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Moose
GP: 44 | W: 11 | L: 30 | OTL: 3 | P: 25
GF: 127 | GA: 176 | PP%: 18.24% | PK%: 74.47%
DG: Vincent Meilleur | Morale : 40 | Moyenne d’équipe : 60
Prochains matchs #732 vs Sound Tigers

Centre de jeu
Reign
20-19-5, 45pts
1
5 Moose
11-30-3, 25pts
Team Stats
W1SéquenceL1
8-10-3Fiche domicile6-15-1
12-9-2Fiche domicile5-15-2
4-5-1Derniers 10 matchs2-7-1
2.95Buts par match 2.89
3.32Buts contre par match 4.00
21.66%Pourcentage en avantage numérique18.24%
78.49%Pourcentage en désavantage numérique74.47%
Comets
23-19-3, 49pts
2
1 Moose
11-30-3, 25pts
Team Stats
W1SéquenceL1
10-10-1Fiche domicile6-15-1
13-9-2Fiche domicile5-15-2
8-1-1Derniers 10 matchs2-7-1
3.07Buts par match 2.89
3.11Buts contre par match 4.00
20.57%Pourcentage en avantage numérique18.24%
77.60%Pourcentage en désavantage numérique74.47%
Sound Tigers
26-16-3, 55pts
2026-01-13
Moose
11-30-3, 25pts
Statistiques d’équipe
W1SéquenceL1
15-6-3Fiche domicile6-15-1
11-10-0Fiche visiteur5-15-2
4-4-210 derniers matchs2-7-1
3.31Buts par match 2.89
2.89Buts contre par match 2.89
25.70%Pourcentage en avantage numérique18.24%
79.14%Pourcentage en désavantage numérique74.47%
Moose
11-30-3, 25pts
2026-01-15
Wild
18-20-8, 44pts
Statistiques d’équipe
L1SéquenceOTL1
6-15-1Fiche domicile7-9-7
5-15-2Fiche visiteur11-11-1
2-7-110 derniers matchs5-3-2
2.89Buts par match 2.59
4.00Buts contre par match 2.59
18.24%Pourcentage en avantage numérique17.16%
74.47%Pourcentage en désavantage numérique76.64%
Marlies
26-17-1, 53pts
2026-01-17
Moose
11-30-3, 25pts
Statistiques d’équipe
L1SéquenceL1
17-9-0Fiche domicile6-15-1
9-8-1Fiche visiteur5-15-2
8-2-010 derniers matchs2-7-1
3.36Buts par match 2.89
2.98Buts contre par match 2.89
20.30%Pourcentage en avantage numérique18.24%
79.56%Pourcentage en désavantage numérique74.47%
Meneurs d'équipe
Angus CrookshankButs
Angus Crookshank
19
Angus CrookshankPasses
Angus Crookshank
21
Angus CrookshankPoints
Angus Crookshank
40
Cooper WalkerPlus/Moins
Cooper Walker
0
Georgi RomanovVictoires
Georgi Romanov
11
Pavel CajanPourcentage d’arrêts
Pavel Cajan
0.909

Statistiques d’équipe
Buts pour
127
2.89 GFG
Tirs pour
1306
29.68 Avg
Pourcentage en avantage numérique
18.2%
31 GF
Début de zone offensive
37.1%
Buts contre
176
4.00 GAA
Tirs contre
1539
34.98 Avg
Pourcentage en désavantage numérique
74.5%%
48 GA
Début de la zone défensive
43.4%
Informations de l'équipe

Directeur généralVincent Meilleur
EntraîneurBrett McLean
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,679
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 70
Espoirs14


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
1Nikita NesterenkoXXX100.00723983637978876266606461636566040640242925,000$
2Angus CrookshankX100.00663876646987856265616360646668040630262925,000$
3Sean FarrellXXX100.00553594656480816369626061656466040630242925,000$
4Adam ErneXX100.00716982588073725752565359557072040610311925,000$
5Jagger Firkus (R)X100.00623691616481725863605956626165040610223925,000$
6Riley DuranXXX100.00733693587280735663575859566365040610244925,000$
7Bradley MarekXX100.00774372558677745451535759566567040600254925,000$
8Jalen LuypenXX100.00593687576172825862555654576365040590244925,000$
9Cooper WalkerXXX100.00583693566964685359545552566365040580244925,000$
10Ethan de JongX100.00573692566964725551545253556668040580272925,000$
11Jaxsen WiebeXX100.00704075567967665451535552546365040580244925,000$
12Zach SolowX100.00554163576481825565585653546769040580272925,000$
13Reece NewkirkX100.00613979557066675462565357546466040580252925,000$
14Reece VitelliX100.00563973556866635361565253546466040570252925,000$
15Maxwell CrozierX100.00724370638381826230645860516567040630262925,000$
16William WallinderX100.00763994598565845830575263456365040620242925,000$
17Connor Corcoran (R)X100.00683891557774685330545256456567040590263925,000$
18Turner OttenbreitX100.00734755548266685330515255456870040580292925,000$
19Roman KinalX100.00684269547861705330525155456769040580282925,000$
20Alex Kannok-LeipertX100.00737765557263785230545356456567040580262925,000$
Rayé
1Dennis CesanaX100.00573787556665675430535052456769040570282925,000$
MOYENNE D’ÉQUIPE100.0066428058737274565056555654656704060
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
1Georgi Romanov100.0075827891747375747375746675040660262925,000$
2Pavel Cajan100.0067767276666567666567666369040620232925,000$
Rayé
MOYENNE D’ÉQUIPE100.007179758470697170697170657204064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brett McLean68616367716680CAN462500,000$


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
1Angus CrookshankMoose (WPG)LW44192140-71601061421644911811.59%16112025.4647113514510141811049.18%49000000.7101000412
2Sean FarrellMoose (WPG)C/LW/RW44141933-620141481403510810.00%23100022.7547113714501171851049.46%112000110.6601000031
3Bradley MarekMoose (WPG)LW/RW44151631-1646012950103327914.56%478817.916410261320001371046.67%6000000.7900000230
4Maxwell CrozierMoose (WPG)D4472027-13595118898637588.14%51108724.726612531440000128120%000000.5000010201
5Reece NewkirkMoose (WPG)C4491625-151002011882237010.98%874616.9626817130000003049.68%94200000.6700000001
6Riley DuranMoose (WPG)C/LW/RW4481624-522081609131718.79%1288620.14358291450111851142.86%14700000.5401000103
7Jalen LuypenMoose (WPG)LW/RW44111122-1080344188247212.50%560913.841231462000000047.17%5300000.7200000011
8Nikita NesterenkoMoose (WPG)C/LW/RW31101020-6300487589206911.24%641913.5400000000012154.47%48100000.9500000111
9William WallinderMoose (WPG)D4421820-822047415728423.51%6692621.052810301420002137000%000000.4300000000
10Adam ErneMoose (WPG)LW/RW2971017-1260194066244110.61%546315.9825717701012610053.85%3900000.7300000100
11Zach SolowMoose (WPG)RW4441317-814053427319445.48%655212.5600044000000050.00%2400000.6200000000
12Alex Kannok-LeipertMoose (WPG)D4421416-72006330239178.70%4664714.7100001000061000%000000.4900000000
13Connor CorcoranMoose (WPG)D4401313-1334063463412330%6291320.76022221300000137000%000000.2800000000
14Roman KinalMoose (WPG)D444913-11615113415313237.55%5888620.15145271270001125010%000000.2900000001
15Ethan de JongMoose (WPG)RW334711-1208324615348.70%837811.4800000000000037.50%3200000.5800000001
16Turner OttenbreitMoose (WPG)D44369-652074402451312.50%2961313.9400021100005010%000000.2900000001
17Reece VitelliMoose (WPG)C42178-520123620585.00%52074.9500000000080041.95%26700000.7700000001
18Jaxsen WiebeMoose (WPG)LW/RW44527-24029194091812.50%12646.01000000000460144.62%6500000.5300000000
19Cooper WalkerMoose (WPG)C/LW/RW33213020516235158.70%11564.7300003000031042.86%14700000.3800000000
20Dennis CesanaMoose (WPG)D39022-3206114270%82155.5400012000123000%000000.1900000000
21Jagger FirkusMoose (WPG)RW13000000000000%000.020000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne836127231358-154414101042111713063979409.72%4201288415.41315687314140122419123211748.88%386700110.560301011914
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
1Georgi RomanovMoose (WPG)44112930.8854.0223466015713610310.6673440330
2Pavel CajanMoose (WPG)80100.9093.21299001617600100044000
Statistiques d’équipe totales ou en moyenne52113030.8873.92264560173153703234444330


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam ErneMoose (WPG)LW/RW311995-04-20USANo215 Lbs185 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Alex Kannok-LeipertMoose (WPG)D262000-07-20CANNo190 Lbs183 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Angus CrookshankMoose (WPG)LW261999-10-02CANNo183 Lbs178 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Bradley MarekMoose (WPG)LW/RW252000-11-13USANo212 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Connor CorcoranMoose (WPG)D262000-08-07CANYes185 Lbs188 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cooper WalkerMoose (WPG)C/LW/RW242002-07-11CANNo174 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Dennis CesanaMoose (WPG)D281998-04-04USANo183 Lbs175 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ethan de JongMoose (WPG)RW271999-07-12CANNo181 Lbs180 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Georgi RomanovMoose (WPG)G261999-12-15RUSNo207 Lbs196 CMNoNoAssign ManuallyNoNo22024-07-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jagger FirkusMoose (WPG)RW222004-04-29CANYes153 Lbs178 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jalen LuypenMoose (WPG)LW/RW242002-06-28CANNo155 Lbs178 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Jaxsen WiebeMoose (WPG)LW/RW242002-05-16CANNo209 Lbs185 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Maxwell CrozierMoose (WPG)D262000-04-19CANNo198 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikita NesterenkoMoose (WPG)C/LW/RW242001-09-10USANo195 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Pavel CajanMoose (WPG)G232002-10-13CZENo176 Lbs188 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Reece NewkirkMoose (WPG)C252001-02-20CANNo178 Lbs183 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Reece VitelliMoose (WPG)C252001-07-05CANNo180 Lbs180 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Riley DuranMoose (WPG)C/LW/RW242002-01-25USANo174 Lbs185 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Roman KinalMoose (WPG)D281998-07-20USANo190 Lbs188 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sean FarrellMoose (WPG)C/LW/RW242001-11-02USANo175 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Turner OttenbreitMoose (WPG)D291997-07-09CANNo192 Lbs191 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
William WallinderMoose (WPG)D242002-07-28SWENo191 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Zach SolowMoose (WPG)RW271998-11-06USANo174 Lbs175 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.57186 Lbs185 CM2.48925,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Angus CrookshankSean FarrellRiley Duran40122
2Ethan de JongReece NewkirkBradley Marek30122
3Jalen LuypenNikita NesterenkoZach Solow20122
4Jaxsen WiebeNikita NesterenkoAngus Crookshank10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder40122
2Connor CorcoranRoman Kinal30122
3Turner OttenbreitAlex Kannok-Leipert20122
4William WallinderMaxwell Crozier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Angus CrookshankSean FarrellRiley Duran60122
2Jalen LuypenReece NewkirkBradley Marek40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Connor CorcoranRoman Kinal40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankSean Farrell60122
2Riley DuranBradley Marek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Connor CorcoranRoman Kinal40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Angus Crookshank60122Maxwell CrozierWilliam Wallinder60122
2Sean Farrell40122Connor CorcoranRoman Kinal40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankSean Farrell60122
2Riley DuranZach Solow40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Connor CorcoranRoman Kinal40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Angus CrookshankSean FarrellRiley DuranMaxwell CrozierWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Angus CrookshankSean FarrellRiley DuranMaxwell CrozierWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jalen Luypen, Zach Solow, Jaxsen WiebeJalen Luypen, Zach SolowJaxsen Wiebe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Turner Ottenbreit, Alex Kannok-Leipert, William WallinderTurner OttenbreitAlex Kannok-Leipert, Maxwell Crozier
Tirs de pénalité
Angus Crookshank, Sean Farrell, Riley Duran, Jaxsen Wiebe, Bradley Marek
Gardien
#1 : Georgi Romanov, #2 : Pavel Cajan


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
1Admirals2020000026-41010000013-21010000013-200.0002461042345014643643143757321225311218.18%10190.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
2Americans20100100912-31010000024-21000010078-110.25091726004234501784364314375761918438112.50%9455.56%0713143149.83%794167247.49%38375250.93%9606411117337572274
3Barracuda11000000312000000000001100000031221.0003580042345012443643143753810122411100.00%60100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
4Bears220000001064110000004311100000063341.000101626004234501804364314375601010489111.11%5260.00%1713143149.83%794167247.49%38375250.93%9606411117337572274
5Bruins11000000514110000005140000000000021.00059140042345013843643143752368275120.00%40100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
6Canucks1010000037-4000000000001010000037-400.000369004234501324364314375391210276350.00%5260.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
7Comets1010000012-11010000012-10000000000000.0001230042345013743643143752710610400.00%30100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
8Condors30300000515-102020000038-51010000027-500.000510150042345017343643143759217315514214.29%12375.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
9Eagles11000000541000000000001100000054121.000591400423450126436431437534912243133.33%4175.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
10Firebirds2020000006-61010000001-11010000005-500.00000000423450149436431437563192243200.00%11281.82%0713143149.83%794167247.49%38375250.93%9606411117337572274
11Griffins1010000034-1000000000001010000034-100.000358004234501304364314375369103111100.00%40100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
12Gulls1010000034-1000000000001010000034-100.00034700423450130436431437543425185240.00%6266.67%0713143149.83%794167247.49%38375250.93%9606411117337572274
13Heat312000001314-11100000063320200000711-420.333132235104234501102436431437511523287012433.33%13561.54%0713143149.83%794167247.49%38375250.93%9606411117337572274
14IceHogs1010000013-21010000013-20000000000000.00012300423450121436431437533171628100.00%7185.71%0713143149.83%794167247.49%38375250.93%9606411117337572274
15Marlies1010000069-3000000000001010000069-300.0006111700423450127436431437539124156350.00%220.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
16Monsters1010000035-21010000035-20000000000000.00034700423450133436431437536812216233.33%5340.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
17Penguins1010000024-21010000024-20000000000000.000246004234501344364314375257628400.00%3233.33%0713143149.83%794167247.49%38375250.93%9606411117337572274
18Phantoms1010000013-2000000000001010000013-200.000123004234501264364314375349418500.00%20100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
19Reign3120000010100211000007521010000035-220.33310203000423450190436431437511228286813215.38%13561.54%0713143149.83%794167247.49%38375250.93%9606411117337572274
20Roadrunners2010010049-51010000004-41000010045-110.2504812004234501534364314375591916507114.29%7185.71%0713143149.83%794167247.49%38375250.93%9606411117337572274
21Rocket11000000211000000000001100000021121.0002460042345012943643143753011631300.00%3166.67%0713143149.83%794167247.49%38375250.93%9606411117337572274
22Senators2020000038-51010000012-11010000026-400.00036900423450154436431437589252065700.00%10280.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
23Silver Knights1010000037-41010000037-40000000000000.00035800423450118436431437531131820100.00%8362.50%0713143149.83%794167247.49%38375250.93%9606411117337572274
24Sound Tigers1010000015-4000000000001010000015-400.0001120042345012443643143752651027600.00%5260.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
25Stars2020000037-42020000037-40000000000000.000369004234501464364314375913026456116.67%12191.67%0713143149.83%794167247.49%38375250.93%9606411117337572274
26Thunderbirds1010000023-1000000000001010000023-100.00024600423450146436431437537126309111.11%30100.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
27Wild32001000171072200000012661000100054161.0001732490042345018943643143751134026647228.57%12375.00%0713143149.83%794167247.49%38375250.93%9606411117337572274
28Wolves20100001710-31000000145-11010000035-210.250713200042345017143643143756515859800.00%40100.00%1713143149.83%794167247.49%38375250.93%9606411117337572274
Total44103001201127176-4922615000015873-15224150120069103-34250.28412723135820423450113064364314375153942042010421703118.24%1884874.47%2713143149.83%794167247.49%38375250.93%9606411117337572274
_Since Last GM Reset44103001201127176-4922615000015873-15224150120069103-34250.28412723135820423450113064364314375153942042010421703118.24%1884874.47%2713143149.83%794167247.49%38375250.93%9606411117337572274
_Vs Conference276190110074106-3214410000003647-111329011003859-21150.278741372112042345017454364314375973274298619982222.45%1293076.74%0713143149.83%794167247.49%38375250.93%9606411117337572274
_Vs Division1237011003442-8725000001723-6512011001719-290.375346599104234501327436431437544014812429444818.18%55885.45%0713143149.83%794167247.49%38375250.93%9606411117337572274

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4425L112723135813061539420420104220
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4410301201127176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2261500015873
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
22415120069103
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1703118.24%1884874.47%2
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
43643143754234501
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
713143149.83%794167247.49%38375250.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9606411117337572274


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
3 - 2025-10-0917Stars4Moose1LSommaire du match
5 - 2025-10-1122Reign4Moose2LSommaire du match
7 - 2025-10-1342Moose1Sound Tigers5LSommaire du match
10 - 2025-10-1666Moose1Phantoms3LSommaire du match
12 - 2025-10-1884Admirals3Moose1LSommaire du match
14 - 2025-10-2096Moose3Heat5LSommaire du match
17 - 2025-10-23120Firebirds1Moose0LSommaire du match
18 - 2025-10-24126Heat3Moose6WSommaire du match
20 - 2025-10-26143Roadrunners4Moose0LSommaire du match
22 - 2025-10-28157Moose5Wild4WXSommaire du match
24 - 2025-10-30174IceHogs3Moose1LSommaire du match
26 - 2025-11-01182Penguins4Moose2LSommaire du match
29 - 2025-11-04212Moose3Reign5LSommaire du match
32 - 2025-11-07230Moose3Barracuda1WSommaire du match
34 - 2025-11-09251Moose3Gulls4LSommaire du match
36 - 2025-11-11263Moose3Canucks7LSommaire du match
38 - 2025-11-13278Moose0Firebirds5LSommaire du match
40 - 2025-11-15294Moose4Heat6LSommaire du match
43 - 2025-11-18311Monsters5Moose3LSommaire du match
46 - 2025-11-21333Wolves5Moose4LXXSommaire du match
48 - 2025-11-23348Wild2Moose7WSommaire du match
51 - 2025-11-26367Moose6Bears3WSommaire du match
53 - 2025-11-28387Moose3Wolves5LSommaire du match
54 - 2025-11-29397Moose1Admirals3LSommaire du match
56 - 2025-12-01408Moose7Americans8LXSommaire du match
58 - 2025-12-03422Moose2Rocket1WSommaire du match
60 - 2025-12-05437Americans4Moose2LSommaire du match
61 - 2025-12-06450Moose2Condors7LSommaire du match
64 - 2025-12-09473Stars3Moose2LSommaire du match
66 - 2025-12-11489Bruins1Moose5WSommaire du match
68 - 2025-12-13503Bears3Moose4WSommaire du match
70 - 2025-12-15516Senators2Moose1LSommaire du match
72 - 2025-12-17531Moose2Thunderbirds3LSommaire du match
74 - 2025-12-19546Moose5Eagles4WSommaire du match
76 - 2025-12-21569Moose4Roadrunners5LXSommaire du match
82 - 2025-12-27594Wild4Moose5WSommaire du match
84 - 2025-12-29609Condors4Moose0LSommaire du match
86 - 2025-12-31626Moose3Griffins4LSommaire du match
87 - 2026-01-01634Moose6Marlies9LSommaire du match
89 - 2026-01-03650Moose2Senators6LSommaire du match
92 - 2026-01-06673Silver Knights7Moose3LSommaire du match
94 - 2026-01-08690Condors4Moose3LSommaire du match
95 - 2026-01-09695Reign1Moose5WSommaire du match
97 - 2026-01-11711Comets2Moose1LSommaire du match
99 - 2026-01-13732Sound Tigers-Moose-
101 - 2026-01-15744Moose-Wild-
103 - 2026-01-17762Marlies-Moose-
105 - 2026-01-19776Moose-IceHogs-
106 - 2026-01-20785Thunderbirds-Moose-
108 - 2026-01-22799Checkers-Moose-
110 - 2026-01-24815Griffins-Moose-
113 - 2026-01-27835Moose-Comets-
115 - 2026-01-29847Moose-Crunch-
117 - 2026-01-31862Moose-Checkers-
119 - 2026-02-02882Moose-Stars-
121 - 2026-02-04895Rocket-Moose-
142 - 2026-02-25915Moose-Canucks-
144 - 2026-02-27933Moose-Gulls-
146 - 2026-03-01950Moose-Barracuda-
148 - 2026-03-03964IceHogs-Moose-
150 - 2026-03-05980Crunch-Moose-
152 - 2026-03-07996Canucks-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101022Gulls-Moose-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141045Eagles-Moose-
160 - 2026-03-151057Thunderbirds-Moose-
162 - 2026-03-171071Admirals-Moose-
164 - 2026-03-191083Moose-Bruins-
166 - 2026-03-211099Moose-Penguins-
167 - 2026-03-221110Moose-Wolf Pack-
169 - 2026-03-241131Silver Knights-Moose-
171 - 2026-03-261145Eagles-Moose-
173 - 2026-03-281162Moose-Eagles-
176 - 2026-03-311186Moose-IceHogs-
178 - 2026-04-021198Moose-Stars-
180 - 2026-04-041215Moose-Monsters-
182 - 2026-04-061230Firebirds-Moose-
185 - 2026-04-091253Moose-Thunderbirds-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131290Moose-Silver Knights-
190 - 2026-04-141297Moose-Roadrunners-
192 - 2026-04-161308Barracuda-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance61,52341,419
Assistance PCT93.22%94.13%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 4679 - 93.58% 143,303$3,152,665$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,265,893$ 2,127,500$ 2,127,500$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,014,629$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,722,756$ 96 13,614$ 1,306,944$




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

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

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

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

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