Connexion

Cleveland Monsters
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 12 | GA: 4 | PP%: 18.18% | PK%: 80.00%
DG: Steven Bédard | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #48 vs Toronto Marlies
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Centre de jeu
Cleveland Monsters
2-0-0, 4pts
3
FINAL
2 Stockton Heat
0-1-1, 1pts
Team Stats
W1SéquenceL1
1-0-0Fiche domicile0-0-1
1-0-0Fiche domicile0-1-0
2-0-0Derniers 10 matchs0-1-1
6.00Buts par match 1.50
2.00Buts contre par match 3.00
18.18%Pourcentage en avantage numérique25.00%
80.00%Pourcentage en désavantage numérique75.00%
San Jose Barracuda
1-1-0, 2pts
2
FINAL
9 Cleveland Monsters
2-0-0, 4pts
Team Stats
L1SéquenceW1
1-0-0Fiche domicile1-0-0
0-1-0Fiche domicile1-0-0
1-1-0Derniers 10 matchs2-0-0
4.00Buts par match 6.00
5.00Buts contre par match 2.00
25.00%Pourcentage en avantage numérique18.18%
72.73%Pourcentage en désavantage numérique80.00%
Toronto Marlies
1-1-0, 2pts
Jour 9
Cleveland Monsters
2-0-0, 4pts
Statistiques d’équipe
W1SéquenceW1
1-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-0-0
1-1-010 derniers matchs2-0-0
1.50Buts par match 6.00
4.50Buts contre par match 6.00
18.18%Pourcentage en avantage numérique18.18%
33.33%Pourcentage en désavantage numérique80.00%
San Diego Gulls
2-0-0, 4pts
Jour 12
Cleveland Monsters
2-0-0, 4pts
Statistiques d’équipe
OTW1SéquenceW1
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs2-0-0
4.50Buts par match 6.00
3.00Buts contre par match 6.00
33.33%Pourcentage en avantage numérique18.18%
66.67%Pourcentage en désavantage numérique80.00%
Cleveland Monsters
2-0-0, 4pts
Jour 14
San Diego Gulls
2-0-0, 4pts
Statistiques d’équipe
W1SéquenceOTW1
1-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs2-0-0
6.00Buts par match 4.50
2.00Buts contre par match 4.50
18.18%Pourcentage en avantage numérique33.33%
80.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Nils HoglanderButs
Nils Hoglander
3
Parker KellyPasses
Parker Kelly
3
Nils HoglanderPoints
Nils Hoglander
4
Pavel DorofeyevPlus/Moins
Pavel Dorofeyev
4
Jacob InghamVictoires
Jacob Ingham
2
Jacob InghamPourcentage d’arrêts
Jacob Ingham
0.933

Statistiques d’équipe
Buts pour
12
6.00 GFG
Tirs pour
61
30.50 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
35.5%
Buts contre
4
2.00 GAA
Tirs contre
60
30.00 Avg
Pourcentage en désavantage numérique
80.0%%
2 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralSteven Bédard
EntraîneurRon Francis
DivisionPacific Division
ConférenceWestern Conference
CapitainePavel Dorofeyev
Assistant #1Nils Hoglander
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,853
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 50
Espoirs19


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
1Parker KellyXXX100.00838286747875916658756881636060040680244825,000$
2Pavel Dorofeyev (C)XX100.006670897577798173567376697357580406802341,835,000$
3Nils Hoglander (A)XX100.007173867475778771587573687062610406702321,100,000$
4Bobby McMannX100.007879847082748170697270686957580406602741,350,000$
5Jack DruryX100.006770887275768770737668676458590406602341,725,000$
6Joshua Roy (R)XX100.00687193737772797150726773635659040660204835,000$
7Devin ShoreXX100.00757792688269816767746471616865040650292775,000$
8Kieffer BellowsX100.00838385688374856854666764614651040640252775,000$
9Egor Afanasyev (R)XXX100.00788085698578856650656466605657040630221775,000$
10Lukas Rousek (R)XX100.00666990677473857063686163605557040620242775,000$
11Linus KarlssonXX100.00707382647865916950636161605559040611242775,000$
12Chase Stillman (R)X100.00747671617961935950565960606062040580202863,334$
13Christian WolaninX100.00707287707682846550656163605855040630282775,000$
14Dillon HeatheringtonX100.00798082658375925950566066605654040630282775,000$
15Dylan CoghlanX100.00727488697777846450636363605856040630252775,000$
16Austin StrandX100.00767879658177875850566060605654040610262775,000$
17Axel AnderssonX100.00623593637173786230595661526364040590232775,000$
18David Farrance (R)X100.00727389657476806150555756685856040580241925,000$
Rayé
1Colton Dach (R)XX100.00687379628266906150595862606062040590212850,000$
2Josh Lopina (R)X100.00707386618077955450545660705154040580221925,000$
3Zach SolowX100.00727368597469875650555560656264040560252775,000$
4Artyom Grushnikov (R)X100.00656987647778835150525659535251040580202880,000$
MOYENNE D’ÉQUIPE100.0072738567787486645464636562575804062
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
1Jacob Ingham100.0078738584828183828178776165040770232775,000$
2Cal Petersen100.0061767580677269707066666061040670292775,000$
Rayé
MOYENNE D’ÉQUIPE100.007075808275777676767272616304072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Francis75757575757575CAN6481,000,000$


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
1Nils HoglanderCleveland Monsters (CBS)LW/RW231422022102530.00%03819.4301107000060025.00%420012.0600000100
2Parker KellyCleveland Monsters (CBS)C/LW/RW21343404454620.00%14221.0701108000160050.00%1242001.9011000000
3Joshua RoyCleveland Monsters (CBS)LW/RW21342000061416.67%03015.171011700000000%130002.6400000010
4Austin StrandCleveland Monsters (CBS)D212320024101100.00%04522.521011701106000%001001.3300000000
5Jack DruryCleveland Monsters (CBS)C21234203161416.67%04120.8501128101150038.24%3450001.4411000000
6Devin ShoreCleveland Monsters (CBS)C/LW2033200224000%12914.6501117000000053.85%2611002.0500000001
7Pavel DorofeyevCleveland Monsters (CBS)LW/RW22134003393422.22%34321.7200028011170060.00%590001.3801000100
8Bobby McMannCleveland Monsters (CBS)LW21122004263516.67%22512.6800000000000066.67%351001.5800000000
9Dillon HeatheringtonCleveland Monsters (CBS)D2022420643000%15025.490000700006000%004000.7800000000
10Lukas RousekCleveland Monsters (CBS)LW/RW21122002043525.00%12311.880000000000100%000001.6800000000
11Egor AfanasyevCleveland Monsters (CBS)C/LW/RW2011200230110%02613.1400000000020057.89%1931000.7600000000
12Christian WolaninCleveland Monsters (CBS)D2011200401120%04623.030001700007000%010000.4300000000
13Axel AnderssonCleveland Monsters (CBS)D2000100110110%02311.750000000000000%00000000000000
14Dylan CoghlanCleveland Monsters (CBS)D2000420311110%55226.400000700006000%02200000000000
15David FarranceCleveland Monsters (CBS)D2000100200010%02814.460000000003000%00000000000000
16Linus KarlssonCleveland Monsters (CBS)C/LW2000-120232220%1168.2600000000000055.56%92000000000000
17Kieffer BellowsCleveland Monsters (CBS)LW2000-100002130%1168.230000000000000%01000000000000
18Chase StillmanCleveland Monsters (CBS)RW2000-120221100%2168.230000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne3611213234160443261254518.03%1859716.612468761233591048.67%1133812011.0723000211
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
1Jacob InghamCleveland Monsters (CBS)22000.9331.921254046025001.000220001
Statistiques d’équipe totales ou en moyenne22000.9331.92125404602500220001


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
Artyom GrushnikovCleveland Monsters (CBS)D202003-04-20RUSYes220 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-05FalseFalsePro & Farm880,000$0$0$No880,000$--------880,000$--------No--------
Austin StrandCleveland Monsters (CBS)D261997-02-17CANNo216 Lbs6 ft3NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Axel AnderssonCleveland Monsters (CBS)D232000-02-10SWENo178 Lbs6 ft0NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien
Bobby McMannCleveland Monsters (CBS)LW271996-06-15CANNo203 Lbs6 ft1NoNoTrade2024-08-26NoNo42024-08-06FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$---------------NoNoNo------Lien / Lien NHL
Cal PetersenCleveland Monsters (CBS)G291994-10-19USANo185 Lbs6 ft1NoNoAssign Manually2024-01-21NoNo22024-08-27FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Chase StillmanCleveland Monsters (CBS)RW202003-03-19USAYes185 Lbs6 ft1NoNoTrade2024-08-26NoNo22024-08-05FalseFalsePro & Farm863,334$0$0$No863,334$--------863,334$--------No--------Lien NHL
Christian WolaninCleveland Monsters (CBS)D281995-03-17CANNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Colton DachCleveland Monsters (CBS)C/LW212003-01-04CANYes200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien NHL
David FarranceCleveland Monsters (CBS)D241999-06-23USAYes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien NHL
Devin ShoreCleveland Monsters (CBS)C/LW291994-07-19CANNo206 Lbs6 ft1NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Dillon HeatheringtonCleveland Monsters (CBS)D281995-05-09CANNo220 Lbs6 ft4NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Dylan CoghlanCleveland Monsters (CBS)D251998-02-19CANNo206 Lbs6 ft2NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Egor AfanasyevCleveland Monsters (CBS)C/LW/RW222001-01-23RUSYes210 Lbs6 ft4NoNoTrade2024-01-06NoNo12024-08-07FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Jack DruryCleveland Monsters (CBS)C232000-02-03USANo170 Lbs5 ft11NoNoTrade2024-09-03NoNo42024-08-07FalseFalsePro & Farm1,725,000$0$0$No1,725,000$1,725,000$1,725,000$---------------NoNoNo------Lien NHL
Jacob InghamCleveland Monsters (CBS)G232000-06-10CANNo186 Lbs6 ft4NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Josh LopinaCleveland Monsters (CBS)C222001-02-16USAYes194 Lbs6 ft2NoNoProspectNoNo12024-08-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien NHL
Joshua RoyCleveland Monsters (CBS)LW/RW202003-08-06CANYes190 Lbs6 ft0NoNoProspectNoNo42024-01-08FalseFalsePro & Farm835,000$0$0$No835,000$835,000$835,000$---------------NoNoNo------Lien NHL
Kieffer BellowsCleveland Monsters (CBS)LW251998-06-10USANo195 Lbs6 ft0NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Linus KarlssonCleveland Monsters (CBS)C/LW241999-11-16SWENo180 Lbs6 ft1NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien NHL
Lukas RousekCleveland Monsters (CBS)LW/RW241999-04-20CZEYes175 Lbs5 ft11NoNoTrade2024-08-29NoNo2FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien NHL
Nils HoglanderCleveland Monsters (CBS)LW/RW232000-12-20SWENo185 Lbs5 ft9NoNoTrade2024-08-27NoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$-----------------No--------Lien / Lien NHL
Parker KellyCleveland Monsters (CBS)C/LW/RW241999-05-14CANNo168 Lbs5 ft11NoNoN/ANoNo42024-08-07FalseFalsePro & Farm825,000$0$0$No825,000$825,000$825,000$---------------NoNoNo------Lien / Lien NHL
Pavel DorofeyevCleveland Monsters (CBS)LW/RW232000-10-26RUSNo167 Lbs6 ft1NoNoN/ANoNo42024-08-07FalseFalsePro & Farm1,835,000$0$0$No1,835,000$1,835,000$1,835,000$---------------NoNoNo------Lien / Lien NHL
Zach SolowCleveland Monsters (CBS)RW251998-11-06USANo174 Lbs5 ft9NoNoN/ANoNo22024-08-07FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.08191 Lbs6 ft12.29924,514$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevJack DruryParker Kelly40122
2Nils HoglanderDevin ShoreJoshua Roy30122
3Bobby McMannEgor AfanasyevLukas Rousek20122
4Kieffer BellowsLinus KarlssonChase Stillman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanDillon Heatherington40122
2Christian WolaninAustin Strand30122
3Axel AnderssonDavid Farrance20122
4Dylan CoghlanDillon Heatherington10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevJack DruryParker Kelly50122
2Nils HoglanderDevin ShoreJoshua Roy50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanDillon Heatherington50122
2Christian WolaninAustin Strand50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack DruryPavel Dorofeyev50122
2Parker KellyNils Hoglander50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanDillon Heatherington50122
2Christian WolaninAustin Strand50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Parker Kelly50122Dylan CoghlanDillon Heatherington50122
2Pavel Dorofeyev50122Christian WolaninAustin Strand50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack DruryPavel Dorofeyev50122
2Parker KellyNils Hoglander50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanDillon Heatherington50122
2Christian WolaninAustin Strand50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevJack DruryParker KellyDylan CoghlanDillon Heatherington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevJack DruryParker KellyDylan CoghlanDillon Heatherington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bobby McMann, Kieffer Bellows, Egor AfanasyevBobby McMann, Kieffer BellowsEgor Afanasyev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Axel Andersson, David Farrance, Christian WolaninAxel AnderssonDavid Farrance, Christian Wolanin
Tirs de pénalité
Jack Drury, Pavel Dorofeyev, Parker Kelly, Nils Hoglander, Joshua Roy
Gardien
#1 : Jacob Ingham, #2 : Cal Petersen
Lignes d’attaque personnalisées en prolongation
Jack Drury, Pavel Dorofeyev, Parker Kelly, Nils Hoglander, Joshua Roy, Bobby McMann, Bobby McMann, Devin Shore, Kieffer Bellows, Egor Afanasyev, Lukas Rousek
Lignes de défense personnalisées en prolongation
Dylan Coghlan, Dillon Heatherington, Christian Wolanin, Austin Strand, Axel Andersson


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
1San Jose Barracuda11000000927110000009270000000000021.0009172600326229181527424716217228.57%8275.00%1223956.41%224252.38%112937.93%523542162914
2Stockton Heat10000010321000000000001000001032121.0003470032623218152743611423400.00%20100.00%0223956.41%224252.38%112937.93%523542162914
Total210000101248110000009271000001032141.0001221330032626118152746018204411218.18%10280.00%1223956.41%224252.38%112937.93%523542162914
_Since Last GM Reset210000101248110000009271000001032141.0001221330032626118152746018204411218.18%10280.00%1223956.41%224252.38%112937.93%523542162914
_Vs Conference210000101248110000009271000001032141.0001221330032626118152746018204411218.18%10280.00%1223956.41%224252.38%112937.93%523542162914
_Vs Division210000101248110000009271000001032141.0001221330032626118152746018204411218.18%10280.00%1223956.41%224252.38%112937.93%523542162914

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W1122133616018204400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2100010124
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000092
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100001032
Derniers 10 matchs
WLOTWOTL SOWSOL
100010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%10280.00%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
18152743262
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
223956.41%224252.38%112937.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
523542162914


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
12Cleveland Monsters3Stockton Heat2WXXSommaire du match
420San Jose Barracuda2Cleveland Monsters9WSommaire du match
948Toronto Marlies-Cleveland Monsters-
1268San Diego Gulls-Cleveland Monsters-
1484Cleveland Monsters-San Diego Gulls-
17101Abbotsford Canucks-Cleveland Monsters-
19116Cleveland Monsters-Stockton Heat-
22132Stockton Heat-Cleveland Monsters-
24144Cleveland Monsters-Toronto Marlies-
25155Cleveland Monsters-Abbotsford Canucks-
29173Henderson Silver Knights-Cleveland Monsters-
32193Bakersfield Condors-Cleveland Monsters-
33196Cleveland Monsters-Henderson Silver Knights-
36213Cleveland Monsters-San Jose Barracuda-
39231Cleveland Monsters-Bakersfield Condors-
41243Stockton Heat-Cleveland Monsters-
44258Cleveland Monsters-Bakersfield Condors-
48280Henderson Silver Knights-Cleveland Monsters-
51299Abbotsford Canucks-Cleveland Monsters-
53314Cleveland Monsters-Stockton Heat-
57337Henderson Silver Knights-Cleveland Monsters-
60357Cleveland Monsters-Bakersfield Condors-
61368San Jose Barracuda-Cleveland Monsters-
64387San Diego Gulls-Cleveland Monsters-
66393Cleveland Monsters-San Diego Gulls-
70421San Diego Gulls-Cleveland Monsters-
72432Cleveland Monsters-San Diego Gulls-
73437Cleveland Monsters-Abbotsford Canucks-
77460Cleveland Monsters-Henderson Silver Knights-
79471San Jose Barracuda-Cleveland Monsters-
82491Cleveland Monsters-Abbotsford Canucks-
83498Cleveland Monsters-Toronto Marlies-
85509Toronto Marlies-Cleveland Monsters-
88529Cleveland Monsters-San Jose Barracuda-
89540Abbotsford Canucks-Cleveland Monsters-
93560Cleveland Monsters-Toronto Marlies-
95571Stockton Heat-Cleveland Monsters-
100600Bakersfield Condors-Cleveland Monsters-
102614Cleveland Monsters-Utica Comets-
106634Texas Stars-Cleveland Monsters-
108646Cleveland Monsters-Bakersfield Condors-
110661Laval Rockets-Cleveland Monsters-
113681Cleveland Monsters-Ontario Reign-
116693Springfield Thunderbirds-Cleveland Monsters-
120718Charlotte Checkers-Cleveland Monsters-
124745Chicago Wolves-Cleveland Monsters-
129773Hershey Bears-Cleveland Monsters-
133798Cleveland Monsters-Stockton Heat-
134808Bellerive Senators-Cleveland Monsters-
137825Cleveland Monsters-Toronto Marlies-
140839Stockton Heat-Cleveland Monsters-
143864Lehigh Valley Phantoms-Cleveland Monsters-
145877Cleveland Monsters-Bridgeport Islanders-
149899Abbotsford Canucks-Cleveland Monsters-
151920Cleveland Monsters-Henderson Silver Knights-
153932Grand Rapids Griffins-Cleveland Monsters-
158961San Jose Barracuda-Cleveland Monsters-
160974Cleveland Monsters-San Jose Barracuda-
162993San Diego Gulls-Cleveland Monsters-
1651010Cleveland Monsters-Manitoba Moose-
1661024Ontario Reign-Cleveland Monsters-
1681038Cleveland Monsters-San Diego Gulls-
1711056Cleveland Monsters-Tucson Roadrunners-
1721059Bakersfield Condors-Cleveland Monsters-
1751083Cleveland Monsters-Stockton Heat-
1771092Henderson Silver Knights-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1811121Toronto Marlies-Cleveland Monsters-
1851143Cleveland Monsters-Henderson Silver Knights-
1871154Milwaukee Admirals-Cleveland Monsters-
1891170Cleveland Monsters-Scranton Penguins-
1921185Bakersfield Condors-Cleveland Monsters-
1941196Cleveland Monsters-San Jose Barracuda-
1971218Rochester Americans-Cleveland Monsters-
2001237Cleveland Monsters-Iowa Wild-
2021249Colorado Eagles-Cleveland Monsters-
2051261Cleveland Monsters-Abbotsford Canucks-
2091281Toronto Marlies-Cleveland Monsters-
2101288Cleveland Monsters-Coachella Valley Firebirds-
2111294Cleveland Monsters-Providence Bruins-
2121296Cleveland Monsters-Rockford IceDogs-
2131305Cleveland Monsters-Hartford Wolf Pack-
2151312Cleveland Monsters-Syracuse Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,8531,000
Assistance PCT92.65%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2853 - 95.10% 40,726$40,726$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 22,188,334$ 5,218,334$ 1,000,000$0$
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
1,629,040$ 212 102,724$ 21,777,488$




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