Connexion

Cleveland Monsters
GP: 72 | W: 42 | L: 23 | OTL: 7 | P: 91
GF: 194 | GA: 173 | PP%: 31.25% | PK%: 67.69%
DG: Fredrik Omdal | Morale : 66 | Moyenne d’équipe : 60
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Centre de jeu
Cleveland Monsters
42-23-7, 91pts
5
FINAL
3 Bridgeport Islanders
30-28-14, 74pts
Team Stats
W2SéquenceW1
20-13-3Fiche domicile14-12-10
22-10-4Fiche domicile16-16-4
5-4-1Derniers 10 matchs3-6-1
2.69Buts par match 2.19
2.40Buts contre par match 2.68
31.25%Pourcentage en avantage numérique31.90%
67.69%Pourcentage en désavantage numérique70.11%
Coachella Valley Firebirds
36-24-12, 84pts
2
FINAL
4 Cleveland Monsters
42-23-7, 91pts
Team Stats
W1SéquenceW2
21-9-6Fiche domicile20-13-3
15-15-6Fiche domicile22-10-4
6-4-0Derniers 10 matchs5-4-1
2.29Buts par match 2.69
2.43Buts contre par match 2.40
34.42%Pourcentage en avantage numérique31.25%
70.62%Pourcentage en désavantage numérique67.69%
Meneurs d'équipe
Buts
Kent Johnson
27
Passes
Kent Johnson
42
Points
Kent Johnson
69
Ethan ProwPlus/Moins
Ethan Prow
18
Daniil TarasovVictoires
Daniil Tarasov
40
Daniil TarasovPourcentage d’arrêts
Daniil Tarasov
0.92

Statistiques d’équipe
Buts pour
194
2.69 GFG
Tirs pour
2271
31.54 Avg
Pourcentage en avantage numérique
31.3%
50 GF
Début de zone offensive
37.7%
Buts contre
173
2.40 GAA
Tirs contre
2038
28.31 Avg
Pourcentage en désavantage numérique
67.7%%
42 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralFredrik Omdal
EntraîneurPascal Vincent
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,521
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 60
Espoirs19


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jakub Voracek0XX100.0058429983787363803580645766898965217003428,250,000$
2Kent Johnson (R)0XX100.005940947966677774397975577558586782680212925,000$
3Yegor Chinakhov (R)0X100.007442908567656769347766657558586581670221925,000$
4Trey Fix-Wolansky0X100.007064827167788072507171616748486681650241750,000$
5Cole Sillinger0X100.008244908574659462786056642562626180640202925,000$
6Liam Foudy (R)0XXX100.007643978367626462336364742558586284640232762,500$
7Gabriel Dumont0XX100.007469786369626264815865656161626182610331750,000$
8Alan Quine0XX100.007973907573565656715652644858595681600301750,000$
9Cory Conacher0XXX100.007164896963535261785661655865665982600341750,000$
10Connor Zary (R)0X100.006865766168767963806360605847475982590223863,333$
11Carson Meyer0X100.008444896466557560255655652548485881590261750,000$
12Sean Malone0X100.007170796470626360785461626047475981580281750,000$
13Tyler Angle (R)0X100.006962886564798652684755585347475772560232850,833$
14Scott Harrington0X100.007744937075707160255252812567675882650301750,000$
15Gavin Bayreuther0X100.007756847373696964256046785361615976650291750,000$
16Jacob Christiansen (R)0X100.007143968375678864255348632549495780620241925,000$
17Samuel Knazko (R)0X100.007670896672616452255038603747475081570213847,500$
18Ethan Prow0X100.007366916566596054255141624047475281570311750,000$
Rayé
1Michael Milne (R)0X100.007567926567707649504548614645445520550213861,667$
2Ole Julian Bjorgvik Holm (R)0X100.007872916772565944253439613744445020540213825,000$
3Corson Ceulemans (R)0X100.007673826575474845253341614046464961540201750,000$
MOYENNE D’ÉQUIPE100.00735889717064696046575564485555587161
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
1Dylan Ferguson (R)0100.00554354736056546058573044445581560251750,000$
2Christopher Gibson0100.00474354794851505353529545455023510311750,000$
Rayé
MOYENNE D’ÉQUIPE100.0051435476545452575655634545535254
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent70707050994050CAN531500,000$


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
1Kent JohnsonCleveland Monsters (CBJ)C/LW72274269-32620841002488215710.89%35143819.9971017181200000413339.64%12646632110.96715013634
2Liam FoudyCleveland Monsters (CBJ)C/LW/RW722728557101097771836110414.75%40123417.1591019211150000305330.61%3305419110.8901110663
3Yegor ChinakhovCleveland Monsters (CBJ)RW72202848-12241010983213571139.39%34134918.748917171180000824133.85%1306429000.71513002135
4Trey Fix-WolanskyCleveland Monsters (CBJ)RW72153348-5512510681209531097.18%21115316.0261723201100000135248.12%3725716000.8315122725
5Alan QuineCleveland Monsters (CBJ)C/LW72121527336301195199275012.12%13108315.04437864000012154.05%371813000.5012222142
6Gabriel DumontCleveland Monsters (CBJ)C/RW72161026573551388517157879.36%26103114.32000042025551160.99%5053720000.5003344212
7Cory ConacherCleveland Monsters (CBJ)C/LW/RW7210152524135869514256977.04%23107314.923146320223532051.61%313621000.4702232013
8Connor ZaryCleveland Monsters (CBJ)C72815231793659365122321016.56%2495613.28000000000180251.18%2113218000.4802436105
9Gavin BayreutherCleveland Monsters (CBJ)D7202121-31416511111411350410%104178724.820772111000180000%03163000.2412337010
10Cole SillingerCleveland Monsters (CBJ)C7271320-19452512583137481105.11%29138219.19281051150002681054.69%4372822000.2906023002
11Carson MeyerCleveland Monsters (CBJ)RW721282012408558112337810.71%1380111.1400001000001226.92%262411000.5000000320
12Jacob ChristiansenCleveland Monsters (CBJ)D7231619-1413572968939353.37%59156521.75235811500009211100.00%13341000.2400001100
13Scott HarringtonCleveland Monsters (CBJ)D72514191422011910210736384.67%97176424.514266124000193210%02850000.2200121022
14Samuel KnazkoCleveland Monsters (CBJ)D7211415-10865078774327162.33%45134818.731562102011072000%0441000.2200433001
15Jakub VoracekCleveland Monsters (CBJ)LW/RW215712-5271523218425515.95%1041719.86134319000031040.00%30184000.5811111111
16Sean MaloneCleveland Monsters (CBJ)C72471116442065345514337.27%1672110.0200002000001049.28%69910000.3123121004
17Tyler AngleCleveland Monsters (CBJ)C6056117311535405712268.77%85008.3400001000000154.46%2021414000.4429111102
18Ethan ProwCleveland Monsters (CBJ)D7218918595555653616132.78%53116516.19112118000024010%0438000.1501254000
19Kirill MarchenkoColumbus Blue JacketsRW331420054152520.00%15518.5520226000001040.00%551001.4412000010
20Michael MilneCleveland Monsters (CBJ)LW112242121012372328.57%1968.7400000000011066.67%601000.8300011010
21Corson CeulemansCleveland Monsters (CBJ)D4902210614561262918100%3273114.930000100002000%0216000.0500225000
Statistiques d’équipe totales ou en moyenne12961833054883191957516781360227174712778.06%6842165916.715079129119118823512736311946.12%3656564480220.452167283849302841
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
1Daniil TarasovColumbus Blue Jackets69402270.9202.2242176415619541169330.85763690954
2Dylan FergusonCleveland Monsters (CBJ)32100.8773.33180001081541000367000
Statistiques d’équipe totales ou en moyenne72422370.9182.274397641662035122343637267954


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
Alan QuineCleveland Monsters (CBJ)C/LW301993-12-31No203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Carson MeyerCleveland Monsters (CBJ)RW261997-12-31No180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Christopher GibsonCleveland Monsters (CBJ)G311992-12-31No207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Cole SillingerCleveland Monsters (CBJ)C202003-12-31No197 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Connor ZaryCleveland Monsters (CBJ)C222001-12-31Yes178 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------Lien / Lien NHL
Corson CeulemansCleveland Monsters (CBJ)D202003-12-31Yes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Cory ConacherCleveland Monsters (CBJ)C/LW/RW341989-12-31No181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Dylan FergusonCleveland Monsters (CBJ)G251998-12-31 13:54:39Yes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ethan ProwCleveland Monsters (CBJ)D311992-12-31No182 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Gabriel DumontCleveland Monsters (CBJ)C/RW331990-12-31No195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Gavin BayreutherCleveland Monsters (CBJ)D291994-12-31No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jacob ChristiansenCleveland Monsters (CBJ)D241999-12-31Yes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Jakub Voracek (contrat à 1 volet)Cleveland Monsters (CBJ)LW/RW341989-12-31No214 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro & Farm8,250,000$7,100,000$0$No8,250,000$--------No--------Lien / Lien NHL
Kent JohnsonCleveland Monsters (CBJ)C/LW212002-12-31Yes168 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------
Liam FoudyCleveland Monsters (CBJ)C/LW/RW232000-12-31Yes174 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Michael MilneCleveland Monsters (CBJ)LW212002-12-31Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm861,667$0$0$No861,667$861,667$-------NoNo-------
Ole Julian Bjorgvik HolmCleveland Monsters (CBJ)D212002-12-31Yes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------NoNo-------Lien
Samuel KnazkoCleveland Monsters (CBJ)D212002-12-31Yes191 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm847,500$0$0$No847,500$847,500$-------NoNo-------
Scott HarringtonCleveland Monsters (CBJ)D301993-12-31No204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Sean MaloneCleveland Monsters (CBJ)C281995-12-31No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Trey Fix-WolanskyCleveland Monsters (CBJ)RW241999-12-31No185 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Tyler AngleCleveland Monsters (CBJ)C232000-12-31Yes172 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm850,833$0$0$No850,833$--------No--------Lien / Lien NHL
Yegor ChinakhovCleveland Monsters (CBJ)RW222001-12-31Yes178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.78189 Lbs6 ft01.571,128,732$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VoracekKent JohnsonYegor Chinakhov30122
2Liam FoudyCole SillingerTrey Fix-Wolansky27122
3Alan QuineGabriel DumontCory Conacher23122
4Jakub VoracekConnor ZaryCarson Meyer20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonGavin Bayreuther30122
2Jacob ChristiansenSamuel Knazko27122
3Ethan ProwConnor Zary23122
4Scott HarringtonGavin Bayreuther20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VoracekKent JohnsonYegor Chinakhov50122
2Liam FoudyCole SillingerTrey Fix-Wolansky50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonGavin Bayreuther50122
2Jacob ChristiansenSamuel Knazko50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub VoracekKent Johnson50122
2Yegor ChinakhovCole Sillinger50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonGavin Bayreuther50122
2Jacob ChristiansenSamuel Knazko50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakub Voracek50122Scott HarringtonGavin Bayreuther50122
2Kent Johnson50122Jacob ChristiansenSamuel Knazko50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakub VoracekKent Johnson50122
2Yegor ChinakhovCole Sillinger50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonGavin Bayreuther50122
2Jacob ChristiansenSamuel Knazko50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VoracekKent JohnsonYegor ChinakhovScott HarringtonGavin Bayreuther
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VoracekKent JohnsonYegor ChinakhovScott HarringtonGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Malone, Tyler Angle, Gabriel DumontSean Malone, Tyler AngleGabriel Dumont
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Prow, Jacob Christiansen, Samuel KnazkoEthan ProwJacob Christiansen, Samuel Knazko
Tirs de pénalité
Jakub Voracek, Kent Johnson, Yegor Chinakhov, Cole Sillinger, Liam Foudy
Gardien
#1 : Dylan Ferguson, #2 : Christopher Gibson


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 Canucks311010009902110000045-11000100054140.66791322003773702410963783477988913335704250.00%5260.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
2Bakersfield Condors22000000505110000003031100000020241.00057120237737024786378347798838197607228.57%10100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
3Belleville Senators40400000514-92020000036-32020000028-600.0005813003773702412663783477988115417198700.00%8362.50%0651136247.80%584127845.70%45197146.45%155484214056871442720
4Bridgeport Islanders22000000945110000004131100000053241.0009172600377370245663783477988411511554250.00%3233.33%0651136247.80%584127845.70%45197146.45%155484214056871442720
5Calgary Wranglers2010001067-11010000024-21000001043120.5006915103773702473637834779886223647200.00%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
6Charlotte Checkers22000000633110000004221100000021141.0006121800377370245763783477988412111437342.86%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
7Chicago Wolves210000101055110000005141000001054141.00010142400377370248163783477988571912515240.00%6266.67%1651136247.80%584127845.70%45197146.45%155484214056871442720
8Coachella Valley Firebirds21000010633110000004221000001021141.00067130037737024536378347798843846514125.00%30100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
9Colorado Eagles21000100330110000002111000010012-130.7503470037737024446378347798841141434400.00%20100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
10Grand Rapids Griffins2010000125-31000000123-11010000002-210.2502460037737024496378347798834151743400.00%110.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
11Hartford Wolf Pack22000000927110000005141100000041341.0009152400377370247263783477988441684622100.00%4175.00%1651136247.80%584127845.70%45197146.45%155484214056871442720
12Henderson Silver Knights2020000027-51010000014-31010000013-200.000246103773702447637834779887224436200.00%2150.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
13Hershey Bears30200001410-62020000027-51000000123-110.167471100377370248163783477988974554575120.00%12466.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
14Iowa Wild2020000068-21010000034-11010000034-100.0006121800377370244963783477988672225286350.00%5340.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
15Laval Rocket311000101293211000008621000001043140.6671219310037737024108637834779889732607411654.55%10370.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
16Lehigh Valley Phantoms2010001068-2100000104311010000025-320.5006101600377370245963783477988652815417342.86%000%0651136247.80%584127845.70%45197146.45%155484214056871442720
17Manitoba Moose21100000431110000004221010000001-120.50044800377370244863783477988692621314250.00%30100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
18Milwaukee Admirals2010000158-31000000145-11010000013-210.250591400377370245363783477988752253455240.00%4175.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
19Ontario Reign21000010743110000003121000001043141.0007916003773702470637834779885514652200.00%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
20Providence Bruins211000003301010000023-11100000010120.5003580137737024626378347798858105155200.00%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
21Rochester Americans42000110141041100000042231000110108270.87514203400377370241346378347798814044839112433.33%9366.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
22Rockford IceHogs21000010743110000003121000001043141.0007111800377370247663783477988501826445120.00%30100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
23San Diego Gulls20000011550100000104311000000112-130.75056110037737024636378347798859243145300.00%3233.33%0651136247.80%584127845.70%45197146.45%155484214056871442720
24San Jose Barracuda21100000541110000004131010000013-220.500591400377370246863783477988761816487342.86%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
25Springfield Thunderbirds211000004401010000023-11100000021120.50047110037737024636378347798859143641300.00%3166.67%0651136247.80%584127845.70%45197146.45%155484214056871442720
26Syracuse Crunch32001000853220000005321000100032161.00081422003773702410563783477988732142748337.50%60100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
27Texas Stars22000000936110000004041100000053241.0009152401377370246463783477988531654615240.00%20100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
28Toronto Marlies31101000651100010002112110000044040.66761016103773702410063783477988843239593133.33%7185.71%0651136247.80%584127845.70%45197146.45%155484214056871442720
29Tucson Roadrunners210001004401000010012-11100000032130.750461000377370246363783477988692016482150.00%30100.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
30Utica Comets3110001089-11010000014-32100001075240.66781119003773702497637834779886917409215426.67%5420.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
31Wilkes-Barre Scranton Penguins201000105501010000023-11000001032120.50057120037737024636378347798844131558300.00%5340.00%0651136247.80%584127845.70%45197146.45%155484214056871442720
Total722823033114194173213617130112210184173611100229293894910.6321943054993437737024227163783477988203868492516781605031.25%1304267.69%2651136247.80%584127845.70%45197146.45%155484214056871442720
_Since Last GM Reset722823033114194173213617130112210184173611100229293894910.6321943054993437737024227163783477988203868492516781605031.25%1304267.69%2651136247.80%584127845.70%45197146.45%155484214056871442720
_Vs Conference40161403151108100820810010105250220840214156506500.62510817528311377370241292637834779881118382571954933133.33%832965.06%1651136247.80%584127845.70%45197146.45%155484214056871442720
_Vs Division1688031305143885501000232038330213028235290.9065181132003773702450963783477988417153155400411434.15%351654.29%2651136247.80%584127845.70%45197146.45%155484214056871442720

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7291W219430549922712038684925167834
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72282333114194173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361713112210184
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36111022929389
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1605031.25%1304267.69%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
6378347798837737024
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
651136247.80%584127845.70%45197146.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155484214056871442720


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
18Cleveland Monsters4Rochester Americans2WSommaire du match
324Cleveland Monsters1Belleville Senators3LSommaire du match
428Abbotsford Canucks2Cleveland Monsters3WSommaire du match
646Cleveland Monsters3Utica Comets2WSommaire du match
862Belleville Senators3Cleveland Monsters1LSommaire du match
973Cleveland Monsters3Rochester Americans4LXSommaire du match
1293Syracuse Crunch1Cleveland Monsters2WSommaire du match
13101Cleveland Monsters1Toronto Marlies3LSommaire du match
16125Laval Rocket2Cleveland Monsters5WSommaire du match
19149Cleveland Monsters4Hartford Wolf Pack1WSommaire du match
20157Hershey Bears2Cleveland Monsters1LSommaire du match
24182Calgary Wranglers4Cleveland Monsters2LSommaire du match
25195Cleveland Monsters4Utica Comets3WXXSommaire du match
28216Utica Comets4Cleveland Monsters1LSommaire du match
30227Cleveland Monsters4Ontario Reign3WXXSommaire du match
32247Providence Bruins3Cleveland Monsters2LSommaire du match
34263Tucson Roadrunners2Cleveland Monsters1LXSommaire du match
36282Cleveland Monsters5Abbotsford Canucks4WXSommaire du match
38295Rockford IceHogs1Cleveland Monsters3WSommaire du match
40311Cleveland Monsters2Springfield Thunderbirds1WSommaire du match
42327Cleveland Monsters4Laval Rocket3WXXSommaire du match
43337Chicago Wolves1Cleveland Monsters5WSommaire du match
45355Cleveland Monsters3Wilkes-Barre Scranton Penguins2WXXSommaire du match
47369Cleveland Monsters3Iowa Wild4LSommaire du match
48381Hartford Wolf Pack1Cleveland Monsters5WSommaire du match
50396Cleveland Monsters2Bakersfield Condors0WSommaire du match
52410Belleville Senators3Cleveland Monsters2LSommaire du match
53425Cleveland Monsters3Rochester Americans2WXXSommaire du match
56442Milwaukee Admirals5Cleveland Monsters4LXXSommaire du match
58459Cleveland Monsters3Syracuse Crunch2WXSommaire du match
60474Lehigh Valley Phantoms3Cleveland Monsters4WXXSommaire du match
62489Cleveland Monsters1Belleville Senators5LSommaire du match
64506Charlotte Checkers2Cleveland Monsters4WSommaire du match
66518Cleveland Monsters2Coachella Valley Firebirds1WXXSommaire du match
69539Abbotsford Canucks3Cleveland Monsters1LSommaire du match
71560Syracuse Crunch2Cleveland Monsters3WSommaire du match
73577Cleveland Monsters5Chicago Wolves4WXXSommaire du match
76594Wilkes-Barre Scranton Penguins3Cleveland Monsters2LSommaire du match
78612Cleveland Monsters5Texas Stars3WSommaire du match
79628Texas Stars0Cleveland Monsters4WSommaire du match
82650Cleveland Monsters3Toronto Marlies1WSommaire du match
83663Bridgeport Islanders1Cleveland Monsters4WSommaire du match
85684Cleveland Monsters1Colorado Eagles2LXSommaire du match
87698Colorado Eagles1Cleveland Monsters2WSommaire du match
89716Cleveland Monsters0Manitoba Moose1LSommaire du match
90725Hershey Bears5Cleveland Monsters1LSommaire du match
93749San Jose Barracuda1Cleveland Monsters4WSommaire du match
94761Cleveland Monsters1San Jose Barracuda3LSommaire du match
97780Cleveland Monsters4Rockford IceHogs3WXXSommaire du match
98793San Diego Gulls3Cleveland Monsters4WXXSommaire du match
100808Bakersfield Condors0Cleveland Monsters3WSommaire du match
101817Cleveland Monsters2Hershey Bears3LXXSommaire du match
104840Iowa Wild4Cleveland Monsters3LSommaire du match
106856Cleveland Monsters2Charlotte Checkers1WSommaire du match
107868Cleveland Monsters1San Diego Gulls2LXXSommaire du match
109881Cleveland Monsters1Milwaukee Admirals3LSommaire du match
110893Ontario Reign1Cleveland Monsters3WSommaire du match
113915Henderson Silver Knights4Cleveland Monsters1LSommaire du match
116940Laval Rocket4Cleveland Monsters3LSommaire du match
118955Cleveland Monsters3Tucson Roadrunners2WSommaire du match
120970Cleveland Monsters4Calgary Wranglers3WXXSommaire du match
121979Toronto Marlies1Cleveland Monsters2WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1241003Manitoba Moose2Cleveland Monsters4WSommaire du match
1251016Cleveland Monsters1Providence Bruins0WSommaire du match
1271035Rochester Americans2Cleveland Monsters4WSommaire du match
1291048Cleveland Monsters1Henderson Silver Knights3LSommaire du match
1301061Cleveland Monsters0Grand Rapids Griffins2LSommaire du match
1331078Grand Rapids Griffins3Cleveland Monsters2LXXSommaire du match
1361103Springfield Thunderbirds3Cleveland Monsters2LSommaire du match
1381115Cleveland Monsters2Lehigh Valley Phantoms5LSommaire du match
1401130Cleveland Monsters5Bridgeport Islanders3WSommaire du match
1421147Coachella Valley Firebirds2Cleveland Monsters4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance56,23434,521
Assistance PCT78.10%95.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2521 - 84.03% 97,281$3,502,120$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,012,022$ 10,021,083$ 10,021,083$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 4,512,061$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 72,559$ 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