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Marlies
GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 19 | GA: 12 | PP%: 36.36% | PK%: 77.78%
DG: Alain Ricard | Morale : 52 | Moyenne d’équipe : 64
Prochains matchs #109 vs Checkers

Centre de jeu
Crunch
4-2-1, 9pts
2
FINAL
4 Marlies
4-2-0, 8pts
Team Stats
W1SéquenceW2
1-1-1Fiche domicile2-1-0
3-1-0Fiche domicile2-1-0
4-2-1Derniers 10 matchs4-2-0
3.00Buts par match 3.17
2.71Buts contre par match 2.00
16.67%Pourcentage en avantage numérique36.36%
100.00%Pourcentage en désavantage numérique77.78%
Marlies
4-2-0, 8pts
7
FINAL
2 Comets
2-5-0, 4pts
Team Stats
W2SéquenceL2
2-1-0Fiche domicile0-3-0
2-1-0Fiche domicile2-2-0
4-2-0Derniers 10 matchs2-5-0
3.17Buts par match 2.71
2.00Buts contre par match 4.29
36.36%Pourcentage en avantage numérique28.57%
77.78%Pourcentage en désavantage numérique77.78%
Checkers
3-4-0, 6pts
2025-08-27
Marlies
4-2-0, 8pts
Statistiques d’équipe
W1SéquenceW2
2-1-0Fiche domicile2-1-0
1-3-0Fiche visiteur2-1-0
3-4-010 derniers matchs4-2-0
2.86Buts par match 3.17
3.14Buts contre par match 3.17
14.29%Pourcentage en avantage numérique36.36%
78.57%Pourcentage en désavantage numérique77.78%
Marlies
4-2-0, 8pts
2025-08-29
Crunch
4-2-1, 9pts
Statistiques d’équipe
W2SéquenceW1
2-1-0Fiche domicile1-1-1
2-1-0Fiche visiteur3-1-0
4-2-010 derniers matchs4-2-1
3.17Buts par match 3.00
2.00Buts contre par match 3.00
36.36%Pourcentage en avantage numérique16.67%
77.78%Pourcentage en désavantage numérique100.00%
SenatorsF
3-0-3, 9pts
2025-08-31
Marlies
4-2-0, 8pts
Statistiques d’équipe
OTW1SéquenceW2
1-0-2Fiche domicile2-1-0
2-0-1Fiche visiteur2-1-0
3-0-310 derniers matchs4-2-0
3.50Buts par match 3.17
3.00Buts contre par match 3.17
26.67%Pourcentage en avantage numérique36.36%
100.00%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
Nicholas Robertson
4
Passes
Emil Lilleberg
6
Points
Nicholas Robertson
7
Plus/Moins
William Lagesson
5
Victoires
Michael Houser
4
Pourcentage d’arrêts
Michael Houser
0.925

Statistiques d’équipe
Buts pour
19
3.17 GFG
Tirs pour
167
27.83 Avg
Pourcentage en avantage numérique
36.4%
4 GF
Début de zone offensive
39.6%
Buts contre
12
2.00 GAA
Tirs contre
159
26.50 Avg
Pourcentage en désavantage numérique
77.8%%
4 GA
Début de la zone défensive
43.2%
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
Assistance2,862
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs23


Historique d'équipe

Saison actuelle4-2-0 (8PTS)
Historique86-72-13 (0.503%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Lukas Reichel (R)XX100.006445918167728873617272727065457054670233900,000$
2Nicholas Robertson (R)XX100.006845908066728775617074727260457054670243900,000$
3Givani SmithXX100.0079556578767479786674707661575162546702711,800,000$
4Peyton KrebsX100.006949827869769273747467685968466654660242900,000$
5Pontus AbergXX100.0057449772727481715870696967705338546503121,500,000$
6Jackson CatesX100.0058459874726974708265697064584860546402711,000,000$
7Laurent DauphinXX100.0074468773707374716667687366584642546403031,800,000$
8Kyle ToppingX100.007449757369727067726766666047456654630252750,000$
9Adam HelewkaXX100.007245757271667667616667746061505254630301800,000$
10Greg MckeggXXX100.005842956971696767626462716063494654620331800,000$
11Dan O'ReganX100.006045957069677168726663706160494954620311850,000$
12Marcus KallionkeliXX100.007149767372696965596363655846456744600242750,000$
13Luke HughesX100.006445897170889071457871696358617654670222900,000$
14Vladislav GavrikovX100.0065509072737990704573677360715354546702922,000,000$
15William LagessonX100.0064468568717673754573757260635250546602921,700,000$
16Emil LillebergX100.0077458573727875724572647561474666546602432,000,000$
17David FarranceX100.006545867369777474457164745847466654650262750,000$
18Thomas LarkinX100.0070668569767271724568707263504738556503411,250,000$
Rayé
1Jan JenikXX92.907856707370777774627171746851476643650252750,000$
2Evan BarrattX100.006949827268727065746865656047455644620262750,000$
3Philippe CornetX100.0059459970716767656561636461484534446003511,000,000$
4Maxime FortierXX100.005757897567646363686059666148476044590272700,000$
5Alan LyszczarczykXXX100.006447877269656460695757616146455444580271500,000$
6Dmitri YudinX100.0065458672697569714569607454595250446403011,200,000$
7Nikita CherepanovX100.0062458772737470684562706960595050446302911,200,000$
8Danila GalenyukX100.006449797372696967456665696045456644620252750,000$
9David KvasnickaX100.006445887267696968456560705445455944620262750,000$
10Will WeberX100.006044867074666466456161675946453044600361950,000$
MOYENNE D’ÉQUIPE99.71664886737172747058686670615548565064
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
1Michael Houser100.007775747676838685868679495647556603311,950,000$
2Sami Aittokallio100.007780797777737978777680495447556203331,000,000$
Rayé
1Maksim Zhukov100.00787766807875757777767348496447610261600,000$
MOYENNE D’ÉQUIPE100.0077777378777780808079774953535263
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Gainey72778685999910CAN713100,000$


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
1Nicholas RobertsonMarlies (Tor)LW/RW64373205419122021.05%010818.0320258000000060.00%500001.2900000012
2Jackson CatesMarlies (Tor)C6246400111113518.18%311018.37101470000130155.40%13900001.0900000020
3Emil LillebergMarlies (Tor)D60665407111180%1112320.6302208000012000%000000.9700000000
4Givani SmithMarlies (Tor)LW/RW63364402061641618.75%111118.50011370002130055.56%900001.0800000200
5Peyton KrebsMarlies (Tor)C6325320841241525.00%010717.9400018000012053.54%12700000.9300000101
6Lukas ReichelMarlies (Tor)LW/RW614544014181105.56%19916.5502227000000157.14%700001.0100000001
7Kyle ToppingMarlies (Tor)C61341007742825.00%09515.90011000001140035.96%11400000.8400000000
8Luke HughesMarlies (Tor)D612336013372414.29%1012320.620112700002000%000000.4900000100
9Pontus AbergMarlies (Tor)LW/RW60333000420680%110417.4100027000000050.00%800000.5700000000
10William LagessonMarlies (Tor)D6022560326050%811419.120003700005000%000000.3500000000
11Jan JenikMarlies (Tor)LW/RW611202048122138.33%07813.13000000000130066.67%300000.5100000010
12David FarranceMarlies (Tor)D6011-100467570%812220.4000038000014000%000000.1600000000
13Greg MckeggMarlies (Tor)C/LW/RW6101-1000441425.00%1457.6010110000000039.13%4600000.4400000000
14Laurent DauphinMarlies (Tor)LW/RW61011001711239.09%28514.2600000000141050.00%800000.2300000000
15Thomas LarkinMarlies (Tor)D6011-11151136420%1610918.2201100000012000%000000.1800001000
16Vladislav GavrikovMarlies (Tor)D6011320925450%1012520.9100000000013000%000000.1600000000
17Dan O'ReganMarlies (Tor)C6011000012220%0579.6100000000000025.00%400000.3500000000
18Adam HelewkaMarlies (Tor)LW/RW6101-1005462316.67%2437.32000000000010100.00%200000.4600000000
Statistiques d’équipe totales ou en moyenne1081937563543599911675713811.38%74176716.364812267900041224248.52%47200000.6300001444
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
1Michael HouserMarlies (Tor)64200.9252.0135900121590000060001
Statistiques d’équipe totales ou en moyenne64200.9252.013590012159000060001


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 HelewkaMarlies (Tor)LW/RW301995-07-21CANNo205 Lbs6 ft2NoNoN/ANoNo12025-05-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Alan LyszczarczykMarlies (Tor)C/LW/RW271998-02-17POLNo204 Lbs5 ft10NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Dan O'ReganMarlies (Tor)C311994-01-30DEUNo180 Lbs5 ft10NoNoTrade2025-05-26NoNo12024-07-10FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Danila GalenyukMarlies (Tor)D252000-02-11RUSNo207 Lbs6 ft1NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
David FarranceMarlies (Tor)D261999-06-23USANo189 Lbs5 ft11NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
David KvasnickaMarlies (Tor)D261999-04-14CZENo181 Lbs5 ft10NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Dmitri YudinMarlies (Tor)D301995-07-31RUSNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Emil LillebergMarlies (Tor)D242001-02-02NORNo202 Lbs6 ft2NoNoFree AgentNoNo32025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Evan BarrattMarlies (Tor)C261999-02-18USANo188 Lbs6 ft0NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Givani SmithMarlies (Tor)LW/RW271998-02-28CANNo210 Lbs6 ft2NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Greg MckeggMarlies (Tor)C/LW/RW331992-06-12CANNo195 Lbs6 ft0NoNoTrade2025-08-05NoNo12024-07-26FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Jackson CatesMarlies (Tor)C271997-09-28USANo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Jan Jenik (sur la masse salariale)Marlies (Tor)LW/RW252000-09-15CZENo185 Lbs6 ft1NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$Yes750,000$--------750,000$--------No--------Lien
Kyle ToppingMarlies (Tor)C251999-11-18CANNo185 Lbs5 ft11NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Laurent DauphinMarlies (Tor)LW/RW301995-03-27CANNo181 Lbs6 ft1NoNoFree AgentNoNo32025-07-06FalseFalsePro & Farm1,800,000$0$0$No1,800,000$1,800,000$-------1,800,000$1,800,000$-------NoNo-------Lien
Lukas ReichelMarlies (Tor)LW/RW232002-05-17DEUYes170 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Luke HughesMarlies (Tor)D222003-09-09USANo184 Lbs6 ft2NoNoProspectNoNo22024-06-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Maksim ZhukovMarlies (Tor)G261999-07-22RUSNo190 Lbs6 ft3NoNoN/ANoNo12025-05-28FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Marcus KallionkeliMarlies (Tor)LW/RW242001-03-20FINNo201 Lbs6 ft2NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Maxime FortierMarlies (Tor)LW/RW271997-12-15CANNo183 Lbs5 ft10NoNoN/ANoNo22024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Michael HouserMarlies (Tor)G331992-09-13USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,950,000$0$0$No---------------------------Lien
Nicholas RobertsonMarlies (Tor)LW/RW242001-09-11USAYes178 Lbs5 ft9NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Nikita CherepanovMarlies (Tor)D291995-11-19RUSNo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Peyton KrebsMarlies (Tor)C242001-01-26CANNo186 Lbs6 ft0NoNoProspectNoNo22024-06-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Philippe CornetMarlies (Tor)C351990-03-28CANNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Pontus AbergMarlies (Tor)LW/RW311993-09-23SWENo194 Lbs6 ft0NoNoFree Agent2024-03-25NoNo22025-07-06FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Sami AittokallioMarlies (Tor)G331992-08-06FINNo189 Lbs6 ft2NoNoN/ANoNo32025-04-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Thomas LarkinMarlies (Tor)D341990-12-31ENGNo227 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Vladislav GavrikovMarlies (Tor)D291995-11-21RUSNo213 Lbs6 ft3NoNoN/ANoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Will WeberMarlies (Tor)D361988-10-28CANNo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
William LagessonMarlies (Tor)D291996-02-22SWENo207 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3128.10195 Lbs6 ft11.741,079,032$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonPeyton KrebsPontus Aberg34023
2Lukas ReichelJackson CatesGivani Smith31023
3Adam HelewkaKyle ToppingLaurent Dauphin27032
4Marcus KallionkeliGreg MckeggDan O'Regan8041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesVladislav Gavrikov35050
2Emil LillebergWilliam Lagesson33041
3Thomas LarkinDavid Farrance32050
4Luke HughesVladislav Gavrikov0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonPeyton KrebsLukas Reichel60005
2Givani SmithJackson CatesPontus Aberg40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesWilliam Lagesson50023
2Emil LillebergDavid Farrance50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jackson CatesGivani Smith50050
2Kyle ToppingMarcus Kallionkeli50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas LarkinVladislav Gavrikov50050
2Emil LillebergDavid Farrance50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jackson Cates50050Thomas LarkinVladislav Gavrikov50050
2Peyton Krebs50050Emil LillebergDavid Farrance50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas RobertsonGivani Smith50122
2Lukas ReichelPeyton Krebs50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesVladislav Gavrikov50122
2Emil LillebergWilliam Lagesson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonPeyton KrebsGivani SmithLuke HughesVladislav Gavrikov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonPeyton KrebsGivani SmithEmil LillebergVladislav Gavrikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dan O'Regan, Marcus Kallionkeli, Laurent DauphinDan O'Regan, Marcus KallionkeliLaurent Dauphin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Larkin, David Farrance, Emil LillebergThomas LarkinDavid Farrance, Emil Lilleberg
Tirs de pénalité
Nicholas Robertson, Givani Smith, Lukas Reichel, Peyton Krebs, Pontus Aberg
Gardien
#1 : Michael Houser, #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
1Americans1010000002-2000000000001010000002-200.00000000125201868465301710615200.00%30100.00%08618745.99%9820448.04%458155.56%13795149447335
2Bears11000000422110000004220000000000021.000481200125203368465303591016100.00%4175.00%08618745.99%9820448.04%458155.56%13795149447335
3Comets11000000725000000000001100000072521.00071320001252032684653023721533100.00%10100.00%08618745.99%9820448.04%458155.56%13795149447335
4Condors11000000321000000000001100000032121.000369001252026684653041211323100.00%40100.00%08618745.99%9820448.04%458155.56%13795149447335
5Crunch11000000422110000004220000000000021.000481200125203068465302012415100.00%2150.00%08618745.99%9820448.04%458155.56%13795149447335
6Rocket1010000012-11010000012-10000000000000.000123001252028684653023158153133.33%4250.00%08618745.99%9820448.04%458155.56%13795149447335
Total64200000191273210000096332100000106480.6671937560012520167684653015974439911436.36%18477.78%08618745.99%9820448.04%458155.56%13795149447335
_Since Last GM Reset64200000191273210000096332100000106480.6671937560012520167684653015974439911436.36%18477.78%08618745.99%9820448.04%458155.56%13795149447335
_Vs Conference5320000016106321000009632110000074360.6001631470012520141684653011853307610440.00%14471.43%08618745.99%9820448.04%458155.56%13795149447335
_Vs Division202000001147101000004221010000072500.0001121320012520656846530581612314375.00%5180.00%08618745.99%9820448.04%458155.56%13795149447335

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
68W219375616715974439900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
64200001912
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000096
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000106
Derniers 10 matchs
WLOTWOTL SOWSOL
420000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11436.36%18477.78%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
684653012520
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
8618745.99%9820448.04%458155.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13795149447335


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-08-1418Bears2Marlies4WSommaire du match
5 - 2025-08-1632Rocket2Marlies1LSommaire du match
7 - 2025-08-1847Marlies3Condors2WSommaire du match
9 - 2025-08-2059Marlies0Americans2LSommaire du match
11 - 2025-08-2276Crunch2Marlies4WSommaire du match
13 - 2025-08-2491Marlies7Comets2WSommaire du match
16 - 2025-08-27109Checkers-Marlies-
18 - 2025-08-29128Marlies-Crunch-
20 - 2025-08-31140SenatorsF-Marlies-
22 - 2025-09-02155Marlies-Wolves-
24 - 2025-09-04172Marlies-Islanders-
26 - 2025-09-06183Phantoms-Marlies-
28 - 2025-09-08201Marlies-Wolf Pack-
30 - 2025-09-10212Griffins-Marlies-
32 - 2025-09-12230Marlies-Bears-
33 - 2025-09-13245Islanders-Marlies-
36 - 2025-09-16258Marlies-Firebirds-
37 - 2025-09-17272Marlies-Admirals-
39 - 2025-09-19285SenatorsF-Marlies-
41 - 2025-09-21305Marlies-Barracuda-
43 - 2025-09-23316Monsters-Marlies-
46 - 2025-09-26340Phantoms-Marlies-
48 - 2025-09-28356Marlies-Bears-
49 - 2025-09-29368Marlies-BruinsF-
51 - 2025-10-01381Iowa Wild-Marlies-
54 - 2025-10-04402Marlies-Islanders-
56 - 2025-10-06413Islanders-Marlies-
58 - 2025-10-08427Marlies-Condors-
60 - 2025-10-10441Marlies-Wolves-
61 - 2025-10-11448Firebirds-Marlies-
64 - 2025-10-14475Bears-Marlies-
66 - 2025-10-16491Marlies-Wolf Pack-
68 - 2025-10-18503Canucks-Marlies-
70 - 2025-10-20521Marlies-Americans-
72 - 2025-10-22533Marlies-Crunch-
73 - 2025-10-23544Rocket-Marlies-
76 - 2025-10-26566Roadrunners-Marlies-
80 - 2025-10-30591Marlies-StarsF-
81 - 2025-10-31603Silver Knights-Marlies-
84 - 2025-11-03624Icehogs-Marlies-
86 - 2025-11-05639Marlies-Checkers-
88 - 2025-11-07657Eagles-Marlies-
90 - 2025-11-09673Marlies-Phantoms-
91 - 2025-11-10682Marlies-Thunderbirds-
94 - 2025-11-13698Americans-Marlies-
96 - 2025-11-15719Marlies-Iowa Wild-
98 - 2025-11-17728Checkers-Marlies-
100 - 2025-11-19748Marlies-Rocket-
102 - 2025-11-21760Marlies-BruinsF-
103 - 2025-11-22768Gulls-Marlies-
106 - 2025-11-25791Firebirds-Marlies-
108 - 2025-11-27810Marlies-Moose-
110 - 2025-11-29817Marlies-Rocket-
112 - 2025-12-01830Wolf Pack-Marlies-
115 - 2025-12-04853Americans-Marlies-
118 - 2025-12-07880Marlies-PenguinsF-
119 - 2025-12-08888Crunch-Marlies-
122 - 2025-12-11910Comets-Marlies-
124 - 2025-12-13923Marlies-PenguinsF-
128 - 2025-12-17948PenguinsF-Marlies-
130 - 2025-12-19964Marlies-Phantoms-
132 - 2025-12-21977Marlies-SenatorsF-
133 - 2025-12-22987Wolves-Marlies-
136 - 2025-12-251008Marlies-Moose-
137 - 2025-12-261017Wolves-Marlies-
140 - 2025-12-291041Marlies-Comets-
142 - 2025-12-311049Comets-Marlies-
144 - 2026-01-021060Marlies-Canucks-
147 - 2026-01-051075Marlies-Wranglers-
148 - 2026-01-061086Griffins-Marlies-
151 - 2026-01-091103Marlies-Checkers-
152 - 2026-01-101110Marlies-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-01-121124PenguinsF-Marlies-
156 - 2026-01-141138Marlies-Reign-
158 - 2026-01-161152Moose-Marlies-
161 - 2026-01-191177Moose-Marlies-
164 - 2026-01-221198Marlies-Firebirds-
166 - 2026-01-241213Wolf Pack-Marlies-
170 - 2026-01-281240Bears-Marlies-
171 - 2026-01-291245Marlies-SenatorsF-
176 - 2026-02-031272BruinsF-Marlies-
182 - 2026-02-091301BruinsF-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance5,6592,927
Assistance PCT94.32%97.57%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2862 - 95.40% 106,125$318,376$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
278,112$ 3,270,000$ 3,270,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 270,000$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,032,763$ 170 18,216$ 3,096,720$




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
1Joseph Cramarossa16275801554414626616151414.59%26290917.9616244090011214453.19%01.0728
2Karson Kuhlman1636487151109016217150812.60%30291117.861722399100019555.42%11.0418
3Jackson Cates1003659953782217826313.69%20189918.99915244700025254.45%01.0000
4William Lagesson14722719327614911116813.10%186298220.29112031740002220%00.6200
5Givani Smith13441408139522512733012.42%32204215.2448123600046144.35%10.7900

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
1Sami Aittokallio126504740.8773.4758016633527280120.7147
2Michael Houser84321960.9062.8139094218319550320.80631
3Maksim Zhukov134620.8663.52562203324700000

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
Saison régulière
1582393202243288266224120140221215213121411918000311361351952885158033311385848246582184977643235573360313252416125.31%2476175.30%21467274253.50%1344268750.02%739143551.50%1968135719186041080541
1682303805423267283-16411916012121371231441112204211130160-30812674717381510087739241474182582638242068067614342455622.86%2935282.25%21346274049.12%1361274749.54%673135649.63%1934131319466151076533
1764200000191273210000096332100000106481937560012520167684653015974439911436.36%18477.78%08618745.99%9820448.04%458155.56%13795149447335
Total Saison régulière17073720766657456113854131034242982603885324104242276301-25184574102315974822517715917504616301720165581493414871322285849712124.35%55811779.03%42899566951.14%2803563849.72%1457287250.73%404027664014126422301111
Séries éliminatoires
15624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837
Total Séries éliminatoires624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837

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
1Sebastian Wannstrom644850481625.00%19215.38011200000075.00%01.7300
2Jordan Weal613430171010.00%39816.43000000000047.54%00.8100
3Givani Smith6134-213157175.88%310918.20112100000044.44%00.7300
4Karson Kuhlman5123-2054128.33%07615.21011300000042.86%00.7900
5Jackson Cates5123-22110119.09%39018.06101200011055.47%00.6600

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
1Sami Aittokallio62300.8972.98302001514601000
2Michael Houser20100.8714.21570043100000