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Cleveland Monsters
GP: 57 | W: 39 | L: 14 | OTL: 4 | P: 82
GF: 205 | GA: 166 | PP%: 23.27% | PK%: 79.50%
DG: Alexandre Gagne | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #918 vs Bruins

Centre de jeu
Cleveland Monsters
39-14-4, 82pts
5
3 Utica Comets
25-29-3, 53pts
Team Stats
W3SéquenceL3
18-9-1Fiche domicile14-11-2
21-5-3Fiche domicile11-18-1
7-3-0Derniers 10 matchs2-8-0
3.60Buts par match 3.02
2.91Buts contre par match 3.42
23.27%Pourcentage en avantage numérique23.59%
79.50%Pourcentage en désavantage numérique75.72%
IceHogs
33-18-6, 72pts
3
5 Cleveland Monsters
39-14-4, 82pts
Team Stats
L2SéquenceW3
19-9-3Fiche domicile18-9-1
14-9-3Fiche domicile21-5-3
6-4-0Derniers 10 matchs7-3-0
3.47Buts par match 3.60
3.05Buts contre par match 2.91
21.70%Pourcentage en avantage numérique23.27%
80.17%Pourcentage en désavantage numérique79.50%
Cleveland Monsters
39-14-4, 82pts
2026-02-26
Bruins
23-27-7, 53pts
Statistiques d’équipe
W3SéquenceW1
18-9-1Fiche domicile12-16-2
21-5-3Fiche visiteur11-11-5
7-3-010 derniers matchs4-4-2
3.60Buts par match 3.18
2.91Buts contre par match 3.18
23.27%Pourcentage en avantage numérique21.95%
79.50%Pourcentage en désavantage numérique79.70%
Bridgeport Islanders
36-20-2, 74pts
2026-02-28
Cleveland Monsters
39-14-4, 82pts
Statistiques d’équipe
W1SéquenceW3
16-10-2Fiche domicile18-9-1
20-10-0Fiche visiteur21-5-3
6-4-010 derniers matchs7-3-0
3.45Buts par match 3.60
3.05Buts contre par match 3.60
23.22%Pourcentage en avantage numérique23.27%
83.76%Pourcentage en désavantage numérique79.50%
Cleveland Monsters
39-14-4, 82pts
2026-03-02
Wolf Pack
28-21-8, 64pts
Statistiques d’équipe
W3SéquenceL3
18-9-1Fiche domicile12-9-4
21-5-3Fiche visiteur16-12-4
7-3-010 derniers matchs2-6-2
3.60Buts par match 3.37
2.91Buts contre par match 3.37
23.27%Pourcentage en avantage numérique23.04%
79.50%Pourcentage en désavantage numérique82.81%
Meneurs d'équipe
Nikita AlexandrovButs
Nikita Alexandrov
23
Nikita AlexandrovPasses
Nikita Alexandrov
38
Nikita AlexandrovPoints
Nikita Alexandrov
61
Jakub BrabenecPlus/Moins
Jakub Brabenec
13
Isaac PoulterVictoires
Isaac Poulter
39
Oscar DanskPourcentage d’arrêts
Oscar Dansk
0.952

Statistiques d’équipe
Buts pour
205
3.60 GFG
Tirs pour
1915
33.60 Avg
Pourcentage en avantage numérique
23.3%
47 GF
Début de zone offensive
40.7%
Buts contre
166
2.91 GAA
Tirs contre
1896
33.26 Avg
Pourcentage en désavantage numérique
79.5%%
33 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralAlexandre Gagne
EntraîneurTrent Vogelhuber
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2Ryan Winterton


Informations de l’aréna

Capacité3,000
Assistance2,805
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 250
Espoirs30


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
1Nikita Alexandrov0X100.00663791677381746574666461686567040650251925,000$
2Georgii Merkulov0X100.00593691666883856474656261636567040640251925,000$
3William Stromgren0X100.00693893637877866267645759616364040630232925,000$
4Ryan Winterton (A)0X100.00673888627580856166596058616364040620222925,000$
5Jagger Firkus (R)0X100.00623691616481725863605956626165040610223925,000$
6Brett Harrison0X100.00683894597775775863575655586264040610232925,000$
7Jason Polin0X100.00673788597476775664575958566568040610272925,000$
8Emilio Pettersen0XX100.005737845966788658686056555765670406002621,000,000$
9Matyas Sapovaliv (R)0X100.00783991558773745461535658556163040600223925,000$
10Jakub Brabenec0X100.00643792597369805862565755586264040600222925,000$
11Parker Bell (R)0X100.00763983538569715256515457536264040590223925,000$
12Jacob Bernard-Docker0X100.006741886577838164307063755265670406602611,080,300$
13Ronnie Attard0X100.00754271628583846130635967486668040640271925,000$
14Samuel Johannesson (R)0X100.00553695616870725830635855476567040600253925,000$
15Ty Nelson (R)0X100.00553979646878736330615856476163040600223925,000$
16Samuel Knazko0X100.00683892587764785530575856466365040600241925,000$
17Topi Niemela0X100.00553785616467845930625755476365040600242925,000$
Rayé
1Rasmus Asplund0XX100.006336906470798662706158635968700406302811,499,999$
MOYENNE D’ÉQUIPE100.0065388861747679595460585955646604062
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
1Isaac Poulter0100.00758379757473757473757464710406602411,499,999$
2Oscar Dansk0100.0072837884717072717072717285040650321925,000$
Rayé
1Cameron Whitehead (R)0100.0061716777605961605961606267040580233925,000$
MOYENNE D’ÉQUIPE100.006979757968676968676968667404063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Trent Vogelhuber68656966555290USA362300,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Nikita AlexandrovCleveland Monsters (CBJ)C5723386111260129196263731758.75%23127522.385813411630002815156.57%155200100.9624000535
2Georgii MerkulovCleveland Monsters (CBJ)LW57233659318061136251731609.16%23123421.6641317401630116947250.00%9800000.9601000365
3Ryan WintertonCleveland Monsters (CBJ)C5721244556082911613511513.04%1895216.7140410300000183149.49%49500000.9404000522
4Nick BlankenburgBlue JacketsD3063440316070727824547.69%6175825.30313164995101166100%000001.0500000234
5Ronnie AttardCleveland Monsters (CBJ)D5710293999151648010341649.71%89111619.5944846141000371300%000000.7000010042
6William StromgrenCleveland Monsters (CBJ)LW57161935322072101150359710.67%1885915.071345300000165147.89%7100000.8111000025
7Jason PolinCleveland Monsters (CBJ)RW50141832111407952112318312.50%2298619.7328101912800001294143.27%10400000.6504000243
8Rasmus AsplundCleveland Monsters (CBJ)C/LW3811162731002686105248010.48%258315.3641524910001501152.17%60000000.9201000310
9Jakub BrabenecCleveland Monsters (CBJ)C571115261312046111101287010.89%1070112.3134721730002201049.35%92800000.7400000111
10Topi NiemelaCleveland Monsters (CBJ)D5771926460246059183111.86%67112319.71549271410000121100%000000.4600000211
11Brett HarrisonCleveland Monsters (CBJ)LW4811142512200565387246512.64%1184717.6500000000001260.78%5100000.5900000130
12Jagger FirkusCleveland Monsters (CBJ)RW3991019960532562164014.52%376519.6333619114000000348.33%6000000.5001000011
13Samuel KnazkoCleveland Monsters (CBJ)D57316198260102375219345.77%5393216.362792074000085000%000000.4100000010
14Jacob Bernard-DockerCleveland Monsters (CBJ)D37108186255375257173117.54%4058015.693472968011156200%000000.6200001121
15Samuel JohannessonCleveland Monsters (CBJ)D4441418518024273472011.76%3460013.651342054000031100%000000.6000000010
16Ty NelsonCleveland Monsters (CBJ)D574121611220585739133010.26%3381114.2410125000051000%000000.3900000000
17Matyas SapovalivCleveland Monsters (CBJ)C5728106603418327216.25%02794.91033634000020041.79%6700000.7200000010
18Emilio PettersenCleveland Monsters (CBJ)C/LW443474407153091510.00%52295.21000020000260047.62%4200000.6100000101
19Parker BellCleveland Monsters (CBJ)LW14000-100010000%0110.8200001000020050.00%40000000000000
Statistiques d’équipe totales ou en moyenne91418833452212534810112412701776494118510.59%5121465116.034578123378141612316926351252.36%407200100.71316011263631
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
1Isaac PoulterCleveland Monsters (CBJ)57391440.9112.9532730116118130200.94418570831
2Oscar DanskCleveland Monsters (CBJ)50000.9521.361770048301000057000
Statistiques d’équipe totales ou en moyenne62391440.9132.873451011651896030185757831


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
Brett HarrisonCleveland Monsters (CBJ)LW232003-06-07CANNo182 Lbs6 ft2NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cameron WhiteheadCleveland Monsters (CBJ)G232003-06-13CANYes170 Lbs6 ft3NoNoTrade2025-08-23NoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Emilio PettersenCleveland Monsters (CBJ)C/LW262000-04-03NORNo170 Lbs5 ft11NoNoTrade2025-08-23NoNo22025-05-21FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Georgii MerkulovCleveland Monsters (CBJ)LW252000-10-10RUSNo176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Isaac PoulterCleveland Monsters (CBJ)G242001-09-12CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Jacob Bernard-DockerCleveland Monsters (CBJ)D262000-06-30CANNo198 Lbs6 ft1NoNoTrade2025-08-07NoNo1FalseFalsePro & Farm1,080,300$0$0$No---------------------------Lien / Lien NHL
Jagger FirkusCleveland Monsters (CBJ)RW222004-04-29CANYes153 Lbs5 ft10NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jakub BrabenecCleveland Monsters (CBJ)C222003-09-11CZENo180 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jason PolinCleveland Monsters (CBJ)RW271999-06-17USANo198 Lbs6 ft0NoNoProspectYesYes22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matyas SapovalivCleveland Monsters (CBJ)C222004-02-12CZEYes203 Lbs6 ft4NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nikita AlexandrovCleveland Monsters (CBJ)C252000-09-16RUSNo177 Lbs6 ft1NoNoTrade2024-05-23NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Oscar DanskCleveland Monsters (CBJ)G321994-02-28SWENo204 Lbs6 ft3NoNoTrade2024-09-17YesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Parker BellCleveland Monsters (CBJ)LW222003-09-26CANYes192 Lbs6 ft4NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Rasmus AsplundCleveland Monsters (CBJ)C/LW281997-12-03SWENo190 Lbs5 ft11NoNoN/AYesYes1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Ronnie AttardCleveland Monsters (CBJ)D271999-03-20USANo208 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ryan WintertonCleveland Monsters (CBJ)C222003-09-04CANNo175 Lbs6 ft2NoNoTrade2025-02-18NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Samuel JohannessonCleveland Monsters (CBJ)D252000-12-27SWEYes176 Lbs5 ft11NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Samuel KnazkoCleveland Monsters (CBJ)D242002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Topi NiemelaCleveland Monsters (CBJ)D242002-03-25FINNo156 Lbs5 ft11NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ty NelsonCleveland Monsters (CBJ)D222004-03-30CANYes195 Lbs5 ft9NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
William StromgrenCleveland Monsters (CBJ)LW232003-06-07SWENo175 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.48183 Lbs6 ft11.90990,728$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HarrisonJakub BrabenecJason Polin40122
2Georgii MerkulovNikita Alexandrov30122
3William StromgrenRyan Winterton20122
4Brett HarrisonRyan WintertonNikita Alexandrov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ronnie AttardTopi Niemela30122
3Samuel KnazkoTy Nelson20122
4Ronnie Attard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub BrabenecJason Polin60122
2Georgii MerkulovNikita Alexandrov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel Knazko60122
2Ronnie AttardTopi Niemela40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jason Polin60122
2Nikita AlexandrovGeorgii Merkulov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel Knazko60122
2Ronnie AttardTopi Niemela40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Georgii Merkulov60122Ty Nelson60122
2Nikita Alexandrov40122Ronnie AttardTopi Niemela40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jason Polin60122
2Nikita AlexandrovGeorgii Merkulov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty Nelson60122
2Ronnie AttardTopi Niemela40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita AlexandrovGeorgii MerkulovJason PolinRonnie Attard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikita AlexandrovGeorgii MerkulovJason PolinRonnie Attard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Brabenec, Matyas Sapovaliv, Jakub Brabenec, Matyas Sapovaliv
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Knazko, Ty Nelson, Samuel KnazkoTy Nelson,
Tirs de pénalité
Ryan Winterton, Jason Polin, Nikita Alexandrov, Georgii Merkulov,
Gardien
#1 : Isaac Poulter, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Matyas Sapovaliv, Jakub Brabenec, Nikita Alexandrov, Georgii Merkulov, , William Stromgren, Ryan Winterton, Brett Harrison, Jason Polin,
Lignes de défense personnalisées en prolongation
, Ty Nelson, Ronnie Attard, Topi Niemela, Samuel Knazko


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
1Abbotsford Canucks210000101183110000006421000001054141.00011172800806454877652609635375920144213323.08%7185.71%01044205150.90%1015205349.44%48993852.13%13539391362418737368
2Admirals1010000034-1000000000001010000034-100.000358008064548436526096353728109254125.00%20100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
3Bears3210000011110110000005322110000068-240.667112031008064548107652609635377527127011327.27%30100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
4Belleville Senators31101000811-320101000610-41100000021140.667814220080645481046526096353711039166512325.00%70100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
5Bridgeport Islanders22000000853110000004221100000043141.0008162400806454860652609635376198397228.57%4175.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
6Calgary Wranglers2110000045-11010000024-21100000021120.5004711008064548526526096353777158306116.67%4325.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
7Charlotte Checkers11000000211000000000001100000021121.0002240080645482765260963537226223200.00%10100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
8Chicago Wolves11000000431000000000001100000043121.000471100806454832652609635372338272150.00%3233.33%01044205150.90%1015205349.44%48993852.13%13539391362418737368
9Coachella Valley Firebirds11000000422000000000001100000042221.0004610008064548296526096353735116196116.67%30100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
10Colorado Eagles2110000068-2110000005321010000015-420.5006111700806454871652609635377517183510330.00%7185.71%01044205150.90%1015205349.44%48993852.13%13539391362418737368
11Condors2010010068-21010000034-11000010034-110.250611170080645485665260963537591416352150.00%8275.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
12Griffins2010010079-21010000034-11000010045-110.250711180080645488365260963537641883510220.00%4250.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
13Henderson Silver Knights2200000012210110000006151100000061541.00012213300806454878652609635375912102312650.00%5180.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
14IceHogs21100000981110000005321010000045-120.500917260080645487565260963537683212587342.86%5260.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
15Iowa Wild220000001055110000004131100000064241.000101828008064548716526096353776221447300.00%60100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
16Laval Rocket11000000514110000005140000000000021.000591400806454842652609635371354234250.00%20100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
17Moose1010000013-2000000000001010000013-200.0001230080645483265260963537298626200.00%3233.33%01044205150.90%1015205349.44%48993852.13%13539391362418737368
18Ontario Reign2010000157-21010000023-11000000134-110.2505813008064548656526096353766141437600.00%7185.71%01044205150.90%1015205349.44%48993852.13%13539391362418737368
19Phantoms10000010321100000103210000000000021.00032500806454838652609635374419822100.00%30100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
20Rochester Americans210010001064110000006331000100043141.00010172700806454864652609635377017164111545.45%8362.50%01044205150.90%1015205349.44%48993852.13%13539391362418737368
21San Diego Gulls21000010972110000005411000001043141.00091524008064548776526096353761885910110.00%40100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
22San Jose Barracuda11000000321000000000001100000032121.00036900806454836652609635373182244125.00%10100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
23Syracruse Crunch2020000015-42020000015-40000000000000.0001230080645485765260963537761814407114.29%7271.43%01044205150.90%1015205349.44%48993852.13%13539391362418737368
24Texas Stars22000000422110000002111100000021141.00046100080645485865260963537651910377114.29%30100.00%01044205150.90%1015205349.44%48993852.13%13539391362418737368
25Thunderbirds2110000069-31010000026-41100000043120.50068140080645487565260963537822614408225.00%7357.14%01044205150.90%1015205349.44%48993852.13%13539391362418737368
26Toronto Marlies31001100972200011007701100000020250.8339162501806454872652609635371223722677114.29%11190.91%01044205150.90%1015205349.44%48993852.13%13539391362418737368
27Tucson Roadrunners11000000532000000000001100000053221.00051015008064548236526096353740121220300.00%6183.33%01044205150.90%1015205349.44%48993852.13%13539391362418737368
28Utica Comets4400000022111122000000105522000000126681.000223961008064548143652609635371244136947114.29%15473.33%01044205150.90%1015205349.44%48993852.13%13539391362418737368
29Wilkes-Barre Penguins421000101495211000005412100001095460.7501423370080645481476526096353714947258914214.29%9188.89%01044205150.90%1015205349.44%48993852.13%13539391362418737368
30Wolf Pack11000000321110000003210000000000021.00036900806454821652609635373371219400.00%60100.00%11044205150.90%1015205349.44%48993852.13%13539391362418737368
Total57321403341205166392815902110100821829175012311058421820.719205352557018064548191565260963537189654136412112024723.27%1613379.50%11044205150.90%1015205349.44%48993852.13%13539391362418737368
_Since Last GM Reset57321403341205166392815902110100821829175012311058421820.719205352557018064548191565260963537189654136412112024723.27%1613379.50%11044205150.90%1015205349.44%48993852.13%13539391362418737368
_Vs Conference30176032201078324178502110584810139101110493514460.76710718429101806454899765260963537986293191654992323.23%831680.72%11044205150.90%1015205349.44%48993852.13%13539391362418737368
_Vs Division16122000206543228610001030181286100010352510280.875651131780080645485486526096353750915310936046919.57%43881.40%11044205150.90%1015205349.44%48993852.13%13539391362418737368

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5782W320535255719151896541364121101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5732143341205166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28159211010082
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
29175123110584
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2024723.27%1613379.50%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
652609635378064548
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
1044205150.90%1015205349.44%48993852.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13539391362418737368


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-10-0916Cleveland Monsters3Admirals4LSommaire du match
5 - 2025-10-1133Cleveland Monsters6Iowa Wild4WSommaire du match
7 - 2025-10-1345Utica Comets3Cleveland Monsters4WSommaire du match
10 - 2025-10-1667Colorado Eagles3Cleveland Monsters5WSommaire du match
12 - 2025-10-1882Syracruse Crunch1Cleveland Monsters0LSommaire du match
15 - 2025-10-21106Cleveland Monsters2Texas Stars1WSommaire du match
18 - 2025-10-24125Bears3Cleveland Monsters5WSommaire du match
19 - 2025-10-25134Cleveland Monsters5Wilkes-Barre Penguins2WSommaire du match
22 - 2025-10-28152Cleveland Monsters4Rochester Americans3WXSommaire du match
23 - 2025-10-29166Toronto Marlies5Cleveland Monsters4LXSommaire du match
26 - 2025-11-01189Thunderbirds6Cleveland Monsters2LSommaire du match
27 - 2025-11-02195Cleveland Monsters4Bridgeport Islanders3WSommaire du match
30 - 2025-11-05215Cleveland Monsters2Calgary Wranglers1WSommaire du match
33 - 2025-11-08241Cleveland Monsters5Abbotsford Canucks4WXXSommaire du match
35 - 2025-11-10254Cleveland Monsters3Condors4LXSommaire du match
36 - 2025-11-11264Cleveland Monsters4Coachella Valley Firebirds2WSommaire du match
38 - 2025-11-13274Condors4Cleveland Monsters3LSommaire du match
40 - 2025-11-15290Wolf Pack2Cleveland Monsters3WSommaire du match
42 - 2025-11-17305Laval Rocket1Cleveland Monsters5WSommaire du match
43 - 2025-11-18311Cleveland Monsters1Moose3LSommaire du match
45 - 2025-11-20319Cleveland Monsters2Toronto Marlies0WSommaire du match
47 - 2025-11-22335Cleveland Monsters4Griffins5LXSommaire du match
49 - 2025-11-24356Cleveland Monsters2Bears5LSommaire du match
51 - 2025-11-26369Toronto Marlies2Cleveland Monsters3WXSommaire du match
53 - 2025-11-28388Wilkes-Barre Penguins1Cleveland Monsters0LSommaire du match
56 - 2025-12-01406Cleveland Monsters7Utica Comets3WSommaire du match
59 - 2025-12-04432Griffins4Cleveland Monsters3LSommaire du match
61 - 2025-12-06442Cleveland Monsters2Charlotte Checkers1WSommaire du match
62 - 2025-12-07459Cleveland Monsters4Bears3WSommaire du match
64 - 2025-12-09471Cleveland Monsters4Chicago Wolves3WSommaire du match
66 - 2025-12-11486Belleville Senators6Cleveland Monsters1LSommaire du match
68 - 2025-12-13502Henderson Silver Knights1Cleveland Monsters6WSommaire du match
71 - 2025-12-16525San Diego Gulls4Cleveland Monsters5WSommaire du match
73 - 2025-12-18540Iowa Wild1Cleveland Monsters4WSommaire du match
75 - 2025-12-20560Cleveland Monsters4San Diego Gulls3WXXSommaire du match
77 - 2025-12-22574Cleveland Monsters3Ontario Reign4LXXSommaire du match
83 - 2025-12-28603Bridgeport Islanders2Cleveland Monsters4WSommaire du match
84 - 2025-12-29606Cleveland Monsters2Belleville Senators1WSommaire du match
86 - 2025-12-31627Utica Comets2Cleveland Monsters6WSommaire du match
89 - 2026-01-03646Rochester Americans3Cleveland Monsters6WSommaire du match
90 - 2026-01-04658Wilkes-Barre Penguins3Cleveland Monsters5WSommaire du match
92 - 2026-01-06675Cleveland Monsters3San Jose Barracuda2WSommaire du match
94 - 2026-01-08692Cleveland Monsters6Henderson Silver Knights1WSommaire du match
96 - 2026-01-10699Cleveland Monsters1Colorado Eagles5LSommaire du match
97 - 2026-01-11714Cleveland Monsters5Tucson Roadrunners3WSommaire du match
99 - 2026-01-13728Calgary Wranglers4Cleveland Monsters2LSommaire du match
101 - 2026-01-15743Abbotsford Canucks4Cleveland Monsters6WSommaire du match
103 - 2026-01-17760Cleveland Monsters4Wilkes-Barre Penguins3WXXSommaire du match
106 - 2026-01-20782Belleville Senators4Cleveland Monsters5WXSommaire du match
108 - 2026-01-22797Texas Stars1Cleveland Monsters2WSommaire du match
110 - 2026-01-24814Syracruse Crunch4Cleveland Monsters1LSommaire du match
112 - 2026-01-26828Ontario Reign3Cleveland Monsters2LSommaire du match
114 - 2026-01-28840Phantoms2Cleveland Monsters3WXXSommaire du match
116 - 2026-01-30858Cleveland Monsters4IceHogs5LSommaire du match
117 - 2026-01-31868Cleveland Monsters4Thunderbirds3WSommaire du match
120 - 2026-02-03887Cleveland Monsters5Utica Comets3WSommaire du match
121 - 2026-02-04894IceHogs3Cleveland Monsters5WSommaire du match
143 - 2026-02-26918Cleveland Monsters-Bruins-
145 - 2026-02-28937Bridgeport Islanders-Cleveland Monsters-
147 - 2026-03-02953Cleveland Monsters-Wolf Pack-
148 - 2026-03-03963Admirals-Cleveland Monsters-
150 - 2026-03-05978Charlotte Checkers-Cleveland Monsters-
152 - 2026-03-07995Tucson Roadrunners-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101015Cleveland Monsters-Syracruse Crunch-
157 - 2026-03-121031Cleveland Monsters-Charlotte Checkers-
159 - 2026-03-141052Cleveland Monsters-Phantoms-
162 - 2026-03-171070Chicago Wolves-Cleveland Monsters-
164 - 2026-03-191086Wolf Pack-Cleveland Monsters-
166 - 2026-03-211104Coachella Valley Firebirds-Cleveland Monsters-
167 - 2026-03-221114Cleveland Monsters-Bridgeport Islanders-
169 - 2026-03-241125Cleveland Monsters-Phantoms-
171 - 2026-03-261137Cleveland Monsters-Laval Rocket-
173 - 2026-03-281158San Jose Barracuda-Cleveland Monsters-
174 - 2026-03-291170Bruins-Cleveland Monsters-
176 - 2026-03-311185Chicago Wolves-Cleveland Monsters-
178 - 2026-04-021197Cleveland Monsters-Chicago Wolves-
180 - 2026-04-041215Moose-Cleveland Monsters-
183 - 2026-04-071235Cleveland Monsters-Griffins-
185 - 2026-04-091247Cleveland Monsters-Rochester Americans-
187 - 2026-04-111271Cleveland Monsters-Laval Rocket-
188 - 2026-04-121278Bruins-Cleveland Monsters-
190 - 2026-04-141295Bears-Cleveland Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance51,93826,607
Assistance PCT92.75%95.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-25 2805 - 93.51% 115,597$3,236,725$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,799,689$ 2,080,530$ 2,080,530$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,580,486$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,502,765$ 52 12,334$ 641,368$




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