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Cleveland Monsters
GP: 70 | W: 36 | L: 30 | OTL: 4 | P: 76
GF: 326 | GA: 338 | PP%: 25.27% | PK%: 63.59%
DG: Patrick Labonté | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Texas Stars
31-31-8, 70pts
5
FINAL
7 Cleveland Monsters
36-30-4, 76pts
Team Stats
L3SéquenceW2
18-15-2Fiche domicile20-14-1
13-16-6Fiche domicile16-16-3
5-5-0Derniers 10 matchs4-5-1
4.61Buts par match 4.66
4.83Buts contre par match 4.83
24.16%Pourcentage en avantage numérique25.27%
70.35%Pourcentage en désavantage numérique63.59%
Cleveland Monsters
36-30-4, 76pts
6
FINAL
4 Lehigh Valley Phantoms
24-38-8, 56pts
Team Stats
W2SéquenceL2
20-14-1Fiche domicile14-19-2
16-16-3Fiche domicile10-19-6
4-5-1Derniers 10 matchs3-6-1
4.66Buts par match 5.13
4.83Buts contre par match 5.93
25.27%Pourcentage en avantage numérique26.74%
63.59%Pourcentage en désavantage numérique68.50%
Meneurs d'équipe
Danil GushchinButs
Danil Gushchin
31
Kevin ConnautonPasses
Kevin Connauton
73
Kevin ConnautonPoints
Kevin Connauton
90
Danil GushchinPlus/Moins
Danil Gushchin
9
Cal PetersenVictoires
Cal Petersen
8
Cal PetersenPourcentage d’arrêts
Cal Petersen
0.876

Statistiques d’équipe
Buts pour
326
4.66 GFG
Tirs pour
2971
42.44 Avg
Pourcentage en avantage numérique
25.3%
47 GF
Début de zone offensive
40.9%
Buts contre
338
4.83 GAA
Tirs contre
2776
39.66 Avg
Pourcentage en désavantage numérique
63.6%%
67 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralPatrick Labonté
EntraîneurGino Odjick
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,614
Billets de saison8,370


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 60
Espoirs8


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
1Fabian LysellX100.00614366716162606444645762645050050620231863,333$
2Danil GushchinX100.00544270676064636745646351665150050610231775,000$
3Ozzy WiesblattX100.00615358696264626143615661625150050610242775,000$
4Rodrigo AbolsX100.00644074657570606272585860615150050610301800,000$
5Tim WasheX100.00564069667870596243595959625150050610242812,500$
6Jan MysakX100.00574173656264626361595853625150050600231775,000$
7Lane PedersonX100.00594467656467636161575657616050050600281775,000$
8Martin ChromiakX100.00604172666364626444615955635050050600231775,000$
9Gleb TrikozovX100.00614066606255535640545455575050050560212862,500$
10Noel GunlerXX100.00554261605860585742555452575150050560241813,750$
11Helge GransX100.00644368656864636340575766615150050630232787,500$
12Kevin ConnautonX100.00565260636371716340575664617366050630361775,000$
13Nikita NovikovX100.00694464656962596340605669615050050630221867,500$
14Brandon ScanlinX100.00634468637067666340535962625450050620261775,000$
15William WallinderX100.00634173656663626240605463605050050620231925,000$
16Ryan MastX100.00684170607260575640525165565050050600231830,556$
Rayé
1Hunter DrewX100.006062516466666462425757566154500505902700$
2Jack MillarX100.006641685967636260405753655751500506102500$
3Garrett PykeX100.005940676262626057405453605752500505902600$
4Tyler InamotoX100.006040666464626053405150635654500505902600$
5Filip KralX100.005342636060616059405754565752500505802600$
MOYENNE D’ÉQUIPE100.0060446664656461614557566060535105060
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
1Cal Petersen100.0075707262706971686972666457050640311775,000$
2Clay Stevenson100.0073656966707072707171585450050640272775,000$
Rayé
1Garin Bjorklund100.0066575760626363636362545150050570231775,000$
2Ethan Haider100.00595757645957565458595451500505402400$
MOYENNE D’ÉQUIPE100.006862646365656664656658555205060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gino Odjick1111111CAN5451$


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
1Kevin ConnautonCleveland Monsters (CBJ)D70177390-24001641191666113310.24%120132218.9091221761280002102200%100001.36000004711
2Danil GushchinCleveland Monsters (CBJ)LW5831336492801041403048120310.20%7107318.52549311150001833247.97%29600001.1912000734
3Martin ChromiakCleveland Monsters (CBJ)RW702529547200711232175815011.52%1592513.22000010001118040.82%9800011.1701000663
4Keaton MiddletonColumbus Blue JacketsD331435491138012678118237811.86%7478823.914610457300004410100.00%100001.2402000534
5Rodrigo AbolsCleveland Monsters (CBJ)C70173249112095165197621558.63%1894213.4701112000000064.64%131800001.0400000161
6Ryan MastCleveland Monsters (CBJ)D70103242-84001538467214814.93%86102914.7100013000030110%000000.8200000422
7Ozzy WiesblattCleveland Monsters (CBJ)RW332216388607168129479917.05%749114.8984122976000002251.61%3100021.5512000344
8Jan MysakCleveland Monsters (CBJ)C70112435-1714045132165461136.67%96389.1300000000003062.01%86600001.1011000131
9Arttu HyryColumbus Blue JacketsRW974113001563271321.88%216017.87101415000090157.14%700101.3701000131
10William WallinderCleveland Monsters (CBJ)D183811-40024151661318.75%1932217.940001300002100%000000.6800000003
11Nikita NovikovCleveland Monsters (CBJ)D736970015121421021.43%1015322.0011231300005000%000001.1700000110
12Lane PedersonCleveland Monsters (CBJ)C70617-12014172441725.00%41832.6210156000060151.06%14100000.7600000000
13Tim WasheCleveland Monsters (CBJ)C73362409131691218.75%016924.24000113000070047.42%9700000.7101000000
14Fedor SvechkovColumbus Blue JacketsC211210010272514.29%24723.6800015000010151.67%6000000.8411000100
15Gleb TrikozovCleveland Monsters (CBJ)LW12112-260155103810.00%425321.1000000000010039.68%6300000.1600000000
16Helge GransCleveland Monsters (CBJ)D21121002231333.33%44221.130001500002000%000000.9500000000
17Fabian LysellCleveland Monsters (CBJ)RW1000000120230%01818.2000001000010050.00%20000000000000
18Noel GunlerCleveland Monsters (CBJ)LW/RW2000340520020%03618.2100005000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne6041722994711921409399851485435106511.58%381860214.24292857199472000430821859.28%298400131.10411000343834
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
1Cal PetersenCleveland Monsters (CBJ)148410.8764.1278740544340000.63611140010
Statistiques d’équipe totales ou en moyenne148410.8764.12787405443400011140010


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 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
Brandon ScanlinCleveland Monsters (CBJ)D261999-06-02CANNo214 Lbs6 ft4NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Cal PetersenCleveland Monsters (CBJ)G311994-10-19USANo185 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Clay StevensonCleveland Monsters (CBJ)G271999-03-03CANNo194 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Danil GushchinCleveland Monsters (CBJ)LW232002-06-02RUSNo181 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ethan HaiderCleveland Monsters (CBJ)G242001-09-04USANo190 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Fabian LysellCleveland Monsters (CBJ)RW232003-01-19SWENo181 Lbs5 ft11NoNoTrade2025-10-09NoNo12025-05-26FalseFalsePro & Farm863,333$0$0$No---------------------------Lien NHL
Filip KralCleveland Monsters (CBJ)D261999-10-20CZENo198 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Garin BjorklundCleveland Monsters (CBJ)G232002-05-28CANNo172 Lbs6 ft2NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$0$0$No---------------------------
Garrett PykeCleveland Monsters (CBJ)D261999-08-01CANNo192 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Gleb TrikozovCleveland Monsters (CBJ)LW212004-08-12RUSNo192 Lbs6 ft1NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm862,500$0$0$No862,500$--------862,500$--------No--------
Helge GransCleveland Monsters (CBJ)D232002-05-10SWENo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm787,500$0$0$No787,500$--------787,500$--------No--------Lien NHL
Hunter DrewCleveland Monsters (CBJ)RW271998-10-21CANNo192 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jack MillarCleveland Monsters (CBJ)D252000-11-30USANo220 Lbs6 ft5NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jan MysakCleveland Monsters (CBJ)C232002-06-24CZENo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kevin ConnautonCleveland Monsters (CBJ)D361990-02-23CANNo205 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Lane PedersonCleveland Monsters (CBJ)C281997-08-04CANNo190 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Martin ChromiakCleveland Monsters (CBJ)RW232002-08-20SLVNo187 Lbs6 ft0NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nikita NovikovCleveland Monsters (CBJ)D222003-07-25RUSNo209 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm867,500$0$0$No---------------------------Lien NHL
Noel GunlerCleveland Monsters (CBJ)LW/RW242001-10-07SWENo176 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm813,750$0$0$No---------------------------
Ozzy WiesblattCleveland Monsters (CBJ)RW242002-03-09CANNo183 Lbs5 ft10NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Rodrigo AbolsCleveland Monsters (CBJ)C301996-01-05LVANo206 Lbs6 ft4NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm800,000$0$0$No---------------------------
Ryan MastCleveland Monsters (CBJ)D232003-01-14USANo220 Lbs6 ft5NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm830,556$0$0$No---------------------------Lien NHL
Tim WasheCleveland Monsters (CBJ)C242001-08-25USANo215 Lbs6 ft3NoNoFantasy DraftNoNo22025-08-19FalseFalsePro & Farm812,500$0$0$No812,500$--------812,500$--------No--------
Tyler InamotoCleveland Monsters (CBJ)D261999-05-06USANo194 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
William WallinderCleveland Monsters (CBJ)D232002-07-28SWENo192 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.24195 Lbs6 ft20.96612,506$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
230122
3Rodrigo AbolsMartin Chromiak25122
4Jan Mysak15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
2Kevin Connauton30122
3Ryan Mast25122
415122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Kevin Connauton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Kevin Connauton50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
250122Kevin Connauton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Kevin Connauton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lane Pederson, Rodrigo Abols, Martin ChromiakLane Pederson, Rodrigo AbolsMartin Chromiak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryan Mast, Kevin ConnautonRyan Mast, Kevin Connauton
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Rodrigo Abols, Martin Chromiak, Jan Mysak, Lane Pederson,
Lignes de défense personnalisées en prolongation
, , Kevin Connauton, ,


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 Canucks11000000541000000000001100000054121.0005101500130101926469809651012253574223133.33%2150.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
2Bakersfield Condors11000000532110000005320000000000021.00059140013010192639980965101225338822100.00%40100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
3Belleville Senators4200020022175220000001147200002001113-260.7502236580013010192616798096510122514234439214321.43%15566.67%01456269354.07%1380253254.50%736135354.40%170112251642485873432
4Bridgeport Islanders330000001714322000000121021100000054161.000173148001301019261489809651012251355330797342.86%14657.14%01456269354.07%1380253254.50%736135354.40%170112251642485873432
5Calgary Wranglers10001000541100010005410000000000021.0005914001301019264198096510122544138216233.33%40100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
6Charlotte Checkers321000001815321100000111101100000074340.667183452001301019261519809651012251463323897571.43%7357.14%01456269354.07%1380253254.50%736135354.40%170112251642485873432
7Chicago Wolves10001000541000000000001000100054121.000591400130101926419809651012254513228100.00%10100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
8Coachella Valley Firebirds1010000034-11010000034-10000000000000.00036900130101926399809651012253514428300.00%20100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
9Colorado Eagles11000000514000000000001100000051421.000591400130101926439809651012253164275240.00%20100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
10Grand Rapids Griffins43000001201552200000011652100000199070.8752035550013010192615198096510122511834247313323.08%12466.67%01456269354.07%1380253254.50%736135354.40%170112251642485873432
11Hartford Wolf Pack30300000813-51010000025-32020000068-200.000816240013010192612098096510122510732188111218.18%8450.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
12Henderson Silver Knights1010000014-3000000000001010000014-300.00012300130101926429809651012253412815200.00%4175.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
13Hershey Bears303000001524-91010000078-120200000816-800.000152843001301019261119809651012251363320619333.33%8625.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
14Iowa Wild11000000862110000008620000000000021.0008132100130101926729809651012254310435300.00%20100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
15Laval Rocket422000002227-5211000001113-2211000001114-340.50022416300130101926167980965101225177622411313430.77%12558.33%01456269354.07%1380253254.50%736135354.40%170112251642485873432
16Lehigh Valley Phantoms33000000191272200000013851100000064261.00019325100130101926163980965101225133391868700.00%8275.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
17Manitoba Moose11000000541000000000001100000054121.00051015001301019264098096510122551128222150.00%4175.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
18Milwaukee Admirals1010000056-11010000056-10000000000000.0005914001301019264198096510122545910303133.33%5260.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
19Ontario Reign1010000067-1000000000001010000067-100.000691500130101926559809651012253812225100.00%10100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
20Providence Bruins312000001116-5211000009901010000027-520.333112031101301019269798096510122510332107810220.00%4325.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
21Rochester Americans404000001223-1120200000613-720200000610-400.000122335001301019261769809651012251775324100800.00%12466.67%21456269354.07%1380253254.50%736135354.40%170112251642485873432
22Rockford IceHogs1010000045-1000000000001010000045-100.0004711001301019264798096510122544178212150.00%3166.67%01456269354.07%1380253254.50%736135354.40%170112251642485873432
23San Diego Gulls1010000037-41010000037-40000000000000.00036900130101926399809651012253268263133.33%440.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
24San Jose Barracuda1010000025-3000000000001010000025-300.00023500130101926359809651012255112620400.00%30100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
25Springfield Thunderbirds303000001019-920200000714-71010000035-200.000101727101301019261219809651012251223520688337.50%10730.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
26Syracuse Crunch4310000023203211000001213-122000000117460.7502341640013010192615998096510122514839128811327.27%6433.33%01456269354.07%1380253254.50%736135354.40%170112251642485873432
27Texas Stars11000000752110000007520000000000021.00071219001301019264998096510122532144282150.00%20100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
28Toronto Marlies43100000141312110000068-22200000085360.750142539001301019261279809651012251282816847228.57%6183.33%01456269354.07%1380253254.50%736135354.40%170112251642485873432
29Tucson Roadrunners1010000067-1000000000001010000067-100.0006111700130101926599809651012254512418100.00%20100.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
30Utica Comets412000101416-22100001011832020000038-540.500142438001301019261479809651012251193526917228.57%10280.00%01456269354.07%1380253254.50%736135354.40%170112251642485873432
31Wilkes-Barre Penguins5400010026188210001001210233000000148690.90026467200130101926238980965101225247611614112216.67%7185.71%11456269354.07%1380253254.50%736135354.40%170112251642485873432
Total70333002311326338-1235181401110177175235151601201149163-14760.543326583909201301019262971980965101225277678041616941864725.27%1846763.59%31456269354.07%1380253254.50%736135354.40%170112251642485873432
_Since Last GM Reset70333002311326338-1235181401110177175235151601201149163-14760.543326583909201301019262971980965101225277678041616941864725.27%1846763.59%31456269354.07%1380253254.50%736135354.40%170112251642485873432
_Vs Conference54272200311251262-1128151100110141140126121100201110122-12600.556251449700201301019262243980965101225213860332413061443725.69%1395758.99%31456269354.07%1380253254.50%736135354.40%170112251642485873432
_Vs Division221410002111041013108500010574981265002014752-5330.75010418629000130101926968980965101225922266130549541222.22%562162.50%11456269354.07%1380253254.50%736135354.40%170112251642485873432

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7076W232658390929712776780416169420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7033302311326338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3518141110177175
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3515161201149163
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1864725.27%1846763.59%3
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
980965101225130101926
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
1456269354.07%1380253254.50%736135354.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170112251642485873432


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 - 2025-10-074Utica Comets4Cleveland Monsters5WXXSommaire du match
2 - 2025-10-0812Cleveland Monsters5Wilkes-Barre Penguins3WSommaire du match
6 - 2025-10-1237Cleveland Monsters3Syracuse Crunch1WSommaire du match
8 - 2025-10-1447Cleveland Monsters4Hershey Bears9LSommaire du match
10 - 2025-10-1658Springfield Thunderbirds7Cleveland Monsters3LSommaire du match
13 - 2025-10-1980Grand Rapids Griffins4Cleveland Monsters6WSommaire du match
15 - 2025-10-2189Cleveland Monsters2Utica Comets3LSommaire du match
18 - 2025-10-24109Cleveland Monsters4Toronto Marlies2WSommaire du match
20 - 2025-10-26122Toronto Marlies5Cleveland Monsters2LSommaire du match
24 - 2025-10-30149Providence Bruins5Cleveland Monsters3LSommaire du match
26 - 2025-11-01167Cleveland Monsters4Wilkes-Barre Penguins2WSommaire du match
28 - 2025-11-03178Cleveland Monsters4Grand Rapids Griffins5LXXSommaire du match
29 - 2025-11-04189Bridgeport Islanders5Cleveland Monsters6WSommaire du match
31 - 2025-11-06208Cleveland Monsters7Laval Rocket6WSommaire du match
33 - 2025-11-08221Lehigh Valley Phantoms3Cleveland Monsters4WSommaire du match
36 - 2025-11-11236Cleveland Monsters7Belleville Senators8LXSommaire du match
38 - 2025-11-13251Coachella Valley Firebirds4Cleveland Monsters3LSommaire du match
40 - 2025-11-15270Cleveland Monsters5Chicago Wolves4WXSommaire du match
42 - 2025-11-17281Bakersfield Condors3Cleveland Monsters5WSommaire du match
44 - 2025-11-19296Cleveland Monsters6Ontario Reign7LSommaire du match
46 - 2025-11-21308Cleveland Monsters5Bridgeport Islanders4WSommaire du match
47 - 2025-11-22317Grand Rapids Griffins2Cleveland Monsters5WSommaire du match
50 - 2025-11-25338Cleveland Monsters2San Jose Barracuda5LSommaire du match
52 - 2025-11-27348Charlotte Checkers4Cleveland Monsters5WSommaire du match
54 - 2025-11-29359Cleveland Monsters5Abbotsford Canucks4WSommaire du match
56 - 2025-12-01370Cleveland Monsters1Utica Comets5LSommaire du match
58 - 2025-12-03382Cleveland Monsters7Charlotte Checkers4WSommaire du match
59 - 2025-12-04387Laval Rocket5Cleveland Monsters6WSommaire du match
63 - 2025-12-08414Hershey Bears8Cleveland Monsters7LSommaire du match
65 - 2025-12-10430Cleveland Monsters4Hershey Bears7LSommaire du match
67 - 2025-12-12437Cleveland Monsters5Colorado Eagles1WSommaire du match
68 - 2025-12-13448Belleville Senators3Cleveland Monsters6WSommaire du match
73 - 2025-12-18479Wilkes-Barre Penguins4Cleveland Monsters7WSommaire du match
79 - 2025-12-24510Syracuse Crunch8Cleveland Monsters5LSommaire du match
82 - 2025-12-27534Bridgeport Islanders5Cleveland Monsters6WSommaire du match
84 - 2025-12-29545Cleveland Monsters5Wilkes-Barre Penguins3WSommaire du match
87 - 2026-01-01563Cleveland Monsters4Laval Rocket8LSommaire du match
88 - 2026-01-02572Calgary Wranglers4Cleveland Monsters5WXSommaire du match
92 - 2026-01-06592Cleveland Monsters4Toronto Marlies3WSommaire du match
94 - 2026-01-08604Cleveland Monsters6Tucson Roadrunners7LSommaire du match
95 - 2026-01-09610Laval Rocket8Cleveland Monsters5LSommaire du match
98 - 2026-01-12634Cleveland Monsters4Rockford IceHogs5LSommaire du match
99 - 2026-01-13637Wilkes-Barre Penguins6Cleveland Monsters5LXSommaire du match
103 - 2026-01-17666Syracuse Crunch5Cleveland Monsters7WSommaire du match
105 - 2026-01-19676Cleveland Monsters8Syracuse Crunch6WSommaire du match
108 - 2026-01-22692Cleveland Monsters4Hartford Wolf Pack5LSommaire du match
109 - 2026-01-23701Milwaukee Admirals6Cleveland Monsters5LSommaire du match
112 - 2026-01-26728Springfield Thunderbirds7Cleveland Monsters4LSommaire du match
115 - 2026-01-29744Cleveland Monsters1Henderson Silver Knights4LSommaire du match
117 - 2026-01-31759Lehigh Valley Phantoms5Cleveland Monsters9WSommaire du match
122 - 2026-02-05789Rochester Americans8Cleveland Monsters4LSommaire du match
124 - 2026-02-07806Cleveland Monsters2Hartford Wolf Pack3LSommaire du match
128 - 2026-02-11824Iowa Wild6Cleveland Monsters8WSommaire du match
131 - 2026-02-14848Rochester Americans5Cleveland Monsters2LSommaire du match
133 - 2026-02-16861Cleveland Monsters5Grand Rapids Griffins4WSommaire du match
135 - 2026-02-18876Cleveland Monsters5Manitoba Moose4WSommaire du match
137 - 2026-02-20887Utica Comets4Cleveland Monsters6WSommaire du match
142 - 2026-02-25916Toronto Marlies3Cleveland Monsters4WSommaire du match
146 - 2026-03-01943Cleveland Monsters2Providence Bruins7LSommaire du match
147 - 2026-03-02949San Diego Gulls7Cleveland Monsters3LSommaire du match
151 - 2026-03-06974Charlotte Checkers7Cleveland Monsters6LSommaire du match
153 - 2026-03-08986Cleveland Monsters3Springfield Thunderbirds5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-10998Cleveland Monsters4Belleville Senators5LXSommaire du match
157 - 2026-03-121012Providence Bruins4Cleveland Monsters6WSommaire du match
161 - 2026-03-161038Hartford Wolf Pack5Cleveland Monsters2LSommaire du match
164 - 2026-03-191055Cleveland Monsters3Rochester Americans4LSommaire du match
166 - 2026-03-211065Belleville Senators1Cleveland Monsters5WSommaire du match
168 - 2026-03-231081Cleveland Monsters3Rochester Americans6LSommaire du match
172 - 2026-03-271101Texas Stars5Cleveland Monsters7WSommaire du match
176 - 2026-03-311120Cleveland Monsters6Lehigh Valley Phantoms4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance201,78399,716
Assistance PCT96.09%94.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 8614 - 95.71% 431,385$15,098,460$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,405,260$ 1,531,264$ 1,531,264$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,405,260$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,651$ 0$




Cleveland Monsters Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Cleveland Monsters Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Cleveland Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Cleveland Monsters Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Cleveland Monsters Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA