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Hornets
GP: 80 | W: 44 | L: 28 | OTL: 8 | P: 96
GF: 240 | GA: 218 | PP%: 24.86% | PK%: 76.06%
DG: Kieran Green | Morale : 50 | Moyenne d’équipe : 70

Centre de jeu
Hornets
44-28-8, 96pts
2
3 Devils
43-29-8, 94pts
Team Stats
L2SéquenceL1
21-17-2Fiche domicile24-12-4
23-11-6Fiche domicile19-17-4
5-4-1Derniers 10 matchs8-2-0
3.00Buts par match 3.46
2.73Buts contre par match 3.38
24.86%Pourcentage en avantage numérique35.07%
76.06%Pourcentage en désavantage numérique72.07%
Hornets
44-28-8, 96pts
2
3 Jazz
18-54-8, 44pts
Team Stats
L2SéquenceL1
21-17-2Fiche domicile8-26-6
23-11-6Fiche domicile10-28-2
5-4-1Derniers 10 matchs3-7-0
3.00Buts par match 2.36
2.73Buts contre par match 3.93
24.86%Pourcentage en avantage numérique28.67%
76.06%Pourcentage en désavantage numérique72.87%
Meneurs d'équipe
Buts
Artsyom Marakow
36
Passes
Artsyom Marakow
38
Points
Artsyom Marakow
74
Plus/Moins
Akke Pyoriainen
16
Victoires
Gleb Zazulenko
26
Pourcentage d’arrêts
Gleb Zazulenko
0.919

Statistiques d’équipe
Buts pour
240
3.00 GFG
Tirs pour
2492
31.15 Avg
Pourcentage en avantage numérique
24.9%
43 GF
Début de zone offensive
36.7%
Buts contre
218
2.73 GAA
Tirs contre
2488
31.10 Avg
Pourcentage en désavantage numérique
76.1%%
17 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralKieran Green
EntraîneurPatrick Taylor
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1Oskar Carlsson
Assistant #2Easton Jamieson


Informations de l’aréna

Capacité3,000
Assistance2,318
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 55
Espoirs4


Historique d'équipe

Saison actuelle44-28-8 (96PTS)
Historique194-153-48 (0.491%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
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
1Aiden Wourms25X100.0035459887666192988396623877655938507602841,400,000$
2Emilio Mabry (R)46X100.0031458574907451859185906960903058507602331,900,999$
3Dane Wooten (R)26X100.0078527658846055826287856563578858507302331,999,999$
4Easton Jamieson (A)17X100.0059499072779994676472613733778742507202621,200,000$
5Oskar Carlsson (A)31X100.00543498859463598796744456759244385072X02621,600,000$
6Maitland Cable51X100.00996494586293768993823743489479150720362835,000$
7Artsyom Marakow (R)37X100.006445678799718992465364525362846850720213900,000$
8Antonio Donohoe (R)58X100.0033566265618255707879898056899156507102321,200,000$
9Deimantas Dainys69X100.0089517157827050617545989935997840507002911,330,000$
10Didier Theriault0X100.009362756953847080894963656090873350690281700,000$
11Finlay Hellgren (R)22X100.005231867182465981723456878685466550640223750,000$
12Tony Delaurentis (R)56X100.004160597627598565504676878178357450620221700,000$
13Ronald Duco0X100.004164896649918893257173709580844507303511,190,738$
14Connie Leather (R)66X100.009640827259625792256361736359976550690221700,000$
15Jens Liljegren (R)35X100.0090587365587964712573577071465263506902331,900,000$
16Bohdan Palamarchuk43X100.008735587138945367257946753952615650660241700,000$
17Akke Pyoriainen42X100.005439778660766173256049518952571650620332950,000$
18Yevheniy Yakovenko (R)44X100.004532875542676875256163559166887250610221700,000$
Rayé
1Adalbert Berlin7X100.0039549162996169689997447692596928507403021,100,000$
2Rylan Meunier65X100.0063408872838855695661699735989256507302521,000,000$
3Gennady Oginsky89X100.007750839059748883586946778976821507303611,200,000$
4Adel Ferrantino (R)27X100.00464655676070757264596255505575675063X0223844,507$
5Norman Krichew52X100.009946899537995466255649993660426750730221800,000$
6Ivan Nekhrist41X100.0049598391569975842555655998806419507203321,720,000$
7Siegfried Klatt (R)85X97.595428948970895778254457855775377550690211800,000$
8Joachim Pickering (R)8X29.285241906446615391258338869484566650640215950,000$
MOYENNE D’ÉQUIPE97.19624781736576677855676269667468475070
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
1Gleb Zazulenko38100.00907068798571549689748766536950780221800,000$
2Tylor Rebelo70100.007555796976996890636893667128507403021,510,000$
Rayé
1Branislav Herceg (R)48100.0076697777646675728970718476545074X0183900,000$
MOYENNE D’ÉQUIPE100.0080657575757966868071847267505075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Taylor54707778958060USA5041,000,000$


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
1Artsyom MarakowHornets (DOC)RW8036387411140969030710016511.73%35125615.7169152074000017144.68%479122011.1800000843
2Aiden WourmsHornets (DOC)RW65213051-11557572107110210.00%18110016.93291111107000045247.52%1015915100.9303100234
3Dane WootenHornets (DOC)LW681727441391513898158409310.76%29113116.64371014980005392051.39%722720100.7812012643
4Maitland CableHornets (DOC)C752023431472516590124338116.13%25112214.97213524000094153.76%7721220000.7700212155
5Oskar CarlssonHornets (DOC)C59201636-6001879127467615.75%3090315.3172910670001258355.59%6803014000.8000000134
6Antonio DonohoeHornets (DOC)RW80142034364202485187571087.49%31112314.0401117000042045.45%553832000.6100004021
7Easton JamiesonHornets (DOC)C671320331575648586336115.12%20109716.3945991100110472044.47%886614000.6000001111
8Gennady OginskyHornets (DOC)RW50121830-1100655413849818.70%2380216.051910361000020045.28%534213000.7512000302
9Emilio MabryHornets (DOC)LW33171128111010442102286116.67%1256717.194378450000113137.93%581510010.9912101130
10Deimantas DainysHornets (DOC)LW6111132411351267662143017.74%1989014.604597590002282067.65%34718000.5400010210
11Adalbert BerlinHornets (DOC)C4461521-500127048194712.50%1968415.573698540000241152.88%643113000.6114000101
12Bohdan PalamarchukHornets (DOC)D7421719102952191145523233.64%95152520.612134105000038000%21540000.2500001001
13Jens LiljegrenHornets (DOC)D7141519-495651781098929354.49%88149021.000333101022137200%01144000.2500436031
14Finlay HellgrenHornets (DOC)C639918-122032889542579.47%1677612.3300002000010148.79%6191117000.4600000011
15Siegfried KlattHornets (DOC)D442161800017675933253.39%5284819.29134860000028000%01129100.4200000012
16Tony DelaurentisHornets (DOC)LW718816-73525376710745697.48%3182411.6100015000141037.50%481828000.3900113110
17Connie LeatherHornets (DOC)D5321315-1080140886433393.13%53106620.11112480000029000%01927000.2800000100
18Joachim PickeringHornets (DOC)D5321315-110023845725283.51%71101419.14011031000022100%1940000.3001000000
19Ivan NekhristHornets (DOC)D3521113-10191518467235352.78%4681523.30134360000122100%02227000.3211111010
20Yevheniy YakovenkoHornets (DOC)D560131350018514014140%4899617.7900001100001000%0736000.2600000001
21Rylan MeunierHornets (DOC)LW397613100516468193510.29%1869717.870006581011121035.29%341322000.3702000022
22Didier TheriaultHornets (DOC)LW475712-6371584599034605.56%1563713.5700000101100070.37%271311000.3800201001
23Adel FerrantinoHornets (DOC)C242810-1203729237228.70%632913.7200000000010034.67%19986000.6100000110
24Akke PyoriainenHornets (DOC)D4815616201036463019223.33%4186117.950000900009000%0825000.1400002000
25Ronald DucoHornets (DOC)D10134-7151511313657.69%1321521.5211221400007000%059000.3700102000
26Norman KrichewHornets (DOC)D11044400251510570%922920.85000122000010000%048000.3500000000
27Marv PlaisanceDockheadsD25022-255633513420%2143717.49000116000013000%019000.0900100000
Statistiques d’équipe totales ou en moyenne1406234381615-2446624016981801243486313839.61%8842344616.684270112129129423513441421049.57%4331503569320.5251714826293633
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
1Gleb ZazulenkoHornets (DOC)44261160.9192.492581231071322697610.611184220934
2Tylor RebeloHornets (DOC)2310910.9122.651291005764528200002234301
3Branislav HercegHornets (DOC)178810.9043.12962025052028600001626201
Statistiques d’équipe totales ou en moyenne84442880.9142.6648342521424871265611880801436


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Adalbert BerlinHornets (DOC)C301997-02-12GERNo181 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$110,000$2,973$No1,100,000$--------1,100,000$--------No--------
Adel FerrantinoHornets (DOC)C222005-03-12USAYes239 Lbs6 ft6NoYesFree AgentNoNo32024-06-05FalseFalsePro & Farm844,507$84,451$2,282$No844,507$844,507$-------844,507$844,507$-------NoNo-------
Aiden WourmsHornets (DOC)RW281999-08-07CANNo184 Lbs6 ft0NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,400,000$140,000$3,784$No1,400,000$1,400,000$1,400,000$------1,400,000$1,400,000$1,400,000$------NoNoNo------
Akke PyoriainenHornets (DOC)D331994-07-19FINNo165 Lbs5 ft8NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm950,000$95,000$2,568$No950,000$--------950,000$--------No--------
Antonio DonohoeHornets (DOC)RW232004-03-08CANYes243 Lbs6 ft5NoNoAssign Manually2025-06-11NoNo22025-10-26FalseFalsePro & Farm1,200,000$120,000$3,243$No1,200,000$--------1,200,000$--------No--------
Artsyom MarakowHornets (DOC)RW212006-09-12BLRYes214 Lbs6 ft3NoNoDraftNoNo32025-10-05FalseFalsePro & Farm900,000$90,000$2,432$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Bohdan PalamarchukHornets (DOC)D242003-09-27UKRNo236 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,892$No---------------------------
Branislav HercegHornets (DOC)G182009-01-14SVKYes164 Lbs6 ft2NoYesAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$2,432$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Connie LeatherHornets (DOC)D222005-11-14USAYes233 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,892$No---------------------------
Dane WootenHornets (DOC)LW232004-03-01USAYes185 Lbs6 ft0NoNoTrade2024-11-08NoNo32024-07-09FalseFalsePro & Farm1,999,999$200,000$5,405$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Deimantas DainysHornets (DOC)LW291998-01-26LTUNo203 Lbs6 ft3NoNoN/ANoNo12024-06-05FalseFalsePro & Farm1,330,000$133,000$3,595$No---------------------------
Didier TheriaultHornets (DOC)LW281999-09-16CANNo226 Lbs6 ft7NoNoFree AgentNoNo12025-12-23FalseFalsePro & Farm700,000$70,000$1,892$No---------------------------
Easton JamiesonHornets (DOC)C262001-03-09CANNo165 Lbs5 ft7NoNoFree AgentNoNo22025-02-23FalseFalsePro & Farm1,200,000$120,000$3,243$No1,200,000$--------1,200,000$--------No--------
Emilio MabryHornets (DOC)LW232004-04-19USAYes179 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm1,900,999$1,900,999$51,378$No1,900,999$1,900,999$-------1,900,999$1,900,999$-------NoNo-------
Finlay HellgrenHornets (DOC)C222005-05-14FINYes181 Lbs5 ft6NoNoFree AgentNoNo32024-07-16FalseFalsePro & Farm750,000$75,000$2,027$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Gennady OginskyHornets (DOC)RW361991-07-01RUSNo201 Lbs6 ft7NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,200,000$120,000$3,243$No---------------------------
Gleb ZazulenkoHornets (DOC)G222005-06-22RUSNo174 Lbs5 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$2,162$No---------------------------
Ivan NekhristHornets (DOC)D331994-05-20RUSNo216 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,720,000$172,000$4,649$No1,720,000$--------1,720,000$--------No--------
Jens LiljegrenHornets (DOC)D232004-05-17SWEYes221 Lbs6 ft4NoNoFree AgentNoNo32024-07-13FalseFalsePro & Farm1,900,000$190,000$5,135$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------
Joachim Pickering (sur la masse salariale)Hornets (DOC)D212006-04-01CANYes189 Lbs5 ft11NoNoTrade2025-11-18NoNo52025-10-26FalseFalsePro & Farm950,000$0$0$Yes950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----
Maitland CableHornets (DOC)C361991-04-03USANo186 Lbs5 ft11NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm835,000$83,500$2,257$No835,000$--------835,000$--------No--------
Norman KrichewHornets (DOC)D222005-12-23CANNo245 Lbs6 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$800,000$21,622$No---------------------------
Oskar CarlssonHornets (DOC)C262001-07-25SWENo220 Lbs6 ft7NoYesN/ANoNo2FalseFalsePro & Farm1,600,000$160,000$4,324$No1,600,000$--------1,600,000$--------No--------
Ronald DucoHornets (DOC)D351992-09-20CANNo216 Lbs6 ft7NoNoFree AgentNoNo12026-03-07FalseFalsePro & Farm1,190,738$119,074$3,218$No---------------------------
Rylan MeunierHornets (DOC)LW252002-03-18CANNo204 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,000,000$100,000$2,703$No1,000,000$--------1,000,000$--------No--------
Siegfried KlattHornets (DOC)D212006-10-08GERYes221 Lbs6 ft7NoNoTrade2024-11-17NoNo12024-07-04FalseFalsePro & Farm800,000$80,000$2,162$No---------------------------
Tony DelaurentisHornets (DOC)LW222005-12-22CANYes216 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,892$No---------------------------
Tylor RebeloHornets (DOC)G301997-09-17CANNo177 Lbs5 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,510,000$151,000$4,081$No1,510,000$--------1,510,000$--------No--------
Yevheniy YakovenkoHornets (DOC)D222005-10-13UKRYes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,892$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.72202 Lbs6 ft12.031,113,146$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emilio MabryEaston JamiesonAiden Wourms25023
2Dane WootenOskar CarlssonArtsyom Marakow25023
3Deimantas DainysMaitland CableAntonio Donohoe25023
4Didier TheriaultFinlay HellgrenTony Delaurentis25023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronald DucoConnie Leather33032
2Jens LiljegrenBohdan Palamarchuk32032
3Akke PyoriainenYevheniy Yakovenko31032
4Ronald DucoConnie Leather4032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emilio MabryEaston JamiesonAiden Wourms50005
2Dane WootenOskar CarlssonArtsyom Marakow50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronald DucoConnie Leather50023
2Jens LiljegrenBohdan Palamarchuk50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Easton JamiesonEmilio Mabry50122
2Oskar CarlssonDane Wooten50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronald DucoConnie Leather50122
2Jens LiljegrenBohdan Palamarchuk50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Easton Jamieson50122Ronald DucoConnie Leather50122
2Oskar Carlsson50122Jens LiljegrenBohdan Palamarchuk50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Easton JamiesonEmilio Mabry50122
2Oskar CarlssonDane Wooten50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronald DucoConnie Leather50122
2Jens LiljegrenBohdan Palamarchuk50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emilio MabryEaston JamiesonAiden WourmsRonald DucoConnie Leather
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dane WootenOskar CarlssonArtsyom MarakowJens LiljegrenBohdan Palamarchuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Easton Jamieson, Oskar Carlsson, Maitland CableEaston Jamieson, Oskar CarlssonEaston Jamieson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bohdan Palamarchuk, Akke Pyoriainen, Yevheniy YakovenkoBohdan PalamarchukBohdan Palamarchuk, Akke Pyoriainen
Tirs de pénalité
Aiden Wourms, Emilio Mabry, Dane Wooten, Artsyom Marakow, Easton Jamieson
Gardien
#1 : Tylor Rebelo, #2 : Gleb Zazulenko
Lignes d’attaque personnalisées en prolongation
Aiden Wourms, Emilio Mabry, Dane Wooten, Artsyom Marakow, Easton Jamieson, Oskar Carlsson, Maitland Cable, Antonio Donohoe, Deimantas Dainys, Didier Theriault
Lignes de défense personnalisées en prolongation
Ronald Duco, Connie Leather, Jens Liljegren, Bohdan Palamarchuk, Akke Pyoriainen


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
1Auroras431000001073211000004402200000063360.7501018280060878512125734907822461175257412325.00%000%0819158851.57%795162348.98%552112049.29%170299817236971415717
2Bulldogs211000003301010000012-11100000021120.500369006087851270734907822465612846300.00%40100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
3Comets20200000510-51010000035-21010000025-300.00059140060878512757349078224674231154000%3233.33%0819158851.57%795162348.98%552112049.29%170299817236971415717
4Crusaders220000001239110000005051100000073441.00012193101608785126473490782246601717567342.86%10100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
5Devils84201001251964210100015114421000011082110.688254570006087851226873490782246256912816528621.43%9277.78%1819158851.57%795162348.98%552112049.29%170299817236971415717
6Guppies4110110011101211000006512000110055050.6251118290060878512145734907822461024321899444.44%3166.67%0819158851.57%795162348.98%552112049.29%170299817236971415717
7Hydra2010010079-21010000023-11000010056-110.250712190060878512457349078224666234298337.50%20100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
8Jacks4300010014104220000008442100010066070.8751422360060878512135734907822461142997910440.00%220.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
9Jazz85201000281513431000001569421010001394120.750284270026087851222673490782246169718821221733.33%9277.78%0819158851.57%795162348.98%552112049.29%170299817236971415717
10Kings42200000913-42020000018-72200000085340.50091423006087851210373490782246128522580600.00%50100.00%1819158851.57%795162348.98%552112049.29%170299817236971415717
11Northmen21100000752110000006331010000012-120.50071118006087851258734907822467830831100.00%4175.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
12Outlaws832001112528-34100011113130422000001215-3100.6252538630060878512272734907822462701239917510330.00%2150.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
13Phantoms2110000036-3110000002021010000016-520.500358016087851259734907822466717033500.00%000%0819158851.57%795162348.98%552112049.29%170299817236971415717
14Rampage22000000835110000003121100000052341.000814220060878512617349078224660293252100.00%110.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
15Rock211000004401010000012-11100000032120.50045900608785126673490782246652214386233.33%20100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
16Schooners2010000146-21010000023-11000000123-110.25048120060878512587349078224683240483133.33%000%0819158851.57%795162348.98%552112049.29%170299817236971415717
17Spartans2020000036-31010000012-11010000024-200.000347006087851264734907822467026641200.00%3166.67%0819158851.57%795162348.98%552112049.29%170299817236971415717
18Stingers2110000079-21010000026-41100000053220.5007111800608785126873490782246682410365240.00%50100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
19Vipers422000009812020000027-52200000071640.5009152401608785121257349078224613649684500.00%30100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
20Wild Wings20002000972100010004311000100054141.0009152400608785126973490782246521521564125.00%3233.33%0819158851.57%795162348.98%552112049.29%170299817236971415717
21Wolfpack412001001316-320200000511-62100010085330.375131831106087851211273490782246146411110112216.67%3166.67%0819158851.57%795162348.98%552112049.29%170299817236971415717
22Wolverines412010001011-1210010008442020000027-540.5001017270060878512107734907822461123723881119.09%4175.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
23Yeti42101000141042200000010372010100047-360.7501422360060878512117734907822461395231724125.00%30100.00%0819158851.57%795162348.98%552112049.29%170299817236971415717
Total80362807513240218224017170311111910613401911044021211129960.6002403886281560878512249273490782246248890247717391734324.86%711776.06%2819158851.57%795162348.98%552112049.29%170299817236971415717
_Since Last GM Reset80362807513240218224017170311111910613401911044021211129960.6002403886281560878512249273490782246248890247717391734324.86%711776.06%2819158851.57%795162348.98%552112049.29%170299817236971415717
_Vs Conference5627170541216814721281310021118776112814703301817110720.6431682694371360878512173573490782246168964034612191283124.22%431076.74%2819158851.57%795162348.98%552112049.29%170299817236971415717
_Vs Division1012602112312745620111119145564010011213-1331.6503150810060878512313734907822463411185718513323.08%16193.75%0819158851.57%795162348.98%552112049.29%170299817236971415717

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8096L224038862824922488902477173915
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8036287513240218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017173111119106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019114402121112
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1734324.86%711776.06%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
7349078224660878512
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
819158851.57%795162348.98%552112049.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170299817236971415717


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
1 - 2025-11-023Devils2Hornets4WSommaire du match
2 - 2025-11-0313Hornets4Auroras2WSommaire du match
4 - 2025-11-0525Wolfpack6Hornets2LSommaire du match
6 - 2025-11-0747Hornets4Vipers0WSommaire du match
8 - 2025-11-0950Guppies4Hornets2LSommaire du match
9 - 2025-11-1064Hornets3Jazz1WSommaire du match
11 - 2025-11-1274Hornets2Guppies1WXSommaire du match
13 - 2025-11-1493Hornets2Schooners3LXXSommaire du match
15 - 2025-11-1699Jazz0Hornets7WSommaire du match
16 - 2025-11-17113Hornets5Wolfpack1WSommaire du match
18 - 2025-11-19122Hydra3Hornets2LSommaire du match
20 - 2025-11-21137Outlaws1Hornets2WSommaire du match
22 - 2025-11-23149Yeti2Hornets5WSommaire du match
23 - 2025-11-24162Hornets3Yeti2WXSommaire du match
25 - 2025-11-26172Hornets3Outlaws2WSommaire du match
27 - 2025-11-28184Outlaws5Hornets4LXXSommaire du match
29 - 2025-11-30197Hornets1Northmen2LSommaire du match
31 - 2025-12-02214Hornets0Wolverines4LSommaire du match
33 - 2025-12-04222Wild Wings3Hornets4WXSommaire du match
34 - 2025-12-05228Hornets2Devils3LXXSommaire du match
36 - 2025-12-07242Yeti1Hornets5WSommaire du match
38 - 2025-12-09259Hornets1Outlaws6LSommaire du match
40 - 2025-12-11271Hornets4Jacks3WSommaire du match
41 - 2025-12-12285Hornets1Yeti5LSommaire du match
43 - 2025-12-14289Jazz2Hornets0LSommaire du match
45 - 2025-12-16305Jacks1Hornets3WSommaire du match
47 - 2025-12-18317Crusaders0Hornets5WSommaire du match
48 - 2025-12-19326Auroras1Hornets2WSommaire du match
50 - 2025-12-21335Hornets7Crusaders3WSommaire du match
51 - 2025-12-22347Vipers3Hornets1LSommaire du match
53 - 2025-12-24360Hornets4Jazz3WXSommaire du match
55 - 2025-12-26373Wolverines3Hornets4WXSommaire du match
57 - 2025-12-28386Phantoms0Hornets2WSommaire du match
58 - 2025-12-29395Auroras3Hornets2LSommaire du match
60 - 2025-12-31407Kings3Hornets0LSommaire du match
62 - 2026-01-02427Hornets5Stingers3WSommaire du match
64 - 2026-01-04435Hornets3Outlaws4LSommaire du match
66 - 2026-01-06449Outlaws1Hornets2WXXSommaire du match
68 - 2026-01-08460Hornets2Auroras1WSommaire du match
69 - 2026-01-09469Devils2Hornets3WXSommaire du match
71 - 2026-01-11484Hornets5Hydra6LXSommaire du match
72 - 2026-01-12492Hornets4Kings2WSommaire du match
74 - 2026-01-14504Hornets3Guppies4LXSommaire du match
76 - 2026-01-16517Hornets3Devils1WSommaire du match
78 - 2026-01-18535Hornets3Vipers1WSommaire du match
80 - 2026-01-20548Hornets3Rock2WSommaire du match
82 - 2026-01-22557Comets5Hornets3LSommaire du match
83 - 2026-01-23563Devils2Hornets6WSommaire du match
85 - 2026-01-25583Hornets2Wolverines3LSommaire du match
86 - 2026-01-26587Hornets1Phantoms6LSommaire du match
88 - 2026-01-28599Hornets2Jacks3LXSommaire du match
90 - 2026-01-30611Vipers4Hornets1LSommaire du match
92 - 2026-02-01624Rock2Hornets1LSommaire du match
93 - 2026-02-02632Kings5Hornets1LSommaire du match
95 - 2026-02-04645Stingers6Hornets2LSommaire du match
97 - 2026-02-06657Wolverines1Hornets4WSommaire du match
99 - 2026-02-08668Hornets2Bulldogs1WSommaire du match
100 - 2026-02-09682Hornets5Rampage2WSommaire du match
102 - 2026-02-11692Bulldogs2Hornets1LSommaire du match
104 - 2026-02-13705Jazz0Hornets3WSommaire du match
106 - 2026-02-15716Wolfpack5Hornets3LSommaire du match
107 - 2026-02-16729Northmen3Hornets6WSommaire du match
111 - 2026-02-20756Hornets3Wolfpack4LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
113 - 2026-02-22767Hornets2Spartans4LSommaire du match
115 - 2026-02-24777Jacks3Hornets5WSommaire du match
117 - 2026-02-26787Hornets3Devils1WSommaire du match
118 - 2026-02-27794Spartans2Hornets1LSommaire du match
120 - 2026-03-01809Hornets4Jazz2WSommaire du match
122 - 2026-03-03824Schooners3Hornets2LSommaire du match
124 - 2026-03-05834Rampage1Hornets3WSommaire du match
125 - 2026-03-06839Outlaws6Hornets5LXSommaire du match
127 - 2026-03-08849Hornets2Comets5LSommaire du match
128 - 2026-03-09857Guppies1Hornets4WSommaire du match
131 - 2026-03-12871Hornets5Outlaws3WSommaire du match
132 - 2026-03-13880Devils5Hornets2LSommaire du match
134 - 2026-03-15899Hornets5Wild Wings4WXSommaire du match
135 - 2026-03-16902Hornets4Kings3WSommaire du match
137 - 2026-03-18905Jazz4Hornets5WSommaire du match
139 - 2026-03-20918Hornets2Devils3LSommaire du match
141 - 2026-03-22931Hornets2Jazz3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance54,92437,776
Assistance PCT68.66%94.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2318 - 77.25% 72,544$2,901,779$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,229,543$ 5,564,024$ 5,564,024$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,564,024$ 4,229,543$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 44,352$ 177,408$




Hornets 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
1Aiden Wourms25180111191-27118621170611.33%62419716.7219335255000020749.87%00.91924
2Gennady Oginsky3068994183-397049539688810.02%129495016.1817244154000016640.54%10.741033
3Oskar Carlsson2966788155-8141773656979.61%101433414.641682437000514755.26%00.7203
4Maitland Cable2485892150-108353136344712.98%83416116.789182734303813454.32%00.72310
5Easton Jamieson334528513719553183785569.35%70512215.341012222702294445.42%00.5301

Hornets 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
1Gleb Zazulenko1206431220.9212.4771526429437372024630.69265
2Tylor Rebelo1185247150.9082.73692415031534121399440.78642
3Linus Smeds85413050.9172.4347230219122951320330.76025
4Willy Welsford50172470.8993.082943021511488864210.69226
5Graeme Bourdeau29121330.8783.6815810197795375110.73315

Hornets 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
180273106475212226-144013130435211911544014180212393111-18892123465582530749520235068883680367228081463719111744324.71%1704573.53%3809156351.76%812153352.97%548107051.21%172798416507381497742
280293506541214221-740151803220110112-240141703321104109-5842143585723045718811244869283589342242579864918871504127.33%1834873.77%0798153951.85%878170651.47%526108448.52%170097516877291458715
380203702876184242-58409180143590119-294011190144194123-29721843064903034746719240967985784778252488853118411542616.88%1885371.81%2803162149.54%815166948.83%544111548.79%170298017347271444713
480282207117525222329401611025511351062940121105624117117010025241366530429510120251874786187776254284331418101493020.13%872175.86%1828163550.64%816163549.91%618112954.74%1735102517267041419713
580362807513240218224017170311111910613401911044021211129962403886281560878512249273490782246248890247717391734324.86%711776.06%2819158851.57%795162348.98%552112049.29%170299817236971415717
Total Saison régulière40014015302833262011021130-28200707701315169573558152007076015181011529572-43441110218112913121021140143682122173540429642423091225942452608918880018322.88%69918473.68%84057794651.06%4116816650.40%2788551850.53%856949648522359672363602
Séries éliminatoires
4624000001620-431200000913-431200000770416264200655017958596202136761318112.50%30100.00%05311944.54%6114043.57%489749.48%121711365210251
Total Séries éliminatoires624000001620-431200000913-431200000770416264200655017958596202136761318112.50%30100.00%05311944.54%6114043.57%489749.48%121711365210251

Hornets 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
1Gennady Oginsky6516-1014123414.71%113422.50000100001030.00%00.8900
2Emilio Mabry6325001102512.00%110918.25011000001064.00%00.9100
3Kirill Karpyuk6224-30381315.38%49816.41000000000071.43%00.8100
4Oskar Carlsson6224-305121711.76%29716.20000000000050.91%00.8200
5Maitland Cable6134022413128.33%110417.41011100000048.19%00.7700

Hornets 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
1Gleb Zazulenko52300.9073.4229800171831010000
2Linus Smeds10100.9003.055900330140000