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Moose
GP: 30 | W: 19 | L: 10 | OTL: 1 | P: 39
GF: 110 | GA: 87 | PP%: 13.95% | PK%: 72.83%
DG: Eric Pilon | Morale : 61 | Moyenne d’équipe : 64
Prochains matchs #461 vs Marlies

Centre de jeu
Moose
19-10-1, 39pts
3
2 Condors
13-10-5, 31pts
Team Stats
L1SéquenceOTL1
8-5-1Fiche domicile6-6-2
11-5-0Fiche domicile7-4-3
7-2-1Derniers 10 matchs1-5-4
3.67Buts par match 3.18
2.90Buts contre par match 3.36
13.95%Pourcentage en avantage numérique22.50%
72.83%Pourcentage en désavantage numérique77.17%
Moose
19-10-1, 39pts
4
5 Comets
11-18-1, 23pts
Team Stats
L1SéquenceW3
8-5-1Fiche domicile9-6-0
11-5-0Fiche domicile2-12-1
7-2-1Derniers 10 matchs6-4-0
3.67Buts par match 2.70
2.90Buts contre par match 3.97
13.95%Pourcentage en avantage numérique25.27%
72.83%Pourcentage en désavantage numérique66.29%
Marlies
16-8-3, 35pts
2025-10-28
Moose
19-10-1, 39pts
Statistiques d’équipe
L1SéquenceL1
9-3-3Fiche domicile8-5-1
7-5-0Fiche visiteur11-5-0
3-6-110 derniers matchs7-2-1
3.11Buts par match 3.67
2.78Buts contre par match 3.67
25.32%Pourcentage en avantage numérique13.95%
80.00%Pourcentage en désavantage numérique72.83%
Moose
19-10-1, 39pts
2025-10-31
Admirals
9-17-3, 21pts
Statistiques d’équipe
L1SéquenceL2
8-5-1Fiche domicile4-9-0
11-5-0Fiche visiteur5-8-3
7-2-110 derniers matchs3-7-0
3.67Buts par match 2.28
2.90Buts contre par match 2.28
13.95%Pourcentage en avantage numérique18.42%
72.83%Pourcentage en désavantage numérique72.73%
Checkers
18-7-3, 39pts
2025-11-01
Moose
19-10-1, 39pts
Statistiques d’équipe
W2SéquenceL1
10-3-1Fiche domicile8-5-1
8-4-2Fiche visiteur11-5-0
7-2-110 derniers matchs7-2-1
3.71Buts par match 3.67
2.86Buts contre par match 3.67
20.51%Pourcentage en avantage numérique13.95%
90.54%Pourcentage en désavantage numérique72.83%
Meneurs d'équipe
Buts
Pavel Kraskovsky
13
Passes
Pavel Kraskovsky
15
Points
Pavel Kraskovsky
28
Plus/Moins
Daniel Sprong
16
Victoires
Dylan Wells
17
Pourcentage d’arrêts
Dylan Wells
0.9

Statistiques d’équipe
Buts pour
110
3.67 GFG
Tirs pour
904
30.13 Avg
Pourcentage en avantage numérique
14.0%
12 GF
Début de zone offensive
39.4%
Buts contre
87
2.90 GAA
Tirs contre
837
27.90 Avg
Pourcentage en désavantage numérique
72.8%%
25 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralEric Pilon
EntraîneurRick Tocchet
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineSami Vatanen
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite Contrat51 / 56
Espoirs41


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
1Daniel Sprong0XX100.0060459774727283716269706868756646686702911,200,000$
2Warren Foegele0XXX100.0066458672708088717072736767805550676703022,500,000$
3Pavel Kraskovsky0X99.0081696772707980707576706669695850696703011,200,000$
4Nils Aman0X100.0068459376697380607572688166644862556602611,300,000$
5Maxim Mamin0XXX100.0069459171746976757270747570605038696603111,300,000$
6Anthony Richard0XX100.0077467072677778707468726762685850506602931,300,000$
7Frederik Gauthier0X100.0059459771797585727970667063685038646503111,300,000$
8Sergey Tolchinsky0XX100.006746927166737471596971706968593870650311900,000$
9Rasmus Kupari0XXX100.006545918572707770746561705969496269650261900,000$
10Julius Nattinen0X100.0072458472707274687971627359645250496402931,000,000$
11Nikita Grebenkin (R)0X100.007050827472728370507268716250457052630231900,000$
12Sami Vatanen (C)0X100.0060459971697272684568646962816938696603511,500,000$
13Simon Despres0X100.0064459469777076704566657363655326696503531,200,000$
14Brendan Guhle0X100.0067448772707373664568657354625254586502911,100,000$
15Albert Johansson (R)0X100.006645917269749071456966756060456069650253900,000$
16Brandon Gormley0X100.0056459570727276694566677062715238696403411,200,000$
17Maxim Groshev (R)0X100.006948837171696967456766706345467069630243750,000$
Rayé
1Mason Shaw0XXX100.0073678372677489717972717168635354546602711,000,000$
2Michael Amadio0X94.0053459772717992668473677172815150676603011,700,000$
3Nick Sorensen0XX100.0060468872726068676466666660775846206303211,000,000$
4Sven Andrighetto0XX100.0056429968697479695767706964675430486303321,200,000$
5Lias Andersson0XX100.005945887269697266686767606066475420620282700,000$
6Michal Teply0XX100.006545897270726869607160685647456620620252750,000$
7Valentin Nussbaumer0X100.006445907266707068706865675945457020620262750,000$
8Judd Caulfield (R)0XX100.007048867072707067596667696448497020620253750,000$
9Jeremy Bracco0XX100.006145927268657063666460656062535420610293700,000$
10Chad Krys0X100.007050867068716659456063705755515422620281800,000$
11Ruben Rafkin0X100.006645737269706867456458695445456620610242750,000$
MOYENNE D’ÉQUIPE99.75654788727072776862686770636352525164
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
1Dylan Wells097.008487837979808280818483565754616602811,000,000$
2Felix Sandstrom0100.00858371797872777373727757695076630292900,000$
Rayé
1Amir Miftakhov (R)0100.00767169757676767676767659596035620263750,000$
2Keith Petruzzelli0100.00767575797574757675767745457035610272750,000$
MOYENNE D’ÉQUIPE99.2580797578777678767677785458595263
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet85817865999937CAN612100,000$


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
1Pavel KraskovskyMoose (Win)C3013152814260745573234617.81%154818.281569760000163051.49%70700101.0200000423
2Daniel SprongMoose (Win)LW/RW30101323164062274235813.51%456018.7001110750002331048.00%5000000.8201000120
3Sergey TolchinskyMoose (Win)LW/RW301013231295113267226214.93%648716.253031173000013040.54%3700000.9400001061
4Warren FoegeleMoose (Win)C/LW/RW301012221440102984214211.90%349716.590221443000011156.14%5700000.8800000301
5Albert JohanssonMoose (Win)D307142116200242744122915.91%3966622.213361873000165200%000000.6300000022
6Simon DespresMoose (Win)D30513181110020152251222.73%3855418.49000420000067010%000000.6500000201
7Brandon GormleyMoose (Win)D3031417118012242961810.34%4360020.00000210000170000%000000.5700000000
8Michael AmadioMoose (Win)C295121711004515116419.80%346916.20000000001721060.48%58700000.7211000002
9Mason ShawMoose (Win)C/LW/RW274121612381035185919526.78%442715.840441067000021060.48%12400000.7500110000
10Maxim GroshevMoose (Win)D30410148240391331101712.90%2859119.73213187100003000%000000.4700000101
11Maxim MaminMoose (Win)C/LW/RW308614520253262225912.90%345715.26011290002691055.88%3400100.6100000102
12Nils AmanMoose (Win)C2876131100154552193313.46%641714.91000000002502048.40%43800000.6200000101
13Rasmus KupariMoose (Win)C/LW/RW30481202020247015465.71%240913.6411220720001100162.75%5100000.5901000110
14Sami VatanenMoose (Win)D3048121680191833142012.12%2062720.911121869000030110%000000.3800000110
15Brendan GuhleMoose (Win)D2839125200311930101710.00%3351918.541121353000048010%000000.4600000022
16Julius NattinenMoose (Win)C174711716015202481316.67%219411.4400000000001053.98%22600001.1300000110
17Frederik GauthierMoose (Win)C2546106405153372912.12%224910.00000130001340059.01%16100000.8000000100
18Nikita GrebenkinMoose (Win)RW1717821151812254194.00%119411.4500000000000052.94%1700000.8200100000
19Anthony RichardMoose (Win)LW/RW18257200187268187.69%020011.14022930000001025.00%2000000.7000000011
20Sven AndrighettoMoose (Win)LW/RW1914522054143127.14%01528.0500002000000025.00%400000.6500000000
21Chad KrysMoose (Win)D2011100211000%33819.180000300003000%000000.5200000000
Statistiques d’équipe totales ou en moyenne5401091953041722182040848390426764312.06%241886616.421222341597570001158418554.12%251300200.6913211171817
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
1Dylan WellsMoose (Win)2617710.9002.82146942696930001.0003264200
2Felix SandstromMoose (Win)72300.8813.05335001714300100426000
Statistiques d’équipe totales ou en moyenne33191010.8972.861804428683600133030200


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
Albert JohanssonMoose (Win)D252001-01-04SWEYes195 Lbs6 ft0NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Amir MiftakhovMoose (Win)G262000-04-26RUSYes181 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Anthony RichardMoose (Win)LW/RW291996-12-20CANNo176 Lbs5 ft10NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Brandon GormleyMoose (Win)D341992-02-18CANNo196 Lbs6 ft2NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Brendan GuhleMoose (Win)D291997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Chad KrysMoose (Win)D281998-04-10USANo185 Lbs6 ft0NoNoN/ANoNo12025-05-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Daniel SprongMoose (Win)LW/RW291997-03-17NLDNo194 Lbs6 ft0NoNoFree Agent2024-04-29NoNo12026-07-08FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Dylan WellsMoose (Win)G281998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Felix SandstromMoose (Win)G291997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Frederik GauthierMoose (Win)C311995-04-26CANNo238 Lbs6 ft5NoNoFree AgentNoNo12025-07-03FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Jeremy BraccoMoose (Win)LW/RW291997-03-17USANo185 Lbs5 ft11NoNoN/ANoNo32026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Judd CaulfieldMoose (Win)LW/RW252001-03-19USAYes207 Lbs6 ft3NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Julius NattinenMoose (Win)C291997-01-14FINNo192 Lbs6 ft2NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Keith PetruzzelliMoose (Win)G271999-02-09USANo185 Lbs6 ft5NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Lias AnderssonMoose (Win)LW/RW281998-10-13SWENo185 Lbs6 ft1NoNoN/ANoNo22026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Mason ShawMoose (Win)C/LW/RW271998-11-03CANNo184 Lbs5 ft10NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Maxim GroshevMoose (Win)D242001-12-14RUSYes198 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Maxim MaminMoose (Win)C/LW/RW311995-01-13RUSNo209 Lbs6 ft2NoNoFree AgentNoNo12025-07-03FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Michael Amadio (sur la masse salariale)Moose (Win)C301996-05-13CANNo204 Lbs6 ft1NoNoWaiver2024-08-18NoNo12025-05-28FalseFalsePro & Farm1,700,000$0$0$Yes---------------------------Lien
Michal TeplyMoose (Win)LW/RW252001-05-27CZENo187 Lbs6 ft3NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nick SorensenMoose (Win)LW/RW321994-10-23DNKNo182 Lbs6 ft1NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Nikita GrebenkinMoose (Win)RW232003-05-02RUSYes210 Lbs6 ft2NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Nils AmanMoose (Win)C262000-02-07SWENo179 Lbs6 ft2NoNoFree AgentNoNo12025-05-28FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Pavel KraskovskyMoose (Win)C301996-09-11RUSNo185 Lbs6 ft4NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Rasmus KupariMoose (Win)C/LW/RW262000-03-15FINNo201 Lbs6 ft2NoNoProspectNoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ruben RafkinMoose (Win)D242002-01-08FINNo190 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Sami VatanenMoose (Win)D351991-06-03FINNo185 Lbs5 ft10NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Sergey TolchinskyMoose (Win)LW/RW311995-02-03RUSNo163 Lbs5 ft9NoNoFree Agent2025-10-28NoNo12026-07-08FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Simon DespresMoose (Win)D351991-07-27CANNo218 Lbs6 ft4NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Sven AndrighettoMoose (Win)LW/RW331993-03-21CHENo187 Lbs5 ft10NoNoFree Agent2024-06-25NoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Valentin NussbaumerMoose (Win)C262000-09-25SUINo165 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Warren FoegeleMoose (Win)C/LW/RW301996-04-01CANNo198 Lbs6 ft2NoNoWaiver2025-12-10NoNo22025-05-28FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.56192 Lbs6 ft11.751,060,938$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergey TolchinskyPavel KraskovskyWarren Foegele30023
2Daniel SprongJulius NattinenNils Aman25023
3Maxim MaminRasmus Kupari25023
4Nikita GrebenkinFrederik Gauthier20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami VatanenAlbert Johansson35041
2Brandon GormleyMaxim Groshev35041
3Simon DespresBrendan Guhle30041
4Sami VatanenAlbert Johansson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim MaminPavel KraskovskyWarren Foegele50005
2Rasmus KupariDaniel SprongSergey Tolchinsky50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxim Groshev50014
2Sami VatanenSimon Despres50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel KraskovskyMaxim Mamin50050
2Rasmus Kupari50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonSami Vatanen50050
2Simon DespresBrandon Gormley50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pavel Kraskovsky50050Albert JohanssonSami Vatanen50050
2Maxim Mamin50050Simon DespresBrandon Gormley50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel Kraskovsky50023
2Maxim MaminRasmus Kupari50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami VatanenMaxim Groshev50041
2Albert JohanssonSimon Despres50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongPavel KraskovskyRasmus KupariAlbert JohanssonMaxim Groshev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim MaminPavel KraskovskyDaniel SprongAlbert JohanssonSimon Despres
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxim Mamin, Nikita Grebenkin, Pavel KraskovskyMaxim Mamin, Pavel KraskovskyMaxim Mamin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Vatanen, Albert Johansson, Simon DespresAlbert JohanssonAlbert Johansson, Simon Despres
Tirs de pénalité
, Maxim Mamin, Rasmus Kupari, Nikita Grebenkin, Pavel Kraskovsky
Gardien
#1 : Dylan Wells, #2 : Felix Sandstrom


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
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Americans22000000954220000009540000000000041.00091625003838313503272892829561717233133.33%6266.67%051898352.70%55298356.15%29053254.51%702482706224398199
2Bears1010000034-1000000000001010000034-100.000358003838313293272892829264914100.00%220.00%051898352.70%55298356.15%29053254.51%702482706224398199
3BruinsF4220000013121211000006512110000077040.50013233600383831312332728928291133927691200.00%9188.89%051898352.70%55298356.15%29053254.51%702482706224398199
4Checkers1000010023-11000010023-10000000000010.5002460038383131632728928293441211100.00%6183.33%051898352.70%55298356.15%29053254.51%702482706224398199
5Comets3210000017981100000071621100000108240.6671732490038383139632728928299027323812541.67%15380.00%051898352.70%55298356.15%29053254.51%702482706224398199
6Condors21001000743110000004221000100032141.000713200038383138132728928295417231600.00%10100.00%051898352.70%55298356.15%29053254.51%702482706224398199
7Crunch2110000034-1110000003211010000002-220.5003580038383134832728928296216628600.00%3166.67%051898352.70%55298356.15%29053254.51%702482706224398199
8Eagles10001000541100010005410000000000021.000581300383831342327289282935132519500.00%5180.00%051898352.70%55298356.15%29053254.51%702482706224398199
9Firebirds2110000078-11010000024-21100000054120.500713201038383136032728928294810821600.00%4175.00%051898352.70%55298356.15%29053254.51%702482706224398199
10Gulls1010000024-21010000024-20000000000000.000235003838313133272892829378121611100.00%6183.33%051898352.70%55298356.15%29053254.51%702482706224398199
11Islanders20100010810-20000000000020100010810-220.5008132100383831371327289282958814319111.11%7357.14%051898352.70%55298356.15%29053254.51%702482706224398199
12Marlies211000006511010000034-11100000031220.5006101600383831354327289282944208275240.00%4250.00%051898352.70%55298356.15%29053254.51%702482706224398199
13PenguinsF22000000826000000000002200000082641.0008132101383831372327289282949201827700.00%9188.89%051898352.70%55298356.15%29053254.51%702482706224398199
14Phantoms2200000011380000000000022000000113841.00011203100383831373327289282952171025400.00%5260.00%051898352.70%55298356.15%29053254.51%702482706224398199
15Silver Knights1010000037-41010000037-40000000000000.0003580038383132432728928291941010200.00%4325.00%051898352.70%55298356.15%29053254.51%702482706224398199
16Wolf Pack11000000202110000002020000000000021.00024601383831326327289282930847200.00%20100.00%051898352.70%55298356.15%29053254.51%702482706224398199
17Wranglers11000000431000000000001100000043121.00048120038383132632728928293098114250.00%4175.00%051898352.70%55298356.15%29053254.51%702482706224398199
Total30161002110110872314750110048417169501010624616390.6501101953051238383139043272892829837241222408861213.95%922572.83%051898352.70%55298356.15%29053254.51%702482706224398199
_Since Last GM Reset30161002110110872314750110048417169501010624616390.6501101953051238383139043272892829837241222408861213.95%922572.83%051898352.70%55298356.15%29053254.51%702482706224398199
_Vs Conference2414800110896524106300100342410148500010554114310.64689158247123838313718327289282966219016532168913.24%721973.61%051898352.70%55298356.15%29053254.51%702482706224398199

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3039L111019530590483724122240812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
301610211011087
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147511004841
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
169510106246
Derniers 10 matchs
WLOTWOTL SOWSOL
422110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
861213.95%922572.83%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
32728928293838313
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
51898352.70%55298356.15%29053254.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
702482706224398199


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 - 2025-08-285Moose1PenguinsF0WSommaire du match
2 - 2025-08-2917BruinsF3Moose2LSommaire du match
4 - 2025-08-3133Americans2Moose4WSommaire du match
6 - 2025-09-0245Moose0Crunch2LSommaire du match
7 - 2025-09-0362Moose3BruinsF2WSommaire du match
9 - 2025-09-0577Comets1Moose7WSommaire du match
12 - 2025-09-08100Crunch2Moose3WSommaire du match
14 - 2025-09-10115Moose7PenguinsF2WSommaire du match
17 - 2025-09-13131Wolf Pack0Moose2WSommaire du match
19 - 2025-09-15154Firebirds4Moose2LSommaire du match
21 - 2025-09-17161Moose5Firebirds4WSommaire du match
23 - 2025-09-19180Moose3Bears4LSommaire du match
25 - 2025-09-21187Moose4BruinsF5LSommaire du match
27 - 2025-09-23203Marlies4Moose3LSommaire du match
29 - 2025-09-25224Moose2Islanders5LSommaire du match
30 - 2025-09-26233Moose6Comets3WSommaire du match
32 - 2025-09-28243Gulls4Moose2LSommaire du match
35 - 2025-10-01264BruinsF2Moose4WSommaire du match
39 - 2025-10-05292Condors2Moose4WSommaire du match
41 - 2025-10-07306Moose3Marlies1WSommaire du match
43 - 2025-10-09321Americans3Moose5WSommaire du match
45 - 2025-10-11335Moose6Islanders5WXXSommaire du match
47 - 2025-10-13350Moose7Phantoms2WSommaire du match
49 - 2025-10-15363Silver Knights7Moose3LSommaire du match
51 - 2025-10-17380Moose4Phantoms1WSommaire du match
53 - 2025-10-19391Moose4Wranglers3WSommaire du match
54 - 2025-10-20398Eagles4Moose5WXSommaire du match
57 - 2025-10-23425Checkers3Moose2LXSommaire du match
59 - 2025-10-25442Moose3Condors2WXSommaire du match
61 - 2025-10-27454Moose4Comets5LSommaire du match
62 - 2025-10-28461Marlies-Moose-
65 - 2025-10-31480Moose-Admirals-
66 - 2025-11-01492Checkers-Moose-
68 - 2025-11-03509Moose-Icehogs-
70 - 2025-11-05525Crunch-Moose-
73 - 2025-11-08544Moose-Barracuda-
75 - 2025-11-10558Thunderbirds-Moose-
77 - 2025-11-12576Moose-Wolves-
79 - 2025-11-14588Griffins-Moose-
81 - 2025-11-16605Moose-Marlies-
83 - 2025-11-18621Iowa Wild-Moose-
85 - 2025-11-20636Moose-Bears-
87 - 2025-11-22653Comets-Moose-
89 - 2025-11-24665Moose-Checkers-
91 - 2025-11-26679Moose-BruinsF-
92 - 2025-11-27686Monsters-Moose-
94 - 2025-11-29702Moose-Canucks-
97 - 2025-12-02718Wolves-Moose-
99 - 2025-12-04731Moose-Firebirds-
101 - 2025-12-06750Comets-Moose-
103 - 2025-12-08762Moose-Roadrunners-
106 - 2025-12-11781Moose-Rocket-
107 - 2025-12-12787Wolf Pack-Moose-
110 - 2025-12-15810Moose-Rocket-
111 - 2025-12-16817Wolves-Moose-
114 - 2025-12-19843Firebirds-Moose-
116 - 2025-12-21857Moose-Reign-
118 - 2025-12-23871Moose-Americans-
119 - 2025-12-24880SenatorsF-Moose-
122 - 2025-12-27907SenatorsF-Moose-
124 - 2025-12-29917Moose-Crunch-
128 - 2026-01-02944Moose-Wolf Pack-
129 - 2026-01-03950Gulls-Moose-
131 - 2026-01-05973Moose-Wolf Pack-
133 - 2026-01-07982StarsF-Moose-
136 - 2026-01-101007Bears-Moose-
138 - 2026-01-121021Moose-Americans-
140 - 2026-01-141039Bears-Moose-
142 - 2026-01-161050Moose-Eagles-
145 - 2026-01-191071Islanders-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-221091Moose-Wolves-
149 - 2026-01-231103Phantoms-Moose-
154 - 2026-01-281134Phantoms-Moose-
156 - 2026-01-301148Moose-PenguinsF-
158 - 2026-02-011166PenguinsF-Moose-
160 - 2026-02-031179Moose-PenguinsF-
163 - 2026-02-061198Islanders-Moose-
167 - 2026-02-101226Wolf Pack-Moose-
170 - 2026-02-131243Moose-SenatorsF-
172 - 2026-02-151258Rocket-Moose-
174 - 2026-02-171270Moose-Checkers-
175 - 2026-02-181283Moose-SenatorsF-
178 - 2026-02-211300PenguinsF-Moose-
182 - 2026-02-251328Rocket-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance28,00014,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
28 3000 - 100.00% 178,800$2,503,200$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,129,439$ 3,225,000$ 3,225,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,096,286$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,006,400$ 123 18,071$ 2,222,733$




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