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Hornets
GP: 50 | W: 26 | L: 19 | OTL: 5 | P: 57
GF: 162 | GA: 151 | PP%: 21.43% | PK%: 67.35%
DG: Kieran Green | Morale : 50 | Moyenne d’équipe : 69
Prochains matchs #657 vs Kings

Centre de jeu
Jazz
20-23-7, 47pts
4
3 Hornets
26-19-5, 57pts
Team Stats
L1SéquenceSOL1
11-12-3Fiche domicile14-10-2
9-11-4Fiche domicile12-9-3
4-5-1Derniers 10 matchs3-5-2
3.10Buts par match 3.24
3.56Buts contre par match 3.02
23.20%Pourcentage en avantage numérique21.43%
78.95%Pourcentage en désavantage numérique67.35%
Hydra
28-18-4, 60pts
4
3 Hornets
26-19-5, 57pts
Team Stats
W2SéquenceSOL1
15-8-1Fiche domicile14-10-2
13-10-3Fiche domicile12-9-3
7-3-0Derniers 10 matchs3-5-2
3.00Buts par match 3.24
2.86Buts contre par match 3.02
22.61%Pourcentage en avantage numérique21.43%
74.44%Pourcentage en désavantage numérique67.35%
Kings
25-15-10, 60pts
2026-09-10
Hornets
26-19-5, 57pts
Statistiques d’équipe
W1SéquenceSOL1
13-8-4Fiche domicile14-10-2
12-7-6Fiche visiteur12-9-3
7-2-110 derniers matchs3-5-2
3.36Buts par match 3.24
3.10Buts contre par match 3.24
28.70%Pourcentage en avantage numérique21.43%
64.58%Pourcentage en désavantage numérique67.35%
Hornets
26-19-5, 57pts
2026-09-11
Northmen
34-14-3, 71pts
Statistiques d’équipe
SOL1SéquenceW1
14-10-2Fiche domicile14-10-1
12-9-3Fiche visiteur20-4-2
3-5-210 derniers matchs5-5-0
3.24Buts par match 3.47
3.02Buts contre par match 3.47
21.43%Pourcentage en avantage numérique17.70%
67.35%Pourcentage en désavantage numérique65.33%
Hornets
26-19-5, 57pts
2026-09-13
Rampage
26-20-5, 57pts
Statistiques d’équipe
SOL1SéquenceL1
14-10-2Fiche domicile14-7-2
12-9-3Fiche visiteur12-13-3
3-5-210 derniers matchs4-6-0
3.24Buts par match 3.20
3.02Buts contre par match 3.20
21.43%Pourcentage en avantage numérique23.53%
67.35%Pourcentage en désavantage numérique71.25%
Meneurs d'équipe
Buts
Artsyom Marakow
23
Passes
Aiden Wourms
26
Points
Artsyom Marakow
43
Plus/Moins
Rylan Meunier
11
Victoires
Tylor Rebelo
17
Pourcentage d’arrêts
Tylor Rebelo
0.906

Statistiques d’équipe
Buts pour
162
3.24 GFG
Tirs pour
1560
31.20 Avg
Pourcentage en avantage numérique
21.4%
24 GF
Début de zone offensive
36.0%
Buts contre
151
3.02 GAA
Tirs contre
1575
31.50 Avg
Pourcentage en désavantage numérique
67.3%%
16 GA
Début de la zone défensive
37.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance3,985
Billets de saison1,250


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite Contrat42 / 55
Espoirs8


Historique d'équipe

Saison actuelle26-19-5 (57PTS)
Historique220-172-56 (0.491%)
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$
3Easton Jamieson (A)17X100.0059499073789995686373613733778736507302711,200,000$
4Rylan Meunier65X100.0063408974858855685661689735989252507302611,000,000$
5Adalbert Berlin7X100.0038549161976170689897437492596924507303111,100,000$
6Maitland Cable51X100.00996493576092768892823741489479050720371835,000$
7Antonio Donohoe (R)58X100.0032566165628557707880898456899151507202411,200,000$
8Daniel Lohse (R)0X100.003730875446929770619539607533767250690213800,000$
9Lynn Manseau (R)0X100.008727886082676462485262847828357250670213800,000$
10Finlay Hellgren (R)22X100.005131887081465980723455868685465950630232750,000$
11Adel Ferrantino (R)27X100.00454657675968747164586153505575625062X0232844,507$
12Tony Delaurentis (R)56X100.004260597526608664504575928178356950620233800,000$
13Vladislav Ralin (R)55X100.008344769175917473255834623583746750720222800,000$
14Jens Liljegren (R)35X100.0092587266608165712574587171465260507002421,900,000$
15Siegfried Klatt (R)85X100.0053289689708957782547578557753770507002251,950,000$
16Connie Leather (R)66X100.0097408372596257922563617163599761506802331,600,000$
17Andre-Philippe Scarpone (R)0X100.009075556959957592254954529233506350680231825,000$
18Baron Knowles0X100.006739635872687289253970808797615650660261700,000$
Rayé
1Joachim Pickering (R)8X100.005141926446615391258338869484566050640224950,000$
2Yevheniy Yakovenko (R)44X100.004432895440666874256162549166886950600235800,000$
3Dayton Schwindt (R)30X100.002750707428765761255867948192596250600231700,000$
MOYENNE D’ÉQUIPE100.00604579706475717749655869686967555068
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)48100.0076697778666677728970718476485074X0192900,000$
Rayé
1Nikolas Jakubko (R)33100.00637359607375635475566464526550650221940,000$
MOYENNE D’ÉQUIPE100.0071667269728069727664767166455071
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
1Artsyom MarakowHornets (DOC)RW452320439806249167649613.77%1377717.292571478000005135.29%345812111.1123000513
2Aiden WourmsHornets (DOC)RW48152641-1455454150408410.00%2086117.943691172000002053.47%1015212000.9503001030
3Daniel LohseHornets (DOC)C5013233695566776205417.11%1777215.462354480110192136.93%566713000.9311100010
4Maitland CableHornets (DOC)LW501214263151512549109277011.01%978315.67101119000171354.55%331313000.6600300330
5Connie LeatherHornets (DOC)D44319224175124655519265.45%4191720.86145272000026100%01634000.4800001321
6Easton JamiesonHornets (DOC)LW5071421-1155503463194211.11%1782716.5524610921011351242.31%52169000.5113001110
7Boris PotokovDockheadsC201011211040524171263814.08%1035317.6910149000040045.30%234128001.1900000122
8Finlay HellgrenHornets (DOC)C4391019400256868182913.24%1462014.4300002000021048.09%445710000.6100000010
9Antonio DonohoeHornets (DOC)RW5014519-32820196515928968.81%2278615.74000216000002160.00%352221000.4801013103
10Adalbert BerlinHornets (DOC)C49414181271511795518257.27%1756011.441232390000162054.05%407813000.6400111002
11Rylan MeunierHornets (DOC)LW42710171155374762213511.29%1464115.282027631013252142.86%351616000.5301010002
12Lynn ManseauHornets (DOC)RW5031215-32088493721198.11%1466113.24011029000001033.33%39210000.4500000101
13Siegfried KlattHornets (DOC)D3631013-70011595518195.45%3969019.17033143011125100%01230000.3800000002
14Adel FerrantinoHornets (DOC)C213811-1282017244213377.14%629414.0400004000030137.70%244146000.7500112020
15Tony DelaurentisHornets (DOC)LW346511-42010155357223710.53%1037911.1500002000000038.89%18139000.5800200011
16Vladislav RalinHornets (DOC)D30189-713586594526162.22%4172124.0502274200007000%01320000.2500010002
17Jens LiljegrenHornets (DOC)D37178-7175125773710212.70%3484522.84011365000025010%02026000.1900010100
18Andre-Philippe ScarponeHornets (DOC)D16178352304617136137.69%1133921.2302202800006000%046000.4700222020
19Baron KnowlesHornets (DOC)D172463603431194710.53%2134520.3511232500019000%0316000.3500000110
20Yevheniy YakovenkoHornets (DOC)D2613490042112838.33%1532412.480000000000100%033000.2500000001
21Brigham EveleighDockheadsC6314-21751291251325.00%49415.83202313000120044.55%10121000.8401010100
22Joachim PickeringHornets (DOC)D11121000232033.33%21616.800000000000000%000002.3800000000
23Christophe PrybyshDockheadsD2000000033100%63618.480000600000000%00000000000000
24Dayton SchwindtHornets (DOC)D8000-4000169050%510513.220000000000000%04400000000000
Statistiques d’équipe totales ou en moyenne77514223237442741509531038137943678510.30%4021276116.47183452747772248221221144.71%2344317292110.5941310911182020
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)3017920.9062.9317640086914368200.71472821122
2Branislav HercegHornets (DOC)2291030.9062.9412442161650363100.83362228420
3Nikolas JakubkoHornets (DOC)10000.8187.0617002114000001000
Statistiques d’équipe totales ou en moyenne53261950.9052.96302521149157573530135050542


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$44,150$No---------------------------
Adel FerrantinoHornets (DOC)C232005-03-12USAYes239 Lbs6 ft6NoYesFree AgentNoNo22024-06-05FalseFalsePro & Farm844,507$84,451$33,895$No844,507$--------844,507$--------No--------
Aiden WourmsHornets (DOC)RW291999-08-07CANNo184 Lbs6 ft0NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,400,000$140,000$56,190$No1,400,000$1,400,000$-------1,400,000$1,400,000$-------NoNo-------
Andre-Philippe ScarponeHornets (DOC)D232005-07-01CANYes184 Lbs5 ft8NoNoFree AgentNoNo12026-08-14FalseFalsePro & Farm825,000$82,500$33,112$No---------------------------
Antonio DonohoeHornets (DOC)RW242004-03-08CANYes243 Lbs6 ft5NoNoAssign Manually2025-06-11NoNo12025-10-26FalseFalsePro & Farm1,200,000$120,000$48,163$No---------------------------
Artsyom MarakowHornets (DOC)RW222006-09-12BLRYes214 Lbs6 ft3NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$36,122$No900,000$--------900,000$--------No--------
Baron KnowlesHornets (DOC)D262002-04-16USANo187 Lbs5 ft11NoNoFree AgentNoNo12026-08-13FalseFalsePro & Farm700,000$70,000$28,095$No---------------------------
Branislav HercegHornets (DOC)G192009-01-14SVKYes164 Lbs6 ft2NoYesAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$36,122$No900,000$--------900,000$--------No--------
Connie LeatherHornets (DOC)D232005-11-14USAYes233 Lbs6 ft8NoNoN/ANoNo32026-05-03FalseFalsePro & Farm1,600,000$160,000$64,218$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$32,109$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Dayton SchwindtHornets (DOC)D232005-12-27CANYes174 Lbs5 ft8NoNoFree AgentNoNo12026-08-16FalseFalsePro & Farm700,000$70,000$28,095$No---------------------------
Easton JamiesonHornets (DOC)LW272001-03-09CANNo165 Lbs5 ft7NoNoFree AgentNoNo12025-02-23FalseFalsePro & Farm1,200,000$120,000$48,163$No---------------------------
Finlay HellgrenHornets (DOC)C232005-05-14FINYes181 Lbs5 ft6NoNoFree AgentNoNo22024-07-16FalseFalsePro & Farm750,000$75,000$30,102$No750,000$--------750,000$--------No--------
Jens LiljegrenHornets (DOC)D242004-05-17SWEYes221 Lbs6 ft4NoNoFree AgentNoNo22024-07-13FalseFalsePro & Farm1,900,000$190,000$76,259$No1,900,000$--------1,900,000$--------No--------
Joachim PickeringHornets (DOC)D222006-04-01CANYes189 Lbs5 ft11NoNoTrade2025-11-18NoNo42025-10-26FalseFalsePro & Farm950,000$950,000$381,293$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------
Lynn ManseauHornets (DOC)RW212007-06-19CANYes179 Lbs5 ft8NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$32,109$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Maitland CableHornets (DOC)LW371991-04-03USANo186 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm835,000$83,500$33,514$No---------------------------
Nikolas JakubkoHornets (DOC)G222006-08-31SVKYes193 Lbs6 ft7NoNoFree AgentNoNo12026-08-31FalseFalsePro & Farm940,000$94,000$37,728$No---------11$-----------------
Rylan MeunierHornets (DOC)LW262002-03-18CANNo204 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,000,000$100,000$40,136$No---------------------------
Siegfried KlattHornets (DOC)D222006-10-08GERYes221 Lbs6 ft7NoNoTrade2024-11-17NoNo52026-05-03FalseFalsePro & Farm1,950,000$195,000$78,265$No1,950,000$1,950,000$1,950,000$1,950,000$-----1,950,000$1,950,000$1,950,000$1,950,000$-----NoNoNoNo-----
Tony DelaurentisHornets (DOC)LW232005-12-22CANYes216 Lbs5 ft11NoNoN/ANoNo32026-05-03FalseFalsePro & Farm800,000$80,000$32,109$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Tylor RebeloHornets (DOC)G311997-09-17CANNo177 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,510,000$151,000$60,605$No---------------------------
Vladislav RalinHornets (DOC)D222006-07-19RUSYes178 Lbs5 ft7NoNoTrade2026-06-07NoNo22025-10-05FalseFalsePro & Farm800,000$80,000$32,109$No800,000$--------800,000$--------No--------
Yevheniy YakovenkoHornets (DOC)D232005-10-13UKRYes185 Lbs6 ft2NoNoN/ANoNo52026-05-03FalseFalsePro & Farm800,000$80,000$32,109$No800,000$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
2424.46197 Lbs6 ft02.131,050,188$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Easton JamiesonAdalbert BerlinAiden Wourms25122
2Rylan MeunierDaniel LohseArtsyom Marakow25122
3Maitland CableFinlay HellgrenAntonio Donohoe25122
4Tony DelaurentisAdel FerrantinoLynn Manseau25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav RalinJens Liljegren25122
2Siegfried KlattConnie Leather25122
3Andre-Philippe ScarponeBaron Knowles25122
4Vladislav RalinJens Liljegren25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Easton JamiesonAdalbert BerlinAiden Wourms50122
2Rylan MeunierDaniel LohseArtsyom Marakow50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav RalinJens Liljegren50122
2Siegfried KlattConnie Leather50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adalbert BerlinEaston Jamieson50122
2Daniel LohseRylan Meunier50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav RalinJens Liljegren50122
2Siegfried KlattConnie Leather50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adalbert Berlin50122Vladislav RalinJens Liljegren50122
2Daniel Lohse50122Siegfried KlattConnie Leather50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adalbert BerlinEaston Jamieson50122
2Daniel LohseRylan Meunier50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav RalinJens Liljegren50122
2Siegfried KlattConnie Leather50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Easton JamiesonAdalbert BerlinAiden WourmsVladislav RalinJens Liljegren
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rylan MeunierDaniel LohseArtsyom MarakowSiegfried KlattConnie Leather
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adalbert Berlin, Antonio Donohoe, Maitland CableAdalbert Berlin, Antonio DonohoeAdalbert Berlin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connie Leather, Andre-Philippe Scarpone, Baron KnowlesConnie LeatherConnie Leather, Andre-Philippe Scarpone
Tirs de pénalité
Aiden Wourms, Artsyom Marakow, Easton Jamieson, Rylan Meunier, Adalbert Berlin
Gardien
#1 : Branislav Herceg, #2 : Tylor Rebelo
Lignes d’attaque personnalisées en prolongation
Aiden Wourms, Artsyom Marakow, Easton Jamieson, Rylan Meunier, Adalbert Berlin, Antonio Donohoe, Maitland Cable, Daniel Lohse, Lynn Manseau, Finlay Hellgren
Lignes de défense personnalisées en prolongation
Vladislav Ralin, Jens Liljegren, Siegfried Klatt, Connie Leather, Andre-Philippe Scarpone


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
1Auroras31100100862211000007431000010012-130.500813210033715010974435835133467121212011436.36%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
2Bulldogs2110000057-21010000016-51100000041320.500571200337150106644358351334591420436116.67%000%0479100847.52%486104646.46%36674848.93%10596171080446891452
3Crusaders2110000011101110000007521010000045-120.5001118290033715010614435835133480212414250.00%110.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
4Devils51301000161512010100056-131200000119240.4001626420033715010145443583513341796747919111.11%6350.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
5Drillers1010000023-11010000023-10000000000000.00022400337150102944358351334309418300.00%2150.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
6Guppies540010001861232001000105522000000817101.000182745013371501016644358351334163553611517423.53%30100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
7Hydra2010000158-31000000134-11010000024-210.25057120033715010614435835133455202518225.00%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
8Jacks21100000651110000004221010000023-120.500610160033715010844435835133458242436116.67%110.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
9Jazz201000107701010000034-11000001043120.50079160033715010754435835133458211258400.00%6266.67%0479100847.52%486104646.46%36674848.93%10596171080446891452
10Kings10001000431000000000001000100043121.000481200337150103144358351334361272711100.00%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
11Northmen10001000211100010002110000000000021.000235003371501030443583513343215226100.00%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
12Outlaws21100000770211000007700000000000020.50071320003371501064443583513347027924100.00%2150.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
13Phantoms522001001720-32110000079-2311001001011-150.500173148003371501013644358351334164557512213215.38%10460.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
14Rock11000000532000000000001100000053221.00058130033715010334435835133430611232150.00%30100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
15Schooners1010000012-1000000000001010000012-100.0001120033715010354435835133441107173133.33%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
16Spartans21001000743100010003211100000042241.00071219003371501050443583513344811742200.00%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
17Stingers11000000431110000004310000000000021.0004610003371501034443583513342999182150.00%2150.00%1479100847.52%486104646.46%36674848.93%10596171080446891452
18Swamp Puppies1010000012-11010000012-10000000000000.00011200337150103244358351334357517100.00%000%0479100847.52%486104646.46%36674848.93%10596171080446891452
19Vipers1010000027-51010000027-50000000000000.0002460033715010254435835133432132126000%3166.67%1479100847.52%486104646.46%36674848.93%10596171080446891452
20Wild Wings211000007521010000034-11100000041320.500712190033715010764435835133458205446116.67%000%0479100847.52%486104646.46%36674848.93%10596171080446891452
21Wolfpack1010000024-2000000000001010000024-200.000235003371501036443583513343552182150.00%110.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
22Wolverines41101010151232000101053221100000109160.750152540003371501010644358351334127492896116.67%10100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
23Yeti310001011011-11000000134-12100010077040.667101828003371501088443583513348932480400.00%20100.00%0479100847.52%486104646.46%36674848.93%10596171080446891452
Total501819063221621511126810050127981-22410901310837013570.5701622644260133715010156044358351334157551430311531122421.43%491667.35%2479100847.52%486104646.46%36674848.93%10596171080446891452
_Since Last GM Reset501819063221621511126810050127981-22410901310837013570.5701622644260133715010156044358351334157551430311531122421.43%491667.35%2479100847.52%486104646.46%36674848.93%10596171080446891452
_Vs Conference331212043111079981766030115250216660130055496380.57610718028701337150101007443583513341050360221773731520.55%331263.64%1479100847.52%486104646.46%36674848.93%10596171080446891452
_Vs Division1275021004233963202000201826430010022157190.792426710901337150103774435835133438513112329534617.65%19668.42%0479100847.52%486104646.46%36674848.93%10596171080446891452

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5057SOL116226442615601575514303115301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5018196322162151
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2681050127981
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2410913108370
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1122421.43%491667.35%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
4435835133433715010
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
479100847.52%486104646.46%36674848.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10596171080446891452


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 - 2026-08-14456Hornets1Auroras2LXSommaire du match
64 - 2026-08-16470Hornets4Crusaders5LSommaire du match
65 - 2026-08-17483Hornets2Guppies0WSommaire du match
67 - 2026-08-19497Hornets5Devils1WSommaire du match
69 - 2026-08-21509Guppies2Hornets4WSommaire du match
71 - 2026-08-23526Hornets5Phantoms3WSommaire du match
73 - 2026-08-25544Bulldogs6Hornets1LSommaire du match
75 - 2026-08-27555Wild Wings4Hornets3LSommaire du match
76 - 2026-08-28562Hornets2Jacks3LSommaire du match
78 - 2026-08-30580Hornets5Rock3WSommaire du match
80 - 2026-09-01598Hornets2Yeti3LXSommaire du match
82 - 2026-09-03607Outlaws2Hornets4WSommaire du match
83 - 2026-09-04616Phantoms6Hornets2LSommaire du match
85 - 2026-09-06630Jazz4Hornets3LSommaire du match
87 - 2026-09-08646Hydra4Hornets3LXXSommaire du match
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
Assistance53,88949,716
Assistance PCT69.09%95.61%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
14 3985 - 79.70% 145,065$3,771,690$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,115,215$ 3,375,451$ 3,375,451$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,375,451$ 1,516,576$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,030,910$ 59 29,765$ 1,756,135$




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 Wourms29995137232-41169026585611.10%82505816.9222396166000022750.63%00.92927
2Gennady Oginsky3068994183-397049539688810.02%129495016.1817244154000016640.54%10.741033
3Maitland Cable29870106176-79865641255612.59%92494516.5910182835303914754.33%00.71310
4Easton Jamieson38459991588603684126199.53%87594915.4912162837123105645.38%00.5314
5Oskar Carlsson2966788155-8141773656979.61%101433414.641682437000514755.26%00.7203

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 Rebelo1486956170.9072.77868815040143261767640.77649
2Gleb Zazulenko1206431220.9212.4771526429437372024630.69265
3Linus Smeds85413050.9172.4347230219122951320330.76025
4Branislav Herceg39171840.9053.022206231111170649100.8336
5Willy Welsford50172470.8993.082943021511488864210.69226

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
6501819063221621511126810050127981-22410901310837013571622644260133715010156044358351334157551430311531122421.43%491667.35%2479100847.52%486104646.46%36674848.93%10596171080446891452
Total Saison régulière45015817203436282212641281-172267887018151711652639132248085016211111612642-304981264207533391211244472486921377739834879475534313834475929111034191220722.70%74820073.26%104536895450.66%4602921249.96%3154626650.34%962855829602404381284054
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