Essayer le nouveau site
Veuillez faire pivoter votre appareil en mode paysage pour une meilleure expérience.
Connexion

Marlies
GP: 27 | W: 16 | L: 8 | OTL: 3 | P: 35
GF: 84 | GA: 75 | PP%: 25.32% | PK%: 80.00%
DG: Alain Ricard | Morale : 55 | Moyenne d’équipe : 63
Prochains matchs #461 vs Moose

Centre de jeu
Admirals
9-17-3, 21pts
0
3 Marlies
16-8-3, 35pts
Team Stats
L2SéquenceL1
4-9-0Fiche domicile9-3-3
5-8-3Fiche domicile7-5-0
3-7-0Derniers 10 matchs3-6-1
2.28Buts par match 3.11
3.38Buts contre par match 2.78
18.42%Pourcentage en avantage numérique25.32%
72.73%Pourcentage en désavantage numérique80.00%
Marlies
16-8-3, 35pts
1
3 Bears
12-14-2, 26pts
Team Stats
L1SéquenceW1
9-3-3Fiche domicile8-6-0
7-5-0Fiche domicile4-8-2
3-6-1Derniers 10 matchs4-5-1
3.11Buts par match 2.71
2.78Buts contre par match 3.21
25.32%Pourcentage en avantage numérique16.46%
80.00%Pourcentage en désavantage numérique81.54%
Marlies
16-8-3, 35pts
2025-10-28
Moose
19-10-1, 39pts
Statistiques d’équipe
L1SéquenceL1
9-3-3Fiche domicile8-5-1
7-5-0Fiche visiteur11-5-0
3-6-110 derniers matchs7-2-1
3.11Buts par match 3.67
2.78Buts contre par match 3.67
25.32%Pourcentage en avantage numérique13.95%
80.00%Pourcentage en désavantage numérique72.83%
Crunch
12-13-1, 25pts
2025-10-30
Marlies
16-8-3, 35pts
Statistiques d’équipe
L2SéquenceL1
8-6-0Fiche domicile9-3-3
4-7-1Fiche visiteur7-5-0
4-5-110 derniers matchs3-6-1
3.69Buts par match 3.11
3.50Buts contre par match 3.11
27.03%Pourcentage en avantage numérique25.32%
82.54%Pourcentage en désavantage numérique80.00%
Marlies
16-8-3, 35pts
2025-11-01
Rocket
15-14-1, 31pts
Statistiques d’équipe
L1SéquenceL1
9-3-3Fiche domicile6-8-0
7-5-0Fiche visiteur9-6-1
3-6-110 derniers matchs5-5-0
3.11Buts par match 3.30
2.78Buts contre par match 3.30
25.32%Pourcentage en avantage numérique21.52%
80.00%Pourcentage en désavantage numérique77.55%
Meneurs d'équipe
Buts
David Farrance
9
Passes
David Farrance
15
Points
David Farrance
24
Plus/Moins
David Farrance
10
Victoires
Damian Clara
12
Pourcentage d’arrêts
Sami Aittokallio
0.951

Statistiques d’équipe
Buts pour
84
3.11 GFG
Tirs pour
797
29.52 Avg
Pourcentage en avantage numérique
25.3%
20 GF
Début de zone offensive
41.7%
Buts contre
75
2.78 GAA
Tirs contre
748
27.70 Avg
Pourcentage en désavantage numérique
80.0%%
17 GA
Début de la zone défensive
38.4%
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 Pro29
Équipe Mineure21
Limite Contrat50 / 56
Espoirs26


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
1Lukas Reichel0XX100.006445928167748973627174727169486661670242900,000$
2Connor Zary0X100.006445887468808672687272707259486662660251900,000$
3Laurent Dauphin0XX100.0074468873707476716767687368624838626503121,800,000$
4Pavel Tyutnev0XXX100.0064458975707676737467647059615370626502421,000,000$
5Pontus Aberg0XX100.0055449872727683715970697065745434626503311,500,000$
6Evan Barratt0X100.007048847268746965756964656050465423630271750,000$
7Kyle Topping0X100.007650777369737267736866656051476259630261750,000$
8JC Lipon0XX100.007263897071737070596769696746453462630332950,000$
9Brendan Brisson (R)0X100.006851737270707069726770667345467062630253750,000$
10Vinni Lettieri18XX100.005743997170717470606868696666513862630312850,000$
11Noel Gunler (R)0XX100.006750767270707068596768696545487062620253750,000$
12Zion Nybeck (R)0XX100.006146877268707066586666686345467028610243750,000$
13Emil Lilleberg0X100.0079458573728077734574657660514862626702522,000,000$
14William Lagesson0X100.0064468568717772754574747360665446626603011,700,000$
15David Farrance0X100.006445877369797574457362755851486262650271750,000$
16Nick DeSimone (R)0X100.006545907270727874457167726155453062650311900,000$
17Andrey Pedan3X100.0080668869807172714567687166504534596503331,600,000$
Rayé
1Marcus Kallionkeli0XX100.007148747372686763586161645848466623600251750,000$
2Maxime Fortier0XX100.005757897567646363686059666148476023590281700,000$
3Carter Savoie (R)0XX100.006348816869505061576265636745507023580243750,000$
4Reid Valade (R)0XX100.006252616656555551525159535945457023520243750,000$
5Joel Hanley0X99.0467458774698477714571657763715126526703512,000,000$
6Zachary Jones (R)0X100.006648867172696971457169706648517023640263750,000$
7William Villeneuve (R)0X72.257150717171707069456967726445457025630243750,000$
8Danila Galenyuk0X100.006449797372696967456665696045456623620261750,000$
9David Kvasnicka0X100.006645907267706769456761695446465823620271750,000$
MOYENNE D’ÉQUIPE98.88674984727072726957686669635348564763
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)0100.00778879847578777676757648528043630213750,000$
2Sami Aittokallio0100.007781807777727876767582515646686203421,000,000$
Rayé
1Maksim Zhukov0100.00787766807875757777767348496436610273700,000$
MOYENNE D’ÉQUIPE100.0077827580777577767675774952634962
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
1David FarranceMarlies (Tor)D279152410160172431142329.03%3157221.195491565000269010%000000.8400000010
2William LagessonMarlies (Tor)D2751520-5180241644103511.36%2754620.244482059000029000%000000.7300000010
3Jan JenikMapleLeafsLW/RW24109197295712387217011.49%448320.1314512510001511048.57%3500010.7912010211
4Lukas ReichelMarlies (Tor)LW/RW2761117-74022297629737.89%551319.0014516670000180260.61%3300000.6602000003
5Pavel TyutnevMarlies (Tor)C/LW/RW276915-740243153164711.32%1156020.762468670002681050.00%14000000.5400000102
6Kyle ToppingMarlies (Tor)C247714380322925113228.00%436515.23000030000581047.60%41600000.7700000020
7JC LiponMarlies (Tor)LW/RW27591468018175110369.80%434312.7100005000010151.85%2700000.8200000002
8Connor ZaryMarlies (Tor)C27681410405396720548.96%347817.721341358000061149.23%58700000.5911000101
9Pontus AbergMarlies (Tor)LW/RW27771422042156134512.50%635113.0300007000002166.67%2100000.8000000310
10Joel HanleyMarlies (Tor)D14211131405141641012.50%1328220.2104462700002100%000000.9200000101
11Peyton KrebsMapleLeafsC244913-94051375017538.00%246219.2823510620000183054.91%57000000.5602000011
12Laurent DauphinMarlies (Tor)LW/RW27571288021247221556.94%652719.5412310560003582069.77%4300000.4500000210
13Emil LillebergMarlies (Tor)D272911-11804722399165.13%3559722.141342059000065100%000000.3700000012
14William VilleneuveMarlies (Tor)D132794201058111225.00%522817.6120233400001000%000000.7900000110
15Noel GunlerMarlies (Tor)LW/RW272353401173110246.45%21947.1900000000001038.89%1800000.5100000001
16Nick DeSimoneMarlies (Tor)D27044012034222010120%3050518.7200006000059000%000000.1600000000
17Vinni LettieriMarlies (Tor)LW/RW27314020372241313.64%11836.81000000000100054.55%1100000.4400000000
18Andrey PedanMarlies (Tor)D270331295311123780%3051319.0300022000263000%000000.1200010000
19Brendan BrissonMarlies (Tor)C27123-1601810205145.00%12017.4600000000000048.60%21400000.3000000000
20Evan BarrattMarlies (Tor)C60221008432100%26410.7300014000030045.98%8700000.6200000001
21Zion NybeckMarlies (Tor)LW/RW3000000113000%0186.0200000000000025.00%40000000000000
Statistiques d’équipe totales ou en moyenne48682148230261821045739379724464210.29%222799516.452035551366390001058714650.91%220600010.5827020111015
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)2512830.8873.06133222686040001.0007252201
2Sami AittokallioMarlies (Tor)74000.9511.3930301714401000225100
Statistiques d’équipe totales ou en moyenne3216830.9002.751635237574801072727301


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)C252001-10-22USAYes192 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)C252001-09-25CANNo178 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
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/RW252001-10-07SWEYes185 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
Pontus AbergMarlies (Tor)LW/RW331993-09-23SWENo194 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 Villeneuve (sur la masse salariale)Marlies (Tor)D242002-03-20CANYes196 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$Yes750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Zachary JonesMarlies (Tor)D262000-10-18USAYes201 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
2927.41192 Lbs6 ft01.931,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelConnor ZaryPavel Tyutnev34023
2Pontus AbergBrendan BrissonLaurent Dauphin33023
3JC LiponKyle ToppingNoel Gunler25032
4Zion NybeckEvan BarrattVinni Lettieri8041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanEmil Lilleberg35050
2William LagessonNick DeSimone33041
3David Farrance32050
4Andrey PedanEmil Lilleberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelConnor ZaryPavel Tyutnev60005
2Pontus AbergEvan BarrattLaurent Dauphin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonEmil Lilleberg50023
2David Farrance50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel TyutnevLaurent Dauphin50050
2Kyle ToppingVinni Lettieri50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David FarranceNick DeSimone50050
2Emil LillebergAndrey Pedan50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Brisson50050David FarranceNick DeSimone50050
2Connor Zary50050Emil LillebergAndrey Pedan50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brendan BrissonLukas Reichel50122
2Connor ZaryPontus Aberg50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil Lilleberg50122
2William LagessonDavid Farrance50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelConnor ZaryPavel TyutnevAndrey PedanEmil Lilleberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelBrendan BrissonPavel TyutnevAndrey PedanEmil 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, David FarranceDavid Farrance, Andrey Pedan
Tirs de pénalité
Lukas Reichel, Connor Zary, Brendan Brisson, JC Lipon, Laurent Dauphin
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
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
1Admirals11000000303110000003030000000000021.000369013629172282742852202533114194125.00%20100.00%047690752.48%41983550.18%22843352.66%671468616196348174
2Americans21100000651110000005141010000014-320.50061117003629172522742852202549211638300.00%8187.50%047690752.48%41983550.18%22843352.66%671468616196348174
3Barracuda11000000422000000000001100000042221.000481200362917226274285220252399274250.00%20100.00%047690752.48%41983550.18%22843352.66%671468616196348174
4Bears2010010047-31000010034-11010000013-210.2504610003629172462742852202563212031400.00%10190.00%047690752.48%41983550.18%22843352.66%671468616196348174
5Checkers10000010431000000000001000001043121.0004590036291723827428522025269617100.00%30100.00%047690752.48%41983550.18%22843352.66%671468616196348174
6Comets3300000011562200000010551100000010161.0001121320136291727927428522025761726546466.67%13376.92%047690752.48%41983550.18%22843352.66%671468616196348174
7Condors11000000202000000000001100000020221.0002350136291722927428522025176211400.00%10100.00%047690752.48%41983550.18%22843352.66%671468616196348174
8Crunch11000000541110000005410000000000021.000591400362917231274285220253188222150.00%4250.00%047690752.48%41983550.18%22843352.66%671468616196348174
9Eagles11000000312110000003120000000000021.00036900362917230274285220252384123133.33%20100.00%047690752.48%41983550.18%22843352.66%671468616196348174
10Islanders311000101082211000006511000001043140.667101727003629172106274285220257821123410330.00%6266.67%047690752.48%41983550.18%22843352.66%671468616196348174
11Monsters1010000056-1000000000001010000056-100.00057120036291724027428522025244219500.00%10100.00%047690752.48%41983550.18%22843352.66%671468616196348174
12Moose2110000056-11010000013-21100000043120.50059140036291724427428522025541210344250.00%5260.00%047690752.48%41983550.18%22843352.66%671468616196348174
13PenguinsF21100000550110000005321010000002-220.50058130036291726027428522025622120339111.11%9277.78%047690752.48%41983550.18%22843352.66%671468616196348174
14Rocket210001007701000010034-11100000043130.75071219003629172622742852202558128428225.00%4175.00%047690752.48%41983550.18%22843352.66%671468616196348174
15SenatorsF2110000056-12110000056-10000000000020.500510150036291725527428522025591516266116.67%7185.71%047690752.48%41983550.18%22843352.66%671468616196348174
16Wolf Pack1000010034-11000010034-10000000000010.5003690036291724027428522025441410232150.00%50100.00%047690752.48%41983550.18%22843352.66%671468616196348174
17Wranglers1010000026-4000000000001010000026-400.0002460036291723127428522025281311154125.00%3233.33%047690752.48%41983550.18%22843352.66%671468616196348174
Total2714800320847591593003005240121255000203235-3350.6488414823203362917279727428522025748222184457792025.32%851780.00%047690752.48%41983550.18%22843352.66%671468616196348174
_Since Last GM Reset2714800320847591593003005240121255000203235-3350.6488414823203362917279727428522025748222184457792025.32%851780.00%047690752.48%41983550.18%22843352.66%671468616196348174
_Vs Conference21106003206560513730030046397833000201921-2270.6436511417901362917261327428522025600171152354551527.27%741579.73%047690752.48%41983550.18%22843352.66%671468616196348174
_Vs Division123200100383537210010027216511000001114-370.292386510301362917237127428522025347989019436925.00%44881.82%047690752.48%41983550.18%22843352.66%671468616196348174

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2735L18414823279774822218445703
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2714803208475
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
159303005240
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
125500203235
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
792025.32%851780.00%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
274285220253629172
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
47690752.48%41983550.18%22843352.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
671468616196348174


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 - 2025-08-2919Islanders3Marlies2LSommaire du match
3 - 2025-08-3021Wolf Pack4Marlies3LXSommaire du match
5 - 2025-09-0139Marlies1Comets0WSommaire du match
6 - 2025-09-0251SenatorsF3Marlies4WSommaire du match
10 - 2025-09-0681Marlies4Islanders3WXXSommaire du match
12 - 2025-09-0896Comets1Marlies5WSommaire du match
14 - 2025-09-10113Marlies4Checkers3WXXSommaire du match
16 - 2025-09-12124Crunch4Marlies5WSommaire du match
19 - 2025-09-15149Americans1Marlies5WSommaire du match
23 - 2025-09-19177Rocket4Marlies3LXSommaire du match
25 - 2025-09-21193Marlies4Rocket3WSommaire du match
27 - 2025-09-23203Marlies4Moose3WSommaire du match
28 - 2025-09-24216Eagles1Marlies3WSommaire du match
31 - 2025-09-27239Islanders2Marlies4WSommaire du match
33 - 2025-09-29255Marlies0PenguinsF2LSommaire du match
36 - 2025-10-02273PenguinsF3Marlies5WSommaire du match
38 - 2025-10-04287Marlies4Barracuda2WSommaire du match
41 - 2025-10-07306Moose3Marlies1LSommaire du match
43 - 2025-10-09318Marlies2Condors0WSommaire du match
45 - 2025-10-11334Marlies2Wranglers6LSommaire du match
47 - 2025-10-13346Bears4Marlies3LXSommaire du match
49 - 2025-10-15362Marlies1Americans4LSommaire du match
51 - 2025-10-17376SenatorsF3Marlies1LSommaire du match
54 - 2025-10-20402Marlies5Monsters6LSommaire du match
55 - 2025-10-21408Comets4Marlies5WSommaire du match
58 - 2025-10-24433Admirals0Marlies3WSommaire du match
60 - 2025-10-26444Marlies1Bears3LSommaire du match
62 - 2025-10-28461Marlies-Moose-
64 - 2025-10-30473Crunch-Marlies-
66 - 2025-11-01488Marlies-Rocket-
68 - 2025-11-03503Canucks-Marlies-
70 - 2025-11-05524Marlies-Islanders-
72 - 2025-11-07534Marlies-PenguinsF-
73 - 2025-11-08542Islanders-Marlies-
76 - 2025-11-11567BruinsF-Marlies-
77 - 2025-11-12579Marlies-Gulls-
80 - 2025-11-15599Marlies-Checkers-
81 - 2025-11-16605Moose-Marlies-
84 - 2025-11-19627Marlies-Reign-
85 - 2025-11-20639Wranglers-Marlies-
89 - 2025-11-24664Wolves-Marlies-
92 - 2025-11-27685Marlies-Wolf Pack-
94 - 2025-11-29699StarsF-Marlies-
96 - 2025-12-01715Marlies-Wolf Pack-
98 - 2025-12-03727Marlies-SenatorsF-
99 - 2025-12-04734Reign-Marlies-
102 - 2025-12-07758Bears-Marlies-
104 - 2025-12-09771Marlies-Comets-
107 - 2025-12-12792Wolves-Marlies-
109 - 2025-12-14809Marlies-Griffins-
111 - 2025-12-16818Marlies-Crunch-
112 - 2025-12-17829Americans-Marlies-
115 - 2025-12-20851Marlies-Silver Knights-
116 - 2025-12-21861BruinsF-Marlies-
119 - 2025-12-24882Marlies-Crunch-
121 - 2025-12-26892Marlies-Icehogs-
122 - 2025-12-27900Condors-Marlies-
125 - 2025-12-30925Phantoms-Marlies-
127 - 2026-01-01937Marlies-Comets-
129 - 2026-01-03953Marlies-SenatorsF-
130 - 2026-01-04964Rocket-Marlies-
133 - 2026-01-07983Marlies-Firebirds-
134 - 2026-01-08994Wranglers-Marlies-
135 - 2026-01-091001Marlies-BruinsF-
137 - 2026-01-111016Marlies-Phantoms-
139 - 2026-01-131027Marlies-Iowa Wild-
140 - 2026-01-141038PenguinsF-Marlies-
142 - 2026-01-161052Marlies-Roadrunners-
145 - 2026-01-191068Marlies-Bears-
146 - 2026-01-201075Phantoms-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-231100Firebirds-Marlies-
151 - 2026-01-251114Marlies-Americans-
154 - 2026-01-281133Firebirds-Marlies-
156 - 2026-01-301149Marlies-Phantoms-
158 - 2026-02-011168Eagles-Marlies-
161 - 2026-02-041189Marlies-Wolves-
163 - 2026-02-061197Thunderbirds-Marlies-
167 - 2026-02-101224Checkers-Marlies-
171 - 2026-02-141249Checkers-Marlies-
174 - 2026-02-171275Marlies-Firebirds-
175 - 2026-02-181282Marlies-BruinsF-
177 - 2026-02-201296Thunderbirds-Marlies-
180 - 2026-02-231318Marlies-Wolves-
182 - 2026-02-251334Wolf Pack-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance30,00015,000
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
27 3000 - 100.00% 156,450$2,346,750$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,013,090$ 2,825,000$ 2,825,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 979,965$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,224,150$ 123 15,897$ 1,955,331$




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