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Connexion

Moose
GP: 9 | W: 7 | L: 2 | OTL: 0 | P: 14
GF: 29 | GA: 14 | PP%: 15.38% | PK%: 85.71%
DG: Eric Pilon | Morale : 56 | Moyenne d’équipe : 64
Prochains matchs #154 vs Firebirds

Centre de jeu
Moose
7-2-0, 14pts
7
2 PenguinsF
4-4-1, 9pts
Team Stats
W5SéquenceL1
4-1-0Fiche domicile2-3-1
3-1-0Fiche domicile2-1-0
7-2-0Derniers 10 matchs4-4-1
3.22Buts par match 2.89
1.56Buts contre par match 3.33
15.38%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique84.62%
Wolf Pack
4-6-0, 8pts
0
2 Moose
7-2-0, 14pts
Team Stats
L1SéquenceW5
1-2-0Fiche domicile4-1-0
3-4-0Fiche domicile3-1-0
4-6-0Derniers 10 matchs7-2-0
2.30Buts par match 3.22
3.30Buts contre par match 1.56
8.11%Pourcentage en avantage numérique15.38%
59.09%Pourcentage en désavantage numérique85.71%
Firebirds
3-6-0, 6pts
2025-09-12
Moose
7-2-0, 14pts
Statistiques d’équipe
W1SéquenceW5
3-1-0Fiche domicile4-1-0
0-5-0Fiche visiteur3-1-0
3-6-010 derniers matchs7-2-0
2.78Buts par match 3.22
4.11Buts contre par match 3.22
13.04%Pourcentage en avantage numérique15.38%
72.73%Pourcentage en désavantage numérique85.71%
Moose
7-2-0, 14pts
2025-09-14
Firebirds
3-6-0, 6pts
Statistiques d’équipe
W5SéquenceW1
4-1-0Fiche domicile3-1-0
3-1-0Fiche visiteur0-5-0
7-2-010 derniers matchs3-6-0
3.22Buts par match 2.78
1.56Buts contre par match 2.78
15.38%Pourcentage en avantage numérique13.04%
85.71%Pourcentage en désavantage numérique72.73%
Moose
7-2-0, 14pts
2025-09-16
Bears
5-3-1, 11pts
Statistiques d’équipe
W5SéquenceL1
4-1-0Fiche domicile4-1-0
3-1-0Fiche visiteur1-2-1
7-2-010 derniers matchs5-3-1
3.22Buts par match 3.33
1.56Buts contre par match 3.33
15.38%Pourcentage en avantage numérique19.05%
85.71%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Buts
Sergey Tolchinsky
5
Passes
Maxim Groshev
6
Points
Sergey Tolchinsky
8
Plus/Moins
Maxim Groshev
9
Victoires
Dylan Wells
6
Pourcentage d’arrêts
Dylan Wells
0.948

Statistiques d’équipe
Buts pour
29
3.22 GFG
Tirs pour
278
30.89 Avg
Pourcentage en avantage numérique
15.4%
4 GF
Début de zone offensive
40.8%
Buts contre
14
1.56 GAA
Tirs contre
260
28.89 Avg
Pourcentage en désavantage numérique
85.7%%
4 GA
Début de la zone défensive
39.9%
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 contact 51 / 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 Sprong0XX100.0060459774727283716269706868756646596702911,200,000$
2Warren Foegele0XXX100.0066458672708088717072736767805550596703022,500,000$
3Pavel Kraskovsky0X100.0081696772707980707576706669695850596702911,200,000$
4Nils Aman0X100.0068459376697380607572688166644862596602611,300,000$
5Mason Shaw0XXX100.0073678372677489717972717168635354566602711,000,000$
6Michael Amadio0X100.0053459772717992668473677172815150596603011,700,000$
7Maxim Mamin0XXX100.0069459171746976757270747570605038596603111,300,000$
8Anthony Richard0XX100.0077467072677778707468726762685850596602931,300,000$
9Frederik Gauthier0X100.0059459771797585727970667063685038596503111,300,000$
10Sergey Tolchinsky0XX100.006746927166737471596971706968593859650311900,000$
11Rasmus Kupari0XXX100.006545918572707770746561705969496259650261900,000$
12Sven Andrighetto0XX100.0056429968697479695767706964675430596303321,200,000$
13Sami Vatanen (C)0X100.0060459971697272684568646962816938596603511,500,000$
14Simon Despres0X100.0064459469777076704566657363655326596503531,200,000$
15Brendan Guhle0X100.0067448772707373664568657354625254596502911,100,000$
16Albert Johansson (R)0X100.006645917269749071456966756060456059650253900,000$
17Brandon Gormley0X100.0056459570727276694566677062715238596403411,200,000$
18Maxim Groshev (R)0X100.006948837171696967456766706345467059630243750,000$
Rayé
1Julius Nattinen0X100.0072458472707274687971627359645250416402931,000,000$
2Nick Sorensen0XX100.0060468872726068676466666660775846416303111,000,000$
3Nikita Grebenkin (R)0X100.007050827472728370507268716250457041630231900,000$
4Lias Andersson0XX100.005945887269697266686767606066475441620272700,000$
5Michal Teply0XX100.006545897270726869607160685647456641620252750,000$
6Valentin Nussbaumer0X100.006445907266707068706865675945457041620252750,000$
7Judd Caulfield (R)0XX100.007048867072707067596667696448497041620253750,000$
8Jeremy Bracco0XX100.006145927268657063666460656062535441610293700,000$
9Chad Krys0X100.007050867068716659456063705755515441620281800,000$
10Ruben Rafkin0X100.006645737269706867456458695445456641610242750,000$
MOYENNE D’ÉQUIPE100.00654788727072776862686770636352525264
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 Wells0100.008487837979808280818483565754616602811,000,000$
2Felix Sandstrom0100.00858371797872777373727757695061630292900,000$
Rayé
1Amir Miftakhov (R)0100.00767169757676767676767659596046620263750,000$
2Keith Petruzzelli0100.00767575797574757675767745457046610272750,000$
MOYENNE D’ÉQUIPE100.0080797578777678767677785458595463
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
1Sergey TolchinskyMoose (Win)LW/RW9538520461641531.25%111112.43202524000001030.00%1000001.4300000030
2Maxim GroshevMoose (Win)D92689100131131715.38%1117419.3711282200001000%000000.9200000101
3Warren FoegeleMoose (Win)C/LW/RW9347600171881316.67%213414.9900000000001040.00%1000001.0400000101
4Anthony RichardMoose (Win)LW/RW92573001042071210.00%013414.89022621000001027.27%1100001.0400000011
5Brandon GormleyMoose (Win)D90669403711250%1417719.7700014000121000%000000.6700000000
6Pavel KraskovskyMoose (Win)C942668025192361617.39%015617.40112521000000053.06%19600100.7700000120
7Daniel SprongMoose (Win)LW/RW92356200102710177.41%115917.67000220000010066.67%600000.6300000000
8Nils AmanMoose (Win)C93253405151741017.65%314115.73000000002222048.03%15200000.7100000001
9Maxim MaminMoose (Win)C/LW/RW9325300591981515.79%114716.34000000001241030.00%1000000.6800000001
10Rasmus KupariMoose (Win)C/LW/RW922410079246118.33%112313.69011723000000058.33%1200000.6500000100
11Simon DespresMoose (Win)D91341208162316.67%1616218.0400011000022010%000000.4900000100
12Albert JohanssonMoose (Win)D904456071310780%1119822.10011520000123000%000000.4000000000
13Mason ShawMoose (Win)C/LW/RW9123360178198265.26%114916.63011523000001062.79%4300000.4000000000
14Brendan GuhleMoose (Win)D903318091011260%1618020.11011421000021000%000000.3300000001
15Sami VatanenMoose (Win)D91125405412468.33%418320.3500082000007000%000000.2200000000
16Frederik GauthierMoose (Win)C9011340359290%09410.50000010001240053.26%9200000.2100000000
17Michael AmadioMoose (Win)C9011300115165140%114816.47000000000240059.24%21100000.1300000000
18Sven AndrighettoMoose (Win)LW/RW9011300307050%0677.550000000000000%100000.2900000000
Statistiques d’équipe totales ou en moyenne162295180756001261432788619810.43%83264616.3348125722700061977153.32%75400100.6000000566
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)86200.9481.5047902122320000081200
2Felix SandstromMoose (Win)11000.9292.0060002280000018000
Statistiques d’équipe totales ou en moyenne97200.9461.565390214260000099200


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/RW271998-10-13SWENo185 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 AmadioMoose (Win)C301996-05-13CANNo204 Lbs6 ft1NoNoWaiver2024-08-18NoNo12025-05-28FalseFalsePro & Farm1,700,000$0$0$No---------------------------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/RW311994-10-23DNKNo182 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)C291996-09-11RUSNo185 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)C252000-09-25SUINo165 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
3228.44192 Lbs6 ft11.751,060,938$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel SprongPavel KraskovskyWarren Foegele30023
2Anthony RichardNils AmanSergey Tolchinsky30023
3Maxim MaminMichael AmadioMason Shaw25023
4Rasmus KupariFrederik GauthierSven Andrighetto15032
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
1Daniel SprongPavel KraskovskyAnthony Richard50005
2Rasmus KupariMason ShawSergey Tolchinsky50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxim Groshev50014
2Sami VatanenBrendan Guhle50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanMaxim Mamin50050
2Michael AmadioFrederik Gauthier50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonBrendan Guhle50050
2Simon DespresBrandon Gormley50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Albert JohanssonBrendan Guhle50050
2Maxim Mamin50050Simon DespresBrandon Gormley50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel KraskovskyDaniel Sprong50023
2Michael AmadioRasmus 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 MaminNils AmanFrederik GauthierAlbert JohanssonSimon Despres
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Sprong, Warren Foegele, Nils AmanDaniel Sprong, Pavel KraskovskyMaxim Mamin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Vatanen, Albert Johansson, Brendan GuhleAlbert JohanssonAlbert Johansson, Simon Despres
Tirs de pénalité
Sven Andrighetto, Daniel Sprong, Rasmus Kupari, Frederik Gauthier, Anthony Richard
Gardien
#1 : Felix Sandstrom, #2 : Dylan Wells, #3 : 0


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
1Americans11000000422110000004220000000000021.00047110010118031106868602878911100.00%4175.00%015330849.68%17930159.47%7014548.28%2141482096611657
2BruinsF211000005501010000023-11100000032120.500581300101180681068686056211238500.00%50100.00%015330849.68%17930159.47%7014548.28%2141482096611657
3Comets11000000716110000007160000000000021.00071421001011803310686860351112175360.00%5180.00%015330849.68%17930159.47%7014548.28%2141482096611657
4Crunch2110000034-1110000003211010000002-220.5003580010118048106868606216628600.00%3166.67%015330849.68%17930159.47%7014548.28%2141482096611657
5PenguinsF22000000826000000000002200000082641.0008132101101180721068686049201827700.00%9188.89%015330849.68%17930159.47%7014548.28%2141482096611657
6Wolf Pack11000000202110000002020000000000021.00024601101180261068686030847200.00%20100.00%015330849.68%17930159.47%7014548.28%2141482096611657
Total972000002914155410000018810431000001165140.7782951800210118027810686860260836012626415.38%28485.71%015330849.68%17930159.47%7014548.28%2141482096611657
_Since Last GM Reset972000002914155410000018810431000001165140.7782951800210118027810686860260836012626415.38%28485.71%015330849.68%17930159.47%7014548.28%2141482096611657
_Vs Conference972000002914155410000018810431000001165140.7782951800210118027810686860260836012626415.38%28485.71%015330849.68%17930159.47%7014548.28%2141482096611657

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
914W5295180278260836012602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
97200002914
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5410000188
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4310000116
Derniers 10 matchs
WLOTWOTL SOWSOL
720000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
26415.38%28485.71%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
10686860101180
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
15330849.68%17930159.47%7014548.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2141482096611657


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 - 2025-08-255Moose1PenguinsF0WSommaire du match
2 - 2025-08-2617BruinsF3Moose2LSommaire du match
4 - 2025-08-2833Americans2Moose4WSommaire du match
6 - 2025-08-3045Moose0Crunch2LSommaire du match
7 - 2025-08-3162Moose3BruinsF2WSommaire du match
9 - 2025-09-0277Comets1Moose7WSommaire du match
12 - 2025-09-05100Crunch2Moose3WSommaire du match
14 - 2025-09-07115Moose7PenguinsF2WSommaire du match
17 - 2025-09-10131Wolf Pack0Moose2WSommaire du match
19 - 2025-09-12154Firebirds-Moose-
21 - 2025-09-14161Moose-Firebirds-
23 - 2025-09-16180Moose-Bears-
25 - 2025-09-18187Moose-BruinsF-
27 - 2025-09-20203Marlies-Moose-
29 - 2025-09-22224Moose-Islanders-
30 - 2025-09-23233Moose-Comets-
32 - 2025-09-25243Gulls-Moose-
35 - 2025-09-28264BruinsF-Moose-
39 - 2025-10-02292Condors-Moose-
41 - 2025-10-04306Moose-Marlies-
43 - 2025-10-06321Americans-Moose-
45 - 2025-10-08335Moose-Islanders-
47 - 2025-10-10350Moose-Phantoms-
49 - 2025-10-12363Silver Knights-Moose-
51 - 2025-10-14380Moose-Phantoms-
53 - 2025-10-16391Moose-Wranglers-
54 - 2025-10-17398Eagles-Moose-
57 - 2025-10-20425Checkers-Moose-
59 - 2025-10-22442Moose-Condors-
61 - 2025-10-24454Moose-Comets-
62 - 2025-10-25461Marlies-Moose-
65 - 2025-10-28480Moose-Admirals-
66 - 2025-10-29492Checkers-Moose-
68 - 2025-10-31509Moose-Icehogs-
70 - 2025-11-02525Crunch-Moose-
73 - 2025-11-05544Moose-Barracuda-
75 - 2025-11-07558Thunderbirds-Moose-
77 - 2025-11-09576Moose-Wolves-
79 - 2025-11-11588Griffins-Moose-
81 - 2025-11-13605Moose-Marlies-
83 - 2025-11-15621Iowa Wild-Moose-
85 - 2025-11-17636Moose-Bears-
87 - 2025-11-19653Comets-Moose-
89 - 2025-11-21665Moose-Checkers-
91 - 2025-11-23679Moose-BruinsF-
92 - 2025-11-24686Monsters-Moose-
94 - 2025-11-26702Moose-Canucks-
97 - 2025-11-29718Wolves-Moose-
99 - 2025-12-01731Moose-Firebirds-
101 - 2025-12-03750Comets-Moose-
103 - 2025-12-05762Moose-Roadrunners-
106 - 2025-12-08781Moose-Rocket-
107 - 2025-12-09787Wolf Pack-Moose-
110 - 2025-12-12810Moose-Rocket-
111 - 2025-12-13817Wolves-Moose-
114 - 2025-12-16843Firebirds-Moose-
116 - 2025-12-18857Moose-Reign-
118 - 2025-12-20871Moose-Americans-
119 - 2025-12-21880SenatorsF-Moose-
122 - 2025-12-24907SenatorsF-Moose-
124 - 2025-12-26917Moose-Crunch-
128 - 2025-12-30944Moose-Wolf Pack-
129 - 2025-12-31950Gulls-Moose-
131 - 2026-01-02973Moose-Wolf Pack-
133 - 2026-01-04982StarsF-Moose-
136 - 2026-01-071007Bears-Moose-
138 - 2026-01-091021Moose-Americans-
140 - 2026-01-111039Bears-Moose-
142 - 2026-01-131050Moose-Eagles-
145 - 2026-01-161071Islanders-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191091Moose-Wolves-
149 - 2026-01-201103Phantoms-Moose-
154 - 2026-01-251134Phantoms-Moose-
156 - 2026-01-271148Moose-PenguinsF-
158 - 2026-01-291166PenguinsF-Moose-
160 - 2026-01-311179Moose-PenguinsF-
163 - 2026-02-031198Islanders-Moose-
167 - 2026-02-071226Wolf Pack-Moose-
170 - 2026-02-101243Moose-SenatorsF-
172 - 2026-02-121258Rocket-Moose-
174 - 2026-02-141270Moose-Checkers-
175 - 2026-02-151283Moose-SenatorsF-
178 - 2026-02-181300PenguinsF-Moose-
182 - 2026-02-221328Rocket-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 178,800$894,000$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
341,910$ 3,395,000$ 3,395,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 332,118$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,615,600$ 166 18,995$ 3,153,170$




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