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Moose
GP: 82 | W: 27 | L: 51 | OTL: 4 | P: 58
GF: 236 | GA: 302 | PP%: 18.51% | PK%: 75.00%
DG: Vincent Meilleur | Morale : 40 | Moyenne d’équipe : 60

Centre de jeu
Moose
27-51-4, 58pts
3
0 Roadrunners
43-33-6, 92pts
Team Stats
W4SéquenceL2
15-24-2Fiche domicile19-17-5
12-27-2Fiche domicile24-16-1
5-5-0Derniers 10 matchs3-5-2
2.88Buts par match 3.37
3.68Buts contre par match 3.05
18.51%Pourcentage en avantage numérique21.39%
75.00%Pourcentage en désavantage numérique76.59%
Barracuda
46-29-7, 99pts
1
4 Moose
27-51-4, 58pts
Team Stats
L1SéquenceW4
25-13-3Fiche domicile15-24-2
21-16-4Fiche domicile12-27-2
2-5-3Derniers 10 matchs5-5-0
3.39Buts par match 2.88
2.99Buts contre par match 3.68
23.59%Pourcentage en avantage numérique18.51%
81.10%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Angus CrookshankButs
Angus Crookshank
31
Angus CrookshankPasses
Angus Crookshank
42
Angus CrookshankPoints
Angus Crookshank
73
Luca Del Bel BelluzPlus/Moins
Luca Del Bel Belluz
1
Georgi RomanovVictoires
Georgi Romanov
27
Pavel CajanPourcentage d’arrêts
Pavel Cajan
0.897

Statistiques d’équipe
Buts pour
236
2.88 GFG
Tirs pour
2593
31.62 Avg
Pourcentage en avantage numérique
18.5%
57 GF
Début de zone offensive
39.4%
Buts contre
302
3.68 GAA
Tirs contre
2770
33.78 Avg
Pourcentage en désavantage numérique
75.0%%
80 GA
Début de la zone défensive
42.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance4,696
Billets de saison3,750


Informations de la formation

Équipe Pro22
Équipe Mineure22
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
1Luca Del Bel BelluzXX100.00633794697483856770686563666264040660222925,000$
2Nikita NesterenkoXXX100.00723983637978876266606461636566040640242925,000$
3Angus CrookshankX100.00663876646987856265616360646668040630262925,000$
4Sean FarrellXXX100.00553594656480816369626061656466040630242925,000$
5Bradley MarekXX100.00774372558677745451535759566567040600254925,000$
6Jalen LuypenXX100.00593687576172825862555654576365040590244925,000$
7Cooper WalkerXXX100.00583693566964685359545552566365040580244925,000$
8Ethan de JongX100.00573692566964725551545253556668040580272925,000$
9Jaxsen WiebeXX100.00704075567967665451535552546365040580244925,000$
10Zach SolowX100.00554163576481825565585653546769040580272925,000$
11Reece NewkirkX100.00613979557066675462565357546466040580252925,000$
12Reece VitelliX100.00563973556866635361565253546466040570252925,000$
13Maxwell CrozierX100.00724370638381826230645860516567040630262925,000$
14William WallinderX100.00763994598565845830575263456365040620242925,000$
15Connor Corcoran (R)X100.00683891557774685330545256456567040590263925,000$
16Turner OttenbreitX100.00734755548266685330515255456870040580292925,000$
17Roman KinalX100.00684269547861705330525155456769040580282925,000$
18Alex Kannok-LeipertX100.00737765557263785230545356456567040580262925,000$
19Dennis CesanaX100.00573787556665675430535052456769040570282925,000$
Rayé
1Riley DuranXXX100.00733693587280735663575859566365040610244925,000$
MOYENNE D’ÉQUIPE100.0065418058737275575057565754656704060
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)LW82314273-18380222243338882609.17%34210925.73515206426610163074149.77%86800000.6903000743
2Sean FarrellMoose (WPG)C/LW/RW82254267-196035274277772159.03%39188422.986131969266011113212050.16%217300110.7113000052
3Bradley MarekMoose (WPG)LW/RW82303464-127602641142347017312.82%13156119.04107175424221341025050.48%10500000.8200000662
4Maxwell CrozierMoose (WPG)D82114152-171051519614716958946.51%94198424.201011211092620001223120%000000.5200021211
5Reece NewkirkMoose (WPG)C82173350-1518046208172551339.88%11143917.563151834239000005050.22%183000000.6900000212
6Riley DuranMoose (WPG)C/LW/RW80193049-164751661131825413010.44%24162220.2859144526012361392142.37%26200000.6003000205
7William WallinderMoose (WPG)D82103444-11260958712047788.33%134182322.247916632570004237010%000000.4800000011
8Jalen LuypenMoose (WPG)LW/RW82172138-1310050811615313510.56%10122314.92371033173000021044.12%10200000.6200000032
9Nikita NesterenkoMoose (WPG)C/LW/RW69182038-10600116167198451659.09%12101914.7800000000012250.96%115000000.7500000113
10Roman KinalMoose (WPG)D8282432-1510515200639324548.60%100166820.35358432340221210010%000000.3800011101
11Connor CorcoranMoose (WPG)D8142024-1346097778027545.00%119162120.02246371770002195100%000000.3000000100
12Alex Kannok-LeipertMoose (WPG)D8251924-165610131565821358.62%85128715.701011468000097000%000000.3700011000
13Ethan de JongMoose (WPG)RW7191120-120136611539857.83%1496713.6301102000000135.29%6800000.4100000003
14Zach SolowMoose (WPG)RW8161420-1020078529627636.25%87639.4200057000000048.48%3300000.5200000000
15Adam ErneJetsLW/RW2971017-1260194066244110.61%546315.9825717701012610053.85%3900000.7300000100
16Turner OttenbreitMoose (WPG)D8231316-10920154634113277.32%64123315.04000526011059010%000000.2600000001
17Reece VitelliMoose (WPG)C802810-3201239269137.69%52463.09000020000241042.61%29100000.8100000001
18Jaxsen WiebeMoose (WPG)LW/RW82639-38049305492211.11%24435.41000040001790148.11%10600000.4111000000
19Luca Del Bel BelluzMoose (WPG)C/LW245491209517921586.33%831012.9200000000001034.62%2600000.5800000001
20Cooper WalkerMoose (WPG)C/LW/RW71224120517278207.41%11802.5500007000071043.23%15500000.4400000000
21Dennis CesanaMoose (WPG)D57033-4206136280%102474.3300014000227000%000000.2400000000
22Jagger FirkusJetsRW27000000001000%030.140001100001000%00000000000000
Statistiques d’équipe totales ou en moyenne1572235428663-2167294519632001259377118639.06%7922410615.335710115859425765712402098261149.22%720800110.55210043232228
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)82274840.8933.62452410227325420330.70010820653
2Pavel CajanMoose (WPG)110300.8973.31417002322400100082000
Statistiques d’équipe totales ou en moyenne93275140.8933.5949421022962766034108282653


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
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
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
Luca Del Bel BelluzMoose (WPG)C/LW222003-11-10CANNo185 Lbs185 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------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
2225.32186 Lbs185 CM2.50925,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Angus CrookshankSean FarrellZach Solow40122
2Ethan de JongReece NewkirkBradley Marek30122
3Jalen LuypenNikita NesterenkoLuca Del Bel Belluz20122
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 FarrellJaxsen Wiebe60122
2Jalen LuypenReece NewkirkBradley Marek40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Alex Kannok-LeipertRoman Kinal40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankSean Farrell60122
2Jalen LuypenBradley Marek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Turner OttenbreitRoman Kinal40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Angus Crookshank60122Maxwell CrozierWilliam Wallinder60122
2Sean Farrell40122Turner OttenbreitRoman Kinal40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankSean Farrell60122
2Luca Del Bel BelluzBradley Marek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierWilliam Wallinder60122
2Alex Kannok-LeipertRoman Kinal40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Angus CrookshankSean FarrellLuca Del Bel BelluzMaxwell CrozierWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Angus CrookshankSean FarrellLuca Del Bel BelluzMaxwell CrozierWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jalen Luypen, Angus Crookshank, Jaxsen WiebeJalen Luypen, Angus CrookshankJaxsen 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, Jalen Luypen, 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
1Admirals3120000058-32110000045-11010000013-220.333591410757680677864848859329927227113215.38%10190.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
2Americans20100100912-31010000024-21000010078-110.250917260075768067886484885932761918438112.50%9455.56%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
3Barracuda321000001073110000004132110000066040.66710192900757680697864848859321153226778337.50%12283.33%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
4Bears220000001064110000004311100000063341.0001016260075768068086484885932601010489111.11%5260.00%11407282149.88%1474301748.86%667132450.38%1855125620346171060517
5Bruins21001000835110000005141000100032141.000815230075768069086484885932501812539222.22%6266.67%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
6Canucks31200000913-41100000032120200000611-520.33391726007576806928648488593212234285716318.75%13284.62%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
7Checkers220000001156110000006241100000053241.00011193000757680610686484885932471811687114.29%30100.00%11407282149.88%1474301748.86%667132450.38%1855125620346171060517
8Comets2020000036-31010000012-11010000024-200.0003691075768067586484885932662014351000.00%7185.71%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
9Condors30300000515-102020000038-51010000027-500.0005101500757680673864848859329217315514214.29%12375.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
10Crunch21100000550110000004311010000012-120.50058130075768065486484885932701722418450.00%10280.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
11Eagles412010001214-22010100056-12110000078-140.5001222340075768061438648488593212338379617211.76%14378.57%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
12Firebirds3030000019-82020000014-31010000005-500.000123007576806798648488593287262864400.00%14285.71%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
13Griffins20200000711-41010000047-31010000034-100.000712190075768066386484885932691720597457.14%9366.67%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
14Gulls30300000914-51010000024-220200000710-300.00091524107576806898648488593211725417810440.00%14378.57%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
15Heat312000001314-11100000063320200000711-420.3331322351075768061028648488593211523287012433.33%13561.54%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
16IceHogs40400000615-92020000038-52020000037-400.000610160075768061228648488593212852481109333.33%22768.18%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
17Marlies20101000810-2100010002111010000069-320.500815230075768065886484885932671810419333.33%5340.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
18Monsters2020000049-51010000035-21010000014-300.000461000757680662864848859327818294410220.00%11463.64%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
19Penguins211000007701010000024-21100000053220.500712190075768068586484885932511414429111.11%6350.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
20Phantoms21100000660110000005321010000013-220.5006121800757680658864848859326512937800.00%20100.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
21Reign3120000010100211000007521010000035-220.333102030007576806908648488593211228286813215.38%13561.54%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
22Roadrunners3110010079-21010000004-42100010075230.5007132001757680679864848859327422187310220.00%8187.50%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
23Rocket210000014401000000123-11100000021130.75048120075768065786484885932642518575120.00%9188.89%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
24Senators2020000038-51010000012-11010000026-400.000369007576806548648488593289252065700.00%10280.00%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
25Silver Knights31200000511-620200000411-71100000010120.33359140175768067386484885932106444965400.00%16568.75%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
26Sound Tigers20200000612-61010000057-21010000015-400.000610160075768064886484885932592218571000.00%9277.78%11407282149.88%1474301748.86%667132450.38%1855125620346171060517
27Stars422000001113-22020000037-42200000086240.5001121320075768061058648488593215447449011327.27%21385.71%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
28Thunderbirds403000101015-5201000108802020000027-520.25010172700757680615286484885932138373810222313.64%14471.43%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
29Wild42101000201462200000012662010100088060.7502038580075768061198648488593213946309111327.27%14471.43%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
30Wolf Pack2020000057-21010000023-11010000034-100.000591400757680662864848859327326104710110.00%5180.00%11407282149.88%1474301748.86%667132450.38%1855125620346171060517
31Wolves20100001710-31000000145-11010000035-210.2507132000757680671864848859326515859800.00%40100.00%11407282149.88%1474301748.86%667132450.38%1855125620346171060517
Total82225104212236302-6641122402012117137-2041102702200119165-46580.354236428664427576806259386484885932277079273919633085718.51%3208075.00%51407282149.88%1474301748.86%667132450.38%1855125620346171060517
_Since Last GM Reset82225104212236302-6641122402012117137-2041102702200119165-46580.354236428664427576806259386484885932277079273919633085718.51%3208075.00%51407282149.88%1474301748.86%667132450.38%1855125620346171060517
_Vs Conference50133302110133181-4825716010106582-1725617011006899-31330.330133244377327576806149286484885932172149849611671743620.69%2105076.19%01407282149.88%1474301748.86%667132450.38%1855125620346171060517
_Vs Division26715021107188-171338010103544-91347011003644-8210.4047113020111757680679786484885932855269237633931819.35%1032377.67%01407282149.88%1474301748.86%667132450.38%1855125620346171060517

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8258W423642866425932770792739196342
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8222514212236302
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112242012117137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110272200119165
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3085718.51%3208075.00%5
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
864848859327576806
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
1407282149.88%1474301748.86%667132450.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1855125620346171060517


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 - 2025-09-2817Stars4Moose1LSommaire du match
5 - 2025-09-3022Reign4Moose2LSommaire du match
7 - 2025-10-0242Moose1Sound Tigers5LSommaire du match
10 - 2025-10-0566Moose1Phantoms3LSommaire du match
12 - 2025-10-0784Admirals3Moose1LSommaire du match
14 - 2025-10-0996Moose3Heat5LSommaire du match
17 - 2025-10-12120Firebirds1Moose0LSommaire du match
18 - 2025-10-13126Heat3Moose6WSommaire du match
20 - 2025-10-15143Roadrunners4Moose0LSommaire du match
22 - 2025-10-17157Moose5Wild4WXSommaire du match
24 - 2025-10-19174IceHogs3Moose1LSommaire du match
26 - 2025-10-21182Penguins4Moose2LSommaire du match
29 - 2025-10-24212Moose3Reign5LSommaire du match
32 - 2025-10-27230Moose3Barracuda1WSommaire du match
34 - 2025-10-29251Moose3Gulls4LSommaire du match
36 - 2025-10-31263Moose3Canucks7LSommaire du match
38 - 2025-11-02278Moose0Firebirds5LSommaire du match
40 - 2025-11-04294Moose4Heat6LSommaire du match
43 - 2025-11-07311Monsters5Moose3LSommaire du match
46 - 2025-11-10333Wolves5Moose4LXXSommaire du match
48 - 2025-11-12348Wild2Moose7WSommaire du match
51 - 2025-11-15367Moose6Bears3WSommaire du match
53 - 2025-11-17387Moose3Wolves5LSommaire du match
54 - 2025-11-18397Moose1Admirals3LSommaire du match
56 - 2025-11-20408Moose7Americans8LXSommaire du match
58 - 2025-11-22422Moose2Rocket1WSommaire du match
60 - 2025-11-24437Americans4Moose2LSommaire du match
61 - 2025-11-25450Moose2Condors7LSommaire du match
64 - 2025-11-28473Stars3Moose2LSommaire du match
66 - 2025-11-30489Bruins1Moose5WSommaire du match
68 - 2025-12-02503Bears3Moose4WSommaire du match
70 - 2025-12-04516Senators2Moose1LSommaire du match
72 - 2025-12-06531Moose2Thunderbirds3LSommaire du match
74 - 2025-12-08546Moose5Eagles4WSommaire du match
76 - 2025-12-10569Moose4Roadrunners5LXSommaire du match
82 - 2025-12-16594Wild4Moose5WSommaire du match
84 - 2025-12-18609Condors4Moose0LSommaire du match
86 - 2025-12-20626Moose3Griffins4LSommaire du match
87 - 2025-12-21634Moose6Marlies9LSommaire du match
89 - 2025-12-23650Moose2Senators6LSommaire du match
92 - 2025-12-26673Silver Knights7Moose3LSommaire du match
94 - 2025-12-28690Condors4Moose3LSommaire du match
95 - 2025-12-29695Reign1Moose5WSommaire du match
97 - 2025-12-31711Comets2Moose1LSommaire du match
99 - 2026-01-02732Sound Tigers7Moose5LSommaire du match
101 - 2026-01-04744Moose3Wild4LSommaire du match
103 - 2026-01-06762Marlies1Moose2WXSommaire du match
105 - 2026-01-08776Moose1IceHogs4LSommaire du match
106 - 2026-01-09785Thunderbirds3Moose2LSommaire du match
108 - 2026-01-11799Checkers2Moose6WSommaire du match
110 - 2026-01-13815Griffins7Moose4LSommaire du match
113 - 2026-01-16835Moose2Comets4LSommaire du match
115 - 2026-01-18847Moose1Crunch2LSommaire du match
117 - 2026-01-20862Moose5Checkers3WSommaire du match
119 - 2026-01-22882Moose5Stars4WSommaire du match
121 - 2026-01-24895Rocket3Moose2LXXSommaire du match
142 - 2026-02-14915Moose3Canucks4LSommaire du match
144 - 2026-02-16933Moose4Gulls6LSommaire du match
146 - 2026-02-18950Moose3Barracuda5LSommaire du match
148 - 2026-02-20964IceHogs5Moose2LSommaire du match
150 - 2026-02-22980Crunch3Moose4WSommaire du match
152 - 2026-02-24996Canucks2Moose3WSommaire du match
155 - 2026-02-271022Gulls4Moose2LSommaire du match
157 - 2026-03-011036Wolf Pack3Moose2LSommaire du match
159 - 2026-03-031045Eagles1Moose2WXSommaire du match
160 - 2026-03-041057Thunderbirds5Moose6WXXSommaire du match
162 - 2026-03-061071Admirals2Moose3WSommaire du match
164 - 2026-03-081083Moose3Bruins2WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101099Moose5Penguins3WSommaire du match
167 - 2026-03-111110Moose3Wolf Pack4LSommaire du match
169 - 2026-03-131131Silver Knights4Moose1LSommaire du match
171 - 2026-03-151145Eagles5Moose3LSommaire du match
173 - 2026-03-171162Moose2Eagles4LSommaire du match
176 - 2026-03-201186Moose2IceHogs3LSommaire du match
178 - 2026-03-221198Moose3Stars2WSommaire du match
180 - 2026-03-241215Moose1Monsters4LSommaire du match
182 - 2026-03-261230Firebirds3Moose1LSommaire du match
185 - 2026-03-291253Moose0Thunderbirds4LSommaire du match
187 - 2026-03-311272Phantoms3Moose5WSommaire du match
189 - 2026-04-021290Moose1Silver Knights0WSommaire du match
190 - 2026-04-031297Moose3Roadrunners0WSommaire du match
192 - 2026-04-051308Barracuda1Moose4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance114,71977,813
Assistance PCT93.27%94.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 4696 - 93.92% 143,691$5,891,348$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,536,433$ 2,035,000$ 2,035,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,036,433$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,135$ 0$




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