Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Please rotate your device to landscape mode for a better experience.
Connexion

Monsters
GP: 82 | W: 54 | L: 24 | OTL: 4 | P: 112
GF: 348 | GA: 197 | PP%: 17.18% | PK%: 83.90%
DG: Tyler Bell | Morale : 50 | Moyenne d’équipe : 59

Centre de jeu
Wild
66-11-5, 137pts
4
FINAL
2 Monsters
54-24-4, 112pts
Team Stats
L2SéquenceW1
32-7-2Fiche domicile27-13-1
34-4-3Fiche domicile27-11-3
6-4-0Derniers 10 matchs7-3-0
4.62Buts par match 4.24
1.70Buts contre par match 2.40
20.10%Pourcentage en avantage numérique17.18%
88.45%Pourcentage en désavantage numérique83.90%
Wild
66-11-5, 137pts
2
FINAL
3 Monsters
54-24-4, 112pts
Team Stats
L2SéquenceW1
32-7-2Fiche domicile27-13-1
34-4-3Fiche domicile27-11-3
6-4-0Derniers 10 matchs7-3-0
4.62Buts par match 4.24
1.70Buts contre par match 2.40
20.10%Pourcentage en avantage numérique17.18%
88.45%Pourcentage en désavantage numérique83.90%
Meneurs d'équipe
Buts
Aidan McDonough
43
Passes
Lukas Reichel
59
Points
Arttu Hyry
92
Plus/Moins
Samuel Johannesson
77
Victoires
Dylan Garand
36
Pourcentage d’arrêts
Jacob Ingham
0.879

Statistiques d’équipe
Buts pour
348
4.24 GFG
Tirs pour
2437
29.72 Avg
Pourcentage en avantage numérique
17.2%
72 GF
Début de zone offensive
43.1%
Buts contre
197
2.40 GAA
Tirs contre
1428
17.41 Avg
Pourcentage en désavantage numérique
83.9%%
71 GA
Début de la zone défensive
34.4%
Informations de l'équipe

Directeur généralTyler Bell
EntraîneurMarco Sturm
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,858
Billets de saison1,200


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 51
Espoirs48


Historique d'équipe

Saison actuelle54-24-4 (112PTS)
Historique54-24-6 (0.643%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5 - 6 (0.455%)
Coupe Stanley0


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
1Arttu Hyry (R)XX100.008379937279828764505965696244446850650251870,000$
2Marat Khusnutdinov (R)X100.006942917564629263645958752555556550640232925,000$
3Lukas ReichelXX100.0061419482646187675965606425616165506402311,000,000$
4Valtteri PuustinenXX100.007142908265557767255868642552526850630261775,000$
5Jared DavidsonXX100.007167796667798462785465626244446450620232775,000$
6John Farinacci (R)X100.007870976470727561766256655344446350610252925,000$
7Danila KlimovichX100.007575746575768060505065646244446450610233900,000$
8Nikita Prishchepov (R)X100.007371787071727658735457625444446150600223806,667$
9Aidan McDonoughX100.007575746475484367505972656844446650600262925,000$
10Eduard Sale (R)X100.007365916565656855505650614844445850570213918,333$
11Keaton MiddletonX100.008279806892577561254447762548485950650284850,000$
12Kirill Kudryavtsev (R)X100.007772896772758251254741623944445550610223825,000$
13Cole McWardX100.007771916771768351254642624044445650610241925,000$
14Samuel JohannessonX100.007566966666778353255041623944445650600253870,000$
15Jeremy HanzelX100.007774858074535641252839603744445050570233852,000$
Rayé
1John LeonardX100.00756990716983876650597065674444705065N02731,000,000$
2Dans Locmelis (R)X100.005540998065285060255055652544445850560223775,000$
3Lukas SvejkovskyXXX100.006860858060363252503861585844445750540241859,167$
4Blake Biondi (R)X100.008072998072353344553844624244445250520233775,000$
5Marshall Warren (R)X100.007268806468495050254341603944445150550243825,000$
6Ethan Edwards (R)X100.007171726171505051254939593744445150550233925,000$
7Graham SwardX100.008274998074333141252839623744445050550223775,000$
8Connor Kelley (R)X100.008173998073323041252839623744445050540233775,000$
MOYENNE D’ÉQUIPE100.00746688727159665643495364444646595059
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
1Jacob Ingham100.00444050864589454990814544446050610252950,000$
2Dylan Garand100.00585265666162536161593044445850580231925,000$
Rayé
MOYENNE D’ÉQUIPE100.0051465876537649557670384444595060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marco Sturm71726973696581DEU452750,000$


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
1Arttu HyryMonsters (CLB)LW/RW7935579251137252051822646321613.26%19190024.065192447310123113625255.47%79500010.9704032656
2Marat KhusnutdinovMonsters (CLB)C7942509231240581702705518015.56%13160620.331517326430110192535260.86%144100001.1514000484
3Lukas ReichelMonsters (CLB)C/LW7929598845100201512075113914.01%11160920.376142036300123113025161.47%144300001.0924000641
4Aidan McDonoughMonsters (CLB)LW82434285677610103872547916416.93%14115914.1402252010121215151.26%11900011.4711002657
5Valtteri PuustinenMonsters (CLB)LW/RW7931437432400741092297216113.54%8141617.934182249306101142083045.24%8400001.0422000625
6John FarinacciMonsters (CLB)C822350735758081125142439016.20%13121914.873257360110642167.08%72300011.2000000263
7Jared DavidsonMonsters (CLB)C/LW8230427249580113932496517112.05%8137116.7231013342300000486070.47%38600001.0501000654
8Danila KlimovichMonsters (CLB)RW79283967637115110921985515414.14%13122015.451459640003745050.96%20800011.1011111555
9Keaton MiddletonMonsters (CLB)D7918355330891514256104355317.31%68171921.7611920572870001293210%000000.6200210442
10Cole McWardMonsters (CLB)D8293847485001274261193714.75%61185322.615914373210111334200%000000.5100000412
11Samuel JohannessonMonsters (CLB)D797394677560995451202913.73%60179422.713692631311233310033.33%300000.5100000023
12Kirill KudryavtsevMonsters (CLB)D7972734579351144054175112.96%51178022.545813283080002320000%000000.3800100015
13Nikita PrishchepovMonsters (CLB)C794232734675110585012448.00%2393611.860113220001220064.10%23400000.5800000021
14Jeremy HanzelMonsters (CLB)D7941317528551311830142513.33%36124315.742028700110121010%000000.2700100001
15Eduard SaleMonsters (CLB)LW79412161520025274714298.51%23804.8200002000011055.00%2000000.8400000002
Statistiques d’équipe totales ou en moyenne119731456988370893480151213042210614154314.21%4002121217.72631191824102897681458286041961.02%545600040.83717555495051
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
1Dylan GarandMonsters (CLB)58361810.8572.543146061339290300.42975626211
2Jacob InghamMonsters (CLB)3518630.8791.94176204574730000.500102653100
Statistiques d’équipe totales ou en moyenne93542440.8642.3249090101901402030178279311


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aidan McDonoughMonsters (CLB)LW261999-11-06USANo201 Lbs6 ft2NoNoAssign ManuallyNoYes22024-06-30FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Arttu HyryMonsters (CLB)LW/RW252001-04-06FINYes214 Lbs6 ft3NoNoFree AgentNoYes12025-08-07FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Blake BiondiMonsters (CLB)C232002-04-24USAYes198 Lbs6 ft1NoNoDraftNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Cole McWardMonsters (CLB)D242001-06-09USANo192 Lbs6 ft1NoNoFree AgentNoNo12024-08-04FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Connor KelleyMonsters (CLB)D232002-07-30USAYes195 Lbs6 ft2NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Danila KlimovichMonsters (CLB)RW232003-01-09BLRNo202 Lbs6 ft2NoNoFree AgentNoNo32025-08-15FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Dans LocmelisMonsters (CLB)C222004-01-21LATYes177 Lbs6 ft0NoNoProspectNoNo32025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Dylan GarandMonsters (CLB)G232002-06-07CANNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Eduard SaleMonsters (CLB)LW212005-03-10CZEYes170 Lbs6 ft1NoNoProspectNoNo32025-06-14FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Ethan EdwardsMonsters (CLB)D232002-06-06CANYes195 Lbs6 ft0NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Graham SwardMonsters (CLB)D222003-09-12CANNo192 Lbs6 ft4NoNoDraftNoNo32025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Jacob InghamMonsters (CLB)G252000-06-10ONTNo205 Lbs6 ft5NoNoAssign ManuallyNoYes22024-12-09FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jared DavidsonMonsters (CLB)C/LW232002-07-07CANNo183 Lbs6 ft0NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Jeremy HanzelMonsters (CLB)D232003-02-27CANNo200 Lbs6 ft1NoNoDraftNoNo32025-08-10FalseFalsePro & Farm852,000$0$0$No852,000$852,000$-------852,000$852,000$-------NoNo-------Lien
John FarinacciMonsters (CLB)C252001-02-14USAYes197 Lbs5 ft11NoNoAssign ManuallyNoYes22024-06-30FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
John LeonardMonsters (CLB)RW271998-08-07USANo190 Lbs5 ft11YesNoFree AgentNoYes32025-08-21FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien
Keaton MiddletonMonsters (CLB)D281998-02-10CANNo240 Lbs6 ft6NoNoFree Agent2024-11-24NoYes42025-08-15FalseFalsePro & Farm850,000$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------Lien / Lien NHL
Kirill KudryavtsevMonsters (CLB)D222004-02-05RUSYes200 Lbs5 ft11NoNoProspectNoNo32025-06-14FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Lukas ReichelMonsters (CLB)C/LW232002-05-17GERNo170 Lbs6 ft0NoNoFree AgentNoNo12025-08-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Lukas SvejkovskyMonsters (CLB)C/LW/RW242001-11-28USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Marat KhusnutdinovMonsters (CLB)C232002-07-17RUSYes176 Lbs5 ft11NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Marshall WarrenMonsters (CLB)D242001-04-20USAYes185 Lbs6 ft0NoNoTradeNoNo32025-08-10FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Nikita PrishchepovMonsters (CLB)C222004-02-20RUSYes194 Lbs6 ft1NoNoDraftNoNo32025-08-10FalseFalsePro & Farm806,667$0$0$No806,667$806,667$-------806,667$806,667$-------NoNo-------Lien
Samuel JohannessonMonsters (CLB)D252000-12-27SWENo181 Lbs5 ft11NoNoDraftNoYes32025-08-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Valtteri PuustinenMonsters (CLB)LW/RW261999-06-04FINNo182 Lbs5 ft10NoNoFree AgentNoYes12025-08-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.80191 Lbs6 ft12.36869,047$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arttu HyryLukas ReichelValtteri Puustinen40122
2Jared DavidsonMarat Khusnutdinov30122
3Aidan McDonoughJohn FarinacciDanila Klimovich20122
4Eduard SaleNikita PrishchepovArttu Hyry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonCole McWard40122
2Kirill KudryavtsevSamuel Johannesson30122
3Jeremy HanzelNikita Prishchepov20122
4Keaton MiddletonCole McWard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arttu HyryLukas ReichelValtteri Puustinen60122
2Jared DavidsonMarat Khusnutdinov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonCole McWard60122
2Kirill KudryavtsevSamuel Johannesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyryLukas Reichel60122
2Marat KhusnutdinovValtteri Puustinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonCole McWard60122
2Kirill KudryavtsevSamuel Johannesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arttu Hyry60122Keaton MiddletonCole McWard60122
2Lukas Reichel40122Kirill KudryavtsevSamuel Johannesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyryLukas Reichel60122
2Marat KhusnutdinovValtteri Puustinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonCole McWard60122
2Kirill KudryavtsevSamuel Johannesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arttu HyryLukas ReichelValtteri PuustinenKeaton MiddletonCole McWard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arttu HyryLukas ReichelValtteri PuustinenKeaton MiddletonCole McWard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Danila Klimovich, John Farinacci, Aidan McDonoughDanila Klimovich, John FarinacciAidan McDonough
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Hanzel, Kirill Kudryavtsev, Samuel JohannessonJeremy HanzelKirill Kudryavtsev, Samuel Johannesson
Tirs de pénalité
Arttu Hyry, Lukas Reichel, Marat Khusnutdinov, Valtteri Puustinen, Jared Davidson
Gardien
#1 : Dylan Garand, #2 : Jacob Ingham
Lignes d’attaque personnalisées en prolongation
Arttu Hyry, Lukas Reichel, Marat Khusnutdinov, Valtteri Puustinen, Jared Davidson, , Danila Klimovich, John Farinacci, Aidan McDonough, Nikita Prishchepov
Lignes de défense personnalisées en prolongation
Keaton Middleton, Cole McWard, Kirill Kudryavtsev, Samuel Johannesson, Jeremy Hanzel


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
1 Americans2110000045-11010000024-21100000021120.50048120015011678104180680081732421416281119.09%5180.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
2Admirals211000006601010000013-21100000053220.50061016001501167810738068008173238142036600.00%9366.67%11549247562.59%1119197856.57%795129261.53%238517701602536963521
3Barracuda2020000047-31010000024-21010000023-100.00048120015011678103880680081732351861441300.00%21385.71%01549247562.59%1119197856.57%795129261.53%238517701602536963521
4Bears220000001631311000000111101100000052341.0001629450015011678101028068008173227312274125.00%60100.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
5Bruins2110000056-11010000024-21100000032120.5005813001501167810428068008173228828341516.67%8187.50%11549247562.59%1119197856.57%795129261.53%238517701602536963521
6Canucks531000011720-3321000001014-42100000176170.7001731480015011678101048068008173214447648833824.24%31777.42%01549247562.59%1119197856.57%795129261.53%238517701602536963521
7Checkers2110000012-1110000001011010000002-220.5001230115011678103980680081732321123481000.00%60100.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
8Comets440000002151622000000113822000000102881.0002136570015011678102038068008173251203310212433.33%13192.31%01549247562.59%1119197856.57%795129261.53%238517701602536963521
9Condors21100000642110000004041010000024-220.500691501150116781034806800817322210382515320.00%9188.89%01549247562.59%1119197856.57%795129261.53%238517701602536963521
10Crunch402010011114-3200010016602020000058-330.37511213200150116781078806800817321023069812129.52%311067.74%01549247562.59%1119197856.57%795129261.53%238517701602536963521
11Eagles22000000743110000004221100000032141.000711180015011678103580680081732339263817211.76%13376.92%01549247562.59%1119197856.57%795129261.53%238517701602536963521
12Firebirds2200000015213110000007071100000082641.0001527420115011678101168068008173225821442150.00%90100.00%11549247562.59%1119197856.57%795129261.53%238517701602536963521
13Griffins430000101631321000010532220000001101181.000162541021501167810119806800817325116347425416.00%17194.12%01549247562.59%1119197856.57%795129261.53%238517701602536963521
14Gulls330000002432122000000162141100000081761.0002444680015011678101628068008173229722883266.67%11281.82%01549247562.59%1119197856.57%795129261.53%238517701602536963521
15Ice Hogs220000002011911000000110111100000091841.0002035550115011678101278068008173214512397114.29%6183.33%01549247562.59%1119197856.57%795129261.53%238517701602536963521
16Islanders22000000220221100000010010110000001201241.0002240620215011678101128068008173216620393133.33%40100.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
17Marlies4310000013103211000005502200000085360.75013253800150116781093806800817327116618622313.64%23482.61%11549247562.59%1119197856.57%795129261.53%238517701602536963521
18Moose2010100046-2100010003211010000014-320.50046100015011678104980680081732347354112325.00%15286.67%01549247562.59%1119197856.57%795129261.53%238517701602536963521
19Penguins44000000229131100000061533000000168881.000223759011501167810170806800817321033522839222.22%11190.91%11549247562.59%1119197856.57%795129261.53%238517701602536963521
20Phantoms21100000541110000004041010000014-320.50059140115011678104580680081732411122331300.00%11281.82%01549247562.59%1119197856.57%795129261.53%238517701602536963521
21Reign2110000046-2110000003211010000014-320.500461000150116781036806800817323711285514321.43%13376.92%01549247562.59%1119197856.57%795129261.53%238517701602536963521
22Roadrunners2110000010551010000024-21100000081720.5001017270015011678106080680081732267324910220.00%16381.25%01549247562.59%1119197856.57%795129261.53%238517701602536963521
23Rocket42200000111102020000058-32200000063340.50011182900150116781071806800817326120617825520.00%28582.14%01549247562.59%1119197856.57%795129261.53%238517701602536963521
24Senators4210100013103220000006332010100077060.75013233600150116781090806800817327814567824312.50%27388.89%11549247562.59%1119197856.57%795129261.53%238517701602536963521
25Silver Knights21000001862110000005231000000134-130.7508162400150116781050806800817322111183916425.00%9188.89%01549247562.59%1119197856.57%795129261.53%238517701602536963521
26Stars22000000153121100000010191100000052341.00015304500150116781063806800817324310183915640.00%7185.71%01549247562.59%1119197856.57%795129261.53%238517701602536963521
27Thunderbirds22000000188101100000010371100000085341.000183250001501167810958068008173228716334250.00%80100.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
28Wild3110010079-22110000056-11000010023-130.5007132000150116781044806800817325917646618211.11%30486.67%01549247562.59%1119197856.57%795129261.53%238517701602536963521
29Wolf Pack2020000036-31010000012-11010000024-200.000369001501167810428068008173229927391317.69%11281.82%01549247562.59%1119197856.57%795129261.53%238517701602536963521
30Wolves211000008621010000014-31100000072520.500813210015011678103380680081732421124379111.11%10190.00%01549247562.59%1119197856.57%795129261.53%238517701602536963521
31Wranglers312000001213-11010000046-22110000087120.33312193100150116781071806800817326617596518422.22%23578.26%01549247562.59%1119197856.57%795129261.53%238517701602536963521
Total8250240311334819715141241302011173957841261101102175102731120.68334861496201015011678102437806800817321428429104216564197217.18%4417183.90%61549247562.59%1119197856.57%795129261.53%238517701602536963521
_Since Last GM Reset8250240311334819715141241302011173957841261101102175102731120.68334861496201015011678102437806800817321428429104216564197217.18%4417183.90%61549247562.59%1119197856.57%795129261.53%238517701602536963521
_Vs Conference4729130201218410975231370101184543024166010011005545660.7021843235070715011678101343806800817328762575569272383615.13%2373883.97%41549247562.59%1119197856.57%795129261.53%238517701602536963521
_Vs Division26177020127461131384010113233-1139301001422814420.80874130204031501167810573806800817324651293485071531912.42%1452582.76%31549247562.59%1119197856.57%795129261.53%238517701602536963521

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82112W13486149622437142842910421656010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8250243113348197
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412413201117395
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4126111102175102
Derniers 10 matchs
WLOTWOTL SOWSOL
531010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4197217.18%4417183.90%6
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
806800817321501167810
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
1549247562.59%1119197856.57%795129261.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
238517701602536963521


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
28Canucks8Monsters1LSommaire du match
318Monsters7Penguins4WSommaire du match
536Monsters6Penguins4WSommaire du match
857Gulls1Monsters6WSommaire du match
1071Senators1Monsters2WSommaire du match
1286Monsters4Senators3WXSommaire du match
1498Monsters3Crunch4LSommaire du match
16108Monsters5Wranglers3WSommaire du match
18126Rocket3Monsters1LSommaire du match
20146Crunch3Monsters4WXSommaire du match
22154Monsters3Rocket2WSommaire du match
24170Monsters4Marlies3WSommaire du match
26182Monsters5Comets1WSommaire du match
27191Comets2Monsters4WSommaire du match
30214Monsters6Canucks4WSommaire du match
31223Marlies3Monsters4WSommaire du match
35250Canucks4Monsters5WSommaire du match
36259Monsters7Griffins0WSommaire du match
39280Monsters12Islanders0WSommaire du match
40288Admirals3Monsters1LSommaire du match
43306Monsters1Canucks2LXXSommaire du match
44320Crunch3Monsters2LXXSommaire du match
47337Monsters2Wild3LXSommaire du match
49350Firebirds0Monsters7WSommaire du match
52375Eagles2Monsters4WSommaire du match
55398Monsters4Griffins0WSommaire du match
57408Monsters1Reign4LSommaire du match
58415Bears1Monsters11WSommaire du match
60440Comets1Monsters7WSommaire du match
63462Monsters7Wolves2WSommaire du match
65470Ice Hogs0Monsters11WSommaire du match
67486Monsters3Wranglers4LSommaire du match
69503Penguins1Monsters6WSommaire du match
71518Monsters1Moose4LSommaire du match
73529Monsters3Rocket1WSommaire du match
75541Gulls1Monsters10WSommaire du match
77559Monsters3Bruins2WSommaire du match
79573Wolves4Monsters1LSommaire du match
82596Monsters8Roadrunners1WSommaire du match
83604Stars1Monsters10WSommaire du match
87629Wranglers6Monsters4LSommaire du match
89644Monsters5Stars2WSommaire du match
91661Monsters4Marlies2WSommaire du match
92670Barracuda4Monsters2LSommaire du match
95690Monsters3Eagles2WSommaire du match
96701Roadrunners4Monsters2LSommaire du match
99723Monsters3Senators4LSommaire du match
101735Wolf Pack2Monsters1LSommaire du match
103757Phantoms0Monsters4WSommaire du match
105768Monsters1Phantoms4LSommaire du match
109794Condors0Monsters4WSommaire du match
112819Checkers0Monsters1WSommaire du match
115840Monsters2Barracuda3LSommaire du match
117850Thunderbirds3Monsters10WSommaire du match
119865Monsters3Silver Knights4LXXSommaire du match
121878Reign2Monsters3WSommaire du match
123890Monsters0Checkers2LSommaire du match
125910 Americans4Monsters2LSommaire du match
127922Monsters2Condors4LSommaire du match
130942Monsters2 Americans1WSommaire du match
131951Marlies2Monsters1LSommaire du match
134973Monsters8Gulls1WSommaire du match
135981Silver Knights2Monsters5WSommaire du match
1391005Monsters3Penguins0WSommaire du match
1401016Canucks2Monsters4WSommaire du match
1431038Islanders0Monsters10WSommaire du match
1461058Monsters5Bears2WSommaire du match
1481070Rocket5Monsters4LSommaire du match
1501082Monsters9Ice Hogs1WSommaire du match
1521097Monsters8Firebirds2WSommaire du match
1541112Bruins4Monsters2LSommaire du match
1561133Monsters5Comets1WSommaire du match
1581143Moose2Monsters3WXSommaire du match
1611169Griffins2Monsters3WSommaire du match
1631181Monsters2Wolf Pack4LSommaire du match
1651197Monsters2Crunch4LSommaire du match
1671208Griffins1Monsters2WXXSommaire du match
1681216Monsters8Thunderbirds5WSommaire du match
1711242Senators2Monsters4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731258Monsters5Admirals3WSommaire du match
1751273Wild4Monsters2LSommaire du match
1801302Wild2Monsters3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,47538,714
Assistance PCT45.70%94.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1858 - 61.94% 91,402$3,747,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,953,700$ 2,172,617$ 2,172,617$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,808$ 2,203,685$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,884$ 0$




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
1Marat Khusnutdinov7942509231245817027015.56%13160620.331517326410195260.86%01.1514
2Arttu Hyry793557925113720518226413.26%19190024.065192447123115255.47%10.9704
3Lukas Reichel7929598845102015120714.01%11160920.376142036123115161.47%01.0924
4Aidan McDonough8243428567761038725416.93%14115914.14022510125151.26%11.4711
5Valtteri Puustinen7931437432407410922913.54%8141617.934182249101143045.24%01.0422

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
1Dylan Garand58361810.8572.543146061339290300.4297
2Jacob Ingham3518630.8791.94176204574730000.50010

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
Saison régulière
202582502403113348197151412413020111739578412611011021751027311234861496201015011678102437806800817321428429104216564197217.18%4417183.90%61549247562.59%1119197856.57%795129261.53%238517701602536963521
Total Saison régulière82502403113348197151412413020111739578412611011021751027311234861496201015011678102437806800817321428429104216564197217.18%4417183.90%61549247562.59%1119197856.57%795129261.53%238517701602536963521
Séries éliminatoires
20241156000003032-25320000015141624000001518-310304979011510412187184594208511862414948.16%83989.16%016628658.04%17229957.53%10217159.65%2541682768413969
Total Séries éliminatoires1156000003032-25320000015141624000001518-310304979011510412187184594208511862414948.16%83989.16%016628658.04%17229957.53%10217159.65%2541682768413969

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
1Lukas Reichel115611423252420.83%124622.38202500010053.80%00.8900
2Marat Khusnutdinov1155105109331827.78%217916.29000000011056.82%01.1200
3Aidan McDonough113710741071421.43%015113.76000000001069.23%01.3200
4Raphael Lavoie11369304172910.34%221419.48022400000064.58%00.8400
5Cedric Pare1144851513172020.00%014613.32000000001060.00%01.0900

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
1Dylan Garand115600.8482.90601012919100000
2Dustin Tokarski20000.8242.73660031700000