Connexion

Cleveland Monsters
GP: 20 | W: 14 | L: 4 | OTL: 2 | P: 30
GF: 83 | GA: 61 | PP%: 38.46% | PK%: 66.67%
DG: | Morale : 61 | Moyenne d’équipe : 56
Prochains matchs #329 vs Bakersfield Condors
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Centre de jeu
Bridgeport Sound Tigers
5-12-3, 13pts
5
FINAL
6 Cleveland Monsters
14-4-2, 30pts
Team Stats
OTL3SéquenceW5
3-6-1Fiche domicile6-2-2
2-6-2Fiche domicile8-2-0
1-6-3Derniers 10 matchs7-1-2
2.65Buts par match 4.15
3.75Buts contre par match 3.05
17.65%Pourcentage en avantage numérique38.46%
71.43%Pourcentage en désavantage numérique66.67%
Cleveland Monsters
14-4-2, 30pts
3
FINAL
1 Hartford Wolf Pack
11-8-2, 24pts
Team Stats
W5SéquenceL2
6-2-2Fiche domicile7-3-0
8-2-0Fiche domicile4-5-2
7-1-2Derniers 10 matchs5-4-1
4.15Buts par match 3.14
3.05Buts contre par match 3.38
38.46%Pourcentage en avantage numérique23.81%
66.67%Pourcentage en désavantage numérique74.07%
Cleveland Monsters
14-4-2, 30pts
Jour 33
Bakersfield Condors
4-14-1, 9pts
Statistiques d’équipe
W5SéquenceL5
6-2-2Fiche domicile3-6-1
8-2-0Fiche visiteur1-8-0
7-1-210 derniers matchs3-7-0
4.15Buts par match 2.84
3.05Buts contre par match 2.84
38.46%Pourcentage en avantage numérique24.00%
66.67%Pourcentage en désavantage numérique69.44%
Rochester Americans
8-11-1, 17pts
Jour 35
Cleveland Monsters
14-4-2, 30pts
Statistiques d’équipe
L1SéquenceW5
5-5-1Fiche domicile6-2-2
3-6-0Fiche visiteur8-2-0
5-4-110 derniers matchs7-1-2
2.85Buts par match 4.15
3.70Buts contre par match 4.15
24.00%Pourcentage en avantage numérique38.46%
69.70%Pourcentage en désavantage numérique66.67%
Cleveland Monsters
14-4-2, 30pts
Jour 36
Hershey Bears
11-7-3, 25pts
Statistiques d’équipe
W5SéquenceL1
6-2-2Fiche domicile5-2-3
8-2-0Fiche visiteur6-5-0
7-1-210 derniers matchs8-1-1
4.15Buts par match 3.05
3.05Buts contre par match 3.05
38.46%Pourcentage en avantage numérique37.93%
66.67%Pourcentage en désavantage numérique60.71%
Meneurs d'équipe
Buts
Milos Kelemen
15
Passes
Keean Washkurak
20
Points
Milos Kelemen
29
Plus/Moins
Brandon Biro
17
Victoires
Louis Domingue
14
Pourcentage d’arrêts
Louis Domingue
0.917

Statistiques d’équipe
Buts pour
83
4.15 GFG
Tirs pour
657
32.85 Avg
Pourcentage en avantage numérique
38.5%
10 GF
Début de zone offensive
34.8%
Buts contre
61
3.05 GAA
Tirs contre
723
36.15 Avg
Pourcentage en désavantage numérique
66.7%%
10 GA
Début de la zone défensive
38.6%
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 Pro29
Équipe Mineure19
Limite contact 48 / 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
1Mikael Pyyhtia (R)0X100.00443599776176605455524758644559071580223897,500$
2Milos Kelemen (R)0X100.00533599758064605055514757624858067580251775,000$
3Brandon Biro (R)0X100.00403599786271605055416050675263072570264775,000$
4Keean Washkurak (R)0X100.00725552456757525240675661404545070560231862,500$
5Johan Sodergran (R)0XXX100.004078496566506360474365475848480715502421,000,000$
6Mikey Milne (R)0X100.00555555555555555555555555555555069550222861,667$
7Jack Badini (R)0X100.00614569606563605450505054555350071550261805,000$
8Samuel Laberge (R)0X100.00473599718254605055414153605657068550274925,000$
9Arttu Ruotsalainen0X100.006435605471646058654656505056560695502621,500,000$
10Trevor Kuntar (R)0X100.00555849496955456541424765564545072540233867,500$
11Maksim Sushko (R)0X100.00737351506453496163415954534848068540251775,000$
12Paul Ludwinski (R)0X100.00726468586558586359584241444545071540206900,000$
13Tyler Angle (R)0X100.00583599746865605055414151604556071540241850,833$
14Riley Kidney (R)0X100.00486653525954636256514552424545071530215836,667$
15Jakub Brebenec (R)0X100.00398061555261646057495540584545071520215828,333$
16Andre Lee (R)0X100.00525266696146605058414053554545053510241883,750$
17Topias Vilen (R)0X100.00533558676460625341436769494545074600215836,667$
18Derrick Pouliot0X100.00423599777374605040413850496872071590304775,000$
19Artem Grushnikov (R)0X100.00583752685857595960485065554545071590215814,167$
20Evan Nause (R)0X100.00743959516056536354454067484545071580214864,167$
21Veeti Vainio0X100.00555555555555555555556555555555064560274775,000$
22Matthew Hellickson (R)0X100.00565747616256485847466653535252073560262800,000$
23Alex Cotton (R)0X100.005872695756615266504853495752520715502621,000,000$
24Simon Lundmark (R)0X100.00595567636558465763624949524545071550241850,833$
Rayé
1Bear Hughes (R)0X100.00387849615560486551536454424545056560232775,000$
2Daniel Zhilkin (R)0X100.00414868455857515942435245454545035500205831,667$
MOYENNE D’ÉQUIPE100.0054526761645956575348525453495106855
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 Domingue099.0081657292777581818478687450067770323775,000$
2Antoine Bibeau0100.0071666567676567646567655952076650303775,000$
Rayé
1Keith Kinkaid0100.0065506861525653545158615149045550354775,000$
MOYENNE D’ÉQUIPE99.677260687365656766676865615006366
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
1Milos KelemenCleveland Monsters (CBJ)LW201514297552136101295414.85%2448824.434267210000272241.10%732725021.1900001214
2Keean WashkurakCleveland Monsters (CBJ)C207202755430544250122014.00%1540220.11156220112270036.78%552220001.3400321122
3Brandon BiroCleveland Monsters (CBJ)LW20111526175571874254014.86%928614.31000001121114150.00%6287001.8200001221
4Johan SodergranCleveland Monsters (CBJ)C/LW/RW2012921312755213074214016.22%1237418.71213418000163155.17%292110011.1200335311
5Mikael PyyhtiaCleveland Monsters (CBJ)LW20791600021377220269.72%1539119.560111140000281040.00%152813010.8200000011
6Jack BadiniCleveland Monsters (CBJ)C20106161520263242122223.81%527113.5900000000002051.15%1311013001.1800000102
7Topias VilenCleveland Monsters (CBJ)D2021113-17515403519115.71%3446823.41202424000228200%0823000.5600100000
8Bear HughesCleveland Monsters (CBJ)C20851304735294059233613.56%633416.70101112000000144.84%223105000.7800025110
9Mikey MilneCleveland Monsters (CBJ)LW207411141410382145102015.56%832916.4900000000030022.22%957000.6700011101
10Dillon HeatheringtonColumbus Blue JacketsD10088-3195121413470%923623.61055313000010000%056000.6800100001
11Maksim SushkoCleveland Monsters (CBJ)RW203581473549301872416.67%834717.37011113000000027.78%18312000.4600331021
12Derrick PouliotCleveland Monsters (CBJ)D20066100001719630%637318.68000113000017000%0117000.3200000000
13Veeti VainioCleveland Monsters (CBJ)D2006623935251685100%2830315.190000000001000%0214000.4000142000
14Artem GrushnikovCleveland Monsters (CBJ)D2005510202431181240%2436418.22000011000015000%0212000.2700000000
15Samuel LabergeCleveland Monsters (CBJ)LW2014555551181412.50%31437.1801114000000029.27%4123000.7000010000
16Matthew HellicksonCleveland Monsters (CBJ)D200339342010124360%625912.9500000000014000%054000.2300112000
17Evan NauseCleveland Monsters (CBJ)D2002211401387540%1926713.3700001000006000%0013000.1500000000
18Trevor KuntarCleveland Monsters (CBJ)C20011-155401100%0522.6200002000000066.67%1200000.3800001000
19Simon LundmarkCleveland Monsters (CBJ)D20011220000010%0241.240000000000000%001000.8100000000
20Jakub BrebenecCleveland Monsters (CBJ)C20000100000000%030.190000000000000%00000000000000
21Riley KidneyCleveland Monsters (CBJ)C20000000000000%000.030000000000000%00000000000000
22Alex CottonCleveland Monsters (CBJ)D20000300411000%31226.140000000000000%00100000000000
23Arttu RuotsalainenCleveland Monsters (CBJ)C20000-12210978000%2894.4500000000000051.35%741000000011000
24Paul LudwinskiCleveland Monsters (CBJ)C20000-100520000%0321.62000000000100066.67%30000000000000
25Andre LeeCleveland Monsters (CBJ)LW10000000000000%010.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4808313421710844026039244565721533212.63%236596812.4310162625182224619014541.48%1186160206040.7300131821111014
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)2014410.9173.00116200586993654100200331
2Antoine BibeauCleveland Monsters (CBJ)10010.9132.864200223140000020000
Statistiques d’équipe totales ou en moyenne2114420.9172.99120500607223794102020331


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 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)D261998-06-08Yes180 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Andre LeeCleveland Monsters (CBJ)LW242000-07-06Yes206 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm883,750$0$0$No---------------------------Lien
Antoine BibeauCleveland Monsters (CBJ)G301994-05-01No205 Lbs6 ft3NoNoFree AgentNoNo32024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Artem GrushnikovCleveland Monsters (CBJ)D212003-03-20Yes180 Lbs6 ft2NoNoProspectNoNo52024-01-20FalseFalsePro & Farm814,167$0$0$No814,167$814,167$814,167$814,167$-----814,167$814,167$814,167$814,167$-----NoNoNoNo-----
Arttu RuotsalainenCleveland Monsters (CBJ)C261997-10-29No187 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Bear HughesCleveland Monsters (CBJ)C232001-05-30Yes172 Lbs6 ft2NoNoProspectNoNo22024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Brandon BiroCleveland Monsters (CBJ)LW261998-03-11Yes170 Lbs5 ft11NoNoDraftNoNo42024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Daniel ZhilkinCleveland Monsters (CBJ)C202003-12-19Yes185 Lbs6 ft3NoNoProspectNoNo52024-01-20FalseFalsePro & Farm831,667$0$0$No831,667$831,667$831,667$831,667$-----831,667$831,667$831,667$831,667$-----NoNoNoNo-----
Derrick PouliotCleveland Monsters (CBJ)D301994-01-16No196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Evan NauseCleveland Monsters (CBJ)D212003-01-20Yes186 Lbs6 ft2NoNoProspectNoNo42024-07-28FalseFalsePro & Farm864,167$0$0$No864,167$864,167$864,167$------864,167$864,167$864,167$------NoNoNo------
Jack BadiniCleveland Monsters (CBJ)C261998-01-19Yes203 Lbs6 ft0NoNoN/ANoNo12024-07-21FalseFalsePro & Farm805,000$0$0$No---------------------------
Jakub BrebenecCleveland Monsters (CBJ)C212003-09-11Yes154 Lbs6 ft0NoNoProspectNoNo52024-01-20FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$828,333$-----828,333$828,333$828,333$828,333$-----NoNoNoNo-----
Johan SodergranCleveland Monsters (CBJ)C/LW/RW241999-11-20Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Keean WashkurakCleveland Monsters (CBJ)C232001-08-16Yes188 Lbs5 ft10NoNoN/ANoNo12024-07-21FalseFalsePro & Farm862,500$0$0$No---------------------------Lien
Keith KinkaidCleveland Monsters (CBJ)G351989-07-04No191 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien / Lien NHL
Louis DomingueCleveland Monsters (CBJ)G321992-03-06No208 Lbs6 ft3NoNoFree AgentNoNo32024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Maksim SushkoCleveland Monsters (CBJ)RW251999-02-10Yes188 Lbs6 ft0NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------
Matthew HellicksonCleveland Monsters (CBJ)D261998-03-21Yes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW222001-12-17Yes166 Lbs6 ft0NoNoProspectNoNo32024-01-20FalseFalsePro & Farm897,500$0$0$No897,500$897,500$-------897,500$897,500$-------NoNo-------
Mikey MilneCleveland Monsters (CBJ)LW222002-09-21Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm861,667$0$0$No861,667$--------861,667$--------No--------
Milos KelemenCleveland Monsters (CBJ)LW251999-07-06Yes210 Lbs6 ft2NoNoDraftNoNo12024-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------
Paul LudwinskiCleveland Monsters (CBJ)C202004-04-23Yes187 Lbs5 ft11NoNoProspectNoNo62024-07-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----
Riley KidneyCleveland Monsters (CBJ)C212003-03-25Yes175 Lbs6 ft0NoNoProspectNoNo52024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$836,667$-----836,667$836,667$836,667$836,667$-----NoNoNoNo-----
Samuel LabergeCleveland Monsters (CBJ)LW271997-04-10Yes206 Lbs6 ft2NoNoDraftNoNo42024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Simon LundmarkCleveland Monsters (CBJ)D242000-10-08Yes201 Lbs6 ft2NoNoN/ANoNo12024-07-21FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Topias VilenCleveland Monsters (CBJ)D212003-04-01Yes194 Lbs6 ft1NoNoProspectNoNo52024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$836,667$-----836,667$836,667$836,667$836,667$-----NoNoNoNo-----
Trevor KuntarCleveland Monsters (CBJ)C232001-06-20Yes205 Lbs6 ft0NoNoProspectNoNo32024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Tyler AngleCleveland Monsters (CBJ)C242000-09-30Yes166 Lbs5 ft10NoNoN/ANoNo12024-07-21FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Veeti VainioCleveland Monsters (CBJ)D271997-06-16No181 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.66188 Lbs6 ft12.97861,767$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milos KelemenKeean WashkurakJohan Sodergran40122
2Mikael PyyhtiaMaksim Sushko30122
3Brandon BiroJack BadiniMikey Milne20122
4Mikey MilneArttu RuotsalainenMilos Kelemen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topias VilenVeeti Vainio40122
2Derrick PouliotArtem Grushnikov30122
3Evan NauseMatthew Hellickson20122
4Veeti VainioAlex Cotton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milos KelemenKeean WashkurakJohan Sodergran60122
2Mikael PyyhtiaMaksim Sushko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topias VilenEvan Nause60122
2Derrick PouliotArtem Grushnikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Milos KelemenMikael Pyyhtia60122
2Brandon BiroKeean Washkurak40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topias VilenMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Milos Kelemen60122Topias VilenMatthew Hellickson60122
2Mikael Pyyhtia40122Derrick PouliotArtem Grushnikov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Milos KelemenMikael Pyyhtia60122
2Brandon BiroKeean Washkurak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topias VilenEvan Nause60122
2Derrick PouliotArtem Grushnikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Milos KelemenKeean WashkurakJohan SodergranTopias VilenDerrick Pouliot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Milos KelemenKeean WashkurakJohan SodergranTopias VilenDerrick 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, Evan Nause, Matthew HellicksonSimon LundmarkEvan Nause, Matthew Hellickson
Tirs de pénalité
Milos Kelemen, Mikael Pyyhtia, Brandon Biro, Keean Washkurak,
Gardien
#1 : Louis Domingue, #2 : Antoine Bibeau
Lignes d’attaque personnalisées en prolongation
Milos Kelemen, Mikael Pyyhtia, Brandon Biro, Keean Washkurak, , Johan Sodergran, Johan Sodergran, Mikey Milne, Jack Badini, Samuel Laberge, Arttu Ruotsalainen
Lignes de défense personnalisées en prolongation
Topias Vilen, Veeti Vainio, Derrick Pouliot, Artem Grushnikov, Evan Nause


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
1Bridgeport Sound Tigers3200100017982100100012751100000052361.0001728450021293129718423023851223765634250.00%5260.00%015841038.54%19945543.74%13531343.13%369184443192393195
2Hartford Wolf Pack321000008711010000013-22200000074340.6678142200212931210618423023851093313576233.33%4175.00%115841038.54%19945543.74%13531343.13%369184443192393195
3Iowa Wild1100000015691100000015690000000000021.000152136002129312471842302385331071172150.00%3233.33%015841038.54%19945543.74%13531343.13%369184443192393195
4Lehigh Valley Phantoms1010000026-4000000000001010000026-400.00024600212931230184230238540136221200.00%10100.00%015841038.54%19945543.74%13531343.13%369184443192393195
5Manitoba Moose32100000871211000006601100000021140.667813211021293121031842302385106401362200.00%4175.00%115841038.54%19945543.74%13531343.13%369184443192393195
6Ontario Reign11000000422000000000001100000042221.0004711002129312361842302385309518100.00%000%015841038.54%19945543.74%13531343.13%369184443192393195
7Rockford IceHogs11000000422000000000001100000042221.00046100021293121818423023853414715200.00%10100.00%015841038.54%19945543.74%13531343.13%369184443192393195
8San Diego Gulls21001000862110000004311000100043141.000813210021293125818423023858124113911100.00%330.00%015841038.54%19945543.74%13531343.13%369184443192393195
9San Jose Barracuda1010000024-2000000000001010000024-200.0002350021293123018423023853611018000%000%015841038.54%19945543.74%13531343.13%369184443192393195
10Syracuse Crunch21000100770210001007700000000000030.75071219002129312701842302385651899412150.00%20100.00%015841038.54%19945543.74%13531343.13%369184443192393195
11Utica Comets210001008531000010023-11100000062430.75081321002129312621842302385672794414375.00%7185.71%015841038.54%19945543.74%13531343.13%369184443192393195
Total2012402200836122105201200473512107201000362610300.750831342171021293126571842302385723236440392261038.46%301066.67%215841038.54%19945543.74%13531343.13%369184443192393195
_Since Last GM Reset2012402200836122105201200473512107201000362610300.750831342171021293126571842302385723236440392261038.46%301066.67%215841038.54%19945543.74%13531343.13%369184443192393195
_Vs Conference181040220064531194201200322939620100032248260.72264107171102129312592184230238565621236236022940.91%26869.23%215841038.54%19945543.74%13531343.13%369184443192393195
_Vs Division961012003527842101200151325400000020146160.889355994002129312295184230238533811023418216743.75%17476.47%115841038.54%19945543.74%13531343.13%369184443192393195

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2030W58313421765772323644039210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2012422008361
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
105212004735
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107210003626
Derniers 10 matchs
WLOTWOTL SOWSOL
710200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
261038.46%301066.67%2
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
18423023852129312
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
15841038.54%19945543.74%13531343.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
369184443192393195


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
14Cleveland Monsters5Bridgeport Sound Tigers2WSommaire du match
324Manitoba Moose3Cleveland Monsters1LSommaire du match
544Syracuse Crunch1Cleveland Monsters2WSommaire du match
657Cleveland Monsters4Hartford Wolf Pack3WSommaire du match
873San Diego Gulls3Cleveland Monsters4WSommaire du match
982Cleveland Monsters2Manitoba Moose1WSommaire du match
1099Cleveland Monsters2San Jose Barracuda4LSommaire du match
12116Hartford Wolf Pack3Cleveland Monsters1LSommaire du match
15139Cleveland Monsters6Utica Comets2WSommaire du match
16150Manitoba Moose3Cleveland Monsters5WSommaire du match
18174Utica Comets3Cleveland Monsters2LXSommaire du match
20195Syracuse Crunch6Cleveland Monsters5LXSommaire du match
21202Cleveland Monsters4Ontario Reign2WSommaire du match
23220Cleveland Monsters4San Diego Gulls3WXSommaire du match
24236Cleveland Monsters2Lehigh Valley Phantoms6LSommaire du match
26248Bridgeport Sound Tigers2Cleveland Monsters6WSommaire du match
27267Iowa Wild6Cleveland Monsters15WSommaire du match
29288Cleveland Monsters4Rockford IceHogs2WSommaire du match
30299Bridgeport Sound Tigers5Cleveland Monsters6WXSommaire du match
32313Cleveland Monsters3Hartford Wolf Pack1WSommaire du match
33329Cleveland Monsters-Bakersfield Condors-
35343Rochester Americans-Cleveland Monsters-
36360Cleveland Monsters-Hershey Bears-
37375Colorado Eagles-Cleveland Monsters-
39393Cleveland Monsters-Bridgeport Sound Tigers-
40407Milwaukee Admirals-Cleveland Monsters-
42428Cleveland Monsters-Utica Comets-
43440Cleveland Monsters-Syracuse Crunch-
45452Laval Rocket-Cleveland Monsters-
46471San Jose Barracuda-Cleveland Monsters-
49493Grand Rapids Griffins-Cleveland Monsters-
50507Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
52526Hartford Wolf Pack-Cleveland Monsters-
53539Cleveland Monsters-San Diego Gulls-
55557San Diego Gulls-Cleveland Monsters-
57573Cleveland Monsters-Hershey Bears-
58589Hartford Wolf Pack-Cleveland Monsters-
60611Laval Rocket-Cleveland Monsters-
61621Cleveland Monsters-Henderson Silver Knights-
63644Lehigh Valley Phantoms-Cleveland Monsters-
65657Cleveland Monsters-Tuscon Roadrunners-
66676Providence Bruins-Cleveland Monsters-
68692Cleveland Monsters-Charlotte Checkers-
69707Cleveland Monsters-Henderson Silver Knights-
70718Texas Stars-Cleveland Monsters-
72740Cleveland Monsters-Texas Stars-
73750Chicago Wolves-Cleveland Monsters-
75766Cleveland Monsters-Manitoba Moose-
76780Syracuse Crunch-Cleveland Monsters-
78798Cleveland Monsters-Hartford Wolf Pack-
79812Cleveland Monsters-Belleville Senators-
80823Hershey Bears-Cleveland Monsters-
82844Manitoba Moose-Cleveland Monsters-
84860Cleveland Monsters-Toronto Marlies-
85875Texas Stars-Cleveland Monsters-
87893Cleveland Monsters-Manitoba Moose-
88909Calgary Wranglers-Cleveland Monsters-
90929Cleveland Monsters-Calgary Wranglers-
91937Cleveland Monsters-Utica Comets-
92950San Diego Gulls-Cleveland Monsters-
95978Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
96994Cleveland Monsters-Calgary Wranglers-
981003Abbotsford Canucks-Cleveland Monsters-
1001029Utica Comets-Cleveland Monsters-
1011038Cleveland Monsters-Springfield Thunderbirds-
1031061Tuscon Roadrunners-Cleveland Monsters-
1041074Cleveland Monsters-Ontario Reign-
1061096Utica Comets-Cleveland Monsters-
1081118Cleveland Monsters-Providence Bruins-
1091128Manitoba Moose-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1111138Cleveland Monsters-Syracuse Crunch-
1131162Ontario Reign-Cleveland Monsters-
1151178Cleveland Monsters-Providence Bruins-
1171195Belleville Senators-Cleveland Monsters-
1181202Cleveland Monsters-Syracuse Crunch-
1191222Ontario Reign-Cleveland Monsters-
1221244Cleveland Monsters-Lehigh Valley Phantoms-
1231254Bridgeport Sound Tigers-Cleveland Monsters-
1251268Cleveland Monsters-San Jose Barracuda-
1261284Coachella Valley Firebirds-Cleveland Monsters-
1281288Cleveland Monsters-Bridgeport Sound Tigers-
1291302Cleveland Monsters-San Jose Barracuda-



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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
605,856$ 2,499,126$ 2,499,126$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,933$ 605,856$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 100 18,933$ 1,893,300$




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