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Cleveland Monsters
GP: 72 | W: 51 | L: 16 | OTL: 5 | P: 107
GF: 241 | GA: 156 | PP%: 20.90% | PK%: 84.09%
DG: David Kosarek | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #1164 vs W-B/Scranton Penguins
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Centre de jeu
Cleveland Monsters
51-16-5, 107pts
4
FINAL
0 Tucson Roadrunners
49-21-3, 101pts
Team Stats
L1SéquenceL1
28-6-2Fiche domicile26-10-1
23-10-3Fiche domicile23-11-2
7-2-1Derniers 10 matchs7-3-0
3.35Buts par match 3.29
2.17Buts contre par match 2.47
20.90%Pourcentage en avantage numérique21.23%
84.09%Pourcentage en désavantage numérique79.61%
Cleveland Monsters
51-16-5, 107pts
2
FINAL
4 W-B/Scranton Penguins
19-44-9, 47pts
Team Stats
L1SéquenceW1
28-6-2Fiche domicile13-19-5
23-10-3Fiche domicile6-25-4
7-2-1Derniers 10 matchs3-6-1
3.35Buts par match 2.88
2.17Buts contre par match 3.86
20.90%Pourcentage en avantage numérique13.74%
84.09%Pourcentage en désavantage numérique67.89%
W-B/Scranton Penguins
19-44-9, 47pts
Jour 143
Cleveland Monsters
51-16-5, 107pts
Statistiques d’équipe
W1SéquenceL1
13-19-5Fiche domicile28-6-2
6-25-4Fiche visiteur23-10-3
3-6-110 derniers matchs7-2-1
2.88Buts par match 3.35
3.86Buts contre par match 3.35
13.74%Pourcentage en avantage numérique20.90%
67.89%Pourcentage en désavantage numérique84.09%
Colorado Eagles
44-24-5, 93pts
Jour 145
Cleveland Monsters
51-16-5, 107pts
Statistiques d’équipe
W4SéquenceL1
24-8-4Fiche domicile28-6-2
20-16-1Fiche visiteur23-10-3
6-4-010 derniers matchs7-2-1
3.22Buts par match 3.35
2.67Buts contre par match 3.35
24.00%Pourcentage en avantage numérique20.90%
81.20%Pourcentage en désavantage numérique84.09%
Bridgeport Islanders
49-21-2, 100pts
Jour 148
Cleveland Monsters
51-16-5, 107pts
Statistiques d’équipe
W1SéquenceL1
26-8-2Fiche domicile28-6-2
23-13-0Fiche visiteur23-10-3
8-1-110 derniers matchs7-2-1
3.68Buts par match 3.35
2.58Buts contre par match 3.35
17.56%Pourcentage en avantage numérique20.90%
81.42%Pourcentage en désavantage numérique84.09%
Meneurs d'équipe
Colin WhiteButs
Colin White
32
Josh MahuraPasses
Josh Mahura
46
Jansen HarkinsPoints
Jansen Harkins
65
Jake ChristiansenPlus/Moins
Jake Christiansen
46
Michael HutchinsonVictoires
Michael Hutchinson
42
Pourcentage d’arrêts
Remi Poirier
0.943

Statistiques d’équipe
Buts pour
241
3.35 GFG
Tirs pour
2142
29.75 Avg
Pourcentage en avantage numérique
20.9%
42 GF
Début de zone offensive
43.3%
Buts contre
156
2.17 GAA
Tirs contre
1632
22.67 Avg
Pourcentage en désavantage numérique
84.1%%
35 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralDavid Kosarek
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1Colin White
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 80
Espoirs46


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
1Colin White (A)XX100.007049727274698765645760666664560506202611,100,000$
2Brad MaloneXX100.007642696980656259755150655780720506003421,200,000$
3Jansen HarkinsXX100.00663778727671656452555866606455050600261800,000$
4Hugh McGing (R)XX100.00644175686369676360616062596253050590251400,000$
5Hunter McKown (R)X100.00663972657773625577555062515446050570213800,000$
6Connor McMichaelXX100.006235806970676164525150636456460505702221,000,000$
7Mavrik BourqueX100.005435846468435955445455556154460505402110100,000$
8Tim GettingerXX100.00553977558745575238515259566252050540251500,000$
9Tyler TullioXX100.005435846269405649354752555954450505202110100,000$
10Justin SourdifXX100.00573579626740554839494755575445050510219100,000$
11Ryan TverbergXX100.005335865772404540304040555054440504802110100,000$
12Marcus Bjork (R)X100.007538717082827060306662725764580506502511,200,000$
13Josh MahuraX100.007441697271749457306059695662530506402511,200,000$
14Billy SweezeyX100.00805072647780614930545569506657050620271900,000$
15Dysin MayoX100.00763975677470635030515572506657050610271900,000$
16Jake Christiansen (R)X100.00673876707376655830595566556051050610241700,000$
17Eddie WittchowX100.00614567538753554330434461507263050550307100,000$
18Hunter SkinnerX100.00583876557450544430454160495645050530228100,000$
Rayé
1Josh Dunne (R)X94.72734871698269616172515064586253050590242900,000$
2Kaedan Korczak (R)X70.38764174657981625230555564525646050600222700,000$
MOYENNE D’ÉQUIPE98.2066407565756363544453536356615205058
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
1Remi Poirier100.00595653746058606364595856480505602110100,000$
2Jet Greaves (R)100.0058696665616156576060575647050550222700,000$
Rayé
1Michael Hutchinson100.00636158786665616264635978710506003311,200,000$
2Garrett Metcalf100.0047464373474545474650556659050500273100,000$
MOYENNE D’ÉQUIPE100.005758557359575657595857645605055
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
1Wade AllisonBlue JacketsRW6730376737615180822766421510.87%15143421.4276134315001181475145.54%10100000.93000016103
2Jansen HarkinsCleveland Monsters (CBJ)C/LW722540653912023782417516910.37%8135218.7931013311640003265151.00%10000020.9600000432
3Colin WhiteCleveland Monsters (CBJ)C/RW7232326437220103952347518113.68%17150320.89831124164000815710459.57%18800000.8505000852
4Peyton KrebsBlue JacketsC/LW68293564315601491562487118911.69%9145821.45691547156112101597258.58%118300110.8825000966
5Josh MahuraCleveland Monsters (CBJ)D721346594164013167101396912.87%75164722.8911617421680110157400%000000.7200000442
6Marcus BjorkCleveland Monsters (CBJ)D6493645183001267810238678.82%74145722.7841216441501122164120%000000.6200000135
7Jake ChristiansenCleveland Monsters (CBJ)D728354346300775280285910.00%64156721.77538361480001164200%000000.5500000162
8Josh DunneCleveland Monsters (CBJ)C5414243832120558591376615.38%1187416.19112318000023159.78%99700000.8700000124
9Hugh McGingCleveland Monsters (CBJ)C/LW72152035181203676108357313.89%10106414.78066101080002661049.78%46200000.6614000014
10Dysin MayoCleveland Monsters (CBJ)D7210223222320976362213816.13%69134018.6232514790000129200%000000.4800000203
11Connor McMichaelCleveland Monsters (CBJ)C/LW7211203151005477151481147.28%11111915.541234380000142041.18%6800000.5501000133
12Hunter McKownCleveland Monsters (CBJ)C72111526922071118104346910.58%9109215.171457970000182158.59%111800000.4800000020
13Kaedan KorczakCleveland Monsters (CBJ)D693212412420113424015347.50%64126118.28011769000152110%000000.3800000203
14Michael AmadioBlue JacketsC/LW/RW21613199100213459134110.17%242720.361349360001520055.53%51500000.8900000111
15Brad MaloneCleveland Monsters (CBJ)C/LW6259141428056456215378.06%65198.381122150000302162.57%35800000.5400000111
16Brandon GignacBlue JacketsC/LW43661248025144593513.33%245410.580005290000411045.45%6600000.5311000011
17Tim GettingerCleveland Monsters (CBJ)LW/RW556612720191338122415.79%365411.900000110000250038.46%2600000.3700000022
18Billy SweezeyCleveland Monsters (CBJ)D66110118604415223164.55%184917.440111157000091000%000000.4500000012
19Mackie SamoskevichBlue JacketsC/RW1927972010293211186.25%129315.470000130001161053.14%27100000.6100000100
20Eddie WittchowCleveland Monsters (CBJ)D442357100219166812.50%1763414.4200005000011100%000000.1600000000
21Hunter SkinnerCleveland Monsters (CBJ)D3213462010413327.69%123019.430000000000000%000000.2700000001
22Justin SourdifCleveland Monsters (CBJ)C/RW12011-200322210%0836.9600002000000060.00%500000.2400000000
23Tyler TullioCleveland Monsters (CBJ)C/RW23101-3003583612.50%01335.810000000000000%300000.1500000000
24Mavrik BourqueCleveland Monsters (CBJ)C2100010061083130%31386.61000030000110038.83%1030000000000000
Statistiques d’équipe totales ou en moyenne12962404416814054735143312492143660154411.20%5002130816.4442801223391689246371542501456.58%556400130.64416001425147
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
1Michael HutchinsonCleveland Monsters (CBJ)61421540.9012.2136680613513660020.60010611312
2Remi PoirierCleveland Monsters (CBJ)119110.9431.3467003152640100.60051150301
Statistiques d’équipe totales ou en moyenne72511650.9082.084338091501630012157251613


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 Type Salaire actuel Salaire restantPlafond 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)D2707.07.1996No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$101,250$0$0$No------------------
Brad MaloneCleveland Monsters (CBJ)C/LW3407.07.1989No217 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$135,000$0$0$No1,200,000$--------No--------Lien NHL
Colin WhiteCleveland Monsters (CBJ)C/RW2607.07.1997No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$123,750$0$0$No------------------Lien NHL
Connor McMichaelCleveland Monsters (CBJ)C/LW2207.07.2001No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$112,500$0$0$No1,000,000$--------No--------Lien NHL
Dysin MayoCleveland Monsters (CBJ)D2707.07.1996No183 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$101,250$0$0$No------------------Lien NHL
Eddie WittchowCleveland Monsters (CBJ)D3007.07.1993No225 Lbs6 ft5NoNoN/ANoNo7Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---
Garrett MetcalfCleveland Monsters (CBJ)G2707.07.1996No185 Lbs6 ft2NoNoN/ANoNo3Farm Only100,000$11,250$0$0$No100,000$100,000$-------NoNo-------Lien NHL
Hugh McGingCleveland Monsters (CBJ)C/LW2507.07.1998Yes176 Lbs5 ft8NoNoN/ANoNo126.12.2023Pro & Farm400,000$45,000$0$0$No------------------Lien NHL
Hunter McKownCleveland Monsters (CBJ)C2107.07.2002Yes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$90,000$0$0$No800,000$800,000$-------NoNo-------
Hunter SkinnerCleveland Monsters (CBJ)D2207.07.2001No183 Lbs6 ft2NoNoN/ANoNo8Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien NHL
Jake ChristiansenCleveland Monsters (CBJ)D2407.07.1999Yes193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$78,750$0$0$No------------------Lien NHL
Jansen HarkinsCleveland Monsters (CBJ)C/LW2607.07.1997No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$90,000$0$0$No------------------Lien NHL
Jet GreavesCleveland Monsters (CBJ)G2207.07.2001Yes184 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$78,750$0$0$No700,000$--------No--------
Josh DunneCleveland Monsters (CBJ)C2407.07.1999Yes211 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$101,250$0$0$No900,000$--------No--------Lien NHL
Josh Mahura (contrat à 1 volet)Cleveland Monsters (CBJ)D2507.07.1998No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$135,000$0$0$No------------------Lien NHL
Justin SourdifCleveland Monsters (CBJ)C/RW2107.07.2002No172 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Kaedan KorczakCleveland Monsters (CBJ)D2207.07.2001Yes202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$78,750$0$0$No700,000$--------No--------Lien NHL
Marcus Bjork (contrat à 1 volet)Cleveland Monsters (CBJ)D2507.07.1998Yes211 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,200,000$135,000$0$0$No------------------
Mavrik BourqueCleveland Monsters (CBJ)C2107.07.2002No185 Lbs5 ft10NoNoTrade18.03.2024NoNo1006.12.2023Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Michael HutchinsonCleveland Monsters (CBJ)G3307.07.1990No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$135,000$0$0$No------------------Lien NHL
Remi PoirierCleveland Monsters (CBJ)G2107.07.2002No201 Lbs6 ft2NoNoN/ANoNo10Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Ryan TverbergCleveland Monsters (CBJ)C/RW2107.07.2002No190 Lbs6 ft0NoNoN/ANoNo10Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Tim GettingerCleveland Monsters (CBJ)LW/RW2507.07.1998No220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm500,000$56,250$0$0$No------------------Lien NHL
Tyler TullioCleveland Monsters (CBJ)C/RW2107.07.2002No181 Lbs5 ft11NoNoN/ANoNo10Farm Only100,000$11,250$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.67195 Lbs6 ft13.75625,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor McMichaelColin White35122
2Jansen HarkinsHugh McGingBrad Malone35113
3Tim GettingerHunter McKownMavrik Bourque25131
4Justin SourdifBrad MaloneTyler Tullio5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Billy SweezeyMarcus Bjork35122
2Jake ChristiansenJosh Mahura35122
3Dysin MayoEddie Wittchow20122
4Jake ChristiansenJosh Mahura10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hugh McGingBrad MaloneColin White50122
2Jansen HarkinsConnor McMichael50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus BjorkJosh Mahura54122
2Jake ChristiansenBilly Sweezey46122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneConnor McMichael50122
2Colin WhiteJansen Harkins50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Billy SweezeyJosh Mahura55122
2Jake ChristiansenMarcus Bjork45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Malone60122Billy SweezeyJosh Mahura55122
2Colin White40122Jake ChristiansenMarcus Bjork45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneJansen Harkins60122
2Colin WhiteConnor McMichael40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus BjorkJosh Mahura51122
2Jake ChristiansenBilly Sweezey49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MaloneColin WhiteMarcus BjorkJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MaloneColin WhiteMarcus BjorkJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Colin White, Jansen Harkins, Hugh McGingColin White, Jansen HarkinsColin White
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Billy Sweezey, Jake Christiansen, Marcus BjorkBilly SweezeyDysin Mayo, Jake Christiansen
Tirs de pénalité
Colin White, Hugh McGing, Brad Malone, , Jansen Harkins
Gardien
#1 : Remi Poirier, #2 : Jet Greaves


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 Canucks21001000743110000004221000100032141.00071017008683696577207017043358181632900.00%60100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
2Bakersfield Condors210000015501000000123-11100000032130.750510150086836965172070170433532116393133.33%8275.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
3Belleville Senators32100000743220000006241010000012-140.667712190186836968172070170433752222438112.50%100100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
4Bridgeport Islanders22000000624110000003121100000031241.0006121800868369651720701704334618843300.00%40100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
5Calgary Wranglers22000000826110000002111100000061541.0008152300868369667720701704334014203822100.00%100100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
6Charlotte Checkers2110000045-1110000003211010000013-220.500471100868369650720701704335571446600.00%7185.71%01356240656.36%1167205756.73%624109956.78%186012921536522953495
7Chicago Wolves2020000015-41010000003-31010000012-100.000123008683696637207017043360211639600.00%8187.50%01356240656.36%1167205756.73%624109956.78%186012921536522953495
8Coachella Valley Firebirds210000011275110000008261000000145-130.7501221330086836965572070170433531110363266.67%5180.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
9Colorado Eagles1000000123-1000000000001000000123-110.50024600868369629720701704331974216116.67%2150.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
10Grand Rapids Griffins31100010871110000002022010001067-140.6678132111868369679720701704338723246610330.00%12283.33%01356240656.36%1167205756.73%624109956.78%186012921536522953495
11Hartford Wolf Pack312000001214-220200000711-41100000053220.33312233510868369691720701704336922348011436.36%16568.75%01356240656.36%1167205756.73%624109956.78%186012921536522953495
12Henderson Silver Knights22000000523110000003121100000021141.00058130086836966772070170433311518435120.00%9188.89%01356240656.36%1167205756.73%624109956.78%186012921536522953495
13Hershey Bears320010001028110000002022100100082661.0001019290286836969472070170433512320607114.29%10190.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
14Iowa Wild21100000862110000004131010000045-120.500815230086836967172070170433431925503266.67%9277.78%01356240656.36%1167205756.73%624109956.78%186012921536522953495
15Laval Rocket33000000164121100000050522000000114761.0001629450186836968872070170433521818539444.44%8275.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
16Lehigh Valley Phantoms33000000835110000002112200000062461.00081523018683696727207017043361261473600.00%7271.43%01356240656.36%1167205756.73%624109956.78%186012921536522953495
17Manitoba Moose22000000826110000004131100000041341.000816240086836965672070170433361414343266.67%5180.00%11356240656.36%1167205756.73%624109956.78%186012921536522953495
18Milwaukee Admirals1010000012-11010000012-10000000000000.0001230086836962572070170433279617400.00%30100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
19Ontario Reign2000010168-21000000156-11000010012-120.50061218008683696637207017043357138386116.67%4250.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
20Providence Bruins321000001192211000008711100000032140.6671119300086836969372070170433832826655120.00%12191.67%01356240656.36%1167205756.73%624109956.78%186012921536522953495
21Rochester Americans3300000016791100000032122000000135861.000162945008683696105720701704336723165811327.27%60100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
22Rockford IceHogs22000000514110000003121100000020241.00059140186836965672070170433389638700.00%3166.67%11356240656.36%1167205756.73%624109956.78%186012921536522953495
23San Diego Gulls22000000936110000004131100000052341.00091827008683696597207017043336410416116.67%5180.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
24San Jose Barracuda21100000752110000004131010000034-120.500713200086836965572070170433462210353133.33%5180.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
25Springfield Thunderbirds21100000761110000006241010000014-320.5007121900868369668720701704334878344125.00%4250.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
26Syracuse Crunch22000000752220000007520000000000041.0007132000868369668720701704334594219222.22%2150.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
27Texas Stars22000000743110000004311100000031241.00071320008683696587207017043335118409222.22%4175.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
28Toronto Marlies330000001183220000008621100000032161.0001120310086836969572070170433671710557114.29%40100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
29Tucson Roadrunners211000006421010000024-21100000040420.50061117018683696617207017043346510367228.57%5260.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
30Utica Comets431000001569220000009182110000065160.750152843018683696131720701704337928329617211.76%140100.00%01356240656.36%1167205756.73%624109956.78%186012921536522953495
31W-B/Scranton Penguins31200000611-5110000004312020000028-620.333611170086836968372070170433691626636116.67%13192.31%01356240656.36%1167205756.73%624109956.78%186012921536522953495
Total7248160211424115685362860000212575503620100211211681351070.743241441682298683696214272070170433163250047314332014220.90%2203584.09%21356240656.36%1167205756.73%624109956.78%186012921536522953495
_Since Last GM Reset7248160211424115685362860000212575503620100211211681351070.743241441682298683696214272070170433163250047314332014220.90%2203584.09%21356240656.36%1167205756.73%624109956.78%186012921536522953495
_Vs Conference42291101010138924621174000006944252112701010694821620.7381382523902786836961244720701704339663012848611212319.01%1331787.22%01356240656.36%1167205756.73%624109956.78%186012921536522953495
_Vs Division2212701000804931126300000422418106401000382513260.5918014222213868369665972070170433531147134407651523.08%61788.52%01356240656.36%1167205756.73%624109956.78%186012921536522953495

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72107L124144168221421632500473143329
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7248162114241156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36286000212575
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
362010211211681
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2014220.90%2203584.09%2
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
720701704338683696
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
1356240656.36%1167205756.73%624109956.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
186012921536522953495


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
212Lehigh Valley Phantoms1Cleveland Monsters2BWSommaire du match
320Hartford Wolf Pack4Cleveland Monsters2BLSommaire du match
539Grand Rapids Griffins0Cleveland Monsters2BWSommaire du match
967Calgary Wranglers1Cleveland Monsters2BWSommaire du match
1076Cleveland Monsters4Iowa Wild5ALSommaire du match
1292San Diego Gulls1Cleveland Monsters4BWSommaire du match
14108Cleveland Monsters7Laval Rocket3AWSommaire du match
15119Bridgeport Islanders1Cleveland Monsters3BWSommaire du match
17137Cleveland Monsters3Texas Stars1AWSommaire du match
19148Syracuse Crunch3Cleveland Monsters4BWSommaire du match
21162Cleveland Monsters3Hershey Bears2AWXSommaire du match
22173Cleveland Monsters1Charlotte Checkers3ALSommaire du match
24190Texas Stars3Cleveland Monsters4BWSommaire du match
26207Cleveland Monsters1Grand Rapids Griffins3ALSommaire du match
28221Cleveland Monsters5Hartford Wolf Pack3AWSommaire du match
29228Tucson Roadrunners4Cleveland Monsters2BLSommaire du match
31243W-B/Scranton Penguins3Cleveland Monsters4BWSommaire du match
33257Cleveland Monsters5Hershey Bears0AWSommaire du match
34265Cleveland Monsters4Lehigh Valley Phantoms2AWSommaire du match
36286Rockford IceHogs1Cleveland Monsters3BWSommaire du match
38300Cleveland Monsters4Utica Comets2AWSommaire du match
39307Cleveland Monsters1Chicago Wolves2ALSommaire du match
41326Providence Bruins4Cleveland Monsters6BWSommaire du match
43342Laval Rocket0Cleveland Monsters5BWSommaire du match
45357Belleville Senators2Cleveland Monsters3BWSommaire du match
47376Ontario Reign6Cleveland Monsters5BLXXSommaire du match
48381Cleveland Monsters3Providence Bruins2AWSommaire du match
50399Cleveland Monsters3Bridgeport Islanders1AWSommaire du match
52417Springfield Thunderbirds2Cleveland Monsters6BWSommaire du match
53425Charlotte Checkers2Cleveland Monsters3BWSommaire du match
56448Cleveland Monsters3Toronto Marlies2AWSommaire du match
58467Utica Comets1Cleveland Monsters5BWSommaire du match
61491Cleveland Monsters5Rochester Americans2AWSommaire du match
62498Hershey Bears0Cleveland Monsters2BWSommaire du match
64516Toronto Marlies2Cleveland Monsters3BWSommaire du match
66528Cleveland Monsters2Utica Comets3ALSommaire du match
68549Toronto Marlies4Cleveland Monsters5BWSommaire du match
70565Cleveland Monsters8Rochester Americans3AWSommaire du match
72581Providence Bruins3Cleveland Monsters2BLSommaire du match
73588Cleveland Monsters2Lehigh Valley Phantoms0AWSommaire du match
75607Iowa Wild1Cleveland Monsters4BWSommaire du match
79641Cleveland Monsters4Manitoba Moose1AWSommaire du match
81655Coachella Valley Firebirds2Cleveland Monsters8BWSommaire du match
84678Abbotsford Canucks2Cleveland Monsters4BWSommaire du match
86696Utica Comets0Cleveland Monsters4BWSommaire du match
90729Cleveland Monsters3Bakersfield Condors2AWSommaire du match
92745Cleveland Monsters6Calgary Wranglers1AWSommaire du match
93757Cleveland Monsters3Abbotsford Canucks2AWXSommaire du match
95776Cleveland Monsters4Coachella Valley Firebirds5ALXXSommaire du match
97790Cleveland Monsters1Springfield Thunderbirds4ALSommaire du match
100813Syracuse Crunch2Cleveland Monsters3BWSommaire du match
102826Cleveland Monsters1Belleville Senators2ALSommaire du match
105861Cleveland Monsters3San Jose Barracuda4ALSommaire du match
108882Cleveland Monsters1Ontario Reign2ALXSommaire du match
109892Cleveland Monsters5San Diego Gulls2AWSommaire du match
111906Rochester Americans2Cleveland Monsters3BWSommaire du match
113918Hartford Wolf Pack7Cleveland Monsters5BLSommaire du match
116945Chicago Wolves3Cleveland Monsters0BLSommaire du match
118962Henderson Silver Knights1Cleveland Monsters3BWSommaire du match
119973Cleveland Monsters2Rockford IceHogs0AWSommaire du match
121988Cleveland Monsters0W-B/Scranton Penguins4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231005Bakersfield Condors3Cleveland Monsters2BLXXSommaire du match
1241012Milwaukee Admirals2Cleveland Monsters1BLSommaire du match
1261029Belleville Senators0Cleveland Monsters3BWSommaire du match
1281044Cleveland Monsters4Laval Rocket1AWSommaire du match
1291052San Jose Barracuda1Cleveland Monsters4BWSommaire du match
1321077Manitoba Moose1Cleveland Monsters4BWSommaire du match
1341092Cleveland Monsters5Grand Rapids Griffins4AWXXSommaire du match
1361109Cleveland Monsters2Colorado Eagles3ALXXSommaire du match
1371118Cleveland Monsters2Henderson Silver Knights1AWSommaire du match
1391133Cleveland Monsters4Tucson Roadrunners0AWSommaire du match
1411146Cleveland Monsters2W-B/Scranton Penguins4ALSommaire du match
1431164W-B/Scranton Penguins-Cleveland Monsters-
1451183Colorado Eagles-Cleveland Monsters-
1481208Bridgeport Islanders-Cleveland Monsters-
1491214Lehigh Valley Phantoms-Cleveland Monsters-
1511231Cleveland Monsters-Chicago Wolves-
1531247Cleveland Monsters-Syracuse Crunch-
1541257Cleveland Monsters-Charlotte Checkers-
1561274Cleveland Monsters-Milwaukee Admirals-
1591295Chicago Wolves-Cleveland Monsters-
1601303Cleveland Monsters-Hartford Wolf Pack-



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
5 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,360,792$ 1,260,000$ 1,230,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,875$ 1,360,792$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 18 7,875$ 141,750$




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