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Moose
GP: 9 | W: 6 | L: 3 | OTL: 0 | P: 12
GF: 39 | GA: 26 | PP%: 27.27% | PK%: 75.76%
DG: Keven Langevin | Morale : 45 | Moyenne d’équipe : 61
Prochains matchs #160 vs Coachella Valley Firebirds

Centre de jeu
Moose
6-3-0, 12pts
5
4 Bruins
7-2-1, 15pts
Team Stats
W2SéquenceL2
3-2-0Fiche domicile2-1-0
3-1-0Fiche domicile5-1-1
6-3-0Derniers 10 matchs7-2-1
4.33Buts par match 6.80
2.89Buts contre par match 2.60
27.27%Pourcentage en avantage numérique20.00%
75.76%Pourcentage en désavantage numérique86.67%
Abbotsford Canucks
6-3-0, 12pts
1
6 Moose
6-3-0, 12pts
Team Stats
L1SéquenceW2
5-1-0Fiche domicile3-2-0
1-2-0Fiche domicile3-1-0
6-3-0Derniers 10 matchs6-3-0
5.78Buts par match 4.33
3.11Buts contre par match 2.89
33.33%Pourcentage en avantage numérique27.27%
77.14%Pourcentage en désavantage numérique75.76%
Moose
6-3-0, 12pts
2026-09-27
Coachella Valley Firebirds
8-1-0, 16pts
Statistiques d’équipe
W2SéquenceW8
3-2-0Fiche domicile4-1-0
3-1-0Fiche visiteur4-0-0
6-3-010 derniers matchs8-1-0
4.33Buts par match 6.33
2.89Buts contre par match 6.33
27.27%Pourcentage en avantage numérique18.75%
75.76%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Riley Fiddler-SchultzButs
Riley Fiddler-Schultz
6
Ethan CardwellPasses
Ethan Cardwell
11
Ethan CardwellPoints
Ethan Cardwell
13
Brian HalonenPlus/Moins
Brian Halonen
8
Kevin MandoleseVictoires
Kevin Mandolese
6
Kevin MandolesePourcentage d’arrêts
Kevin Mandolese
0.918

Statistiques d’équipe
Buts pour
39
4.33 GFG
Tirs pour
415
46.11 Avg
Pourcentage en avantage numérique
27.3%
9 GF
Début de zone offensive
45.0%
Buts contre
26
2.89 GAA
Tirs contre
311
34.56 Avg
Pourcentage en désavantage numérique
75.8%%
8 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralKeven Langevin
EntraîneurSteve Potvin
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 60
Espoirs16


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
1Sam Poulin0X100.007340796384838658556259616365670476302621,000,000$
2Ethan Cardwell0XX100.006438816568887864586261636065670476302521,000,000$
3Brian Halonen0X100.006940796276828459555664586267690446202821,000,000$
4Riley Fiddler-Schultz0X100.006538876174858159605862576164660476202521,000,000$
5Aydar Suniev (R)0X100.00683893628078845953586056616364047620223925,000$
6Mason Shaw0XXX100.005869676267898758646159635768700476102821,000,000$
7Philippe Daoust0X100.005637906265738158676457565966670476102631,087,000$
8Alex Jefferies0X100.006439835773848256625958555765670476002521,000,000$
9Gabriel Szturc0X100.006237905971698155625756595863650476002331,000,000$
10Samuel Savoie0X100.006138825968798556545857555962640476002331,250,000$
11Colby Barlow (R)0X100.00633792587275715651535552586163047580223925,000$
12Jack D. Hughes0X100.005737865666678255585754535663650475802331,054,000$
13Scott Perunovich0X100.006138796765827866307259605268700476402921,000,000$
14Calen Addison0X100.005839766367728458306454564866680476002721,000,000$
15Connor Mackey0X100.007365635784808556305553584670720476003021,000,000$
16Aidan Fulp0X100.008141875390626954305550594566680475902721,000,000$
17Aleksi Heimosalmi0X100.006239815871668056305754554663650475902431,000,000$
18Michael Buchinger0X100.005938815668668055305354524662640475702331,000,000$
Rayé
1Nicolas Aube-Kubel0XX100.007362736677767963596160626372710326403121,000,000$
2Jujhar Khaira0XX100.008078695889737455595756605472740316103321,000,000$
3Bogdan Trineyev0X100.007039875583828456535758625664660316102521,000,000$
4Samu Tuomaala0X100.005838826067827158676457565963650316002431,000,000$
5William Lagesson0X100.007340806283827759306754604770720316303121,000,000$
6Blake Hillman0X100.006738955676647655305453574570720316003121,000,000$
MOYENNE D’ÉQUIPE100.0066438260747780584959575855666804361
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
1Kevin Mandolese0100.00747571827372747372747366750446502721,000,000$
Rayé
1Spencer Martin0100.00748479827372747372747371850366503221,000,000$
MOYENNE D’ÉQUIPE100.007480758273727473727473698004065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Potvin70647266797473CAN5122,500,000$


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
1Ethan CardwellMoose (WPG)LW/RW92111332015256111423.28%321023.360556290000190056.82%4400001.2411000010
2Riley Fiddler-SchultzMoose (WPG)C96713310011414052715.00%320222.482358290001201153.27%32100001.2900000101
3Mason ShawMoose (WPG)C/LW/RW96612660202446142513.04%416918.851129270001111057.99%16900001.4100000021
4Brian HalonenMoose (WPG)LW9551087522115413229.26%215517.260119180000161053.33%1500001.2900010110
5Sam PoulinMoose (WPG)LW94610110028935124611.43%320622.962244260002270054.55%1100000.9711000101
6Scott PerunovichMoose (WPG)D90997801511168150%1221924.40022729000026000%000000.8200000000
7Aidan FulpMoose (WPG)D9257220205167812.50%718420.51202923000024000%000000.7600000010
8Calen AddisonMoose (WPG)D93367601181541720.00%1021724.18011028000026000%000000.5500000010
9Connor MackeyMoose (WPG)D9336260272122925.00%1118320.37112424000121000%000000.6500000100
10Colby BarlowMoose (WPG)RW9156420812247164.17%115116.87101424000001050.00%1000000.7900000000
11Michael BuchingerMoose (WPG)D90552001576120%1313615.200000000004000%000000.7300000000
12Philippe DaoustMoose (WPG)C9145200628229284.55%012614.0701115000040154.43%15800000.7900000000
13Alex JefferiesMoose (WPG)LW922420089123816.67%1728.1000000000010071.43%700001.1000000100
14Aydar SunievMoose (WPG)LW9123640157239164.35%012013.4400000000050061.11%1800000.5000000001
15Gabriel SzturcMoose (WPG)C9202200715143914.29%1788.7700000000031057.47%8700000.5100000100
16Aleksi HeimosalmiMoose (WPG)D90112601354150%1014115.690000100007000%000000.1400000000
17Samuel SavoieMoose (WPG)LW9000-220427330%0364.01000000000000100.00%20000000000000
18Jack D. HughesMoose (WPG)C9000-200338120%0424.7400000000000071.43%140000000000000
Statistiques d’équipe totales ou en moyenne1623874112557152482244151133009.16%81265716.40917266127100052225255.72%85600000.8422010664
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
1Kevin MandoleseMoose (WPG)96300.9182.7752000242920001.000290001
Statistiques d’équipe totales ou en moyenne96300.9182.775200024292000290001


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aidan FulpMoose (WPG)D272000-02-29USANo216 Lbs193 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Aleksi HeimosalmiMoose (WPG)D242003-05-08FINNo181 Lbs183 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Alex JefferiesMoose (WPG)LW252001-11-08USANo195 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Aydar SunievMoose (WPG)LW222004-11-16RUSYes198 Lbs188 CMNoNoTrade2026-06-28NoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Blake HillmanMoose (WPG)D311996-01-26USANo193 Lbs185 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Bogdan TrineyevMoose (WPG)RW252002-03-04RUSNo198 Lbs191 CMNoNoTrade2025-09-01NoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Brian HalonenMoose (WPG)LW281999-01-11USANo207 Lbs183 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Calen AddisonMoose (WPG)D272000-04-11CANNo173 Lbs180 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Colby BarlowMoose (WPG)RW222005-02-14CANYes190 Lbs183 CMNoNoTrade2026-07-23NoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Connor MackeyMoose (WPG)D301996-09-12USANo205 Lbs191 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Ethan CardwellMoose (WPG)LW/RW252002-08-30CANNo180 Lbs180 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Gabriel SzturcMoose (WPG)C232003-09-24CZENo194 Lbs180 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jack D. HughesMoose (WPG)C232003-11-02USANo170 Lbs180 CMNoNoFree AgentNoNo32026-07-11FalseFalsePro & Farm1,054,000$0$0$No1,054,000$1,054,000$-------1,054,000$1,054,000$-------NoNo-------Lien / Lien NHL
Jujhar KhairaMoose (WPG)C/LW331994-08-13CANNo212 Lbs193 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Kevin MandoleseMoose (WPG)G272000-08-22CANNo180 Lbs193 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Mason ShawMoose (WPG)C/LW/RW281998-11-03CANNo184 Lbs178 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Michael BuchingerMoose (WPG)D232004-04-25CANNo178 Lbs180 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nicolas Aube-KubelMoose (WPG)C/RW311996-05-10CANNo213 Lbs183 CMNoNoTrade2026-06-29YesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Philippe DaoustMoose (WPG)C262001-05-11CANNo151 Lbs183 CMNoNoFree AgentNoNo32026-07-11FalseFalsePro & Farm1,087,000$0$0$No1,087,000$1,087,000$-------1,087,000$1,087,000$-------NoNo-------Lien / Lien NHL
Riley Fiddler-SchultzMoose (WPG)C252002-05-13CANNo200 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Sam PoulinMoose (WPG)LW262001-02-25CANNo217 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Samu TuomaalaMoose (WPG)RW242003-01-08FINNo174 Lbs180 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Samuel SavoieMoose (WPG)LW232004-03-25CANNo189 Lbs178 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien / Lien NHL
Scott PerunovichMoose (WPG)D291998-08-18USANo175 Lbs178 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Spencer MartinMoose (WPG)G321995-06-08CANNo191 Lbs191 CMNoNoTrade2026-07-23YesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
William LagessonMoose (WPG)D311996-02-22SWENo211 Lbs188 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.54191 Lbs185 CM2.351,009,269$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam PoulinRiley Fiddler-SchultzEthan Cardwell40122
2Brian HalonenMason ShawColby Barlow30122
3Aydar SunievPhilippe DaoustAlex Jefferies20122
4Samuel SavoieGabriel SzturcJack D. Hughes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison40122
2Connor MackeyAidan Fulp30122
3Aleksi HeimosalmiMichael Buchinger20122
4Scott PerunovichCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam PoulinRiley Fiddler-SchultzEthan Cardwell60122
2Brian HalonenMason ShawColby Barlow40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyAidan Fulp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley Fiddler-SchultzSam Poulin60122
2Mason ShawBrian Halonen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyAidan Fulp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Fiddler-Schultz60122Scott PerunovichCalen Addison60122
2Mason Shaw40122Connor MackeyAidan Fulp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley Fiddler-SchultzSam Poulin60122
2Mason ShawBrian Halonen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyAidan Fulp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam PoulinRiley Fiddler-SchultzEthan CardwellScott PerunovichCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brian HalonenMason ShawColby BarlowConnor MackeyAidan Fulp
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Fiddler-Schultz, Mason Shaw, Philippe DaoustRiley Fiddler-Schultz, Mason ShawRiley Fiddler-Schultz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Aidan Fulp, Aleksi Heimosalmi, Michael BuchingerAidan FulpAidan Fulp, Aleksi Heimosalmi
Tirs de pénalité
Ethan Cardwell, Sam Poulin, Brian Halonen, Aydar Suniev, Riley Fiddler-Schultz
Gardien
#1 : Kevin Mandolese, #2 :
Lignes d’attaque personnalisées en prolongation
Ethan Cardwell, Sam Poulin, Brian Halonen, Aydar Suniev, Riley Fiddler-Schultz, Mason Shaw, Philippe Daoust, Alex Jefferies, Samuel Savoie, Gabriel Szturc
Lignes de défense personnalisées en prolongation
Scott Perunovich, Calen Addison, Connor Mackey, Aidan Fulp, Aleksi Heimosalmi


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
1Abbotsford Canucks11000000615110000006150000000000021.000612180021116242131139139840154304250.00%2150.00%021738156.96%18432656.44%7613954.68%2491811895910556
2Bears1010000036-31010000036-30000000000000.0003580021116232131139139838112276233.33%110.00%021738156.96%18432656.44%7613954.68%2491811895910556
3Bruins11000000541000000000001100000054121.0005101500211162331311391398421414352150.00%7271.43%021738156.96%18432656.44%7613954.68%2491811895910556
4Charlotte Checkers11000000422110000004220000000000021.0004812002111623613113913983344264125.00%20100.00%021738156.96%18432656.44%7613954.68%2491811895910556
5Chicago Wolves1010000035-21010000035-20000000000000.00036900211162291311391398368817400.00%4250.00%021738156.96%18432656.44%7613954.68%2491811895910556
6Griffins10000010431000000000001000001043121.000461000211162371311391398421012317228.57%6183.33%021738156.96%18432656.44%7613954.68%2491811895910556
7Phantoms11000000615000000000001100000061521.00061117002111628213113913981736282150.00%30100.00%021738156.96%18432656.44%7613954.68%2491811895910556
8Toronto Marlies11000000716110000007160000000000021.0007142100211162911311391398243234100.00%10100.00%021738156.96%18432656.44%7613954.68%2491811895910556
9Wild1010000013-2000000000001010000013-200.0001230021116233131139139839131920300.00%7185.71%021738156.96%18432656.44%7613954.68%2491811895910556
Total9530001039261353200000231584210001016115120.6673974113002111624151311391398311817124833927.27%33875.76%021738156.96%18432656.44%7613954.68%2491811895910556
_Since Last GM Reset9530001039261353200000231584210001016115120.6673974113002111624151311391398311817124833927.27%33875.76%021738156.96%18432656.44%7613954.68%2491811895910556
_Vs Conference21100000743110000006151010000013-220.5007142100211162751311391398792823507228.57%9277.78%021738156.96%18432656.44%7613954.68%2491811895910556
_Vs Division1010000013-2000000000001010000013-200.0001230021116233131139139839131920300.00%7185.71%021738156.96%18432656.44%7613954.68%2491811895910556

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
912W23974113415311817124800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
95300103926
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002315
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42100101611
Derniers 10 matchs
WLOTWOTL SOWSOL
630000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33927.27%33875.76%0
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
1311391398211162
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
21738156.96%18432656.44%7613954.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2491811895910556


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-09-012Chicago Wolves5Moose3LSommaire du match
3 - 2026-09-0312Toronto Marlies1Moose7WSommaire du match
6 - 2026-09-0629Moose1Wild3LSommaire du match
8 - 2026-09-0840Charlotte Checkers2Moose4WSommaire du match
14 - 2026-09-1470Moose6Phantoms1WSommaire du match
16 - 2026-09-1684Moose4Griffins3WXXSommaire du match
21 - 2026-09-21111Bears6Moose3LSommaire du match
24 - 2026-09-24128Moose5Bruins4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
26 - 2026-09-26144Abbotsford Canucks1Moose6WSommaire du match
27 - 2026-09-27160Moose-Coachella Valley Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,624,100$ 2,624,100$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 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