Connexion

Cleveland Monsters
GP: 30 | W: 18 | L: 7 | OTL: 5 | P: 41
GF: 93 | GA: 78 | PP%: 37.21% | PK%: 71.68%
DG: Peter Garlando | Morale : 44 | Moyenne d’équipe : 54
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Centre de jeu
Rochester Americans
12-15-2, 26pts
4
FINAL
3 Cleveland Monsters
18-7-5, 41pts
Team Stats
W1SéquenceW1
5-8-2Fiche domicile11-2-2
7-7-0Fiche domicile7-5-3
3-6-1Derniers 10 matchs6-2-2
3.93Buts par match 3.10
4.21Buts contre par match 2.60
38.20%Pourcentage en avantage numérique37.21%
64.04%Pourcentage en désavantage numérique71.68%
Cleveland Monsters
18-7-5, 41pts
1
FINAL
0 Springfield Thunderbirds
13-11-5, 31pts
Team Stats
W1SéquenceW1
11-2-2Fiche domicile9-3-2
7-5-3Fiche domicile4-8-3
6-2-2Derniers 10 matchs4-5-1
3.10Buts par match 3.62
2.60Buts contre par match 3.69
37.21%Pourcentage en avantage numérique38.37%
71.68%Pourcentage en désavantage numérique63.64%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
18
Trey Fix-WolanskyPasses
Trey Fix-Wolansky
23
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
41
Trey Fix-WolanskyPlus/Moins
Trey Fix-Wolansky
9
Craig AndersonVictoires
Craig Anderson
17
Craig AndersonPourcentage d’arrêts
Craig Anderson
0.904

Statistiques d’équipe
Buts pour
93
3.10 GFG
Tirs pour
765
25.50 Avg
Pourcentage en avantage numérique
37.2%
32 GF
Début de zone offensive
33.2%
Buts contre
78
2.60 GAA
Tirs contre
776
25.87 Avg
Pourcentage en désavantage numérique
71.7%%
32 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralPeter Garlando
EntraîneurPascal Vincent
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,797
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 60
Espoirs23


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
1Trey Fix-Wolansky0X100.005530785953808971306258625139374976590241775,000$
2Damien Giroux (R)0X100.005135887752828758407354613032355569590241818,333$
3Mason Shaw0X99.006499646755818154546159723038394663590251775,000$
4Tyler Angle (R)0X100.005130877541778754445268613032355477570232850,833$
5Justin Danforth0X99.005130996157813457305664563042462945560312975,000$
6Josh Dunne0X100.007649595087739153515051573035384426540251874,125$
7Hunter McKown (R)0X100.006033925775783956555550603031326450540213950,000$
8Carson Meyer0X100.006030775857727553305250623037403965540261775,000$
9Georgii Merkulov (R)0X100.003030895851658660305049483032355463500233975,000$
10Cameron Butler (R)0X100.005830993282443229302929393030326455380211775,000$
11Casey Dornbach0X100.003130943753423130303030413034384038360261775,000$
12Billy Sweezey0X99.007848575079838451305450773037413464610282775,000$
13Tim Berni (R)0X100.007130725971889453305352703036365568600241925,000$
14Jake Christiansen0X100.005336696164809253305649653035374960570241925,000$
15Stanislav Svozil (R)0X100.004930907155893273306950533529307653570211775,000$
16Samuel Knazko (R)0X100.004930945668807349304949633035327058550213847,500$
17Quinn Schmiemann (R)0X100.005030873772565535303432463031336044440221775,000$
18Ole Julian Bjorgvik-Holm (R)0X100.004430993868495038303230413030326830410213825,000$
Rayé
1Brendan Gaunce0X75.316442865093744852595650583047472947550302775,000$
2Corson Ceulemans (R)0X100.004835973869484032303131403029297926400211775,000$
MOYENNE D’ÉQUIPE98.62553784556571655136504857313536535452
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
1Craig Anderson0100.006672676969768586866874999929897604211,875,000$
2Spencer Martin0100.00528867796068717374507340543059640282775,000$
Rayé
1Jet Greaves (R)0100.00718766606162687471665335386034620232775,000$
MOYENNE D’ÉQUIPE100.0063826769636975787761675864406167
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent2525252512550CAN511500,000$


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
1Trey Fix-WolanskyCleveland Monsters (CBJ)RW2918234192405440106306616.98%1561021.04691519640000363040.00%401715001.3400000531
2Damien GirouxCleveland Monsters (CBJ)C28152035680446494314315.96%1355319.76561110510001312145.01%491257011.2700000451
3Tyler AngleCleveland Monsters (CBJ)C3091625812051549127509.89%2059819.95391211500007603149.16%297234000.8412000121
4Mikael PyyhtiaColumbus Blue JacketsLW189918700302958163915.52%933718.772353230001214045.45%11137001.0700000222
5Mason ShawCleveland Monsters (CBJ)C259817-35115523647113119.15%648219.3057127440002420156.14%1711312000.7002201121
6Justin DanforthCleveland Monsters (CBJ)RW27491360035354317309.30%545016.682465410003450057.14%35145000.5801000102
7Eric RobinsonColumbus Blue JacketsLW15761382033253272521.88%634222.872243260000331048.00%501215000.7600000004
8Tim BerniCleveland Monsters (CBJ)D3028102440563820111810.00%2964221.43123146000056000%0417000.3101000000
9Marcus BjorkColumbus Blue JacketsD1719107203131271183.70%2545626.83011530000150000%0811000.4400000011
10Brendan GaunceCleveland Monsters (CBJ)C273710060353525151912.00%842115.623365280000150159.38%12845000.4700000001
11Carson MeyerCleveland Monsters (CBJ)RW2836952026322581812.00%32689.5700000000002048.70%15429000.6700000120
12Stanislav SvozilCleveland Monsters (CBJ)D2208822051621340%1136116.45011013000119000%01013000.4400000001
13Billy SweezeyCleveland Monsters (CBJ)D29178959562393413122.94%5070924.46123673000070000%0832000.2300100000
14Josh DunneCleveland Monsters (CBJ)C13437418023182021220.00%424418.7700001000061062.86%3533000.5700000011
15Georgii MerkulovCleveland Monsters (CBJ)LW3042616024305919356.78%645515.18000020002341133.33%3103000.2600000010
16Hunter McKownCleveland Monsters (CBJ)C27224-4001417279237.41%1231511.67112314000020155.00%8026000.2500000000
17Quinn SchmiemannCleveland Monsters (CBJ)D271343406834233.33%938714.35112227000039000%015000.2100000000
18Jake ChristiansenCleveland Monsters (CBJ)D300228120323219690%3252717.60011342000067000%0514000.0800000000
19Ole Julian Bjorgvik-HolmCleveland Monsters (CBJ)D12011000030010%3826.8500001000013000%200000.2400000000
20Samuel KnazkoCleveland Monsters (CBJ)D28011-10033311550%2136413.030000000001000%027000.0500000000
21Cameron ButlerCleveland Monsters (CBJ)RW25000-100420110%11345.3700004000010033.33%30100000000000
22Corson CeulemansCleveland Monsters (CBJ)D11000000000000%0494.520000000004000%00100000000000
23Casey DornbachCleveland Monsters (CBJ)RW8000000000000%050.730000000000000%00000000000000
24David JiricekColumbus Blue JacketsD40001204133120%48220.710000300009000%00100000000000
Statistiques d’équipe totales ou en moyenne54092150242772542062463076524745312.03%292888516.45325284835930001866317649.80%1500176193010.5416301151916
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
1Craig AndersonCleveland Monsters (CBJ)2717640.9042.5116250168710356300.8336270221
2Spencer MartinCleveland Monsters (CBJ)41110.8642.8319100966360000325010
Statistiques d’équipe totales ou en moyenne3118750.9012.54181701777763923063025231


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Billy SweezeyCleveland Monsters (CBJ)D281996-02-06No206 Lbs6 ft1NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Brendan GaunceCleveland Monsters (CBJ)C301994-03-25No219 Lbs6 ft3NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Cameron ButlerCleveland Monsters (CBJ)RW212002-06-09Yes209 Lbs6 ft4NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien
Carson MeyerCleveland Monsters (CBJ)RW261997-08-18No184 Lbs5 ft11NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Casey DornbachCleveland Monsters (CBJ)RW261997-07-07No181 Lbs6 ft0NoNoFree AgentNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No------------------
Corson CeulemansCleveland Monsters (CBJ)D212003-05-05Yes198 Lbs6 ft2NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien
Craig Anderson (contrat à 1 volet)Cleveland Monsters (CBJ)G421981-05-21No187 Lbs6 ft2NoNoFree AgentNoNo12024-02-21FalseFalsePro & Farm1,875,000$725,000$19,333$No------------------Lien NHL
Damien GirouxCleveland Monsters (CBJ)C242000-03-03Yes179 Lbs5 ft10NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm818,333$0$0$No------------------Lien NHL
Georgii MerkulovCleveland Monsters (CBJ)LW232000-10-10Yes179 Lbs5 ft11NoNoFree AgentNoNo32024-02-22FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------NoNo-------
Hunter McKownCleveland Monsters (CBJ)C212002-08-18Yes205 Lbs6 ft1NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------Lien
Jake ChristiansenCleveland Monsters (CBJ)D241999-09-12No193 Lbs6 ft0NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Jet GreavesCleveland Monsters (CBJ)G232001-03-30Yes184 Lbs6 ft0NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Josh DunneCleveland Monsters (CBJ)C251998-12-08No211 Lbs6 ft4NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm874,125$0$0$No------------------Lien / Lien NHL
Justin Danforth (contrat à 1 volet)Cleveland Monsters (CBJ)RW311993-03-15No188 Lbs5 ft8NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm975,000$0$0$No975,000$--------No--------Lien / Lien NHL
Mason ShawCleveland Monsters (CBJ)C251998-11-03No184 Lbs5 ft10NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Ole Julian Bjorgvik-HolmCleveland Monsters (CBJ)D212002-05-23Yes194 Lbs6 ft3NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
Quinn SchmiemannCleveland Monsters (CBJ)D222001-07-27Yes201 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------
Samuel KnazkoCleveland Monsters (CBJ)D212002-08-07Yes198 Lbs6 ft1NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm847,500$0$0$No847,500$847,500$-------NoNo-------Lien
Spencer Martin (contrat à 1 volet)Cleveland Monsters (CBJ)G281995-06-08No191 Lbs6 ft3NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Stanislav SvozilCleveland Monsters (CBJ)D212003-01-17Yes183 Lbs6 ft0NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Tim BerniCleveland Monsters (CBJ)D242000-02-11Yes192 Lbs6 ft0NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Trey Fix-WolanskyCleveland Monsters (CBJ)RW241999-05-26No191 Lbs5 ft7NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Tyler AngleCleveland Monsters (CBJ)C232000-09-30Yes166 Lbs5 ft10NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm850,833$0$0$No850,833$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.96192 Lbs6 ft01.61875,687$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh DunneCarson MeyerTrey Fix-Wolansky40122
2Justin DanforthTyler AngleMason Shaw30122
3Georgii MerkulovHunter McKownDamien Giroux20122
4Tyler AngleJustin DanforthMason Shaw10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel KnazkoBilly Sweezey40122
2Tim BerniStanislav Svozil30122
3Jake ChristiansenOle Julian Bjorgvik-Holm20122
4Tim BerniJake Christiansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin DanforthMason ShawTrey Fix-Wolansky60122
2Damien GirouxTyler AngleHunter McKown40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stanislav SvozilBilly Sweezey60122
2Tim BerniJake Christiansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mason ShawJustin Danforth60122
2Tyler AngleTrey Fix-Wolansky40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stanislav SvozilBilly Sweezey60122
2Tim BerniJake Christiansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mason Shaw60122Billy SweezeyStanislav Svozil60122
2Tyler Angle40122Tim BerniJake Christiansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason ShawTrey Fix-Wolansky60122
2Tyler AngleJustin Danforth40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenStanislav Svozil60122
2Tim BerniBilly Sweezey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler AngleMason ShawTrey Fix-WolanskyTim BerniBilly Sweezey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler AngleMason ShawTrey Fix-WolanskyTim BerniBilly Sweezey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Tyler Angle, Trey Fix-WolanskyMason Shaw, Tyler AngleTyler Angle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Christiansen, Billy Sweezey, Tim BerniJake ChristiansenJake Christiansen, Tim Berni
Tirs de pénalité
Tyler Angle, Mason Shaw, Justin Danforth, Damien Giroux, Trey Fix-Wolansky
Gardien
#1 : Craig Anderson, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Josh Dunne, Carson Meyer, Trey Fix-Wolansky, Cameron Butler, Mason Shaw, Tyler Angle, Tyler Angle, Hunter McKown, Damien Giroux, Justin Danforth, Georgii Merkulov
Lignes de défense personnalisées en prolongation
Stanislav Svozil, Samuel Knazko, Tim Berni, Billy Sweezey, Jake Christiansen


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
1Belleville Senators21000010633100000103211100000031241.00067130015462844120029326215552163210110.00%30100.00%024849250.41%29559649.50%20439351.91%606291572301640328
2Bridgeport Islanders22000000844110000004221100000042241.000811190015462846820029326215351512577457.14%6266.67%024849250.41%29559649.50%20439351.91%606291572301640328
3Charlotte Checkers20200000211-91010000013-21010000018-700.000246001546284552002932621562261538600.00%5260.00%024849250.41%29559649.50%20439351.91%606291572301640328
4Grand Rapids Griffins2110000068-2110000005411010000014-320.500610160015462844720029326215582218399444.44%10550.00%024849250.41%29559649.50%20439351.91%606291572301640328
5Hartford Wolf Pack2000010135-21000000134-11000010001-120.50034700154628437200293262153715293711218.18%7271.43%024849250.41%29559649.50%20439351.91%606291572301640328
6Hershey Bears21100000440110000003121010000013-220.50047110015462846320029326215532518363133.33%9277.78%024849250.41%29559649.50%20439351.91%606291572301640328
7Laval Rocket20101000770100010003211010000045-120.500711180015462843820029326215361610354125.00%5260.00%024849250.41%29559649.50%20439351.91%606291572301640328
8Lehigh Valley Phantoms21001000642110000003211000100032141.000610160015462845320029326215641812614250.00%6183.33%024849250.41%29559649.50%20439351.91%606291572301640328
9Providence Bruins220000001239110000004131100000082641.00012193100154628455200293262156524193010880.00%7271.43%024849250.41%29559649.50%20439351.91%606291572301640328
10Rochester Americans210001006511000010034-11100000031230.750610160015462845820029326215572524404375.00%12375.00%024849250.41%29559649.50%20439351.91%606291572301640328
11Springfield Thunderbirds21001000514110000004131000100010141.00059140115462844620029326215361715454125.00%50100.00%024849250.41%29559649.50%20439351.91%606291572301640328
12Syracuse Crunch22000000633110000002111100000042241.00061117001546284522002932621554182238300.00%11281.82%024849250.41%29559649.50%20439351.91%606291572301640328
13Toronto Marlies210001001293110000007341000010056-130.75012213300154628461200293262156526224933100.00%11463.64%024849250.41%29559649.50%20439351.91%606291572301640328
14Utica Comets2010010035-21010000023-11000010012-110.2503690015462843620029326215391212444125.00%6350.00%024849250.41%29559649.50%20439351.91%606291572301640328
15Wilkes-Barre/Scranton Penguins21100000761110000005231010000024-220.500710170015462845520029326215601220434125.00%10280.00%024849250.41%29559649.50%20439351.91%606291572301640328
Total30147034119378151592011115235171555023004143-2410.6839315024301154628476520029326215776292254624863237.21%1133271.68%024849250.41%29559649.50%20439351.91%606291572301640328
_Since Last GM Reset30147034119378151592011115235171555023004143-2410.6839315024301154628476520029326215776292254624863237.21%1133271.68%024849250.41%29559649.50%20439351.91%606291572301640328
_Vs Conference30147034119378151592011115235171555023004143-2410.6839315024301154628476520029326215776292254624863237.21%1133271.68%024849250.41%29559649.50%20439351.91%606291572301640328
_Vs Division1663013105749883101110282088320020029290190.594579315000154628440720029326215452178136301492040.82%642068.75%024849250.41%29559649.50%20439351.91%606291572301640328

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3041W19315024376577629225462401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3014734119378
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
159211115235
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
155523004143
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
863237.21%1133271.68%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
200293262151546284
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
24849250.41%29559649.50%20439351.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
606291572301640328


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
316Toronto Marlies3Cleveland Monsters7WSommaire du match
529Cleveland Monsters5Toronto Marlies6LXSommaire du match
741Cleveland Monsters4Syracuse Crunch2WSommaire du match
952Springfield Thunderbirds1Cleveland Monsters4WSommaire du match
1170Cleveland Monsters4Bridgeport Islanders2WSommaire du match
1380Cleveland Monsters2Wilkes-Barre/Scranton Penguins4LSommaire du match
1493Charlotte Checkers3Cleveland Monsters1LSommaire du match
18115Hershey Bears1Cleveland Monsters3WSommaire du match
20127Cleveland Monsters0Hartford Wolf Pack1LXSommaire du match
22139Cleveland Monsters3Lehigh Valley Phantoms2WXSommaire du match
24151Grand Rapids Griffins4Cleveland Monsters5WSommaire du match
27175Cleveland Monsters1Hershey Bears3LSommaire du match
29182Cleveland Monsters3Belleville Senators1WSommaire du match
30191Lehigh Valley Phantoms2Cleveland Monsters3WSommaire du match
33214Providence Bruins1Cleveland Monsters4WSommaire du match
35228Cleveland Monsters1Utica Comets2LXSommaire du match
38244Cleveland Monsters3Rochester Americans1WSommaire du match
39255Wilkes-Barre/Scranton Penguins2Cleveland Monsters5WSommaire du match
42274Cleveland Monsters1Charlotte Checkers8LSommaire du match
44284Utica Comets3Cleveland Monsters2LSommaire du match
47305Cleveland Monsters8Providence Bruins2WSommaire du match
49317Laval Rocket2Cleveland Monsters3WXSommaire du match
51332Cleveland Monsters4Laval Rocket5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
54348Bridgeport Islanders2Cleveland Monsters4WSommaire du match
58379Hartford Wolf Pack4Cleveland Monsters3LXXSommaire du match
59390Cleveland Monsters1Grand Rapids Griffins4LSommaire du match
63410Syracuse Crunch1Cleveland Monsters2WSommaire du match
66429Belleville Senators2Cleveland Monsters3WXXSommaire du match
70451Rochester Americans4Cleveland Monsters3LXSommaire du match
71455Cleveland Monsters1Springfield Thunderbirds0WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,95314,005
Assistance PCT93.18%93.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2797 - 93.24% 118,051$1,770,760$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,133,968$ 1,651,579$ 1,651,579$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,640,728$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 29,075$ 29,075$




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