Please rotate your device to landscape mode for a better experience.
Connexion

Cleveland Monsters
GP: 20 | W: 9 | L: 8 | OTL: 3 | P: 27
GF: 61 | GA: 62 | PP%: 23.17% | PK%: 79.69%
DG: Josh | Morale : 40 | Moyenne d’équipe : 69
Prochains matchs #290 vs San Diego Gulls

Centre de jeu
Milwaukee Admirals
10-9-1, 30pts
1
3 Cleveland Monsters
9-8-3, 27pts
Team Stats
W1SéquenceL1
4-3-1Fiche domicile4-4-1
6-6-0Fiche domicile5-4-2
5-5-0Derniers 10 matchs4-5-1
2.60Buts par match 3.05
3.00Buts contre par match 3.10
34.92%Pourcentage en avantage numérique23.17%
79.07%Pourcentage en désavantage numérique79.69%
Bloomington Bison
7-11-2, 18pts
4
2 Cleveland Monsters
9-8-3, 27pts
Team Stats
W1SéquenceL1
3-8-0Fiche domicile4-4-1
4-3-2Fiche domicile5-4-2
3-6-1Derniers 10 matchs4-5-1
2.70Buts par match 3.05
3.75Buts contre par match 3.10
30.00%Pourcentage en avantage numérique23.17%
69.37%Pourcentage en désavantage numérique79.69%
Cleveland Monsters
9-8-3, 27pts
Jour 54
San Diego Gulls
8-10-2, 23pts
Statistiques d’équipe
L1SéquenceL3
4-4-1Fiche domicile4-6-1
5-4-2Fiche visiteur4-4-1
4-5-110 derniers matchs3-6-1
3.05Buts par match 3.25
3.10Buts contre par match 3.25
23.17%Pourcentage en avantage numérique33.33%
79.69%Pourcentage en désavantage numérique72.38%
Coachella Valley Firebirds
11-7-2, 31pts
Jour 57
Cleveland Monsters
9-8-3, 27pts
Statistiques d’équipe
W1SéquenceL1
4-5-0Fiche domicile4-4-1
7-2-2Fiche visiteur5-4-2
5-4-110 derniers matchs4-5-1
2.85Buts par match 3.05
2.55Buts contre par match 3.05
15.71%Pourcentage en avantage numérique23.17%
77.89%Pourcentage en désavantage numérique79.69%
Rochester Americans
15-4-1, 42pts
Jour 60
Cleveland Monsters
9-8-3, 27pts
Statistiques d’équipe
L1SéquenceL1
7-2-0Fiche domicile4-4-1
8-2-1Fiche visiteur5-4-2
7-2-110 derniers matchs4-5-1
3.65Buts par match 3.05
2.60Buts contre par match 3.05
30.51%Pourcentage en avantage numérique23.17%
84.00%Pourcentage en désavantage numérique79.69%
Meneurs d'équipe
Buts
Mark Arcobello
11
Passes
Olen Zellweger
13
Points
Mark Arcobello
22
Plus/Moins
Filip Zadina
3
Victoires
Collin Delia
8
Pourcentage d’arrêts
Matt O'Connor
0.906

Statistiques d’équipe
Buts pour
61
3.05 GFG
Tirs pour
718
35.90 Avg
Pourcentage en avantage numérique
23.2%
19 GF
Début de zone offensive
40.6%
Buts contre
62
3.10 GAA
Tirs contre
593
29.65 Avg
Pourcentage en désavantage numérique
79.7%%
13 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralJosh
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,422
Billets de saison1,260


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 250
Espoirs64


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
1Chris Wagner0X100.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X99.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X100.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X99.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X99.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X99.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X99.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
17Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
18Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
Rayé
1Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
2Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
3Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
4Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
5Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
6Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
7Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
8Tim Heed0X100.005240778149727262506161756180665540660342750,000$
MOYENNE D’ÉQUIPE99.81714675747177776561686667667672544068
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
1Collin Delia099.007771718279798080797980776555407603121,071,427$
2Matt O'Connor0100.00746565907679807878797881665540750331600,000$
Rayé
1Roman Will0100.00775757807777787777777380655540730332750,000$
2Jeremy Smith0100.00786364787574757576747264655540710361500,000$
MOYENNE D’ÉQUIPE99.7577646483777778787877767665554074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mark ArcobelloCleveland Monsters (CBJ)C20111122-11010424291324212.09%1142021.0436910590000551054.97%453188101.0512101320
2Chris WagnerCleveland Monsters (CBJ)LW2071017249566188428488.33%1139119.55461018660000272150.00%28209000.8712010210
3Olen ZellwegerCleveland Monsters (CBJ)D183131604012355123305.88%4150327.95235571011353100%02123000.6400000102
4Lars EllerCleveland Monsters (CBJ)C207815-62010392940162817.50%831115.581232151011251154.07%17234010.9612011011
5Frank NazarCleveland Monsters (CBJ)C124711-5208284817248.33%825421.212461450000080052.85%333136000.8602000010
6Will CuylleCleveland Monsters (CBJ)LW154711-43325421635172911.43%526617.741344260001120068.75%1675000.8300302100
7Jakob PelletierCleveland Monsters (CBJ)LW165510-655163238193413.16%528417.7930310440110401046.67%15117000.7002100110
8Vasily PodkolzinCleveland Monsters (CBJ)RW20279-314105619369215.56%533716.87123861000001055.00%2058000.5300101001
9Jon MerrillCleveland Monsters (CBJ)D20077-27125154027780%2345222.62022346000032000%01012000.3100212000
10Sam ColangeloCleveland Monsters (CBJ)RW16437-5281017173181312.90%726616.67123342000000012.50%1637000.5301002001
11Sean KuralyCleveland Monsters (CBJ)C202571141028182611247.69%21959.7600000000000048.39%9373000.7200101001
12Xavier OuelletCleveland Monsters (CBJ)D17156-3311531403510162.86%2444226.05112970000141000%01113000.2700120000
13Chris KreiderCleveland Monsters (CBJ)C80553757146120%49011.35011050000140048.78%4102001.1000010000
14Eric RobinsonCleveland Monsters (CBJ)LW20325-37531133110229.68%222711.3700002000070050.00%1457000.4400010010
15Mackenzie MacEachernCleveland Monsters (CBJ)RW20325115537173510198.57%61778.8700000000001083.33%674000.5600001010
16Filip ZadinaCleveland Monsters (CBJ)RW13134375610194125.26%41088.320000100000000%120000.7411001000
17Brett LeasonCleveland Monsters (CBJ)RW1612311410147215224.76%51569.760000200000000%222000.3800002000
18Adam BeckmanCleveland Monsters (CBJ)LW41010207431133.33%14110.350000100005000%010000.4800000000
19Dan RenoufCleveland Monsters (CBJ)D20011-5211524253210180%2441820.90000050000041000%0412000.0500003000
20Jaycob MegnaCleveland Monsters (CBJ)D7011-255274230%28812.630000000006000%024000.2300100000
21Mikko LehtonenCleveland Monsters (CBJ)D160110555109720%819412.1600009000011000%006000.1000010000
22Nick SeelerCleveland Monsters (CBJ)D10011-19551411300%416116.200000100007000%034000.1200001000
23Tim HeedCleveland Monsters (CBJ)D51011002531133.33%05911.900000600000000%000000.3400000000
24Calle RosenCleveland Monsters (CBJ)D7000-200132220%59012.960000000003000%01300000000000
Statistiques d’équipe totales ou en moyenne36060106166-363731855134637182534218.36%215594016.501932518663812363968252.89%1210156149110.5641211818886
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
1Collin DeliaCleveland Monsters (CBJ)198820.8962.999822249469233100.66712182201
2Matt O'ConnorCleveland Monsters (CBJ)41010.9063.291640099652000028000
3Roman WillCleveland Monsters (CBJ)20000.8932.696700328140000010000
Statistiques d’équipe totales ou en moyenne259830.8973.021214226159329910122020201


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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 BeckmanCleveland Monsters (CBJ)LW242001-05-10CANYes183 Lbs6 ft2NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm900,000$655,851$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Brett LeasonCleveland Monsters (CBJ)RW261999-04-30CANNo218 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$728,723$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Brock McGinnCleveland Monsters (CBJ)LW311994-02-02CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$484,601$0$0$No665,000$--------665,000$--------No--------Lien
Calle RosenCleveland Monsters (CBJ)D311994-02-02SWENo176 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------Lien
Chris KreiderCleveland Monsters (CBJ)C341991-04-30USANo229 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------Lien
Chris WagnerCleveland Monsters (CBJ)LW341991-05-27USANo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$364,362$0$0$No---------------------------Lien
Collin DeliaCleveland Monsters (CBJ)G311994-06-20USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,071,427$780,774$0$0$No1,071,427$--------1,071,427$--------No--------Lien
Dan RenoufCleveland Monsters (CBJ)D311994-06-01CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No600,000$--------600,000$--------No--------Lien
Eric RobinsonCleveland Monsters (CBJ)LW301995-06-14USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Filip ZadinaCleveland Monsters (CBJ)RW251999-11-27CZENo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,750,000$1,275,266$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Frank NazarCleveland Monsters (CBJ)C212004-01-14USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,750,000$1,275,266$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Jakob PelletierCleveland Monsters (CBJ)LW242001-03-07CANYes170 Lbs5 ft9NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm1,000,000$728,723$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Jaycob MegnaCleveland Monsters (CBJ)D321992-12-10USANo220 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------Lien
Jeremy Smith (contrat à 1 volet)Cleveland Monsters (CBJ)G361989-04-13USANo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$364,362$0$0$No---------------------------Lien
Jon MerrillCleveland Monsters (CBJ)D331992-02-03USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------Lien
Lars EllerCleveland Monsters (CBJ)C361989-05-08DNKNo207 Lbs6 ft1NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,500,000$1,093,085$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Mackenzie MacEachernCleveland Monsters (CBJ)RW311994-03-09USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$484,601$0$0$No665,000$--------665,000$--------No--------Lien
Mark Arcobello (contrat à 1 volet)Cleveland Monsters (CBJ)C361988-08-12USANo172 Lbs5 ft8NoNoFree AgentNoNo22026-01-11FalseFalsePro & Farm1,500,000$1,093,085$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Matt O'ConnorCleveland Monsters (CBJ)G331992-02-14CANNo205 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------
Matthew PecaCleveland Monsters (CBJ)C321993-04-27CANNo181 Lbs5 ft8NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No---------------------------Lien
Mikko LehtonenCleveland Monsters (CBJ)D311994-01-16FINNo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$437,234$0$0$No600,000$--------600,000$--------No--------
Nick SeelerCleveland Monsters (CBJ)D321993-06-03USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$455,452$0$0$No---------------------------Lien
Olen ZellwegerCleveland Monsters (CBJ)D212003-09-10CANYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$728,723$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Roman WillCleveland Monsters (CBJ)G331992-05-22CZENo195 Lbs6 ft1NoNoFree AgentNoNo22025-10-29FalseFalsePro & Farm750,000$546,543$0$0$No750,000$--------750,000$--------No--------
Sam ColangeloCleveland Monsters (CBJ)RW232001-12-26USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$655,851$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Sean KuralyCleveland Monsters (CBJ)C321993-01-20USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$455,452$0$0$No---------------------------Lien
Tim HeedCleveland Monsters (CBJ)D341991-01-27SWENo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm750,000$546,543$0$0$No750,000$--------750,000$--------No--------
Vasily PodkolzinCleveland Monsters (CBJ)RW242001-06-24RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$1,093,085$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Will CuylleCleveland Monsters (CBJ)LW232002-02-05CANYes211 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$582,979$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Xavier OuelletCleveland Monsters (CBJ)D311993-07-29FRANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm750,000$546,543$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3029.83195 Lbs6 ft11.97863,381$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleFrank NazarSam Colangelo40014
2Chris WagnerMark ArcobelloVasily Podkolzin30014
3Jakob PelletierLars EllerMackenzie MacEachern20032
4Eric RobinsonSean KuralyBrett Leason10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet45032
2Jon MerrillDan Renouf35032
3Jaycob MegnaCalle Rosen20032
4Xavier OuelletOlen Zellweger0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleFrank NazarSam Colangelo60005
2Chris WagnerMark ArcobelloVasily Podkolzin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet60005
2Jon MerrillDan Renouf40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark ArcobelloJakob Pelletier60050
2Lars EllerChris Wagner40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet60050
2Jon MerrillDan Renouf40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mark Arcobello60050Olen ZellwegerXavier Ouellet60050
2Lars Eller40050Jon MerrillDan Renouf40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark ArcobelloChris Wagner60023
2Lars EllerJakob Pelletier40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet60032
2Jon MerrillDan Renouf40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WagnerFrank NazarJakob PelletierXavier OuelletOlen Zellweger
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierMark ArcobelloChris WagnerCalle RosenJon Merrill
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Frank Nazar, Mark Arcobello, Lars EllerFrank Nazar, Mark ArcobelloMark Arcobello
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Olen Zellweger, Xavier Ouellet, Jon MerrillOlen ZellwegerDan Renouf, Jon Merrill
Tirs de pénalité
Frank Nazar, Jakob Pelletier, Mark Arcobello, Chris Wagner, Lars Eller
Gardien
#1 : Collin Delia, #2 : Matt O'Connor
Lignes d’attaque personnalisées en prolongation
Mark Arcobello, Lars Eller, Chris Wagner, Jakob Pelletier, Will Cuylle, Vasily Podkolzin, , , ,
Lignes de défense personnalisées en prolongation
Olen Zellweger, Xavier Ouellet, Jon Merrill, Dan Renouf, Calle Rosen


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
1Abbotsford Canucks2020000039-61010000023-11010000016-500.000369001819216692612222301768224049400.00%10280.00%126248653.91%22843053.02%15028253.19%433245413189368182
2Bakersfield Condors1010000023-1000000000001010000023-100.000246001819216362612222301733153625100.00%30100.00%026248653.91%22843053.02%15028253.19%433245413189368182
3Bloomington Bison211000006511010000024-21100000041330.500610160018192166726122223017351215606116.67%5340.00%026248653.91%22843053.02%15028253.19%433245413189368182
4Coachella Valley Firebirds1000000134-1000000000001000000134-110.333358001819216352612222301732109316116.67%20100.00%026248653.91%22843053.02%15028253.19%433245413189368182
5Colorado Eagles1000010067-1000000000001000010067-110.33361218001819216382612222301738920203266.67%5180.00%026248653.91%22843053.02%15028253.19%433245413189368182
6Grand Rapids Griffins11000000312000000000001100000031231.00036900181921634261222230172723432200.00%20100.00%026248653.91%22843053.02%15028253.19%433245413189368182
7Greensboro Gargoyles10001000321000000000001000100032120.6673470018192164526122223017291622174125.00%6266.67%026248653.91%22843053.02%15028253.19%433245413189368182
8Henderson Silver Knights11000000431110000004310000000000031.000459001819216412612222301728128219333.33%3166.67%026248653.91%22843053.02%15028253.19%433245413189368182
9Laval Rocket10000010321100000103210000000000020.667347001819216312612222301730104405120.00%2150.00%026248653.91%22843053.02%15028253.19%433245413189368182
10Macon Whoopee1000010034-11000010034-10000000000010.3333580018192163726122223017461918224125.00%4175.00%026248653.91%22843053.02%15028253.19%433245413189368182
11Milwaukee Admirals22000000615110000003121100000030361.000611170118192167326122223017451246411327.27%20100.00%026248653.91%22843053.02%15028253.19%433245413189368182
12Pee Dee Pride1010000036-31010000036-30000000000000.00036900181921634261222230174792924300.00%7185.71%026248653.91%22843053.02%15028253.19%433245413189368182
13Reading Royals2010100069-3100010005411010000015-420.3336111700181921668261222230175818953912325.00%5180.00%026248653.91%22843053.02%15028253.19%433245413189368182
14Rockford IceHogs11000000707000000000001100000070731.00071118011819216342612222301718826164250.00%30100.00%026248653.91%22843053.02%15028253.19%433245413189368182
15San Diego Gulls1010000024-21010000024-20000000000000.0002460018192164026122223017351335237114.29%50100.00%026248653.91%22843053.02%15028253.19%433245413189368182
16Wheeling Nailers1010000012-1000000000001010000012-100.00012300181921636261222230172471030100.00%000%026248653.91%22843053.02%15028253.19%433245413189368182
Total2068022116162-1924011102731-411440110134313270.4506110616702181921671826122223017593215375513821923.17%641379.69%126248653.91%22843053.02%15028253.19%433245413189368182
_Since Last GM Reset2068022116162-1924011102731-411440110134313270.4506110616702181921671826122223017593215375513821923.17%641379.69%126248653.91%22843053.02%15028253.19%433245413189368182
_Vs Conference1767012015456-2824011002429-59430010130273230.451549615002181921660626122223017510182339426721723.61%561082.14%126248653.91%22843053.02%15028253.19%433245413189368182
_Vs Division622002002421320100100610-4421001001811780.444244468011819216213261222230172098313313917529.41%24387.50%026248653.91%22843053.02%15028253.19%433245413189368182

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2027L16110616771859321537551302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
206822116162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
92411102731
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
114411013431
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
821923.17%641379.69%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
261222230171819216
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
26248653.91%22843053.02%15028253.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
433245413189368182


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
29Pee Dee Pride6Cleveland Monsters3LSommaire du match
422Cleveland Monsters6Colorado Eagles7LXSommaire du match
640Macon Whoopee4Cleveland Monsters3LXSommaire du match
852Cleveland Monsters7Rockford IceHogs0WSommaire du match
1066Cleveland Monsters3Grand Rapids Griffins1WSommaire du match
1280Cleveland Monsters2Bakersfield Condors3LSommaire du match
1498Henderson Silver Knights3Cleveland Monsters4WSommaire du match
16112Cleveland Monsters3Greensboro Gargoyles2WXSommaire du match
17119Laval Rocket2Cleveland Monsters3WXXSommaire du match
20139Cleveland Monsters1Wheeling Nailers2LSommaire du match
24151Cleveland Monsters3Coachella Valley Firebirds4LXXSommaire du match
26162San Diego Gulls4Cleveland Monsters2LSommaire du match
30182Cleveland Monsters4Bloomington Bison1WSommaire du match
33196Cleveland Monsters3Milwaukee Admirals0WSommaire du match
36210Cleveland Monsters1Abbotsford Canucks6LSommaire du match
38219Reading Royals4Cleveland Monsters5WXSommaire du match
41233Cleveland Monsters1Reading Royals5LSommaire du match
45250Abbotsford Canucks3Cleveland Monsters2LSommaire du match
48263Milwaukee Admirals1Cleveland Monsters3WSommaire du match
51277Bloomington Bison4Cleveland Monsters2LSommaire du match
54290Cleveland Monsters-San Diego Gulls-
57305Coachella Valley Firebirds-Cleveland Monsters-
60320Rochester Americans-Cleveland Monsters-
62330Cleveland Monsters-Utica Devils-
63340Iowa Heartlanders-Cleveland Monsters-
65354Cleveland Monsters-Providence Bruins-
68376Bakersfield Condors-Cleveland Monsters-
70390Grand Rapids Griffins-Cleveland Monsters-
72404Rockford IceHogs-Cleveland Monsters-
74418Cleveland Monsters-Macon Whoopee-
77429Savannah Ghost Pirates-Cleveland Monsters-
79446Trois Rivieres Lions-Cleveland Monsters-
81457Cleveland Monsters-Lehigh Valley Phantoms-
84472Cleveland Monsters-Milwaukee Admirals-
86485Cleveland Monsters-Abbotsford Canucks-
89500Reading Royals-Cleveland Monsters-
91508Athens Rock Lobsters-Cleveland Monsters-
94529Cleveland Monsters-Athens Rock Lobsters-
96540Cleveland Monsters-Bridgeport Islanders-
97547Bridgeport Islanders-Cleveland Monsters-
99566Orlando Solar Bears-Cleveland Monsters-
101576Cleveland Monsters-Greenville Swamp Rabbits-
103591Colorado Eagles-Cleveland Monsters-
106607Cleveland Monsters-Pee Dee Pride-
110626Cleveland Monsters-Henderson Silver Knights-
114644Coachella Valley Firebirds-Cleveland Monsters-
117657Cleveland Monsters-San Diego Gulls-
119665Bloomington Bison-Cleveland Monsters-
121676Cleveland Monsters-Iowa Heartlanders-
123690Utica Devils-Cleveland Monsters-
125707Cleveland Monsters-Rochester Americans-
127719Wheeling Nailers-Cleveland Monsters-
130741Cleveland Monsters-Laval Rocket-
132756Greensboro Gargoyles-Cleveland Monsters-
135766Cleveland Monsters-Bakersfield Condors-
137780Cleveland Monsters-Grand Rapids Griffins-
139794Rockford IceHogs-Cleveland Monsters-
142810Macon Whoopee-Cleveland Monsters-
144824Providence Bruins-Cleveland Monsters-
147835Cleveland Monsters-Savannah Ghost Pirates-
149847Cleveland Monsters-Trois Rivieres Lions-
151855Lehigh Valley Phantoms-Cleveland Monsters-
153872Cleveland Monsters-Orlando Solar Bears-
156887Greenville Swamp Rabbits-Cleveland Monsters-
158899Milwaukee Admirals-Cleveland Monsters-
160912Abbotsford Canucks-Cleveland Monsters-
162927Cleveland Monsters-Reading Royals-
164941Cleveland Monsters-Bloomington Bison-
166955San Diego Gulls-Cleveland Monsters-
168970Cleveland Monsters-Coachella Valley Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171985Bakersfield Condors-Cleveland Monsters-
173999Grand Rapids Griffins-Cleveland Monsters-
1751013Cleveland Monsters-Rockford IceHogs-
1771027Cleveland Monsters-Macon Whoopee-
1801044Colorado Eagles-Cleveland Monsters-
1811058Cleveland Monsters-Colorado Eagles-
1831073Pee Dee Pride-Cleveland Monsters-
1841087Cleveland Monsters-Pee Dee Pride-
1861106Henderson Silver Knights-Cleveland Monsters-
1871120Cleveland Monsters-Henderson Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2612
Assistance15,4986,302
Assistance PCT86.10%70.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2422 - 80.74% 57,357$516,213$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
646,648$ 2,390,143$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 646,648$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,778,067$ 137 12,714$ 1,741,818$




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