChris Conner60122
2Maxwell WillmanChris Stewart40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Keaton MiddletonBen Youds40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lane Pederson60122
2Andy MieleBrian Pinho40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Keaton MiddletonBen Youds40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lane Pederson6012260122
240122Keaton MiddletonBen Youds40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lane Pederson60122
2Andy MieleBrian Pinho40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Keaton MiddletonBen Youds40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesLane PedersonChris Conner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesLane PedersonChris Conner
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zayde Wisdom, Ryan Suzuki, Chris McCarthyZayde Wisdom, Ryan SuzukiChris McCarthy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Keaton Middleton, Ben Youds, Keaton MiddletonBen Youds,
Tirs de pénalité
Lane Pederson, , Andy Miele, Brian Pinho, Max Jones
Gardien
#1 : Dustin Tokarski, #2 : Sam Montembeault
Lignes d’attaque personnalisées en prolongation
Lane Pederson, , Andy Miele, Brian Pinho, Max Jones, Chris Conner, Chris Conner, Chris Stewart, Pascal Laberge, Zayde Wisdom, Corey Tropp
Lignes de défense personnalisées en prolongation
, , Keaton Middleton, Ben Youds,


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
1Admirals30300000819-111010000036-320200000513-800.000813210088106801490921928968611322710788112.50%5260.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
2Americans2110000057-21010000005-51100000052320.5005914008810680143892192896861762810444125.00%4175.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
3Barracuda31200000717-101010000003-321100000714-720.333712190088106801490921928968611404224839111.11%11281.82%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
4Bears2020000048-41010000034-11010000014-300.0004711008810680145192192896861762410522150.00%50100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
5Bruins21000100761110000004221000010034-130.750713200088106801462921928968618121145110220.00%7185.71%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
6Checkers21100000910-1110000005231010000048-420.50091726008810680148292192896861862712574250.00%6350.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
7Comets312000001014-4110000006512020000049-520.3331017270088106801410792192896861136261896500.00%70100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
8Condors3020010048-42010010035-21010000013-210.16748120088106801476921928968611083624827228.57%12191.67%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
9Crunch21100000972110000007341010000024-220.5009182700881068014959219289686173231053500.00%50100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
10Devils220000001477110000007251100000075241.0001423370088106801410592192896861622116379444.44%8362.50%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
11Eagles421001001916321000100761211000001210250.6251934530088106801412292192896861191482811713323.08%12283.33%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
12Firebirds30200001311-82010000137-41010000004-410.16735800881068014108921928968611364522748112.50%10190.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
13Griffins211000008621010000034-11100000052320.50081321008810680147192192896861571716547114.29%80100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
14Gulls3000110189-11000000134-12000110055040.667813210088106801494921928968611002126769222.22%12191.67%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
15Heat321000001275110000005322110000074340.6671219310188106801493921928968619130267412216.67%13376.92%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
16IceHogs3100101013103210000109721000100043161.0001320330088106801499921928968611233718626350.00%8275.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
17Marlies21100000880110000005321010000035-220.50081321108810680148492192896861763112595120.00%6183.33%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
18Monsters22000000743110000004221100000032141.0007132000881068014589219289686180174614125.00%20100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
19Penguins2100010010731000010056-11100000051430.7501017270088106801410092192896861841920438112.50%10370.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
20Phantoms2100100013112110000007611000100065141.000132235008810680148492192896861631610614125.00%4175.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
21Reign3020001089-1201000107701010000012-120.33381220008810680141029219289686110742246511218.18%12650.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
22Roadrunners412000101514120100010910-12110000064240.50015254010881068014173921928968611514438999222.22%18383.33%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
23Rocket211000007611010000024-21100000052320.50071320108810680148392192896861812610499333.33%5260.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
24Senators22000000734110000004221100000031241.0007132000881068014669219289686197228506116.67%40100.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
25Silver Knights3200100016882100100011651100000052361.00016284400881068014132921928968611233020807342.86%8275.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
26Sound Tigers22000000945110000005231100000042241.00091625008810680147392192896861792314574250.00%5180.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
27Stars412000101011-1211000006332010001048-440.500101727018810680141319219289686113238249814214.29%11190.91%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
28Thunderbirds412001001218-62110000046-220100100812-430.375122032008810680141239219289686114846341011119.09%17382.35%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
29Wild40301000915-62020000027-52010100078-120.2509162500881068014134921928968611573428988225.00%14285.71%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
30Wolf Pack21000010752100000104311100000032141.0007916008810680146092192896861702216529333.33%8275.00%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
31Wolves2110000068-21010000037-41100000031220.50061016008810680146992192896861762418479222.22%7357.14%01472292750.29%1559324348.07%695136350.99%1915133020255891037511
Total82313305652284293-941161501342146142441151804310138151-13900.54928448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
_Since Last GM Reset82313305652284293-941161501342146142441151804310138151-13900.54928448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
_Vs Conference46142004431147165-1823710012217076-623710032107789-12470.51114724839502881068014148492192896861176548932411761352820.74%1523080.26%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
_Vs Division256100211074100-261336000103442-81234021004058-18190.3807412519901881068014807921928968611019275164628681319.12%771383.12%11472292750.29%1559324348.07%695136350.99%1915133020255891037511

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W528448576928553192907564211032
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8231335652284293
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116151342146142
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115184310138151
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2365322.46%2645280.30%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
92192896861881068014
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
1472292750.29%1559324348.07%695136350.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1915133020255891037511


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
2 - 2021-10-135Moose3Gulls4ALXSommaire du match
5 - 2021-10-1631Moose6Barracuda5AWSommaire du match
8 - 2021-10-1948Moose3Wild5ALSommaire du match
10 - 2021-10-2159Gulls4Moose3BLXXSommaire du match
12 - 2021-10-2369Admirals6Moose3BLSommaire du match
15 - 2021-10-2695Moose2Gulls1AWXSommaire du match
17 - 2021-10-28109Moose1Reign2ALSommaire du match
19 - 2021-10-30119Moose1Barracuda9ALSommaire du match
22 - 2021-11-02139Stars0Moose4BWSommaire du match
25 - 2021-11-05157IceHogs4Moose5BWXXSommaire du match
26 - 2021-11-06164Sound Tigers2Moose5BWSommaire du match
29 - 2021-11-09187Thunderbirds4Moose1BLSommaire du match
31 - 2021-11-11202Barracuda3Moose0BLSommaire du match
33 - 2021-11-13212Reign4Moose3BLSommaire du match
36 - 2021-11-16240Condors1Moose0BLSommaire du match
38 - 2021-11-18255Moose1Condors3ALSommaire du match
39 - 2021-11-19259Moose3Comets4ALSommaire du match
42 - 2021-11-22285Penguins6Moose5BLXSommaire du match
44 - 2021-11-24295Moose3Monsters2AWSommaire du match
46 - 2021-11-26305Moose4Wild3AWXSommaire du match
47 - 2021-11-27325Moose4Heat0AWSommaire du match
49 - 2021-11-29334Roadrunners4Moose5BWXXSommaire du match
53 - 2021-12-03363Devils2Moose7BWSommaire du match
55 - 2021-12-05379Marlies3Moose5BWSommaire du match
57 - 2021-12-07394Wolves7Moose3BLSommaire du match
59 - 2021-12-09409Moose0Firebirds4ALSommaire du match
60 - 2021-12-10417Moose1Comets5ALSommaire du match
64 - 2021-12-14445Americans5Moose0BLSommaire du match
67 - 2021-12-17468Bears4Moose3BLSommaire du match
69 - 2021-12-19482Thunderbirds2Moose3BWSommaire du match
71 - 2021-12-21498Moose1Admirals8ALSommaire du match
72 - 2021-12-22506Moose3Stars2AWXXSommaire du match
77 - 2021-12-27532Wild4Moose0BLSommaire du match
79 - 2021-12-29544IceHogs3Moose4BWSommaire du match
81 - 2021-12-31565Moose3Heat4ALSommaire du match
83 - 2022-01-02580Moose5Silver Knights2AWSommaire du match
85 - 2022-01-04592Moose1Roadrunners3ALSommaire du match
87 - 2022-01-06606Moose3Eagles7ALSommaire du match
89 - 2022-01-08616Firebirds1Moose0BLXXSommaire du match
91 - 2022-01-10633Wild3Moose2BLSommaire du match
94 - 2022-01-13653Moose5Griffins2AWSommaire du match
96 - 2022-01-15671Senators2Moose4BWSommaire du match
97 - 2022-01-16681Condors4Moose3BLXSommaire du match
99 - 2022-01-18695Moose1Bears4ALSommaire du match
101 - 2022-01-20708Moose4Admirals5ALSommaire du match
103 - 2022-01-22722Moose3Bruins4ALXSommaire du match
104 - 2022-01-23732Moose5Penguins1AWSommaire du match
106 - 2022-01-25749Checkers2Moose5BWSommaire du match
108 - 2022-01-27765Comets5Moose6BWSommaire du match
110 - 2022-01-29775Moose2Thunderbirds5ALSommaire du match
113 - 2022-02-01800Moose6Phantoms5AWXSommaire du match
115 - 2022-02-03811Moose1Stars6ALSommaire du match
117 - 2022-02-05826Moose9Eagles3AWSommaire du match
119 - 2022-02-07842Moose5Roadrunners1AWSommaire du match
121 - 2022-02-09856Rocket4Moose2BLSommaire du match
124 - 2022-02-12878Stars3Moose2BLSommaire du match
126 - 2022-02-14894Wolf Pack3Moose4BWXXSommaire du match
128 - 2022-02-16909Crunch3Moose7BWSommaire du match
130 - 2022-02-18921Moose7Devils5AWSommaire du match
131 - 2022-02-19930Moose4Sound Tigers2AWSommaire du match
133 - 2022-02-21946Moose6Thunderbirds7ALXSommaire du match
135 - 2022-02-23958Silver Knights2Moose6BWSommaire du match
138 - 2022-02-26979Bruins2Moose4BWSommaire du match
140 - 2022-02-28998Moose4IceHogs3AWXSommaire du match
142 - 2022-03-021010Silver Knights4Moose5BWXSommaire du match
145 - 2022-03-051030Monsters2Moose4BWSommaire du match
147 - 2022-03-071051Roadrunners6Moose4BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-03-101068Moose5Americans2AWSommaire du match
151 - 2022-03-111075Moose3Marlies5ALSommaire du match
153 - 2022-03-131092Reign3Moose4BWXXSommaire du match
157 - 2022-03-171123Griffins4Moose3BLSommaire du match
159 - 2022-03-191141Eagles3Moose2BLXSommaire du match
161 - 2022-03-211160Moose3Senators1AWSommaire du match
162 - 2022-03-221162Moose5Rocket2AWSommaire du match
164 - 2022-03-241179Firebirds6Moose3BLSommaire du match
166 - 2022-03-261194Moose4Checkers8ALSommaire du match
167 - 2022-03-271202Moose2Crunch4ALSommaire du match
170 - 2022-03-301222Moose3Wolf Pack2AWSommaire du match
172 - 2022-04-011236Moose3Wolves1AWSommaire du match
175 - 2022-04-041265Eagles3Moose5BWSommaire du match
178 - 2022-04-071285Phantoms6Moose7BWSommaire du match
180 - 2022-04-091308Heat3Moose5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,33840,390
Assistance PCT99.19%98.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2969 - 98.97% 80,466$3,299,124$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,665,722$ 2,920,875$ 2,442,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,626$ 2,758,813$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 21,110$ 21,110$




Moose Leaders statistiques (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
1Andrew Agozzino54618929047970344953992154012.27%181876416.05488413220730321391349.93%31.091035
2Andrew Gordon61018523141670162888746177610.42%198939115.4044691131722137241340.27%20.89624
3Zach Hamill514161241402551078731043152510.56%227904917.612553781135271328851.06%00.89925
4Matt Fraser31416119235343201498469142611.29%145627920.0047601071683148311349.25%11.121036
5Zac Rinaldo7531322083401021177213287413879.52%1731145615.2117385512102214221545.92%00.5936

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
1Petr Mrazek31019975280.9172.681818127781297813832840.667105
2Michael Leighton1339326140.9212.57798710434243282174930.73256
3Keith Kinkaid83601840.9182.05497510617020680200.80020
4Martin Jones6552660.9301.86393201112217510200.79143
5Daren Machesney97523370.9112.84558510726429601158410.63330

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
Saison régulière
580313702235205208-34011220122298124-26402015010131078423792053445491100449264225906218747482194881102318541944422.68%1963980.10%7716139851.22%725146649.45%585114451.14%150266317849921828920
580343503224279275440151702114149144540191801110130131-184279464743140831048728150899988913253692578122032075526.57%1825072.53%7848162552.18%728143850.63%660131950.04%161678417559481731872
680461802662292224684026602321152104484020120034114012020116292476768040691131022699076410149032172725101022892236026.91%2464780.89%9921171853.61%823159051.76%677127253.22%1642812355519561718845
6803532054222632323140201305200139974240151900222124135-11902634276900110571009923580702801836229679755721912032914.29%1623479.01%4801155051.68%735152248.29%543117146.37%1569742353819051736875
77641210223729523461382110010151501123838201101222145122231012954967910207811696279309489898382448800128520582205223.64%2535279.45%8909173952.27%808159750.59%686131152.33%160883914727451533763
776392606410263204593818130430011610412382113021101471004796263430693150601128425660780951814228374252520092014723.38%1543179.87%9861157054.84%865160653.86%620118252.45%156479714307461583805
87643210324330122378382480113115110051381913021121501232710530150580614072125972931010071028878258982699522172054220.49%2214380.54%4970191350.71%898181649.45%573115549.61%161987715127451474718
9804317074453202477340238042121591154440209032331611322911732051383301088129923175010741078986275189089322662023617.82%1562087.18%41122205754.55%930181451.27%581122047.62%172494816017731544765
1080382207445289231584022110222114310835401611052241461232310728948377232072125813252011641170881266796882023382064722.82%1283076.56%41050207650.58%867176449.15%621119751.88%174895615387631571788
11804417073632912108140181004242143116274026703121148945412029148777823076110923238011081126972259585468723302255926.22%1343276.12%31023205449.81%903176751.10%614122949.96%173895215467821576777
1276461900542299237623824110030014311330382280024215612432107299504803010741171043303011681182946265089187720452276428.19%1253175.20%11031200851.34%862170850.47%626123450.73%168694914617101449722
138032300248426225394016150222313813174016150026112412229226242869000064100883073010071093954282694066321932145827.10%2586176.36%111059200752.77%1004196751.04%617121950.62%170691116027861557768
1480442503044323244794023130102116311746402112020231601273310632354086331081129106329201123114710032854916107423342277332.16%2616674.71%4990203548.65%1018201850.45%627126349.64%174996515777721522747
158039250163627824830402510002121531203340141501424125128-39827845873651065115943264010751178991289893966021792174721.66%2244878.57%31039207850.00%1020205349.68%635121152.44%174296916007661517748
167652110214628915713238246011331367660382850101315381721232895268150501121026926200889839866183459142115542686323.51%1812983.98%11440265154.32%1209218555.33%650115756.18%203914551590535987516
178050905187298160138402740104414479654023504143154817313429852181901201011048028870966939948218560556317292506124.40%2333784.12%31613293854.90%1481265055.89%692125055.36%2097148917575781030530
187651180222127315811538286010211427072382312012001318843113273501774060110798027240967832915187857146214592434920.16%2073384.06%31580272557.98%1240227054.63%660116756.56%201814471603529959497
1982323601364206214-84119170013111210484113190123394110-168520636757335076725120910662715693241170637414752165324.54%1602783.13%11058232545.51%1197274243.65%591130245.39%1881127419946111096544
2082293904244241292-5141151701233124129-541142203011117163-468024143267320083816926180847884855276376275319582736021.98%3095881.23%41476282252.30%1350282947.72%682132651.43%1937132619796111055518
218276603600242458-2164113402400125237-1124163201200117221-104262424597012009082673063099810549954171125260720972133415.96%2728269.85%11136294838.53%1352349938.64%547144837.78%152710352421612984433
2282353402524297300-3412311003221621303241122302202135170-3587297525822230118938233130106311101092340794656120602335322.75%2434780.66%51530314748.62%1559338746.03%668139747.82%1841128521015971021492
2382313305652284293-941161501342146142441151804310138151-139028448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
Total Saison régulière174684259107474858060905302788873439277036394240308825725168734033140383543403002273027221566090103711646129828817792280179863189921207602196019088576001843416155449484903113923.23%456994979.23%97246454831151.01%231334693149.29%138502753750.30%384772281541452180573051815165
Séries éliminatoires
6624000002226-4312000001113-2312000001113-24223658000859224070678525185521756116.67%18383.33%17515648.08%8317148.54%6111353.98%125673684201411355
71046000004449-5523000002025-5523000002424084469113000121516418014014712135913118227920945.00%391269.23%114026153.64%11323348.50%9420146.77%2151212129919089
7624000001919031200000981312000001011-14192948000478194054657522784181575240.00%10370.00%17412957.36%5612744.09%508360.24%116601245511859
8624000001420-632100000111103030000039-641424380004362420876288215808116415320.00%25388.00%08716951.48%7516346.01%469548.42%130721265811055
9734000002831-3413000001219-7321000001612462848760001378293010510385301841011641218.33%12650.00%19217353.18%8418545.41%5913145.04%147861496312360
10117400000363065410000019127633000001718-1143662980007181146101382081154451256127513430.77%17570.59%013030043.33%16228856.25%8617848.31%22212423610220198
1123167000008364191293000004532131174000003832632831402231001925369260327312276960321230588661928.79%451077.78%126158144.92%31663749.61%16835048.00%479265502214415209
12126600000423576420000024159624000001820-212426911100014189557019419714147116216531141921.95%25772.00%019037151.21%15331049.35%9419149.21%284167242111225116
1322166000008374911101000004533121165000003841-332831452280002727258150257279240937326259593561526.79%811581.48%324451147.75%30060349.75%17035747.62%453237494219425211
1411650000041374633000002120153200000201731241701111001013174640185142133463131116302311238.71%39879.49%112729343.34%15330350.50%8017246.51%24213722510219998
15624000002023-330300000814-6321000001293420345400037928008110881194581818915213.33%9366.67%09118250.00%5512045.83%459945.45%139801155511556
1610640000026188541000001257523000001413112264975030166331109210589228696621431722.58%31487.10%018533155.89%17529359.73%8115253.29%2651862327713870
17945000003427753200000231211413000001115-483464980106171031609310288334989922835720.00%39976.92%115934046.76%19837852.38%8215752.23%2381632447412865
182414100000059518137600000292721174000003024628591071660602119197100219223267680194164434681014.71%72987.50%245680956.37%43477356.14%18733755.49%579403566172300150
Total Séries éliminatoires1639073000005515044784513300000289246437939400000026225841805519461497210016418718662110204221201884606519481612407341410124.40%4629779.00%122311460650.17%2357458451.42%1303261649.81%364021747157342228061397

Moose Leaders statistiques (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
1Matt Fraser66443680184210410331014.19%37131619.951611274101137554.11%01.2200
2Andrew Gordon9626548019231571293357.76%44165417.23417212700054134.65%10.9700
3Zach Hamill842346696261161622369.75%37149817.84310131500011247.63%00.9200
4Andrew Agozzino9419436215631561572148.88%44144315.35315181700043048.76%00.8600
5Benn Ferriero8532286002714410629011.03%28149817.6362812000110143.41%00.8000

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
1Petr Mrazek57332040.9212.863403431622044962010.0000
2Michael Leighton3423920.9342.71205720931404717010.0000
3Keith Kinkaid27141020.9262.14153906557400100.0000
4Martin Jones84210.9082.8945701222400000.0000
5Matt Climie104300.8485.514250039257123100.0000