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Connexion

Marlies
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 12 | GA: 10 | PP%: 12.50% | PK%: 76.47%
DG: Alain Ricard | Morale : 51 | Moyenne d’équipe : 64
Prochains matchs #91 vs Comets

Centre de jeu
Marlies
3-2-0, 6pts
0
FINAL
2 Americans
2-3-1, 5pts
Team Stats
W1SéquenceOTL1
2-1-0Fiche domicile2-0-1
1-1-0Fiche domicile0-3-0
3-2-0Derniers 10 matchs2-3-1
2.40Buts par match 2.00
2.00Buts contre par match 3.00
12.50%Pourcentage en avantage numérique16.67%
76.47%Pourcentage en désavantage numérique68.42%
Crunch
3-2-0, 6pts
2
FINAL
4 Marlies
3-2-0, 6pts
Team Stats
L2SéquenceW1
1-1-0Fiche domicile2-1-0
2-1-0Fiche domicile1-1-0
3-2-0Derniers 10 matchs3-2-0
2.80Buts par match 2.40
2.80Buts contre par match 2.00
20.00%Pourcentage en avantage numérique12.50%
100.00%Pourcentage en désavantage numérique76.47%
Marlies
3-2-0, 6pts
2025-08-24
Comets
2-4-0, 4pts
Statistiques d’équipe
W1SéquenceL1
2-1-0Fiche domicile0-2-0
1-1-0Fiche visiteur2-2-0
3-2-010 derniers matchs2-4-0
2.40Buts par match 2.83
2.00Buts contre par match 2.83
12.50%Pourcentage en avantage numérique30.77%
76.47%Pourcentage en désavantage numérique93.33%
Checkers
2-4-0, 4pts
2025-08-27
Marlies
3-2-0, 6pts
Statistiques d’équipe
L2SéquenceW1
2-1-0Fiche domicile2-1-0
0-3-0Fiche visiteur1-1-0
2-4-010 derniers matchs3-2-0
2.83Buts par match 2.40
3.33Buts contre par match 2.40
16.67%Pourcentage en avantage numérique12.50%
83.33%Pourcentage en désavantage numérique76.47%
Marlies
3-2-0, 6pts
2025-08-29
Crunch
3-2-0, 6pts
Statistiques d’équipe
W1SéquenceL2
2-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur2-1-0
3-2-010 derniers matchs3-2-0
2.40Buts par match 2.80
2.00Buts contre par match 2.80
12.50%Pourcentage en avantage numérique20.00%
76.47%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Nicholas Robertson
3
Passes
Jackson Cates
4
Points
Jackson Cates
4
Plus/Moins
William Lagesson
4
Victoires
Michael Houser
3
Pourcentage d’arrêts
Michael Houser
0.926

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
135
27.00 Avg
Pourcentage en avantage numérique
12.5%
1 GF
Début de zone offensive
39.6%
Buts contre
10
2.00 GAA
Tirs contre
136
27.20 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
44.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,862
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs23


Historique d'équipe

Saison actuelle3-2-0 (6PTS)
Historique85-72-13 (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)XX100.006445918167728873617272727065457052670233900,000$
2Nicholas Robertson (R)XX100.006845908066728775617074727260457052670243900,000$
3Givani SmithXX100.0079556578767479786674707661575162526702711,800,000$
4Peyton KrebsX100.006949827869769273747467685968466652660242900,000$
5Jan JenikXX100.007856707370777774627171746851476652650242750,000$
6Pontus AbergXX100.0057449772727481715870696967705338526503121,500,000$
7Jackson CatesX100.0058459874726974708265697064584860526402711,000,000$
8Laurent DauphinXX100.0074468773707374716667687366584642526403031,800,000$
9Kyle ToppingX100.007449757369727067726766666047456652630252750,000$
10Adam HelewkaXX100.007245757271667667616667746061505252630301800,000$
11Greg MckeggXXX100.005842956971696767626462716063494652620331800,000$
12Dan O'ReganX100.006045957069677168726663706160494952620311850,000$
13Luke HughesX100.006445897170889071457871696358617652670222900,000$
14Vladislav GavrikovX100.0065509072737990704573677360715354526702922,000,000$
15William LagessonX100.0064468568717673754573757260635250526602921,700,000$
16Emil LillebergX100.0077458573727875724572647561474666526602432,000,000$
17David FarranceX100.006545867369777474457164745847466652650262750,000$
18Thomas LarkinX100.0070668569767271724568707263504738536503411,250,000$
Rayé
1Evan BarrattX100.006949827268727065746865656047455645620262750,000$
2Marcus KallionkeliXX100.007149767372696965596363655846456745600242750,000$
3Philippe CornetX100.0059459970716767656561636461484534456003511,000,000$
4Maxime FortierXX100.005757897567646363686059666148476045590272700,000$
5Alan LyszczarczykXXX100.006447877269656460695757616146455445580271500,000$
6Dmitri YudinX100.0065458672697569714569607454595250456403011,200,000$
7Nikita CherepanovX100.0062458772737470684562706960595050456302911,200,000$
8Danila GalenyukX100.006449797372696967456665696045456645620252750,000$
9David KvasnickaX100.006445887267696968456560705445455945620262750,000$
10Will WeberX100.006044867074666466456161675946453045600361950,000$
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 Houser99.007775747676838685868679495647546603311,950,000$
2Sami Aittokallio100.007780797777737978777680495447546203331,000,000$
Rayé
1Maksim Zhukov100.00787766807875757777767348496448610261600,000$
MOYENNE D’ÉQUIPE99.6777777378777780808079774953535263
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)C50443001107330%29218.51000370000130054.55%12100000.8600000010
2Lukas ReichelMarlies (Tor)LW/RW51343401415186.67%17915.9901127000000150.00%600001.0000000001
3Nicholas RobertsonMarlies (Tor)LW/RW53143204415101820.00%08717.4710147000000075.00%400000.9200000011
4Givani SmithMarlies (Tor)LW/RW53143401761341323.08%19218.56000370002120042.86%700000.8600000200
5Peyton KrebsMarlies (Tor)C512332053103910.00%08717.5800017000001053.47%10100000.6800000001
6Emil LillebergMarlies (Tor)D5033440781080%910420.8601107000012000%000000.5800000000
7Jan JenikMarlies (Tor)LW/RW511202047122138.33%07815.74000000000130066.67%300000.5100000010
8Kyle ToppingMarlies (Tor)C5022000673260%07815.64000000001130031.91%9400000.5100000000
9Luke HughesMarlies (Tor)D511236012361316.67%910220.590002600002000%000000.3900000100
10Pontus AbergMarlies (Tor)LW/RW50223000117660%08617.2400027000000042.86%700000.4600000000
11William LagessonMarlies (Tor)D5011440326050%79619.220003600005000%000000.2100000000
12David FarranceMarlies (Tor)D5011-200465550%810120.3800027000013000%000000.2000000000
13Laurent DauphinMarlies (Tor)LW/RW51010001581212.50%26813.7400000000031057.14%700000.2900000000
14Vladislav GavrikovMarlies (Tor)D5011320725440%1010521.0000000000012000%000000.1900000000
15Dan O'ReganMarlies (Tor)C5011-100011220%0397.980000000000000%300000.5000000000
16Adam HelewkaMarlies (Tor)LW/RW5101-1004332333.33%2387.76000000000010100.00%200000.5200000000
17Greg MckeggMarlies (Tor)C/LW/RW5000-100043140%1387.7600000000000039.02%410000000000000
18Thomas LarkinMarlies (Tor)D5000-2115835400%158917.8300000000010000%00000000001000
Statistiques d’équipe totales ou en moyenne90122436254158479135511128.89%67146916.32123227200031143146.97%39600000.4900001333
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)53200.9262.0129900101360000050001
Statistiques d’équipe totales ou en moyenne53200.9262.012990010136000050001


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)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
3128.06195 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, #3 : 0


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
1Americans1010000002-2000000000001010000002-200.0000000093001853384401710615200.00%30100.00%07115745.22%8117646.02%346353.97%11479124376029
2Bears11000000422110000004220000000000021.00048120093003353384403591016100.00%4175.00%07115745.22%8117646.02%346353.97%11479124376029
3Condors11000000321000000000001100000032121.00036900930026533844041211323100.00%40100.00%07115745.22%8117646.02%346353.97%11479124376029
4Crunch11000000422110000004220000000000021.00048120093003053384402012415100.00%2150.00%07115745.22%8117646.02%346353.97%11479124376029
5Rocket1010000012-11010000012-10000000000000.00012300930028533844023158153133.33%4250.00%07115745.22%8117646.02%346353.97%11479124376029
Total5320000012102321000009632110000034-160.60012243600930013553384401366741848112.50%17476.47%07115745.22%8117646.02%346353.97%11479124376029
_Since Last GM Reset5320000012102321000009632110000034-160.60012243600930013553384401366741848112.50%17476.47%07115745.22%8117646.02%346353.97%11479124376029
_Vs Conference42200000981321000009631010000002-240.500918270093001095338440954628617114.29%13469.23%07115745.22%8117646.02%346353.97%11479124376029
_Vs Division10200000422101000004220010000000000.00048120093003353384403591016100.00%4175.00%07115745.22%8117646.02%346353.97%11479124376029

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
56W112243613513667418400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53200001210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000096
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000034
Derniers 10 matchs
WLOTWOTL SOWSOL
320000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8112.50%17476.47%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
53384409300
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
7115745.22%8117646.02%346353.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11479124376029


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 - 2025-08-2491Marlies-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
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
223,464$ 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$ 216,972$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,032,763$ 173 18,622$ 3,221,606$




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 Cates993459933682217725913.13%19188119.01815234600025154.40%00.9900
4William Lagesson14622709217414911116813.10%185296320.30112031740002220%00.6200
5Givani Smith13341387929522212732712.54%32202315.2247113600046143.44%10.7800

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 Houser83311960.9062.8238494218119320320.80631
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
175320000012102321000009632110000034-1612243600930013553384401366741848112.50%17476.47%07115745.22%8117646.02%346353.97%11479124376029
Total Saison régulière1697272076665675598854131034242982603884314104242269299-30182567101015774822217515717501416151712164681491114801320284349411823.89%55711778.99%42884563951.14%2786561049.66%1446285450.67%401727503989125722171105
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