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Monsters
GP: 57 | W: 20 | L: 33 | OTL: 4 | P: 44
GF: 170 | GA: 238 | PP%: 16.15% | PK%: 68.10%
DG: Simon Latour | Morale : 25 | Moyenne d’équipe : 62
Prochains matchs #918 vs Bruins

Centre de jeu
Monsters
20-33-4, 44pts
3
2 Utica Comets
13-39-5, 31pts
Team Stats
L1SéquenceL4
9-18-1Fiche domicile7-18-2
11-15-3Fiche domicile6-21-3
2-8-0Derniers 10 matchs1-9-0
2.98Buts par match 2.84
4.18Buts contre par match 4.89
16.15%Pourcentage en avantage numérique19.41%
68.10%Pourcentage en désavantage numérique68.37%
IceHogs
27-24-6, 60pts
5
2 Monsters
20-33-4, 44pts
Team Stats
W1SéquenceL1
13-14-4Fiche domicile9-18-1
14-10-2Fiche domicile11-15-3
6-3-1Derniers 10 matchs2-8-0
3.72Buts par match 2.98
3.67Buts contre par match 4.18
22.11%Pourcentage en avantage numérique16.15%
79.58%Pourcentage en désavantage numérique68.10%
Monsters
20-33-4, 44pts
2026-02-26
Bruins
35-19-3, 73pts
Statistiques d’équipe
L1SéquenceW2
9-18-1Fiche domicile18-10-2
11-15-3Fiche visiteur17-9-1
2-8-010 derniers matchs7-3-0
2.98Buts par match 3.65
4.18Buts contre par match 3.65
16.15%Pourcentage en avantage numérique22.75%
68.10%Pourcentage en désavantage numérique77.64%
Bridgeport Islanders
34-18-6, 74pts
2026-02-28
Monsters
20-33-4, 44pts
Statistiques d’équipe
W3SéquenceL1
18-7-3Fiche domicile9-18-1
16-11-3Fiche visiteur11-15-3
5-5-010 derniers matchs2-8-0
3.66Buts par match 2.98
3.12Buts contre par match 2.98
23.79%Pourcentage en avantage numérique16.15%
84.85%Pourcentage en désavantage numérique68.10%
Monsters
20-33-4, 44pts
2026-03-02
Wolf Pack
29-26-2, 60pts
Statistiques d’équipe
L1SéquenceW2
9-18-1Fiche domicile12-13-0
11-15-3Fiche visiteur17-13-2
2-8-010 derniers matchs7-3-0
2.98Buts par match 3.12
4.18Buts contre par match 3.12
16.15%Pourcentage en avantage numérique24.36%
68.10%Pourcentage en désavantage numérique85.24%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
18
Sebastian D. AhoPasses
Sebastian D. Aho
30
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
45
Lukas ReichelPlus/Moins
Lukas Reichel
9
Matt MurrayVictoires
Matt Murray
20
Matt MurrayPourcentage d’arrêts
Matt Murray
0.914

Statistiques d’équipe
Buts pour
170
2.98 GFG
Tirs pour
1880
32.98 Avg
Pourcentage en avantage numérique
16.1%
31 GF
Début de zone offensive
36.1%
Buts contre
238
4.18 GAA
Tirs contre
2711
47.56 Avg
Pourcentage en désavantage numérique
68.1%%
52 GA
Début de la zone défensive
46.7%
Informations de l'équipe

Directeur généralSimon Latour
EntraîneurKirk MacDonald
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,723
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 55
Espoirs5


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 Reichel0XX100.006136947069818767746860636665670616502411,200,000$
2Trey Fix-Wolansky0X100.006338736868908565636766626567680606502731,000,000$
3Nikita Nesterenko0X100.007239836379788762666064616365660596402431,000,000$
4Anton Blidh0X100.007042656177768560565962625770720266303131,000,000$
5Landon Slaggert0X100.006337856670797664586263656163640336302431,000,000$
6Chaz Lucius0X100.006537916274786759696159585662640396102311,000,000$
7Garrett Roe0X100.005637855965737658636159545677790266103831,000,000$
8Marcel Marcel0X100.008652745895677257555658595762640396102211,000,000$
9Filip Mesar (R)0X100.00563687636574676165625853646163021600222925,000$
10Mark Senden0X100.006238875771727355625658575367690316002831,000,000$
11Zachary Gallant0X100.006941735978756156655861555966680436002731,000,000$
12Pierre-Olivier Joseph0X100.006838816977867967306858625166670326402731,000,000$
13Sebastian D. Aho0X100.006535936766827565306859645169710396403031,000,000$
14William Villeneuve0X100.006340756672708065306858574863650416302431,000,000$
15Ryan Ufko0X100.00643693636982756230606159496264051620232925,000$
16Mike Benning0X100.005738796066758359306261554863650396102431,000,000$
17Kyle Marino0X100.007873555687638454305259574670720246003131,000,000$
Rayé
1Andrew Agozzino0XX100.005939756768918466686564616674760246503531,000,000$
2Andre Lee0X100.007942796291757960555962615765660256302631,000,000$
3Dylan Gambrell0X100.006037886469798258686063625669710356303031,000,000$
4Tristan Allard0X100.006840805977728055605760585563650196002431,000,000$
5Jordan Oesterle0X100.006736956671847865307062645375760246603431,000,000$
6Corey Schueneman0X100.006137895972818458305760604970720246203031,000,000$
7Mitchell Vande Sompel0X100.006136955672627055305456534568700195902931,000,000$
8Isaac Belliveau0X100.006841795577666354305656574663650195902311,000,000$
9Leo Loof0X100.006641755476618353305754554563650205802431,000,000$
MOYENNE D’ÉQUIPE100.0066408262747678604961605955666803462
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
1Matt Murray0100.00747671937372747372747375850336503211,000,000$
2Jacob Ingham0100.00667369846564666564666565730526102631,000,000$
Rayé
MOYENNE D’ÉQUIPE100.007075708969687069687069707904363
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk MacDonald72707463645984CAN4132,500,000$


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
1Trey Fix-WolanskyMonsters (CBJ)RW43182745-12207494202641638.91%2279618.534711461080002420048.82%12700011.1303000230
2Mike BenningMonsters (CBJ)D571625411320182731456710711.03%142117120.557613761570000101100%000000.7000000105
3William VilleneuveMonsters (CBJ)D57172340-21561016989127418713.39%144131523.0893127316700009911100.00%100000.6100002243
4Sebastian D. AhoMonsters (CBJ)D45103040-4160917410533799.52%107107823.971896014400011054033.33%300000.7401000250
5Nikita NesterenkoMonsters (CBJ)C43112435-331585122159581376.92%1475017.45268331050001122152.28%105400000.9311001012
6Lukas ReichelMonsters (CBJ)C/LW248223098068711336837.08%1365027.0905513630111800153.29%66800000.9224000113
7Marcel MarcelMonsters (CBJ)LW57181028-428012758126359014.29%4763911.2200010000173443.59%3900000.8811000213
8Dylan GambrellMonsters (CBJ)C3171320-2206607719599.09%1737712.1800012000000048.61%46700001.0601000110
9Corey SchuenemanMonsters (CBJ)D2321517114035193814225.26%4349421.512351959000161100%000000.6900000001
10Chaz LuciusMonsters (CBJ)C578513-4140375762184512.90%303085.42000340000161051.57%41300000.8400000002
11Filip MesarMonsters (CBJ)RW22347-900933407317.50%746721.2300000000000041.67%3600000.3001000000
12Ryan UfkoMonsters (CBJ)D40257-19003323306186.67%3256014.0200013000044000%000000.2500000011
13Isaac BelliveauMonsters (CBJ)D22145-21804316871412.50%2133215.1000000000022000%000000.3000000000
14Landon SlaggertMonsters (CBJ)LW31342004712388.33%05518.5302215000000037.50%800001.4400000002
15Mitchell Vande SompelMonsters (CBJ)D22123-36014574614.29%1931814.490000100003000%000000.1900000000
16Tristan AllardMonsters (CBJ)C29011000342010%0160.5600002000020085.71%700001.2400000000
17Zachary GallantMonsters (CBJ)C22011-1404710140%0904.1200001000100053.85%1300000.2201000000
18Mark SendenMonsters (CBJ)C22000000022020%0291.34000000001260033.33%120000000000000
Statistiques d’équipe totales ou en moyenne619123214337-602511592283012654139569.72%658945415.27254065327831011962713751.37%284800010.71413003111722
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
1Matt MurrayMonsters (CBJ)57203340.9144.04328218022125650300.611185701321
Statistiques d’équipe totales ou en moyenne57203340.9144.0432821802212565030185701321


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
Andre LeeMonsters (CBJ)LW262000-07-26SWENo206 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Andrew AgozzinoMonsters (CBJ)C/LW351991-01-03CANNo187 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Anton BlidhMonsters (CBJ)LW311995-03-14SWENo196 Lbs185 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Chaz LuciusMonsters (CBJ)C232003-05-02USANo185 Lbs185 CMNoNoFantasy DraftNoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Corey SchuenemanMonsters (CBJ)D301995-09-02USANo197 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dylan GambrellMonsters (CBJ)C301996-08-26USANo185 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Filip MesarMonsters (CBJ)RW222004-01-03SVKYes176 Lbs175 CMNoNoTrade2025-09-03NoNo22025-08-24FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Garrett RoeMonsters (CBJ)C381988-02-22USANo180 Lbs175 CMNoNoFantasy DraftYesYes32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Isaac BelliveauMonsters (CBJ)D232002-11-26CANNo185 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jacob InghamMonsters (CBJ)G262000-06-10CANNo186 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jordan OesterleMonsters (CBJ)D341992-06-25USANo181 Lbs183 CMNoNoTrade2025-09-03YesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Kyle MarinoMonsters (CBJ)D311995-06-01CANNo220 Lbs191 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Landon SlaggertMonsters (CBJ)LW242002-06-25USANo180 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Leo LoofMonsters (CBJ)D242002-04-25SWENo176 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lukas ReichelMonsters (CBJ)C/LW242002-05-17DEUNo170 Lbs183 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien / Lien NHL
Marcel MarcelMonsters (CBJ)LW222003-10-31CZENo242 Lbs193 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Mark SendenMonsters (CBJ)C281998-01-22USANo201 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matt MurrayMonsters (CBJ)G321994-05-25CANNo220 Lbs196 CMNoNoFantasy DraftYesYes12025-08-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Mike BenningMonsters (CBJ)D242002-01-05CANNo185 Lbs175 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Mitchell Vande SompelMonsters (CBJ)D291997-02-11CANNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nikita NesterenkoMonsters (CBJ)C242001-09-10USANo195 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D271999-07-01CANNo185 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ryan UfkoMonsters (CBJ)D232003-05-07USANo174 Lbs183 CMNoNoTrade2025-12-27NoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sebastian D. AhoMonsters (CBJ)D301996-02-17SWENo180 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Trey Fix-WolanskyMonsters (CBJ)RW271999-05-26CANNo191 Lbs170 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tristan AllardMonsters (CBJ)C242002-06-23CANNo200 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
William VilleneuveMonsters (CBJ)D242002-03-20CANNo175 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Zachary GallantMonsters (CBJ)C271999-03-06CANNo188 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.21191 Lbs183 CM2.571,001,786$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
3Marcel Marcel20122
4Chaz Lucius10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Villeneuve40122
2Mike Benning30122
320122
4William Villeneuve10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Villeneuve60122
2Mike Benning40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Villeneuve60122
2Mike Benning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122William Villeneuve60122
240122Mike Benning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Villeneuve60122
2Mike Benning40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William Villeneuve
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William Villeneuve
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : Matt Murray, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , Chaz Lucius, Marcel Marcel,
Lignes de défense personnalisées en prolongation
, William Villeneuve, , Mike Benning,


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
1Abbotsford Canucks21100000611-51010000018-71100000053220.500610160065495196668860756438923064412216.67%4175.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
2Admirals11000000312000000000001100000031221.000369006549519366886075643832411302150.00%30100.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
3Barracuda1010000023-1000000000001010000023-100.00024600654951931688607564386718422400.00%20100.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
4Bears301011001315-21000100043120100100912-330.5001325380065495191196886075643812928366210110.00%11645.45%0793193640.96%926251036.89%37292440.26%11718031588414686322
5Belleville Senators30300000514-920200000311-81010000023-100.00058130065495199068860756438160422650800.00%8275.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
6Bridgeport Islanders2010000159-41010000014-31000000145-110.250591400654951957688607564381033810306116.67%5180.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
7Calgary Wranglers21100000611-51010000028-61100000043120.50061218006549519626886075643899478386116.67%4175.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
8Charlotte Checkers10001000541000000000001000100054121.000581300654951946688607564384210829500.00%3233.33%0793193640.96%926251036.89%37292440.26%11718031588414686322
9Chicago Wolves11000000541000000000001100000054121.0005813006549519396886075643839126196116.67%3166.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
10Coachella Valley Firebirds1010000045-1000000000001010000045-100.0004812006549519376886075643848176267114.29%3233.33%0793193640.96%926251036.89%37292440.26%11718031588414686322
11Colorado Eagles21100000761110000005321010000023-120.5007111800654951955688607564381052412419444.44%6183.33%0793193640.96%926251036.89%37292440.26%11718031588414686322
12Condors211000007611010000012-11100000064220.5007142100654951961688607564381113019506233.33%7185.71%0793193640.96%926251036.89%37292440.26%11718031588414686322
13Griffins20100001611-51010000026-41000000145-110.25061117006549519876886075643891302448400.00%10460.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
14Henderson Silver Knights21100000550110000003121010000024-220.5005813006549519686886075643893291043600.00%4175.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
15IceHogs20200000314-111010000025-31010000019-800.0003470065495194968860756438156396327114.29%3166.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
16Laval Rocket1010000015-41010000015-40000000000000.00012300654951932688607564384110827200.00%4250.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
17Moose1010000034-1000000000001010000034-100.00035800654951945688607564383388146233.33%4175.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
18Ontario Reign211000007701010000014-31100000063320.5007121900654951965688607564389234640300.00%3166.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
19Penguins412010001319-62100100086220200000513-840.5001321340065495191206886075643817455228416425.00%9366.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
20Phantoms1010000013-21010000013-20000000000000.00012300654951935688607564386618829500.00%4250.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
21Rochester Americans21100000770110000004311010000034-120.500711180065495195868860756438962416425240.00%7185.71%0793193640.96%926251036.89%37292440.26%11718031588414686322
22San Diego Gulls2020000059-41010000025-31010000034-100.000581300654951969688607564389330105415213.33%5180.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
23Syracruse Crunch20200000410-620200000410-60000000000000.00048120065495196868860756438924120398112.50%9366.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
24Texas Stars2110000068-21010000025-31100000043120.500611170065495194368860756438993518473133.33%8275.00%1793193640.96%926251036.89%37292440.26%11718031588414686322
25Thunderbirds201010007701010000045-11000100032120.50071320006549519546886075643877238374125.00%30100.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
26Toronto Marlies31100001916-720100001413-91100000053230.500915240065495199268860756438134452082200.00%9544.44%0793193640.96%926251036.89%37292440.26%11718031588414686322
27Tucson Roadrunners1010000013-2000000000001010000013-200.000112006549519256886075643856216294125.00%3166.67%0793193640.96%926251036.89%37292440.26%11718031588414686322
28Utica Comets412000101314-1201000107702110000067-140.5001322350065495191646886075643816642141309111.11%7528.57%0793193640.96%926251036.89%37292440.26%11718031588414686322
29Wild21100000752110000004131010000034-120.50071320006549519536886075643887261449700.00%70100.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
30Wolf Pack11000000422110000004220000000000021.0004812006549519546886075643838812225120.00%5180.00%0793193640.96%926251036.89%37292440.26%11718031588414686322
Total57153304113170238-68286180201170120-502991502102100118-18440.386170298468006549519188068860756438271181838212891923116.15%1635268.10%1793193640.96%926251036.89%37292440.26%11718031588414686322
_Since Last GM Reset57153304113170238-68286180201170120-502991502102100118-18440.386170298468006549519188068860756438271181838212891923116.15%1635268.10%1793193640.96%926251036.89%37292440.26%11718031588414686322
_Vs Conference306160311391133-4217310020114373-301336011024860-12240.400911582490065495191061688607564381371403230693911213.19%943859.57%0793193640.96%926251036.89%37292440.26%11718031588414686322
_Vs Division1647021115466-128230201025250824001012941-12160.50054951490065495195886886075643871520110837657915.79%441956.82%0793193640.96%926251036.89%37292440.26%11718031588414686322

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5744L117029846818802711818382128900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5715334113170238
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28618201170120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
299152102100118
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1923116.15%1635268.10%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
688607564386549519
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
793193640.96%926251036.89%37292440.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11718031588414686322


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 - 2025-10-0916Monsters3Admirals1WSommaire du match
5 - 2025-10-1133Monsters3Wild4LSommaire du match
7 - 2025-10-1345Utica Comets5Monsters6WXXSommaire du match
10 - 2025-10-1667Colorado Eagles3Monsters5WSommaire du match
12 - 2025-10-1882Syracruse Crunch4Monsters3LSommaire du match
15 - 2025-10-21106Monsters4Texas Stars3WSommaire du match
18 - 2025-10-24125Bears3Monsters4WXSommaire du match
19 - 2025-10-25134Monsters2Penguins5LSommaire du match
22 - 2025-10-28152Monsters3Rochester Americans4LSommaire du match
23 - 2025-10-29166Toronto Marlies8Monsters0LSommaire du match
26 - 2025-11-01189Thunderbirds5Monsters4LSommaire du match
27 - 2025-11-02195Monsters4Bridgeport Islanders5LXXSommaire du match
30 - 2025-11-05215Monsters4Calgary Wranglers3WSommaire du match
33 - 2025-11-08241Monsters5Abbotsford Canucks3WSommaire du match
35 - 2025-11-10254Monsters6Condors4WSommaire du match
36 - 2025-11-11264Monsters4Coachella Valley Firebirds5LSommaire du match
38 - 2025-11-13274Condors2Monsters1LSommaire du match
40 - 2025-11-15290Wolf Pack2Monsters4WSommaire du match
42 - 2025-11-17305Laval Rocket5Monsters1LSommaire du match
43 - 2025-11-18311Monsters3Moose4LSommaire du match
45 - 2025-11-20319Monsters5Toronto Marlies3WSommaire du match
47 - 2025-11-22335Monsters4Griffins5LXXSommaire du match
49 - 2025-11-24356Monsters4Bears5LXSommaire du match
51 - 2025-11-26369Toronto Marlies5Monsters4LXXSommaire du match
53 - 2025-11-28388Penguins4Monsters5WSommaire du match
56 - 2025-12-01406Monsters3Utica Comets5LSommaire du match
59 - 2025-12-04432Griffins6Monsters2LSommaire du match
61 - 2025-12-06442Monsters5Charlotte Checkers4WXSommaire du match
62 - 2025-12-07459Monsters5Bears7LSommaire du match
64 - 2025-12-09471Monsters5Chicago Wolves4WSommaire du match
66 - 2025-12-11486Belleville Senators4Monsters1LSommaire du match
68 - 2025-12-13502Henderson Silver Knights1Monsters3WSommaire du match
71 - 2025-12-16525San Diego Gulls5Monsters2LSommaire du match
73 - 2025-12-18540Wild1Monsters4WSommaire du match
75 - 2025-12-20560Monsters3San Diego Gulls4LSommaire du match
77 - 2025-12-22574Monsters6Ontario Reign3WSommaire du match
83 - 2025-12-28603Bridgeport Islanders4Monsters1LSommaire du match
84 - 2025-12-29606Monsters2Belleville Senators3LSommaire du match
86 - 2025-12-31627Utica Comets2Monsters1LSommaire du match
89 - 2026-01-03646Rochester Americans3Monsters4WSommaire du match
90 - 2026-01-04658Penguins2Monsters3WXSommaire du match
92 - 2026-01-06675Monsters2Barracuda3LSommaire du match
94 - 2026-01-08692Monsters2Henderson Silver Knights4LSommaire du match
96 - 2026-01-10699Monsters2Colorado Eagles3LSommaire du match
97 - 2026-01-11714Monsters1Tucson Roadrunners3LSommaire du match
99 - 2026-01-13728Calgary Wranglers8Monsters2LSommaire du match
101 - 2026-01-15743Abbotsford Canucks8Monsters1LSommaire du match
103 - 2026-01-17760Monsters3Penguins8LSommaire du match
106 - 2026-01-20782Belleville Senators7Monsters2LSommaire du match
108 - 2026-01-22797Texas Stars5Monsters2LSommaire du match
110 - 2026-01-24814Syracruse Crunch6Monsters1LSommaire du match
112 - 2026-01-26828Ontario Reign4Monsters1LSommaire du match
114 - 2026-01-28840Phantoms3Monsters1LSommaire du match
116 - 2026-01-30858Monsters1IceHogs9LSommaire du match
117 - 2026-01-31868Monsters3Thunderbirds2WXSommaire du match
120 - 2026-02-03887Monsters3Utica Comets2WSommaire du match
121 - 2026-02-04894IceHogs5Monsters2LSommaire du match
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28937Bridgeport Islanders-Monsters-
147 - 2026-03-02953Monsters-Wolf Pack-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05978Charlotte Checkers-Monsters-
152 - 2026-03-07995Tucson Roadrunners-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101015Monsters-Syracruse Crunch-
157 - 2026-03-121031Monsters-Charlotte Checkers-
159 - 2026-03-141052Monsters-Phantoms-
162 - 2026-03-171070Chicago Wolves-Monsters-
164 - 2026-03-191086Wolf Pack-Monsters-
166 - 2026-03-211104Coachella Valley Firebirds-Monsters-
167 - 2026-03-221114Monsters-Bridgeport Islanders-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261137Monsters-Laval Rocket-
173 - 2026-03-281158Barracuda-Monsters-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311185Chicago Wolves-Monsters-
178 - 2026-04-021197Monsters-Chicago Wolves-
180 - 2026-04-041215Moose-Monsters-
183 - 2026-04-071235Monsters-Griffins-
185 - 2026-04-091247Monsters-Rochester Americans-
187 - 2026-04-111271Monsters-Laval Rocket-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141295Bears-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance51,00825,223
Assistance PCT91.09%90.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
13 2723 - 90.75% 112,818$3,158,892$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,386,988$ 2,805,000$ 2,805,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,084,896$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,466,628$ 51 27,630$ 1,409,130$




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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