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Monsters
GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 21 | GA: 43 | PP%: 14.29% | PK%: 61.90%
DG: Alexandre Gagne | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #142 vs Marlies

Centre de jeu
Wolf Pack
1-10-0, 2pts
2
4 Monsters
3-4-0, 6pts
Team Stats
L3SéquenceL1
1-5-0Fiche domicile2-3-0
0-5-0Fiche domicile1-1-0
1-9-0Derniers 10 matchs3-4-0
1.82Buts par match 3.00
5.27Buts contre par match 6.14
15.00%Pourcentage en avantage numérique14.29%
78.95%Pourcentage en désavantage numérique61.90%
Monsters
3-4-0, 6pts
1
3 Wild
6-2-1, 13pts
Team Stats
L1SéquenceW1
2-3-0Fiche domicile2-1-1
1-1-0Fiche domicile4-1-0
3-4-0Derniers 10 matchs6-2-1
3.00Buts par match 4.56
6.14Buts contre par match 2.89
14.29%Pourcentage en avantage numérique30.77%
61.90%Pourcentage en désavantage numérique78.79%
Marlies
6-3-1, 13pts
2026-10-20
Monsters
3-4-0, 6pts
Statistiques d’équipe
OTL1SéquenceL1
3-3-1Fiche domicile2-3-0
3-0-0Fiche visiteur1-1-0
6-3-110 derniers matchs3-4-0
4.10Buts par match 3.00
3.30Buts contre par match 3.00
37.93%Pourcentage en avantage numérique14.29%
71.43%Pourcentage en désavantage numérique61.90%
Silver Knights
6-3-1, 13pts
2026-10-24
Monsters
3-4-0, 6pts
Statistiques d’équipe
W2SéquenceL1
3-2-1Fiche domicile2-3-0
3-1-0Fiche visiteur1-1-0
6-3-110 derniers matchs3-4-0
3.90Buts par match 3.00
3.60Buts contre par match 3.00
22.92%Pourcentage en avantage numérique14.29%
76.19%Pourcentage en désavantage numérique61.90%
Monsters
3-4-0, 6pts
2026-10-27
Phantoms
7-4-0, 14pts
Statistiques d’équipe
L1SéquenceL2
2-3-0Fiche domicile3-3-0
1-1-0Fiche visiteur4-1-0
3-4-010 derniers matchs6-4-0
3.00Buts par match 3.27
6.14Buts contre par match 3.27
14.29%Pourcentage en avantage numérique37.50%
61.90%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Jonathan LekkerimakiButs
Jonathan Lekkerimaki
3
Daniil ButPasses
Daniil But
5
Daniil ButPoints
Daniil But
6
Carson MeyerPlus/Moins
Carson Meyer
5
Nikita TolopiloVictoires
Nikita Tolopilo
3
Nikita TolopiloPourcentage d’arrêts
Nikita Tolopilo
0.907

Statistiques d’équipe
Buts pour
21
3.00 GFG
Tirs pour
237
33.86 Avg
Pourcentage en avantage numérique
14.3%
3 GF
Début de zone offensive
36.2%
Buts contre
43
6.14 GAA
Tirs contre
349
49.86 Avg
Pourcentage en désavantage numérique
61.9%%
8 GA
Début de la zone défensive
42.9%
Informations de l'équipe

Directeur généralAlexandre Gagne
EntraîneurMike Vellucci
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,552
Billets de saison3,750


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 70
Espoirs49


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
1Daniil But (R)X100.00764279679087866861646663626165040660223925,000$
2Adam EdstromX100.00775390679974766355606164626568040650261925,000$
3Jonathan LekkerimakiX100.00613595666787776855596758666264040640232925,000$
4Brad LambertXX100.006437866872828366576058566365670406302354,000,000$
5Carson MeyerX100.006039836469847563596261606369710406303031,499,999$
6Brennan OthmannX100.00704271667379806457606261666365040630241925,000$
7Ben SteevesX100.00615568636286856258616064636566040620252925,000$
8Bogdan TrineyevXX100.00703987558382845653575862566466040610251925,000$
9Gavin HayesX100.00643793597382805654585755596264040600232925,000$
10Sam LipkinX100.00704082577970785653545558566365040600242925,000$
11Michael MilneX100.00723974586976785752545553566466040590242925,000$
12Josh DaviesX100.006042595469666553505152555362640405602321,499,999$
13Shakir MukhamadullinX100.007539896886857964307061675164660406602532,300,000$
14Tobias BjornfotX100.006738906374808258306059634965670406302621,499,999$
15Ville OttavainenX100.00824372629182836130605359466466040620251925,000$
16Ville HeinolaX100.006239846571827264306352574865670406102621,499,999$
17Riley StillmanX100.007564625982727758305553574668700406002911,100,000$
18Charlie WrightX100.00643695557362725430535156456365040580232925,000$
Rayé
MOYENNE D’ÉQUIPE100.0068428162777978614759585956646604062
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
1Arsenii Sergeev (R)100.0076827881757476757476756471040670243925,000$
2Nikita Tolopilo100.00768682987574767574767566750406702731,499,999$
Rayé
1Owen Flores (R)100.0072716876717072717072716267040650233925,000$
MOYENNE D’ÉQUIPE100.007580768574737574737574647104066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci64626568908456USA603500,000$


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
1Daniil ButMonsters (CBJ)LW4156300116237194.35%09724.291127160001110061.54%2600001.2300000000
2Jonathan LekkerimakiMonsters (CBJ)RW43253001122141314.29%19022.69011416000060069.23%1300001.1000000011
3Shakir MukhamadullinMonsters (CBJ)D4235560104115518.18%79724.3810151600008000%000001.0300000000
4Brennan OthmannMonsters (CBJ)LW4235400168229109.09%08320.90000616000161085.71%700001.2000000011
5Ville HeinolaMonsters (CBJ)D41452001945625.00%68621.6401121600007000%000001.1600000000
6Adam EdstromMonsters (CBJ)C4134300119204105.00%09724.410112160000100158.41%11300000.8200000100
7Ben SteevesMonsters (CBJ)LW4224400481021420.00%16015.1500000000010066.67%300001.3200000100
8Brad LambertMonsters (CBJ)C/RW4224420514165812.50%37819.72000416000000053.21%10900001.0100000001
9Carson MeyerMonsters (CBJ)RW4224520162071010.00%37719.26000216000001025.00%800001.0400000000
10Riley StillmanMonsters (CBJ)D413456011032133.33%55413.630000000000000%000001.4700000010
11Gavin HayesMonsters (CBJ)LW40334201125280%06015.0000000000000052.31%6500001.0000000000
12Charlie WrightMonsters (CBJ)D4022520031120%25914.980000000005000%000000.6700000000
13Bogdan TrineyevMonsters (CBJ)LW/RW42024005383625.00%25614.25000000000010100.00%200000.7000000000
14Tobias BjornfotMonsters (CBJ)D41124005893611.11%49824.70000416000011000%000000.4000000000
15Josh DaviesMonsters (CBJ)LW4011100000000%041.0200000000030066.67%300004.9000000000
16Ville OttavainenMonsters (CBJ)D40112601345070%48521.3600041600006000%000000.2300000000
17Michael MilneMonsters (CBJ)LW4000000000000%000.130000000000000%00000000000000
18Sam LipkinMonsters (CBJ)LW4000000001000%010.250000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne7220375758260951061795912511.17%38119116.54246401650002803156.45%34900000.9600000233
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
1Nikita TolopiloMonsters (CBJ)43100.9072.7124420111180000040000
Statistiques d’équipe totales ou en moyenne43100.9072.712442011118000040000


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam EdstromMonsters (CBJ)C262000-10-12SWENo232 Lbs201 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Arsenii SergeevMonsters (CBJ)G242002-12-16RUSYes192 Lbs191 CMNoNoTrade2026-07-18NoNo32026-07-18FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ben SteevesMonsters (CBJ)LW252002-05-10USANo165 Lbs173 CMNoNoTrade2026-08-09NoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Bogdan TrineyevMonsters (CBJ)LW/RW252002-03-04RUSNo198 Lbs191 CMNoNoTrade2026-08-09NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Brad Lambert (contrat à 1 volet)Monsters (CBJ)C/RW232003-12-19FINNo173 Lbs185 CMNoNoFree Agent2025-10-26NoNo52026-07-25FalseFalsePro & Farm4,000,000$4,000,000$3,545,946$No4,000,000$4,000,000$4,000,000$4,000,000$-----4,000,000$4,000,000$4,000,000$4,000,000$-----NoNoNoNo-----Lien / Lien NHL
Brennan OthmannMonsters (CBJ)LW242003-01-05CANNo192 Lbs183 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Carson MeyerMonsters (CBJ)RW301997-08-18USANo184 Lbs180 CMNoNoAssign ManuallyYesYes32024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Charlie WrightMonsters (CBJ)D232003-10-22CANNo179 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Daniil ButMonsters (CBJ)LW222005-02-15RUSYes203 Lbs196 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Gavin HayesMonsters (CBJ)LW232004-05-14USANo177 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jonathan LekkerimakiMonsters (CBJ)RW232004-07-24SWENo172 Lbs180 CMNoNoTrade2026-05-24NoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Josh DaviesMonsters (CBJ)LW232004-03-24CANNo197 Lbs175 CMNoNoFree AgentNoNo22025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Michael MilneMonsters (CBJ)LW242002-09-21CANNo185 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikita TolopiloMonsters (CBJ)G272000-04-06BLRNo229 Lbs198 CMNoNoAssign ManuallyNoYes32024-07-17FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Owen FloresMonsters (CBJ)G232004-05-09USAYes176 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Riley StillmanMonsters (CBJ)D291998-03-09CANNo207 Lbs188 CMNoNoN/AYesYes1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Sam LipkinMonsters (CBJ)LW242003-01-03USANo192 Lbs188 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Shakir Mukhamadullin (contrat à 1 volet)Monsters (CBJ)D252002-01-10RUSNo200 Lbs193 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm2,300,000$2,300,000$2,038,919$No2,300,000$2,300,000$-------2,300,000$2,300,000$-------NoNo-------Lien / Lien NHL
Tobias BjornfotMonsters (CBJ)D262001-04-06SWENo200 Lbs183 CMNoNoFree AgentNoNo22025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Ville HeinolaMonsters (CBJ)D262001-03-02FINNo181 Lbs183 CMNoNoFree AgentNoNo22025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Ville OttavainenMonsters (CBJ)D252002-08-12FINNo210 Lbs196 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.76193 Lbs188 CM2.191,282,143$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniil ButAdam EdstromJonathan Lekkerimaki40122
2Brennan OthmannBrad LambertCarson Meyer30122
3Ben SteevesGavin HayesBogdan Trineyev20122
4Gavin HayesDaniil ButAdam Edstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinTobias Bjornfot40122
2Ville OttavainenVille Heinola30122
3Riley StillmanCharlie Wright20122
4Shakir MukhamadullinTobias Bjornfot10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniil ButAdam EdstromJonathan Lekkerimaki60122
2Brennan OthmannBrad LambertCarson Meyer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinTobias Bjornfot60122
2Ville OttavainenVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Daniil ButAdam Edstrom60122
2Jonathan LekkerimakiBrennan Othmann40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinTobias Bjornfot60122
2Ville OttavainenVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Daniil But60122Shakir MukhamadullinTobias Bjornfot60122
2Adam Edstrom40122Ville OttavainenVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniil ButAdam Edstrom60122
2Jonathan LekkerimakiBrennan Othmann40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinTobias Bjornfot60122
2Ville OttavainenVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniil ButAdam EdstromJonathan LekkerimakiShakir MukhamadullinTobias Bjornfot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniil ButAdam EdstromJonathan LekkerimakiShakir MukhamadullinTobias Bjornfot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Lipkin, Michael Milne, Josh DaviesSam Lipkin, Michael MilneJosh Davies
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Stillman, Charlie Wright, Ville OttavainenRiley StillmanCharlie Wright, Ville Ottavainen
Tirs de pénalité
Daniil But, Adam Edstrom, Jonathan Lekkerimaki, Brennan Othmann, Brad Lambert
Gardien
#1 : Nikita Tolopilo, #2 : Arsenii Sergeev


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
1Americans10100000011-1110100000011-110000000000000.00000000117211771788628420214000%110.00%010522147.51%9526236.26%4212832.81%143102205467534
2Checkers11000000918110000009180000000000021.0009182700117217971788622513628200.00%3166.67%010522147.51%9526236.26%4212832.81%143102205467534
3Penguins10100000010-1010100000010-100000000000000.00000000117211571788628617419000%3166.67%010522147.51%9526236.26%4212832.81%143102205467534
4Roadrunners10100000111-1010100000111-100000000000000.000123001172126717886261206163133.33%3166.67%010522147.51%9526236.26%4212832.81%143102205467534
5Thunderbirds10001000651000000000001000100065121.0006101600117212771788622988255120.00%4325.00%010522147.51%9526236.26%4212832.81%143102205467534
6Wild1010000013-2000000000001010000013-200.00012300117213671788623344317114.29%2150.00%010522147.51%9526236.26%4212832.81%143102205467534
7Wolf Pack11000000422110000004220000000000021.0004711001172137717886231131011400.00%50100.00%010522147.51%9526236.26%4212832.81%143102205467534
Total724010002143-22523000001435-212010100078-160.42921396000117212377178862349954014421314.29%21861.90%010522147.51%9526236.26%4212832.81%143102205467534
_Since Last GM Reset724010002143-22523000001435-212010100078-160.42921396000117212377178862349954014421314.29%21861.90%010522147.51%9526236.26%4212832.81%143102205467534
_Vs Conference422000001324-11422000001324-110000000000040.50013253800117211487178862226632272600.00%12375.00%010522147.51%9526236.26%4212832.81%143102205467534
_Vs Division21100000412-821100000412-80000000000020.50047110011721527178862117301430400.00%8187.50%010522147.51%9526236.26%4212832.81%143102205467534

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1213960237349954014400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72410002143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001435
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
201100078
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21314.29%21861.90%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
717886211721
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
10522147.51%9526236.26%4212832.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
143102205467534


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 - 2026-10-0110Americans11Monsters0LSommaire du match
5 - 2026-10-0326Roadrunners11Monsters1LSommaire du match
11 - 2026-10-0967Penguins10Monsters0LSommaire du match
12 - 2026-10-1082Monsters6Thunderbirds5WXSommaire du match
15 - 2026-10-13104Checkers1Monsters9WSommaire du match
19 - 2026-10-17129Wolf Pack2Monsters4WSommaire du match
20 - 2026-10-18136Monsters1Wild3LSommaire du match
22 - 2026-10-20142Marlies-Monsters-
26 - 2026-10-24178Silver Knights-Monsters-
29 - 2026-10-27196Monsters-Phantoms-
31 - 2026-10-29209Monsters-Wolves-
33 - 2026-10-31224Monsters-Stars-
36 - 2026-11-03244Eagles-Monsters-
38 - 2026-11-05259Stars-Monsters-
39 - 2026-11-06264Monsters-Americans-
43 - 2026-11-10292Checkers-Monsters-
45 - 2026-11-12301Crunch-Monsters-
47 - 2026-11-14314Phantoms-Monsters-
50 - 2026-11-17340Monsters-Sound Tigers-
52 - 2026-11-19351Monsters-IceHogs-
53 - 2026-11-20362Monsters-Marlies-
55 - 2026-11-22379Monsters-Comets-
57 - 2026-11-24388Comets-Monsters-
58 - 2026-11-25409Griffins-Monsters-
61 - 2026-11-28433Monsters-Penguins-
64 - 2026-12-01451Monsters-Wolves-
66 - 2026-12-03464Monsters-Admirals-
68 - 2026-12-05485Monsters-Crunch-
71 - 2026-12-08499Wild-Monsters-
73 - 2026-12-10523Rocket-Monsters-
74 - 2026-12-11528Monsters-Wolf Pack-
76 - 2026-12-13537Wolves-Monsters-
78 - 2026-12-15556Firebirds-Monsters-
80 - 2026-12-17574Reign-Monsters-
82 - 2026-12-19588Monsters-Phantoms-
83 - 2026-12-20597Rocket-Monsters-
84 - 2026-12-21609Monsters-Bears-
85 - 2026-12-22613Condors-Monsters-
87 - 2026-12-24630Monsters-Rocket-
89 - 2026-12-26643Bears-Monsters-
91 - 2026-12-28655Bruins-Monsters-
92 - 2026-12-29669Monsters-Wolf Pack-
94 - 2026-12-31683Wolf Pack-Monsters-
96 - 2027-01-02702Monsters-Comets-
97 - 2027-01-03705Americans-Monsters-
101 - 2027-01-07734Monsters-Heat-
104 - 2027-01-10755Monsters-Condors-
105 - 2027-01-11767Monsters-Canucks-
107 - 2027-01-13778Monsters-Firebirds-
110 - 2027-01-16801Heat-Monsters-
112 - 2027-01-18814Monsters-Senators-
113 - 2027-01-19826Gulls-Monsters-
115 - 2027-01-21843Monsters-Bruins-
117 - 2027-01-23853Moose-Monsters-
119 - 2027-01-25876Griffins-Monsters-
124 - 2027-01-30895Monsters-Marlies-
125 - 2027-01-31898Monsters-Senators-
127 - 2027-02-02905Senators-Monsters-
129 - 2027-02-04916Monsters-Bruins-
131 - 2027-02-06936Monsters-Eagles-
133 - 2027-02-08947Monsters-Roadrunners-
134 - 2027-02-09960Monsters-Silver Knights-
136 - 2027-02-11969Admirals-Monsters-
138 - 2027-02-13986Sound Tigers-Monsters-
142 - 2027-02-171014Comets-Monsters-
143 - 2027-02-181029Sound Tigers-Monsters-
145 - 2027-02-201037Wolves-Monsters-
147 - 2027-02-221050Monsters-Barracuda-
149 - 2027-02-241066Monsters-Reign-
151 - 2027-02-261082Monsters-Gulls-
155 - 2027-03-021107Canucks-Monsters-
157 - 2027-03-041132Barracuda-Monsters-
160 - 2027-03-071149Penguins-Monsters-
162 - 2027-03-091161Monsters-Griffins-
164 - 2027-03-111184Monsters-Moose-
166 - 2027-03-131195Monsters-Penguins-
169 - 2027-03-161223IceHogs-Monsters-
171 - 2027-03-181229Thunderbirds-Monsters-
174 - 2027-03-211254Monsters-Checkers-
176 - 2027-03-231269Monsters-Crunch-
178 - 2027-03-251281Monsters-Bears-
181 - 2027-03-281303Bears-Monsters-
183 - 2027-03-301324Phantoms-Monsters-
185 - 2027-04-011332Monsters-Sound Tigers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance13,3419,418
Assistance PCT88.94%94.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 4552 - 91.04% 138,640$693,201$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
279,871$ 2,062,500$ 2,062,500$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 223,129$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,991,047$ 164 13,851$ 2,271,564$




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