Moose
GP: 73 | W: 27 | L: 41 | OTL: 5 | P: 59
GF: 245 | GA: 285 | PP%: 20.00% | PK%: 76.23%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #1172 vs Comets
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Centre de jeu
Bears
39-26-7, 85pts
4
FINAL
1 Moose
27-41-5, 59pts
Team Stats
L1StreakL12
22-12-3Home Record14-20-3
17-14-4Away Record13-21-2
4-4-2Last 10 Games0-10-0
3.51Buts par match 3.36
3.43Buts contre par match 3.90
23.28%Pourcentage en avantage numérique20.00%
77.73%Pourcentage en désavantage numérique76.23%
Devils
37-29-9, 83pts
6
FINAL
4 Moose
27-41-5, 59pts
Team Stats
W3StreakL12
17-15-3Home Record14-20-3
20-14-6Away Record13-21-2
7-2-1Last 10 Games0-10-0
3.27Buts par match 3.36
3.32Buts contre par match 3.90
20.94%Pourcentage en avantage numérique20.00%
78.32%Pourcentage en désavantage numérique76.23%
Comets
50-18-5, 105pts
2025-03-30
Moose
27-41-5, 59pts
Statistiques d’équipe
W4SéquenceL12
24-8-3Fiche domicile14-20-3
26-10-2Fiche visiteur13-21-2
8-0-210 derniers matchs0-10-0
4.01Buts par match 3.36
3.25Buts contre par match 3.90
22.71%Pourcentage en avantage numérique20.00%
79.15%Pourcentage en désavantage numérique76.23%
Moose
27-41-5, 59pts
2025-04-01
Reign
35-30-8, 78pts
Statistiques d’équipe
L12SéquenceW1
14-20-3Fiche domicile19-9-7
13-21-2Fiche visiteur16-21-1
0-10-010 derniers matchs4-4-2
3.36Buts par match 3.38
3.90Buts contre par match 3.44
20.00%Pourcentage en avantage numérique21.67%
76.23%Pourcentage en désavantage numérique76.73%
Moose
27-41-5, 59pts
2025-04-03
Silver Knights
37-29-7, 81pts
Statistiques d’équipe
L12SéquenceL1
14-20-3Fiche domicile18-15-4
13-21-2Fiche visiteur19-14-3
0-10-010 derniers matchs5-4-1
3.36Buts par match 3.60
3.90Buts contre par match 3.30
20.00%Pourcentage en avantage numérique22.08%
76.23%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Andrew PoturalskiButs
Andrew Poturalski
18
Andrew PoturalskiPasses
Andrew Poturalski
17
Andrew PoturalskiPoints
Andrew Poturalski
35
Andrew PoturalskiPlus/Moins
Andrew Poturalski
5
Aaron DellVictoires
Aaron Dell
27
Michael HouserPourcentage d’arrêts
Michael Houser
0.926

Statistiques d’équipe
Buts pour
245
3.36 GFG
Tirs pour
2286
31.32 Avg
Pourcentage en avantage numérique
20.0%
45 GF
Début de zone offensive
37.9%
Buts contre
285
3.90 GAA
Tirs contre
2673
36.62 Avg
Pourcentage en désavantage numérique
76.2%
58 GA
Début de la zone défensive
42.7%
Information d’équipe

Directeur généralSam Vienneau
EntraîneurMark Recchi
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,972
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs32


Historique d'équipe

Saison actuelle27-41-5 (59PTS)
Historique1114-703-170 (0.561%)
Apparitions séries éliminatoires 15
Historique séries éliminatoires (W-L)97-80
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
SP
Âge
Contrat
Salaire moyen
1Julien Gauthier0X100.00824095699277796457606862676971075670261989,200$
2Max Jones (R)0X100.00785373658780836357646263656869075650262950,000$
3Gerry Mayhew0XX100.00623875616384866065586256617274075620311750,000$
4Brian Pinho0X100.00663795607585835868615759586971075620291750,000$
5Brett Sutter0X100.00653978567478815455535762567782075610371750,000$
6CJ Suess26X100.00613881597076815663575854557072075600301750,000$
7Antonio Stranges (R)0X100.00573695606681735861595756616365075600222950,000$
8Brendan Furry0X100.00683978597775705660585755596668075600261750,000$
9Hayden Hodgson0X100.00775553588269775760565559576870075600283975,000$
10Joseph Abate0X100.00716852578075765658555359546668075590261750,000$
11Jordan Spence (R)0X100.00664189676883856530735963506365075650231950,000$
12Marc Del Gaizo (R)0X100.00693880657085866330665864496567075630241950,000$
13Reilly Walsh (R)0X100.00613787627172845830615657486567075610253975,000$
14William Wallinder (R)0X100.00763995588568725630545257456264075600223950,000$
15Dmitry Osipov0X100.00836864549262735330525159476870075590281750,000$
16Mitch Reinke0X100.00603792576966745630585354466870075590281750,000$
17Kyle Marino0X100.00787359558766815457525356546971075590291750,000$
18Matt Pietroniro0X100.00654365567463765530545357456668075580251750,000$
19Tyson Hinds (R)0X100.00724081558163725430535256456163075580213950,000$
Rayé
1Casey Dornbach0X100.00623895557164615450525351556769075570271750,000$
2Ethan de Jong0X100.00603595566960615552545051536567075570251750,000$
3Zayde Wisdom (R)0X100.00623886557169775458525351556264075570222950,000$
MOYENNE D’ÉQUIPE100.0068448059767377574857565754676907560
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
SP
Âge
Contrat
Salaire moyen
1Aaron Dell100.0075807477747375747375747689075660352838,800$
2Michael Houser100.0067757074666567666567667386075620323975,000$
Rayé
MOYENNE D’ÉQUIPE100.007178727670697170697170758807564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Recchi68636973847863CAN5631,000,000$


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’équipe
POS
GP
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)LW72394483867152151792897624913.49%36172423.95811194219703372225246.31%39300000.9624210591
2Gerry MayhewMoose (WPG)C/RW73283361-17140521892265616812.39%16156721.47312153819620251343249.91%112800100.7814000342
3Brian PinhoMoose (WPG)C7317436048046192206651488.25%14144319.7769153817901141072249.03%185800000.8304000242
4Marc Del GaizoMoose (WPG)D72114455-466018211813347618.27%130157321.855712681700221150000.00%000000.7000000115
5Jordan SpenceMoose (WPG)D7174754645511210112529655.60%92158422.3221517671960004158200.00%000000.6800100032
6Julien GauthierMoose (WPG)RW5227255292401011082134813612.68%16107220.62246137210141261144.08%43100000.9701000353
7Brendan FurryMoose (WPG)LW72183048-1220088871705114210.59%13125417.42581336174000061044.44%9000000.7711000201
8Hayden HodgsonMoose (WPG)RW73162541-1673523098181571328.84%9126317.3135817163000001147.44%7800000.6500100114
9Brett SutterMoose (WPG)C73162238-203601331531584211410.13%16114615.712138790001384043.87%123100000.6602000103
10Andrew PoturalskiJetsC/LW/RW421817355001697127408814.17%1577718.5142613652024682052.47%72800110.9011000321
11CJ SuessMoose (WPG)LW72141327-16804872114318312.28%985011.81000041011390148.21%5600010.6400000101
12Mitch ReinkeMoose (WPG)D6362127-212022464142814.63%7292314.66314948000082100.00%000000.5800000200
13Kyle MarinoMoose (WPG)D6862127-10775150397017358.57%79124518.3113431137011085200.00%000000.4300001101
14Reilly WalshMoose (WPG)D7322426-1318093808920472.25%109178624.47268381980001191100.00%000000.2900000100
15William WallinderMoose (WPG)D68322253360121526119484.92%80120617.74099231010111124000.00%000000.4100000001
16Dmitry OsipovMoose (WPG)D7341721-9695185584217409.52%88130817.9201113890110129100.00%000000.3200001003
17Antonio StrangesMoose (WPG)C736915-114096159194810.17%166759.251125140001660045.86%39900000.4412000000
18Matt PietroniroMoose (WPG)D6231215-113601274529142710.34%6887414.11011433000062100.00%000000.3400000010
19Ethan de JongMoose (WPG)RW628513-162024385274015.38%462710.1200018000000034.04%4700000.4100000010
20Casey DornbachMoose (WPG)RW652571201317297166.90%23966.1000003000000050.00%3600000.3500000001
21Zayde WisdomMoose (WPG)C59011-500872120.00%0661.1300009000000046.15%2600000.3000000000
22Joseph AbateMoose (WPG)LW11000000001020.00%0111.02000000000100100.00%100000.0000000000
23Tyson HindsMoose (WPG)D13000-240211000.00%1171.330000000001000.00%000000.0000000000
24Joseph GambardellaJetsC/LW1000-300441100.00%01616.6300000000000050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne1436251480731-13162135198118422419668171910.38%8852341316.3047961434642145691534179827947.71%650400220.62619412263131
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Aaron DellMoose (WPG)73273750.8914.0038422025623460430.68419730430
2Michael HouserMoose (WPG)140400.9262.5556400243240000.0000073000
Statistiques d’équipe totales ou en moyenne87274150.8953.8144062028026700430.684197373430


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Aaron DellMoose (WPG)G351989-05-04No213 Lbs6 ft0NoNoNo2Pro & Farm838,800$81,312$838,800$81,312$0$0$No838,800$Lien / Lien NHL
Antonio StrangesMoose (WPG)C222002-02-05Yes168 Lbs5 ft11NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Brendan FurryMoose (WPG)LW261998-07-08No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien
Brett SutterMoose (WPG)C371987-06-02No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Brian PinhoMoose (WPG)C291995-05-11No190 Lbs6 ft1NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
CJ SuessMoose (WPG)LW301994-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Casey DornbachMoose (WPG)RW271997-07-07No181 Lbs6 ft0NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien
Dmitry OsipovMoose (WPG)D281996-10-04No230 Lbs6 ft4NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Ethan de JongMoose (WPG)RW251999-07-12No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien
Gerry MayhewMoose (WPG)C/RW311992-12-31No161 Lbs5 ft9NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Hayden HodgsonMoose (WPG)RW281996-03-02No208 Lbs6 ft2NoNoNo3Pro & Farm975,000$94,515$975,000$94,515$0$0$No975,000$975,000$Lien / Lien NHL
Jordan SpenceMoose (WPG)D232001-02-24Yes180 Lbs5 ft11NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Joseph AbateMoose (WPG)LW261998-09-26No198 Lbs6 ft2NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Julien GauthierMoose (WPG)RW261997-10-15No226 Lbs6 ft4NoNoNo1Pro & Farm989,200$95,892$989,200$95,892$0$0$NoLien / Lien NHL
Kyle MarinoMoose (WPG)D291995-06-01No220 Lbs6 ft3NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Marc Del GaizoMoose (WPG)D241999-10-11Yes188 Lbs5 ft11NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Matt PietroniroMoose (WPG)D251998-10-20No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Max JonesMoose (WPG)LW261998-02-17Yes216 Lbs6 ft3NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Michael HouserMoose (WPG)G321992-09-13No185 Lbs6 ft1NoNoNo3Pro & Farm975,000$94,515$975,000$94,515$0$0$No975,000$975,000$Lien / Lien NHL
Mitch ReinkeMoose (WPG)D281996-02-04No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$72,704$750,000$72,704$0$0$NoLien / Lien NHL
Reilly WalshMoose (WPG)D251999-04-21Yes185 Lbs6 ft0NoNoNo3Pro & Farm975,000$94,515$975,000$94,515$0$0$No975,000$975,000$Lien / Lien NHL
Tyson HindsMoose (WPG)D212003-03-12Yes188 Lbs6 ft3NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
William WallinderMoose (WPG)D222002-07-28Yes191 Lbs6 ft4NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Zayde WisdomMoose (WPG)C222002-07-07Yes195 Lbs5 ft11NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.96194 Lbs6 ft11.58850,125$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesBrian PinhoJulien Gauthier40122
2Brendan FurryGerry MayhewHayden Hodgson30122
3CJ SuessBrett SutterAntonio Stranges20122
4Max JonesAntonio StrangesJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh40122
2William WallinderJordan Spence30122
3Kyle MarinoDmitry Osipov20122
4Marc Del GaizoReilly Walsh10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesJulien GauthierBrett Sutter60122
2Brendan FurryGerry MayhewAntonio Stranges40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2William WallinderKyle Marino40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Julien GauthierMax Jones60122
2Brett SutterGerry Mayhew40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2William WallinderDmitry Osipov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gerry Mayhew60122Marc Del GaizoReilly Walsh60122
2Max Jones40122William WallinderKyle Marino40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SutterMax Jones60122
2Antonio StrangesGerry Mayhew40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2William WallinderDmitry Osipov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesGerry MayhewJulien GauthierMarc Del GaizoReilly Walsh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesGerry MayhewJulien GauthierMarc Del GaizoReilly Walsh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Jones, Brett Sutter, Antonio StrangesMax Jones, Brett SutterAntonio Stranges
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Marino, Dmitry Osipov, William WallinderKyle MarinoDmitry Osipov, William Wallinder
Tirs de pénalité
Antonio Stranges, Max Jones, Julien Gauthier, Gerry Mayhew, Brett Sutter
Gardien
#1 : Aaron Dell, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
Julien Gauthier, Max Jones, Brian Pinho, Gerry Mayhew, Brett Sutter, Hayden Hodgson, Hayden Hodgson, Brendan Furry, Antonio Stranges, CJ Suess, Joseph Abate
Lignes de défense personnalisées en prolongation
Marc Del Gaizo, Reilly Walsh, William Wallinder, Dmitry Osipov, Kyle Marino


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
Total
Domicile
Visiteur
#
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
1Admirals4310000023131021100000107322000000136760.7502342650085906591507487587603913933279416637.50%11372.73%01188244948.51%1295275447.02%620125449.44%163410941818552960471
2Americans20100100612-61010000027-51000010045-110.25069150085906595174875876039692014474125.00%6433.33%01188244948.51%1295275447.02%620125449.44%163410941818552960471
3Barracuda30101010121202010100067-11000001065140.6671219310085906599674875876039118232876300.00%11190.91%01188244948.51%1295275447.02%620125449.44%163410941818552960471
4Bears2020000059-41010000014-31010000045-100.0005914008590659537487587603969242953600.00%60100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
5Bruins2110000010100110000005411010000056-120.5001018280085906597174875876039902016535240.00%7271.43%01188244948.51%1295275447.02%620125449.44%163410941818552960471
6Checkers211000008531010000034-11100000051420.50081422008590659527487587603991201458200.00%7271.43%01188244948.51%1295275447.02%620125449.44%163410941818552960471
7Comets20200000512-71010000035-21010000027-500.0005813008590659537487587603992212357500.00%8537.50%01188244948.51%1295275447.02%620125449.44%163410941818552960471
8Condors2020000047-3000000000002020000047-300.0004711108590659627487587603959211039700.00%50100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
9Crunch20200000411-71010000016-51010000035-200.0004711008590659557487587603976322039800.00%10370.00%21188244948.51%1295275447.02%620125449.44%163410941818552960471
10Devils20200000712-51010000046-21010000036-300.000714210085906595574875876039812017604125.00%6183.33%01188244948.51%1295275447.02%620125449.44%163410941818552960471
11Eagles4310000012842110000035-22200000093660.75012203200859065913474875876039135483311917423.53%13284.62%11188244948.51%1295275447.02%620125449.44%163410941818552960471
12Firebirds31101000981100010002112110000077040.6679152400859065997748758760391023824778337.50%11281.82%01188244948.51%1295275447.02%620125449.44%163410941818552960471
13Griffins2110000089-1110000006331010000026-420.500815230085906596874875876039602216502150.00%7185.71%01188244948.51%1295275447.02%620125449.44%163410941818552960471
14Gulls2020000038-51010000012-11010000026-400.0003470085906594874875876039892414528225.00%7185.71%01188244948.51%1295275447.02%620125449.44%163410941818552960471
15IceHogs20200000512-71010000017-61010000045-100.00059140085906596174875876039771814538112.50%6266.67%01188244948.51%1295275447.02%620125449.44%163410941818552960471
16Marlies210000101046110000007251000001032141.0001015250085906598574875876039692010398337.50%5180.00%21188244948.51%1295275447.02%620125449.44%163410941818552960471
17Monsters210000017521000000123-11100000052330.750714210085906596974875876039521412466116.67%5180.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
18Penguins20200000610-41010000024-21010000046-200.0006121800859065972748758760398127203310110.00%9366.67%01188244948.51%1295275447.02%620125449.44%163410941818552960471
19Phantoms21100000770110000004131010000036-320.500713200085906594974875876039801916577228.57%8187.50%01188244948.51%1295275447.02%620125449.44%163410941818552960471
20Reign21100000651110000004131010000024-220.500612180085906596974875876039541845522100.00%20100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
21Roadrunners31200000511-62110000045-11010000016-520.333591410859065973748758760391032610829111.11%40100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
22Rocket20100001911-21000000145-11010000056-110.25091524008590659757487587603972221656500.00%7442.86%01188244948.51%1295275447.02%620125449.44%163410941818552960471
23Senators2010010046-21000010034-11010000012-110.2504610008590659547487587603970251854400.00%80100.00%11188244948.51%1295275447.02%620125449.44%163410941818552960471
24Silver Knights211000008711010000024-21100000063320.5008152300859065982748758760396917145711327.27%70100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
25Sound Tigers20200000410-61010000034-11010000016-500.00047110085906596374875876039731526397114.29%12375.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
26Stars30300000815-72020000049-51010000046-200.00081321008590659897487587603913339285513430.77%13469.23%01188244948.51%1295275447.02%620125449.44%163410941818552960471
27Thunderbirds32000100161151100000063321000100108250.833162844008590659107748758760391163818697228.57%9366.67%01188244948.51%1295275447.02%620125449.44%163410941818552960471
28Wild320010001275220000007341000100054161.00012223400859065969748758760399633266614214.29%13376.92%01188244948.51%1295275447.02%620125449.44%163410941818552960471
29Wolf Pack2020000039-61010000014-31010000025-300.0003580085906596674875876039823018549111.11%9366.67%01188244948.51%1295275447.02%620125449.44%163410941818552960471
30Wolves21100000853110000006241010000023-120.50081422008590659657487587603977221258600.00%50100.00%01188244948.51%1295275447.02%620125449.44%163410941818552960471
31Wranglers312000001114-320200000812-41100000032120.3331121321085906599374875876039993123744125.00%7357.14%01188244948.51%1295275447.02%620125449.44%163410941818552960471
Total73224103322245285-4037122002102115134-1936102101220130151-21590.404245431676308590659228674875876039267378057018212254520.00%2445876.23%61188244948.51%1295275447.02%620125449.44%163410941818552960471
_Since Last GM Reset73224103322245285-4037122002102115134-1936102101220130151-21590.404245431676308590659228674875876039267378057018212254520.00%2445876.23%61188244948.51%1295275447.02%620125449.44%163410941818552960471
_Vs Conference41152103110139150-1121712020006171-102089011107879-1390.476139244383308590659128374875876039148142829610251323123.48%1272977.17%11188244948.51%1295275447.02%620125449.44%163410941818552960471
_Vs Division2211901100817741266000003539-410530110046388250.5688114322410859065968374875876039799235156538842023.81%691775.36%11188244948.51%1295275447.02%620125449.44%163410941818552960471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7359L1224543167622862673780570182130
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7322413322245285
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3712202102115134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3610211220130151
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2254520.00%2445876.23%6
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
748758760398590659
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
1188244948.51%1295275447.02%620125449.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163410941818552960471


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
6 - 2024-10-098Moose2Condors3ALSommaire du match
8 - 2024-10-1121IceHogs7Moose1BLSommaire du match
10 - 2024-10-1338Wild1Moose3BWSommaire du match
15 - 2024-10-1873Barracuda5Moose3BLSommaire du match
17 - 2024-10-2088Penguins4Moose2BLSommaire du match
19 - 2024-10-2299Moose5Thunderbirds2AWSommaire du match
21 - 2024-10-24116Moose5Firebirds4AWSommaire du match
23 - 2024-10-26129Moose3Wranglers2AWSommaire du match
25 - 2024-10-28143Marlies2Moose7BWSommaire du match
27 - 2024-10-30156Moose2Griffins6ALSommaire du match
29 - 2024-11-01171Moose5Monsters2AWSommaire du match
31 - 2024-11-03186Crunch6Moose1BLSommaire du match
33 - 2024-11-05201Roadrunners4Moose2BLSommaire du match
35 - 2024-11-07217Eagles4Moose1BLSommaire du match
37 - 2024-11-09230Stars4Moose3BLSommaire du match
40 - 2024-11-12247Moose2Wolf Pack5ALSommaire du match
42 - 2024-11-14259Moose3Crunch5ALSommaire du match
44 - 2024-11-16277Moose5Checkers1AWSommaire du match
47 - 2024-11-19297Checkers4Moose3BLSommaire du match
50 - 2024-11-22316Moose4Penguins6ALSommaire du match
51 - 2024-11-23329Moose7Admirals2AWSommaire du match
53 - 2024-11-25342Moose5Wild4AWXSommaire du match
55 - 2024-11-27359Moose2Reign4ALSommaire du match
57 - 2024-11-29374Moose6Silver Knights3AWSommaire du match
59 - 2024-12-01391Moose4Stars6ALSommaire du match
61 - 2024-12-03403Thunderbirds3Moose6BWSommaire du match
63 - 2024-12-05410Moose4Americans5ALXSommaire du match
65 - 2024-12-07427Moose4IceHogs5ALSommaire du match
66 - 2024-12-08439Monsters3Moose2BLXXSommaire du match
68 - 2024-12-10452Bruins4Moose5BWSommaire du match
70 - 2024-12-12468Silver Knights4Moose2BLSommaire du match
72 - 2024-12-14482Rocket5Moose4BLXXSommaire du match
75 - 2024-12-17506Moose6Barracuda5AWXXSommaire du match
76 - 2024-12-18511Moose2Gulls6ALSommaire du match
79 - 2024-12-21536Wild2Moose4BWSommaire du match
81 - 2024-12-23546Moose3Marlies2AWXXSommaire du match
86 - 2024-12-28574Senators4Moose3BLXSommaire du match
88 - 2024-12-30587Admirals3Moose7BWSommaire du match
89 - 2024-12-31597Moose4Eagles2AWSommaire du match
91 - 2025-01-02609Gulls2Moose1BLSommaire du match
93 - 2025-01-04621Griffins3Moose6BWSommaire du match
96 - 2025-01-07647Admirals4Moose3BLSommaire du match
99 - 2025-01-10667Reign1Moose4BWSommaire du match
100 - 2025-01-11678Eagles1Moose2BWSommaire du match
103 - 2025-01-14702Comets5Moose3BLSommaire du match
105 - 2025-01-16716Firebirds1Moose2BWXSommaire du match
107 - 2025-01-18730Wranglers6Moose4BLSommaire du match
109 - 2025-01-20747Moose1Roadrunners6ALSommaire du match
111 - 2025-01-22759Moose5Eagles1AWSommaire du match
113 - 2025-01-24775Roadrunners1Moose2BWSommaire du match
115 - 2025-01-26791Wranglers6Moose4BLSommaire du match
117 - 2025-01-28800Moose5Rocket6ALSommaire du match
119 - 2025-01-30812Moose5Bruins6ALSommaire du match
121 - 2025-02-01831Moose4Bears5ALSommaire du match
124 - 2025-02-04852Wolves2Moose6BWSommaire du match
127 - 2025-02-07872Sound Tigers4Moose3BLSommaire du match
142 - 2025-02-22903Moose5Thunderbirds6ALXSommaire du match
144 - 2025-02-24916Barracuda2Moose3BWXSommaire du match
146 - 2025-02-26930Moose1Senators2ALSommaire du match
147 - 2025-02-27941Moose6Admirals4AWSommaire du match
149 - 2025-03-01956Phantoms1Moose4BWSommaire du match
152 - 2025-03-04978Moose1Sound Tigers6ALSommaire du match
154 - 2025-03-06991Moose3Phantoms6ALSommaire du match
155 - 2025-03-07997Moose3Devils6ALSommaire du match
157 - 2025-03-091016Moose2Wolves3ALSommaire du match
159 - 2025-03-111031Wolf Pack4Moose1BLSommaire du match
162 - 2025-03-141051Stars5Moose1BLSommaire du match
164 - 2025-03-161072Moose2Firebirds3ALSommaire du match
166 - 2025-03-181086Moose2Comets7ALSommaire du match
168 - 2025-03-201099Moose2Condors4ALSommaire du match
171 - 2025-03-231119Americans7Moose2BLSommaire du match
173 - 2025-03-251135Bears4Moose1BLSommaire du match
176 - 2025-03-281156Devils6Moose4BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
178 - 2025-03-301172Comets-Moose-
180 - 2025-04-011191Moose-Reign-
182 - 2025-04-031204Moose-Silver Knights-
184 - 2025-04-051219Moose-Roadrunners-
186 - 2025-04-071231Thunderbirds-Moose-
189 - 2025-04-101255Moose-Stars-
191 - 2025-04-121271Moose-IceHogs-
192 - 2025-04-131282Condors-Moose-
195 - 2025-04-161302Gulls-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance73,49636,466
Assistance PCT99.32%98.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-27 2972 - 99.06% 80,554$2,980,489$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,526,159$ 2,040,300$ 2,040,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,614,361$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,174,951$ 19 15,512$ 294,728$




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
2Aaron Dell237100109130.9023.2312913107696707458100.73074
3Michael Leighton1339326140.9212.57798710434243282174930.73256
4Sam Montembeault1558055100.9063.57871012451855140340.65020
5Keith Kinkaid83601840.9182.05497510617020680200.80020

Moose Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
202282462707200341283584122150310018314934412412041001581342410834161695722142102907319610211034112516279784251518512455823.67%1874774.87%11707309755.12%1555287854.03%794143655.29%2023143618755691033521
202382274403431297322-2541181801130165146194192602301132176-44712975418386112180907278293291291238298493464519262576324.51%2586076.74%11483289851.17%1534306350.08%718141950.60%1905131319965981046512
202473224103322245285-4037122002102115134-1936102101220130151-2159245431676308590659228674875876039267378057018212254520.00%2445876.23%61188244948.51%1295275447.02%620125449.44%163410941818552960471
Total Saison régulière19839377030878390836973619278199249133004242454235513001550991446373045414541342231912312394697311959189324085436205125251821714533622234642475719181660542099017885505465630130523.18%5258111478.81%105290235675551.14%275175562649.47%159823164650.50%440412665947143197783355816671
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
2022147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
Total Séries éliminatoires17797800000060155447915536000003182714786424400000283283019460110291630211171762061886718152218323061912660921111711438645110823.95%50110778.64%122564511950.09%2659516451.49%1418285449.68%398924187520353029961489

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
4Sam Montembeault147430.9123.1384301445010100.0000
5Martin Jones84210.9082.8945701222400000.0000