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Connexion

Moose
GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 17 | GA: 22 | PP%: 18.18% | PK%: 85.00%
DG: Eric Pilon | Morale : 51 | Moyenne d’équipe : 64
Prochains matchs #125 vs Checkers

Centre de jeu
Moose
3-3-0, 6pts
1
FINAL
5 Bears
5-2-0, 10pts
Team Stats
L2SéquenceW1
3-1-0Fiche domicile2-1-0
0-2-0Fiche domicile3-1-0
3-3-0Derniers 10 matchs5-2-0
2.83Buts par match 3.71
3.67Buts contre par match 3.00
18.18%Pourcentage en avantage numérique16.13%
85.00%Pourcentage en désavantage numérique78.26%
Islanders
2-3-2, 6pts
6
FINAL
5 Moose
3-3-0, 6pts
Team Stats
W1SéquenceL2
0-1-2Fiche domicile3-1-0
2-2-0Fiche domicile0-2-0
2-3-2Derniers 10 matchs3-3-0
3.71Buts par match 2.83
4.00Buts contre par match 3.67
5.56%Pourcentage en avantage numérique18.18%
95.00%Pourcentage en désavantage numérique85.00%
Moose
3-3-0, 6pts
2025-08-28
Checkers
3-4-0, 6pts
Statistiques d’équipe
L2SéquenceW1
3-1-0Fiche domicile2-1-0
0-2-0Fiche visiteur1-3-0
3-3-010 derniers matchs3-4-0
2.83Buts par match 2.86
3.67Buts contre par match 2.86
18.18%Pourcentage en avantage numérique14.29%
85.00%Pourcentage en désavantage numérique78.57%
PenguinsF
6-0-1, 13pts
2025-08-30
Moose
3-3-0, 6pts
Statistiques d’équipe
W2SéquenceL2
3-0-1Fiche domicile3-1-0
3-0-0Fiche visiteur0-2-0
6-0-110 derniers matchs3-3-0
4.29Buts par match 2.83
2.86Buts contre par match 2.83
43.75%Pourcentage en avantage numérique18.18%
90.00%Pourcentage en désavantage numérique85.00%
Moose
3-3-0, 6pts
2025-09-01
SenatorsF
3-0-3, 9pts
Statistiques d’équipe
L2SéquenceOTW1
3-1-0Fiche domicile1-0-2
0-2-0Fiche visiteur2-0-1
3-3-010 derniers matchs3-0-3
2.83Buts par match 3.50
3.67Buts contre par match 3.50
18.18%Pourcentage en avantage numérique26.67%
85.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Nathan Walker
5
Passes
Nils Lundkvist
5
Points
Nathan Walker
5
Plus/Moins
Jordan Spence
3
Victoires
Dylan Wells
3
Pourcentage d’arrêts
Felix Sandstrom
0.964

Statistiques d’équipe
Buts pour
17
2.83 GFG
Tirs pour
177
29.50 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
37.4%
Buts contre
22
3.67 GAA
Tirs contre
197
32.83 Avg
Pourcentage en désavantage numérique
85.0%%
3 GA
Début de la zone défensive
44.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,632
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 56
Espoirs43


Historique d'équipe

Saison actuelle3-3-0 (6PTS)
Historique83-72-21 (0.472%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)9 - 8 (0.529%)
Coupe Stanley0


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
1Nathan WalkerXX97.0074548875687779727171727170645349526703111,700,000$
2Sonny Milano (A)XX100.0062459974727384716671676865725846526602911,500,000$
3Pavel KraskovskyX100.0079686972707778707374706867665653496602911,500,000$
4Frederik GauthierX100.0061459671797383727770667164654842526503021,300,000$
5Nils AmanX100.0066459276697179597370687967614766526502521,300,000$
6Rasmus KupariXXX100.006645918572687570726561705766486652650252900,000$
7Maxim MaminXXX100.0070459371747174737068737371574942526503021,300,000$
8Anthony RichardXX100.0076466972677576707269726763655753526502811,300,000$
9Sven AndrighettoXX100.0058429869707377695769686866645334526403231,200,000$
10Julius NattinenX100.007045837270747268777163725961525352640281900,000$
11Nick SorensenXX100.0061468772726070666265656461765849526303021,000,000$
12Lias AnderssonXX100.006045877269707167676868626063475652630261750,000$
13Jordan Spence (R)X100.006845917568769076457467736765457052670243900,000$
14Nils LundkvistX100.006645887471778675457271746364486452670251900,000$
15Andrei Mironov (A)X100.0070458071727680754572657654746148526703122,500,000$
16Jarred TinordiX100.0078698672787675724569657363644830526603311,500,000$
17Sami Vatanen (C)X100.0060459871697070684567646963786842426503421,500,000$
18Brandon GormleyX100.0057459470727274694566677063685142526403321,200,000$
Rayé
1Stefan MatteauX100.0084586768756372647464677361725545446303111,000,000$
2Michal Teply (R)XX100.006645907270707069606962685645457044620243750,000$
3Valentin Nussbaumer (R)X100.006445907266707068706865675945457044620243750,000$
4Jeremy BraccoXX100.006045907268637264666662646162535644620281800,000$
5Vladimir TkachyovXX100.006045837266646864586865606362535044610291700,000$
6Brendan GuhleX100.0065448672707275664567667454615256446402821,100,000$
7Ruben Rafkin (R)X100.006845757269707069456660715445457044620233750,000$
8Chad KrysX100.006851857068696860456263715755515644620272800,000$
MOYENNE D’ÉQUIPE99.88674887727171756960696670626352534964
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 Wells98.00848681797980817981848154565744660271750,000$
2Felix Sandstrom100.00858572797872777272717956685454620283900,000$
Rayé
1Keith Petruzzelli (R)100.00767575797574757675767745457047610263750,000$
MOYENNE D’ÉQUIPE99.3382827679777578767677795256604863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet84857560999940CAN603100,000$


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
1Nathan WalkerMoose (Win)LW/RW6505-30024157933.33%212921.50202680000171081.82%1100000.7800000100
2Nils LundkvistMoose (Win)D60553407710190%612621.1301149000013000%000000.7900000000
3Frederik GauthierMoose (Win)C61341001917475.88%010217.1300000000000055.96%10900000.7800000001
4Jarred TinordiMoose (Win)D6134-1409592211.11%812520.9600001000017100%000000.6400000110
5Anthony RichardMoose (Win)LW/RW63141401061531420.00%110617.7200001000020050.00%1000000.7500000001
6Lias AnderssonMoose (Win)LW/RW6033-2003110170%07312.23000390000000100.00%100000.8200000000
7Nils AmanMoose (Win)C6123-3008514277.14%19415.74000390000170054.01%13700000.6400000001
8Jordan SpenceMoose (Win)D60333801294180%613622.8300039000016000%000000.4400000000
9Andrei MironovMoose (Win)D6123-22074103210.00%713021.6801158000116000%000000.4600000000
10Sonny MilanoMoose (Win)LW/RW6033-1001815460%010818.0000018000000033.33%1200000.5600000000
11Pavel KraskovskyMoose (Win)C6123-5115187132117.69%110818.0201137000000048.18%13700000.5500010010
12Rasmus KupariMoose (Win)C/LW/RW6112040081011010.00%310217.0400000000000050.00%1000000.3900000100
13Sven AndrighettoMoose (Win)LW/RW61121000171414.29%1427.1000000000001060.00%500000.9400000000
14Sami VatanenMoose (Win)D6112-6405372014.29%49816.420002600005010%000000.4100000000
15Maxim MaminMoose (Win)C/LW/RW6022-34034112110%18414.11000280001150040.00%500000.4700000000
16Brandon GormleyMoose (Win)D6011-600453120%510217.140001000003000%000000.1900000000
17Julius NattinenMoose (Win)C61011004632233.33%0579.51000000001180051.43%7000000.3500000000
18Nick SorensenMoose (Win)LW/RW6000120234260%0406.740000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne108173350-214759695177411179.60%46177016.39235338800031473152.36%50800000.5600010323
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)63300.8584.3827400201410000060000
2Felix SandstromMoose (Win)20000.9641.3688002560000006000
Statistiques d’équipe totales ou en moyenne83300.8883.643630022197000066000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrei MironovMoose (Win)D311994-07-29RUSNo194 Lbs6 ft3NoNoN/ANoNo22024-04-29FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Anthony RichardMoose (Win)LW/RW281996-12-20CANNo176 Lbs5 ft10NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Brandon GormleyMoose (Win)D331992-02-18CANNo196 Lbs6 ft2NoNoFree AgentNoNo22024-07-24FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Brendan GuhleMoose (Win)D281997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Chad KrysMoose (Win)D271998-04-10USANo185 Lbs6 ft0NoNoN/ANoNo22025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Dylan WellsMoose (Win)G271998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Felix SandstromMoose (Win)G281997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo32025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Frederik GauthierMoose (Win)C301995-04-26CANNo238 Lbs6 ft5NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Jarred TinordiMoose (Win)D331992-02-20USANo230 Lbs6 ft6NoNoFree AgentNoNo12025-07-03FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Jeremy BraccoMoose (Win)LW/RW281997-03-17USANo185 Lbs5 ft11NoNoN/ANoNo12024-04-29FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Jordan SpenceMoose (Win)D242001-02-24CANYes180 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Julius NattinenMoose (Win)C281997-01-14FINNo192 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Keith PetruzzelliMoose (Win)G261999-02-09USAYes185 Lbs6 ft5NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Lias AnderssonMoose (Win)LW/RW261998-10-13SWENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Maxim MaminMoose (Win)C/LW/RW301995-01-13RUSNo209 Lbs6 ft2NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Michal TeplyMoose (Win)LW/RW242001-05-27CZEYes187 Lbs6 ft3NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nathan WalkerMoose (Win)LW/RW311994-02-07AUSNo187 Lbs5 ft9NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Nick SorensenMoose (Win)LW/RW301994-10-23DNKNo182 Lbs6 ft1NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nils AmanMoose (Win)C252000-02-07SWENo179 Lbs6 ft2NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Nils LundkvistMoose (Win)D252000-07-27SWENo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pavel KraskovskyMoose (Win)C291996-09-11RUSNo185 Lbs6 ft4NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Rasmus KupariMoose (Win)C/LW/RW252000-03-15FINNo201 Lbs6 ft2NoNoProspectNoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ruben RafkinMoose (Win)D232002-01-08FINYes190 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Sami VatanenMoose (Win)D341991-06-03FINNo185 Lbs5 ft10NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Sonny MilanoMoose (Win)LW/RW291996-05-12USANo194 Lbs6 ft0NoNoFree Agent2025-06-05NoNo12025-07-11FalseFalsePro & Farm1,500,000$0$0$No---------3,000,000$-----------------Lien
Stefan MatteauMoose (Win)C311994-02-23USANo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Sven AndrighettoMoose (Win)LW/RW321993-03-21CHENo187 Lbs5 ft10NoNoFree Agent2024-06-25NoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Valentin NussbaumerMoose (Win)C242000-09-25SUIYes165 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Vladimir TkachyovMoose (Win)LW/RW291995-10-05RUSNo141 Lbs5 ft9NoNoN/ANoNo12024-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2928.21191 Lbs6 ft11.831,110,345$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerPavel KraskovskyRasmus Kupari35005
2Anthony RichardFrederik GauthierSonny Milano35014
3Sven AndrighettoNils AmanLias Andersson20122
4Maxim MaminJulius NattinenNick Sorensen10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceNils Lundkvist35041
2Andrei MironovJarred Tinordi35041
3Sami VatanenBrandon Gormley30041
4Jordan SpenceNils Lundkvist0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerPavel KraskovskyMaxim Mamin50005
2Sonny MilanoNils AmanLias Andersson50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceNils Lundkvist50014
2Andrei MironovSami Vatanen50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanMaxim Mamin50050
2Julius NattinenNathan Walker50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrei MironovNils Lundkvist50050
2Jarred TinordiJordan Spence50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Andrei MironovNils Lundkvist50050
2Julius Nattinen50050Jarred TinordiJordan Spence50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel KraskovskySonny Milano50023
2Frederik GauthierAnthony Richard50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceBrandon Gormley50041
2Andrei MironovSami Vatanen50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerPavel KraskovskyRasmus KupariJordan SpenceNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerNils AmanMaxim MaminAndrei MironovJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Richard, Frederik Gauthier, Nils AmanAnthony Richard, Frederik GauthierAnthony Richard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarred Tinordi, Sami Vatanen, Brandon GormleyJarred TinordiJarred Tinordi, Sami Vatanen
Tirs de pénalité
Nathan Walker, Pavel Kraskovsky, Rasmus Kupari, Maxim Mamin, Anthony Richard
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
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
1Bears1010000015-4000000000001010000015-400.0001230031031265062623386417400.00%20100.00%010918957.67%11622551.56%419145.05%13791144458139
2Checkers22000000642220000006420000000000041.000612180031031445062623581214232150.00%7185.71%010918957.67%11622551.56%419145.05%13791144458139
3Islanders1010000056-11010000056-10000000000000.0005101500310314350626233681021100.00%40100.00%010918957.67%11622551.56%419145.05%13791144458139
4Monsters10001000321100010003210000000000021.0003690031031325062623266616100.00%3166.67%010918957.67%11622551.56%419145.05%13791144458139
5Rocket1010000025-3000000000001010000025-300.0002350031031325062623391413193133.33%4175.00%010918957.67%11622551.56%419145.05%13791144458139
Total623010001722-5421010001412220200000310-760.5001733500031031177506262319746479611218.18%20385.00%010918957.67%11622551.56%419145.05%13791144458139
_Since Last GM Reset623010001722-5421010001412220200000310-760.5001733500031031177506262319746479611218.18%20385.00%010918957.67%11622551.56%419145.05%13791144458139
_Vs Conference523000001420-6321000001110120200000310-740.4001427410031031145506262317140418010220.00%17288.24%010918957.67%11622551.56%419145.05%13791144458139

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
66L217335017719746479600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62310001722
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42110001412
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000310
Derniers 10 matchs
WLOTWOTL SOWSOL
231000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%20385.00%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
506262331031
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
10918957.67%11622551.56%419145.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13791144458139


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-08-1416Checkers2Moose3WSommaire du match
6 - 2025-08-1737Monsters2Moose3WXSommaire du match
9 - 2025-08-2060Moose2Rocket5LSommaire du match
10 - 2025-08-2169Checkers2Moose3WSommaire du match
13 - 2025-08-2494Moose1Bears5LSommaire du match
15 - 2025-08-26102Islanders6Moose5LSommaire du match
17 - 2025-08-28125Moose-Checkers-
19 - 2025-08-30132PenguinsF-Moose-
21 - 2025-09-01151Moose-SenatorsF-
23 - 2025-09-03162Bears-Moose-
26 - 2025-09-06187Moose-Admirals-
28 - 2025-09-08195Crunch-Moose-
29 - 2025-09-09208Moose-Firebirds-
32 - 2025-09-12229Firebirds-Moose-
33 - 2025-09-13241Moose-Wolves-
36 - 2025-09-16259Wolves-Moose-
38 - 2025-09-18276Moose-Crunch-
40 - 2025-09-20291Crunch-Moose-
42 - 2025-09-22308Moose-PenguinsF-
44 - 2025-09-24324Moose-SenatorsF-
45 - 2025-09-25333Wranglers-Moose-
48 - 2025-09-28357Griffins-Moose-
49 - 2025-09-29367Moose-Wranglers-
52 - 2025-10-02387Moose-Admirals-
53 - 2025-10-03398Checkers-Moose-
57 - 2025-10-07421Moose-Iowa Wild-
59 - 2025-10-09433Roadrunners-Moose-
61 - 2025-10-11450Moose-Crunch-
63 - 2025-10-13463Barracuda-Moose-
65 - 2025-10-15483Moose-Rocket-
67 - 2025-10-17492SenatorsF-Moose-
69 - 2025-10-19514Moose-Silver Knights-
70 - 2025-10-20524Firebirds-Moose-
73 - 2025-10-23546Moose-StarsF-
74 - 2025-10-24556SenatorsF-Moose-
77 - 2025-10-27575Moose-BruinsF-
79 - 2025-10-29589Wolves-Moose-
81 - 2025-10-31604Moose-Barracuda-
83 - 2025-11-02618Bears-Moose-
85 - 2025-11-04632Moose-Wolves-
87 - 2025-11-06645Moose-Condors-
88 - 2025-11-07658Phantoms-Moose-
91 - 2025-11-10683PenguinsF-Moose-
94 - 2025-11-13701Moose-Checkers-
96 - 2025-11-15713Americans-Moose-
98 - 2025-11-17732Moose-Gulls-
100 - 2025-11-19741Moose-Phantoms-
101 - 2025-11-20756Moose-Icehogs-
103 - 2025-11-22764Rocket-Moose-
106 - 2025-11-25789Phantoms-Moose-
108 - 2025-11-27810Marlies-Moose-
109 - 2025-11-28814Moose-Bears-
112 - 2025-12-01836Moose-Phantoms-
114 - 2025-12-03847Moose-PenguinsF-
116 - 2025-12-05859Monsters-Moose-
118 - 2025-12-07877Moose-Wolf Pack-
120 - 2025-12-09891Eagles-Moose-
122 - 2025-12-11909Moose-Wolf Pack-
123 - 2025-12-12921Rocket-Moose-
126 - 2025-12-15934Moose-Firebirds-
128 - 2025-12-17951Thunderbirds-Moose-
131 - 2025-12-20975Islanders-Moose-
133 - 2025-12-22984Moose-Comets-
136 - 2025-12-251008Marlies-Moose-
137 - 2025-12-261018Moose-Comets-
140 - 2025-12-291039BruinsF-Moose-
143 - 2026-01-011053Moose-Reign-
146 - 2026-01-041071Canucks-Moose-
151 - 2026-01-091102BruinsF-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-01-111117Moose-BruinsF-
155 - 2026-01-131132Americans-Moose-
158 - 2026-01-161152Moose-Marlies-
160 - 2026-01-181164Comets-Moose-
161 - 2026-01-191177Moose-Marlies-
164 - 2026-01-221197Comets-Moose-
166 - 2026-01-241211Moose-Americans-
169 - 2026-01-271229Wolf Pack-Moose-
171 - 2026-01-291247Moose-Islanders-
174 - 2026-02-011259Wolf Pack-Moose-
177 - 2026-02-041278Moose-Americans-
180 - 2026-02-071291Iowa Wild-Moose-
182 - 2026-02-091297Moose-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance7,6582,869
Assistance PCT95.73%71.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2632 - 87.73% 121,215$484,861$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
269,190$ 3,220,000$ 3,220,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 261,075$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,484,964$ 170 17,946$ 3,050,820$




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
1Andrei Mironov15431871181312222614423513.19%195343322.301715321320001510%00.6900
2Mason Shaw15536731094911832564038.93%29285918.45620266104492151.87%00.7637
3Pavel Kraskovsky1504061101-212730621733511.94%17244516.30916257510113150.61%00.8312
4Ryan Lomberg137533588185118115431416.88%19220216.08771426202102455.14%30.80314
5Brendan Guhle15717718815941568816210.49%171303819.3541721530001010%00.5800

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
1Dylan Wells103483680.8933.09555710528626700120.64328
2Spencer Martin83343160.8863.3242484323520600310.76146
3Felix Sandstrom111510.8704.0550400342610000.6005

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
Saison régulière
1582253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
168238330333228426618412114023101451153041171901022139151-12932845228063411171969248481179585837239770966813542675219.48%2876477.70%11425278651.15%1464278352.61%697136651.02%1943133019336191081534
17623010001722-5421010001412220200000310-761733500031031177506262319746479611218.18%20385.00%010918957.67%11622551.56%419145.05%13791144458139
Total Saison régulière17065720104811562569-7863832064242862592784274004067276310-341815621015157738206162176315204171216791741154499414421394279254211220.66%57712977.64%73004580551.75%2996580951.58%1488285852.06%407827923992128022551123
Séries éliminatoires
1617980000062584108200000412813716000002130-9186211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121
Total Séries éliminatoires17980000062584108200000412813716000002130-9186211617810192616161518220019142535155164316611219.67%651281.54%133964952.23%35963856.27%13129244.86%455315429139244121

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
1Nils Lundkvist176121881215203517.14%2242625.11145160110020%00.8400
2Justin Danforth17971691221106015.00%235220.711341100001156.90%00.9100
3Ryan Lomberg176713-3624124912.24%429017.104261901131059.09%00.8900
4Andrei Mironov1539127221715319.68%1736724.53112140000000%00.6500
5Jarred Tinordi172101242557161315.38%3339523.2700031011000%00.6100

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
1Dylan Wells169420.8973.03990205048500000
2Spencer Martin30110.8573.041380074900100