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Marlies
GP: 44 | W: 26 | L: 17 | OTL: 1 | P: 53
GF: 148 | GA: 131 | PP%: 20.30% | PK%: 79.56%
DG: Justin Roux | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #723 vs Eagles

Centre de jeu
Marlies
26-17-1, 53pts
2
1 Phantoms
19-21-3, 41pts
Team Stats
L1SéquenceW1
17-9-0Fiche domicile11-10-2
9-8-1Fiche domicile8-11-1
8-2-0Derniers 10 matchs3-6-1
3.36Buts par match 2.74
2.98Buts contre par match 3.28
20.30%Pourcentage en avantage numérique14.58%
79.56%Pourcentage en désavantage numérique81.22%
Canucks
26-17-1, 53pts
4
3 Marlies
26-17-1, 53pts
Team Stats
W2SéquenceL1
13-6-0Fiche domicile17-9-0
13-11-1Fiche domicile9-8-1
5-5-0Derniers 10 matchs8-2-0
3.43Buts par match 3.36
3.09Buts contre par match 2.98
25.31%Pourcentage en avantage numérique20.30%
78.89%Pourcentage en désavantage numérique79.56%
Marlies
26-17-1, 53pts
2026-01-12
Eagles
20-20-4, 44pts
Statistiques d’équipe
L1SéquenceL1
17-9-0Fiche domicile8-12-1
9-8-1Fiche visiteur12-8-3
8-2-010 derniers matchs5-5-0
3.36Buts par match 2.89
2.98Buts contre par match 2.89
20.30%Pourcentage en avantage numérique18.75%
79.56%Pourcentage en désavantage numérique81.43%
Marlies
26-17-1, 53pts
2026-01-13
Roadrunners
24-19-3, 51pts
Statistiques d’équipe
L1SéquenceOTL1
17-9-0Fiche domicile11-7-2
9-8-1Fiche visiteur13-12-1
8-2-010 derniers matchs5-4-1
3.36Buts par match 3.30
2.98Buts contre par match 3.30
20.30%Pourcentage en avantage numérique25.42%
79.56%Pourcentage en désavantage numérique77.44%
Marlies
26-17-1, 53pts
2026-01-15
Silver Knights
19-20-5, 43pts
Statistiques d’équipe
L1SéquenceL1
17-9-0Fiche domicile11-8-3
9-8-1Fiche visiteur8-12-2
8-2-010 derniers matchs7-3-0
3.36Buts par match 3.09
2.98Buts contre par match 3.09
20.30%Pourcentage en avantage numérique18.13%
79.56%Pourcentage en désavantage numérique77.08%
Meneurs d'équipe
Ben KingButs
Ben King
20
Ben KingPasses
Ben King
27
Ben KingPoints
Ben King
47
Jack MatierPlus/Moins
Jack Matier
13
Daniil TarasovVictoires
Daniil Tarasov
26
Kaapo KahkonenPourcentage d’arrêts
Kaapo Kahkonen
0.971

Statistiques d’équipe
Buts pour
148
3.36 GFG
Tirs pour
1462
33.23 Avg
Pourcentage en avantage numérique
20.3%
27 GF
Début de zone offensive
39.9%
Buts contre
131
2.98 GAA
Tirs contre
1487
33.80 Avg
Pourcentage en désavantage numérique
79.6%%
37 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralJustin Roux
EntraîneurDan Watson
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,625
Billets de saison3,750


Informations de la formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 70
Espoirs25


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
1Jake Lucchini (R)X100.00613884637081876268606164627072040630313925,000$
2Ben KingX100.00744182598375835864575960566365040620242925,000$
3Joel TeasdaleXX100.00683982597778845860555657546668040610274925,000$
4Josh DunneX100.00784274588979775964575655586769040610274925,000$
5Josh LopinaXX100.00703989587966845761555659576466040610253925,000$
6Dylan WendtX100.00673795597669625755585654596466040600253925,000$
7Lleyton RoedX100.00613789587082715761595956586365040600243925,000$
8Riley Fiddler-SchultzX100.00653987587480705762565955576365040600243925,000$
9Maros JedlickaX100.00703893557963625461535756606365040590233925,000$
10Gleb VeremyevX100.00784373558771605459535057516264040580233925,000$
11Sahil PanwarX100.00593881567274685452555553566365040580243925,000$
12Ryan GagnierX100.00553792547271645257535551546365040570243925,000$
13Trevor Janicke (R)X100.00563695546963615358525051556567040570253925,000$
14Jack MatierX100.00844190539364705230545159456264040600232925,000$
15Isaac BelliveauX100.00684179557766635430565257466365040580233925,000$
16Jackson EdwardX100.00703986547963655330565255456163040580223926,000$
17Joseph ArntsenX100.00764371538566605230505554466264040580233925,000$
18Cam McDonaldX100.00553784546462635330525055456466040560253925,000$
Rayé
1Milos KelemenX100.00734369648279736162635559606668040620274925,000$
2Braeden KresslerX100.00573875556381615361545052556264040560233925,000$
MOYENNE D’ÉQUIPE100.0067398457777269565355555654646604059
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
1Daniil Tarasov100.00848076928382848382848366750407102741,050,000$
2Kaapo Kahkonen100.00798580847877797877797871830406803031,400,000$
Rayé
1Adam Scheel100.00748177827372747372747366750406602731,499,999$
2Connor Hughes100.00747671937372747372747369830406602931,000,000$
MOYENNE D’ÉQUIPE100.007881768877767877767877687904068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Watson62716774696581CAN453500,000$


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
1Ben KingMarlies (TOR)C4420274712140821201526612313.16%1897422.1447112111320231804051.18%110000020.9702000335
2Josh LopinaMarlies (TOR)C/RW44172441121205461119346914.29%685319.40167201120111254041.07%11200000.9601000234
3Milos KelemenMarlies (TOR)LW3711243545559511614238917.75%1487123.564610249301121400244.32%37000000.8012000331
4Joel TeasdaleMarlies (TOR)C/LW44151833218048811483211210.14%1683018.88369351093035892058.54%8200000.7901000301
5Josh DunneMarlies (TOR)C441714311620129108114337714.91%782318.71551026970112742248.93%107700010.7501000313
6Lleyton RoedMarlies (TOR)LW44101626500327012324818.13%666015.020114140001242144.44%4500000.7900000100
7Dylan WendtMarlies (TOR)RW4481725140136213129976.11%378217.7925730106000041042.86%6300000.6411000112
8Riley Fiddler-SchultzMarlies (TOR)C447182556055879229777.61%761013.8700000000002147.77%60500000.8200000020
9Maros JedlickaMarlies (TOR)C40913224120486379175011.39%460815.2000000000003042.86%12600000.7201000111
10Isaac BelliveauMarlies (TOR)D444151912621093444812248.33%5888820.1832527920001125000%000000.4300100011
11Jackson EdwardMarlies (TOR)D44116171040079363615352.78%5791720.85011111020111131000%000000.3700000011
12Joseph ArntsenMarlies (TOR)D441161710541089333815242.63%67100622.87011181070221139000%000000.3400002001
13Jack MatierMarlies (TOR)D44512171332072406014328.33%81102523.30336261130003146000%000100.3300000101
14Jake LucchiniMarlies (TOR)C228614720173158163613.79%12119.61101419000021046.60%10300011.3201000202
15Cam McDonaldMarlies (TOR)D44459112043322471816.67%4174716.98000311000070110%000000.2400000102
16Sahil PanwarMarlies (TOR)LW4026802406934298146.90%3161015.260000000000000%100000.2600000002
17Isaak PhillipsMaple LeafsD4257500791861411.11%49724.38123121500005000%000001.4400000100
18Gleb VeremyevMarlies (TOR)C4013431753384412.50%0751.89022360000111046.67%3000001.0600010010
19Antonio StrangesMaple LeafsC430330018122425.00%14210.6200000000001050.00%5200001.4100000010
20Josiah SlavinMaple LeafsLW40333001012163140%07117.9300000000000016.67%600000.8400000010
21Rory KerinsMaple LeafsC4033320311114180%27218.0700000000000060.00%10500000.8300000001
22Ryan GagnierMarlies (TOR)C4011220011620250.00%0741.87000000111680148.75%8000000.5400000001
23Trevor JanickeMarlies (TOR)C40011300011000%0210.5400003000000071.43%700000.9300000000
24Braeden KresslerMarlies (TOR)C22000-120221020%1261.20000140000150062.50%80000000000000
Statistiques d’équipe totales ou en moyenne8251462634091204303010451080146240810189.99%4251290315.642747742651126571221125824848.82%397200140.63210112221929
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
1Daniil TarasovMarlies (TOR)44261710.9093.0525340012914180001.00011440351
2Kaapo KahkonenMarlies (TOR)40000.9711.041150026900000044000
Statistiques d’équipe totales ou en moyenne48261710.9122.972650001311487000114444351


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
Adam ScheelMarlies (TOR)G271999-05-01USANo192 Lbs191 CMNoNoFree Agent2024-10-24NoYes32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ben KingMarlies (TOR)C242002-05-15CANNo200 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Braeden KresslerMarlies (TOR)C232003-01-05CANNo169 Lbs175 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cam McDonaldMarlies (TOR)D252001-02-03USANo174 Lbs175 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Connor HughesMarlies (TOR)G291996-09-10CHENo233 Lbs193 CMNoNoFree AgentYesYes32025-07-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Daniil TarasovMarlies (TOR)G271999-03-27RUSNo203 Lbs196 CMNoNoN/ANoNo42024-06-23FalseFalsePro & Farm1,050,000$0$0$No1,050,000$1,050,000$1,050,000$------1,050,000$1,050,000$1,050,000$------NoNoNo------Lien / Lien NHL
Dylan WendtMarlies (TOR)RW252001-01-09USANo195 Lbs185 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Gleb VeremyevMarlies (TOR)C232003-06-28USANo205 Lbs193 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Isaac BelliveauMarlies (TOR)D232002-11-26CANNo185 Lbs188 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jack MatierMarlies (TOR)D232003-04-08CANNo205 Lbs198 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jackson EdwardMarlies (TOR)D222004-02-27CANNo193 Lbs188 CMNoNoFree AgentNoNo32025-07-13FalseFalsePro & Farm926,000$0$0$No926,000$926,000$-------926,000$926,000$-------NoNo-------Lien / Lien NHL
Jake LucchiniMarlies (TOR)C311995-05-09CANYes180 Lbs183 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Joel TeasdaleMarlies (TOR)C/LW271999-03-11CANNo212 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Joseph ArntsenMarlies (TOR)D232003-05-22CANNo210 Lbs191 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Josh DunneMarlies (TOR)C271998-12-08USANo211 Lbs193 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Josh LopinaMarlies (TOR)C/RW252001-02-16USANo195 Lbs188 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Kaapo KahkonenMarlies (TOR)G301996-08-16FINNo217 Lbs188 CMNoNoFree AgentYesYes32025-07-13FalseFalsePro & Farm1,400,000$0$0$No1,400,000$1,400,000$-------1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Lleyton RoedMarlies (TOR)LW242002-08-08USANo179 Lbs183 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Maros JedlickaMarlies (TOR)C232002-10-23SVKNo194 Lbs188 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Milos KelemenMarlies (TOR)LW271999-07-06SVKNo210 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Riley Fiddler-SchultzMarlies (TOR)C242002-05-13CANNo200 Lbs183 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ryan GagnierMarlies (TOR)C242002-07-16CANNo187 Lbs183 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Sahil PanwarMarlies (TOR)LW242002-01-26CANNo189 Lbs183 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Trevor JanickeMarlies (TOR)C252000-12-25USAYes193 Lbs178 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.21197 Lbs188 CM3.08977,125$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake LucchiniBen KingJosh Lopina40122
2Joel TeasdaleJosh DunneDylan Wendt30122
3Lleyton RoedRiley Fiddler-SchultzMaros Jedlicka20122
4Sahil PanwarMaros JedlickaBen King10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack MatierJoseph Arntsen40122
2Jackson EdwardIsaac Belliveau30122
3Cam McDonaldSahil Panwar20122
4Jack MatierJoseph Arntsen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake LucchiniBen KingJosh Lopina60122
2Joel TeasdaleJosh DunneDylan Wendt40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack MatierJoseph Arntsen60122
2Jackson EdwardIsaac Belliveau40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josh LopinaBen King60122
2Josh DunneJoel Teasdale40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack MatierJoseph Arntsen60122
2Jackson EdwardIsaac Belliveau40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josh Dunne60122Jack MatierJoseph Arntsen60122
2Ben King40122Jackson EdwardIsaac Belliveau40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh LopinaBen King60122
2Josh DunneJoel Teasdale40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack MatierJoseph Arntsen60122
2Jackson EdwardIsaac Belliveau40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LucchiniBen KingJosh LopinaJack MatierJoseph Arntsen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LucchiniBen KingJosh LopinaJack MatierJoseph Arntsen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gleb Veremyev, Trevor Janicke, Ryan GagnierGleb Veremyev, Trevor JanickeRyan Gagnier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam McDonald, Jackson Edward, Isaac BelliveauCam McDonaldJackson Edward, Isaac Belliveau
Tirs de pénalité
Jake Lucchini, Ben King, Josh Dunne, Joel Teasdale, Josh Lopina
Gardien
#1 : Daniil Tarasov, #2 : Kaapo Kahkonen


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
1Admirals22000000633110000002111100000042241.000611170045485236848347949218702219521119.09%6266.67%1783157649.68%806166948.29%35070649.58%9776571108335568274
2Americans211000008801010000035-21100000053220.500815230045485236148347949218682118496466.67%7271.43%0783157649.68%806166948.29%35070649.58%9776571108335568274
3Barracuda1010000034-11010000034-10000000000000.000358004548523474834794921837111034400.00%50100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
4Bears2010001059-4000000000002010001059-420.5005712004548523494834794921872232050300.00%10370.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
5Bruins2110000067-1110000003211010000035-220.500610160045485236748347949218641914464125.00%70100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
6Canucks1010000034-11010000034-10000000000000.000358004548523324834794921842128283133.33%4175.00%1783157649.68%806166948.29%35070649.58%9776571108335568274
7Checkers21000100862110000006331000010023-130.75081523004548523914834794921863141949400.00%7271.43%1783157649.68%806166948.29%35070649.58%9776571108335568274
8Comets21100000651211000006510000000000020.50061218004548523684834794921856192140600.00%7185.71%0783157649.68%806166948.29%35070649.58%9776571108335568274
9Condors1010000023-11010000023-10000000000000.000235004548523314834794921841128174125.00%40100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
10Crunch1010000024-21010000024-20000000000000.00023500454852339483479492183591224400.00%60100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
11Firebirds11000000523110000005230000000000021.000510150045485234048347949218194817300.00%4175.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
12Griffins330000001569110000007432200000082661.000152944004548523118483479492188318126413430.77%6266.67%0783157649.68%806166948.29%35070649.58%9776571108335568274
13Heat11000000633110000006330000000000021.00061117004548523314834794921841184173266.67%20100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
14IceHogs22000000835110000005141100000032141.000814220045485236448347949218791524484250.00%12191.67%0783157649.68%806166948.29%35070649.58%9776571108335568274
15Monsters30300000411-71010000034-12020000017-600.000471100454852370483479492189528265910110.00%12283.33%0783157649.68%806166948.29%35070649.58%9776571108335568274
16Moose11000000963110000009630000000000021.0009172600454852339483479492182710123722100.00%6350.00%1783157649.68%806166948.29%35070649.58%9776571108335568274
17Penguins302000101011-1201000109901010000012-120.3331014240045485231134834794921810228435610440.00%14471.43%0783157649.68%806166948.29%35070649.58%9776571108335568274
18Phantoms21001000532000000000002100100053241.00051015004548523524834794921863211846700.00%9188.89%0783157649.68%806166948.29%35070649.58%9776571108335568274
19Reign11000000431110000004310000000000021.0004812004548523294834794921824810214125.00%5260.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
20Roadrunners11000000431110000004310000000000021.00047110045485233448347949218377831200.00%4250.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
21Rocket321000001174220000009361010000024-240.6671119300045485231024834794921897272684800.00%13192.31%0783157649.68%806166948.29%35070649.58%9776571108335568274
22Senators11000000431110000004310000000000021.0004711004548523394834794921845143626200.00%4250.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
23Sound Tigers11000000321000000000001100000032121.00035800454852331483479492183212822200.00%4175.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
24Stars1010000012-1000000000001010000012-100.00012300454852321483479492184091029200.00%5180.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
25Thunderbirds11000000312110000003120000000000021.000369004548523284834794921834152286116.67%110.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
26Wolf Pack1010000026-41010000026-40000000000000.0002350045485233048347949218381412252150.00%60100.00%0783157649.68%806166948.29%35070649.58%9776571108335568274
27Wolves2110000056-1110000003121010000025-320.50058130045485236848347949218831522464125.00%11281.82%1783157649.68%806166948.29%35070649.58%9776571108335568274
Total4423170112014813117261690001010380231878011104551-6530.602148263411004548523146248347949218148742543010451332720.30%1813779.56%5783157649.68%806166948.29%35070649.58%9776571108335568274
_Since Last GM Reset4423170112014813117261690001010380231878011104551-6530.602148263411004548523146248347949218148742543010451332720.30%1813779.56%5783157649.68%806166948.29%35070649.58%9776571108335568274
_Vs Conference3013130112094940158600010574981557011103745-8330.5509416425800454852399848347949218996282307686851618.82%1232381.30%2783157649.68%806166948.29%35070649.58%9776571108335568274
_Vs Division149400100544113862000003424106320010020173190.67954981520045485235174834794921845512213734241921.95%50982.00%1783157649.68%806166948.29%35070649.58%9776571108335568274

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4453L114826341114621487425430104500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4423171120148131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26169001010380
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187811104551
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1332720.30%1813779.56%5
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
483479492184548523
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
783157649.68%806166948.29%35070649.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9776571108335568274


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 - 2025-10-084Rocket1Marlies4WSommaire du match
5 - 2025-10-1125Marlies4Griffins1WSommaire du match
7 - 2025-10-1343Griffins4Marlies7WSommaire du match
8 - 2025-10-1449Admirals1Marlies2WSommaire du match
10 - 2025-10-1661Wolf Pack6Marlies2LSommaire du match
12 - 2025-10-1879Firebirds2Marlies5WSommaire du match
15 - 2025-10-2198Comets3Marlies2LSommaire du match
18 - 2025-10-24123Marlies5Americans3WSommaire du match
19 - 2025-10-25132Americans5Marlies3LSommaire du match
22 - 2025-10-28151Heat3Marlies6WSommaire du match
23 - 2025-10-29166Marlies1Monsters2LSommaire du match
26 - 2025-11-01188Marlies3Phantoms2WSommaire du match
28 - 2025-11-03199Penguins5Marlies4LSommaire du match
30 - 2025-11-05213Roadrunners3Marlies4WSommaire du match
33 - 2025-11-08234Bruins2Marlies3WSommaire du match
34 - 2025-11-09246Wolves1Marlies3WSommaire du match
36 - 2025-11-11256Marlies3Bruins5LSommaire du match
38 - 2025-11-13269Reign3Marlies4WSommaire du match
40 - 2025-11-15291Marlies3IceHogs2WSommaire du match
43 - 2025-11-18307Thunderbirds1Marlies3WSommaire du match
45 - 2025-11-20319Monsters4Marlies3LSommaire du match
47 - 2025-11-22337Marlies2Rocket4LSommaire du match
51 - 2025-11-26369Marlies0Monsters5LSommaire du match
53 - 2025-11-28386Marlies0Bears5LSommaire du match
54 - 2025-11-29396Marlies1Penguins2LSommaire du match
57 - 2025-12-02413Marlies2Checkers3LXSommaire du match
59 - 2025-12-04431Marlies2Wolves5LSommaire du match
61 - 2025-12-06444Rocket2Marlies5WSommaire du match
63 - 2025-12-08461Crunch4Marlies2LSommaire du match
66 - 2025-12-11480Barracuda4Marlies3LSommaire du match
68 - 2025-12-13499Condors3Marlies2LSommaire du match
71 - 2025-12-16520IceHogs1Marlies5WSommaire du match
73 - 2025-12-18539Marlies5Bears4WXXSommaire du match
75 - 2025-12-20558Marlies4Admirals2WSommaire du match
76 - 2025-12-21568Marlies1Stars2LSommaire du match
78 - 2025-12-23575Penguins4Marlies5WXXSommaire du match
82 - 2025-12-27590Senators3Marlies4WSommaire du match
83 - 2025-12-28601Marlies4Griffins1WSommaire du match
85 - 2025-12-30617Comets2Marlies4WSommaire du match
87 - 2026-01-01634Moose6Marlies9WSommaire du match
89 - 2026-01-03651Marlies3Sound Tigers2WSommaire du match
92 - 2026-01-06672Checkers3Marlies6WSommaire du match
94 - 2026-01-08686Marlies2Phantoms1WXSommaire du match
96 - 2026-01-10702Canucks4Marlies3LSommaire du match
98 - 2026-01-12723Marlies-Eagles-
99 - 2026-01-13733Marlies-Roadrunners-
101 - 2026-01-15748Marlies-Silver Knights-
103 - 2026-01-17762Marlies-Moose-
105 - 2026-01-19774Wild-Marlies-
107 - 2026-01-21788Griffins-Marlies-
109 - 2026-01-23802Silver Knights-Marlies-
111 - 2026-01-25819Eagles-Marlies-
113 - 2026-01-27831Americans-Marlies-
115 - 2026-01-29857Marlies-Firebirds-
117 - 2026-01-31869Marlies-Canucks-
119 - 2026-02-02885Marlies-Heat-
120 - 2026-02-03891Marlies-Condors-
142 - 2026-02-25912Marlies-Crunch-
143 - 2026-02-26921Marlies-Checkers-
145 - 2026-02-28939Senators-Marlies-
147 - 2026-03-02954Phantoms-Marlies-
149 - 2026-03-04971Marlies-Comets-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07994Crunch-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101014Marlies-Rocket-
157 - 2026-03-121029Gulls-Marlies-
159 - 2026-03-141047Marlies-Americans-
160 - 2026-03-151060Marlies-Wild-
162 - 2026-03-171068Sound Tigers-Marlies-
165 - 2026-03-201094Wolves-Marlies-
166 - 2026-03-211106Marlies-Senators-
169 - 2026-03-241120Marlies-Bruins-
170 - 2026-03-251136Wolf Pack-Marlies-
173 - 2026-03-281160Marlies-Thunderbirds-
175 - 2026-03-301176Marlies-Gulls-
178 - 2026-04-021202Marlies-Barracuda-
180 - 2026-04-041217Marlies-Reign-
184 - 2026-04-081245Bears-Marlies-
185 - 2026-04-091252Marlies-Sound Tigers-
187 - 2026-04-111270Checkers-Marlies-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance72,04748,197
Assistance PCT92.37%92.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 4625 - 92.50% 141,740$3,685,229$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,517,609$ 2,345,100$ 2,345,100$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,266,351$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,126,094$ 96 14,741$ 1,415,136$




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