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Cleveland Monsters
GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 15 | GA: 10 | PP%: 42.86% | PK%: 100.00%
DG: | Morale : 57 | Moyenne d’équipe : 57
Prochains matchs #74 vs Hartford Wolf Pack

Centre de jeu
Hershey Bears
2-1-1, 5pts
2
FINAL
3 Cleveland Monsters
4-0-0, 8pts
Team Stats
L1SéquenceW4
1-1-0Fiche domicile2-0-0
1-0-1Fiche domicile2-0-0
2-1-1Derniers 10 matchs4-0-0
3.75Buts par match 3.75
3.50Buts contre par match 2.50
12.50%Pourcentage en avantage numérique42.86%
33.33%Pourcentage en désavantage numérique100.00%
Laval Rocket
0-3-0, 0pts
2
FINAL
3 Cleveland Monsters
4-0-0, 8pts
Team Stats
L3SéquenceW4
0-2-0Fiche domicile2-0-0
0-1-0Fiche domicile2-0-0
0-3-0Derniers 10 matchs4-0-0
1.33Buts par match 3.75
3.00Buts contre par match 2.50
0.00%Pourcentage en avantage numérique42.86%
66.67%Pourcentage en désavantage numérique100.00%
Hartford Wolf Pack
3-1-0, 6pts
Jour 7
Cleveland Monsters
4-0-0, 8pts
Statistiques d’équipe
W3SéquenceW4
1-0-0Fiche domicile2-0-0
2-1-0Fiche visiteur2-0-0
3-1-010 derniers matchs4-0-0
3.25Buts par match 3.75
3.00Buts contre par match 3.75
0.00%Pourcentage en avantage numérique42.86%
100.00%Pourcentage en désavantage numérique100.00%
Henderson Silver Knights
1-1-1, 3pts
Jour 10
Cleveland Monsters
4-0-0, 8pts
Statistiques d’équipe
W1SéquenceW4
1-1-0Fiche domicile2-0-0
0-0-1Fiche visiteur2-0-0
1-1-110 derniers matchs4-0-0
3.00Buts par match 3.75
3.33Buts contre par match 3.75
50.00%Pourcentage en avantage numérique42.86%
0%Pourcentage en désavantage numérique100.00%
Cleveland Monsters
4-0-0, 8pts
Jour 11
Iowa Wild
2-1-0, 4pts
Statistiques d’équipe
W4SéquenceL1
2-0-0Fiche domicile1-1-0
2-0-0Fiche visiteur1-0-0
4-0-010 derniers matchs2-1-0
3.75Buts par match 2.33
2.50Buts contre par match 2.33
42.86%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique73.33%
Meneurs d'équipe
Buts
Bear Hughes
4
Passes
Milos Kelemen
3
Points
Bear Hughes
6
Plus/Moins
Simon Lundmark
5
Victoires
Louis Domingue
4
Pourcentage d’arrêts
Louis Domingue
0.918

Statistiques d’équipe
Buts pour
15
3.75 GFG
Tirs pour
129
32.25 Avg
Pourcentage en avantage numérique
42.9%
3 GF
Début de zone offensive
35.3%
Buts contre
10
2.50 GAA
Tirs contre
122
30.50 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur général
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 65
Espoirs34


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
1Tanner Laczynski0X100.00515569676354685761476163485656063590274775,000$
2Spencer Smallman0XX100.00435859496547625948616455406060063580284775,000$
3Mikael Pyyhtia (R)0X100.00443599776176605455524758644559063580232897,500$
4Milos Kelemen (R)0X100.00533599758064605055514757624858062580251775,000$
5Brandon Biro (R)0X100.00403599786271605055416050675263063570273775,000$
6Bear Hughes (R)0X100.00387849615560486551536454424545065560231775,000$
7Keean Washkurak (R)0X100.00725552456757525240675661404545063560231775,000$
8Johan Sodergran (R)0XXX100.004078496566506360474365475848480675502511,000,000$
9Mikey Milne (R)0X100.00555555555555555555555555555555066550221861,667$
10Samuel Laberge0X100.00473599718254605055414153605657063550273925,000$
11Arttu Ruotsalainen0X100.006435605471646058654656505056560635502711,500,000$
12Trevor Kuntar (R)0X100.00555849496955456541424765564545063540232867,500$
13Maksim Sushko (R)0X100.00737351506453496163415954534848060540261775,000$
14Paul Ludwinski (R)0X100.00726468586558586359584241444545064540205900,000$
15Tyler Angle (R)0X100.00583599746865605055414151604556063540241850,333$
16Riley Kidney (R)0X100.00486653525954636256514552424545063530224836,667$
17Topias Vilen (R)0X100.00533558676460625341436769494545063600224836,667$
18Derrick Pouliot0X100.00423599777374605040413850496872063590313775,000$
19Artem Grushnikov (R)0X100.00583752685857595960485065554545064590224814,167$
20Evan Nause (R)0X100.00743959516056536354454067484545063580223864,167$
21Veeti Vainio0X100.00555555555555555555556555555555063560273775,000$
22Matthew Hellickson (R)0X100.00565747616256485847466653535252065560271800,000$
23Alex Cotton (R)0X100.005872695756615266504853495752520615502611,000,000$
24Simon Lundmark (R)0X100.00595567636558465763624949524545063550242775,000$
25Mattias Norlinder (R)0X100.00745260486354546761436547494545063550244775,000$
Rayé
1Jakub Brebenec (R)0X100.00398061555261646057495540584545051520214828,333$
2Andre Lee (R)0X100.00525266696146605058414053554545051510244775,000$
3Daniel Zhilkin (R)0X100.00414868455857515942435245454545051500214831,667$
MOYENNE D’ÉQUIPE100.0054526761645857575348535452495106256
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
1Louis Domingue099.0081657292777581818478687450063770332775,000$
2Antoine Bibeau0100.0071666567676567646567655952064650302775,000$
Rayé
1Keith Kinkaid0100.0065506861525653545158615149053550353775,000$
MOYENNE D’ÉQUIPE99.677260687365656766676865615006066
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
1Bear HughesCleveland Monsters (CBJ)C4426-11210691331130.77%27418.5720224000002145.28%5320001.6200002200
2Johan SodergranCleveland Monsters (CBJ)C/LW/RW43140101057150620.00%26616.55000000000001100.00%213001.2100101010
3Milos KelemenCleveland Monsters (CBJ)LW41341005316296.25%19423.6501104011080070.00%1024000.8500000000
4Derrick PouliotCleveland Monsters (CBJ)D4033-100042020%47619.060000300007000%015000.7900000000
5Alex CottonCleveland Monsters (CBJ)D4123034205212348.33%68822.210220400000000%042000.6800121000
6Maksim SushkoCleveland Monsters (CBJ)RW4213-35510881425.00%07017.661011300000110%101000.8500010100
7Paul LudwinskiCleveland Monsters (CBJ)C4033255320020%0225.5000003000020040.00%1000002.7300001000
8Artem GrushnikovCleveland Monsters (CBJ)D4022-155155330%58320.890000100005000%015000.4800001000
9Tanner LaczynskiCleveland Monsters (CBJ)C42021007794222.22%05012.5500000000001040.00%2520000.8000000002
10Simon LundmarkCleveland Monsters (CBJ)D4022500111010%2338.310000200009000%001001.2000000000
11Arttu RuotsalainenCleveland Monsters (CBJ)C411210061111749.09%38220.6000000000000052.25%11122000.4900000000
12Veeti VainioCleveland Monsters (CBJ)D4011112103175170%58020.090000000001000%044000.2500110000
13Brandon BiroCleveland Monsters (CBJ)LW40110001810430%16917.4101113000030050.00%661000.2900000000
14Samuel LabergeCleveland Monsters (CBJ)LW410100021041225.00%67017.7300004101180057.89%1924000.2800000000
15Spencer SmallmanCleveland Monsters (CBJ)C/LW4000000000000%0102.530000000002000%01000000000000
16Mikey MilneCleveland Monsters (CBJ)LW400022153616690%16817.0600000000000066.67%34200000100000
17Mikael PyyhtiaCleveland Monsters (CBJ)LW4000000000000%000.070000000000000%00000000000000
18Riley KidneyCleveland Monsters (CBJ)C4000000000000%000.040000000000000%00000000000000
19Topias VilenCleveland Monsters (CBJ)D4000000000000%010.290000000000000%00000000000000
20Trevor KuntarCleveland Monsters (CBJ)C4000100120000%1266.50000000000300100.00%20000000000000
21Evan NauseCleveland Monsters (CBJ)D4000-100732000%35413.650000000000000%00100000000000
22Matthew HellicksonCleveland Monsters (CBJ)D4000-21010430210%66616.700000400006000%01200000002000
Statistiques d’équipe totales ou en moyenne8815223751148070108129377011.63%48119013.533474421121604350.83%2423337000.6200448312
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
1Louis DomingueCleveland Monsters (CBJ)44000.9182.49241201012254100040101
Statistiques d’équipe totales ou en moyenne44000.9182.4924120101225410040101


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
Alex CottonCleveland Monsters (CBJ)D261998-06-08CANYes180 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Andre LeeCleveland Monsters (CBJ)LW242000-07-06SWEYes206 Lbs6 ft5NoNoN/ANoNo42025-03-16FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Antoine BibeauCleveland Monsters (CBJ)G301994-05-01CANNo205 Lbs6 ft3NoNoFree AgentNoNo22024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Artem GrushnikovCleveland Monsters (CBJ)D222003-03-20RUSYes180 Lbs6 ft2NoNoProspectNoNo42024-01-20FalseFalsePro & Farm814,167$0$0$No814,167$814,167$814,167$------814,167$814,167$814,167$------NoNoNo------
Arttu RuotsalainenCleveland Monsters (CBJ)C271997-10-29FINNo187 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Bear HughesCleveland Monsters (CBJ)C232001-05-30USAYes172 Lbs6 ft2NoNoProspectNoNo12024-07-28FalseFalsePro & Farm775,000$0$0$No---------------------------
Brandon BiroCleveland Monsters (CBJ)LW271998-03-11CANYes170 Lbs5 ft11NoNoDraftNoNo32024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Daniel ZhilkinCleveland Monsters (CBJ)C212003-12-19RUSYes185 Lbs6 ft3NoNoProspectNoNo42024-01-20FalseFalsePro & Farm831,667$0$0$No831,667$831,667$831,667$------831,667$831,667$831,667$------NoNoNo------
Derrick PouliotCleveland Monsters (CBJ)D311994-01-16CANNo196 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Evan NauseCleveland Monsters (CBJ)D222003-01-20CANYes186 Lbs6 ft2NoNoProspectNoNo32024-07-28FalseFalsePro & Farm864,167$0$0$No864,167$864,167$-------864,167$864,167$-------NoNo-------
Jakub BrebenecCleveland Monsters (CBJ)C212003-09-11CZEYes154 Lbs6 ft0NoNoProspectNoNo42024-01-20FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$------828,333$828,333$828,333$------NoNoNo------
Johan SodergranCleveland Monsters (CBJ)C/LW/RW251999-11-20SWEYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Keean WashkurakCleveland Monsters (CBJ)C232001-08-16CANYes188 Lbs5 ft10NoNoN/ANoNo12025-03-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Keith KinkaidCleveland Monsters (CBJ)G351989-07-04USANo191 Lbs6 ft2NoNoAssign ManuallyNoNo32024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Louis DomingueCleveland Monsters (CBJ)G331992-03-06CANNo208 Lbs6 ft3NoNoFree AgentNoNo22024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Maksim SushkoCleveland Monsters (CBJ)RW261999-02-10BLRYes188 Lbs6 ft0NoNoN/ANoNo12025-03-16FalseFalsePro & Farm775,000$0$0$No---------------------------
Matthew HellicksonCleveland Monsters (CBJ)D271998-03-21USAYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mattias NorlinderCleveland Monsters (CBJ)D242000-04-12SWEYes185 Lbs6 ft0NoNoFree Agent2024-07-29NoNo42025-03-29FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW232001-12-17FINYes166 Lbs6 ft0NoNoProspectNoNo22024-01-20FalseFalsePro & Farm897,500$0$0$No897,500$--------897,500$--------No--------
Mikey MilneCleveland Monsters (CBJ)LW222002-09-21CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm861,667$0$0$No---------------------------
Milos KelemenCleveland Monsters (CBJ)LW251999-07-06SVKYes210 Lbs6 ft2NoNoDraftNoNo12025-03-16FalseFalsePro & Farm775,000$0$0$No---------------------------
Paul LudwinskiCleveland Monsters (CBJ)C202004-04-23CANYes187 Lbs5 ft11NoNoProspectNoNo52024-07-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----
Riley KidneyCleveland Monsters (CBJ)C222003-03-25CANYes175 Lbs6 ft0NoNoProspectNoNo42024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$------836,667$836,667$836,667$------NoNoNo------
Samuel LabergeCleveland Monsters (CBJ)LW271997-04-10CANNo206 Lbs6 ft2NoNoDraftNoNo32024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Simon LundmarkCleveland Monsters (CBJ)D242000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo22025-03-16FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Spencer SmallmanCleveland Monsters (CBJ)C/LW281996-09-03SweNo198 Lbs6 ft1NoNoFree AgentNoNo42025-03-29FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Tanner LaczynskiCleveland Monsters (CBJ)C271997-06-01USANo190 Lbs6 ft1NoNoFree Agent2024-08-08NoNo42025-03-29FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien / Lien NHL
Topias VilenCleveland Monsters (CBJ)D222003-04-01FINYes194 Lbs6 ft1NoNoProspectNoNo42024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$------836,667$836,667$836,667$------NoNoNo------
Trevor KuntarCleveland Monsters (CBJ)C232001-06-20USAYes205 Lbs6 ft0NoNoProspectNoNo22024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------
Tyler AngleCleveland Monsters (CBJ)C242000-09-30CANYes166 Lbs5 ft10NoNoN/ANoNo12025-03-16FalseFalsePro & Farm850,333$0$0$No---------------------------Lien
Veeti VainioCleveland Monsters (CBJ)D271997-06-16FINNo181 Lbs6 ft2NoNoAssign ManuallyNoNo32024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.19188 Lbs6 ft12.55846,409$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikey MilneArttu RuotsalainenMilos Kelemen40122
2Johan SodergranBear HughesMaksim Sushko30122
3Brandon BiroTanner LaczynskiSamuel Laberge20122
4Brandon BiroArttu RuotsalainenMilos Kelemen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Veeti VainioAlex Cotton40122
2Derrick PouliotArtem Grushnikov30122
3Evan NauseMatthew Hellickson20122
4Artem GrushnikovAlex Cotton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel LabergeBear HughesMilos Kelemen60122
2Paul LudwinskiBrandon BiroMaksim Sushko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex CottonMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel LabergeMilos Kelemen60122
2Brandon BiroTrevor Kuntar40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon LundmarkMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Milos Kelemen60122Veeti VainioMatthew Hellickson60122
2Brandon Biro40122Derrick PouliotArtem Grushnikov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Samuel LabergeMilos Kelemen60122
2Brandon BiroPaul Ludwinski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan NauseMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon BiroBear HughesMilos KelemenArtem GrushnikovDerrick Pouliot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon BiroBear HughesMilos KelemenArtem GrushnikovDerrick Pouliot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Laberge, Trevor Kuntar, Paul LudwinskiSamuel Laberge, Trevor KuntarPaul Ludwinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Lundmark, Artem Grushnikov, Matthew HellicksonSimon LundmarkDerrick Pouliot, Matthew Hellickson
Tirs de pénalité
Samuel Laberge, Trevor Kuntar, Brandon Biro, Bear Hughes, Milos Kelemen
Gardien
#1 : Louis Domingue, #2 : Antoine Bibeau
Lignes d’attaque personnalisées en prolongation
Paul Ludwinski, Bear Hughes, Brandon Biro, Johan Sodergran, Maksim Sushko, Milos Kelemen, Trevor Kuntar, Tanner Laczynski, Samuel Laberge, Arttu Ruotsalainen
Lignes de défense personnalisées en prolongation
Alex Cotton, Simon Lundmark, Derrick Pouliot, Artem Grushnikov, Matthew Hellickson


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
1Hershey Bears10001000321100010003210000000000021.00034700067219225248725848183133.33%40100.00%0378245.12%569360.22%305752.63%753376408945
2Laval Rocket11000000321110000003210000000000021.00035800067230225248741113218100.00%10100.00%0378245.12%569360.22%305752.63%753376408945
3San Jose Barracuda11000000752000000000001100000075221.000711180006724022524872919161711100.00%30100.00%1378245.12%569360.22%305752.63%753376408945
4Utica Comets10001000211000000000001000100021121.000224000672402252487271020172150.00%000%0378245.12%569360.22%305752.63%753376408945
Total4200200015105210010006422100100096381.000152237000672129225248712248116707342.86%80100.00%1378245.12%569360.22%305752.63%753376408945
_Since Last GM Reset4200200015105210010006422100100096381.000152237000672129225248712248116707342.86%80100.00%1378245.12%569360.22%305752.63%753376408945
_Vs Conference310020001284100010003212100100096361.000121729000672992252487813784526350.00%70100.00%1378245.12%569360.22%305752.63%753376408945
_Vs Division20001000532100000003211000100021120.5005611000672592252487521868355240.00%40100.00%0378245.12%569360.22%305752.63%753376408945

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
48W4152237129122481167000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42020001510
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210100064
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210100096
Derniers 10 matchs
WLOTWOTL SOWSOL
400000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7342.86%80100.00%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
22524870672
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
378245.12%569360.22%305752.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
753376408945


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
13Cleveland Monsters7San Jose Barracuda5WSommaire du match
216Cleveland Monsters2Utica Comets1WXSommaire du match
329Hershey Bears2Cleveland Monsters3WXSommaire du match
553Laval Rocket2Cleveland Monsters3WSommaire du match
774Hartford Wolf Pack-Cleveland Monsters-
10103Henderson Silver Knights-Cleveland Monsters-
11111Cleveland Monsters-Iowa Wild-
13133Hershey Bears-Cleveland Monsters-
15152Cleveland Monsters-Belleville Senators-
16165Cleveland Monsters-Bridgeport Sound Tigers-
17176Laval Rocket-Cleveland Monsters-
19195Utica Comets-Cleveland Monsters-
20208Cleveland Monsters-San Jose Barracuda-
21226Cleveland Monsters-Texas Stars-
23238Hartford Wolf Pack-Cleveland Monsters-
24258Bridgeport Sound Tigers-Cleveland Monsters-
25269Cleveland Monsters-Hershey Bears-
28292Lehigh Valley Phantoms-Cleveland Monsters-
29312Cleveland Monsters-Abbotsford Canucks-
30327Manitoba Moose-Cleveland Monsters-
32345Cleveland Monsters-Springfield Thunderbirds-
33358Utica Comets-Cleveland Monsters-
34375Cleveland Monsters-Calgary Wranglers-
35391San Jose Barracuda-Cleveland Monsters-
37409Cleveland Monsters-Belleville Senators-
38422Cleveland Monsters-Bridgeport Sound Tigers-
39429Charlotte Checkers-Cleveland Monsters-
41455Syracuse Crunch-Cleveland Monsters-
43472Cleveland Monsters-Lehigh Valley Phantoms-
44488Providence Bruins-Cleveland Monsters-
46503Cleveland Monsters-Colorado Eagles-
47520Tuscon Roadrunners-Cleveland Monsters-
49539Cleveland Monsters-Henderson Silver Knights-
50551Grand Rapids Griffins-Cleveland Monsters-
52578Laval Rocket-Cleveland Monsters-
54592Cleveland Monsters-Manitoba Moose-
55608Hartford Wolf Pack-Cleveland Monsters-
56619Cleveland Monsters-Iowa Wild-
58638Cleveland Monsters-Lehigh Valley Phantoms-
59647Belleville Senators-Cleveland Monsters-
62675Syracuse Crunch-Cleveland Monsters-
64695Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
65704Cleveland Monsters-Providence Bruins-
66718Bakersfield Condors-Cleveland Monsters-
67736Manitoba Moose-Cleveland Monsters-
70762Cleveland Monsters-Hartford Wolf Pack-
71771Iowa Wild-Cleveland Monsters-
72787Cleveland Monsters-Grand Rapids Griffins-
74805Bridgeport Sound Tigers-Cleveland Monsters-
75820Cleveland Monsters-Laval Rocket-
76831Cleveland Monsters-Ontario Reign-
77841Chicago Wolves-Cleveland Monsters-
80868Henderson Silver Knights-Cleveland Monsters-
82895Hershey Bears-Cleveland Monsters-
84914Cleveland Monsters-Rockford IceHogs-
85927Laval Rocket-Cleveland Monsters-
86936Cleveland Monsters-Milwaukee Admirals-
89963Abbotsford Canucks-Cleveland Monsters-
91985Cleveland Monsters-Hartford Wolf Pack-
92995San Diego Gulls-Cleveland Monsters-
931014Cleveland Monsters-Chicago Wolves-
951027Hershey Bears-Cleveland Monsters-
961035Cleveland Monsters-Manitoba Moose-
971051Cleveland Monsters-Chicago Wolves-
981060Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
1001083Cleveland Monsters-Utica Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1011093Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
1031111Cleveland Monsters-San Diego Gulls-
1041123San Diego Gulls-Cleveland Monsters-
1071154Rochester Americans-Cleveland Monsters-
1081162Cleveland Monsters-Syracuse Crunch-
1111186Toronto Marlies-Cleveland Monsters-
1121199Cleveland Monsters-Syracuse Crunch-
1131205Cleveland Monsters-San Jose Barracuda-
1141219Toronto Marlies-Cleveland Monsters-
1171247Cleveland Monsters-Utica Comets-
1181252Ontario Reign-Cleveland Monsters-
1191253Cleveland Monsters-Coachella Valley Firebirds-
1201256Cleveland Monsters-Texas Stars-
1221283Cleveland Monsters-Rockford IceHogs-
1231290Cleveland Monsters-Tuscon Roadrunners-
1251307Ontario Reign-Cleveland Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets6040
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
102,495$ 2,623,868$ 2,623,868$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,499$ 102,495$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 20,499$ 2,521,377$




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