Connexion

Cleveland Monsters
GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 17 | GA: 21 | PP%: 21.05% | PK%: 93.33%
DG: Tony Pisano | Morale : 50 | Moyenne d’équipe : 69
Prochains matchs #122 vs Milwaukee Admirals
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Centre de jeu
Cleveland Monsters
4-3-0, 8pts
1
FINAL
5 Adirondack Angels
4-3-0, 8pts
Team Stats
W1SéquenceL1
4-0-0Fiche domicile3-1-0
0-3-0Fiche domicile1-2-0
4-3-0Derniers 10 matchs4-3-0
2.43Buts par match 3.00
3.00Buts contre par match 2.43
21.05%Pourcentage en avantage numérique12.50%
93.33%Pourcentage en désavantage numérique81.25%
Long Island Ducks
5-0-3, 13pts
1
FINAL
2 Cleveland Monsters
4-3-0, 8pts
Team Stats
W1SéquenceW1
2-0-1Fiche domicile4-0-0
3-0-2Fiche domicile0-3-0
5-0-3Derniers 10 matchs4-3-0
3.25Buts par match 2.43
2.38Buts contre par match 3.00
5.56%Pourcentage en avantage numérique21.05%
90.00%Pourcentage en désavantage numérique93.33%
Cleveland Monsters
4-3-0, 8pts
2023-12-08
Milwaukee Admirals
4-4-0, 8pts
Statistiques d’équipe
W1SéquenceW1
4-0-0Fiche domicile1-2-0
0-3-0Fiche visiteur3-2-0
4-3-010 derniers matchs4-4-0
2.43Buts par match 2.50
3.00Buts contre par match 2.50
21.05%Pourcentage en avantage numérique14.29%
93.33%Pourcentage en désavantage numérique77.78%
Cleveland Monsters
4-3-0, 8pts
2023-12-09
Ontario Reign
6-1-0, 12pts
Statistiques d’équipe
W1SéquenceW5
4-0-0Fiche domicile4-0-0
0-3-0Fiche visiteur2-1-0
4-3-010 derniers matchs6-1-0
2.43Buts par match 3.86
3.00Buts contre par match 3.86
21.05%Pourcentage en avantage numérique9.09%
93.33%Pourcentage en désavantage numérique88.24%
Greenville Swamp Rabbits
4-2-1, 9pts
2023-12-11
Cleveland Monsters
4-3-0, 8pts
Statistiques d’équipe
L1SéquenceW1
2-1-1Fiche domicile4-0-0
2-1-0Fiche visiteur0-3-0
4-2-110 derniers matchs4-3-0
3.29Buts par match 2.43
3.14Buts contre par match 2.43
17.65%Pourcentage en avantage numérique21.05%
78.95%Pourcentage en désavantage numérique93.33%
Meneurs d'équipe
Zachary SenyshynButs
Zachary Senyshyn
2
Chad RuhwedelPasses
Chad Ruhwedel
4
Zachary SenyshynPoints
Zachary Senyshyn
5
Tyler MaddenPlus/Moins
Tyler Madden
4
Spencer MartinVictoires
Spencer Martin
3
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.92

Statistiques d’équipe
Buts pour
17
2.43 GFG
Tirs pour
218
31.14 Avg
Pourcentage en avantage numérique
21.1%
4 GF
Début de zone offensive
41.1%
Buts contre
21
3.00 GAA
Tirs contre
213
30.43 Avg
Pourcentage en désavantage numérique
93.3%%
1 GA
Début de la zone défensive
40.1%
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 Mineure18
Limite contact 43 / 50
Espoirs28


Historique d'équipe

Saison actuelle4-3-0 (8PTS)
Historique42-40-6 (0.477%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
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
1Taro Hirose (R)XX100.006330998066879176647573747380760507212711,350,000$
2Zachary Senyshyn (R)X100.007538908675868872667167717278750507112611,200,000$
3Ryan FitzgeraldXX100.00713086757281857074686673628274050690292900,000$
4Joel L'EsperanceXX100.00743586728283877271686871707876050690282875,000$
5Riley Barber (R)X100.00713092737580837266696673678279050690291750,000$
6Rhett Gardner (R)XX100.00744884738281876872666373627371050680272850,000$
7Shane Gersich (R)XX100.00693884857178806770676571677368050680271750,000$
8Jordy Bellerive (R)X100.007464787877778168726765686770750506802411,200,000$
9Tyler Madden (R)X100.00653094776781826973656769676667050670242800,000$
10Felix Robert (R)X100.00714581826580806871686569696668050670241975,000$
11Mathias Emilio Pettersen (R)XX100.00683090826581816872666769696866050670232500,000$
12Collin Adams (R)X100.00643095777278766560646167606664050640251475,000$
13Robert BortuzzoX100.00745878738183836430635075589898050711341950,000$
14Matt BartkowskiX100.00784070737786816830665476509995050711351950,000$
15Chad RuhwedelX100.007440847472868667306655765881760507003311,200,000$
16John Ludvig (R)X100.00703068788479796630646174516666050690232750,000$
17Dysin Mayo (R)X100.00734085757583856730665474487370050690271925,000$
18Benjamin Finklestein (R)X100.00653082797078776630666168556765050660261500,000$
Rayé
1Maxim Marushev (R)X100.00743087746978796676666271636663050660241475,000$
2Nikita Pavlychev (R)X100.00804568728074756474626268646462050650261475,000$
3Denis Smirnov (R)XX100.00523097766973706260606066636262050620261700,000$
4Keaton Thompson (R)X100.007048867876838364306256714868650506802811,067,000$
5Michael Karow (R)X100.00665185787578766430625972486263050670252650,000$
MOYENNE D’ÉQUIPE100.0070398577748182685666627161737105068
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
1Spencer Martin (R)100.0089919385908788878785938580050851281990,000$
2Adam Scheel (R)100.00887978868985868686838568680508102411,500,000$
Rayé
MOYENNE D’ÉQUIPE100.008985868690868787878489777405083
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma80838282818650USA532750,000$


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
1Zachary SenyshynCleveland Monsters (STL)RW7235400184214199.52%012217.46101316000000025.00%400000.8211000100
2Taro HiroseCleveland Monsters (STL)LW/RW7235400514342245.88%012818.40022616000050147.62%2100000.7813000001
3Tyler MaddenCleveland Monsters (STL)C7224400821831225.00%112417.72101116000000051.33%15000000.6400000001
4Chad RuhwedelCleveland Monsters (STL)D7044-3201449740%1414721.01000416011013000%000000.5400000000
5Joel L'EsperanceCleveland Monsters (STL)C/RW7123-9001211188175.56%211716.75112318000000071.43%700000.5113000001
6Riley BarberCleveland Monsters (STL)RW7213000117105620.00%48912.78000001014150045.45%1100000.6700000010
7Felix RobertCleveland Monsters (STL)C7022-9551418273110%012417.85011517000000041.21%16500000.3212010000
8Mathias Emilio PettersenCleveland Monsters (STL)C/LW7202-940391661512.50%011716.75101318000000050.00%200000.3400000010
9Dysin MayoCleveland Monsters (STL)D7022-6206103140%914520.79011117000112000%000000.2700000000
10Ryan FitzgeraldCleveland Monsters (STL)C/RW7011-52010615390%29613.80000000001130040.00%1000000.2100000000
11Robert BortuzzoCleveland Monsters (STL)D701104013112310%515422.1200000000014000%000000.1300000000
12Rhett GardnerCleveland Monsters (STL)C/LW7101-52079841212.50%19313.42000000000121066.67%2100000.2100000000
13John LudvigCleveland Monsters (STL)D7011-1401458140%314420.6201141700000000%000000.1400000000
14Shane GersichCleveland Monsters (STL)C/LW7101-12081065616.67%17410.6300000000000041.38%8700000.2700000000
15Jordy BelleriveCleveland Monsters (STL)C7011-42014109660%19313.42000000000120048.80%12500000.2100000000
16Collin AdamsCleveland Monsters (STL)LW7011-100116080%07410.6400000000000050.00%600000.2700000000
17Benjamin FinklesteinCleveland Monsters (STL)D7011-5405611130%612818.3000061600004000%000000.1600000000
18Matt BartkowskiCleveland Monsters (STL)D7101-540221273114.29%514821.2800000000012000%000000.1300000000
Statistiques d’équipe totales ou en moyenne126142539-51375185168218651626.42%54212616.8746103617211261181146.80%60900000.3749010123
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
1Spencer MartinCleveland Monsters (STL)43100.9202.172492091130100.857743020
2Adam ScheelCleveland Monsters (STL)31200.8803.8918500121000101.000334000
Statistiques d’équipe totales ou en moyenne74300.9012.9043420212130201077020


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial 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 10Lien
Adam ScheelCleveland Monsters (STL)G245/1/1999 12:53:25 PMYes190 Lbs6 ft3NoNoNoNo1Pro & Farm1,500,000$0$0$No
Benjamin FinklesteinCleveland Monsters (STL)D2610/1/1997 4:42:20 PMYes180 Lbs5 ft9NoNoNoNo1Pro & Farm500,000$0$0$NoLien NHL
Chad RuhwedelCleveland Monsters (STL)D335/7/1990 7:06:36 AMNo191 Lbs5 ft11NoNoNoNo1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Collin AdamsCleveland Monsters (STL)LW254/24/1998 4:31:34 PMYes195 Lbs5 ft9NoNoNoNo1Pro & Farm475,000$0$0$NoLien NHL
Denis SmirnovCleveland Monsters (STL)LW/RW268/12/1997 4:33:24 PMYes180 Lbs5 ft9NoNoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Dysin MayoCleveland Monsters (STL)D278/17/1996 8:43:10 AMYes195 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Felix RobertCleveland Monsters (STL)C247/24/1999 9:35:20 AMYes180 Lbs5 ft9NoNoNoNo1Pro & Farm975,000$0$0$No
Joel L'EsperanceCleveland Monsters (STL)C/RW288/18/1995 9:23:25 AMNo210 Lbs6 ft2NoNoNoNo2Pro & Farm875,000$0$0$No875,000$Lien / Lien NHL
John LudvigCleveland Monsters (STL)D238/2/2000 4:14:24 PMYes213 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Jordy BelleriveCleveland Monsters (STL)C245/2/1999 5:57:55 AMYes195 Lbs5 ft10NoNoNoNo1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Keaton ThompsonCleveland Monsters (STL)D289/14/1995 7:03:52 AMYes197 Lbs6 ft0NoNoNoNo1Pro & Farm1,067,000$0$0$NoLien / Lien NHL
Mathias Emilio PettersenCleveland Monsters (STL)C/LW234/3/2000 4:35:05 PMYes170 Lbs5 ft10NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien NHL
Matt BartkowskiCleveland Monsters (STL)D356/4/1988 9:11:10 AMNo198 Lbs6 ft1NoNoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Maxim MarushevCleveland Monsters (STL)C241/1/1999 4:37:24 PMYes176 Lbs6 ft1NoNoNoNo1Pro & Farm475,000$0$0$NoLien NHL
Michael KarowCleveland Monsters (STL)D2512/18/1998 4:13:07 PMYes200 Lbs6 ft2NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien / Lien NHL
Nikita PavlychevCleveland Monsters (STL)C263/23/1997 4:39:25 PMYes200 Lbs6 ft7NoNoNoNo1Pro & Farm475,000$0$0$NoLien NHL
Rhett GardnerCleveland Monsters (STL)C/LW272/28/1996 2:06:02 PMYes225 Lbs6 ft3NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Riley BarberCleveland Monsters (STL)RW292/7/1994 11:25:38 AMYes190 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Robert BortuzzoCleveland Monsters (STL)D343/18/1989 4:55:40 AMNo216 Lbs6 ft4NoNoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Ryan FitzgeraldCleveland Monsters (STL)C/RW2910/19/1994 9:55:15 AMNo172 Lbs5 ft9NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Shane GersichCleveland Monsters (STL)C/LW277/10/1996 4:24:55 PMYes180 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Spencer MartinCleveland Monsters (STL)G286/8/1995 10:14:54 AMYes200 Lbs6 ft3NoNoNoNo1Pro & Farm990,000$0$0$NoLien / Lien NHL
Taro HiroseCleveland Monsters (STL)LW/RW276/30/1996 6:06:53 AMYes162 Lbs5 ft10NoNoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Tyler MaddenCleveland Monsters (STL)C2411/9/1999 4:09:27 PMYes170 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Zachary SenyshynCleveland Monsters (STL)RW263/30/1997 6:35:10 AMYes192 Lbs6 ft1NoNoNoNo1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.88191 Lbs6 ft01.28870,280$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taro HiroseTyler MaddenZachary Senyshyn28023
2Mathias Emilio PettersenFelix RobertJoel L'Esperance28023
3Rhett GardnerJordy BelleriveRyan Fitzgerald23032
4Collin AdamsShane GersichRiley Barber21032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert BortuzzoJohn Ludvig36032
2Matt BartkowskiDysin Mayo34032
3Chad RuhwedelBenjamin Finklestein30032
4Robert BortuzzoMatt Bartkowski0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taro HiroseTyler MaddenZachary Senyshyn50014
2Mathias Emilio PettersenFelix RobertJoel L'Esperance50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelBenjamin Finklestein50023
2John LudvigDysin Mayo50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordy BelleriveRyan Fitzgerald50032
2Rhett GardnerRiley Barber50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BartkowskiDysin Mayo50032
2Robert BortuzzoChad Ruhwedel50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rhett Gardner50032Matt BartkowskiJohn Ludvig50032
2Ryan Fitzgerald50032Chad RuhwedelRobert Bortuzzo50032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler MaddenTaro Hirose50023
2Felix RobertZachary Senyshyn50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BartkowskiRobert Bortuzzo50023
2Chad RuhwedelJohn Ludvig50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taro HiroseTyler MaddenZachary SenyshynMatt BartkowskiChad Ruhwedel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan FitzgeraldRhett GardnerRiley BarberRobert BortuzzoChad Ruhwedel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Fitzgerald, Rhett Gardner, Taro HiroseRyan Fitzgerald, Riley BarberTaro Hirose
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, John Ludvig, Chad RuhwedelJohn LudvigBenjamin Finklestein, Dysin Mayo
Tirs de pénalité
Taro Hirose, Joel L'Esperance, Felix Robert, Zachary Senyshyn, Mathias Emilio Pettersen
Gardien
#1 : Spencer Martin, #2 : Adam Scheel


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
1Adirondack Angels1010000015-4000000000001010000015-400.000123006624267668632033126262150.00%2150.00%011225044.80%12024449.18%5311546.09%174120163539647
2Iowa Wild10000010321100000103210000000000021.00034700662429766863203062253133.33%10100.00%011225044.80%12024449.18%5311546.09%174120163539647
3Long Island Ducks10000010211100000102110000000000021.00022400662433766863202711624200.00%30100.00%011225044.80%12024449.18%5311546.09%174120163539647
4Louisville Thunder11000000532110000005320000000000021.000591400662434766863202554244125.00%20100.00%011225044.80%12024449.18%5311546.09%174120163539647
5Oakland Seals1010000024-2000000000001010000024-200.0002350066243376686320296735200.00%10100.00%111225044.80%12024449.18%5311546.09%174120163539647
6Pensacola Ice Flyers1010000025-3000000000001010000025-300.00023500662424766863203736253133.33%20100.00%011225044.80%12024449.18%5311546.09%174120163539647
7Philadelphia Phantoms10000010211100000102110000000000021.00022400662439766863203211826300.00%40100.00%011225044.80%12024449.18%5311546.09%174120163539647
Total713000301721-441000030127530300000514-980.57117254200662421876686320213543918519421.05%15193.33%111225044.80%12024449.18%5311546.09%174120163539647
_Since Last GM Reset713000301721-441000030127530300000514-980.57117254200662421876686320213543918519421.05%15193.33%111225044.80%12024449.18%5311546.09%174120163539647
_Vs Conference512000201315-23100002010642020000039-660.60013203300662415576686320144402513413323.08%9188.89%111225044.80%12024449.18%5311546.09%174120163539647
_Vs Division20000020532200000205320000000000041.0005611006624627668632057178495120.00%40100.00%011225044.80%12024449.18%5311546.09%174120163539647

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
78W1172542218213543918500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
71300301721
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4100030127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000514
Derniers 10 matchs
WLOTWOTL SOWSOL
430000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
19421.05%15193.33%1
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
766863206624
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
11225044.80%12024449.18%5311546.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
174120163539647


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
1 - 2023-11-254Cleveland Monsters2Oakland Seals4ALSommaire du match
3 - 2023-11-2723Iowa Wild2Cleveland Monsters3BWXXSommaire du match
5 - 2023-11-2941Cleveland Monsters2Pensacola Ice Flyers5ALSommaire du match
6 - 2023-11-3053Philadelphia Phantoms1Cleveland Monsters2BWXXSommaire du match
9 - 2023-12-0376Louisville Thunder3Cleveland Monsters5BWSommaire du match
10 - 2023-12-0486Cleveland Monsters1Adirondack Angels5ALSommaire du match
12 - 2023-12-06104Long Island Ducks1Cleveland Monsters2BWXXSommaire du match
14 - 2023-12-08122Cleveland Monsters-Milwaukee Admirals-
15 - 2023-12-09135Cleveland Monsters-Ontario Reign-
17 - 2023-12-11152Greenville Swamp Rabbits-Cleveland Monsters-
19 - 2023-12-13167Cleveland Monsters-Texas Stars-
21 - 2023-12-15185Stockton Heat-Cleveland Monsters-
23 - 2023-12-17203Henderson Black Knights-Cleveland Monsters-
25 - 2023-12-19224Henderson Black Knights-Cleveland Monsters-
26 - 2023-12-20235Cleveland Monsters-Greenville Swamp Rabbits-
28 - 2023-12-22244Cleveland Monsters-Burlington Cougars-
32 - 2023-12-26266Long Island Ducks-Cleveland Monsters-
34 - 2023-12-28285Cleveland Monsters-Richmond Renegades-
35 - 2023-12-29296Cleveland Monsters-Stockton Heat-
37 - 2023-12-31312Stockton Heat-Cleveland Monsters-
39 - 2024-01-02328Cleveland Monsters-Newfoundland Growlers-
41 - 2024-01-04343Rockford IceHogs-Cleveland Monsters-
42 - 2024-01-05358Cleveland Monsters-Syracuse Crunch-
44 - 2024-01-07372Binghamton Senators-Cleveland Monsters-
46 - 2024-01-09393Adirondack Angels-Cleveland Monsters-
48 - 2024-01-11409Cleveland Monsters-Pensacola Ice Flyers-
50 - 2024-01-13423Cleveland Monsters-Durham Pioneers-
51 - 2024-01-14437Burlington Cougars-Cleveland Monsters-
54 - 2024-01-17456Greenville Swamp Rabbits-Cleveland Monsters-
56 - 2024-01-19474Cleveland Monsters-Ontario Reign-
57 - 2024-01-20489Cleveland Monsters-Henderson Black Knights-
59 - 2024-01-22502Baltimore Patriots-Cleveland Monsters-
62 - 2024-01-25527Louisville Thunder-Cleveland Monsters-
63 - 2024-01-26546Cleveland Monsters-Oakland Seals-
65 - 2024-01-28559Atlantic City Blackjacks-Cleveland Monsters-
67 - 2024-01-30579Wilkes Barre-Scranton-Cleveland Monsters-
69 - 2024-02-01596Cleveland Monsters-Halifax Mooseheads-
70 - 2024-02-02607Cleveland Monsters-Laval Rocket-
72 - 2024-02-04625Laval Rocket-Cleveland Monsters-
74 - 2024-02-06645Milwaukee Admirals-Cleveland Monsters-
76 - 2024-02-08660Cleveland Monsters-Adirondack Angels-
77 - 2024-02-09669Cleveland Monsters-Texas Stars-
79 - 2024-02-11689Rockford IceHogs-Cleveland Monsters-
81 - 2024-02-13706Cleveland Monsters-Seatac Aviators-
83 - 2024-02-15721Pensacola Ice Flyers-Cleveland Monsters-
87 - 2024-02-19740Cleveland Monsters-Baltimore Patriots-
88 - 2024-02-20750Richmond Renegades-Cleveland Monsters-
91 - 2024-02-23772Cleveland Monsters-Wilkes Barre-Scranton-
92 - 2024-02-24782Oakland Seals-Cleveland Monsters-
94 - 2024-02-26801Cleveland Monsters-Binghamton Senators-
96 - 2024-02-28815Iowa Wild-Cleveland Monsters-
98 - 2024-03-01831Cleveland Monsters-North Bay Icemen-
99 - 2024-03-02847Texas Stars-Cleveland Monsters-
102 - 2024-03-05869Cleveland Monsters-Rockford IceHogs-
104 - 2024-03-07882Carolina Panthers-Cleveland Monsters-
105 - 2024-03-08898Durham Pioneers-Cleveland Monsters-
107 - 2024-03-10913Cleveland Monsters-Milwaukee Admirals-
109 - 2024-03-12934Cleveland Monsters-Louisville Thunder-
110 - 2024-03-13943Cleveland Monsters-Philadelphia Phantoms-
112 - 2024-03-15954Hershey Bears-Cleveland Monsters-
114 - 2024-03-17977Syracuse Crunch-Cleveland Monsters-
117 - 2024-03-20995Durham Pioneers-Cleveland Monsters-
118 - 2024-03-211008Cleveland Monsters-Oakland Seals-
119 - 2024-03-221025Philadelphia Phantoms-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122 - 2024-03-251042Cleveland Monsters-Halifax Mooseheads-
124 - 2024-03-271060Newfoundland Growlers-Cleveland Monsters-
126 - 2024-03-291077Cleveland Monsters-Bridgeport Sound Tigers-
127 - 2024-03-301091Bridgeport Sound Tigers-Cleveland Monsters-
128 - 2024-03-311098Cleveland Monsters-Toronto Marlies-
131 - 2024-04-031125Halifax Mooseheads-Cleveland Monsters-
133 - 2024-04-051140Cleveland Monsters-Atlantic City Blackjacks-
134 - 2024-04-061148Cleveland Monsters-Hershey Bears-
135 - 2024-04-071164Seatac Aviators-Cleveland Monsters-
138 - 2024-04-101187Ontario Reign-Cleveland Monsters-
139 - 2024-04-111199Cleveland Monsters-Carolina Panthers-
141 - 2024-04-131220Toronto Marlies-Cleveland Monsters-
142 - 2024-04-141228Cleveland Monsters-Burlington Cougars-
143 - 2024-04-151240Cleveland Monsters-Long Island Ducks-
145 - 2024-04-171257Cleveland Monsters-Atlantic City Blackjacks-
147 - 2024-04-191271North Bay Icemen-Cleveland Monsters-
149 - 2024-04-211290Cleveland Monsters-Iowa Wild-
150 - 2024-04-221300Seatac Aviators-Cleveland Monsters-



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
248,586$ 2,175,700$ 2,175,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,220$ 184,860$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 140 19,122$ 2,677,080$




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
1Zachary Senyshyn891843618181571432287.89%12153317.2338114100001248.18%00.8037
2Joshua Ho-Sang82203151-5161071592508.00%12146817.912793200005242.42%00.69211
3Drew O'Connor8229225103013310120913.88%9138616.9137103100005139.82%20.7400
4German Rubtsov81222547565219820110.95%16133916.54000021345248.41%00.7001
5Pierre-Olivier Joseph8292938-42212794939.68%96171720.95459410000200%00.4400

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 Martin75333460.9162.5244096618521930330.79539
2Adam Scheel189610.9022.7799800464690110.85714

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
2023713000301721-441000030127530300000514-9817254200662421876686320213543918519421.05%15193.33%111225044.80%12024449.18%5311546.09%174120163539647
Total Saison régulière89324001295239240-1451817011621291121744142300133110128-18912394046434693795715262888689480988266674143720802193214.61%1973084.77%51477306148.25%1514309948.85%669142147.08%2152149520956481168580
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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