Cleveland Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Evans | Morale : 50 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralEvans
DivisionDivision 2
ConférenceConference 1
CapitaineKyle Clifford
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 55
Espoirs14


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
1Nick Abruzzese0XX100.00777180626290887181706868565252685065N02741,320,000$
2Pontus Holmberg0XX100.007244886563668767566968712562626850640265950,000$
3Yegor Surin (R)0XX100.007875337672758372686668636749499250640191875,000$
4Kyle Clifford (C)0X100.007987356480736563515858685488921450630352850,000$
5Vinni Lettieri53XX100.007643866971546767505960692569694450610311930,000$
6Sheldon Rempal0X100.006558906559798464505768626453534750610303800,000$
7John Stevens0X100.006966816669706966716465635558582850610326795,000$
8Laurent Dauphin0X100.007351827070577860865056712569694250600313750,000$
9Matt Rempe0XX100.0096992575864366634758595825515174505902311,500,000$
10Jasper Weatherby28XX100.007574876584758155704957665450505950590283750,000$
11Greg McKegg34XX100.007069766270727857725749664673731750590334825,000$
12Theo Stockselius (R)0X100.006056667073708066665961576444449550590183925,000$
13Nick DeSimone0X100.007143956971637161255249692555553250610311750,000$
14Victor Mete0X100.006963907866545758254947663769696050610273700,000$
15Brogan Rafferty0X100.007670946572758056255345643952524750610302700,000$
16Tyler Wotherspoon0X100.0085827765757578512545426439555529506103311,000,000$
17Brian Lashoff0X100.007372866381515347253639703773741550590351775,000$
18Ole Julian Bjorgvik Holm (R)0X100.0082768470735658442534396337505074505602311,500,000$
Rayé
1Artyom Anisimov0X100.00726993687654565263474673449093150580371700,000$
2Tim Schaller0XX100.008078796377626554694753675072731550580351725,000$
3Alexander True0X100.007776826580606355675748664449496050570283770,000$
4Alexander Pashin (R)0XXX100.006153936955606056655354584548487650550232735,000$
5Cole Spicer (R)0XX100.004640997066657759646146464854549050550213925,000$
6Xavier Bernard (R)0X100.007574827081545643253040623854546550560262730,000$
7Josh Healey0X100.007177506576505342252939553754543050520315740,500$
MOYENNE D’ÉQUIPE100.00736777687264705852525364436060505059
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
1Joseph Woll0100.006658557866717972806775545558506702711,250,000$
2Jared Moe0100.00594761796775707477663059556450660264950,000$
Rayé
1Hunter Jones0100.006047597967787377796630494970506602521,999,000$
2Luke Cavallin (R)0100.00604759756476717578663048487650650244700,000$
3Peyton Jones0100.00594759806774687276663049495050650301900,000$
MOYENNE D’ÉQUIPE100.0061495978667572747866395251645066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis 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
Alexander PashinCleveland Monsters (CBJ)C/LW/RW232002-07-28RUSYes161 Lbs5 ft8NoNoAssign ManuallyNoNo22026-03-20FalseFalsePro & Farm735,000$0$0$No735,000$--------735,000$--------No--------Lien
Alexander TrueCleveland Monsters (CBJ)C281997-07-17DENNo207 Lbs6 ft5NoNoAssign ManuallyNoNo32026-03-20FalseFalsePro & Farm770,000$0$0$No770,000$770,000$-------770,000$770,000$-------NoNo-------Lien
Artyom AnisimovCleveland Monsters (CBJ)C371988-05-24RUSNo198 Lbs6 ft4NoNoAssign ManuallyNoNo12026-04-12FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Brian LashoffCleveland Monsters (CBJ)D351990-07-16USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12026-04-12FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Brogan RaffertyCleveland Monsters (CBJ)D301995-05-28USANo200 Lbs6 ft0NoNoAssign ManuallyNoNo22026-04-12FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Cole SpicerCleveland Monsters (CBJ)C/LW212004-06-13USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo32026-04-25FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Greg McKeggCleveland Monsters (CBJ)C/LW331992-06-17ONTNo193 Lbs6 ft0NoNoAssign ManuallyNoNo42026-03-20FalseFalsePro & Farm825,000$0$0$No825,000$825,000$825,000$------825,000$825,000$825,000$------NoNoNo------Lien
Hunter JonesCleveland Monsters (CBJ)G252000-09-21ONTNo206 Lbs6 ft4NoNoAssign ManuallyNoNo22025-01-15FalseFalsePro & Farm1,999,000$0$0$No1,999,000$--------1,999,000$--------No--------Lien
Jared MoeCleveland Monsters (CBJ)G261999-07-22USANo211 Lbs6 ft3NoNoTrade2025-02-10NoNo42024-12-29FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien
Jasper WeatherbyCleveland Monsters (CBJ)C/LW281998-01-22USANo219 Lbs6 ft4NoNoAssign ManuallyNoNo32026-03-20FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
John StevensCleveland Monsters (CBJ)C321994-04-17USANo187 Lbs6 ft2NoNoAssign ManuallyNoNo62026-04-12FalseFalsePro & Farm795,000$0$0$No795,000$795,000$795,000$795,000$795,000$----795,000$795,000$795,000$795,000$795,000$----NoNoNoNoNo----Lien
Joseph WollCleveland Monsters (CBJ)G271998-07-12USANo206 Lbs6 ft3NoNoAssign ManuallyNoNo12025-07-27FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien / Lien NHL
Josh HealeyCleveland Monsters (CBJ)D311994-07-12ABNo209 Lbs6 ft0NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm740,500$0$0$No740,500$740,500$740,500$740,500$-----740,500$740,500$740,500$740,500$-----NoNoNoNo-----Lien
Kyle CliffordCleveland Monsters (CBJ)LW351991-01-13ONTNo215 Lbs6 ft2NoNoAssign ManuallyNoNo22026-03-20FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Laurent DauphinCleveland Monsters (CBJ)C311995-03-27QUENo190 Lbs6 ft1NoNoAssign ManuallyNoNo32026-04-12FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Luke CavallinCleveland Monsters (CBJ)G242001-04-29GBRYes204 Lbs6 ft1NoNoAssign ManuallyNoNo42025-01-10FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Matt RempeCleveland Monsters (CBJ)C/RW232002-06-29ABNo215 Lbs6 ft8NoNoAssign ManuallyNoNo12026-04-06FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Nick AbruzzeseCleveland Monsters (CBJ)C/LW271999-04-06USANo178 Lbs5 ft10YesNoAssign ManuallyNoNo42026-03-20FalseFalsePro & Farm1,320,000$0$0$No1,320,000$1,320,000$1,320,000$------1,320,000$1,320,000$1,320,000$------YesYesYes------Lien
Nick DeSimoneCleveland Monsters (CBJ)D311994-11-21USANo191 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-12FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D232002-05-23NORYes197 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-06FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Peyton JonesCleveland Monsters (CBJ)G301996-02-14USANo210 Lbs6 ft4NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pontus HolmbergCleveland Monsters (CBJ)C/LW261999-09-03SWENo181 Lbs5 ft10NoNoAssign ManuallyNoNo52025-07-27FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----Lien
Sheldon RempalCleveland Monsters (CBJ)RW301995-08-07ABNo169 Lbs5 ft10NoNoAssign ManuallyNoNo32026-03-20FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Theo StockseliusCleveland Monsters (CBJ)LW182007-07-24SWEYes196 Lbs6 ft3NoNoAssign ManuallyNoNo32026-04-25FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Tim SchallerCleveland Monsters (CBJ)C/LW351990-11-16USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo12026-03-20FalseFalsePro & Farm725,000$0$0$No---------------------------Lien
Tyler WotherspoonCleveland Monsters (CBJ)D331993-03-12BCNo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-08-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Victor MeteCleveland Monsters (CBJ)D271998-06-07CANNo190 Lbs5 ft9NoNoAssign ManuallyNoNo32026-04-12FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Vinni LettieriCleveland Monsters (CBJ)C/RW311995-02-06USANo198 Lbs5 ft11NoNoAssign ManuallyNoNo12026-04-12FalseFalsePro & Farm930,000$0$0$No---------------------------Lien / Lien NHL
Xavier BernardCleveland Monsters (CBJ)D262000-01-06QUEYes214 Lbs6 ft3NoNoAssign ManuallyNoNo22026-03-20FalseFalsePro & Farm730,000$0$0$No730,000$--------730,000$--------No--------Lien
Yegor SurinCleveland Monsters (CBJ)C/LW192006-08-01RUSYes205 Lbs6 ft5NoNoAssign ManuallyNoNo12025-01-10FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.17199 Lbs6 ft22.47927,317$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Theo StockseliusJasper WeatherbySheldon Rempal30023
2Greg McKeggMatt RempeKyle Clifford30023
3John StevensNick AbruzzeseYegor Surin25221
4Pontus HolmbergYegor SurinNick Abruzzese15221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick DeSimoneVictor Mete30122
2Ole Julian Bjorgvik HolmBrogan Rafferty30122
3Tyler WotherspoonPontus Holmberg25122
4Nick DeSimoneVictor Mete15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick AbruzzeseKyle CliffordSheldon Rempal60122
2Yegor SurinPontus HolmbergJasper Weatherby40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonVictor Mete60122
2Nick DeSimoneOle Julian Bjorgvik Holm40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sheldon RempalKyle Clifford60122
2Nick AbruzzesePontus Holmberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonVictor Mete60122
2Nick DeSimoneOle Julian Bjorgvik Holm40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sheldon Rempal60122Nick DeSimoneTyler Wotherspoon60122
2Kyle Clifford40122Victor MeteOle Julian Bjorgvik Holm40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle CliffordSheldon Rempal60122
2Pontus HolmbergNick Abruzzese40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonNick DeSimone60122
2Victor MeteOle Julian Bjorgvik Holm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus HolmbergNick AbruzzeseSheldon RempalNick DeSimoneVictor Mete
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus HolmbergNick AbruzzeseSheldon RempalNick DeSimoneVictor Mete
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Clifford, Nick Abruzzese, Sheldon RempalKyle Clifford, Sheldon RempalSheldon Rempal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Wotherspoon, Victor Mete, Nick DeSimoneTyler WotherspoonNick DeSimone, Tyler Wotherspoon
Tirs de pénalité
Sheldon Rempal, Kyle Clifford, Pontus Holmberg, Yegor Surin, Matt Rempe
Gardien
#1 : Jared Moe, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Matt Rempe, Greg McKegg, Theo Stockselius, John Stevens, Jasper Weatherby, Nick Abruzzese, Yegor Surin, Pontus Holmberg, Kyle Clifford, Sheldon Rempal
Lignes de défense personnalisées en prolongation
Nick DeSimone, Victor Mete, Brogan Rafferty, Ole Julian Bjorgvik Holm, Tyler Wotherspoon


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%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%000%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%000%000%
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.
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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 27,819,500$ 27,019,500$ 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$ 6 0$ 0$




Cleveland 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

Cleveland 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

Cleveland 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

Cleveland 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

Cleveland 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