Connexion

Cleveland Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Tony Pisano | Morale : 50 | Moyenne d’équipe : 71

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTony Pisano
EntraîneurDan Bylsma
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure15
Limite Contrat28 / 50
Espoirs31


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique162-142-25 (0.492%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)3 - 8 (0.273%)
Coupe Stanley0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Felix Robert (R)X100.007345858265848671736967696977790506902711,000,000$
2Jordy Bellerive (R)X100.007364847877818669746766706780850506902711,400,000$
3Anders BjorkXXX100.00683092807573747070676471668986050680301850,000$
4Tristan AllardXX100.00674081758076786670656471617272050670241850,000$
5Nikita Pavlychev (R)X100.00804568728074756474626268646765050650291600,000$
6Michael Karow (R)X100.00715186787679786530635874487172050690282750,000$
Rayé
1Jan Jenik (R)XXX100.007845728078828472747067726777770507002600$
2Francesco ArcuriXX100.00703588767772706470636270586661050650231875,000$
3Denis Smirnov (R)XX100.00523097766973706260606066636262050620291800,000$
4Matthew Kessel (R)X100.007135877679848569306858784682820507212600$
5Jack St. Ivany (R)X100.007540848181848367306758774978840507212700$
MOYENNE D’ÉQUIPE100.0071428478767879676066627160757505068
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Spencer Martin100.00908586859088908989859494890508613111,000,000$
Rayé
1Adam Scheel (R)100.00898181868985878787838774730508302711,650,000$
MOYENNE D’ÉQUIPE100.009083848690878988888491848105085
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma80838282818650USA562900,000$


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
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 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 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
Adam ScheelCleveland Monsters (STL)G271999-05-01USAYes190 Lbs6 ft3NoNoN/ANoNo12024-07-15FalseFalsePro & Farm1,650,000$0$0$No---------------------------Lien / Lien NHL
Anders BjorkCleveland Monsters (STL)C/LW/RW301996-08-05USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-12FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Denis SmirnovCleveland Monsters (STL)LW/RW291997-08-12RUSYes180 Lbs5 ft9NoNoN/ANoNo12024-07-15FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Felix RobertCleveland Monsters (STL)C271999-07-24CANYes180 Lbs5 ft9NoNoN/ANoNo12024-07-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Francesco ArcuriCleveland Monsters (STL)C/LW232003-06-13CANNo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-12FalseFalsePro & Farm875,000$0$0$No---------------------------Lien / Lien NHL
Jack St. IvanyCleveland Monsters (STL)D271999-07-22USAYes197 Lbs6 ft4NoNoProspectNoNo02025-10-30FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jan JenikCleveland Monsters (STL)C/LW/RW262000-09-15CZEYes199 Lbs6 ft2NoNoProspectNoNo02025-11-09FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jordy BelleriveCleveland Monsters (STL)C271999-05-02CANYes195 Lbs5 ft10NoNoN/ANoNo12024-07-15FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien / Lien NHL
Matthew KesselCleveland Monsters (STL)D262000-06-23USAYes212 Lbs6 ft3NoNoProspectNoNo02025-11-05FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Michael KarowCleveland Monsters (STL)D281998-12-18USAYes200 Lbs6 ft2NoNoN/ANoNo22025-08-20FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nikita PavlychevCleveland Monsters (STL)C291997-03-23RUSYes200 Lbs6 ft7NoNoN/ANoNo12024-07-16FalseFalsePro & Farm600,000$0$0$No---------------------------Lien / Lien NHL
Spencer MartinCleveland Monsters (STL)G311995-06-08CANNo200 Lbs6 ft3NoNoN/ANoNo12024-07-16FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tristan AllardCleveland Monsters (STL)C/LW242002-06-23CANNo217 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-12FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1327.23197 Lbs6 ft10.85751,923$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
128023
2Anders BjorkJordy BelleriveFelix Robert28023
323032
4Felix Robert21032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
136032
234032
3Michael Karow30032
40032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordy Bellerive50014
2Felix Robert50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150023
250023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150032
2Jordy Bellerive50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Karow50032
250032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150032Michael Karow50032
25003250032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Felix Robert50023
250023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150023
250023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , Felix Robert, Jordy Bellerive
Gardien
#1 : , #2 : Spencer Martin


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
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 billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité 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$ 977,500$ 977,500$ 900,000$0$
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
1Felix Robert32262101163-29894507266649.34%60554917.2382230104000013647.42%00.59825
2Chad Ruhwedel32827123150221766783943657.40%384700921.37917261350553200%00.4300
3Zachary Senyshyn1644376119174631427541410.39%24281417.16813217300006348.60%00.85413
4Dysin Mayo32816100116-421164793513145.10%423697921.28523281340003210%00.3300
5Jayson Megna1634470114-124023938339611.11%31334320.51717244211225248.06%20.68314

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
1Spencer Martin1979189100.9112.67113482610504564307100.86775
2Adam Scheel72372560.9022.8442264020020320110.82752
3Michael Houser52291930.9082.6630412413514670000.86229
4Daniil Tarasov255950.9043.06129340666910210.63219

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
Saison régulière
2022823137012652222193411717011321171051241142000133105114-9832223796014687735511241081082674668245368739818952002814.00%1822984.07%41365281148.56%1394285548.83%616130647.17%1977137419315951072532
20238232310319625123714411812020811311042741141901115120133-13952514356864281867215241681781074694240270941320562113918.48%1852984.32%41367277849.21%1329276048.15%645128750.12%1985137919416001074535
202482284100265205260-554114220002394126-3241141900242111134-2375205362567307661629226876774674053254069737619121842614.13%1772784.75%11317267149.31%1423290848.93%599129346.33%1922132819866021068528
2025823533031822232194411915021311231051841161801051100114-14952233936161680666614222675072372171245073042419751633320.25%1953184.10%21269261148.60%1346283247.53%617129047.83%1922132919866021070532
Total Saison régulière3281261420762918901935-3416468660521674654402516458760241311436495-59348901156924701214324286255499320314431052953286984528231611783875812616.62%73911684.30%1153181087148.92%54921135548.37%2477517647.86%780854127845240142862128
Séries éliminatoires
2023514000001620-42110000076130300000914-5216294500349015758315414188453013012541.67%14378.57%08418445.65%9719848.99%318138.27%12686136386934
2025624000001416-230300000710-332100000761414264000464015458364218206573913917211.76%11463.64%07419038.95%10324941.37%5010249.02%152103161519045
Total Séries éliminatoires1138000003036-6514000001416-2624000001620-46305585007101303111166796323941026926929724.14%25772.00%015837442.25%20044744.74%8118344.26%2791902988916080

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
1Felix Robert11358-3419172412.50%325623.30112100000044.36%00.6200
2Zachary Senyshyn5257-1014141612.50%19218.56213300001050.00%01.5100
3Michael Karow11246281313728.57%1122920.8710120000000%00.5200
4Taro Hirose5145-1026224.55%19418.89033200000041.67%01.0600
5Kevin Labanc6325220142910.34%213222.13000500000043.44%00.7500

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
1Michael Houser62120.9182.51358001518400000
2Adam Scheel51220.8903.72290401816400000
3Spencer Martin20010.9352.07870034600000