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Moose
GP: 56 | W: 33 | L: 21 | OTL: 2 | P: 68
GF: 221 | GA: 186 | PP%: 21.90% | PK%: 77.44%
DG: Daniel Sarazin | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #915 vs Abbotsford Canucks

Centre de jeu
Moose
33-21-2, 68pts
4
2 Texas Stars
23-31-3, 49pts
Team Stats
L1SéquenceW1
17-10-1Fiche domicile12-13-1
16-11-1Fiche domicile11-18-2
7-3-0Derniers 10 matchs5-4-1
3.95Buts par match 2.75
3.32Buts contre par match 3.32
21.90%Pourcentage en avantage numérique16.44%
77.44%Pourcentage en désavantage numérique82.01%
Laval Rocket
30-25-2, 62pts
8
3 Moose
33-21-2, 68pts
Team Stats
W1SéquenceL1
13-13-2Fiche domicile17-10-1
17-12-0Fiche domicile16-11-1
6-3-1Derniers 10 matchs7-3-0
3.25Buts par match 3.95
3.30Buts contre par match 3.32
19.82%Pourcentage en avantage numérique21.90%
73.49%Pourcentage en désavantage numérique77.44%
Moose
33-21-2, 68pts
2026-02-25
Abbotsford Canucks
29-22-6, 64pts
Statistiques d’équipe
L1SéquenceW1
17-10-1Fiche domicile17-7-3
16-11-1Fiche visiteur12-15-3
7-3-010 derniers matchs6-3-1
3.95Buts par match 3.49
3.32Buts contre par match 3.49
21.90%Pourcentage en avantage numérique18.30%
77.44%Pourcentage en désavantage numérique80.08%
Moose
33-21-2, 68pts
2026-02-27
San Diego Gulls
22-28-6, 50pts
Statistiques d’équipe
L1SéquenceW2
17-10-1Fiche domicile8-14-4
16-11-1Fiche visiteur14-14-2
7-3-010 derniers matchs7-3-0
3.95Buts par match 3.09
3.32Buts contre par match 3.09
21.90%Pourcentage en avantage numérique24.39%
77.44%Pourcentage en désavantage numérique78.05%
Moose
33-21-2, 68pts
2026-03-01
San Jose Barracuda
30-19-6, 66pts
Statistiques d’équipe
L1SéquenceW4
17-10-1Fiche domicile14-9-3
16-11-1Fiche visiteur16-10-3
7-3-010 derniers matchs8-1-1
3.95Buts par match 3.36
3.32Buts contre par match 3.36
21.90%Pourcentage en avantage numérique19.18%
77.44%Pourcentage en désavantage numérique79.00%
Meneurs d'équipe
Nikita ChibrikovButs
Nikita Chibrikov
29
Ville HeinolaPasses
Ville Heinola
51
Brad LambertPoints
Brad Lambert
67
Ville HeinolaPlus/Moins
Ville Heinola
22
Arturs SilovsVictoires
Arturs Silovs
30
Arturs SilovsPourcentage d’arrêts
Arturs Silovs
0.9

Statistiques d’équipe
Buts pour
221
3.95 GFG
Tirs pour
1999
35.70 Avg
Pourcentage en avantage numérique
21.9%
46 GF
Début de zone offensive
41.2%
Buts contre
186
3.32 GAA
Tirs contre
1805
32.23 Avg
Pourcentage en désavantage numérique
77.4%%
44 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralDaniel Sarazin
EntraîneurMark Morrison
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,798
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 250
Espoirs39


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
1David Gustafsson0X100.00653995648073756282616067636567040640261925,000$
2Brad Lambert0XX100.00633784677287856469665863656264040640221925,000$
3Brendan Brisson0XXX100.00653979667481866367646160626466040640241925,000$
4Isak Rosen0X100.00603695667086876556626361666264040640231925,000$
5Nikita Chibrikov0XX100.00703681676488796461636662726264040640232925,000$
6Cameron Hebig0X100.00603883636985846467636261646870040630293925,000$
7Dominik Shine0X100.00684067656982856461635762597274040630333925,000$
8Anthony Angello0X100.00824374599174805863575661556971040620303925,000$
9Callahan Burke0X100.00583591636782835971605861596870040620293925,000$
10Tyson Kozak0X100.006539826369767762665960615863650406202311,000,000$
11Chaz Lucius0X100.00653791627478675969615558566264040610231925,000$
12Daniel Torgersson0XX100.00744090548367715355525156546365040590241925,000$
13Danil Zhilkin0X100.00663888567673785560545357556264040590222925,000$
14Calen Addison0X100.005840716567738563306658564865670406202612,162,000$
15Ville Heinola0X100.00613984637182716430636260506466040620251925,000$
16Anton Johansson (R)0X100.00724370588166615730645459466163040600223925,000$
17Elias Salomonsson (R)0X100.00603886626970695830635855476163040600223925,000$
18Simon Lundmark0X100.00723988568164855530545757456567040600251925,000$
19Ryan O'Rourke0X100.00613974567065845430555657456365040590241925,000$
20Tyrel Bauer0X100.00765661548564815330525556456365040590241925,000$
Rayé
1Jeff Malott0X100.00794370619184876265636164626971040650301925,000$
2Fabian Wagner (R)0X100.00553691566473685461535752566163040580223925,000$
3Dmitry Kuzmin0X100.00573787566865725530545751456264040580232925,000$
MOYENNE D’ÉQUIPE100.0066398261747678595360585956646604061
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
1Arturs Silovs0100.00778480877675777675777664710406702511,000,000$
2Domenic DiVincentiis (R)0100.0074767379737274737274736165040660223925,000$
Rayé
MOYENNE D’ÉQUIPE100.007680778375747675747675636804067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Morrison72616667968952CAN622300,000$


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
1Brad LambertMoose (WPG)C/RW5624436716180851891774713513.56%18126722.63614204418800041914152.54%189200011.0600000433
2Ville HeinolaMoose (WPG)D568515922280827310728497.48%93132523.6631114541870000158120%000000.8900000232
3Nikita ChibrikovMoose (WPG)LW/RW56292453132001071052278116812.78%7102018.238101847182000085052.94%8500011.0400000536
4David GustafssonMoose (WPG)C5525275215100291551916915613.09%14108219.6868144915301111072061.25%137300030.9611000413
5Isak RosenMoose (WPG)LW56222446162035841875612211.76%19113320.233691413010161592040.74%8100000.8100000153
6Cameron HebigMoose (WPG)RW56172744112005969179581219.50%7102518.31178391510000115044.95%10900010.8600000224
7Brendan BrissonMoose (WPG)C/LW/RW551131421516099107161561236.83%15107419.5457123815710151053047.40%17300000.7801000312
8Dominik ShineMoose (WPG)RW56152641518010585131399911.45%974713.3600004000001139.29%5600001.1000000134
9Calen AddisonMoose (WPG)D56112738173601056587256112.64%87138024.656511461830000154010%000000.5500000113
10Tyson KozakMoose (WPG)C56151429-312044100129278011.63%1772012.8600014000001249.88%85200100.8100000121
11Callahan BurkeMoose (WPG)RW56131528-120647111357511.71%1266411.8700000000003056.41%3900000.8400000001
12Anton JohanssonMoose (WPG)D56323266715146505313335.66%69113720.31257271490222120000%000000.4600100100
13Elias SalomonssonMoose (WPG)D5632225816034445519445.45%65117420.972810311570001145000%000000.4300000002
14Zachary L'HeureuxJetsLW1611718-5275863671154715.49%537123.1942614610114442051.72%2900000.9700100211
15Simon LundmarkMoose (WPG)D5621416111404229277137.41%5386615.48000217000061000%000000.3700000000
16Chaz LuciusMoose (WPG)C56571252010323682213.89%02734.8900002000022049.54%32500000.8800000000
17Mattias SamuelssonJetsD1511011-512054283413272.94%2234523.031231938000054000%000000.6400000000
18Tyrel BauerMoose (WPG)D542810285512826245148.33%4476714.210000000002000%000000.2600001000
19Anthony AngelloMoose (WPG)RW5626811404924317356.45%52925.2200017000000045.65%4600000.5500000000
20Alex LimogesJetsLW222440042103320.00%04723.7301112000041045.45%2200001.6900000100
21Daniel TorgerssonMoose (WPG)LW/RW56000200212120%0350.63000130000100050.00%20000000000000
22Ryan O'RourkeMoose (WPG)D40000-220733200%3781.970000300004000%00000000000000
23Danil ZhilkinMoose (WPG)C40000020000000%000.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne111722140862915342715131813542033614142910.87%5641683215.074786133428178824623134732753.52%508400160.7512201282535
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
1Arturs SilovsMoose (WPG)53302120.9003.1929956115915860011.0003524331
2Domenic DiVincentiisMoose (WPG)103000.8814.19372002621800000452000
Statistiques d’équipe totales ou en moyenne63332120.8973.30336861185180400135656331


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
Anthony AngelloMoose (WPG)RW301996-03-06USANo210 Lbs6 ft5NoNoFree AgentYesYes32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Anton JohanssonMoose (WPG)D222004-06-10SWEYes172 Lbs6 ft4NoNoAssign ManuallyNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Arturs SilovsMoose (WPG)G252001-03-22LVANo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Brad LambertMoose (WPG)C/RW222003-12-19FINNo173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Brendan BrissonMoose (WPG)C/LW/RW242001-10-22USANo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Calen Addison (contrat à 1 volet)Moose (WPG)D262000-04-11CANNo173 Lbs5 ft11NoNoN/AYesYes1FalseFalsePro & Farm2,162,000$2,162,000$582,508$No---------------------------Lien / Lien NHL
Callahan BurkeMoose (WPG)RW291997-03-19USANo183 Lbs5 ft10NoNoFree AgentYesYes32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cameron HebigMoose (WPG)RW291997-01-21CANNo184 Lbs5 ft11NoNoFree AgentYesYes32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Chaz LuciusMoose (WPG)C232003-05-02USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Daniel TorgerssonMoose (WPG)LW/RW242002-01-26SWENo199 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Danil ZhilkinMoose (WPG)C222003-12-19CANNo192 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
David GustafssonMoose (WPG)C262000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo12025-04-21FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Dmitry KuzminMoose (WPG)D232003-04-23BLRNo188 Lbs5 ft10NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Domenic DiVincentiisMoose (WPG)G222004-03-04CANYes191 Lbs6 ft2NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Dominik ShineMoose (WPG)RW331993-04-18USANo180 Lbs5 ft11NoNoFree AgentYesYes32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Elias SalomonssonMoose (WPG)D222004-08-31SWEYes172 Lbs6 ft0NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Fabian WagnerMoose (WPG)C222004-05-07SWEYes170 Lbs5 ft10NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Isak RosenMoose (WPG)LW232003-03-15SWENo180 Lbs6 ft0NoNoTrade2025-08-15NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jeff MalottMoose (WPG)LW301996-08-07CANNo208 Lbs6 ft5NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nikita ChibrikovMoose (WPG)LW/RW232003-02-16RUSNo170 Lbs5 ft10NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ryan O'RourkeMoose (WPG)D242002-05-16CANNo178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Simon LundmarkMoose (WPG)D252000-10-08SWENo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Tyrel BauerMoose (WPG)D242002-03-23CANNo206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Tyson KozakMoose (WPG)C232002-12-29CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Ville HeinolaMoose (WPG)D252001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.84187 Lbs6 ft11.76980,480$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenBrad LambertCameron Hebig40122
2Brendan BrissonDavid GustafssonNikita Chibrikov30122
3Callahan BurkeTyson KozakDominik Shine20122
4Isak RosenChaz LuciusAnthony Angello10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonVille Heinola40122
2Anton JohanssonElias Salomonsson30122
3Simon LundmarkTyrel Bauer20122
4Tyrel BauerCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenBrad LambertNikita Chibrikov60122
2Brendan BrissonDavid GustafssonCameron Hebig40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonVille Heinola60122
2Anton JohanssonElias Salomonsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertIsak Rosen60122
2David GustafssonBrendan Brisson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonVille Heinola60122
2Anton JohanssonElias Salomonsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Lambert60122Calen AddisonVille Heinola60122
2David Gustafsson40122Anton JohanssonElias Salomonsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertIsak Rosen60122
2David GustafssonBrendan Brisson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonVille Heinola60122
2Anton JohanssonElias Salomonsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita ChibrikovBrad LambertBrendan BrissonCalen AddisonVille Heinola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isak RosenTyson KozakDominik ShineCalen AddisonVille Heinola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Isak Rosen, David Gustafsson, Cameron HebigIsak Rosen, David GustafssonIsak Rosen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Lundmark, Calen Addison, Tyrel BauerSimon LundmarkSimon Lundmark, Calen Addison
Tirs de pénalité
David Gustafsson, Brendan Brisson, Nikita Chibrikov, Brad Lambert, Isak Rosen
Gardien
#1 : Arturs Silovs, #2 : Domenic DiVincentiis
Lignes d’attaque personnalisées en prolongation
Tyson Kozak, Brendan Brisson, Nikita Chibrikov, Brad Lambert, Isak Rosen, David Gustafsson, Cameron Hebig, Dominik Shine, Anthony Angello, Callahan Burke
Lignes de défense personnalisées en prolongation
Calen Addison, Ville Heinola, Anton Johansson, Elias Salomonsson, Simon Lundmark


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 Canucks1010000046-2000000000001010000046-200.000471100977348348691643659840616265120.00%8450.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
2Admirals2020000068-21010000023-11010000045-100.000611170097734836469164365984613124113323.08%6183.33%01127208754.00%1101204753.79%49393452.78%13639531295411714359
3Bears220000001459110000008171100000064241.00014243800977348390691643659860158532150.00%4250.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
4Belleville Senators21001000734110000005231000100021141.00071320009773483576916436598592016558225.00%80100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
5Bridgeport Islanders20200000410-61010000015-41010000035-200.0004812109773483796916436598662310419111.11%4175.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
6Bruins11000000523110000005230000000000021.000510150097734834369164365983124292150.00%20100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
7Calgary Wranglers31200000815-71010000037-42110000058-320.333815230097734839769164365989744307215213.33%15660.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
8Charlotte Checkers211000007521010000023-11100000052320.50071219009773483876916436598472118487114.29%80100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
9Chicago Wolves210001007521000010034-11100000041330.7507111800977348370691643659861151642400.00%8275.00%11127208754.00%1101204753.79%49393452.78%13639531295411714359
10Cleveland Monsters11000000312110000003120000000000021.0003690097734832969164365983244293266.67%20100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
11Coachella Valley Firebirds21100000541110000003121010000023-120.50059140097734838269164365987126144413323.08%70100.00%11127208754.00%1101204753.79%49393452.78%13639531295411714359
12Colorado Eagles11000000321000000000001100000032121.000369009773483386916436598238428400.00%20100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
13Condors33000000187112200000012571100000062461.00018345200977348314369164365988824225610330.00%100100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
14Griffins2110000010911010000046-21100000063320.500101626009773483676916436598601924378337.50%10280.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
15Henderson Silver Knights1010000024-21010000024-20000000000000.000246009773483426916436598236625200.00%3166.67%01127208754.00%1101204753.79%49393452.78%13639531295411714359
16IceHogs220000001275110000005321100000074341.0001221330097734837769164365985120104010110.00%5180.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
17Iowa Wild412001001516-12110000064220100100912-330.375152641009773483127691643659814234169314642.86%8187.50%01127208754.00%1101204753.79%49393452.78%13639531295411714359
18Laval Rocket21100000121201010000038-51100000094520.5001221330097734837569164365987826223911436.36%11372.73%01127208754.00%1101204753.79%49393452.78%13639531295411714359
19Ontario Reign320000101293210000109721100000032161.000122032009773483100691643659810434376014214.29%16475.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
20Phantoms1010000013-2000000000001010000013-200.0001230097734832569164365983951027000%5180.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
21Rochester Americans21100000761110000005141010000025-320.50071320009773483576916436598873018515120.00%9188.89%01127208754.00%1101204753.79%49393452.78%13639531295411714359
22San Diego Gulls11000000541000000000001100000054121.000591400977348342691643659836132272150.00%10100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
23San Jose Barracuda11000000312000000000001100000031221.000358009773483216916436598301162322100.00%20100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
24Syracruse Crunch11000000514000000000001100000051421.000591400977348338691643659825126196233.33%30100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
25Texas Stars3210000014952110000010731100000042240.6671427410097734831056916436598122311860700.00%8187.50%01127208754.00%1101204753.79%49393452.78%13639531295411714359
26Thunderbirds21100000712-5110000006511010000017-620.5007142100977348365691643659881192251500.00%11554.55%01127208754.00%1101204753.79%49393452.78%13639531295411714359
27Toronto Marlies21100000853110000006241010000023-120.500816240097734836769164365985014153712216.67%50100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
28Tucson Roadrunners2020000019-81010000016-51010000003-300.000123009773483496916436598702316421200.00%8625.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
29Utica Comets220000001129110000005051100000062441.00011182901977348382691643659846119493266.67%20100.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
30Wilkes-Barre Penguins10001000541100010005410000000000021.000591400977348333691643659840131020200.00%4250.00%01127208754.00%1101204753.79%49393452.78%13639531295411714359
Total5630210221022118635281510011101149123281511011001079512680.60722139861911977348319996916436598180554242112642104621.90%1954477.44%21127208754.00%1101204753.79%49393452.78%13639531295411714359
_Since Last GM Reset5630210221022118635281510011101149123281511011001079512680.60722139861911977348319996916436598180554242112642104621.90%1954477.44%21127208754.00%1101204753.79%49393452.78%13639531295411714359
_Vs Conference311613001101151132158600010595271687001005661-5350.5651152103250097734831100691643659810243122316881282418.75%1103072.73%11127208754.00%1101204753.79%49393452.78%13639531295411714359
_Vs Division1678001005863-58440000030282834001002835-7150.46958107165009773483525691643659853514898355651015.38%481568.75%01127208754.00%1101204753.79%49393452.78%13639531295411714359

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5668L122139861919991805542421126411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5630212210221186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
281510111011491
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
281511110010795
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2104621.90%1954477.44%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
69164365989773483
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
1127208754.00%1101204753.79%49393452.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13639531295411714359


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 - 2025-10-0917Texas Stars3Moose7WSommaire du match
5 - 2025-10-1122Ontario Reign3Moose4WSommaire du match
7 - 2025-10-1342Moose3Bridgeport Islanders5LSommaire du match
10 - 2025-10-1666Moose1Phantoms3LSommaire du match
12 - 2025-10-1884Admirals3Moose2LSommaire du match
14 - 2025-10-2096Moose2Calgary Wranglers6LSommaire du match
17 - 2025-10-23120Coachella Valley Firebirds1Moose3WSommaire du match
18 - 2025-10-24126Calgary Wranglers7Moose3LSommaire du match
20 - 2025-10-26143Tucson Roadrunners6Moose1LSommaire du match
22 - 2025-10-28157Moose5Iowa Wild6LXSommaire du match
24 - 2025-10-30174IceHogs3Moose5WSommaire du match
26 - 2025-11-01182Wilkes-Barre Penguins4Moose5WXSommaire du match
29 - 2025-11-04212Moose3Ontario Reign2WSommaire du match
32 - 2025-11-07230Moose3San Jose Barracuda1WSommaire du match
34 - 2025-11-09251Moose5San Diego Gulls4WSommaire du match
36 - 2025-11-11263Moose4Abbotsford Canucks6LSommaire du match
38 - 2025-11-13278Moose2Coachella Valley Firebirds3LSommaire du match
40 - 2025-11-15294Moose3Calgary Wranglers2WSommaire du match
43 - 2025-11-18311Cleveland Monsters1Moose3WSommaire du match
46 - 2025-11-21333Chicago Wolves4Moose3LXSommaire du match
48 - 2025-11-23348Iowa Wild2Moose5WSommaire du match
51 - 2025-11-26367Moose6Bears4WSommaire du match
53 - 2025-11-28387Moose4Chicago Wolves1WSommaire du match
54 - 2025-11-29397Moose4Admirals5LSommaire du match
56 - 2025-12-01408Moose2Rochester Americans5LSommaire du match
58 - 2025-12-03422Moose9Laval Rocket4WSommaire du match
60 - 2025-12-05437Rochester Americans1Moose5WSommaire du match
61 - 2025-12-06450Moose6Condors2WSommaire du match
64 - 2025-12-09473Texas Stars4Moose3LSommaire du match
66 - 2025-12-11489Bruins2Moose5WSommaire du match
68 - 2025-12-13503Bears1Moose8WSommaire du match
70 - 2025-12-15516Belleville Senators2Moose5WSommaire du match
72 - 2025-12-17531Moose1Thunderbirds7LSommaire du match
74 - 2025-12-19546Moose3Colorado Eagles2WSommaire du match
76 - 2025-12-21569Moose0Tucson Roadrunners3LSommaire du match
82 - 2025-12-27594Iowa Wild2Moose1LSommaire du match
84 - 2025-12-29609Condors3Moose5WSommaire du match
86 - 2025-12-31626Moose6Griffins3WSommaire du match
87 - 2026-01-01634Moose2Toronto Marlies3LSommaire du match
89 - 2026-01-03650Moose2Belleville Senators1WXSommaire du match
92 - 2026-01-06673Henderson Silver Knights4Moose2LSommaire du match
94 - 2026-01-08690Condors2Moose7WSommaire du match
95 - 2026-01-09695Ontario Reign4Moose5WXXSommaire du match
97 - 2026-01-11711Utica Comets0Moose5WSommaire du match
99 - 2026-01-13732Bridgeport Islanders5Moose1LSommaire du match
101 - 2026-01-15744Moose4Iowa Wild6LSommaire du match
103 - 2026-01-17762Toronto Marlies2Moose6WSommaire du match
105 - 2026-01-19776Moose7IceHogs4WSommaire du match
106 - 2026-01-20785Thunderbirds5Moose6WSommaire du match
108 - 2026-01-22799Charlotte Checkers3Moose2LSommaire du match
110 - 2026-01-24815Griffins6Moose4LSommaire du match
113 - 2026-01-27835Moose6Utica Comets2WSommaire du match
115 - 2026-01-29847Moose5Syracruse Crunch1WSommaire du match
117 - 2026-01-31862Moose5Charlotte Checkers2WSommaire du match
119 - 2026-02-02882Moose4Texas Stars2WSommaire du match
121 - 2026-02-04895Laval Rocket8Moose3LSommaire du match
142 - 2026-02-25915Moose-Abbotsford Canucks-
144 - 2026-02-27933Moose-San Diego Gulls-
146 - 2026-03-01950Moose-San Jose Barracuda-
148 - 2026-03-03964IceHogs-Moose-
150 - 2026-03-05980Syracruse Crunch-Moose-
152 - 2026-03-07996Abbotsford Canucks-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101022San Diego Gulls-Moose-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141045Colorado Eagles-Moose-
160 - 2026-03-151057Thunderbirds-Moose-
162 - 2026-03-171071Admirals-Moose-
164 - 2026-03-191083Moose-Bruins-
166 - 2026-03-211099Moose-Wilkes-Barre Penguins-
167 - 2026-03-221110Moose-Wolf Pack-
169 - 2026-03-241131Henderson Silver Knights-Moose-
171 - 2026-03-261145Colorado Eagles-Moose-
173 - 2026-03-281162Moose-Colorado Eagles-
176 - 2026-03-311186Moose-IceHogs-
178 - 2026-04-021198Moose-Texas Stars-
180 - 2026-04-041215Moose-Cleveland Monsters-
182 - 2026-04-061230Coachella Valley Firebirds-Moose-
185 - 2026-04-091253Moose-Thunderbirds-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131290Moose-Henderson Silver Knights-
190 - 2026-04-141297Moose-Tucson Roadrunners-
192 - 2026-04-161308San Jose Barracuda-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance52,06626,289
Assistance PCT92.98%93.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-26 2798 - 93.28% 115,582$3,236,303$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,858,230$ 2,235,000$ 2,235,000$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,639,041$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,502,569$ 52 13,135$ 683,020$




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