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Cleveland Monsters
GP: 11 | W: 11 | L: 0 | OTL: 0 | P: 22
GF: 108 | GA: 33 | PP%: 50.00% | PK%: 81.82%
DG: PO Tommy | Morale : 60 | Moyenne d’équipe : N/A
Prochains matchs #172 vs Hartford Wolf Pack

Centre de jeu
Cleveland Monsters
11-0-0, 22pts
8
6 Hartford Wolf Pack
6-6-0, 12pts
Team Stats
W11SéquenceW1
5-0-0Fiche domicile3-2-0
6-0-0Fiche domicile3-4-0
10-0-0Derniers 10 matchs5-5-0
9.82Buts par match 6.42
3.00Buts contre par match 5.33
50.00%Pourcentage en avantage numérique40.00%
81.82%Pourcentage en désavantage numérique68.18%
Cleveland Monsters
11-0-0, 22pts
10
4 Springfield Thunder Birds
1-9-1, 3pts
Team Stats
W11SéquenceL5
5-0-0Fiche domicile1-5-0
6-0-0Fiche domicile0-4-1
10-0-0Derniers 10 matchs1-9-0
9.82Buts par match 3.27
3.00Buts contre par match 7.45
50.00%Pourcentage en avantage numérique0.00%
81.82%Pourcentage en désavantage numérique69.23%
Hartford Wolf Pack
6-6-0, 12pts
2026-11-05
Cleveland Monsters
11-0-0, 22pts
Statistiques d’équipe
W1SéquenceW11
3-2-0Fiche domicile5-0-0
3-4-0Fiche visiteur6-0-0
5-5-010 derniers matchs10-0-0
6.42Buts par match 9.82
5.33Buts contre par match 9.82
40.00%Pourcentage en avantage numérique50.00%
68.18%Pourcentage en désavantage numérique81.82%
Chicago Wolves
10-0-0, 20pts
2026-11-08
Cleveland Monsters
11-0-0, 22pts
Statistiques d’équipe
W10SéquenceW11
6-0-0Fiche domicile5-0-0
4-0-0Fiche visiteur6-0-0
10-0-010 derniers matchs10-0-0
8.90Buts par match 9.82
1.40Buts contre par match 9.82
50.00%Pourcentage en avantage numérique50.00%
92.31%Pourcentage en désavantage numérique81.82%
Cleveland Monsters
11-0-0, 22pts
2026-11-11
Hershey Bears
3-8-1, 7pts
Statistiques d’équipe
W11SéquenceL3
5-0-0Fiche domicile2-3-0
6-0-0Fiche visiteur1-5-1
10-0-010 derniers matchs2-7-1
9.82Buts par match 5.08
3.00Buts contre par match 5.08
50.00%Pourcentage en avantage numérique25.00%
81.82%Pourcentage en désavantage numérique36.36%
Meneurs d'équipe
Adam MascherinButs
Adam Mascherin
27
Jake ChristiansenPasses
Jake Christiansen
32
Brett LeasonPoints
Brett Leason
41
Brett LeasonPlus/Moins
Brett Leason
37

Statistiques d’équipe
Buts pour
108
9.82 GFG
Tirs pour
850
77.27 Avg
Pourcentage en avantage numérique
50.0%
5 GF
Début de zone offensive
46.3%
Buts contre
33
3.00 GAA
Tirs contre
389
35.36 Avg
Pourcentage en désavantage numérique
81.8%%
2 GA
Début de la zone défensive
30.4%
Informations de l'équipe

Directeur généralPO Tommy
EntraîneurDavid Bell
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Brett Leason


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure22
Limite Contrat37 / 75
Espoirs37


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nick CousinsXXX100.00776271687179856457656266638174063003221,587,500$
2Ben McCartneyX100.0062426664718483616563626064666706300241775,000$
3Adam MascherinXXX100.0063468164727782656861636264656706300281800,000$
4Brett Leason (A)XX100.0081428269938783636967607562686906300271775,000$
5Bogdan TrineyevX100.0070398755838284565357586256646606300242900,000$
6Dominic JamesX100.0067369571738077667865676369656604600231910,000$
7Tanner HoweX100.0061436260687769586359615762616304200203929,166$
8Zakhar BardakovX100.0069379363807083576158655662666504200252950,000$
9Alec RegulaX100.0075446763898268593063566448666804200252950,000$
10Jake ChristiansenX100.0067389564747980653066526149676906300261975,000$
11Seamus CaseyX100.0060369168678073663068676355626405300221950,000$
12Uvis BalinskisX100.0071388668748684673072626552707105300292875,000$
13Adam EngstromX100.0067398364798184623063556448636505300221896,667$
14Ludvig JanssonX100.0058368962708372583060545748636504200222955,000$
Rayé
MOYENNE D’ÉQUIPE100.006841826576817962506360635766670540
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
1Hampton Slukynsky100.0078716873777678777678776165046002031,075,000$
Rayé
MOYENNE D’ÉQUIPE100.00787168737776787776787761650460
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Bell72646661757177CAN492500,000$


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
1Brett LeasonCleveland Monsters (CBJ)LW/RW1115264137002134129239211.63%1322220.2300013000020075.36%6900013.6900000133
2Nick CousinsCleveland Monsters (CBJ)C/LW/RW111426403000274795186014.74%1221019.094158100001110073.48%32800013.8100000202
3Jake ChristiansenCleveland Monsters (CBJ)D1143236296040155113337.84%2525923.561121680000210100.00%100002.7800000114
4Ben McCartneyCleveland Monsters (CBJ)LW11161834300081570103722.86%818516.8800000000001085.71%2100033.6600000220
5Bogdan TrineyevCleveland Monsters (CBJ)RW1125934158061381735611914.45%1326223.8500055000006176.19%2100052.5900000411
6Adam MascherinCleveland Monsters (CBJ)C/LW/RW1127431270043371504511018.00%1518416.8000025000442072.93%26600053.3500000140
Statistiques d’équipe totales ou en moyenne6610111521616814020018666816545115.12%86132420.07527323200052110173.94%706000153.2600000111110
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
1Casey DeSmithColumbus Blue Jackets55000.9641.003000251390000050001
Statistiques d’équipe totales ou en moyenne55000.9641.00300025139000050001


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Adam EngstromCleveland Monsters (CBJ)D222003-11-17SWENo193 Lbs6 ft2NoNoProspectNoNo12025-06-18FalseFalsePro & Farm896,667$780,500$0$0$No---------------------------Lien / Lien NHL
Adam MascherinCleveland Monsters (CBJ)C/LW/RW281998-06-06CANNo200 Lbs5 ft11NoNoN/ANoNo12024-06-10FalseFalsePro & Farm800,000$696,356$0$0$No---------------------------Lien / Lien NHL
Alec RegulaCleveland Monsters (CBJ)D252000-08-06USANo211 Lbs6 ft4NoNoFree AgentNoNo22026-08-03FalseFalsePro & Farm950,000$826,923$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Ben McCartneyCleveland Monsters (CBJ)LW242001-07-13CANNo182 Lbs6 ft0NoNoN/ANoNo12025-06-18FalseFalsePro & Farm775,000$674,595$0$0$No---------------------------Lien / Lien NHL
Bogdan TrineyevCleveland Monsters (CBJ)RW242002-03-04RUSNo198 Lbs6 ft3NoNoProspectNoNo22026-07-06FalseFalsePro & Farm900,000$783,401$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Brett LeasonCleveland Monsters (CBJ)LW/RW271999-04-30CANNo220 Lbs6 ft5NoNoFree AgentNoNo12026-07-06FalseFalsePro & Farm775,000$674,595$0$0$No---------------------------Lien / Lien NHL
Dominic JamesCleveland Monsters (CBJ)C232002-07-03USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm910,000$792,105$0$0$No---------------------------Lien / Lien NHL
Hampton SlukynskyCleveland Monsters (CBJ)G202005-07-02USANo179 Lbs6 ft1NoNoAssign ManuallyNoNo32026-07-20FalseFalsePro & Farm1,075,000$935,729$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Lien / Lien NHL
Jake ChristiansenCleveland Monsters (CBJ)D261999-09-12CANNo199 Lbs6 ft0NoNoN/ANoNo12025-06-18FalseFalsePro & Farm975,000$848,684$0$0$No---------------------------Lien / Lien NHL
Ludvig JanssonCleveland Monsters (CBJ)D222003-12-27SWENo176 Lbs6 ft0NoNoAssign ManuallyNoNo22026-07-20FalseFalsePro & Farm955,000$831,275$0$0$No955,000$--------955,000$--------No--------Lien / Lien NHL
Nick Cousins (contrat à 1 volet)Cleveland Monsters (CBJ)C/LW/RW321993-07-20CANNo191 Lbs5 ft11NoNoFree AgentNoYes22026-07-06FalseFalsePro & Farm1,587,500$1,306,837$337,500$277,831$No1,587,500$--------1,587,500$--------No--------Lien / Lien NHL
Seamus CaseyCleveland Monsters (CBJ)D222004-01-08USANo181 Lbs5 ft10NoNoProspectNoNo12025-06-18FalseFalsePro & Farm950,000$826,923$0$0$No---------------------------Lien / Lien NHL
Tanner HoweCleveland Monsters (CBJ)LW202005-11-28CANNo183 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-20FalseFalsePro & Farm929,166$808,788$0$0$No929,166$929,166$-------929,166$929,166$-------NoNo-------Lien / Lien NHL
Uvis BalinskisCleveland Monsters (CBJ)D291996-08-01LVANo196 Lbs6 ft0NoNoAssign ManuallyNoNo22026-07-06FalseFalsePro & Farm875,000$761,640$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Zakhar BardakovCleveland Monsters (CBJ)C252001-02-24RUSNo198 Lbs6 ft2NoNoFree AgentNoNo22026-08-03FalseFalsePro & Farm950,000$826,923$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1524.60193 Lbs6 ft11.67953,556$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bogdan Trineyev40122
2Ben McCartneyNick CousinsBrett Leason30122
3Adam Mascherin20122
4Brett LeasonBogdan Trineyev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen40122
230122
320122
4Jake Christiansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick Cousins60122
2Brett LeasonAdam MascherinBogdan Trineyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick Cousins60122
2Brett Leason40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Jake Christiansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Leason6012260122
2Nick Cousins40122Jake Christiansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick CousinsBrett Leason60122
2Adam Mascherin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick CousinsBrett LeasonJake Christiansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick CousinsBrett Leason
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Leason, Nick Cousins, Nick Cousins, Nick Cousins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Jake Christiansen, Jake Christiansen
Tirs de pénalité
, Adam Mascherin, , Brett Leason, Nick Cousins
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Nick Cousins, , Brett Leason, Bogdan Trineyev, Adam Mascherin, Ben McCartney, ,
Lignes de défense personnalisées en prolongation
Jake Christiansen, , , ,


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
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Bridgeport Islanders44000000415362200000019118220000002241881.000417011101483129031927527729801013610994250.00%5180.00%031548465.08%20431864.15%15124461.89%3412711965612168
2Hartford Wolf Pack3300000025121311000000862220000001761161.0002541660148312901542752772980134408724250.00%20100.00%031548465.08%20431864.15%15124461.89%3412711965612168
3Hershey Bears1100000011561100000011560000000000021.00011172800483129010327527729804312026000%000%031548465.08%20431864.15%15124461.89%3412711965612168
4Lehigh Valley Phantoms1100000011470000000000011000000114721.000111829004831290812752772980388424000%2150.00%031548465.08%20431864.15%15124461.89%3412711965612168
5Rochester Americans1100000010371100000010370000000000021.000101727004831290922752772980369228100.00%10100.00%031548465.08%20431864.15%15124461.89%3412711965612168
6Springfield Thunder Birds1100000010460000000000011000000104621.000101727004831290101275277298037623411100.00%10100.00%031548465.08%20431864.15%15124461.89%3412711965612168
Total111100000010833755500000048153366000000601842221.00010818028802483129085027527729803891112628310550.00%11281.82%031548465.08%20431864.15%15124461.89%3412711965612168
_Since Last GM Reset111100000010833755500000048153366000000601842221.00010818028802483129085027527729803891112628310550.00%11281.82%031548465.08%20431864.15%15124461.89%3412711965612168
_Vs Conference10100000009829695500000048153355000000501436201.000981632610248312907492752772980352105242499444.44%10280.00%031548465.08%20431864.15%15124461.89%3412711965612168
_Vs Division9100000008826624500000038122655000000501436201.11188146234024831290657275277298031696222218450.00%9277.78%031548465.08%20431864.15%15124461.89%3412711965612168

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1122W111081802888503891112628302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
11110000010833
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
55000004815
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
66000006018
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10550.00%11281.82%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
27527729804831290
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
31548465.08%20431864.15%15124461.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3412711965612168


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
1 - 2026-10-043Cleveland Monsters9Hartford Wolf Pack0WSommaire du match
2 - 2026-10-057Cleveland Monsters13Bridgeport Islanders2WSommaire du match
5 - 2026-10-0827Bridgeport Islanders1Cleveland Monsters10WSommaire du match
9 - 2026-10-1248Cleveland Monsters9Bridgeport Islanders2WSommaire du match
11 - 2026-10-1456Bridgeport Islanders0Cleveland Monsters9WSommaire du match
17 - 2026-10-2083Hershey Bears5Cleveland Monsters11WSommaire du match
21 - 2026-10-24101Hartford Wolf Pack6Cleveland Monsters8WSommaire du match
24 - 2026-10-27122Cleveland Monsters11Lehigh Valley Phantoms4WSommaire du match
27 - 2026-10-30136Rochester Americans3Cleveland Monsters10WSommaire du match
28 - 2026-10-31145Cleveland Monsters8Hartford Wolf Pack6WSommaire du match
31 - 2026-11-03161Cleveland Monsters10Springfield Thunder Birds4WSommaire du match
33 - 2026-11-05172Hartford Wolf Pack-Cleveland Monsters-
36 - 2026-11-08189Chicago Wolves-Cleveland Monsters-
39 - 2026-11-11208Cleveland Monsters-Hershey Bears-
41 - 2026-11-13213Cleveland Monsters-Rochester Americans-
43 - 2026-11-15225Rochester Americans-Cleveland Monsters-
45 - 2026-11-17238Cleveland Monsters-Bridgeport Islanders-
48 - 2026-11-20256Iowa Wild-Cleveland Monsters-
50 - 2026-11-22267Cleveland Monsters-Henderson Silver Knights-
52 - 2026-11-24279Cleveland Monsters-Coachella Valley Firebirds-
54 - 2026-11-26294Ontario Reign-Cleveland Monsters-
56 - 2026-11-28304Cleveland Monsters-Texas Stars-
58 - 2026-11-30313Cleveland Monsters-Trois-Rivières Lions-
60 - 2026-12-02328Providence Bruins-Cleveland Monsters-
63 - 2026-12-05343Cleveland Monsters-Springfield Thunder Birds-
65 - 2026-12-07355Abbotsford Canucks-Cleveland Monsters-
71 - 2026-12-13383Hartford Wolf Pack-Cleveland Monsters-
77 - 2026-12-19407San Jose Barracuda-Cleveland Monsters-
79 - 2026-12-21419Cleveland Monsters-Hartford Wolf Pack-
82 - 2026-12-24434Cleveland Monsters-Syracuse Crunch-
84 - 2026-12-26444Springfield Thunder Birds-Cleveland Monsters-
88 - 2026-12-30466Henderson Silver Knights-Cleveland Monsters-
92 - 2027-01-03490Cleveland Monsters-San Diego Gulls-
94 - 2027-01-05496Colorado Eagles-Cleveland Monsters-
96 - 2027-01-07512Cleveland Monsters-San Jose Barracuda-
98 - 2027-01-09521Cleveland Monsters-Stockton Heat-
100 - 2027-01-11529Cleveland Monsters-Laval Rocket-
101 - 2027-01-12536San Diego Gulls-Cleveland Monsters-
106 - 2027-01-17563Coachella Valley Firebirds-Cleveland Monsters-
108 - 2027-01-19567Cleveland Monsters-Lehigh Valley Phantoms-
112 - 2027-01-23591Cleveland Monsters-Charlotte Checkers-
113 - 2027-01-24597Bakersfield Condors-Cleveland Monsters-
116 - 2027-01-27611Cleveland Monsters-Providence Bruins-
119 - 2027-01-30625Texas Stars-Cleveland Monsters-
124 - 2027-02-04647Cleveland Monsters-Toronto Marlies-
126 - 2027-02-06656Rockford IceHogs-Cleveland Monsters-
130 - 2027-02-10680Manitoba Moose-Cleveland Monsters-
135 - 2027-02-15705Toronto Marlies-Cleveland Monsters-
140 - 2027-02-20730Charlotte Checkers-Cleveland Monsters-
144 - 2027-02-24753Cleveland Monsters-Belleville Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2027-02-26763Grand Rapids Griffins-Cleveland Monsters-
149 - 2027-03-01778Cleveland Monsters-Chicago Wolves-
152 - 2027-03-04793Stockton Heat-Cleveland Monsters-
155 - 2027-03-07802Cleveland Monsters-Lehigh Valley Phantoms-
157 - 2027-03-09819Lehigh Valley Phantoms-Cleveland Monsters-
159 - 2027-03-11826Cleveland Monsters-Hershey Bears-
161 - 2027-03-13840Cleveland Monsters-Bakersfield Condors-
164 - 2027-03-16854Chicago Wolves-Cleveland Monsters-
166 - 2027-03-18867Cleveland Monsters-Colorado Eagles-
170 - 2027-03-22889Trois-Rivières Lions-Cleveland Monsters-
174 - 2027-03-26911Hershey Bears-Cleveland Monsters-
176 - 2027-03-28920Cleveland Monsters-Bridgeport Islanders-
179 - 2027-03-31940Cleveland Monsters-Ontario Reign-
181 - 2027-04-02951Hershey Bears-Cleveland Monsters-
185 - 2027-04-06972Lehigh Valley Phantoms-Cleveland Monsters-
190 - 2027-04-111001Chicago Wolves-Cleveland Monsters-
193 - 2027-04-141017Cleveland Monsters-Grand Rapids Griffins-
196 - 2027-04-171027Cleveland Monsters-Rochester Americans-
198 - 2027-04-191035Rochester Americans-Cleveland Monsters-
202 - 2027-04-231052Cleveland Monsters-Milwaukee Admirals-
204 - 2027-04-251062Belleville Senators-Cleveland Monsters-
206 - 2027-04-271071Cleveland Monsters-Rockford IceHogs-
210 - 2027-05-011093Syracuse Crunch-Cleveland Monsters-
212 - 2027-05-031103Cleveland Monsters-Iowa Wild-
215 - 2027-05-061120Milwaukee Admirals-Cleveland Monsters-
217 - 2027-05-081132Cleveland Monsters-Abbotsford Canucks-
221 - 2027-05-121153Cleveland Monsters-Manitoba Moose-
222 - 2027-05-131159Laval Rocket-Cleveland Monsters-
228 - 2027-05-191184Springfield Thunder Birds-Cleveland Monsters-
231 - 2027-05-221193Cleveland Monsters-Rockford IceHogs-
235 - 2027-05-261211Bridgeport Islanders-Cleveland Monsters-
236 - 2027-05-271218Cleveland Monsters-Chicago Wolves-
242 - 2027-06-021239Cleveland Monsters-Manitoba Moose-
246 - 2027-06-061260Bridgeport Islanders-Cleveland Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
81,740$ 127,159$ 127,159$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
515$ 16,960$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 215 2,539$ 545,885$




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