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Marlies
GP: 5 | W: 3 | L: 1 | OTL: 1 | P: 7
GF: 31 | GA: 26 | PP%: 22.22% | PK%: 66.67%
DG: Patrick Pellegrino | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #79 vs Firebirds

Centre de jeu
Jayhawks
3-2-0, 6pts
5
FINAL
4 Marlies
3-1-1, 7pts
Team Stats
W2SéquenceOTL1
1-1-0Fiche domicile2-1-1
2-1-0Fiche domicile1-0-0
3-2-0Derniers 10 matchs3-1-1
3.80Buts par match 6.20
5.00Buts contre par match 5.20
11.11%Pourcentage en avantage numérique22.22%
40.00%Pourcentage en désavantage numérique66.67%
Wolf Pack
4-2-0, 8pts
4
FINAL
3 Marlies
3-1-1, 7pts
Team Stats
W2SéquenceOTL1
1-2-0Fiche domicile2-1-1
3-0-0Fiche domicile1-0-0
4-2-0Derniers 10 matchs3-1-1
3.50Buts par match 6.20
3.17Buts contre par match 5.20
27.78%Pourcentage en avantage numérique22.22%
76.47%Pourcentage en désavantage numérique66.67%
Firebirds
3-0-1, 7pts
2025-10-18
Marlies
3-1-1, 7pts
Statistiques d’équipe
W1SéquenceOTL1
2-0-0Fiche domicile2-1-1
1-0-1Fiche visiteur1-0-0
3-0-110 derniers matchs3-1-1
7.25Buts par match 6.20
5.50Buts contre par match 6.20
55.56%Pourcentage en avantage numérique22.22%
61.54%Pourcentage en désavantage numérique66.67%
Spiders
2-1-1, 5pts
2025-10-21
Marlies
3-1-1, 7pts
Statistiques d’équipe
SOL1SéquenceOTL1
0-0-1Fiche domicile2-1-1
2-1-0Fiche visiteur1-0-0
2-1-110 derniers matchs3-1-1
5.75Buts par match 6.20
5.25Buts contre par match 6.20
18.75%Pourcentage en avantage numérique22.22%
75.00%Pourcentage en désavantage numérique66.67%
Marlies
3-1-1, 7pts
2025-10-24
Crunch
1-2-1, 3pts
Statistiques d’équipe
OTL1SéquenceOTL1
2-1-1Fiche domicile0-2-1
1-0-0Fiche visiteur1-0-0
3-1-110 derniers matchs1-2-1
6.20Buts par match 4.00
5.20Buts contre par match 4.00
22.22%Pourcentage en avantage numérique28.57%
66.67%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
31
6.20 GFG
Tirs pour
123
24.60 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
30.0%
Buts contre
26
5.20 GAA
Tirs contre
129
25.80 Avg
Pourcentage en désavantage numérique
66.7%%
4 GA
Début de la zone défensive
28.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité6,000
Assistance3,943
Billets de saison600


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 50
Espoirs12


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
1Cole Schwindt (R)X100.00704182717773726670656066665953050650233975,000$
2Jakob Pelletier (R)X100.00674081766876696846666365695750050650231863,333$
3Samuel Helenius (R)X100.00796172698270666561606065655250050640211828,333$
4Fabian Lysell (R)X100.00614366716162606444645762645050050610211894,167$
5Ozzy Wiesblatt (R)X100.00615358696264626143615661625150050600221835,833$
6Ryan Suzuki (R)X100.00554271646365636463645651615250050590232620,000$
7Brett Harrison (R)X100.00634172656463616042565359595050050580212836,667$
8Luke Tuch (R)X100.00624262616462615841555559585150050570222912,500$
9Karl Henriksson (R)X100.00544172675859585741525255605150050560231870,000$
10Victor Mancini (R)X100.00614073678075626540636264655150050640223870,000$
11Victor SoderstromX100.00554566716865606339595465635451050610231900,000$
12Leo Lööf (R)X100.0059456465636463594059516458515005060N0223885,000$
13Shai Buium (R)X100.00634167626562616140615564595050050600213925,000$
14Mason Millman (R)X100.00614169686161595740535364595150050590231700,000$
15Djibril Touré (R)X100.0063446062676058574054556358505005059N0213885,000$
16Isaac Belliveau (R)X100.0061416762626058574054546458505005059N0213775,000$
Rayé
1David Gustafsson (R)XXX100.00634383748378766876646369687363050680243975,000$
2Jan Jeník (R)X100.00574861665964636343615757625250050590241650,000$
3Albin Eriksson (R)X100.00415092577739542850232541325050050420242620,000$
4Artem Guryev (R)X100.0062465761695553553951526257505005057N0213775,000$
MOYENNE D’ÉQUIPE100.0061447066686462604757556160535105060
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 AgentNoYes22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Artem Guryev (contrat à 1 volet)Marlies (Tor)D212003-05-17RUSYes220 Lbs6 ft4YesNoFree AgentNoNo32025-09-21FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------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 AgentNoYes32025-08-28FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Djibril Touré (contrat à 1 volet)Marlies (Tor)D212003-06-05CANYes203 Lbs6 ft7YesNoFree AgentNoNo32025-09-21FalseFalsePro & Farm885,000$0$0$No885,000$885,000$-------885,000$885,000$-------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
Isaac Belliveau (contrat à 1 volet)Marlies (Tor)D212002-11-26CANYes185 Lbs6 ft2YesNoFree AgentNoNo32025-09-21FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------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 AgentNoYes12025-08-28FalseFalsePro & 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$169,741$No1,100,000$--------1,100,000$--------No--------Lien
Karl HenrikssonMarlies (Tor)C232001-02-05SWEYes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Leo Lööf (contrat à 1 volet)Marlies (Tor)D222002-04-25SWEYes176 Lbs6 ft2YesNoFree AgentNoNo32025-09-21FalseFalsePro & Farm885,000$0$0$No885,000$885,000$-------885,000$885,000$-------NoNo-------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
2222.27194 Lbs6 ft22.00843,220$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Cougars2100001015132110000008711000001076141.0001524390061212560344343963171425600.00%7357.14%0367548.00%327045.71%4510542.86%1208099478538
2Jayhawks1010000045-11010000045-10000000000000.0004610006121251934434392232132150.00%10100.00%0367548.00%327045.71%4510542.86%1208099478538
3Rocket11000000945110000009450000000000021.0009182700612125213443439135456233.33%20100.00%1367548.00%327045.71%4510542.86%1208099478538
4Wolf Pack1000010034-11000010034-10000000000010.50035800612125233443439319474125.00%2150.00%0367548.00%327045.71%4510542.86%1208099478538
Total521001103126542100100242041000001076170.70031538400612125123344343912934245018422.22%12466.67%1367548.00%327045.71%4510542.86%1208099478538
_Since Last GM Reset521001103126542100100242041000001076170.70031538400612125123344343912934245018422.22%12466.67%1367548.00%327045.71%4510542.86%1208099478538
_Vs Conference1000010034-11000010034-10000000000010.50035800612125233443439319474125.00%2150.00%0367548.00%327045.71%4510542.86%1208099478538
_Vs Division300000002417720000000171161000000076100.000244266006121258134434397622183012216.67%9366.67%1367548.00%327045.71%4510542.86%1208099478538

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
57OTL131538412312934245000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52101103126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42101002420
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100001076
Derniers 10 matchs
WLOTWOTL SOWSOL
310100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%12466.67%1
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
3443439612125
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
367548.00%327045.71%4510542.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1208099478538


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-10-084Rocket4Marlies9WSommaire du match
5 - 2025-10-1125Marlies7Cougars6WXXSommaire du match
7 - 2025-10-1343Cougars7Marlies8WSommaire du match
8 - 2025-10-1449Jayhawks5Marlies4LSommaire du match
10 - 2025-10-1661Wolf Pack4Marlies3LXSommaire du match
12 - 2025-10-1879Firebirds-Marlies-
15 - 2025-10-2198Spiders-Marlies-
18 - 2025-10-24123Marlies-Crunch-
19 - 2025-10-25132Crunch-Marlies-
22 - 2025-10-28151Heat-Marlies-
23 - 2025-10-29166Marlies-Monsters-
26 - 2025-11-01188Marlies-Phantoms-
28 - 2025-11-03199Manchots-Marlies-
30 - 2025-11-05213Roadrunners-Marlies-
33 - 2025-11-08234Bruins-Marlies-
34 - 2025-11-09246Caroline-Marlies-
36 - 2025-11-11256Marlies-Bruins-
38 - 2025-11-13269Monarchs-Marlies-
40 - 2025-11-15291Marlies-Baby Hawks-
43 - 2025-11-18307Chiefs-Marlies-
45 - 2025-11-20319Monsters-Marlies-
47 - 2025-11-22337Marlies-Rocket-
51 - 2025-11-26369Marlies-Monsters-
53 - 2025-11-28386Marlies-Bears-
54 - 2025-11-29396Marlies-Manchots-
57 - 2025-12-02413Marlies-Cabaret Lady Mary Ann-
59 - 2025-12-04431Marlies-Caroline-
61 - 2025-12-06444Rocket-Marlies-
63 - 2025-12-08461Thunder-Marlies-
66 - 2025-12-11480Sags-Marlies-
68 - 2025-12-13499Oil Kings-Marlies-
71 - 2025-12-16520Baby Hawks-Marlies-
73 - 2025-12-18539Marlies-Bears-
75 - 2025-12-20558Marlies-Jayhawks-
76 - 2025-12-21568Marlies-Stars-
78 - 2025-12-23575Manchots-Marlies-
82 - 2025-12-27590Senators-Marlies-
83 - 2025-12-28601Marlies-Cougars-
85 - 2025-12-30617Spiders-Marlies-
87 - 2026-01-01634Oceanics-Marlies-
89 - 2026-01-03651Marlies-Sound Tigers-
92 - 2026-01-06672Cabaret Lady Mary Ann-Marlies-
94 - 2026-01-08686Marlies-Phantoms-
96 - 2026-01-10702Comets-Marlies-
98 - 2026-01-12723Marlies-Monsters-
99 - 2026-01-13733Marlies-Roadrunners-
101 - 2026-01-15748Marlies-Las Vegas-
103 - 2026-01-17762Marlies-Oceanics-
105 - 2026-01-19774Minnesota-Marlies-
107 - 2026-01-21788Cougars-Marlies-
109 - 2026-01-23802Las Vegas-Marlies-
111 - 2026-01-25819Monsters-Marlies-
113 - 2026-01-27831Crunch-Marlies-
115 - 2026-01-29857Marlies-Firebirds-
117 - 2026-01-31869Marlies-Comets-
119 - 2026-02-02885Marlies-Heat-
120 - 2026-02-03891Marlies-Oil Kings-
142 - 2026-02-25912Marlies-Thunder-
143 - 2026-02-26921Marlies-Cabaret Lady Mary Ann-
145 - 2026-02-28939Senators-Marlies-
147 - 2026-03-02954Phantoms-Marlies-
149 - 2026-03-04971Marlies-Spiders-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07994Thunder-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101014Marlies-Rocket-
157 - 2026-03-121029Admirals-Marlies-
159 - 2026-03-141047Marlies-Crunch-
160 - 2026-03-151060Marlies-Minnesota-
162 - 2026-03-171068Sound Tigers-Marlies-
165 - 2026-03-201094Caroline-Marlies-
166 - 2026-03-211106Marlies-Senators-
169 - 2026-03-241120Marlies-Bruins-
170 - 2026-03-251136Wolf Pack-Marlies-
173 - 2026-03-281160Marlies-Chiefs-
175 - 2026-03-301176Marlies-Admirals-
178 - 2026-04-021202Marlies-Sags-
180 - 2026-04-041217Marlies-Monarchs-
184 - 2026-04-081245Bears-Marlies-
185 - 2026-04-091252Marlies-Sound Tigers-
187 - 2026-04-111270Cabaret Lady Mary Ann-Marlies-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets5020
Assistance10,6475,123
Assistance PCT66.54%64.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 3943 - 65.71% 190,443$761,772$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
68,167$ 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$ 68,167$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,046,391$ 182 6,197$ 1,127,854$




Marlies Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Marlies Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA