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Moose
GP: 21 | W: 13 | L: 8 | OTL: 0 | P: 26
GF: 72 | GA: 55 | PP%: 13.56% | PK%: 77.97%
DG: Eric Pilon | Morale : 56 | Moyenne d’équipe : 64
Prochains matchs #335 vs Islanders

Centre de jeu
Moose
13-8-0, 26pts
3
1 Marlies
14-3-2, 30pts
Team Stats
W4SéquenceW1
7-4-0Fiche domicile7-2-2
6-4-0Fiche domicile7-1-0
5-5-0Derniers 10 matchs7-2-1
3.43Buts par match 3.32
2.62Buts contre par match 2.37
13.56%Pourcentage en avantage numérique30.91%
77.97%Pourcentage en désavantage numérique84.21%
Americans
9-9-2, 20pts
3
5 Moose
13-8-0, 26pts
Team Stats
L3SéquenceW4
8-1-0Fiche domicile7-4-0
1-8-2Fiche domicile6-4-0
4-5-1Derniers 10 matchs5-5-0
2.60Buts par match 3.43
3.00Buts contre par match 2.62
25.40%Pourcentage en avantage numérique13.56%
80.77%Pourcentage en désavantage numérique77.97%
Moose
13-8-0, 26pts
2025-10-09
Islanders
11-8-2, 24pts
Statistiques d’équipe
W4SéquenceL3
7-4-0Fiche domicile7-2-1
6-4-0Fiche visiteur4-6-1
5-5-010 derniers matchs4-6-0
3.43Buts par match 3.29
2.62Buts contre par match 3.29
13.56%Pourcentage en avantage numérique15.00%
77.97%Pourcentage en désavantage numérique82.54%
Moose
13-8-0, 26pts
2025-10-11
Phantoms
11-8-1, 23pts
Statistiques d’équipe
W4SéquenceOTW1
7-4-0Fiche domicile9-2-0
6-4-0Fiche visiteur2-6-1
5-5-010 derniers matchs7-3-0
3.43Buts par match 3.40
2.62Buts contre par match 3.40
13.56%Pourcentage en avantage numérique24.00%
77.97%Pourcentage en désavantage numérique77.55%
Silver Knights
10-7-3, 23pts
2025-10-13
Moose
13-8-0, 26pts
Statistiques d’équipe
W1SéquenceW4
6-3-1Fiche domicile7-4-0
4-4-2Fiche visiteur6-4-0
6-3-110 derniers matchs5-5-0
3.45Buts par match 3.43
3.40Buts contre par match 3.43
27.27%Pourcentage en avantage numérique13.56%
73.61%Pourcentage en désavantage numérique77.97%
Meneurs d'équipe
Buts
Pavel Kraskovsky
9
Passes
Daniel Sprong
11
Points
Daniel Sprong
16
Plus/Moins
Daniel Sprong
11
Victoires
Dylan Wells
11
Pourcentage d’arrêts
Dylan Wells
0.911

Statistiques d’équipe
Buts pour
72
3.43 GFG
Tirs pour
618
29.43 Avg
Pourcentage en avantage numérique
13.6%
8 GF
Début de zone offensive
39.0%
Buts contre
55
2.62 GAA
Tirs contre
587
27.95 Avg
Pourcentage en désavantage numérique
78.0%%
13 GA
Début de la zone défensive
40.1%
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 Sprong0XX100.0060459774727283716269706868756646616702911,200,000$
2Warren Foegele0XXX100.0066458672708088717072736767805550606703022,500,000$
3Pavel Kraskovsky0X100.0081696772707980707576706669695850626703011,200,000$
4Nils Aman0X100.0068459376697380607572688166644862626602611,300,000$
5Mason Shaw0XXX100.0073678372677489717972717168635354566602711,000,000$
6Michael Amadio0X100.0053459772717992668473677172815150606603011,700,000$
7Maxim Mamin0XXX100.0069459171746976757270747570605038626603111,300,000$
8Frederik Gauthier0X100.0059459771797585727970667063685038576503111,300,000$
9Sergey Tolchinsky0XX100.006746927166737471596971706968593863650311900,000$
10Rasmus Kupari0XXX100.006545918572707770746561705969496262650261900,000$
11Julius Nattinen0X100.0072458472707274687971627359645250426402931,000,000$
12Nikita Grebenkin (R)0X100.007050827472728370507268716250457045630231900,000$
13Sami Vatanen (C)0X100.0060459971697272684568646962816938626603511,500,000$
14Simon Despres0X100.0064459469777076704566657363655326626503531,200,000$
15Brendan Guhle0X100.0067448772707373664568657354625254626502911,100,000$
16Albert Johansson (R)0X100.006645917269749071456966756060456062650253900,000$
17Brandon Gormley0X100.0056459570727276694566677062715238626403411,200,000$
18Maxim Groshev (R)0X100.006948837171696967456766706345467062630243750,000$
Rayé
1Anthony Richard0XX92.0477467072677778707468726762685850476602931,300,000$
2Nick Sorensen0XX100.0060468872726068676466666660775846296303111,000,000$
3Sven Andrighetto0XX100.0056429968697479695767706964675430576303321,200,000$
4Lias Andersson0XX100.005945887269697266686767606066475429620272700,000$
5Michal Teply0XX100.006545897270726869607160685647456629620252750,000$
6Valentin Nussbaumer0X100.006445907266707068706865675945457029620262750,000$
7Judd Caulfield (R)0XX100.007048867072707067596667696448497029620253750,000$
8Jeremy Bracco0XX100.006145927268657063666460656062535429610293700,000$
9Chad Krys0X100.007050867068716659456063705755515429620281800,000$
10Ruben Rafkin0X100.006645737269706867456458695445456629610242750,000$
MOYENNE D’ÉQUIPE99.71654788727072776862686770636352525064
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 Wells099.008487837979808280818483565754576602811,000,000$
2Felix Sandstrom0100.00858371797872777373727757695067630292900,000$
Rayé
1Amir Miftakhov (R)0100.00767169757676767676767659596040620263750,000$
2Keith Petruzzelli0100.00767575797574757675767745457040610272750,000$
MOYENNE D’ÉQUIPE99.7580797578777678767677785458595163
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
1Daniel SprongMoose (Win)LW/RW215111611402165216439.62%339018.5801110520001170042.31%2600000.8200000010
2Pavel KraskovskyMoose (Win)C2197167220563752153317.31%036917.58123750000012051.08%46200100.8700000322
3Sergey TolchinskyMoose (Win)LW/RW21761347581942143816.67%332415.43202951000011036.36%2200000.8000001040
4Warren FoegeleMoose (Win)C/LW/RW21581374061546162510.87%233315.90011619000011055.56%4500000.7800000101
5Albert JohanssonMoose (Win)D2158131010018223092316.67%2246422.122241350000143200%000000.5600000012
6Mason ShawMoose (Win)C/LW/RW213912919529165017486.00%233515.980331052000021065.31%9800000.7200010000
7Maxim MaminMoose (Win)C/LW/RW217512600162240184017.50%332415.47000120001471050.00%2200100.7400000101
8Simon DespresMoose (Win)D212911460147143914.29%3037918.0700035000045010%000000.5800000100
9Michael AmadioMoose (Win)C2029119002333211256.25%231215.62000000000480059.75%40500000.7000000001
10Maxim GroshevMoose (Win)D213811714034102451412.50%2241019.55213174800002000%000000.5400000101
11Brandon GormleyMoose (Win)D2128109609141851211.11%3241219.6200026000147000%000000.4900000000
12Nils AmanMoose (Win)C215510280114040152412.50%432715.62000000002452049.20%37600000.6100000101
13Rasmus KupariMoose (Win)C/LW/RW21461002013165011338.00%127012.881121550000000171.05%3800000.7400000110
14Brendan GuhleMoose (Win)D21281031202217276157.41%3041719.900111250000043010%000000.4800000012
15Sami VatanenMoose (Win)D21279116015122411158.33%1243020.480001347000012100%000000.4200000100
16Anthony RichardMoose (Win)LW/RW13257200187258188.00%019915.37022930000001025.00%2000000.7000000011
17Sven AndrighettoMoose (Win)LW/RW1914522054143127.14%01528.0500002000000025.00%400000.6500000000
18Frederik GauthierMoose (Win)C162243404102021610.00%11579.86000020001300054.74%13700000.5100000100
19Julius NattinenMoose (Win)C831434018103530.00%0759.4500000000001052.13%9400001.0600000100
20Nikita GrebenkinMoose (Win)RW8123075101083812.50%010613.3100000000000057.14%700000.5600100000
Statistiques d’équipe totales ou en moyenne378721282001091371529333561819145611.65%169619516.3981422127524000738913353.70%175600200.6500111121112
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)1711500.9112.50960224045100000174200
2Felix SandstromMoose (Win)62300.8962.83297001413500100417000
Statistiques d’équipe totales ou en moyenne2313800.9082.581257225458600102121200


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 Richard (sur la masse salariale)Moose (Win)LW/RW291996-12-20CANNo176 Lbs5 ft10NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,300,000$0$0$Yes1,300,000$1,300,000$-------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)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
3228.50192 Lbs6 ft11.751,060,938$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergey TolchinskyPavel KraskovskyWarren Foegele30023
2Mason ShawJulius NattinenDaniel Sprong25023
3Maxim MaminNils AmanRasmus Kupari25023
4Nikita GrebenkinMichael AmadioFrederik 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
1Daniel SprongPavel KraskovskyWarren Foegele50005
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 AmadioDaniel Sprong50050
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
2Nils AmanRasmus 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 AmanMason ShawAlbert JohanssonSimon Despres
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Sprong, Nikita Grebenkin, 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
Michael Amadio, Daniel Sprong, 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
1Americans22000000954220000009540000000000041.00091625002325240502301961920561717233133.33%6266.67%034368550.07%40370457.24%19736753.68%488334493156278140
2Bears1010000034-1000000000001010000034-100.000358002325240292301961920264914100.00%220.00%034368550.07%40370457.24%19736753.68%488334493156278140
3BruinsF4220000013121211000006512110000077040.50013233600232524012323019619201133927691200.00%9188.89%034368550.07%40370457.24%19736753.68%488334493156278140
4Comets220000001349110000007161100000063341.000132437002325240652301961920611724279444.44%11281.82%034368550.07%40370457.24%19736753.68%488334493156278140
5Condors11000000422110000004220000000000021.0004812002325240432301961920317018300.00%000%034368550.07%40370457.24%19736753.68%488334493156278140
6Crunch2110000034-1110000003211010000002-220.5003580023252404823019619206216628600.00%3166.67%034368550.07%40370457.24%19736753.68%488334493156278140
7Firebirds2110000078-11010000024-21100000054120.500713201023252406023019619204810821600.00%4175.00%034368550.07%40370457.24%19736753.68%488334493156278140
8Gulls1010000024-21010000024-20000000000000.000235002325240132301961920378121611100.00%6183.33%034368550.07%40370457.24%19736753.68%488334493156278140
9Islanders1010000025-3000000000001010000025-300.000246002325240352301961920303616400.00%30100.00%034368550.07%40370457.24%19736753.68%488334493156278140
10Marlies211000006511010000034-11100000031220.5006101600232524054230196192044208275240.00%4250.00%034368550.07%40370457.24%19736753.68%488334493156278140
11PenguinsF22000000826000000000002200000082641.0008132101232524072230196192049201827700.00%9188.89%034368550.07%40370457.24%19736753.68%488334493156278140
12Wolf Pack11000000202110000002020000000000021.00024601232524026230196192030847200.00%20100.00%034368550.07%40370457.24%19736753.68%488334493156278140
Total211380000072551711740000038271110640000034286260.61972128200122325240618230196192058716913929359813.56%591377.97%034368550.07%40370457.24%19736753.68%488334493156278140
_Since Last GM Reset211380000072551711740000038271110640000034286260.61972128200122325240618230196192058716913929359813.56%591377.97%034368550.07%40370457.24%19736753.68%488334493156278140
_Vs Conference19127000006649179630000032211110640000034286240.63266117183122325240562230196192051915412725955712.73%531277.36%034368550.07%40370457.24%19736753.68%488334493156278140

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2126W47212820061858716913929312
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2113800007255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400003827
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
106400003428
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
59813.56%591377.97%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
23019619202325240
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
34368550.07%40370457.24%19736753.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
488334493156278140


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 - 2025-08-265Moose1PenguinsF0WSommaire du match
2 - 2025-08-2717BruinsF3Moose2LSommaire du match
4 - 2025-08-2933Americans2Moose4WSommaire du match
6 - 2025-08-3145Moose0Crunch2LSommaire du match
7 - 2025-09-0162Moose3BruinsF2WSommaire du match
9 - 2025-09-0377Comets1Moose7WSommaire du match
12 - 2025-09-06100Crunch2Moose3WSommaire du match
14 - 2025-09-08115Moose7PenguinsF2WSommaire du match
17 - 2025-09-11131Wolf Pack0Moose2WSommaire du match
19 - 2025-09-13154Firebirds4Moose2LSommaire du match
21 - 2025-09-15161Moose5Firebirds4WSommaire du match
23 - 2025-09-17180Moose3Bears4LSommaire du match
25 - 2025-09-19187Moose4BruinsF5LSommaire du match
27 - 2025-09-21203Marlies4Moose3LSommaire du match
29 - 2025-09-23224Moose2Islanders5LSommaire du match
30 - 2025-09-24233Moose6Comets3WSommaire du match
32 - 2025-09-26243Gulls4Moose2LSommaire du match
35 - 2025-09-29264BruinsF2Moose4WSommaire du match
39 - 2025-10-03292Condors2Moose4WSommaire du match
41 - 2025-10-05306Moose3Marlies1WSommaire du match
43 - 2025-10-07321Americans3Moose5WSommaire du match
45 - 2025-10-09335Moose-Islanders-
47 - 2025-10-11350Moose-Phantoms-
49 - 2025-10-13363Silver Knights-Moose-
51 - 2025-10-15380Moose-Phantoms-
53 - 2025-10-17391Moose-Wranglers-
54 - 2025-10-18398Eagles-Moose-
57 - 2025-10-21425Checkers-Moose-
59 - 2025-10-23442Moose-Condors-
61 - 2025-10-25454Moose-Comets-
62 - 2025-10-26461Marlies-Moose-
65 - 2025-10-29480Moose-Admirals-
66 - 2025-10-30492Checkers-Moose-
68 - 2025-11-01509Moose-Icehogs-
70 - 2025-11-03525Crunch-Moose-
73 - 2025-11-06544Moose-Barracuda-
75 - 2025-11-08558Thunderbirds-Moose-
77 - 2025-11-10576Moose-Wolves-
79 - 2025-11-12588Griffins-Moose-
81 - 2025-11-14605Moose-Marlies-
83 - 2025-11-16621Iowa Wild-Moose-
85 - 2025-11-18636Moose-Bears-
87 - 2025-11-20653Comets-Moose-
89 - 2025-11-22665Moose-Checkers-
91 - 2025-11-24679Moose-BruinsF-
92 - 2025-11-25686Monsters-Moose-
94 - 2025-11-27702Moose-Canucks-
97 - 2025-11-30718Wolves-Moose-
99 - 2025-12-02731Moose-Firebirds-
101 - 2025-12-04750Comets-Moose-
103 - 2025-12-06762Moose-Roadrunners-
106 - 2025-12-09781Moose-Rocket-
107 - 2025-12-10787Wolf Pack-Moose-
110 - 2025-12-13810Moose-Rocket-
111 - 2025-12-14817Wolves-Moose-
114 - 2025-12-17843Firebirds-Moose-
116 - 2025-12-19857Moose-Reign-
118 - 2025-12-21871Moose-Americans-
119 - 2025-12-22880SenatorsF-Moose-
122 - 2025-12-25907SenatorsF-Moose-
124 - 2025-12-27917Moose-Crunch-
128 - 2025-12-31944Moose-Wolf Pack-
129 - 2026-01-01950Gulls-Moose-
131 - 2026-01-03973Moose-Wolf Pack-
133 - 2026-01-05982StarsF-Moose-
136 - 2026-01-081007Bears-Moose-
138 - 2026-01-101021Moose-Americans-
140 - 2026-01-121039Bears-Moose-
142 - 2026-01-141050Moose-Eagles-
145 - 2026-01-171071Islanders-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-201091Moose-Wolves-
149 - 2026-01-211103Phantoms-Moose-
154 - 2026-01-261134Phantoms-Moose-
156 - 2026-01-281148Moose-PenguinsF-
158 - 2026-01-301166PenguinsF-Moose-
160 - 2026-02-011179Moose-PenguinsF-
163 - 2026-02-041198Islanders-Moose-
167 - 2026-02-081226Wolf Pack-Moose-
170 - 2026-02-111243Moose-SenatorsF-
172 - 2026-02-131258Rocket-Moose-
174 - 2026-02-151270Moose-Checkers-
175 - 2026-02-161283Moose-SenatorsF-
178 - 2026-02-191300PenguinsF-Moose-
182 - 2026-02-231328Rocket-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance22,00011,000
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
31 3000 - 100.00% 178,800$1,966,800$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
800,145$ 3,265,000$ 3,265,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 776,772$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,542,800$ 141 18,288$ 2,578,608$




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