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Connexion

Marlies
GP: 8 | W: 6 | L: 1 | OTL: 1 | P: 13
GF: 28 | GA: 21 | PP%: 50.00% | PK%: 85.19%
DG: Alain Ricard | Morale : 55 | Moyenne d’équipe : 63
Prochains matchs #149 vs Americans

Centre de jeu
Marlies
6-1-1, 13pts
4
3 Checkers
6-2-1, 13pts
Team Stats
W1SéquenceW1
3-1-1Fiche domicile3-0-1
3-0-0Fiche domicile3-2-0
6-1-1Derniers 10 matchs6-2-1
3.50Buts par match 3.11
2.63Buts contre par match 2.44
50.00%Pourcentage en avantage numérique21.74%
85.19%Pourcentage en désavantage numérique95.83%
Crunch
4-4-0, 8pts
4
5 Marlies
6-1-1, 13pts
Team Stats
L1SéquenceW1
3-1-0Fiche domicile3-1-1
1-3-0Fiche domicile3-0-0
4-4-0Derniers 10 matchs6-1-1
4.00Buts par match 3.50
3.13Buts contre par match 2.63
40.00%Pourcentage en avantage numérique50.00%
75.00%Pourcentage en désavantage numérique85.19%
Americans
4-3-1, 9pts
2025-09-12
Marlies
6-1-1, 13pts
Statistiques d’équipe
W2SéquenceW1
4-0-0Fiche domicile3-1-1
0-3-1Fiche visiteur3-0-0
4-3-110 derniers matchs6-1-1
2.63Buts par match 3.50
2.50Buts contre par match 3.50
43.48%Pourcentage en avantage numérique50.00%
84.21%Pourcentage en désavantage numérique85.19%
Rocket
5-3-1, 11pts
2025-09-16
Marlies
6-1-1, 13pts
Statistiques d’équipe
W3SéquenceW1
3-1-0Fiche domicile3-1-1
2-2-1Fiche visiteur3-0-0
5-3-110 derniers matchs6-1-1
4.22Buts par match 3.50
3.11Buts contre par match 3.50
41.18%Pourcentage en avantage numérique50.00%
78.57%Pourcentage en désavantage numérique85.19%
Marlies
6-1-1, 13pts
2025-09-18
Rocket
5-3-1, 11pts
Statistiques d’équipe
W1SéquenceW3
3-1-1Fiche domicile3-1-0
3-0-0Fiche visiteur2-2-1
6-1-110 derniers matchs5-3-1
3.50Buts par match 4.22
2.63Buts contre par match 4.22
50.00%Pourcentage en avantage numérique41.18%
85.19%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Buts
Kyle Topping
3
Passes
William Lagesson
5
Points
William Lagesson
7
Plus/Moins
David Farrance
4
Victoires
Damian Clara
4
Pourcentage d’arrêts
Sami Aittokallio
0.951

Statistiques d’équipe
Buts pour
28
3.50 GFG
Tirs pour
252
31.50 Avg
Pourcentage en avantage numérique
50.0%
9 GF
Début de zone offensive
41.0%
Buts contre
21
2.63 GAA
Tirs contre
229
28.63 Avg
Pourcentage en désavantage numérique
85.2%%
4 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralAlain Ricard
EntraîneurBob Gainey
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 56
Espoirs24


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
1Peyton Krebs0X100.006950847869789374767567696174496257670251900,000$
2Lukas Reichel0XX100.006445928167748973627174727169486657670242900,000$
3Jan Jenik0XX98.008057707370797976617273766655516257660251750,000$
4Connor Zary0X100.006445887468808672687272707259486657660241900,000$
5Laurent Dauphin0XX100.0074468873707476716767687368624838576503121,800,000$
6Pavel Tyutnev0XXX100.0064458975707676737467647059615370576502421,000,000$
7Pontus Aberg0XX100.0055449872727683715970697065745434576503211,500,000$
8Kyle Topping0X100.007650777369737267736866656051476255630261750,000$
9JC Lipon0XX100.007263897071737070596769696746453457630332950,000$
10Brendan Brisson (R)0X100.006851737270707069726770667345467057630243750,000$
11Vinni Lettieri18XX100.005743997170717470606868696666513857630312850,000$
12Noel Gunler (R)0XX100.006750767270707068596768696545487057620243750,000$
13Joel Hanley0X100.0067458774698477714571657763715126576703512,000,000$
14Emil Lilleberg0X100.0079458573728077734574657660514862576702522,000,000$
15William Lagesson0X100.0064468568717772754574747360665446576603011,700,000$
16David Farrance0X100.006445877369797574457362755851486257650271750,000$
17Nick DeSimone (R)0X100.006545907270727874457167726155453057650311900,000$
18Andrey Pedan3X100.0080668869807172714567687166504534576503331,600,000$
Rayé
1Evan Barratt0X100.007048847268746965756964656050465437630271750,000$
2Zion Nybeck (R)0XX100.006146877268707066586666686345467042610243750,000$
3Marcus Kallionkeli0XX100.007148747372686763586161645848466642600251750,000$
4Maxime Fortier0XX100.005757897567646363686059666148476042590281700,000$
5Carter Savoie (R)0XX100.006348816869505061576265636745507042580243750,000$
6Reid Valade (R)0XX100.006252616656555551525159535945457042520243750,000$
7Zachary Jones (R)0X100.006648867172696971457169706648517042640253750,000$
8William Villeneuve (R)0X100.007150717171707069456967726445457042630243750,000$
9Danila Galenyuk0X100.006449797372696967456665696045456642620261750,000$
10David Kvasnicka0X100.006645907267706769456761695446465842620271750,000$
MOYENNE D’ÉQUIPE99.93674984727072736957686769635448575163
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
1Damian Clara (R)0100.00778879847578777676757648528058630213750,000$
2Sami Aittokallio0100.007781807777727876767582515646596203421,000,000$
Rayé
1Maksim Zhukov0100.00787766807875757777767348496446610273700,000$
MOYENNE D’ÉQUIPE100.0077827580777577767675774952635462
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Gainey7482878499994CAN722100,000$


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
1William LagessonMarlies (Tor)D8257-140381021420.00%1016320.38235512000011000%000000.8600000000
2David FarranceMarlies (Tor)D834741206495533.33%616720.91213213000019000%000000.8400000000
3Connor ZaryMarlies (Tor)C82571200112082110.00%214117.75123412000050156.73%17100000.9911000100
4Jan JenikMarlies (Tor)LW/RW8246080216296296.90%116220.280221120000180054.55%1100000.7412000010
5Joel HanleyMarlies (Tor)D8156-2205862416.67%1016220.2901121300002000%000000.7400000001
6Lukas ReichelMarlies (Tor)LW/RW8336-200652452212.50%215619.501124120000110155.56%900000.7702000002
7Laurent DauphinMarlies (Tor)LW/RW824614079246188.33%114918.651232120000141075.00%1200000.8000000000
8Pavel TyutnevMarlies (Tor)C/LW/RW8246-220631651412.50%116320.411344120000190048.94%4700000.7300000100
9JC LiponMarlies (Tor)LW/RW8235200631511013.33%210513.1400000000000062.50%800000.9500000000
10Pontus AbergMarlies (Tor)LW/RW8235200071662012.50%010413.0100000000001050.00%600000.9600000110
11Kyle ToppingMarlies (Tor)C531410055104630.00%17815.6100000000081051.72%8700001.0300000000
12Peyton KrebsMarlies (Tor)C8123-3201614263223.85%115819.821016120000131051.34%18700000.3802000000
13Emil LillebergMarlies (Tor)D8033-26013115270%917521.95022511000019000%000000.3400000001
14Evan BarrattMarlies (Tor)C3022100431160%13812.7400000000010048.21%5600001.0500000001
15Brendan BrissonMarlies (Tor)C810102064102710.00%0536.7400000000000048.08%5200000.3700000000
16Vinni LettieriMarlies (Tor)LW/RW8011000324140%0536.7400000000000066.67%300000.3700000000
17Nick DeSimoneMarlies (Tor)D80003401554330%615018.8300000000019000%00000000000000
18Andrey PedanMarlies (Tor)D8000-1401025310%715419.3600000000021000%00000000000000
19Noel GunlerMarlies (Tor)LW/RW8000020328370%0536.7400000000000040.00%50000000000000
Statistiques d’équipe totales ou en moyenne14426497525401351022526822010.32%60239216.61917263512800001874252.75%65400000.6327000325
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
1Damian ClaraMarlies (Tor)64110.8932.9037320181680001.000762000
2Sami AittokallioMarlies (Tor)22000.9511.50120013610000026100
Statistiques d’équipe totales ou en moyenne86110.9082.564932121229000788100


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
Andrey PedanMarlies (Tor)D331993-07-03LTUNo242 Lbs6 ft5NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm1,600,000$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien
Brendan BrissonMarlies (Tor)C242001-10-22USAYes192 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Carter SavoieMarlies (Tor)LW/RW242002-01-23CANYes192 Lbs5 ft10NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Connor ZaryMarlies (Tor)C242001-09-25CANNo178 Lbs6 ft0NoNoTrade2025-12-18NoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Damian ClaraMarlies (Tor)G212005-01-13ITAYes214 Lbs6 ft6NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Danila GalenyukMarlies (Tor)D262000-02-11RUSNo207 Lbs6 ft1NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
David FarranceMarlies (Tor)D271999-06-23USANo189 Lbs5 ft11NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
David KvasnickaMarlies (Tor)D271999-04-14CZENo181 Lbs5 ft10NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Emil LillebergMarlies (Tor)D252001-02-02NORNo202 Lbs6 ft2NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Evan BarrattMarlies (Tor)C271999-02-18USANo188 Lbs6 ft0NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
JC LiponMarlies (Tor)LW/RW331993-07-10CANNo189 Lbs6 ft0NoNoFree Agent2024-07-27NoNo22026-07-06FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jan JenikMarlies (Tor)LW/RW252000-09-15CZENo185 Lbs6 ft1NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Joel HanleyMarlies (Tor)D351991-06-08CANNo186 Lbs5 ft11NoNoTrade2026-02-14NoNo12025-07-03FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Kyle ToppingMarlies (Tor)C261999-11-18CANNo185 Lbs5 ft11NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Laurent DauphinMarlies (Tor)LW/RW311995-03-27CANNo181 Lbs6 ft1NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien
Lukas ReichelMarlies (Tor)LW/RW242002-05-17DEUNo170 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Maksim ZhukovMarlies (Tor)G271999-07-22RUSNo190 Lbs6 ft3NoNoN/ANoNo32026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Marcus KallionkeliMarlies (Tor)LW/RW252001-03-20FINNo201 Lbs6 ft2NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Maxime FortierMarlies (Tor)LW/RW281997-12-15CANNo183 Lbs5 ft10NoNoN/ANoNo12024-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Nick DeSimoneMarlies (Tor)D311994-11-21USAYes194 Lbs6 ft2NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Noel GunlerMarlies (Tor)LW/RW242001-10-07SWEYes185 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Pavel TyutnevMarlies (Tor)C/LW/RW242002-07-25RUSNo185 Lbs5 ft10NoNoTrade2025-05-26NoNo22026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Peyton KrebsMarlies (Tor)C252001-01-26CANNo186 Lbs6 ft0NoNoProspectNoNo12024-06-07FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pontus AbergMarlies (Tor)LW/RW321993-09-23SWENo194 Lbs6 ft0NoNoFree Agent2024-03-25NoNo12025-07-06FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Reid ValadeMarlies (Tor)LW/RW242002-03-14CANYes176 Lbs5 ft10NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Sami AittokallioMarlies (Tor)G341992-08-06FINNo189 Lbs6 ft2NoNoN/ANoNo22025-04-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Vinni LettieriMarlies (Tor)LW/RW311995-02-06USANo188 Lbs5 ft10NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
William LagessonMarlies (Tor)D301996-02-22SWENo207 Lbs6 ft2NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
William VilleneuveMarlies (Tor)D242002-03-20CANYes196 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Zachary JonesMarlies (Tor)D252000-10-18USAYes201 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Zion NybeckMarlies (Tor)LW/RW242002-05-12SWEYes183 Lbs5 ft8NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3127.10192 Lbs6 ft01.87988,710$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelPeyton KrebsPavel Tyutnev34023
2Jan JenikConnor ZaryLaurent Dauphin33023
3JC LiponKyle ToppingPontus Aberg25032
4Noel GunlerBrendan BrissonVinni Lettieri8041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyEmil Lilleberg35050
2William LagessonAndrey Pedan33041
3David FarranceNick DeSimone32050
4Joel HanleyEmil Lilleberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelPeyton KrebsPavel Tyutnev60005
2Jan JenikConnor ZaryLaurent Dauphin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonEmil Lilleberg50023
2Joel HanleyDavid Farrance50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel TyutnevLaurent Dauphin50050
2Kyle ToppingJan Jenik50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David FarranceNick DeSimone50050
2Emil LillebergAndrey Pedan50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Peyton Krebs50050David FarranceNick DeSimone50050
2Connor Zary50050Emil LillebergAndrey Pedan50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsLukas Reichel50122
2Connor ZaryJan Jenik50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyEmil Lilleberg50122
2William LagessonDavid Farrance50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelPeyton KrebsPavel TyutnevJoel HanleyEmil Lilleberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelPeyton KrebsPavel TyutnevJoel HanleyEmil Lilleberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Tyutnev, Laurent Dauphin, Pontus AbergPavel Tyutnev, Laurent DauphinPavel Tyutnev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Farrance, Emil Lilleberg, Joel HanleyDavid FarranceDavid Farrance, Andrey Pedan
Tirs de pénalité
Lukas Reichel, Peyton Krebs, Jan Jenik, Connor Zary, Pavel Tyutnev
Gardien
#1 : Damian Clara, #2 : Sami Aittokallio


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
1Checkers10000010431000000000001000001043121.00045900129523894945021269617100.00%30100.00%014825857.36%13724555.92%6012647.62%2011401895910350
2Comets22000000615110000005141100000010141.0006121801129525194945021421012394375.00%60100.00%014825857.36%13724555.92%6012647.62%2011401895910350
3Crunch11000000541110000005410000000000021.0005914001295231949450213188222150.00%4250.00%014825857.36%13724555.92%6012647.62%2011401895910350
4Islanders201000106601010000023-11000001043120.50069150012952639494502152138236350.00%4250.00%014825857.36%13724555.92%6012647.62%2011401895910350
5SenatorsF11000000431110000004310000000000021.00048120012952299494502134612113133.33%50100.00%014825857.36%13724555.92%6012647.62%2011401895910350
6Wolf Pack1000010034-11000010034-10000000000010.50036900129524094945021441410232150.00%50100.00%014825857.36%13724555.92%6012647.62%2011401895910350
Total8410012028217531001001915431000020963130.813284977011295225294945021229605613518950.00%27485.19%014825857.36%13724555.92%6012647.62%2011401895910350
_Since Last GM Reset8410012028217531001001915431000020963130.813284977011295225294945021229605613518950.00%27485.19%014825857.36%13724555.92%6012647.62%2011401895910350
_Vs Conference8410012028217531001001915431000020963130.813284977011295225294945021229605613518950.00%27485.19%014825857.36%13724555.92%6012647.62%2011401895910350
_Vs Division51000000151143100000010822000000053220.20015274201129521549494502113837308512758.33%15286.67%014825857.36%13724555.92%6012647.62%2011401895910350

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
813W1284977252229605613501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
84101202821
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53101001915
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
310002096
Derniers 10 matchs
WLOTWOTL SOWSOL
410120
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18950.00%27485.19%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
9494502112952
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
14825857.36%13724555.92%6012647.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2011401895910350


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
2 - 2025-08-2619Islanders3Marlies2LSommaire du match
3 - 2025-08-2721Wolf Pack4Marlies3LXSommaire du match
5 - 2025-08-2939Marlies1Comets0WSommaire du match
6 - 2025-08-3051SenatorsF3Marlies4WSommaire du match
10 - 2025-09-0381Marlies4Islanders3WXXSommaire du match
12 - 2025-09-0596Comets1Marlies5WSommaire du match
14 - 2025-09-07113Marlies4Checkers3WXXSommaire du match
16 - 2025-09-09124Crunch4Marlies5WSommaire du match
19 - 2025-09-12149Americans-Marlies-
23 - 2025-09-16177Rocket-Marlies-
25 - 2025-09-18193Marlies-Rocket-
27 - 2025-09-20203Marlies-Moose-
28 - 2025-09-21216Eagles-Marlies-
31 - 2025-09-24239Islanders-Marlies-
33 - 2025-09-26255Marlies-PenguinsF-
36 - 2025-09-29273PenguinsF-Marlies-
38 - 2025-10-01287Marlies-Barracuda-
41 - 2025-10-04306Moose-Marlies-
43 - 2025-10-06318Marlies-Condors-
45 - 2025-10-08334Marlies-Wranglers-
47 - 2025-10-10346Bears-Marlies-
49 - 2025-10-12362Marlies-Americans-
51 - 2025-10-14376SenatorsF-Marlies-
54 - 2025-10-17402Marlies-Monsters-
55 - 2025-10-18408Comets-Marlies-
58 - 2025-10-21433Admirals-Marlies-
60 - 2025-10-23444Marlies-Bears-
62 - 2025-10-25461Marlies-Moose-
64 - 2025-10-27473Crunch-Marlies-
66 - 2025-10-29488Marlies-Rocket-
68 - 2025-10-31503Canucks-Marlies-
70 - 2025-11-02524Marlies-Islanders-
72 - 2025-11-04534Marlies-PenguinsF-
73 - 2025-11-05542Islanders-Marlies-
76 - 2025-11-08567BruinsF-Marlies-
77 - 2025-11-09579Marlies-Gulls-
80 - 2025-11-12599Marlies-Checkers-
81 - 2025-11-13605Moose-Marlies-
84 - 2025-11-16627Marlies-Reign-
85 - 2025-11-17639Wranglers-Marlies-
89 - 2025-11-21664Wolves-Marlies-
92 - 2025-11-24685Marlies-Wolf Pack-
94 - 2025-11-26699StarsF-Marlies-
96 - 2025-11-28715Marlies-Wolf Pack-
98 - 2025-11-30727Marlies-SenatorsF-
99 - 2025-12-01734Reign-Marlies-
102 - 2025-12-04758Bears-Marlies-
104 - 2025-12-06771Marlies-Comets-
107 - 2025-12-09792Wolves-Marlies-
109 - 2025-12-11809Marlies-Griffins-
111 - 2025-12-13818Marlies-Crunch-
112 - 2025-12-14829Americans-Marlies-
115 - 2025-12-17851Marlies-Silver Knights-
116 - 2025-12-18861BruinsF-Marlies-
119 - 2025-12-21882Marlies-Crunch-
121 - 2025-12-23892Marlies-Icehogs-
122 - 2025-12-24900Condors-Marlies-
125 - 2025-12-27925Phantoms-Marlies-
127 - 2025-12-29937Marlies-Comets-
129 - 2025-12-31953Marlies-SenatorsF-
130 - 2026-01-01964Rocket-Marlies-
133 - 2026-01-04983Marlies-Firebirds-
134 - 2026-01-05994Wranglers-Marlies-
135 - 2026-01-061001Marlies-BruinsF-
137 - 2026-01-081016Marlies-Phantoms-
139 - 2026-01-101027Marlies-Iowa Wild-
140 - 2026-01-111038PenguinsF-Marlies-
142 - 2026-01-131052Marlies-Roadrunners-
145 - 2026-01-161068Marlies-Bears-
146 - 2026-01-171075Phantoms-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-201100Firebirds-Marlies-
151 - 2026-01-221114Marlies-Americans-
154 - 2026-01-251133Firebirds-Marlies-
156 - 2026-01-271149Marlies-Phantoms-
158 - 2026-01-291168Eagles-Marlies-
161 - 2026-02-011189Marlies-Wolves-
163 - 2026-02-031197Thunderbirds-Marlies-
167 - 2026-02-071224Checkers-Marlies-
171 - 2026-02-111249Checkers-Marlies-
174 - 2026-02-141275Marlies-Firebirds-
175 - 2026-02-151282Marlies-BruinsF-
177 - 2026-02-171296Thunderbirds-Marlies-
180 - 2026-02-201318Marlies-Wolves-
182 - 2026-02-221334Wolf Pack-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
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% 156,450$782,250$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
308,802$ 3,065,000$ 3,065,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 299,028$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,788,650$ 166 17,201$ 2,855,366$




Marlies 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

Marlies 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

Marlies 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

Marlies 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

Marlies 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