Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Pascal Simoneau | Morale : 75 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralPascal Simoneau
EntraîneurBenoit Groulx
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure21
Limite contact 57 / 80
Espoirs68


Historique d'équipe

Saison actuelle0-0
Historique28-49-7 (0.333%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)0-0
Stanley Cup0


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
SP
Âge
Contrat
Salaire
1Liam Foudy (R)0X100.00623593767982807377696268726366075670213925,000$
2Tyler Graovac0X100.00653989639183776478626963687567075650281700,000$
3Philip Tomasino (R)0X100.00624383697285826872676663736162075650203925,000$
4Mitchell Stephens0X100.00723593657086806377646260636764075640242750,000$
5Devante Smith-Pelly0X100.007367895880768561535957635277690756302916,000,000$
6Brian Gibbons0X100.00553592656375776267646163598273075630332900,000$
7Garrett Wilson0XX100.00776971568778835659585660567873075620302900,000$
8Kevin Lynch0X100.00664878577586915663585659567870075610301700,000$
9Turner Elson0X100.00645174587383885762605657597772075610293925,000$
10Matt Lorito0X100.00553985596481865861575856597771075600311900,000$
11Juuso Valimaki (R)0X100.00594183658386746930725971546567075650233925,000$
12Pierre-Olivier Joseph0X100.00743888717782786430685965526364075650222925,000$
13Cal Foote0X100.00755572659279866330645866526567075640231997,000$
14Jake Bean0X100.00563593717585846630725759526563075640231900,000$
15Steven Santini0X100.00813987628175726130635762497166075630262890,000$
16Gustav Lindstrom0X100.00764285627887736330655764506563075630232925,000$
17Logan Stanley0X100.007986715999878558306156634865630756302331,141,000$
18William Lagesson0X100.00633790628279786130655867496965075630251700,000$
Rayé
1Rasmus Asplund0XXX100.00593592737279836978666370686764075660241894,000$
2Alexander Holtz (R)0X100.00643593617372775852565759626163075600193925,000$
3Cliff Pu0X100.00693986587871765773605456586563075600232999,999$
4Tanner MacMaster0X100.00563470596578835860565763556965075600252700,000$
5Travis St. Denis0X100.00615865596183885864575953607769075600293925,000$
6Nathan Todd0X100.00613888577079775876595756597166075600262700,000$
7Ryan Dmowski0X100.00673986567963685452535755566764075590242700,000$
8Derek Hulak0X100.00624681557176695254535652548072075580322700,000$
9Lewis Zerter-Gossage0X100.00693593527875725355515456537166075580262700,000$
10Luke Evangelista (R)0X100.00573689556660655561595053575959075570193925,000$
11Devante Stephens0X100.00714879598071765730565458506764075600242700,000$
12Logan Roe0X100.00784879518760655130525057457870075580302700,000$
13Michael Kim0X100.00633784567277715430535055467166075580262700,000$
MOYENNE D’ÉQUIPE100.0066448461777878605261576056706607562
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
SP
Âge
Contrat
Salaire
1Ilya Samsonov100.0088799283878688878688876771075720241987,000$
2Charlie Lindgren100.0075807976747375747375747682075660283875,000$
Rayé
1Pat Nagle100.0071807874706971706971708488075640342700,000$
2Sean Bonar100.0072738172717072717072717884075640302700,000$
3Kevin Poulin100.0069717782686769686769687985075630312700,000$
MOYENNE D’ÉQUIPE100.007577817774737574737574778207566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76757379827769CAN5322,000,000$


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’équipe
POS
GP
G
A
P
+/-
PIM
PIM5
HIT
HTT
SHT
OSB
OSM
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PPM
PKG
PKA
PKP
PKS
PKM
GW
GT
FO%
FOT
GA
TA
EG
HT
P/20
PSG
PSS
FW
FL
FT
S1
S2
S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du gardien
Nom de l’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur
Nom de l’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Alexander HoltzMonsters (CBJ)RW191/23/2002Yes192 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Brian GibbonsMonsters (CBJ)C332/26/1988No175 Lbs5 ft8NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Cal FooteMonsters (CBJ)D2312/13/1998No221 Lbs6 ft4NoNoNo1Pro & Farm997,000$997,000$0$0$NoLien / Lien NHL
Charlie LindgrenMonsters (CBJ)G2812/18/1993No182 Lbs6 ft1NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$Lien / Lien NHL
Cliff PuMonsters (CBJ)RW236/3/1998No187 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Derek HulakMonsters (CBJ)LW329/2/1989No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Devante Smith-Pelly (contrat à 1 volet)Monsters (CBJ)RW296/14/1992No223 Lbs6 ft0NoNoNo1Pro & Farm6,000,000$6,000,000$6,000,000$0$NoLien
Devante StephensMonsters (CBJ)D241/2/1997No185 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Garrett WilsonMonsters (CBJ)LW/RW303/16/1991No218 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Gustav LindstromMonsters (CBJ)D2310/20/1998No190 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Ilya SamsonovMonsters (CBJ)G242/22/1997No200 Lbs6 ft3NoNoNo1Pro & Farm987,000$987,000$0$0$NoLien / Lien NHL
Jake BeanMonsters (CBJ)D236/9/1998No186 Lbs6 ft1NoNoNo1Pro & Farm900,000$700,000$0$0$NoLien / Lien NHL
Juuso ValimakiMonsters (CBJ)D2310/6/1998Yes212 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien
Kevin LynchMonsters (CBJ)C304/23/1991No190 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Kevin PoulinMonsters (CBJ)G314/12/1990No206 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Lewis Zerter-GossageMonsters (CBJ)RW265/23/1995No190 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Liam FoudyMonsters (CBJ)C212/4/2000Yes193 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Logan RoeMonsters (CBJ)D3012/29/1991No205 Lbs6 ft4NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Logan StanleyMonsters (CBJ)D235/26/1998No228 Lbs6 ft7NoNoNo3Pro & Farm1,141,000$1,141,000$0$0$No1,141,000$1,141,000$Lien / Lien NHL
Luke EvangelistaMonsters (CBJ)RW192/21/2002Yes166 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Matt LoritoMonsters (CBJ)RW317/3/1990No171 Lbs5 ft9NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Michael KimMonsters (CBJ)D266/28/1995No200 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Mitchell StephensMonsters (CBJ)C242/5/1997No190 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nathan ToddMonsters (CBJ)C2612/2/1995No176 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Pat NagleMonsters (CBJ)G349/21/1987No169 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Philip TomasinoMonsters (CBJ)RW207/28/2001Yes179 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Pierre-Olivier JosephMonsters (CBJ)D227/1/1999No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Rasmus AsplundMonsters (CBJ)C/LW/RW2412/3/1997No189 Lbs5 ft11NoNoNo1Pro & Farm894,000$894,000$0$0$NoLien / Lien NHL
Ryan DmowskiMonsters (CBJ)LW243/11/1997No209 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Sean BonarMonsters (CBJ)G302/12/1991No174 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Steven SantiniMonsters (CBJ)D263/7/1995No205 Lbs6 ft2NoNoNo2Pro & Farm890,000$890,000$0$0$No890,000$Lien / Lien NHL
Tanner MacMasterMonsters (CBJ)LW251/8/1996No171 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Travis St. DenisMonsters (CBJ)C299/17/1992No169 Lbs5 ft7NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Turner ElsonMonsters (CBJ)LW299/13/1992No195 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Tyler GraovacMonsters (CBJ)C284/27/1993No208 Lbs6 ft5NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
William LagessonMonsters (CBJ)D252/22/1996No207 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3626.03193 Lbs6 ft12.00979,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyPhilip Tomasino40113
2Garrett WilsonTyler GraovacDevante Smith-Pelly30113
3Turner Elson20122
4Mitchell StephensKevin Lynch10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FootePierre-Olivier Joseph42122
2Jake BeanJuuso Valimaki34122
3Gustav Lindstrom24122
4Juuso Valimaki0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoLiam Foudy60005
2Garrett WilsonTyler Graovac40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FootePierre-Olivier Joseph60122
2Jake BeanJuuso Valimaki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
2Tyler GraovacGarrett Wilson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephCal Foote60122
2Juuso ValimakiJake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mitchell Stephens6012260122
240122Jake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyPhilip Tomasino60122
2Tyler Graovac40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephCal Foote60122
2Jake BeanJuuso Valimaki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyPhilip TomasinoCal FootePierre-Olivier Joseph
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler GraovacJuuso ValimakiJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Garrett Wilson, Tyler Graovac, Philip TomasinoGarrett Wilson, Tyler GraovacGarrett Wilson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Gustav Lindstrom, Juuso Valimaki, Gustav Lindstrom
Tirs de pénalité
Liam Foudy, Philip Tomasino, , , Tyler Graovac
Gardien
#1 : Ilya Samsonov, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Liam Foudy, Philip Tomasino, Garrett Wilson, , , , , Tyler Graovac, Kevin Lynch, Turner Elson, Mitchell Stephens
Lignes de défense personnalisées en prolongation
Cal Foote, Pierre-Olivier Joseph, Juuso Valimaki, Jake Bean, Gustav Lindstrom


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
Total
Domicile
Visiteur
#
VS Équipe
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
P
PCT
G
A
TP
SO
EG
GP1
GP2
GP3
GP4
SHF
SH1
SP2
SP3
SP4
SHA
SHB
Pim
Hit
PPA
PPG
PP%
PKA
PK GA
PK%
PK GF
W OF FO
T OF FO
OF FO%
W DF FO
T DF FO
DF FO%
W NT FO
T NT FO
NT FO%
PZ DF
PZ OF
PZ NT
PC DF
PC OF
PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
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Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,925,900$ 2,643,400$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Monsters Leaders statistiques (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
1Cal Foote8413435629992378711211.61%92138216.454812210000300.00%10.8100
2Juuso Valimaki52124153103089838414.29%83119623.019817430001010.00%00.8900
3Liam Foudy2520244415123210412516.00%1057623.06105152902223258.54%01.5312
4Turner Elson82271643-113413113623811.34%2286810.60000000000055.56%00.9904
5Dylan Gambrell482020401062213618011.11%1282217.134592700001158.31%00.9701

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
1Ilya Samsonov83552530.9152.8949658223928020210.75929
2Sean Bonar57104040.8955.5929084027125700120.7508

Monsters Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
Année
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
P
G
A
TP
SO
EG
GP1
GP2
GP3
GP4
SHF
SH1
SP2
SP3
SP4
SHA
SHB
Pim
Hit
PPA
PPG
PP%
PKA
PK GA
PK%
PK GF
W OF FO
T OF FO
OF FO%
W DF FO
T DF FO
DF FO%
W NT FO
T NT FO
NT FO%
PZ DF
PZ OF
PZ NT
PC DF
PC OF
PC NT
Saison régulière
2382224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
Total Saison régulière82224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462

Monsters Leaders statistiques (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