Please rotate your device to landscape mode for a better experience.
Connexion

Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Patrick Pellegrino | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #4 vs Rocket

Rocket
0-0-0, 0pts
2025-04-19
Marlies
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Marlies
0-0-0, 0pts
2025-04-22
Cougars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cougars
0-0-0, 0pts
2025-04-24
Marlies
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPatrick Pellegrino
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance
Billets de saison600


Informations de la formation

Équipe Pro18
Équipe Mineure21
Limite contact 39 / 50
Espoirs12


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique55-21-6 (0.671%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)6 - 5 (0.545%)
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
1David Gustafsson (R)XXX100.00634383748378766876646369687363050680243975,000$
2Cole Schwindt (R)X100.00704182717773726670656066665953050650233975,000$
3Jakob Pelletier (R)X100.00674081766876696846666365695750050650231863,333$
4Samuel Helenius (R)X100.00796172698270666561606065655250050640211828,333$
5Fabian Lysell (R)X100.00614366716162606444645762645050050610211894,167$
6Ozzy Wiesblatt (R)X100.00615358696264626143615661625150050600221835,833$
7Jan Jeník (R)X100.00574861665964636343615757625250050590241650,000$
8Ryan Suzuki (R)X100.00554271646365636463645651615250050590232620,000$
9Brett Harrison (R)X100.00634172656463616042565359595050050580212836,667$
10Luke Tuch (R)X100.00624262616462615841555559585150050570222912,500$
11Karl Henriksson (R)X100.00544172675859585741525255605150050560231870,000$
12Albin Eriksson (R)X100.00415092577739542850232541325050050420242620,000$
13Victor Mancini (R)X100.00614073678075626540636264655150050640223870,000$
14Victor SoderstromX100.00554566716865606339595465635451050610231900,000$
15Shai Buium (R)X100.00634167626562616140615564595050050600213925,000$
16Mason Millman (R)X100.00614169686161595740535364595150050590231700,000$
Rayé
MOYENNE D’ÉQUIPE100.0061457267686563614958556061535105060
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
1Jet Greaves (R)100.00806971727477807879756856520506902321,100,000$
2Hugo Ollas (R)100.0053545355535354525252525551050500222855,000$
Rayé
MOYENNE D’ÉQUIPE100.006762626464656765666460565205060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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
Albin ErikssonMarlies (Tor)LW242000-07-20SWEYes205 Lbs6 ft4NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Brett HarrisonMarlies (Tor)C212003-06-07CANYes187 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm836,667$0$0$No836,667$--------836,667$--------No--------Lien
Cole SchwindtMarlies (Tor)RW232001-04-25CANYes203 Lbs6 ft2NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
David GustafssonMarlies (Tor)C/LW/RW242000-04-11SWEYes196 Lbs6 ft2NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Fabian LysellMarlies (Tor)RW212003-01-19SWEYes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
Hugo OllasMarlies (Tor)G222002-04-24SWEYes238 Lbs6 ft7NoNoProspectNoNo22024-06-25FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------Lien
Jakob PelletierMarlies (Tor)LW232001-03-07CANYes170 Lbs5 ft9NoNoTrade2025-02-28NoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Jan Jeník (contrat à 1 volet)Marlies (Tor)C242000-09-15CZEYes161 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Jet Greaves (contrat à 1 volet)Marlies (Tor)G232001-03-30CANYes190 Lbs6 ft0NoNoFree Agent2024-01-24NoNo22024-09-23FalseFalsePro & Farm1,100,000$180,000$180,000$No1,100,000$--------1,100,000$--------No--------Lien
Karl HenrikssonMarlies (Tor)C232001-02-05SWEYes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Luke TuchMarlies (Tor)LW222002-03-07USAYes203 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm912,500$0$0$No912,500$--------912,500$--------No--------Lien
Mason MillmanMarlies (Tor)D232001-07-18CANYes174 Lbs6 ft1NoNoTrade2025-03-06NoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Ozzy WiesblattMarlies (Tor)RW222002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm835,833$0$0$No---------------------------Lien
Ryan Suzuki (contrat à 1 volet)Marlies (Tor)C232001-05-28CANYes190 Lbs6 ft1NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Samuel HeleniusMarlies (Tor)C212002-11-26USAYes201 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Lien
Shai BuiumMarlies (Tor)D212003-03-26USAYes209 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Victor ManciniMarlies (Tor)D222002-05-26USAYes229 Lbs6 ft3NoNoDraftNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Victor Soderstrom (contrat à 1 volet)Marlies (Tor)D232001-02-26SWENo186 Lbs5 ft11NoNoTrade2025-01-18NoNo12024-09-04FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1822.50193 Lbs6 ft11.78846,157$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Fabian Lysell30122
3Jakob Pelletier20122
4Jakob Pelletier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Victor Soderstrom30122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Fabian Lysell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Victor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Soderstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Karl Henriksson, Samuel Helenius, Brett HarrisonKarl Henriksson, Samuel HeleniusBrett Harrison
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Victor Soderstrom, Victor Soderstrom,
Tirs de pénalité
, , , ,
Gardien
#1 : Jet Greaves, #2 : Hugo Ollas


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-04-194Rocket-Marlies-
5 - 2025-04-2225Marlies-Cougars-
7 - 2025-04-2443Cougars-Marlies-
8 - 2025-04-2549Jayhawks-Marlies-
10 - 2025-04-2761Wolf Pack-Marlies-
12 - 2025-04-2979Firebirds-Marlies-
15 - 2025-05-0298Spiders-Marlies-
18 - 2025-05-05123Marlies-Crunch-
19 - 2025-05-06132Crunch-Marlies-
22 - 2025-05-09151Heat-Marlies-
23 - 2025-05-10166Marlies-Monsters-
26 - 2025-05-13188Marlies-Phantoms-
28 - 2025-05-15199Manchots-Marlies-
30 - 2025-05-17213Roadrunners-Marlies-
33 - 2025-05-20234Bruins-Marlies-
34 - 2025-05-21246Caroline-Marlies-
36 - 2025-05-23256Marlies-Bruins-
38 - 2025-05-25269Monarchs-Marlies-
40 - 2025-05-27291Marlies-Baby Hawks-
43 - 2025-05-30307Chiefs-Marlies-
45 - 2025-06-01319Monsters-Marlies-
47 - 2025-06-03337Marlies-Rocket-
51 - 2025-06-07369Marlies-Monsters-
53 - 2025-06-09386Marlies-Bears-
54 - 2025-06-10396Marlies-Manchots-
57 - 2025-06-13413Marlies-Cabaret Lady Mary Ann-
59 - 2025-06-15431Marlies-Caroline-
61 - 2025-06-17444Rocket-Marlies-
63 - 2025-06-19461Thunder-Marlies-
66 - 2025-06-22480Sags-Marlies-
68 - 2025-06-24499Oil Kings-Marlies-
71 - 2025-06-27520Baby Hawks-Marlies-
73 - 2025-06-29539Marlies-Bears-
75 - 2025-07-01558Marlies-Jayhawks-
76 - 2025-07-02568Marlies-Stars-
78 - 2025-07-04575Manchots-Marlies-
82 - 2025-07-08590Senators-Marlies-
83 - 2025-07-09601Marlies-Cougars-
85 - 2025-07-11617Spiders-Marlies-
87 - 2025-07-13634Oceanics-Marlies-
89 - 2025-07-15651Marlies-Sound Tigers-
92 - 2025-07-18672Cabaret Lady Mary Ann-Marlies-
94 - 2025-07-20686Marlies-Phantoms-
96 - 2025-07-22702Comets-Marlies-
98 - 2025-07-24723Marlies-Monsters-
99 - 2025-07-25733Marlies-Roadrunners-
101 - 2025-07-27748Marlies-Las Vegas-
103 - 2025-07-29762Marlies-Oceanics-
105 - 2025-07-31774Minnesota-Marlies-
107 - 2025-08-02788Cougars-Marlies-
109 - 2025-08-04802Las Vegas-Marlies-
111 - 2025-08-06819Monsters-Marlies-
113 - 2025-08-08831Crunch-Marlies-
115 - 2025-08-10857Marlies-Firebirds-
117 - 2025-08-12869Marlies-Comets-
119 - 2025-08-14885Marlies-Heat-
120 - 2025-08-15891Marlies-Oil Kings-
142 - 2025-09-06912Marlies-Thunder-
143 - 2025-09-07921Marlies-Cabaret Lady Mary Ann-
145 - 2025-09-09939Senators-Marlies-
147 - 2025-09-11954Phantoms-Marlies-
149 - 2025-09-13971Marlies-Spiders-
150 - 2025-09-14975Marlies-Wolf Pack-
152 - 2025-09-16994Thunder-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2025-09-191014Marlies-Rocket-
157 - 2025-09-211029Admirals-Marlies-
159 - 2025-09-231047Marlies-Crunch-
160 - 2025-09-241060Marlies-Minnesota-
162 - 2025-09-261068Sound Tigers-Marlies-
165 - 2025-09-291094Caroline-Marlies-
166 - 2025-09-301106Marlies-Senators-
169 - 2025-10-031120Marlies-Bruins-
170 - 2025-10-041136Wolf Pack-Marlies-
173 - 2025-10-071160Marlies-Chiefs-
175 - 2025-10-091176Marlies-Admirals-
178 - 2025-10-121202Marlies-Sags-
180 - 2025-10-141217Marlies-Monarchs-
184 - 2025-10-181245Bears-Marlies-
185 - 2025-10-191252Marlies-Sound Tigers-
187 - 2025-10-211270Cabaret Lady Mary Ann-Marlies-
189 - 2025-10-231285Stars-Marlies-
191 - 2025-10-251304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets5020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 0 - 0%0$0$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,196,083$ 1,196,083$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,197$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 193 6,197$ 1,196,021$




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
1Will Cuylle8073961694221812711544516.40%39179622.461923425101158849.15%61.8824
2David Gustafsson5545601052722709920222.28%30124722.68923322110145262.07%51.6802
3Cole Schwindt8241529333821118521718.89%24153418.721421355002235261.47%11.2116
4Fabian Lysell8238468419431379720218.81%39143717.531312252301119144.32%01.1711
5Tyler Madden822853812537869918615.05%20131116.00514191620254052.41%01.2424

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
1Jet Greaves82551960.8743.5347880028222391132810.60025
2Hugo Ollas60200.7478.52169002495440100

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
20248249210333341031199412390332120015149412612000122101605011641068010902090159155132714761930997522336761118615092469036.59%2467469.92%7904169753.27%888164953.85%785140855.75%171793316527571591807
Total Saison régulière8249210333341031199412390332120015149412612000122101605011641068010902090159155132714761930997522336761118615092469036.59%2467469.92%7904169753.27%888164953.85%785140855.75%171793316527571591807
Séries éliminatoires
2024116500000454506330000021192532000002426-21245761210112121923521091001321137014218624427622.22%311164.52%112924652.44%12523054.35%9818353.55%232124230108222109
Total Séries éliminatoires116500000454506330000021192532000002426-21245761210112121923521091001321137014218624427622.22%311164.52%112924652.44%12523054.35%9818353.55%232124230108222109

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
1Arthur Kaliyev1151015401720657.69%825122.84011100011040.54%01.1900
2Jakub Vrana115914-2214224411.36%822320.33145501110250.00%01.2500
3David Gustafsson1177146515204017.50%523221.09101200002059.22%01.2100
4Cole Schwindt11481202023142218.18%221119.27123300000057.89%01.1300
5Will Cuylle11551003820123613.89%916915.45000000001155.56%01.1800

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
1Jet Greaves115310.8893.5662401373331822000
2Hugo Ollas21100.7847.876100837230000