Connexion

Cleveland Monsters
GP: 12 | W: 7 | L: 5
GF: 36 | GA: 34 | PP%: 17.02% | PK%: 80.43%
DG: Mike Chontos | Morale : 48 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
San Diego Spartans
12-5-0, 24pts
3
FINAL
6 Cleveland Monsters
7-5-0, 14pts
Team Stats
W2SéquenceOTL1
8-1-0Fiche domicile5-0-0
4-4-0Fiche domicile2-5-0
6-4-0Derniers 10 matchs6-3-1
4.00Buts par match 3.00
2.71Buts contre par match 2.83
23.68%Pourcentage en avantage numérique17.02%
85.33%Pourcentage en désavantage numérique80.43%
Cleveland Monsters
7-5-0, 14pts
3
FINAL
4 San Diego Spartans
12-5-0, 24pts
Team Stats
OTL1SéquenceW2
5-0-0Fiche domicile8-1-0
2-5-0Fiche domicile4-4-0
6-3-1Derniers 10 matchs6-4-0
3.00Buts par match 4.00
2.83Buts contre par match 2.71
17.02%Pourcentage en avantage numérique23.68%
80.43%Pourcentage en désavantage numérique85.33%
Meneurs d'équipe
Jason ZuckerButs
Jason Zucker
8
Jason ZuckerPasses
Jason Zucker
9
Jason ZuckerPoints
Jason Zucker
17
Jason ZuckerPlus/Moins
Jason Zucker
6
Ilya SamsonovVictoires
Ilya Samsonov
5
Martin JonesPourcentage d’arrêts
Martin Jones
0.909

Statistiques d’équipe
Buts pour
36
3.00 GFG
Tirs pour
344
28.67 Avg
Pourcentage en avantage numérique
17.0%
8 GF
Début de zone offensive
35.9%
Buts contre
34
2.83 GAA
Tirs contre
357
29.75 Avg
Pourcentage en désavantage numérique
80.4%%
9 GA
Début de la zone défensive
40.8%
Informations de l'équipe

Directeur généralMike Chontos
EntraîneurMike Rupp
DivisionAdams
ConférenceWest
CapitaineKaapo Kakko
Assistant #1Shane Wright
Assistant #2David Jiricek


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro40
Équipe Mineure18
Limite contact 58 / 250
Espoirs3


Historique d'équipe

Saison actuelle7-5
Historique0-0-0


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
1Jason Zucker0X100.007954728075858984507579698087771287403124750,000$
2Kaapo Kakko (R) (C)0X100.006543927986858181407574727864541737202224750,000$
3Matty Beniers0X100.006943898678867381627675718156501197102124750,000$
4Gabriel Vilardi (R)0X100.006647847689857880717276707764541737102424750,000$
5Morgan Geekie (R)0X100.007557817584818177767668737464541807102524750,000$
6Kent Johnson0X100.006444847972787478537472647656501166802124750,000$
7Cole Perfetti (R)0XX100.006547817877846976477366677356501696802124750,000$
8Oliver Wahlstrom0X100.007360637586837576507069677364541416802324750,000$
9Drew O'Connor (R)0X100.007347847384797371506564676959521746602524750,000$
10Paul Cotter (R)0XX100.0079588073827772724864696671565015066024241$
11Juuso Parssinen (R)0XX100.007251787181786871697265676952501526602224750,000$
12Jansen Harkins0X100.006947827481807570456364666964541636602610$
13Oliver Ekman-Larsson0X100.006747757480918978407764747288841307303224750,000$
14Ville Heinola (R)0X100.006444637161616064406454696350501466102224750,000$
15David Jiricek (R) (A)0X100.006040666864575764406457666350501476002024750,000$
16Kaedan Korczak (R)0X100.006152626765626161405653616050501675902210$
17Olen Zellweger (R)0X100.0050505050505050505050505050505050344902024750,000$
Rayé
1Filip Hallander (R)0X100.0050359582626770575045506855556599485902324750,000$
2Matej Blumel (R)0XX100.006240716864626264426260616451501285902324750,000$
3Nicholas Abruzzese (R)0X100.0050358985526770555545545555556199195702424750,000$
4William Eklund (R)0XX100.005644646759575763426259546350501205702124750,000$
5Fabian Lysell (R)0X100.005640636759575762426258546250501195702024750,000$
6Isak Rosen (R)0XXX100.005640716856575763426258546350501195702024750,000$
7Jonathan Gruden (R)0X100.005561627059646362536058536351501235702324750,000$
8Martin Pospisil (R)0XX100.006055636861605859405553576051501255602410$
9Samuel Poulin (R)0X100.0057357577647069494945525448604899205502224750,000$
10Ville Koivunen (R)0XXX100.005640686657545356475354545950501205402024750,000$
11Tye Kartye (R)0X100.00555555555555555555555555555555552053022101$
12Shane Wright (R) (A)0X100.0050505050505050505050505050505050204901924750,000$
13Isaac Howard (R)0X100.0050505050505050505050505050505050204901924750,000$
14Jani Nyman (R)0X100.0050505050505050505050505050505050204901924750,000$
15Jordan Dumais (R)0X100.0050505050505050505050505050505050204901924750,000$
16Niko Huuhtanen (R)0X100.0050505050505050505050505050505050204902024750,000$
17Marcus Pettersson0X100.00765868787688847740776281737464177302724750,000$
18Nick Perbix (R)0X100.007048737276786972406863716953501226602524750,000$
19Ryan Ufko (R)0X100.0050505050505050505050505050505050204902024750,000$
20Topias Vilen (R)0X100.005050505050505050505050505050501204902024750,000$
MOYENNE D’ÉQUIPE100.00614869686667656449616061635653203560
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
1Ilya Samsonov0100.00878688899190879089888364571218302624750,000$
2Logan Thompson0100.00848181878686858686848159521808002624750,000$
Rayé
1Matt Villalta (R)0100.007575758187746868676947737099627202424750,000$
MOYENNE D’ÉQUIPE100.0082818186888380818180706560345478
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Rupp80808080808080USA4491,000,000$


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
1Jason ZuckerCleveland Monsters (SJ )LW1289176115272354224014.81%931326.0931410430001392244.44%81207001.0900001222
2Matty BeniersCleveland Monsters (SJ )C9581335581132112215.63%215517.2622411370000140045.10%25539001.6700001110
3Kaapo KakkoCleveland Monsters (SJ )RW127613600142252172313.46%730225.210335440002401238.46%2685110.8600000221
4Oliver Ekman-LarssonCleveland Monsters (SJ )D12257480172528377.14%1734528.76123647000039000%0610000.4100000000
5Gabriel VilardiCleveland Monsters (SJ )C1243715512192013920.00%716213.56000050000141051.22%8212000.8600001100
6Marcus PetterssonCleveland Monsters (SJ )D80552195101111320%718423.06011428000012000%065000.5400010000
7Drew O'ConnorCleveland Monsters (SJ )LW12235-30011201641112.50%615012.56000000000110114.29%721000.6600000011
8Cole PerfettiCleveland Monsters (SJ )C/LW1232507516132591412.00%221818.20022229000030033.33%945000.4600001110
9Oliver WahlstromCleveland Monsters (SJ )RW12055022103215198100%521618.05011129000000050.00%686000.4600101001
10Morgan GeekieCleveland Monsters (SJ )C122354752026276117.41%223519.661017300000171057.22%18061000.4200001001
11Ville HeinolaCleveland Monsters (SJ )D12033117514238450%1426722.31022131000027000%039000.2200010000
12David JiricekCleveland Monsters (SJ )D12213-2175916175711.76%1724420.33101328000022200%027000.2500010001
13Kaedan KorczakCleveland Monsters (SJ )D12022110014134430%920116.76000011000126000%025000.2000000000
14Paul CotterCleveland Monsters (SJ )C/LW12022-2001267410%1937.7900000000000054.55%1110000.4300000000
15Kent JohnsonCleveland Monsters (SJ )C9101-400121094511.11%1778.6000000000000039.47%3801000.2600000000
16Nick PerbixCleveland Monsters (SJ )D4011040040100%44010.210000700000000%010000.4900000000
17Christian KyrouSan Jose SharksD3000120121000%03712.630000100000000%00100000000000
18Juuso ParssinenCleveland Monsters (SJ )C/LW12000140723380%2534.4800001000000060.00%150100000000000
19Matej BlumelCleveland Monsters (SJ )LW/RW4000000000000%000.040000000000000%00000000000000
20Matthew PhillipsSan Jose SharksC/RW3000-100203240%24113.74000000000000100.00%13000000000000
21Jansen HarkinsCleveland Monsters (SJ )C12000-300213020%1564.7400006000000060.00%100200000000000
22Thomas BordeleauSan Jose SharksC3000000310000%082.830000100000000%00000000000000
23Olen ZellwegerCleveland Monsters (SJ )D9000014102115000%612013.4400000000015000%00300000002000
Statistiques d’équipe totales ou en moyenne220365894151526024527434412318410.47%121352816.04814225038600042857548.54%7217680110.5300138777
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
1Ilya SamsonovCleveland Monsters (SJ )95310.9053.075080026275124200090010
2Martin JonesSan Jose Sharks32100.9092.001800066633000030000
3Logan ThompsonCleveland Monsters (SJ )10000.8753.64330021650000012000
Statistiques d’équipe totales ou en moyenne137410.9052.8372100343571622001212010


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 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
Cole PerfettiCleveland Monsters (SJ )C/LW211/1/2002Yes184 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
David JiricekCleveland Monsters (SJ )D2011/28/2003 3:30:15 AMYes190 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Drew O'ConnorCleveland Monsters (SJ )LW256/9/1998Yes200 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Fabian LysellCleveland Monsters (SJ )RW201/19/2003 3:31:16 AMYes172 Lbs5 ft10NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Filip HallanderCleveland Monsters (SJ )C236/29/2000Yes190 Lbs6 ft1NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien
Gabriel VilardiCleveland Monsters (SJ )C248/16/1999Yes215 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Ilya SamsonovCleveland Monsters (SJ )G262/22/1997No214 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Isaac HowardCleveland Monsters (SJ )LW193/30/2004 2:46:48 AMYes181 Lbs5 ft10NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Isak RosenCleveland Monsters (SJ )C/LW/RW203/15/2003 2:47:44 AMYes157 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Jani NymanCleveland Monsters (SJ )RW197/30/2004 2:49:37 AMYes216 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Jansen HarkinsCleveland Monsters (SJ )C265/23/1997No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm0$0$No------------------
Jason ZuckerCleveland Monsters (SJ )LW311/16/1992No192 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Jonathan GrudenCleveland Monsters (SJ )LW235/4/2000 11:02:23 AMYes172 Lbs6 ft0NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Jordan DumaisCleveland Monsters (SJ )RW194/15/2004 2:50:19 AMYes174 Lbs5 ft9NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Juuso ParssinenCleveland Monsters (SJ )C/LW222/1/2001 2:51:11 AMYes212 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Kaapo KakkoCleveland Monsters (SJ )RW222/13/2001Yes206 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Kaedan KorczakCleveland Monsters (SJ )D221/29/2001Yes192 Lbs6 ft3NoNoN/ANoNo1Pro & Farm0$0$No------------------
Kent JohnsonCleveland Monsters (SJ )C2110/18/2002No175 Lbs6 ft0NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Logan ThompsonCleveland Monsters (SJ )G262/25/1997No205 Lbs6 ft4NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Marcus PetterssonCleveland Monsters (SJ )D275/8/1996No177 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Martin PospisilCleveland Monsters (SJ )C/RW2411/19/1999Yes172 Lbs6 ft2NoNoN/ANoNo1Pro & Farm0$0$No------------------
Matej BlumelCleveland Monsters (SJ )LW/RW235/31/2000 2:52:54 AMYes198 Lbs6 ft0NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Matt VillaltaCleveland Monsters (SJ )G246/3/1999Yes190 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien
Matty BeniersCleveland Monsters (SJ )C2111/5/2002No178 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Morgan GeekieCleveland Monsters (SJ )C257/20/1998Yes200 Lbs6 ft3NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Nicholas AbruzzeseCleveland Monsters (SJ )C246/4/1999Yes174 Lbs5 ft10NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Nick PerbixCleveland Monsters (SJ )D256/15/1998Yes191 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Niko HuuhtanenCleveland Monsters (SJ )RW206/26/2003 3:21:57 AMYes209 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Olen ZellwegerCleveland Monsters (SJ )D209/10/2003 3:22:30 AMYes174 Lbs5 ft10NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Oliver Ekman-LarssonCleveland Monsters (SJ )D327/17/1991No200 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Oliver WahlstromCleveland Monsters (SJ )RW236/13/2000No204 Lbs6 ft2NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Paul CotterCleveland Monsters (SJ )C/LW2411/16/1999Yes212 Lbs6 ft2NoNoN/ANoNo24Pro & Farm1$0$0$No1$1$1$1$1$1$1$1$1$NoNoNoNoNoNoNoNoNoLien NHL
Ryan UfkoCleveland Monsters (SJ )D205/7/2003 3:23:39 AMYes170 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Samuel PoulinCleveland Monsters (SJ )RW222/25/2001Yes208 Lbs6 ft1NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien
Shane WrightCleveland Monsters (SJ )C191/5/2004 3:28:48 AMYes198 Lbs6 ft0NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Topias VilenCleveland Monsters (SJ )D204/1/2003 3:25:15 AMYes194 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Tye KartyeCleveland Monsters (SJ )C224/30/2001 2:19:51 PMYes198 Lbs6 ft1NoNoN/ANoNo10Pro & Farm1$0$0$No1$1$1$1$1$1$1$1$1$NoNoNoNoNoNoNoNoNo
Ville HeinolaCleveland Monsters (SJ )D222/3/2001Yes179 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
Ville KoivunenCleveland Monsters (SJ )C/LW/RW206/13/2003 3:26:03 AMYes161 Lbs5 ft11NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNo
William EklundCleveland Monsters (SJ )C/LW2110/12/2002Yes176 Lbs5 ft10NoNoN/ANoNo24Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NoNoNoNoNoNoNoNoNoLien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4022.68190 Lbs6 ft121.93656,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason ZuckerMatty BeniersKaapo Kakko40122
2Cole PerfettiMorgan GeekieOliver Wahlstrom30122
3Drew O'ConnorGabriel VilardiJason Zucker20122
4Paul CotterKent JohnsonKaapo Kakko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver Ekman-Larsson40122
2Ville HeinolaDavid Jiricek30122
3Kaedan KorczakOlen Zellweger20122
4Oliver Ekman-Larsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason ZuckerMatty BeniersKaapo Kakko60122
2Cole PerfettiMorgan GeekieOliver Wahlstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver Ekman-Larsson60122
2Ville HeinolaDavid Jiricek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jason ZuckerKaapo Kakko60122
2Matty BeniersMorgan Geekie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver Ekman-Larsson60122
2Ville HeinolaDavid Jiricek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jason Zucker60122Oliver Ekman-Larsson60122
2Kaapo Kakko40122Ville HeinolaDavid Jiricek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jason ZuckerKaapo Kakko60122
2Matty BeniersMorgan Geekie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver Ekman-Larsson60122
2Ville HeinolaDavid Jiricek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason ZuckerMatty BeniersKaapo KakkoOliver Ekman-Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason ZuckerMatty BeniersKaapo KakkoOliver Ekman-Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jansen Harkins, Juuso Parssinen, Gabriel VilardiJansen Harkins, Juuso ParssinenGabriel Vilardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, Olen Zellweger, Ville HeinolaKaedan KorczakOlen Zellweger, Ville Heinola
Tirs de pénalité
Jason Zucker, Kaapo Kakko, Matty Beniers, Morgan Geekie, Gabriel Vilardi
Gardien
#1 : Ilya Samsonov, #2 : Logan Thompson
Lignes d’attaque personnalisées en prolongation
Jason Zucker, Kaapo Kakko, Matty Beniers, Morgan Geekie, Gabriel Vilardi, Oliver Wahlstrom, Oliver Wahlstrom, Kent Johnson, Cole Perfetti, Drew O'Connor, Paul Cotter
Lignes de défense personnalisées en prolongation
Oliver Ekman-Larsson, , Ville Heinola, David Jiricek, Kaedan Korczak


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
1Rogle BK541000001495220000005323210000096380.8001422360051317115181129129510542471011218.33%16287.50%012925949.81%13529445.92%8616851.19%238123252117230116
2San Diego Spartans734000002225-333000000137640400000918-960.429223658005131711938112912952527910514435720.00%30776.67%012925949.81%13529445.92%8616851.19%238123252117230116
Total127500000363425500000018108725000001824-6140.5833658940051317134481129129535712115224547817.02%46980.43%012925949.81%13529445.92%8616851.19%238123252117230116
_Since Last GM Reset127500000363425500000018108725000001824-6140.5833658940051317134481129129535712115224547817.02%46980.43%012925949.81%13529445.92%8616851.19%238123252117230116
_Vs Conference127500000363425500000018108725000001824-6140.5833658940051317134481129129535712115224547817.02%46980.43%012925949.81%13529445.92%8616851.19%238123252117230116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214OTL136589434435712115224500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500003634
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
55000001810
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72500001824
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
47817.02%46980.43%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
811291295513171
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
12925949.81%13529445.92%8616851.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
238123252117230116


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
14Cleveland Monsters1Rogle BK3ALSommaire du match
28Cleveland Monsters6Rogle BK2AWSommaire du match
312Rogle BK1Cleveland Monsters2BWSommaire du match
416Rogle BK2Cleveland Monsters3BWSommaire du match
520Cleveland Monsters2Rogle BK1AWXSommaire du match
830Cleveland Monsters2San Diego Spartans5ALSommaire du match
932Cleveland Monsters2San Diego Spartans3ALSommaire du match
1034San Diego Spartans2Cleveland Monsters3BWSommaire du match
1136San Diego Spartans2Cleveland Monsters4BWSommaire du match
1238Cleveland Monsters2San Diego Spartans6ALSommaire du match
1340San Diego Spartans3Cleveland Monsters6BWSommaire du match
1442Cleveland Monsters3San Diego Spartans4ALXSommaire du match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,625,000$ 5,286,352$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Cleveland Monsters Leaders statistiques des joueurs (saison régulière)

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

Cleveland Monsters Leaders des statistiques des gardiens (saison régulière)

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

Cleveland Monsters Statistiques de l'Équipe de Carrière

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

Cleveland Monsters Leaders statistiques des joueurs (séries éliminatoires)

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

Cleveland Monsters Leaders des statistiques des gardiens (séries éliminatoires)

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