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Marlies
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 4 | GA: 2 | PP%: 0.00% | PK%: 75.00%
DG: Alain Ricard | Morale : 51 | Moyenne d’équipe : 64
Prochains matchs #32 vs Rocket

Centre de jeu
Bears
0-2-0, 0pts
2
FINAL
4 Marlies
1-0-0, 2pts
Team Stats
L2SéquenceW1
0-1-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-2-0Derniers 10 matchs1-0-0
3.00Buts par match 4.00
4.50Buts contre par match 2.00
16.67%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique75.00%
Rocket
1-1-0, 2pts
2025-08-16
Marlies
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
0-1-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-0
1-1-010 derniers matchs1-0-0
2.50Buts par match 4.00
5.50Buts contre par match 4.00
0.00%Pourcentage en avantage numérique0.00%
75.00%Pourcentage en désavantage numérique75.00%
Marlies
1-0-0, 2pts
2025-08-18
Condors
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-0-0Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs1-0-0
4.00Buts par match 6.00
2.00Buts contre par match 6.00
0.00%Pourcentage en avantage numérique0.00%
75.00%Pourcentage en désavantage numérique80.00%
Marlies
1-0-0, 2pts
2025-08-20
Americans
0-2-0, 0pts
Statistiques d’équipe
W1SéquenceL2
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-2-0
1-0-010 derniers matchs0-2-0
4.00Buts par match 1.50
2.00Buts contre par match 1.50
0.00%Pourcentage en avantage numérique14.29%
75.00%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Buts
Givani Smith
2
Passes
Jackson Cates
2
Points
Jackson Cates
2
Plus/Moins
Peyton Krebs
2
Victoires
Michael Houser
1
Pourcentage d’arrêts
Michael Houser
0.943

Statistiques d’équipe
Buts pour
4
4.00 GFG
Tirs pour
33
33.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
35.5%
Buts contre
2
2.00 GAA
Tirs contre
35
35.00 Avg
Pourcentage en désavantage numérique
75.0%%
1 GA
Début de la zone défensive
50.5%
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
Assistance2,934
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs23


Historique d'équipe

Saison actuelle1-0-0 (2PTS)
Historique83-70-13 (0.500%)
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)XX100.006445918167728873617272727065457051670233900,000$
2Nicholas Robertson (R)XX100.006845908066728775617074727260457051670233900,000$
3Givani SmithXX100.0079556578767479786674707661575162516702711,800,000$
4Peyton KrebsX100.006949827869769273747467685968466651660242900,000$
5Jan JenikXX100.007856707370777774627171746851476651650242750,000$
6Pontus AbergXX100.0057449772727481715870696967705338516503121,500,000$
7Jackson CatesX100.0058459874726974708265697064584860516402711,000,000$
8Laurent DauphinXX100.0074468773707374716667687366584642516403031,800,000$
9Kyle ToppingX100.007449757369727067726766666047456651630252750,000$
10Adam HelewkaXX100.007245757271667667616667746061505251630301800,000$
11Greg MckeggXXX100.005842956971696767626462716063494651620331800,000$
12Dan O'ReganX100.006045957069677168726663706160494951620311850,000$
13Luke HughesX100.006445897170889071457871696358617651670212900,000$
14Vladislav GavrikovX100.0065509072737990704573677360715354516702922,000,000$
15William LagessonX100.0064468568717673754573757260635250516602921,700,000$
16Emil LillebergX100.0077458573727875724572647561474666516602432,000,000$
17David FarranceX100.006545867369777474457164745847466651650262750,000$
18Thomas LarkinX100.0070668569767271724568707263504738516503411,250,000$
Rayé
1Evan BarrattX100.006949827268727065746865656047455649620262750,000$
2Marcus KallionkeliXX100.007149767372696965596363655846456749600242750,000$
3Philippe CornetX100.0059459970716767656561636461484534496003511,000,000$
4Maxime FortierXX100.005757897567646363686059666148476049590272700,000$
5Alan LyszczarczykXXX100.006447877269656460695757616146455449580271500,000$
6Dmitri YudinX100.0065458672697569714569607454595250496403011,200,000$
7Nikita CherepanovX100.0062458772737470684562706960595050496302911,200,000$
8Danila GalenyukX100.006449797372696967456665696045456649620252750,000$
9David KvasnickaX100.006445887267696968456560705445455949620262750,000$
10Will WeberX100.006044867074666466456161675946453049600361950,000$
MOYENNE D’ÉQUIPE100.00664886737172747058686670615548565064
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 Houser99.007775747676838685868679495647526603211,950,000$
2Sami Aittokallio100.007780797777737978777680495447526203331,000,000$
Rayé
1Maksim Zhukov100.00787766807875757777767348496450610261600,000$
MOYENNE D’ÉQUIPE99.6777777378777780808079774953535163
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
1Jackson CatesMarlies (Tor)C1022100032020%01818.1700020000020044.83%2900002.2000000000
2Peyton KrebsMarlies (Tor)C11122201030033.33%01717.4200001000001056.52%2300002.3000000001
3Lukas ReichelMarlies (Tor)LW/RW1022120105030%01616.400001100000000%000002.4400000000
4Nicholas RobertsonMarlies (Tor)LW/RW11122001030533.33%01717.6800001000000050.00%200002.2600000010
5Givani SmithMarlies (Tor)LW/RW12021204250140.00%01818.150000000002000%000002.2000000100
6William LagessonMarlies (Tor)D1011220112010%11717.150000000000000%000001.1700000000
7Emil LillebergMarlies (Tor)D1011200140030%02121.470000100003000%000000.9300000000
8David FarranceMarlies (Tor)D1000100010320%12020.530000100003000%00000000000000
9Jan JenikMarlies (Tor)LW/RW1000000212040%01616.350000000002000%00000000000000
10Kyle ToppingMarlies (Tor)C1000000030010%01515.4800000000020033.33%180000000000000
11Luke HughesMarlies (Tor)D1000020311000%22020.820000000000000%00000000000000
12Greg MckeggMarlies (Tor)C/LW/RW1000000032000%077.3700000000000030.77%130000000000000
13Laurent DauphinMarlies (Tor)LW/RW1000000031000%01313.47000000000000100.00%20000000000000
14Thomas LarkinMarlies (Tor)D1000100003100%31717.700000000001000%00000000000000
15Vladislav GavrikovMarlies (Tor)D1000000212100%22222.300000000001000%00000000000000
16Dan O'ReganMarlies (Tor)C1000000010000%088.230000000000000%20000000000000
17Pontus AbergMarlies (Tor)LW/RW1000200002010%01616.3500010000000033.33%30000000000000
18Adam HelewkaMarlies (Tor)LW/RW1000000000100%077.37000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne1848121510016243362312.12%929216.24000470000221044.09%9300000.8200000111
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)11000.9432.0060002350000010000
Statistiques d’équipe totales ou en moyenne11000.9432.006000235000010000


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 JenikMarlies (Tor)LW/RW242000-09-15CZENo185 Lbs6 ft1NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------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)D212003-09-09USANo184 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)G321992-09-13USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,950,000$0$0$No---------------------------Lien
Nicholas RobertsonMarlies (Tor)LW/RW232001-09-11USAYes178 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
3127.97195 Lbs6 ft11.741,079,032$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonPeyton KrebsPontus Aberg34023
2Lukas ReichelJackson CatesGivani Smith31023
3Jan JenikKyle ToppingLaurent Dauphin27032
4Adam HelewkaGreg 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 ToppingJan Jenik50050
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, Jan Jenik, Laurent DauphinDan O'Regan, Jan JenikLaurent 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
1Bears11000000422110000004220000000000021.000481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125
Total11000000422110000004220000000000021.000481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125
_Since Last GM Reset11000000422110000004220000000000021.000481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125
_Vs Conference11000000422110000004220000000000021.000481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125
_Vs Division10000000422100000004220000000000000.000481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W1481233359101600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000042
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000042
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
100.00%4175.00%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
159903100
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
143342.42%224746.81%51338.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2215258125


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 - 2025-08-1632Rocket-Marlies-
7 - 2025-08-1847Marlies-Condors-
9 - 2025-08-2059Marlies-Americans-
11 - 2025-08-2276Crunch-Marlies-
13 - 2025-08-2491Marlies-Comets-
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
Assistance1,952982
Assistance PCT97.60%98.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2934 - 97.80% 109,202$109,202$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
74,488$ 3,345,000$ 3,345,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 72,324$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,368,080$ 181 18,622$ 3,370,582$




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
3William Lagesson142227092-17214711016413.41%179288420.31112031710002220%00.6400
4Jackson Cates953457913482117025413.39%17180719.03815234500025154.28%01.0100
5Givani Smith12940377709320912331912.54%31194915.1147113300026143.48%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 Houser79291760.9062.8836104217318310320.80631
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
171100000042211000000422000000000002481200310033159903591016100.00%4175.00%0143342.42%224746.81%51338.46%2215258125
Total Saison régulière1657070076665595518834030034242932563782304004242266295-2917855999415534821617315717491215771683161181481014221289277548711724.02%54411479.04%42827551551.26%2727548149.75%1417280450.53%392426863890122821691081
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