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Cleveland Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: | Morale : 1 | Moyenne d’équipe : 56
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur général
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,650


Informations de la formation

Équipe Pro40
Équipe Mineure20
Limite contact 60 / 65
Espoirs33


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
1Daniel Zhilkin (R)0X100.00447150495845576450646969464540020590206831,667$
2Tyler Angle (R)0X100.00544369695863626352595652635050051590231850,833$
3Matt Beleskey0X100.00504361656463705055455460557565071580361775,000$
4Michael Grabner0XX100.00533575746568684947555152526048068570361775,000$
5Trevor Kuntar (R)0X100.00655853546961545356674069464549068570234867,500$
6Keean Washkurak (R)0X100.00595365686261596055525653615050052570221862,500$
7Nick Spaling0XXX100.00513575736567694952544948556048070560352775,000$
8Jakub Brebenec (R)0X100.00376045675258615152695453494545073560206828,333$
9Michael Schumacher0X100.00503575776165675045554947476048065560302775,000$
10Maksim Sushko (R)0X100.00633575735765684654475053486048068560251775,000$
11Andre Lee (R)0X100.00654663587061605840515254565050070560232883,750$
12Johan Sodergran (R)0XXX100.005635757262707051485045455560480185502431,000,000$
13Matthew Kessel (R)0X100.00555555555555555555555555555555066550241883,750$
14Mikey Milne (R)0X100.00555555555555555555555555555555068550213861,667$
15Matt D'Agostini0XXX100.00573575766368684947484946546048070550371775,000$
16Patrick Holland0X100.00503575766466654746485046516048059550321775,000$
17Sebastian Wannstrom0XXX100.00597375515456555464564956555958068550331775,000$
18Brennan Menell (R)0X100.00643575695759704549495254407358070590271775,000$
19Matthew Hellickson0X100.00574467676263615740515260595350020590263800,000$
20Luke Green0X100.00503575715460694753475358407358062590263800,000$
21Michael Paliotta0X100.00563575726451624652494852407358070580312775,000$
22Martin Marincin0X100.00593575685151704952475152407358071570322775,000$
23Shawn Lalonde0X100.00503575715056675453455151407358065570342775,000$
24Karl Alzner0X100.00603575725050704651464550407358065560351775,000$
25Topias Vilen (R)0X100.00476356526447626562685247574541018550216836,667$
Rayé
1Kevin Goumas0XXX100.00595969594965645459525255504444064550321775,000$
2Markus Granlund0XXX100.00503575765667665150455549456048020550311775,000$
3Jack Badini (R)0X100.00614569606563605450505054555350064550261815,000$
4Lance Bouma0XX100.00553575785065704753514646476048020540341775,000$
5Mikael Pyyhtia (R)0X100.00525564705247545854465255524547020540224897,500$
6Riley Kidney (R)0X100.00364146495950515057625958454553020540216836,667$
7Tyler Boucher (R)0X100.00683659546849585249494856574556020540216863,333$
8Miro Aaltonen0XXX100.00565555555555555550555555555050020540311775,000$
9Artem Grushnikov (R)0X100.00363670595848565465454548514550020500216814,167$
10Emil Johansson0X100.00434543454347434525454545255656020460281775,000$
11Ryan Culkin0X100.00454541454041404525454545255454020450302775,000$
MOYENNE D’ÉQUIPE100.0054456564585861525152515349575104955
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Louis Domingue0100.0071707168717273717271716558055700324775,000$
2Justus Annunen (R)0100.0070636871717173717270615150078680242775,000$
Rayé
1Antoine Bibeau0100.0071666567676567646567655952020650304775,000$
2Evan Smith (R)0100.0055555555555555555555555555020550272775,000$
MOYENNE D’ÉQUIPE100.006764656566666765666663585404365
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andre LeeCleveland Monsters (CBJ)LW232000-07-06Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm883,750$0$0$No883,750$--------883,750$--------No--------
Antoine BibeauCleveland Monsters (CBJ)G301994-05-01No205 Lbs6 ft3NoNoFree AgentNoNo42024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Artem GrushnikovCleveland Monsters (CBJ)D212003-03-20Yes180 Lbs6 ft2NoNoProspectNoNo62024-01-20FalseFalsePro & Farm814,167$0$0$No814,167$814,167$814,167$814,167$814,167$----814,167$814,167$814,167$814,167$814,167$----NoNoNoNoNo----
Brennan MenellCleveland Monsters (CBJ)D271997-05-24Yes177 Lbs5 ft11NoNoN/ANoNo12024-01-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Daniel ZhilkinCleveland Monsters (CBJ)C202003-12-19Yes185 Lbs6 ft3NoNoProspectNoNo62024-01-20FalseFalsePro & Farm831,667$0$0$No831,667$831,667$831,667$831,667$831,667$----831,667$831,667$831,667$831,667$831,667$----NoNoNoNoNo----
Emil JohanssonCleveland Monsters (CBJ)D281996-05-06No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Evan SmithCleveland Monsters (CBJ)G271997-02-27Yes180 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------
Jack BadiniCleveland Monsters (CBJ)C261998-01-19Yes203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm815,000$0$0$No---------------------------
Jakub BrebenecCleveland Monsters (CBJ)C202003-09-11Yes154 Lbs6 ft0NoNoProspectNoNo62024-01-20FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$828,333$828,333$----828,333$828,333$828,333$828,333$828,333$----NoNoNoNoNo----
Johan SodergranCleveland Monsters (CBJ)C/LW/RW241999-11-20Yes205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Justus AnnunenCleveland Monsters (CBJ)G242000-03-11Yes209 Lbs6 ft4NoNoN/ANoNo22024-01-20FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Karl AlznerCleveland Monsters (CBJ)D351988-09-24No213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Keean WashkurakCleveland Monsters (CBJ)C222001-08-16Yes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm862,500$0$0$No---------------------------
Kevin GoumasCleveland Monsters (CBJ)C/LW/RW321991-11-19No161 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Lance BoumaCleveland Monsters (CBJ)C/LW341990-03-25No208 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Louis DomingueCleveland Monsters (CBJ)G321992-03-06No207 Lbs6 ft3NoNoFree AgentNoNo42024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Luke GreenCleveland Monsters (CBJ)D261998-01-12No190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Maksim SushkoCleveland Monsters (CBJ)RW251999-02-10Yes188 Lbs6 ft0NoNoN/ANoNo12024-01-20FalseFalsePro & Farm775,000$0$0$No---------------------------
Markus GranlundCleveland Monsters (CBJ)C/LW/RW311993-04-16No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Martin MarincinCleveland Monsters (CBJ)D321992-02-18No217 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Matt BeleskeyCleveland Monsters (CBJ)LW361988-06-06No207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Matt D'AgostiniCleveland Monsters (CBJ)C/LW/RW371986-10-23No198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Matthew HellicksonCleveland Monsters (CBJ)D261998-03-21No183 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Matthew KesselCleveland Monsters (CBJ)RW242000-06-23Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm883,750$0$0$No---------------------------
Michael GrabnerCleveland Monsters (CBJ)LW/RW361987-10-05No188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Michael PaliottaCleveland Monsters (CBJ)D311993-04-06No212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Michael SchumacherCleveland Monsters (CBJ)LW301993-08-25No210 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Mikael PyyhtiaCleveland Monsters (CBJ)LW222001-12-17Yes154 Lbs6 ft0NoNoProspectNoNo42024-01-20FalseFalsePro & Farm897,500$0$0$No897,500$897,500$897,500$------897,500$897,500$897,500$------NoNoNo------
Mikey MilneCleveland Monsters (CBJ)LW212002-09-21Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm861,667$0$0$No861,667$861,667$-------861,667$861,667$-------NoNo-------
Miro AaltonenCleveland Monsters (CBJ)C/LW/RW311993-06-07No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Nick SpalingCleveland Monsters (CBJ)C/LW/RW351988-09-19No198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Patrick HollandCleveland Monsters (CBJ)RW321992-01-07No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Riley KidneyCleveland Monsters (CBJ)C212003-03-25Yes175 Lbs6 ft0NoNoProspectNoNo62024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$836,667$836,667$----836,667$836,667$836,667$836,667$836,667$----NoNoNoNoNo----
Ryan CulkinCleveland Monsters (CBJ)D301993-12-14No200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Sebastian WannstromCleveland Monsters (CBJ)C/LW/RW331991-03-02No180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Shawn LalondeCleveland Monsters (CBJ)D341990-03-10No204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Topias VilenCleveland Monsters (CBJ)D212003-04-01Yes194 Lbs6 ft1NoNoProspectNoNo62024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$836,667$836,667$----836,667$836,667$836,667$836,667$836,667$----NoNoNoNoNo----
Trevor KuntarCleveland Monsters (CBJ)C232001-06-20Yes205 Lbs6 ft0NoNoProspectNoNo42024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$------867,500$867,500$867,500$------NoNoNo------
Tyler AngleCleveland Monsters (CBJ)C232000-09-30Yes172 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------
Tyler BoucherCleveland Monsters (CBJ)RW212003-01-16Yes205 Lbs6 ft1NoNoProspectNoNo62024-01-20FalseFalsePro & Farm863,333$0$0$No863,333$863,333$863,333$863,333$863,333$----863,333$863,333$863,333$863,333$863,333$----NoNoNoNoNo----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4027.65192 Lbs6 ft12.48808,958$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt BeleskeyTrevor KuntarMichael Grabner40122
2Andre LeeJakub BrebenecMaksim Sushko30122
3Michael SchumacherKeean WashkurakNick Spaling20122
4Matt D'AgostiniTrevor KuntarMatthew Kessel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke GreenKarl Alzner40122
2Brennan MenellMichael Paliotta30122
3Martin MarincinShawn Lalonde20122
4Karl AlznerLuke Green10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt BeleskeyKeean WashkurakMichael Grabner60122
2Andre LeeTrevor KuntarMaksim Sushko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke GreenKarl Alzner60122
2Brennan MenellMichael Paliotta40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael GrabnerTrevor Kuntar60122
2Keean WashkurakMatt Beleskey40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke GreenMartin Marincin60122
2Brennan MenellMichael Paliotta40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Beleskey60122Luke GreenKarl Alzner60122
2Keean Washkurak40122Brennan MenellMichael Paliotta40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael GrabnerKeean Washkurak60122
2Trevor KuntarMatt Beleskey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke GreenShawn Lalonde60122
2Brennan MenellMichael Paliotta40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt BeleskeyKeean WashkurakMichael GrabnerLuke GreenBrennan Menell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt BeleskeyKeean WashkurakMichael GrabnerLuke GreenBrennan Menell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Keean Washkurak, Jakub Brebenec, Matt BeleskeyKeean Washkurak, Jakub BrebenecMatt Beleskey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Marincin, Shawn Lalonde, Karl AlznerMartin MarincinShawn Lalonde, Karl Alzner
Tirs de pénalité
Keean Washkurak, Jakub Brebenec, Michael Grabner, Matt Beleskey, Trevor Kuntar
Gardien
#1 : Louis Domingue, #2 : Justus Annunen
Lignes d’attaque personnalisées en prolongation
Maksim Sushko, Matt D'Agostini, Nick Spaling, Matt Beleskey, Trevor Kuntar, Michael Grabner, Michael Grabner, Keean Washkurak, Andre Lee, Michael Schumacher, Jakub Brebenec
Lignes de défense personnalisées en prolongation
Luke Green, Shawn Lalonde, Brennan Menell, Michael Paliotta, Martin Marincin


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets6040
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,235,834$ 3,190,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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