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Cleveland Monsters
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 8
GF: 19 | GA: 17 | PP%: 16.67% | PK%: 89.47%
DG: Josh | Morale : 40 | Moyenne d’équipe : 69
Prochains matchs #77 vs Reading Royals

Centre de jeu
Cleveland Monsters
3-2-0, 8pts
3
FINAL
1 Pee Dee Pride
0-2-3, 3pts
Team Stats
L1SéquenceL2
1-1-0Fiche domicile0-1-2
2-1-0Fiche domicile0-1-1
3-2-0Derniers 10 matchs0-2-3
3.80Buts par match 1.80
3.40Buts contre par match 3.00
16.67%Pourcentage en avantage numérique16.67%
89.47%Pourcentage en désavantage numérique100.00%
Macon Whoopee
5-0-0, 14pts
7
FINAL
5 Cleveland Monsters
3-2-0, 8pts
Team Stats
W5SéquenceL1
2-0-0Fiche domicile1-1-0
3-0-0Fiche domicile2-1-0
5-0-0Derniers 10 matchs3-2-0
4.00Buts par match 3.80
2.40Buts contre par match 3.40
14.29%Pourcentage en avantage numérique16.67%
92.31%Pourcentage en désavantage numérique89.47%
Reading Royals
2-3-0, 5pts
Jour 12
Cleveland Monsters
3-2-0, 8pts
Statistiques d’équipe
W1SéquenceL1
1-2-0Fiche domicile1-1-0
1-1-0Fiche visiteur2-1-0
2-3-010 derniers matchs3-2-0
3.00Buts par match 3.80
3.80Buts contre par match 3.80
7.69%Pourcentage en avantage numérique16.67%
73.08%Pourcentage en désavantage numérique89.47%
Meneurs d'équipe
Buts
Mark Arcobello
4
Passes
Frank Nazar
7
Points
Frank Nazar
7
Plus/Moins
Chris Wagner
1
Victoires
Collin Delia
3
Pourcentage d’arrêts
Collin Delia
0.888

Statistiques d’équipe
Buts pour
19
3.80 GFG
Tirs pour
169
33.80 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
37.8%
Buts contre
17
3.40 GAA
Tirs contre
139
27.80 Avg
Pourcentage en désavantage numérique
89.5%%
2 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
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 250
Espoirs63


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 Wagner0X99.009445647566817674697577627782755540710341500,000$
2Mark Arcobello0X99.0084368286498181748478706075857855407103621,500,000$
3Will Cuylle (R)0X97.009952797280838368597572696968685540710233800,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Sammy Blais0X100.009761757179838068597169676878745540700294650,000$
6Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
12Xavier Ouellet0X97.007746737385818370507364756280705540730313750,000$
13Olen Zellweger (R)0X96.0055358394588181675076687269637355407102131,000,000$
14Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
15Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
16Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
17Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
Rayé
1Frank Nazar (R)0X71.7754358091538181607873685971637355406802131,750,000$
2Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
3Jakob Pelletier (R)0X80.5457358087507575636469656870708055406702431,000,000$
4Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
5Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
6Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
7Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
8Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
9Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
10Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
11Tim Heed0X100.005240778149727262506161756180665540660342750,000$
MOYENNE D’ÉQUIPE97.87724675747177776561686667657772554068
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 Delia098.007771718279798080797980776555407603121,071,427$
2Matt O'Connor0100.00746565907679807878797881665540750331600,000$
Rayé
1Roman Will0100.00775757807777787777777380655540730332750,000$
2Jeremy Smith0100.00786364787574757576747264655540710361500,000$
MOYENNE D’ÉQUIPE99.5077646483777778787877767665554074
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
1Frank NazarCleveland Monsters (CBJ)C5077075414225190%210821.720221150000160056.12%13924001.2901010000
2Mark ArcobelloCleveland Monsters (CBJ)C54370758112271218.18%19719.561012100002110058.25%10362001.4300001020
3Chris WagnerCleveland Monsters (CBJ)LW515616015520795.00%19819.60011090000121016.67%663001.2200000002
4Will CuylleCleveland Monsters (CBJ)LW5325-2751511931333.33%511222.560220160000171055.56%922000.8911001110
5Jon MerrillCleveland Monsters (CBJ)D5134-1953533033.33%49920.0000009000012000%013000.8000100000
6Sammy BlaisCleveland Monsters (CBJ)RW522402013261533.33%25010.17000000000000100.00%101001.5700000000
7Olen ZellwegerCleveland Monsters (CBJ)D512310031118485.56%514128.34000615000019000%094000.4200000100
8Sam ColangeloCleveland Monsters (CBJ)RW5303-1341086122725.00%18517.17101516000000030.77%1331000.7000002000
9Xavier OuelletCleveland Monsters (CBJ)D5123111595102310.00%713426.94101215000015000%026000.4500001000
10Lars EllerCleveland Monsters (CBJ)C5112-120141012258.33%16913.8600001000150067.86%2820000.5800000000
11Sean KuralyCleveland Monsters (CBJ)C5022140536120%0397.9300000000000050.00%1620001.0100000000
12Dan RenoufCleveland Monsters (CBJ)D5011-1751386020%310220.4300001000001200100.00%100000.2000010000
13Mackenzie MacEachernCleveland Monsters (CBJ)LW51010003260416.67%1397.950000000000000%012000.5000000000
14Brett LeasonCleveland Monsters (CBJ)RW5000100661030%0438.720000000000000%00100000000000
15Calle RosenCleveland Monsters (CBJ)D5000000072000%36312.690000200001000%00200000000000
16Eric RobinsonCleveland Monsters (CBJ)LW1000000100000%099.880000000000000%00000000000000
17Jakob PelletierCleveland Monsters (CBJ)LW4000000236460%0399.950000000012000%21000000000000
18Jaycob MegnaCleveland Monsters (CBJ)D5000000420000%16613.300000000005000%00200000000000
19Vasily PodkolzinCleveland Monsters (CBJ)RW50001751368200%27515.1300009000000066.67%60000000010000
Statistiques d’équipe totales ou en moyenne90183048010345139117169439810.65%39147916.443581613600041332055.86%3243733000.6512135232
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)53100.8883.17265001412555001.000350010
2Matt O'ConnorCleveland Monsters (CBJ)10100.8463.1638002136010005000
Statistiques d’équipe totales ou en moyenne63200.8843.1730300161386101355010


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 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$900,000$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$1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Brock McGinnCleveland Monsters (CBJ)LW311994-02-02CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$665,000$0$0$No665,000$--------665,000$--------No--------Lien
Calle RosenCleveland Monsters (CBJ)D311994-02-02SWENo176 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien
Chris KreiderCleveland Monsters (CBJ)C341991-04-30USANo229 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien
Chris WagnerCleveland Monsters (CBJ)LW341991-05-27USANo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Cole BardreauCleveland Monsters (CBJ)LW311993-07-22USANo185 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$665,000$0$0$No665,000$--------665,000$--------No--------Lien
Collin DeliaCleveland Monsters (CBJ)G311994-06-20USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,071,427$1,071,427$0$0$No1,071,427$--------1,071,427$--------No--------Lien
Dan RenoufCleveland Monsters (CBJ)D311994-06-01CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------Lien
Eric RobinsonCleveland Monsters (CBJ)LW301995-06-14USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$600,000$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$1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Frank Nazar (sur la masse salariale)Cleveland Monsters (CBJ)C212004-01-14USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,750,000$1,750,000$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$1,000,000$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$600,000$0$0$No---------------------------Lien
Jeremy Smith (contrat à 1 volet)Cleveland Monsters (CBJ)G361989-04-13USANo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Jon MerrillCleveland Monsters (CBJ)D331992-02-03USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien
Lars EllerCleveland Monsters (CBJ)C361989-05-08DNKNo207 Lbs6 ft1NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Mackenzie MacEachernCleveland Monsters (CBJ)LW311994-03-09USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$665,000$0$0$No665,000$--------665,000$--------No--------Lien
Mark ArcobelloCleveland Monsters (CBJ)C361988-08-12USANo172 Lbs5 ft8NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Matt O'ConnorCleveland Monsters (CBJ)G331992-02-14CANNo205 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------
Matthew PecaCleveland Monsters (CBJ)C321993-04-27CANNo181 Lbs5 ft8NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No---------------------------Lien
Mikko LehtonenCleveland Monsters (CBJ)D311994-01-16FINNo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------
Nick SeelerCleveland Monsters (CBJ)D321993-06-03USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$625,000$0$0$No---------------------------Lien
Olen ZellwegerCleveland Monsters (CBJ)D212003-09-10CANYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$1,000,000$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$750,000$0$0$No750,000$--------750,000$--------No--------
Sam ColangeloCleveland Monsters (CBJ)RW232001-12-26USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Sammy BlaisCleveland Monsters (CBJ)RW291996-06-17CANNo209 Lbs6 ft2NoNoFree AgentNoNo42025-10-28FalseFalsePro & Farm650,000$650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------Lien
Sean KuralyCleveland Monsters (CBJ)C321993-01-20USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$625,000$0$0$No---------------------------Lien
Tim HeedCleveland Monsters (CBJ)D341991-01-27SWENo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------
Vasily PodkolzinCleveland Monsters (CBJ)RW242001-06-24RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$1,500,000$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$800,000$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$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3229.84195 Lbs6 ft12.03850,513$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleSam Colangelo40014
2Chris WagnerMark ArcobelloVasily Podkolzin35014
3Eric RobinsonLars EllerSammy Blais20023
4Mackenzie MacEachernSean KuralyBrett Leason5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet45032
2Jon MerrillDan Renouf35032
3Calle RosenJaycob Megna20041
4Olen ZellwegerXavier Ouellet0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleSam 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
1Will Cuylle60050
2Mark ArcobelloChris 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
160050Olen ZellwegerXavier Ouellet60050
2Mark Arcobello40050Jon MerrillDan Renouf40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Will Cuylle60023
2Mark ArcobelloChris Wagner40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olen ZellwegerXavier Ouellet60032
2Jon MerrillDan Renouf40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WagnerWill CuylleOlen ZellwegerXavier Ouellet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleChris WagnerOlen ZellwegerXavier Ouellet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Mark Arcobello, Lars Eller, Mark Arcobello
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Olen Zellweger, Xavier Ouellet, Jon MerrillDan RenoufJaycob Megna, Calle Rosen
Tirs de pénalité
, Will Cuylle, Mark Arcobello, Chris Wagner, Sammy Blais
Gardien
#1 : Collin Delia, #2 : Matt O'Connor
Lignes d’attaque personnalisées en prolongation
, Mark Arcobello, Lars Eller, Chris Wagner, Will Cuylle, Eric Robinson, Sammy Blais, Vasily Podkolzin, Mackenzie MacEachern, Brett Leason
Lignes de défense personnalisées en prolongation
Olen Zellweger, Xavier Ouellet, Jon Merrill, Dan Renouf, Jaycob Megna


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
1Macon Whoopee20200000710-31010000057-21010000023-100.00071320106751715760495551847615120.00%60100.00%06512153.72%7711566.96%398446.43%10457104499544
2Pee Dee Pride21000010633100000103211100000031250.833671300675162576049563164353600.00%9188.89%06512153.72%7711566.96%398446.43%10457104499544
3Reading Royals11000000642000000000001100000064231.0006101600675136576049521513257228.57%4175.00%06512153.72%7711566.96%398446.43%10457104499544
Total52200010191722010001089-132100000118380.53319304910675116957604951393910313918316.67%19289.47%06512153.72%7711566.96%398446.43%10457104499544
_Since Last GM Reset52200010191722010001089-132100000118380.53319304910675116957604951393910313918316.67%19289.47%06512153.72%7711566.96%398446.43%10457104499544
_Vs Conference52200010191722010001089-132100000118380.53319304910675116957604951393910313918316.67%19289.47%06512153.72%7711566.96%398446.43%10457104499544
_Vs Division41200010131302010001089-12110000054150.417132033106751133576049511834901141119.09%15193.33%06512153.72%7711566.96%398446.43%10457104499544

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58L11930491691393910313910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52200101917
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201001089
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000118
Derniers 10 matchs
WLOTWOTL SOWSOL
320000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18316.67%19289.47%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
57604956751
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
6512153.72%7711566.96%398446.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10457104499544


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
27Cleveland Monsters6Reading Royals4WSommaire du match
421Cleveland Monsters2Macon Whoopee3LSommaire du match
635Pee Dee Pride2Cleveland Monsters3WXXSommaire du match
849Cleveland Monsters3Pee Dee Pride1WSommaire du match
1063Macon Whoopee7Cleveland Monsters5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1277Reading Royals-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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,496,643$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$




Cleveland Monsters Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Cleveland Monsters Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Cleveland Monsters Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Cleveland Monsters Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Cleveland Monsters Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA