CLEVELAND Monsters

GP: 70 | W: 13 | L: 56 | OTL: 1 | P: 27
GF: 152 | GA: 653 | PP%: 12.09% | PK%: 62.32%
DG: Benoit Paulin | Morale : 81 | Moyenne d'Équipe : 62
Prochain matchs #918 vs SYRACUSE Crunch
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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 SP
1Adam Erne0X100.008444686880767867686864636655517596690
2Tyson Jost0X100.006235756771789166686764596556528696680
3Nail Yakupov0X100.006742787168767567306566607064578899670
4Henrik Borgstrom (R)0X100.005735757081698769736463586552518196670
5Brett Ritchie0X100.008350646390746662556263606360537079660
6Cole Cassels0XX100.005546626066568656675854605450504479600
7Nikita Scherbak0X100.005535716379565463505757525751507899580
8T.J. Tynan0X100.004635757655485260445753555762516399570
9Joe Morrow0X100.006647736474755464306258676656526979630
10Ryan Murphy0X100.005135686769505167304742525257528179550
11Julius Bergman0X100.005489705878445058304540505050504399520
12Nick Ebert0X100.005135746771464749303332564958417999500
Rayé
MOYENNE D'ÉQUIPE100.00614471667462666248575558605651719261
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 SP
1Garret Sparks100.00827189848180828180817553684799710
2Spencer Martin100.00756297857474757474746950636699660
3Jon Gillies100.00716988977070717070706651616380640
Rayé
MOYENNE D'ÉQUIPE100.0076679189757576757575705164599367
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Veilleux68686868707078CAN47375,000$


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 RitchieCLEVELAND Monsters (CBJ)RW709026116-1048025511047713730918.87%110130618.6642616520002357256.64%143001141.78110001450
2Joe MorrowCLEVELAND Monsters (CBJ)D70135467-385401866213438879.70%119120817.274591735000117000.00%000011.1100000056
3Ryan MurphyCLEVELAND Monsters (CBJ)D7074552-4022056388735698.05%76120917.282681335000117020.00%000000.8600000014
4Cole CasselsCLEVELAND Monsters (CBJ)C/RW7018294726201058136458813.24%254466.37000000000142166.72%61600002.1100000035
Stats d'équipe Total ou en Moyenne280128154282-62126050726883425555315.35%330417014.90101323461240004859564.82%759001151.3511000141415
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam ErneCLEVELAND Monsters (CBJ)LW241995-04-20No97 Kg185 CMNoNoNo2Avec RestrictionPro & Farm1,800,000$0$0$NoLien
Brett RitchieCLEVELAND Monsters (CBJ)RW261993-07-01No100 Kg193 CMNoNoNo4Avec RestrictionPro & Farm1,750,000$0$0$NoLien
Cole CasselsCLEVELAND Monsters (CBJ)C/RW241995-05-04No82 Kg183 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Garret SparksCLEVELAND Monsters (CBJ)G261993-06-28No91 Kg191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Henrik BorgstromCLEVELAND Monsters (CBJ)C221997-08-06Yes86 Kg191 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Joe MorrowCLEVELAND Monsters (CBJ)D261992-12-09No89 Kg183 CMNoNoNo1Avec RestrictionPro & Farm715,000$0$0$NoLien
Jon GilliesCLEVELAND Monsters (CBJ)G251994-01-22No101 Kg198 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Julius BergmanCLEVELAND Monsters (CBJ)D231995-11-02No93 Kg185 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Nail YakupovCLEVELAND Monsters (CBJ)RW251993-10-06No89 Kg180 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Nick EbertCLEVELAND Monsters (CBJ)D251994-05-11No93 Kg183 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Nikita ScherbakCLEVELAND Monsters (CBJ)RW231995-12-30No87 Kg188 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Ryan MurphyCLEVELAND Monsters (CBJ)D261993-03-31No82 Kg180 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Spencer MartinCLEVELAND Monsters (CBJ)G241995-06-08No95 Kg191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
T.J. TynanCLEVELAND Monsters (CBJ)C271992-02-25No75 Kg173 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Tyson JostCLEVELAND Monsters (CBJ)C211998-03-14No87 Kg180 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.4790 Kg185 CM1.47884,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett Ritchie31122
226122
3Brett RitchieCole Cassels23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowRyan Murphy31122
226122
3Joe MorrowRyan Murphy23122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowRyan Murphy55122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowRyan Murphy55122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Ritchie55122Joe MorrowRyan Murphy55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowRyan Murphy55122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett RitchieJoe MorrowRyan Murphy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett RitchieJoe MorrowRyan Murphy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Cole Cassels, Cole Cassels
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joe Morrow, Ryan Murphy, Joe MorrowRyan Murphy,
Tirs de Pénalité
Brett Ritchie, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
Brett Ritchie, , , , , , , , , Cole Cassels,
Lignes de Défense Perso. en Prol.
Joe Morrow, Ryan Murphy, , ,


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
LigueDomicileVisiteur
# 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
1BELLEVILLE Senators20200000820-1210100000411-71010000049-500.00081119006845381784354795501411232166022100.00%6266.67%0356110232.30%404171823.52%387136728.31%9697082577411659242
2BRIDGEPORT Sound Tigers30300000237-3520200000124-2310100000113-1200.0002460068453812543547955014257836262150.00%3233.33%0356110232.30%404171823.52%387136728.31%9697082577411659242
3BROOKLYN Wolfpack44000000331320220000001569220000001871181.000335285006845381255435479550141575121255360.00%000.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
4CHICAGO Wolves413000001137-2620200000222-2021100000915-620.2501121320068453811124354795501429667247200.00%110.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
5COLORADO Eagles30300000126-2520200000017-171010000019-800.000123006845381174354795501417359827600.00%30100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
6CORNWALL Aces330000002216611000000761220000001510561.00022386000684538116043547955014127348622150.00%40100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
7HERSEY Bears40400000139-3820200000117-1620200000022-2200.0001120068453815143547955014291801233400.00%6350.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
8HOLLYWOOD Oscar2100001014113100000106511100000086241.000142337006845381168435479550149226252100.00%10100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
9IOWA Wild30300000041-4120200000028-2810100000013-1300.000000006845381164354795501425267629400.00%30100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
10LAVAL Rockets50500000451-4730300000127-2620200000324-2100.0004610006845381374354795501436012816391417.14%7357.14%0356110232.30%404171823.52%387136728.31%9697082577411659242
11LEHIGH VALLEY Phantoms20200000221-191010000027-510100000014-1400.000235006845381194354795501414344216000.00%000.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
12MANITOBA Moose20200000121-2010100000111-1010100000010-1000.000112006845381174354795501415430224200.00%110.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
13MILWAUKEE Admirals40400000145-4420200000023-2320200000122-2100.000112006845381404354795501429881230700.00%110.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
14MONT-LAURIER Sommet20200000118-171010000008-810100000110-900.000123006845381194354795501416251019400.00%000.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
15PROVIDENCE Bruins31200000830-221100000076120200000124-2320.33381422006845381624354795501422254439300.00%110.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
16PV Sharapovas10100000011-110000000000010100000011-1100.000000006845381943547955014711847300.00%2150.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
17ROCKFORD IceHogs40400000436-3220200000220-1820200000216-1400.00048120068453811643547955014260701034500.00%6266.67%0356110232.30%404171823.52%387136728.31%9697082577411659242
18SAN DIEGO Gulls311001001012-21100000042220100100610-430.5001018280068453811544354795501415338682000.00%30100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
19STOCKTON Flames20200000124-2310100000011-1110100000113-1200.000112006845381184354795501415041413100.00%2150.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
20SYRACUSE Crunch10100000112-1110100000112-110000000000000.0001230068453811043547955014883568200.00%3233.33%0356110232.30%404171823.52%387136728.31%9697082577411659242
21TORONTO Marlies202000001119-81010000049-510100000710-300.0001117280068453814343547955014128350405240.00%000.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
22TUSCON Roadrunners40400000443-3920200000122-2120200000321-1800.00047110068453815543547955014277772561000.00%20100.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
Total70125600110152653-501356280001064322-258356280010088331-243270.19315225040210684538114764354795501447481353148967911112.09%692662.32%0356110232.30%404171823.52%387136728.31%9697082577411659242
24UTICA Comets30300000134-3310100000012-1220200000122-2100.00011200684538117435479550142497822366116.67%11554.55%0356110232.30%404171823.52%387136728.31%9697082577411659242
25VICTORIAVILLE Tigres20200000026-2610100000014-1410100000012-1200.00000000684538164354795501418650620100.00%3166.67%0356110232.30%404171823.52%387136728.31%9697082577411659242
26WILKIES-BARRIE Penguins2110000011101110000005231010000068-220.50011172810684538172435479550149024043000.00%000.00%0356110232.30%404171823.52%387136728.31%9697082577411659242
_Since Last GM Reset70125600110152653-501356280001064322-258356280010088331-243270.19315225040210684538114764354795501447481353148967911112.09%692662.32%0356110232.30%404171823.52%387136728.31%9697082577411659242
_Vs Conference447360010080403-323224180000034198-164223180010046205-159150.17080135215006845381841435479550142993866925746469.38%441859.09%0356110232.30%404171823.52%387136728.31%9697082577411659242
_Vs Division165130000031142-111735000001160-49928000002082-62100.313315283006845381431435479550141083311362582214.55%19668.42%0356110232.30%404171823.52%387136728.31%9697082577411659242

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7027L415225040214764748135314896710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7012560110152653
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35628001064322
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
35628010088331
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
911112.09%692662.32%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
435479550146845381
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
356110232.30%404171823.52%387136728.31%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9697082577411659242


Derniers Match 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 - 2019-07-3012CLEVELAND Monsters7TORONTO Marlies10LSommaire du Match
2 - 2019-07-3120LAVAL Rockets11CLEVELAND Monsters0LSommaire du Match
3 - 2019-08-0138BROOKLYN Wolfpack3CLEVELAND Monsters6WSommaire du Match
4 - 2019-08-0244CLEVELAND Monsters2TUSCON Roadrunners10LSommaire du Match
5 - 2019-08-0354CLEVELAND Monsters0CHICAGO Wolves10LSommaire du Match
7 - 2019-08-0566PROVIDENCE Bruins6CLEVELAND Monsters7WSommaire du Match
9 - 2019-08-0791ROCKFORD IceHogs12CLEVELAND Monsters1LSommaire du Match
10 - 2019-08-08102CLEVELAND Monsters0MILWAUKEE Admirals11LSommaire du Match
12 - 2019-08-10116COLORADO Eagles7CLEVELAND Monsters0LSommaire du Match
13 - 2019-08-11129CLEVELAND Monsters7CORNWALL Aces6WSommaire du Match
14 - 2019-08-12136LAVAL Rockets10CLEVELAND Monsters0LSommaire du Match
15 - 2019-08-13151CLEVELAND Monsters1ROCKFORD IceHogs6LSommaire du Match
17 - 2019-08-15159CLEVELAND Monsters0UTICA Comets14LR3Sommaire du Match
18 - 2019-08-16171CLEVELAND Monsters9CHICAGO Wolves5WSommaire du Match
19 - 2019-08-17182HERSEY Bears10CLEVELAND Monsters1LSommaire du Match
21 - 2019-08-19203LAVAL Rockets6CLEVELAND Monsters1LSommaire du Match
22 - 2019-08-20211HOLLYWOOD Oscar5CLEVELAND Monsters6WXXSommaire du Match
24 - 2019-08-22223CLEVELAND Monsters1MONT-LAURIER Sommet10LSommaire du Match
25 - 2019-08-23244SYRACUSE Crunch12CLEVELAND Monsters1LSommaire du Match
26 - 2019-08-24255CLEVELAND Monsters0PV Sharapovas11LSommaire du Match
27 - 2019-08-25268BELLEVILLE Senators11CLEVELAND Monsters4LR3Sommaire du Match
28 - 2019-08-26277CLEVELAND Monsters1ROCKFORD IceHogs10LSommaire du Match
29 - 2019-08-27291CLEVELAND Monsters0MANITOBA Moose10LSommaire du Match
30 - 2019-08-28304WILKIES-BARRIE Penguins2CLEVELAND Monsters5WSommaire du Match
31 - 2019-08-29315CLEVELAND Monsters6WILKIES-BARRIE Penguins8LSommaire du Match
32 - 2019-08-30327MILWAUKEE Admirals12CLEVELAND Monsters0LSommaire du Match
34 - 2019-09-01347LEHIGH VALLEY Phantoms7CLEVELAND Monsters2LSommaire du Match
35 - 2019-09-02360CLEVELAND Monsters8BROOKLYN Wolfpack4WSommaire du Match
36 - 2019-09-03371CLEVELAND Monsters8CORNWALL Aces4WSommaire du Match
37 - 2019-09-04381MONT-LAURIER Sommet8CLEVELAND Monsters0LSommaire du Match
39 - 2019-09-06398IOWA Wild14CLEVELAND Monsters0LSommaire du Match
40 - 2019-09-07406CLEVELAND Monsters8HOLLYWOOD Oscar6WSommaire du Match
42 - 2019-09-09424BRIDGEPORT Sound Tigers12CLEVELAND Monsters0LSommaire du Match
44 - 2019-09-11441CLEVELAND Monsters1UTICA Comets8LR3Sommaire du Match
45 - 2019-09-12449CLEVELAND Monsters0IOWA Wild13LSommaire du Match
46 - 2019-09-13462MANITOBA Moose11CLEVELAND Monsters1LSommaire du Match
47 - 2019-09-14477BROOKLYN Wolfpack3CLEVELAND Monsters9WSommaire du Match
48 - 2019-09-15491CLEVELAND Monsters4BELLEVILLE Senators9LR3Sommaire du Match
49 - 2019-09-16499IOWA Wild14CLEVELAND Monsters0LSommaire du Match
50 - 2019-09-17517CLEVELAND Monsters2LAVAL Rockets12LSommaire du Match
52 - 2019-09-19527CLEVELAND Monsters0HERSEY Bears11LSommaire du Match
53 - 2019-09-20538CLEVELAND Monsters1TUSCON Roadrunners11LSommaire du Match
54 - 2019-09-21545CHICAGO Wolves11CLEVELAND Monsters1LSommaire du Match
55 - 2019-09-22564TUSCON Roadrunners12CLEVELAND Monsters0LSommaire du Match
58 - 2019-09-25581CLEVELAND Monsters0LEHIGH VALLEY Phantoms14LSommaire du Match
59 - 2019-09-26588ROCKFORD IceHogs8CLEVELAND Monsters1LSommaire du Match
61 - 2019-09-28604CLEVELAND Monsters1BRIDGEPORT Sound Tigers13LSommaire du Match
63 - 2019-09-30619CLEVELAND Monsters1LAVAL Rockets12LSommaire du Match
64 - 2019-10-01623TUSCON Roadrunners10CLEVELAND Monsters1LSommaire du Match
65 - 2019-10-02637CLEVELAND Monsters0PROVIDENCE Bruins11LSommaire du Match
67 - 2019-10-04648TORONTO Marlies9CLEVELAND Monsters4LSommaire du Match
68 - 2019-10-05663CLEVELAND Monsters4SAN DIEGO Gulls5LXSommaire du Match
69 - 2019-10-06672SAN DIEGO Gulls2CLEVELAND Monsters4WSommaire du Match
71 - 2019-10-08689BRIDGEPORT Sound Tigers12CLEVELAND Monsters1LSommaire du Match
73 - 2019-10-10700CLEVELAND Monsters1STOCKTON Flames13LSommaire du Match
74 - 2019-10-11716STOCKTON Flames11CLEVELAND Monsters0LSommaire du Match
76 - 2019-10-13736MILWAUKEE Admirals11CLEVELAND Monsters0LSommaire du Match
77 - 2019-10-14751CLEVELAND Monsters1COLORADO Eagles9LSommaire du Match
78 - 2019-10-15762CORNWALL Aces6CLEVELAND Monsters7WSommaire du Match
80 - 2019-10-17775CLEVELAND Monsters1MILWAUKEE Admirals11LSommaire du Match
81 - 2019-10-18786CLEVELAND Monsters0HERSEY Bears11LSommaire du Match
82 - 2019-10-19797COLORADO Eagles10CLEVELAND Monsters0LSommaire du Match
83 - 2019-10-20809CLEVELAND Monsters0VICTORIAVILLE Tigres12LSommaire du Match
84 - 2019-10-21822HERSEY Bears7CLEVELAND Monsters0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22827CLEVELAND Monsters1PROVIDENCE Bruins13LSommaire du Match
86 - 2019-10-23847CLEVELAND Monsters10BROOKLYN Wolfpack3WSommaire du Match
87 - 2019-10-24854CHICAGO Wolves11CLEVELAND Monsters1LSommaire du Match
90 - 2019-10-27873UTICA Comets12CLEVELAND Monsters0LR3Sommaire du Match
91 - 2019-10-28891CLEVELAND Monsters2SAN DIEGO Gulls5LSommaire du Match
93 - 2019-10-30904VICTORIAVILLE Tigres14CLEVELAND Monsters0LSommaire du Match
94 - 2019-10-31918CLEVELAND Monsters-SYRACUSE Crunch-
95 - 2019-11-01927SAN DIEGO Gulls-CLEVELAND Monsters-
98 - 2019-11-04949UTICA Comets-CLEVELAND Monsters-
99 - 2019-11-05955CLEVELAND Monsters-CHICAGO Wolves-
101 - 2019-11-07969PROVIDENCE Bruins-CLEVELAND Monsters-
104 - 2019-11-10993PV Sharapovas-CLEVELAND Monsters-
105 - 2019-11-11999CLEVELAND Monsters-COLORADO Eagles-
106 - 2019-11-121009CLEVELAND Monsters-BRIDGEPORT Sound Tigers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,218,114$ 1,326,500$ 1,326,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,152,921$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 13,098$ 183,372$




LigueDomicileVisiteur
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
3270125600110152653-501356280001064322-258356280010088331-2432715225040210684538114764354795501447481353148967911112.09%692662.32%0356110232.30%404171823.52%387136728.31%9697082577411659242
Total Saison Régulière70125600110152653-501356280001064322-258356280010088331-2432715225040210684538114764354795501447481353148967911112.09%692662.32%0356110232.30%404171823.52%387136728.31%9697082577411659242