Connexion

Cleveland Monsters
GP: 6 | W: 2 | L: 4
GF: 14 | GA: 16 | PP%: 11.76% | PK%: 63.64%
DG: Tony Pisano | Morale : 50 | Moyenne d’équipe : 70

Centre de jeu
Cleveland Monsters
2-4-0, 4pts
1
FINAL
3 Calgary Wranglers
5-2-0, 10pts
Team Stats
OTL1SéquenceW5
0-3-0Fiche domicile2-2-0
2-1-0Fiche domicile3-0-0
2-1-3Derniers 10 matchs5-2-0
2.33Buts par match 2.86
2.67Buts contre par match 2.14
11.76%Pourcentage en avantage numérique35.29%
63.64%Pourcentage en désavantage numérique88.24%
Calgary Wranglers
5-2-0, 10pts
5
FINAL
4 Cleveland Monsters
2-4-0, 4pts
Team Stats
W5SéquenceOTL1
2-2-0Fiche domicile0-3-0
3-0-0Fiche domicile2-1-0
5-2-0Derniers 10 matchs2-1-3
2.86Buts par match 2.33
2.14Buts contre par match 2.67
35.29%Pourcentage en avantage numérique11.76%
88.24%Pourcentage en désavantage numérique63.64%
Meneurs d'équipe
Kevin LabancButs
Kevin Labanc
3
Jan JenikPasses
Jan Jenik
3
Kevin LabancPoints
Kevin Labanc
5
Jan JenikPlus/Moins
Jan Jenik
3
Michael HouserVictoires
Michael Houser
2
Michael HouserPourcentage d’arrêts
Michael Houser
0.918

Statistiques d’équipe
Buts pour
14
2.33 GFG
Tirs pour
154
25.67 Avg
Pourcentage en avantage numérique
11.8%
2 GF
Début de zone offensive
35.1%
Buts contre
16
2.67 GAA
Tirs contre
206
34.33 Avg
Pourcentage en désavantage numérique
63.6%%
4 GA
Début de la zone défensive
46.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs26


Historique d'équipe

Saison actuelle2-4
Historique162-142-25 (0.492%)
Apparitions en séries éliminatoires 1
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Kevin LabancX100.006830907973899976697675777799930507413012,125,000$
2Jan Jenik (R)XXX100.00784572807882827274706772677373050700251800,000$
3Jayson MegnaX100.00754187727484857170706774648986050700351800,000$
4Felix Robert (R)X100.007345858265838571736967696973750506902621,000,000$
5Jordy Bellerive (R)X100.007364847877818669746765706777820506902621,400,000$
6Anders BjorkXXX100.00683092807573747070676471668683050680292850,000$
7Ty Glover (R)XX100.00823082778076796674646471607174050670251750,000$
8Collin Adams (R)X100.00653095777378806760656368607270050660271600,000$
9Tristan AllardXX100.00674081758074766670646371616868050660232850,000$
10Nikita Pavlychev (R)X100.00804568728074756474626268646462050650282600,000$
11Matthew Kessel (R)X100.00713587767982826930685877467878050711251650,000$
12Jack St. Ivany (R)X100.00754084818182806630665877497480050711261650,000$
13Chad RuhwedelX100.00745083737286876830675777588883050711351850,000$
14Dysin Mayo (R)X100.007340887575858967306656744880770507002911,000,000$
15Gustav OlofssonX100.00773089757676786430645475488885050690311750,000$
16Michael Karow (R)X100.00715186787679786530635973486768050680273750,000$
17Guillaume BriseboisX100.00683091777178756530635669476663050660281750,000$
18Josh Maniscalco (R)X100.00664493787874776230586269516768050660261750,000$
Rayé
1Tye FelhaberXX100.00726573767076776568626268626666050650271750,000$
2Joey AbateXX100.00815471737575786454636069596969050650271750,000$
3Francesco ArcuriXX100.00703588767772706470636270586459050650222875,000$
4Denis Smirnov (R)XX100.00523097766973706260606066636262050620282800,000$
MOYENNE D’ÉQUIPE100.0072418577757980675565627259757405068
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
1Michael Houser100.00898787829088898989868995890508613311,925,000$
2Spencer Martin100.00898889859087908888859491860508613021,000,000$
Rayé
1Adam Scheel (R)100.00898181868985878787838774730508302621,650,000$
MOYENNE D’ÉQUIPE100.008985868490878988888590878305085
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma80838282818650USA553900,000$


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
1Kevin LabancCleveland Monsters (STL)RW63252200142951910.34%213222.13000515000020043.44%12200000.7500000000
2Jan JenikCleveland Monsters (STL)C/LW/RW61343751617168106.25%515926.60011215000070036.84%1900100.5000001010
3Michael KarowCleveland Monsters (STL)D613436011533433.33%211619.410000100006000%100000.6900000000
4Felix RobertCleveland Monsters (STL)C6134-140125154126.67%216327.19000012000010030.00%3000000.4900000000
5Jayson MegnaCleveland Monsters (STL)C6303-100912164918.75%116828.06000212000061050.88%5700000.3600000002
6Collin AdamsCleveland Monsters (STL)LW612300021113597.69%214824.81101212000080134.48%2900000.4000000100
7Anders BjorkCleveland Monsters (STL)C/LW/RW6213-1006121231316.67%014924.860000200001009.09%1100000.4000000001
8Ty GloverCleveland Monsters (STL)C/LW6033-12011138140%19015.1300000000000041.35%10400000.6600000000
9Gustav OlofssonCleveland Monsters (STL)D612334012783712.50%912921.6010151500008000%000000.4600000010
10Matthew KesselCleveland Monsters (STL)D6022-2556105050%1214724.5001111400007000%000000.2700001000
11Chad RuhwedelCleveland Monsters (STL)D6022-10010102310%914724.5901121300007000%000000.2700000000
12Jordy BelleriveCleveland Monsters (STL)C6112-2551623163106.25%215626.05000013000071045.06%16200000.2600010000
13Jack St. IvanyCleveland Monsters (STL)D6011-2001673300%613222.140000000011000%000000.1500000000
14Dysin MayoCleveland Monsters (STL)D6011-14010114110%414123.5101101300004000%000000.1400000000
15Guillaume BriseboisCleveland Monsters (STL)D6000100011000%071.280000000000000%00000000000000
16Nikita PavlychevCleveland Monsters (STL)C6000000100000%061.0700000000000025.00%40000000000000
17Tristan AllardCleveland Monsters (STL)C/LW6000000103110%081.5000000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne10214264003915139158154471059.09%57200619.67246191420001692141.96%54100100.4000012123
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
1Michael HouserCleveland Monsters (STL)62120.9182.5135800151840000060200
2Spencer MartinCleveland Monsters (STL)10010.9551.3046001220000006000
Statistiques d’équipe totales ou en moyenne72130.9222.374050016206000066200


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel 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)G261999-05-01USAYes190 Lbs6 ft3NoNoN/ANoNo22024-07-15FalseFalsePro & Farm1,650,000$0$0$No1,650,000$--------1,650,000$--------No--------Lien / Lien NHL
Anders BjorkCleveland Monsters (STL)C/LW/RW291996-08-05USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-12FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Chad RuhwedelCleveland Monsters (STL)D351990-05-07USANo191 Lbs5 ft11NoNoAssign ManuallyNoNo12024-11-18FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Collin AdamsCleveland Monsters (STL)LW271998-04-24USAYes195 Lbs5 ft9NoNoN/ANoNo12024-07-15FalseFalsePro & Farm600,000$0$0$No---------------------------Lien / Lien NHL
Denis SmirnovCleveland Monsters (STL)LW/RW281997-08-12RUSYes180 Lbs5 ft9NoNoN/ANoNo22024-07-15FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Dysin MayoCleveland Monsters (STL)D291996-08-17CANYes195 Lbs6 ft2NoNoN/ANoNo12024-07-16FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Felix RobertCleveland Monsters (STL)C261999-07-24CANYes180 Lbs5 ft9NoNoN/ANoNo22024-07-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Francesco ArcuriCleveland Monsters (STL)C/LW222003-06-13CANNo205 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-12FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Guillaume BriseboisCleveland Monsters (STL)D281997-07-21CANNo175 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-20FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Gustav OlofssonCleveland Monsters (STL)D311994-12-01SWENo199 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Jack St. IvanyCleveland Monsters (STL)D261999-07-22USAYes197 Lbs6 ft4NoNoProspectNoNo12025-10-30FalseFalsePro & Farm650,000$0$0$No---------------------------Lien / Lien NHL
Jan JenikCleveland Monsters (STL)C/LW/RW252000-09-15CZEYes199 Lbs6 ft2NoNoProspectNoNo12025-11-09FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Jayson MegnaCleveland Monsters (STL)C351990-02-01USANo195 Lbs6 ft1NoNoAssign ManuallyNoNo12024-11-15FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Joey AbateCleveland Monsters (STL)LW/RW271998-09-26USANo187 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-20FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Jordy BelleriveCleveland Monsters (STL)C261999-05-02CANYes195 Lbs5 ft10NoNoN/ANoNo22024-07-15FalseFalsePro & Farm1,400,000$0$0$No1,400,000$--------1,400,000$--------No--------Lien / Lien NHL
Josh ManiscalcoCleveland Monsters (STL)D261999-02-17USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-19FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Kevin LabancCleveland Monsters (STL)RW301995-12-12USANo185 Lbs5 ft11NoNoN/ANoNo12025-08-22FalseFalsePro & Farm2,125,000$0$0$No---------------------------Lien / Lien NHL
Matthew KesselCleveland Monsters (STL)D252000-06-23USAYes212 Lbs6 ft3NoNoProspectNoNo12025-11-05FalseFalsePro & Farm650,000$0$0$No---------------------------Lien / Lien NHL
Michael HouserCleveland Monsters (STL)G331992-09-13USANo185 Lbs6 ft1NoNoN/ANoNo12025-08-20FalseFalsePro & Farm1,925,000$0$0$No---------------------------Lien / Lien NHL
Michael KarowCleveland Monsters (STL)D271998-12-18USAYes200 Lbs6 ft2NoNoN/ANoNo32025-08-20FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Nikita PavlychevCleveland Monsters (STL)C281997-03-23RUSYes200 Lbs6 ft7NoNoN/ANoNo22024-07-16FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien / Lien NHL
Spencer MartinCleveland Monsters (STL)G301995-06-08CANNo200 Lbs6 ft3NoNoN/ANoNo22024-07-16FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Tristan AllardCleveland Monsters (STL)C/LW232002-06-23CANNo217 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-12FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Ty GloverCleveland Monsters (STL)C/LW252000-10-01CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo12024-11-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Tye FelhaberCleveland Monsters (STL)C/LW271998-08-05CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo12024-11-20FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.76194 Lbs6 ft11.44947,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jayson MegnaKevin LabancJan Jenik28023
2Anders BjorkJordy BelleriveFelix Robert28023
3Collin AdamsTy GloverKevin Labanc23032
4Jan JenikFelix RobertCollin Adams21032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew KesselJack St. Ivany36032
2Chad RuhwedelDysin Mayo34032
3Gustav OlofssonMichael Karow30032
4Chad RuhwedelJack St. Ivany0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin LabancJordy BelleriveJan Jenik50014
2Felix RobertCollin AdamsJayson Megna50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonMatthew Kessel50023
2Chad RuhwedelDysin Mayo50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin LabancCollin Adams50032
2Jordy BelleriveJan Jenik50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KarowGustav Olofsson50032
2Chad RuhwedelMatthew Kessel50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Collin Adams50032Gustav OlofssonMichael Karow50032
2Jan Jenik50032Chad RuhwedelDysin Mayo50032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Felix RobertJan Jenik50023
2Kevin LabancCollin Adams50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonJack St. Ivany50023
2Chad RuhwedelDysin Mayo50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayson MegnaKevin LabancJan JenikChad RuhwedelMatthew Kessel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayson MegnaKevin LabancJan JenikMatthew KesselJack St. Ivany
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Collin Adams, Kevin Labanc, Jan JenikCollin Adams, Jan JenikJan Jenik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Gustav Olofsson, Matthew KesselDysin MayoDysin Mayo, Gustav Olofsson
Tirs de pénalité
Collin Adams, Jan Jenik, Kevin Labanc, Felix Robert, Jordy Bellerive
Gardien
#1 : Michael Houser, #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
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
1Calgary Wranglers624000001416-230300000710-33210000076140.33314264000464015458364218206573913917211.76%11463.64%07419038.95%10324941.37%5010249.02%152103161519045
Total624000001416-230300000710-33210000076140.33314264000464015458364218206573913917211.76%11463.64%07419038.95%10324941.37%5010249.02%152103161519045
_Since Last GM Reset624000001416-230300000710-33210000076140.33314264000464015458364218206573913917211.76%11463.64%07419038.95%10324941.37%5010249.02%152103161519045
_Vs Conference624000001416-230300000710-33210000076140.33314264000464015458364218206573913917211.76%11463.64%07419038.95%10324941.37%5010249.02%152103161519045

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1142640154206573913900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001416
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000710
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000076
Derniers 10 matchs
WLOTWOTL SOWSOL
210300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17211.76%11463.64%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
583642184640
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
7419038.95%10324941.37%5010249.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
152103161519045


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
2 - 2026-05-107Cleveland Monsters2Calgary Wranglers1WSommaire du match
4 - 2026-05-1215Cleveland Monsters4Calgary Wranglers2WSommaire du match
6 - 2026-05-1423Calgary Wranglers3Cleveland Monsters2LXSommaire du match
8 - 2026-05-1631Calgary Wranglers2Cleveland Monsters1LXSommaire du match
10 - 2026-05-1839Cleveland Monsters1Calgary Wranglers3LSommaire du match
12 - 2026-05-2047Calgary Wranglers5Cleveland Monsters4LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,367,500$ 2,367,500$ 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$ 11 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