Connexion

Cleveland Monsters
GP: 25 | W: 16 | L: 9
GF: 43 | GA: 30 | PP%: 17.92% | PK%: 91.03%
DG: Alexandre Fyfe | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Utica Comets
14-7-0, 28pts
2
FINAL
1 Cleveland Monsters
16-9-0, 32pts
Team Stats
L1SéquenceW1
8-3-0Fiche domicile8-5-0
6-4-0Fiche domicile8-4-0
5-3-2Derniers 10 matchs7-2-1
1.86Buts par match 1.72
1.48Buts contre par match 1.20
4.65%Pourcentage en avantage numérique17.92%
89.01%Pourcentage en désavantage numérique91.03%
Cleveland Monsters
16-9-0, 32pts
1
FINAL
0 Utica Comets
14-7-0, 28pts
Team Stats
W1SéquenceL1
8-5-0Fiche domicile8-3-0
8-4-0Fiche domicile6-4-0
7-2-1Derniers 10 matchs5-3-2
1.72Buts par match 1.86
1.20Buts contre par match 1.48
17.92%Pourcentage en avantage numérique4.65%
91.03%Pourcentage en désavantage numérique89.01%
Meneurs d'équipe
Buts
Phillip Di Giuseppe
16
Passes
Chad Ruhwedel
14
Points
Phillip Di Giuseppe
23
Plus/Moins
Phillip Di Giuseppe
9
Victoires
Scott Wedgewood
16
Pourcentage d’arrêts
Scott Wedgewood
0.937

Statistiques d’équipe
Buts pour
43
1.72 GFG
Tirs pour
364
14.56 Avg
Pourcentage en avantage numérique
17.9%
19 GF
Début de zone offensive
36.1%
Buts contre
30
1.20 GAA
Tirs contre
477
19.08 Avg
Pourcentage en désavantage numérique
91.0%%
13 GA
Début de la zone défensive
45.1%
Informations de l'équipe

Directeur généralAlexandre Fyfe
EntraîneurColumbus
DivisionCENTRAL
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,998
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs15


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
1Drew StaffordXX100.00403540403580904020404040302525115000371750,000$
2Nathan GerbeX100.00403540403580904020404040302525115000361750,000$
3Brandon PirriXXX100.00403540403580904020404040302525115000331775,000$
4Tye McGinnX100.00403540403580904020404040302525115000331750,000$
5Jordan SzwarzX100.00403540403580904020404040302525115000321750,000$
6Paul CareyX100.00403540403580904020404040302525115000351750,000$
7Danick MartelX100.00573971586690785761595756606971365000283950,000$
8Austin CzarnikXX100.006135946563808467716663626471733444003021,500,000$
9Phillip Di GiuseppeX100.00743977677388806966676870697172603700291700,000$
10Michael PezzettaX100.00907864657973836457616256606567474800251750,000$
11Vasily Podkolzin (R)X100.00673890687580886663626461676264864800221925,000$
12Alexander PetrovicX100.00817172599068865830575561477173595000313900,000$
13Chad RuhwedelX100.00803492637186835930675779497573264600331700,000$
14Andreas Englund (R)X100.00805362608178825930615864496769643500272700,000$
15Dennis Cholowski (R)X100.00693890678283816530685861506567795000252750,000$
16Gustav LindstromX100.00653687657886786330725466496567723500243850,000$
17Jordan Spence (R)X100.00633785666790856430696062516264651500222750,000$
Rayé
1Brandon DavidsonX100.00734271548265705330555456467274305000321750,000$
2Zach TrotmanX100.00403540403580904020404040302525115000331750,000$
3Luke WitkowskiX100.00714167568271765430525056457375295000351750,000$
MOYENNE D’ÉQUIPE100.0061416555628084543555525546535438450
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
1Scott Wedgewood100.0071897581747880808167817285992400312700,000$
2Cale Morris (R)100.0052855775535555565644616877374600272750,000$
Rayé
MOYENNE D’ÉQUIPE100.006287667864676868695671708168350
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Columbus30303030303011CAN43140,000$


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
1Phillip Di GiuseppeCleveland Monsters (CBJ)LW25167239280565081246819.75%549119.6664102083000003254.84%3100000.9400000425
2Chad RuhwedelCleveland Monsters (CBJ)D2521416310023303111216.45%2857322.9426823840000112200%000000.5600000112
3Jordan SpenceCleveland Monsters (CBJ)D2511314219517192110184.76%2661024.4108816900000130000%000100.4600001021
4Austin CzarnikCleveland Monsters (CBJ)C/RW25651126074452193011.54%244917.9843714870005843165.22%41400000.4900000040
5Andreas EnglundCleveland Monsters (CBJ)D2537104581057232471812.50%1054321.742461683000087100%000000.3700101010
6Michael PezzettaCleveland Monsters (CBJ)LW25459-45358537618416.56%042316.961341580000002165.38%2600000.4200100112
7Vasily PodkolzinCleveland Monsters (CBJ)RW251675951311153186.67%32038.131232150001330050.00%2200000.6900001100
8Danick MartelCleveland Monsters (CBJ)LW25426325528253172412.90%338415.3600014000163076.92%1300000.3100010021
9Gustav LindstromCleveland Monsters (CBJ)D25066126025263330%1841916.7600013000024000%000000.2900000000
10Alexander PetrovicCleveland Monsters (CBJ)D25325257579201841316.67%1756922.7720212840000102100%000000.1800001101
11Dennis CholowskiCleveland Monsters (CBJ)D251452100311484412.50%1245018.0200029000055000%000000.2200000001
12Brandon PirriCleveland Monsters (CBJ)C/LW/RW25134-300144151820.00%158923.5712338600001411036.77%65000000.1400000000
13Drew StaffordCleveland Monsters (CBJ)LW/RW25033-3201256240%358223.3103338600001380035.00%4000000.1000000001
14Nathan GerbeCleveland Monsters (CBJ)C25112280211940125.00%037114.8800001000000034.23%26000000.1100000001
15Tye McGinnCleveland Monsters (CBJ)LW2500021001122220%046418.590000870000990042.31%260000000000000
16Jordan SzwarzCleveland Monsters (CBJ)RW2500021402562000%137214.9100001000010031.25%160000000000000
17Paul CareyCleveland Monsters (CBJ)C25000520590000%01435.7500000000000031.13%1060000000000000
Statistiques d’équipe totales ou en moyenne4254378121343373550938136410527311.81%129764317.981935541288900007101716444.64%160400100.320021481315
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
1Scott WedgewoodCleveland Monsters (CBJ)2516810.9371.141582083047700000250722
Statistiques d’équipe totales ou en moyenne2516810.9371.14158208304770000250722


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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Alexander PetrovicCleveland Monsters (CBJ)D313/3/1992No216 Lbs6 ft4NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Andreas EnglundCleveland Monsters (CBJ)D271/21/1996Yes189 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Austin CzarnikCleveland Monsters (CBJ)C/RW3012/12/1992No170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Brandon DavidsonCleveland Monsters (CBJ)D328/21/1991No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brandon PirriCleveland Monsters (CBJ)C/LW/RW334/10/1990No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Cale MorrisCleveland Monsters (CBJ)G275/22/1996Yes190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Chad RuhwedelCleveland Monsters (CBJ)D335/7/1990No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Danick MartelCleveland Monsters (CBJ)LW2812/12/1994No184 Lbs5 ft9NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------Lien
Dennis CholowskiCleveland Monsters (CBJ)D252/15/1998Yes210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Drew StaffordCleveland Monsters (CBJ)LW/RW377/28/1986No214 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Gustav LindstromCleveland Monsters (CBJ)D2410/20/1998No186 Lbs6 ft2NoNoN/ANoNo3Pro & Farm850,000$0$0$No850,000$850,000$-------NoNo-------Lien
Jordan SpenceCleveland Monsters (CBJ)D222/24/2001Yes180 Lbs5 ft10NoNoTrade2/19/2024NoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jordan SzwarzCleveland Monsters (CBJ)RW325/14/1991No192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Luke WitkowskiCleveland Monsters (CBJ)D359/13/1988No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Michael PezzettaCleveland Monsters (CBJ)LW253/13/1998No210 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nathan GerbeCleveland Monsters (CBJ)C367/28/1987No176 Lbs5 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Paul CareyCleveland Monsters (CBJ)C359/24/1988No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Phillip Di GiuseppeCleveland Monsters (CBJ)LW2910/9/1993No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Scott WedgewoodCleveland Monsters (CBJ)G318/14/1992No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Tye McGinnCleveland Monsters (CBJ)LW337/29/1990No218 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Vasily PodkolzinCleveland Monsters (CBJ)RW226/24/2001Yes190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Zach TrotmanCleveland Monsters (CBJ)D338/26/1990No217 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.00197 Lbs6 ft11.55804,545$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew StaffordBrandon PirriMichael Pezzetta38122
2Tye McGinnAustin CzarnikPhillip Di Giuseppe30122
3Danick MartelNathan GerbeJordan Szwarz22122
4Phillip Di GiuseppePaul CareyVasily Podkolzin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicJordan Spence38122
2Chad RuhwedelAndreas Englund30122
3Dennis CholowskiGustav Lindstrom22122
4Jordan SpenceAlexander Petrovic10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew StaffordBrandon PirriPhillip Di Giuseppe60122
2Tye McGinnAustin CzarnikMichael Pezzetta40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicJordan Spence60122
2Chad RuhwedelAndreas Englund40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriDrew Stafford60122
2Austin CzarnikTye McGinn40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicJordan Spence60122
2Chad RuhwedelAndreas Englund40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brandon Pirri60122Alexander PetrovicJordan Spence60122
2Austin Czarnik40122Chad RuhwedelAndreas Englund40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriDrew Stafford60122
2Austin CzarnikTye McGinn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicJordan Spence60122
2Chad RuhwedelAndreas Englund40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew StaffordBrandon PirriPhillip Di GiuseppeAlexander PetrovicJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew StaffordBrandon PirriMichael PezzettaAlexander PetrovicJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vasily Podkolzin, Tye McGinn, Danick MartelVasily Podkolzin, Tye McGinnVasily Podkolzin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dennis Cholowski, Gustav Lindstrom, Jordan SpenceDennis CholowskiDennis Cholowski, Gustav Lindstrom
Tirs de pénalité
Brandon Pirri, Drew Stafford, Austin Czarnik, Jordan Szwarz, Vasily Podkolzin
Gardien
#1 : Scott Wedgewood, #2 : Cale Morris


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
1Henderson Silver Knights642000001495321000006603210000083580.667142741031291847312311110525104259011225624.00%33487.88%026857946.29%31772443.78%13130143.52%644456635181305154
2Ontario Reign743000001064422000006423210000042280.571101828021291849912311110525130328213330516.67%34294.12%026857946.29%31772443.78%13130143.52%644456635181305154
3San Jose Barracuda642000001082321000006513210000043180.667101727011291848912311110525117309112526623.08%41685.37%026857946.29%31772443.78%13130143.52%644456635181305154
4Utica Comets64200000972321000006513210000032180.66791625021291841031231111052512642741392528.00%37197.30%026857946.29%31772443.78%13130143.52%644456635181305154
Total25169000004330131385000002420412840000019109320.640437812108129184364123111105254771293375091061917.92%1451391.03%026857946.29%31772443.78%13130143.52%644456635181305154
_Since Last GM Reset25169000004330131385000002420412840000019109320.640437812108129184364123111105254771293375091061917.92%1451391.03%026857946.29%31772443.78%13130143.52%644456635181305154
_Vs Conference191270000034231110640000018153963000001688240.632346296061291842611231111052535187263370811720.99%1081288.89%026857946.29%31772443.78%13130143.52%644456635181305154

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2532W1437812136447712933750908
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2516900004330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138500002420
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
128400001910
Derniers 10 matchs
WLOTWOTL SOWSOL
522100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1061917.92%1451391.03%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
12311110525129184
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
26857946.29%31772443.78%13130143.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
644456635181305154


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
28Cleveland Monsters2San Jose Barracuda1AWSommaire du match
416Cleveland Monsters0San Jose Barracuda2ALSommaire du match
624San Jose Barracuda2Cleveland Monsters3BWXSommaire du match
832San Jose Barracuda2Cleveland Monsters1BLSommaire du match
1040Cleveland Monsters2San Jose Barracuda0AWSommaire du match
1248San Jose Barracuda1Cleveland Monsters2BWXSommaire du match
1660Ontario Reign0Cleveland Monsters2BWSommaire du match
1864Ontario Reign1Cleveland Monsters0BLSommaire du match
2068Cleveland Monsters3Ontario Reign1AWSommaire du match
2272Cleveland Monsters1Ontario Reign0AWSommaire du match
2476Ontario Reign2Cleveland Monsters0BLSommaire du match
2680Cleveland Monsters0Ontario Reign1ALSommaire du match
2884Ontario Reign1Cleveland Monsters4BWSommaire du match
3086Henderson Silver Knights5Cleveland Monsters1BLSommaire du match
3288Henderson Silver Knights0Cleveland Monsters3BWSommaire du match
3490Cleveland Monsters2Henderson Silver Knights0AWSommaire du match
3692Cleveland Monsters2Henderson Silver Knights3ALSommaire du match
3894Henderson Silver Knights1Cleveland Monsters2BWSommaire du match
4096Cleveland Monsters4Henderson Silver Knights0AWSommaire du match
4399Utica Comets1Cleveland Monsters2BWXSommaire du match
44100Utica Comets2Cleveland Monsters3BWXSommaire du match
45101Cleveland Monsters1Utica Comets0AWSommaire du match
46102Cleveland Monsters1Utica Comets2ALSommaire du match
47103Utica Comets2Cleveland Monsters1BLXSommaire du match
48104Cleveland Monsters1Utica Comets0AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance25,97213,000
Assistance PCT99.89%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2998 - 99.93% 100,211$1,302,744$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,770,000$ 1,392,702$ 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