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Hornets
GP: 35 | W: 20 | L: 13 | OTL: 2 | P: 42
GF: 116 | GA: 103 | PP%: 25.97% | PK%: 63.33%
DG: Kieran Green | Morale : 50 | Moyenne d’équipe : 69
Prochains matchs #456 vs Auroras

Centre de jeu
Spartans
16-10-9, 41pts
2
3 Hornets
20-13-2, 42pts
Team Stats
SOL1SéquenceW4
9-6-4Fiche domicile12-6-1
7-4-5Fiche domicile8-7-1
5-1-4Derniers 10 matchs6-4-0
3.26Buts par match 3.31
3.31Buts contre par match 2.94
28.57%Pourcentage en avantage numérique25.97%
74.47%Pourcentage en désavantage numérique63.33%
Hornets
20-13-2, 42pts
4
1 Wild Wings
12-17-6, 30pts
Team Stats
W4SéquenceL3
12-6-1Fiche domicile5-7-5
8-7-1Fiche domicile7-10-1
6-4-0Derniers 10 matchs5-5-0
3.31Buts par match 3.03
2.94Buts contre par match 3.80
25.97%Pourcentage en avantage numérique25.00%
63.33%Pourcentage en désavantage numérique69.89%
Hornets
20-13-2, 42pts
2026-08-14
Auroras
19-13-3, 41pts
Statistiques d’équipe
W4SéquenceW3
12-6-1Fiche domicile10-3-1
8-7-1Fiche visiteur9-10-2
6-4-010 derniers matchs7-3-0
3.31Buts par match 3.46
2.94Buts contre par match 3.46
25.97%Pourcentage en avantage numérique34.25%
63.33%Pourcentage en désavantage numérique71.68%
Hornets
20-13-2, 42pts
2026-08-16
Crusaders
15-18-2, 32pts
Statistiques d’équipe
W4SéquenceL2
12-6-1Fiche domicile11-6-1
8-7-1Fiche visiteur4-12-1
6-4-010 derniers matchs5-4-1
3.31Buts par match 3.09
2.94Buts contre par match 3.09
25.97%Pourcentage en avantage numérique25.40%
63.33%Pourcentage en désavantage numérique75.47%
Hornets
20-13-2, 42pts
2026-08-17
Guppies
10-20-5, 25pts
Statistiques d’équipe
W4SéquenceL2
12-6-1Fiche domicile7-10-3
8-7-1Fiche visiteur3-10-2
6-4-010 derniers matchs1-7-2
3.31Buts par match 2.66
2.94Buts contre par match 2.66
25.97%Pourcentage en avantage numérique23.73%
63.33%Pourcentage en désavantage numérique70.49%
Meneurs d'équipe
Buts
Artsyom Marakow
15
Passes
Daniel Lohse
18
Points
Artsyom Marakow
28
Plus/Moins
Boris Potokov
10
Victoires
Tylor Rebelo
13
Pourcentage d’arrêts
Branislav Herceg
0.916

Statistiques d’équipe
Buts pour
116
3.31 GFG
Tirs pour
1072
30.63 Avg
Pourcentage en avantage numérique
26.0%
20 GF
Début de zone offensive
35.7%
Buts contre
103
2.94 GAA
Tirs contre
1132
32.34 Avg
Pourcentage en désavantage numérique
63.3%%
11 GA
Début de la zone défensive
38.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance3,973
Billets de saison1,250


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite Contrat43 / 55
Espoirs8


Historique d'équipe

Saison actuelle20-13-2 (42PTS)
Historique214-166-55 (0.492%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)4 - 8 (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 Wourms25X100.0034459987686392998397623777655935507602931,400,000$
2Artsyom Marakow (R)37X100.006445688799759196465566535362846450740222900,000$
3Boris Potokov (R)0X100.0079618483858176927445756789767473507401831,000,000$
4Easton Jamieson (A)17X100.0059499073789995686373613733778736507302711,200,000$
5Oskar Carlsson (A)31X100.00533499859463598896754557759244335073X02711,600,000$
6Rylan Meunier65X100.0063408974858855685661689735989252507302611,000,000$
7Adalbert Berlin7X100.0038549161976170689897437492596924507303111,100,000$
8Maitland Cable51X100.00996493576092768892823741489479050720371835,000$
9Antonio Donohoe (R)58X100.0032566165628557707880898456899151507202411,200,000$
10Daniel Lohse (R)0X100.003730875446929770619539607533767250690213800,000$
11Lynn Manseau (R)0X100.008727886082676462485262847828357250670213800,000$
12Finlay Hellgren (R)22X100.005131887081465980723455868685465950630232750,000$
13Connie Leather (R)66X100.0097408372596257922563617163599761506802331,600,000$
14Andre-Philippe Scarpone (R)0X100.009075556959957592254954529233506350680231825,000$
15Bohdan Palamarchuk43X100.0089355872399554672580477739526152506702521,100,000$
16Baron Knowles0X99.006739635872687289253970808797615650660261700,000$
17Akke Pyoriainen42X100.005339768558766272255948498952571350610341950,000$
Rayé
1Adel Ferrantino (R)27X100.00454657675968747164586153505575625062X0232844,507$
2Tony Delaurentis (R)56X100.004260597526608664504575928178356950620233800,000$
3Yevheniy Yakovenko (R)44X92.064432895440666874256162549166886950600235800,000$
MOYENNE D’ÉQUIPE99.55614579706775727957655965696868515069
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
1Tylor Rebelo70100.007455796976986891646792667123507403111,510,000$
2Branislav Herceg (R)4899.0076697778666677728970718476485074X0192900,000$
Rayé
MOYENNE D’ÉQUIPE99.5075627874718273827769827574365074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Taylor57747983968057USA5131,000,000$


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
1Aiden WourmsHornets (DOC)RW33111728-95504099285311.11%1560018.21336843000002053.41%883710000.9302001030
2Artsyom MarakowHornets (DOC)RW301513282403937123436312.20%854618.212571351000004129.17%24438011.0322000311
3Oskar CarlssonHornets (DOC)C35151025-41010134895274415.79%1352314.9542613600112202056.92%4411312000.9600101203
4Daniel LohseHornets (DOC)C357182500034647103714.89%1254215.512242290110101136.30%40567000.9211000000
5Connie LeatherHornets (DOC)D3531720517591524519236.67%3176121.77145262000017100%01328000.5300001221
6Boris PotokovHornets (DOC)C17811191020453261203513.11%930517.9700012000020045.15%206118001.2400000122
7Maitland CableHornets (DOC)LW359817210101003872185012.50%956316.09101116000041350.00%26812000.6000200130
8Easton JamiesonHornets (DOC)LW3541115-70029234314329.30%1458116.601458621011211140.54%37137000.5212000010
9Finlay HellgrenHornets (DOC)C298715500134946142217.39%1242214.5600001000011045.05%29358000.7100000010
10Antonio DonohoeHornets (DOC)RW3511415-316101248100206911.00%1756516.15000211000001164.00%251716000.5301011003
11Bohdan PalamarchukHornets (DOC)D351910-5175110673811172.63%4973020.88134948000116000%0825000.2700010100
12Rylan MeunierHornets (DOC)LW275510400213139132512.82%1039914.802026371012132142.11%19911000.5001000000
13Akke PyoriainenHornets (DOC)D291897002226199115.26%2950017.250000200009000%059000.3600000000
14Siegfried KlattDockheadsD262790007483716135.41%2750119.29033136011017100%01120000.3600000002
15Vladislav RalinDockheadsD24189-811571514022102.50%3759424.7702273700001000%01015000.3000010002
16Lynn ManseauHornets (DOC)RW3527912057382318118.70%846213.22011028000000026.67%3018000.3900000001
17Adalbert BerlinHornets (DOC)C34088227153443110150%93149.26011116000040053.40%20637000.5100111000
18Jens LiljegrenDockheadsD33156-8155116743410182.94%2975022.73011360000019010%01422000.1600010100
19Adel FerrantinoHornets (DOC)C91452161079184175.56%413314.7900000000000137.78%9053000.7500011010
20Tony DelaurentisHornets (DOC)LW25325-1409343215199.38%625710.2900001000000033.33%1574000.3900000001
21Yevheniy YakovenkoHornets (DOC)D2413480041911829.09%1329812.440000000000100%023000.2700000001
22Brigham EveleighDockheadsC6314-21751291251325.00%49415.83202313000120044.55%10121000.8401010100
23Baron KnowlesHornets (DOC)D21120002432333.33%34422.431011200001000%002000.8900000100
24Joachim PickeringDockheadsD11121000232033.33%21616.800000000000000%000002.3800000000
25Andre-Philippe ScarponeHornets (DOC)D1000100221000%02222.970000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne630114185299317385788871107235860210.63%3701053516.72203151816272357166181046.41%2006243246010.57410476131417
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
1Tylor RebeloHornets (DOC)2413720.9062.9114040068725296100.71472213121
2Branislav HercegHornets (DOC)137600.9162.847182034407229101.00031322320
Statistiques d’équipe totales ou en moyenne37201320.9102.88212220102113252520103535441


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)C311997-02-12GERNo181 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$110,000$64,354$No---------------------------
Adel FerrantinoHornets (DOC)C232005-03-12USAYes239 Lbs6 ft6NoYesFree AgentNoNo22024-06-05FalseFalsePro & Farm844,507$84,451$49,407$No844,507$--------844,507$--------No--------
Aiden WourmsHornets (DOC)RW291999-08-07CANNo184 Lbs6 ft0NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,400,000$140,000$81,905$No1,400,000$1,400,000$-------1,400,000$1,400,000$-------NoNo-------
Akke PyoriainenHornets (DOC)D341994-07-19FINNo165 Lbs5 ft8NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm950,000$95,000$55,578$No---------------------------
Andre-Philippe ScarponeHornets (DOC)D232005-07-01CANYes184 Lbs5 ft8NoNoFree AgentNoNo12026-08-14FalseFalsePro & Farm825,000$82,500$48,265$No---------------------------
Antonio DonohoeHornets (DOC)RW242004-03-08CANYes243 Lbs6 ft5NoNoAssign Manually2025-06-11NoNo12025-10-26FalseFalsePro & Farm1,200,000$120,000$70,204$No---------------------------
Artsyom MarakowHornets (DOC)RW222006-09-12BLRYes214 Lbs6 ft3NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$52,653$No900,000$--------900,000$--------No--------
Baron KnowlesHornets (DOC)D262002-04-16USANo187 Lbs5 ft11NoNoFree AgentNoNo12026-08-13FalseFalsePro & Farm700,000$70,000$40,952$No---------------------------
Bohdan PalamarchukHornets (DOC)D252003-09-27UKRNo236 Lbs6 ft6NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm1,100,000$110,000$64,354$No1,100,000$--------1,100,000$--------No--------
Boris PotokovHornets (DOC)C182010-02-22RUSYes198 Lbs6 ft4NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$100,000$58,503$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Branislav HercegHornets (DOC)G192009-01-14SVKYes164 Lbs6 ft2NoYesAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$52,653$No900,000$--------900,000$--------No--------
Connie LeatherHornets (DOC)D232005-11-14USAYes233 Lbs6 ft8NoNoN/ANoNo32026-05-03FalseFalsePro & Farm1,600,000$160,000$93,605$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------
Daniel LohseHornets (DOC)C212007-06-08DENYes240 Lbs6 ft5NoNoDraftNoNo32026-05-27FalseFalsePro & Farm800,000$80,000$46,803$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Easton JamiesonHornets (DOC)LW272001-03-09CANNo165 Lbs5 ft7NoNoFree AgentNoNo12025-02-23FalseFalsePro & Farm1,200,000$120,000$70,204$No---------------------------
Finlay HellgrenHornets (DOC)C232005-05-14FINYes181 Lbs5 ft6NoNoFree AgentNoNo22024-07-16FalseFalsePro & Farm750,000$75,000$43,878$No750,000$--------750,000$--------No--------
Lynn ManseauHornets (DOC)RW212007-06-19CANYes179 Lbs5 ft8NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$46,803$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Maitland CableHornets (DOC)LW371991-04-03USANo186 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm835,000$83,500$48,850$No---------------------------
Oskar CarlssonHornets (DOC)C272001-07-25SWENo220 Lbs6 ft7NoYesN/ANoNo1FalseFalsePro & Farm1,600,000$160,000$93,605$No---------------------------
Rylan MeunierHornets (DOC)LW262002-03-18CANNo204 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,000,000$100,000$58,503$No---------------------------
Tony DelaurentisHornets (DOC)LW232005-12-22CANYes216 Lbs5 ft11NoNoN/ANoNo32026-05-03FalseFalsePro & Farm800,000$80,000$46,803$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Tylor RebeloHornets (DOC)G311997-09-17CANNo177 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,510,000$151,000$88,340$No---------------------------
Yevheniy Yakovenko (sur la masse salariale)Hornets (DOC)D232005-10-13UKRYes185 Lbs6 ft2NoNoN/ANoNo52026-05-03FalseFalsePro & Farm800,000$0$0$Yes800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.27199 Lbs6 ft01.951,027,932$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Easton JamiesonBoris PotokovAiden Wourms25014
2Rylan MeunierOskar CarlssonArtsyom Marakow25014
3Maitland CableAdalbert BerlinAntonio Donohoe25023
4Lynn ManseauDaniel LohseFinlay Hellgren25023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andre-Philippe ScarponeConnie Leather33032
2Bohdan PalamarchukBaron Knowles32032
3Akke Pyoriainen31032
4Andre-Philippe ScarponeConnie Leather4032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Easton JamiesonBoris PotokovAiden Wourms50005
2Rylan MeunierOskar CarlssonArtsyom Marakow50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andre-Philippe ScarponeConnie Leather50005
2Bohdan PalamarchukBaron Knowles50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boris PotokovEaston Jamieson50032
2Oskar CarlssonRylan Meunier50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andre-Philippe ScarponeConnie Leather50032
2Bohdan PalamarchukBaron Knowles50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Boris Potokov50032Andre-Philippe ScarponeConnie Leather50032
2Oskar Carlsson50122Bohdan PalamarchukBaron Knowles50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Boris PotokovEaston Jamieson50122
2Oskar CarlssonRylan Meunier50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andre-Philippe ScarponeConnie Leather50122
2Bohdan PalamarchukBaron Knowles50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Easton JamiesonBoris PotokovAiden WourmsAndre-Philippe ScarponeConnie Leather
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rylan MeunierOskar CarlssonArtsyom MarakowBohdan PalamarchukBaron Knowles
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rylan Meunier, Oskar Carlsson, Adalbert BerlinRylan Meunier, Oskar CarlssonRylan Meunier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Baron Knowles, Akke Pyoriainen, Baron KnowlesBaron Knowles, Akke Pyoriainen
Tirs de pénalité
Aiden Wourms, Artsyom Marakow, Boris Potokov, Easton Jamieson, Rylan Meunier
Gardien
#1 : Branislav Herceg, #2 : Tylor Rebelo
Lignes d’attaque personnalisées en prolongation
Aiden Wourms, Artsyom Marakow, Boris Potokov, Easton Jamieson, Rylan Meunier, Oskar Carlsson, Adalbert Berlin, Antonio Donohoe, Maitland Cable, Daniel Lohse
Lignes de défense personnalisées en prolongation
Andre-Philippe Scarpone, Connie Leather, Bohdan Palamarchuk, Baron Knowles, 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
TotalDomicile Visiteur
# 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 RI
1Auroras21100000743211000007430000000000020.5007111800245331107030440334629576105110440.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
2Bulldogs11000000413000000000001100000041321.000461000245331103030440334629291010234125.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
3Crusaders11000000752110000007520000000000021.000710170024533110303044033462937902611100.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
4Devils403010001114-32010100056-12020000068-220.2501118290024533110111304403346291485332728112.50%6350.00%032570646.03%34975446.29%25751749.71%739428764310622318
5Drillers1010000023-11010000023-10000000000000.00022400245331102930440334629309418300.00%2150.00%032570646.03%34975446.29%25751749.71%739428764310622318
6Guppies320010001248210010006331100000061561.0001217290024533110113304403346299934197810440.00%20100.00%032570646.03%34975446.29%25751749.71%739428764310622318
7Hydra1010000024-2000000000001010000024-200.000224002453311027304403346292490245120.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
8Jacks11000000422110000004220000000000021.0004610002453311045304403346294115220200.00%110.00%032570646.03%34975446.29%25751749.71%739428764310622318
9Jazz10000010431000000000001000001043121.000459002453311032304403346293212236200.00%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
10Kings10001000431000000000001000100043121.000481200245331103130440334629361272711100.00%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
11Northmen10001000211100010002110000000000021.000235002453311030304403346293215226100.00%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
12Outlaws1010000035-21010000035-20000000000000.000369002453311033304403346293814213000%110.00%032570646.03%34975446.29%25751749.71%739428764310622318
13Phantoms311001001011-1110000005322010010058-330.50010182800245331107730440334629953530719222.22%5260.00%032570646.03%34975446.29%25751749.71%739428764310622318
14Schooners1010000012-1000000000001010000012-100.0001120024533110353044033462941107173133.33%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
15Spartans21001000743100010003211100000042241.00071219002453311050304403346294811742200.00%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
16Stingers11000000431110000004310000000000021.0004610002453311034304403346292999182150.00%2150.00%132570646.03%34975446.29%25751749.71%739428764310622318
17Swamp Puppies1010000012-11010000012-10000000000000.00011200245331103230440334629357517100.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
18Vipers1010000027-51010000027-50000000000000.0002460024533110253044033462932132126000%3166.67%132570646.03%34975446.29%25751749.71%739428764310622318
19Wild Wings11000000413000000000001100000041321.00047110024533110333044033462929110212150.00%000%032570646.03%34975446.29%25751749.71%739428764310622318
20Wolfpack1010000024-2000000000001010000024-200.000235002453311036304403346293552182150.00%110.00%032570646.03%34975446.29%25751749.71%739428764310622318
21Wolverines41101010151232000101053221100000109160.750152540002453311010630440334629127492896116.67%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
22Yeti210000018801000000134-11100000054130.75081422002453311063304403346295822255300.00%10100.00%032570646.03%34975446.29%25751749.71%739428764310622318
Total35121306121116103131966050115953616670111057507420.60011618530100245331101072304403346291132370175788772025.97%301163.33%232570646.03%34975446.29%25751749.71%739428764310622318
_Since Last GM Reset35121306121116103131966050115953616670111057507420.60011618530100245331101072304403346291132370175788772025.97%301163.33%232570646.03%34975446.29%25751749.71%739428764310622318
_Vs Conference2471004111807731445030114240210350110038371260.54280132212002453311073930440334629796267133538541425.93%241058.33%132570646.03%34975446.29%25751749.71%739428764310622318
_Vs Division73402100261883210200011654130010015123110.786264066002453311022230440334629226815118521628.57%8275.00%032570646.03%34975446.29%25751749.71%739428764310622318

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3542W41161853011072113237017578800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3512136121116103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
196650115953
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
166711105750
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
772025.97%301163.33%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
3044033462924533110
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
32570646.03%34975446.29%25751749.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
739428764310622318


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 - 2026-06-143Hornets6Guppies1WSommaire du match
3 - 2026-06-1622Auroras1Hornets5WSommaire du match
5 - 2026-06-1837Hornets2Wolfpack4LSommaire du match
6 - 2026-06-1945Drillers3Hornets2LSommaire du match
8 - 2026-06-2156Yeti4Hornets3LXXSommaire du match
9 - 2026-06-2267Hornets3Devils4LSommaire du match
11 - 2026-06-2480Northmen1Hornets2WXSommaire du match
13 - 2026-06-26104Hornets5Yeti4WSommaire du match
15 - 2026-06-28108Guppies2Hornets3WXSommaire du match
17 - 2026-06-30128Wolverines2Hornets3WXSommaire du match
18 - 2026-07-01136Hornets1Schooners2LSommaire du match
20 - 2026-07-03146Vipers7Hornets2LSommaire du match
22 - 2026-07-05160Stingers3Hornets4WSommaire du match
23 - 2026-07-06171Jacks2Hornets4WSommaire du match
25 - 2026-07-08184Devils4Hornets2LSommaire du match
27 - 2026-07-10203Hornets2Phantoms3LXSommaire du match
29 - 2026-07-12213Guppies1Hornets3WSommaire du match
30 - 2026-07-13225Hornets4Spartans2WSommaire du match
32 - 2026-07-15236Crusaders5Hornets7WSommaire du match
34 - 2026-07-17252Outlaws5Hornets3LSommaire du match
36 - 2026-07-19265Hornets2Hydra4LSommaire du match
38 - 2026-07-21283Hornets4Kings3WXSommaire du match
40 - 2026-07-23299Hornets1Wolverines3LSommaire du match
41 - 2026-07-24303Phantoms3Hornets5WSommaire du match
43 - 2026-07-26316Hornets4Jazz3WXXSommaire du match
44 - 2026-07-27327Auroras3Hornets2LSommaire du match
47 - 2026-07-30349Hornets3Phantoms5LSommaire du match
48 - 2026-07-31354Hornets3Devils4LSommaire du match
50 - 2026-08-02370Wolverines1Hornets2WXXSommaire du match
51 - 2026-08-03378Hornets4Bulldogs1WSommaire du match
54 - 2026-08-06398Swamp Puppies2Hornets1LSommaire du match
55 - 2026-08-07408Devils2Hornets3WXSommaire du match
57 - 2026-08-09429Hornets9Wolverines6WSommaire du match
59 - 2026-08-11438Spartans2Hornets3WXSommaire du match
61 - 2026-08-13455Hornets4Wild Wings1WSommaire du match
62 - 2026-08-14456Hornets-Auroras-
64 - 2026-08-16470Hornets-Crusaders-
65 - 2026-08-17483Hornets-Guppies-
67 - 2026-08-19497Hornets-Devils-
69 - 2026-08-21509Guppies-Hornets-
71 - 2026-08-23526Hornets-Phantoms-
73 - 2026-08-25544Bulldogs-Hornets-
75 - 2026-08-27555Wild Wings-Hornets-
76 - 2026-08-28562Hornets-Jacks-
78 - 2026-08-30580Hornets-Rock-
80 - 2026-09-01598Hornets-Yeti-
82 - 2026-09-03607Outlaws-Hornets-
83 - 2026-09-04616Phantoms-Hornets-
85 - 2026-09-06630Jazz-Hornets-
87 - 2026-09-08646Hydra-Hornets-
89 - 2026-09-10657Kings-Hornets-
90 - 2026-09-11669Hornets-Northmen-
92 - 2026-09-13683Hornets-Rampage-
93 - 2026-09-14690Schooners-Hornets-
95 - 2026-09-16702Hornets-Jacks-
97 - 2026-09-18719Hornets-Phantoms-
99 - 2026-09-20730Vipers-Hornets-
100 - 2026-09-21741Hornets-Guppies-
103 - 2026-09-24758Hornets-Auroras-
104 - 2026-09-25767Jacks-Hornets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27785Hornets-Swamp Puppies-
108 - 2026-09-29797Hornets-Outlaws-
109 - 2026-09-30801Hornets-Comets-
111 - 2026-10-02817Rampage-Hornets-
113 - 2026-10-04836Hornets-Vipers-
114 - 2026-10-05840Wolfpack-Hornets-
116 - 2026-10-07852Hornets-Devils-
118 - 2026-10-09866Phantoms-Hornets-
120 - 2026-10-11878Devils-Hornets-
122 - 2026-10-13895Hornets-Drillers-
123 - 2026-10-14899Guppies-Hornets-
127 - 2026-10-18932Hornets-Stingers-
131 - 2026-10-22954Guppies-Hornets-
134 - 2026-10-25972Phantoms-Hornets-
135 - 2026-10-26982Hornets-Phantoms-
137 - 2026-10-28992Hornets-Guppies-
139 - 2026-10-301000Devils-Hornets-
142 - 2026-11-021018Hornets-Devils-
144 - 2026-11-041028Comets-Hornets-
145 - 2026-11-051034Rock-Hornets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets4015
Assistance39,27736,202
Assistance PCT68.91%95.27%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
21 3973 - 79.45% 144,650$2,748,342$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,447,338$ 2,181,451$ 2,181,451$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,181,451$ 1,032,372$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,037,641$ 86 21,643$ 1,861,298$




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 Wourms28491128219-36168625180511.30%77479816.9022365863000022750.54%00.91926
2Gennady Oginsky3068994183-397049539688810.02%129495016.1817244154000016640.54%10.741033
3Oskar Carlsson3318298180-122419041379210.35%114485714.6820103050011716755.45%00.7403
4Maitland Cable28367100167-89363140151912.91%92472516.7010182835303814754.29%00.71310
5Easton Jamieson369569615212553474015999.35%84570315.4611162735123105545.37%00.5313

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
1Tylor Rebelo1426554170.9072.76832815038341371695540.77649
2Gleb Zazulenko1206431220.9212.4771526429437372024630.69265
3Linus Smeds85413050.9172.4347230219122951320330.76025
4Willy Welsford50172470.8993.082943021511488864210.69226
5Branislav Herceg30151410.9093.0016802284927515101.0003

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
6351213061211161031319660501159536166701110575074211618530100245331101072304403346291132370175788772025.97%301163.33%232570646.03%34975446.29%25751749.71%739428764310622318
Total Saison régulière43515216603434282112181233-152197683018151710632611212167683016191111586622-36483121819963214121023545446792132893844469945883381339146152783997687720323.15%72919573.25%104382865250.65%4465892050.06%3045603550.46%930853939286390778583921
Séries éliminatoires
4624000001620-431200000913-431200000770416264200655017958596202136761318112.50%30100.00%05311944.54%6114043.57%489749.48%121711365210251
5624000001316-33120000069-33120000077041320330036401885871590208722312013323.08%40100.00%06714047.86%6914148.94%388246.34%123731365010050
Total Séries éliminatoires1248000002936-7624000001522-762400000141408294675009119036711613012104211392925121419.05%70100.00%012025946.33%13028146.26%8617948.04%244145273102202101

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 Oginsky126390018194912.24%421718.09000100001027.27%00.8300
2Maitland Cable122571124022229.09%118915.82011100001048.57%00.7400
3Emilio Mabry12527-705204910.20%121217.70112300001158.06%00.6600
4Antonio Donohoe6235101101612.50%68714.5100000000100%01.1500
5Oskar Carlsson12325-30523319.68%418115.16000100000052.90%00.5500

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 Zazulenko104600.9123.1355600293311830000
2Tylor Rebelo10000.9551.50400012290000
3Linus Smeds10100.9003.055900330140000
4Branislav Herceg10100.9213.055900338200000