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Marlies
GP: 26 | W: 17 | L: 8 | OTL: 1 | P: 35
GF: 135 | GA: 108 | PP%: 30.49% | PK%: 69.23%
DG: Patrick Pellegrino | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #431 vs Caroline

Centre de jeu
Marlies
17-8-1, 35pts
2
FINAL
6 Manchots
17-6-2, 36pts
Team Stats
W1SéquenceSOL1
11-3-1Fiche domicile8-4-0
6-5-0Fiche domicile9-2-2
5-5-0Derniers 10 matchs5-4-1
5.19Buts par match 4.24
4.15Buts contre par match 3.16
30.49%Pourcentage en avantage numérique24.69%
69.23%Pourcentage en désavantage numérique70.69%
Marlies
17-8-1, 35pts
8
FINAL
1 Cabaret Lady Mary Ann
8-16-1, 17pts
Team Stats
W1SéquenceL3
11-3-1Fiche domicile3-11-1
6-5-0Fiche domicile5-5-0
5-5-0Derniers 10 matchs3-7-0
5.19Buts par match 3.92
4.15Buts contre par match 6.08
30.49%Pourcentage en avantage numérique25.76%
69.23%Pourcentage en désavantage numérique62.50%
Marlies
17-8-1, 35pts
2025-12-04
Caroline
7-15-3, 17pts
Statistiques d’équipe
W1SéquenceW1
11-3-1Fiche domicile4-6-2
6-5-0Fiche visiteur3-9-1
5-5-010 derniers matchs3-6-1
5.19Buts par match 4.00
4.15Buts contre par match 4.00
30.49%Pourcentage en avantage numérique14.04%
69.23%Pourcentage en désavantage numérique58.89%
Rocket
11-14-1, 23pts
2025-12-06
Marlies
17-8-1, 35pts
Statistiques d’équipe
L2SéquenceW1
6-8-0Fiche domicile11-3-1
5-6-1Fiche visiteur6-5-0
4-5-110 derniers matchs5-5-0
4.50Buts par match 5.19
5.69Buts contre par match 5.19
24.42%Pourcentage en avantage numérique30.49%
54.44%Pourcentage en désavantage numérique69.23%
Thunder
7-14-5, 19pts
2025-12-08
Marlies
17-8-1, 35pts
Statistiques d’équipe
L3SéquenceW1
3-5-5Fiche domicile11-3-1
4-9-0Fiche visiteur6-5-0
1-7-210 derniers matchs5-5-0
4.04Buts par match 5.19
5.96Buts contre par match 5.19
22.03%Pourcentage en avantage numérique30.49%
51.58%Pourcentage en désavantage numérique69.23%
Meneurs d'équipe
Buts
David Gustafsson
16
Passes
Samuel Helenius
23
Points
Samuel Helenius
29
Plus/Moins
Ozzy Wiesblatt
12
Victoires
Jet Greaves
12
Pourcentage d’arrêts
Jet Greaves
0.859

Statistiques d’équipe
Buts pour
135
5.19 GFG
Tirs pour
681
26.19 Avg
Pourcentage en avantage numérique
30.5%
25 GF
Début de zone offensive
31.4%
Buts contre
108
4.15 GAA
Tirs contre
689
26.50 Avg
Pourcentage en désavantage numérique
69.2%%
20 GA
Début de la zone défensive
33.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité6,000
Assistance3,937
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
1David Gustafsson (R)XXX100.00634383748378766876646369687363050680243975,000$
2Cole Schwindt (R)X100.00704182717773726670656066665953050650233975,000$
3Samuel Helenius (R)X100.00796172698270666561606065655250050640211828,333$
4Fabian Lysell (R)X100.00614366716162606444645762645050050610211894,167$
5Ozzy Wiesblatt (R)X100.00615358696264626143615661625150050600221835,833$
6Jan Jeník (R)X100.00574861665964636343615757625250050590241650,000$
7Ryan Suzuki (R)X100.00554271646365636463645651615250050590232620,000$
8Brett Harrison (R)X100.00634172656463616042565359595050050580212836,667$
9Luke Tuch (R)X100.00624262616462615841555559585150050570222912,500$
10Albin Eriksson (R)X100.00415092577739542850232541325050050420242620,000$
11Victor Mancini (R)X100.00614073678075626540636264655150050640223870,000$
12Victor SoderstromX100.00554566716865606339595465635451050610231900,000$
13Leo Lööf (R)X100.0059456465636463594059516458515005060N0223885,000$
14Shai Buium (R)X100.00634167626562616140615564595050050600213925,000$
15Mason Millman (R)X100.00614169686161595740535364595150050590231700,000$
16Djibril Touré (R)X100.0063446062676058574054556358505005059N0213885,000$
17Isaac Belliveau (R)X100.0061416762626058574054546458505005059N0213775,000$
Rayé
1Jakob Pelletier (R)X100.00674081766876696846666365695750050650231863,333$
2Karl Henriksson (R)X100.00544172675859585741525255605150050560231870,000$
3Artem 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
1Samuel HeleniusMarlies (Tor)C186232944315314441151414.63%337420.8029118410111261058.63%498614001.5500201013
2David GustafssonMarlies (Tor)C/LW/RW18161228075271769195023.19%943023.92571213420000322070.97%312519021.3001100312
3Cole SchwindtMarlies (Tor)RW18111627-295292173244415.07%838921.6437101242000002162.50%241311011.3911010132
4Jan JeníkMarlies (Tor)C181410245155342751132627.45%433818.833369302022202143.35%1731010011.4200001221
5Fabian LysellMarlies (Tor)RW1811132454023165664019.64%732117.84235728000011173.08%26139011.4900000112
6Ozzy WiesblattMarlies (Tor)RW181013231280301958122717.24%829016.14011040001110051.72%291011001.5800000112
7Ryan SuzukiMarlies (Tor)C18910191200192239112023.08%325814.3600000000021063.06%111410001.4700000201
8Victor ManciniMarlies (Tor)D1821618121152132309186.67%2048526.9610144601113200100.00%1926000.7400010010
9Luke TuchMarlies (Tor)LW1841014512035152161119.05%433418.560332270221171033.33%617000.8400000100
10Leo LööfMarlies (Tor)D18191011410101696311.11%1135019.47112127000121000%0214000.5700101000
11Victor SoderstromMarlies (Tor)D182351095182422999.09%1943023.90213447000034000%0719000.2300100000
12Jakob PelletierMarlies (Tor)LW23252004152760.00%03517.691011200001100%022002.8300000100
13Shai BuiumMarlies (Tor)D1805516015129640%1835819.8901112800002200100.00%1320000.2800000000
14Albin ErikssonMarlies (Tor)LW16112105511762416.67%122414.0300002000050066.67%301000.1800001000
15Mason MillmanMarlies (Tor)D18022495685220%624413.590000000005000%0010000.1600001000
16Djibril TouréMarlies (Tor)D16011240682110%621713.610000200002000%009000.0900000000
17Isaac BelliveauMarlies (Tor)D18011520131110%11166.480000000000000%003000.1700000000
18Brett HarrisonMarlies (Tor)C18000-500692040%11206.6700000000000056.82%441100000000000
Statistiques d’équipe totales ou en moyenne30490147237831586032630149914428518.04%129532017.5020365662375246723911356.92%947106196050.8912525121013
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
1Jet GreavesMarlies (Tor)1812500.8593.6110142061432206001.0003180010
2Hugo OllasMarlies (Tor)30100.8534.297000534180000018000
Statistiques d’équipe totales ou en moyenne2112600.8583.65108420664662240031818010


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$125,907$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
1David GustafssonSamuel HeleniusCole Schwindt40122
2Luke TuchJan JeníkFabian Lysell30122
3Albin ErikssonRyan SuzukiOzzy Wiesblatt20122
4David GustafssonBrett HarrisonCole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniVictor Soderstrom40122
2Leo LööfShai Buium30122
3Mason MillmanDjibril Touré20122
4Isaac BelliveauVictor Mancini10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David GustafssonSamuel HeleniusCole Schwindt60122
2Luke TuchJan JeníkFabian Lysell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniVictor Soderstrom60122
2Leo LööfShai Buium40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusDavid Gustafsson60122
2Jan JeníkLuke Tuch40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniVictor Soderstrom60122
2Leo LööfShai Buium40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Samuel Helenius60122Victor ManciniVictor Soderstrom60122
2Jan Jeník40122Leo LööfShai Buium40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusDavid Gustafsson60122
2Jan JeníkLuke Tuch40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniVictor Soderstrom60122
2Leo LööfShai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David GustafssonSamuel HeleniusCole SchwindtVictor ManciniVictor Soderstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David GustafssonSamuel HeleniusCole SchwindtVictor ManciniVictor Soderstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ozzy Wiesblatt, Jan Jeník, Ryan SuzukiOzzy Wiesblatt, Jan JeníkOzzy Wiesblatt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Millman, Djibril Touré, Isaac BelliveauMason MillmanMason Millman, Djibril Touré
Tirs de pénalité
David Gustafsson, Cole Schwindt, Samuel Helenius, Fabian Lysell, Ozzy Wiesblatt
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
1Baby Hawks1010000058-3000000000001010000058-300.00051015002751538291642612481635111217300.00%6266.67%022642153.68%22944951.00%25047053.19%526286545243500252
2Bears11000000211000000000001100000021121.0002350027515382516426124816295422400.00%20100.00%022642153.68%22944951.00%25047053.19%526286545243500252
3Bruins21100000853110000007251010000013-220.50081422002751538441642612481637142406233.33%110.00%022642153.68%22944951.00%25047053.19%526286545243500252
4Cabaret Lady Mary Ann11000000817000000000001100000081721.00081220002751538361642612481622411125240.00%30100.00%022642153.68%22944951.00%25047053.19%526286545243500252
5Caroline11000000945110000009450000000000021.00091524002751538291642612481622818184375.00%40100.00%122642153.68%22944951.00%25047053.19%526286545243500252
6Chiefs10000010321100000103210000000000021.0003360027515382716426124816145416100.00%20100.00%022642153.68%22944951.00%25047053.19%526286545243500252
7Cougars2100001015132110000008711000001076141.000152439002751538601642612481663171425600.00%7357.14%022642153.68%22944951.00%25047053.19%526286545243500252
8Crunch2200000018991100000012481100000065141.0001835530027515385016426124816491639324125.00%7271.43%122642153.68%22944951.00%25047053.19%526286545243500252
9Firebirds1010000016-51010000016-50000000000000.000123002751538201642612481629878400.00%110.00%022642153.68%22944951.00%25047053.19%526286545243500252
10Heat11000000523110000005230000000000021.0005712002751538381642612481624124253133.33%2150.00%022642153.68%22944951.00%25047053.19%526286545243500252
11Jayhawks1010000045-11010000045-10000000000000.000461000275153819164261248162232132150.00%10100.00%022642153.68%22944951.00%25047053.19%526286545243500252
12Manchots2020000049-51010000023-11010000026-400.0004610002751538541642612481665221738200.00%6350.00%022642153.68%22944951.00%25047053.19%526286545243500252
13Monarchs10001000651100010006510000000000021.0006101600275153834164261248162864115240.00%20100.00%022642153.68%22944951.00%25047053.19%526286545243500252
14Monsters321000001516-111000000541211000001012-240.66715243900275153878164261248169422375715533.33%11554.55%122642153.68%22944951.00%25047053.19%526286545243500252
15Phantoms11000000532000000000001100000053221.000581300275153828164261248162752212150.00%10100.00%022642153.68%22944951.00%25047053.19%526286545243500252
16Roadrunners11000000725110000007250000000000021.00071017002751538291642612481617310194250.00%000%022642153.68%22944951.00%25047053.19%526286545243500252
17Rocket211000001183110000009451010000024-220.50011203100275153836164261248164286157342.86%30100.00%122642153.68%22944951.00%25047053.19%526286545243500252
18Spiders10001000651100010006510000000000021.00061218002751538221642612481639118511100.00%4175.00%122642153.68%22944951.00%25047053.19%526286545243500252
19Wolf Pack1000010034-11000010034-10000000000010.5003580027515382316426124816319474125.00%2150.00%022642153.68%22944951.00%25047053.19%526286545243500252
Total2613802120135108271583021108759281155000104849-1350.67313522636100275153868116426124816689189205401822530.49%652069.23%522642153.68%22944951.00%25047053.19%526286545243500252
_Since Last GM Reset2613802120135108271583021108759281155000104849-1350.67313522636100275153868116426124816689189205401822530.49%652069.23%522642153.68%22944951.00%25047053.19%526286545243500252
_Vs Conference1364021005650673102100362511633000002025-5170.6545692148002751538337164261248163679788220431432.56%291162.07%222642153.68%22944951.00%25047053.19%526286545243500252
_Vs Division9210100060362442001000361719501000002419560.3336010516500275153822616426124816213597212428828.57%21671.43%222642153.68%22944951.00%25047053.19%526286545243500252

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2635W113522636168168918920540100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
261382120135108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
158321108759
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
115500104849
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
822530.49%652069.23%5
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
164261248162751538
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
22642153.68%22944951.00%25047053.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
526286545243500252


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 - 2025-10-1879Firebirds6Marlies1LSommaire du match
15 - 2025-10-2198Spiders5Marlies6WXSommaire du match
18 - 2025-10-24123Marlies6Crunch5WSommaire du match
19 - 2025-10-25132Crunch4Marlies12WSommaire du match
22 - 2025-10-28151Heat2Marlies5WSommaire du match
23 - 2025-10-29166Marlies8Monsters6WSommaire du match
26 - 2025-11-01188Marlies5Phantoms3WSommaire du match
28 - 2025-11-03199Manchots3Marlies2LSommaire du match
30 - 2025-11-05213Roadrunners2Marlies7WSommaire du match
33 - 2025-11-08234Bruins2Marlies7WSommaire du match
34 - 2025-11-09246Caroline4Marlies9WSommaire du match
36 - 2025-11-11256Marlies1Bruins3LSommaire du match
38 - 2025-11-13269Monarchs5Marlies6WXSommaire du match
40 - 2025-11-15291Marlies5Baby Hawks8LSommaire du match
43 - 2025-11-18307Chiefs2Marlies3WXXSommaire du match
45 - 2025-11-20319Monsters4Marlies5WSommaire du match
47 - 2025-11-22337Marlies2Rocket4LSommaire du match
51 - 2025-11-26369Marlies2Monsters6LSommaire du match
53 - 2025-11-28386Marlies2Bears1WSommaire du match
54 - 2025-11-29396Marlies2Manchots6LSommaire du match
57 - 2025-12-02413Marlies8Cabaret Lady Mary Ann1WSommaire du match
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
Assistance38,66920,383
Assistance PCT64.45%67.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-12 3937 - 65.61% 187,289$2,809,332$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
359,426$ 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$ 359,426$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,869,509$ 135 6,197$ 836,595$




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