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Hornets
GP: 72 | W: 37 | L: 30 | OTL: 5 | P: 79
GF: 230 | GA: 226 | PP%: 23.81% | PK%: 69.81%
DG: Kieran Green | Morale : 50 | Moyenne d’équipe : 69
Prochains matchs #954 vs Guppies

Centre de jeu
Guppies
21-42-10, 52pts
2
4 Hornets
37-30-5, 79pts
Team Stats
W1SéquenceW2
13-19-4Fiche domicile20-13-2
8-23-6Fiche domicile17-17-3
5-3-2Derniers 10 matchs5-5-0
2.55Buts par match 3.19
3.68Buts contre par match 3.14
24.64%Pourcentage en avantage numérique23.81%
74.81%Pourcentage en désavantage numérique69.81%
Hornets
37-30-5, 79pts
4
2 Stingers
28-37-8, 64pts
Team Stats
W2SéquenceL2
20-13-2Fiche domicile17-15-4
17-17-3Fiche domicile11-22-4
5-5-0Derniers 10 matchs4-4-2
3.19Buts par match 2.97
3.14Buts contre par match 3.30
23.81%Pourcentage en avantage numérique24.86%
69.81%Pourcentage en désavantage numérique73.63%
Guppies
21-42-10, 52pts
2026-10-22
Hornets
37-30-5, 79pts
Statistiques d’équipe
W1SéquenceW2
13-19-4Fiche domicile20-13-2
8-23-6Fiche visiteur17-17-3
5-3-210 derniers matchs5-5-0
2.55Buts par match 3.19
3.68Buts contre par match 3.19
24.64%Pourcentage en avantage numérique23.81%
74.81%Pourcentage en désavantage numérique69.81%
Phantoms
43-20-10, 96pts
2026-10-25
Hornets
37-30-5, 79pts
Statistiques d’équipe
L2SéquenceW2
23-8-5Fiche domicile20-13-2
20-12-5Fiche visiteur17-17-3
3-4-310 derniers matchs5-5-0
3.79Buts par match 3.19
3.22Buts contre par match 3.19
34.67%Pourcentage en avantage numérique23.81%
74.75%Pourcentage en désavantage numérique69.81%
Hornets
37-30-5, 79pts
2026-10-26
Phantoms
43-20-10, 96pts
Statistiques d’équipe
W2SéquenceL2
20-13-2Fiche domicile23-8-5
17-17-3Fiche visiteur20-12-5
5-5-010 derniers matchs3-4-3
3.19Buts par match 3.79
3.14Buts contre par match 3.79
23.81%Pourcentage en avantage numérique34.67%
69.81%Pourcentage en désavantage numérique74.75%
Meneurs d'équipe
Buts
Artsyom Marakow
37
Passes
Daniel Lohse
37
Points
Artsyom Marakow
69
Plus/Moins
Rylan Meunier
14
Victoires
Tylor Rebelo
21
Pourcentage d’arrêts
Branislav Herceg
0.901

Statistiques d’équipe
Buts pour
230
3.19 GFG
Tirs pour
2218
30.81 Avg
Pourcentage en avantage numérique
23.8%
40 GF
Début de zone offensive
36.4%
Buts contre
226
3.14 GAA
Tirs contre
2244
31.17 Avg
Pourcentage en désavantage numérique
69.8%%
32 GA
Début de la zone défensive
37.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance3,980
Billets de saison1,250


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite Contrat42 / 55
Espoirs8


Historique d'équipe

Saison actuelle37-30-5 (79PTS)
Historique231-183-57 (0.490%)
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
1Artsyom Marakow (R)37X100.006445688799759196465566535362846450740222900,000$
2Easton Jamieson (A)17X100.0059499073789995686373613733778736507302711,200,000$
3Rylan Meunier65X100.0063408974858855685661689735989252507302611,000,000$
4Adalbert Berlin7X100.0038549161976170689897437492596924507303111,100,000$
5Maitland Cable51X100.00996493576092768892823741489479050720371835,000$
6Antonio Donohoe (R)58X100.0032566165628557707880898456899151507202411,200,000$
7Daniel Lohse (R)0X100.003730875446929770619539607533767250690213800,000$
8Lynn Manseau (R)0X100.008727886082676462485262847828357250670213800,000$
9Finlay Hellgren (R)22X100.005131887081465980723455868685465950630232750,000$
10Adel Ferrantino (R)27X100.00454657675968747164586153505575625062X0232844,507$
11Tony Delaurentis (R)56X100.004260597526608664504575928178356950620233800,000$
12Vladislav Ralin (R)55X100.008344769175917473255834623583746750720222800,000$
13Jens Liljegren (R)35X100.0092587266608165712574587171465260507002421,900,000$
14Siegfried Klatt (R)85X100.0053289689708957782547578557753770507002251,950,000$
15Connie Leather (R)66X100.0097408372596257922563617163599761506802331,600,000$
16Andre-Philippe Scarpone (R)0X100.009075556959957592254954529233506350680231825,000$
17Joachim Pickering (R)8X100.005141926446615391258338869484566050640224950,000$
18Dayton Schwindt (R)30X100.002750707428765761255867948192596250600231700,000$
Rayé
1Aiden Wourms25X100.0034459987686392998397623777655935507602931,400,000$
2Baron Knowles0X100.006739635872687289253970808797615650660261700,000$
3Yevheniy Yakovenko (R)44X100.004432895440666874256162549166886950600235800,000$
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)RW6737326912195948026810314213.81%21114917.156121827121000008331.82%448415211.2025001755
2Daniel LohseHornets (DOC)C72193756127516103114317716.67%28117016.26510158911122603136.40%8051115000.9612100110
3Aiden WourmsHornets (DOC)RW59222749-125511681905110711.58%23105817.943691494000002053.15%1116513000.9303001050
4Maitland CableHornets (DOC)LW72171936-22420159741563610110.90%19114115.85101123000182350.00%501916000.6300400330
5Easton JamiesonHornets (DOC)LW72132033-720108457104357112.50%20120216.70549151321121772244.74%762215000.5535002220
6Connie LeatherHornets (DOC)D6633033-4275162958634393.49%62133920.3019106115000265100%02347000.4900001421
7Adalbert BerlinHornets (DOC)C716273323420191268730486.90%2293513.181563780001592053.17%7731223000.7101211102
8Rylan MeunierHornets (DOC)LW641215271475728097366012.37%25103716.2241591052135663147.73%441923000.5212010203
9Antonio DonohoeHornets (DOC)RW6719726-743253196220351238.64%24103115.39101332000002151.79%563626000.5001023103
10Finlay HellgrenHornets (DOC)C6591625040379790264410.00%1889513.7800002000031048.43%700816000.5600000010
11Lynn ManseauHornets (DOC)RW7271522-12601267067353110.45%2499613.83011133000001033.33%60419000.4400000102
12Tony DelaurentisHornets (DOC)LW5612921-164125397990326313.33%1966311.8400004000251145.95%373018000.6300311121
13Boris PotokovDockheadsC201011211040524171263814.08%1035317.6910149000040045.30%234128001.1900000122
14Siegfried KlattHornets (DOC)D5851520-160023957929286.33%64109418.86257485011368100%01641000.3700000002
15Adel FerrantinoHornets (DOC)C4351419-13362035528423675.95%958013.5100005000071139.14%4881810000.6500112022
16Vladislav RalinHornets (DOC)D471171812410135836436331.56%66119425.420331070000039000%01935000.3000110114
17Jens LiljegrenHornets (DOC)D5911516035151691127223321.39%61137323.290223106011066010%03145000.2300021111
18Andre-Philippe ScarponeHornets (DOC)D383811-510450913625102012.00%2268017.90123143000019000%159000.3200334021
19Baron KnowlesHornets (DOC)D262571804246268147.69%3147618.34112326000111000%0319000.2900000110
20Yevheniy YakovenkoHornets (DOC)D381348201027131257.69%1846312.200000100001100%037000.1700000001
21Brigham EveleighDockheadsC6314-21751291251325.00%49415.83202313000120044.55%10121000.8401010100
22Joachim PickeringHornets (DOC)D17123-52021564316.67%161689.890000100006000%0011000.3600000000
23Christophe PrybyshDockheadsD2000000033100%63618.480000600000000%00000000000000
24Dayton SchwindtHornets (DOC)D14000-4121012313180%717412.490000000000000%041000000011000
Statistiques d’équipe totales ou en moyenne1171208345553-45481235142215672037662116710.21%6191931416.49346195115120745919574311444.80%3580446442210.57720151418283030
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)39211320.9003.092250001161165452300.769133635122
2Branislav HercegHornets (DOC)37161730.9013.052088211061068592100.83363636522
3Nikolas JakubkoHornets (DOC)10000.8187.0617002114000001000
Statistiques d’équipe totales ou en moyenne77373050.9003.094356212242244104840197272644


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$13,469$No---------------------------
Adel FerrantinoHornets (DOC)C232005-03-12USAYes239 Lbs6 ft6NoYesFree AgentNoNo22024-06-05FalseFalsePro & Farm844,507$84,451$10,341$No844,507$--------844,507$--------No--------
Aiden WourmsHornets (DOC)RW291999-08-07CANNo184 Lbs6 ft0NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,400,000$140,000$17,143$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$10,102$No---------------------------
Antonio DonohoeHornets (DOC)RW242004-03-08CANYes243 Lbs6 ft5NoNoAssign Manually2025-06-11NoNo12025-10-26FalseFalsePro & Farm1,200,000$120,000$14,694$No---------------------------
Artsyom MarakowHornets (DOC)RW222006-09-12BLRYes214 Lbs6 ft3NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Baron KnowlesHornets (DOC)D262002-04-16USANo187 Lbs5 ft11NoNoFree AgentNoNo12026-08-13FalseFalsePro & Farm700,000$70,000$8,571$No---------------------------
Branislav HercegHornets (DOC)G192009-01-14SVKYes164 Lbs6 ft2NoYesAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Connie LeatherHornets (DOC)D232005-11-14USAYes233 Lbs6 ft8NoNoN/ANoNo32026-05-03FalseFalsePro & Farm1,600,000$160,000$19,592$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$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Dayton SchwindtHornets (DOC)D232005-12-27CANYes174 Lbs5 ft8NoNoFree AgentNoNo12026-08-16FalseFalsePro & Farm700,000$70,000$8,571$No---------------------------
Easton JamiesonHornets (DOC)LW272001-03-09CANNo165 Lbs5 ft7NoNoFree AgentNoNo12025-02-23FalseFalsePro & Farm1,200,000$120,000$14,694$No---------------------------
Finlay HellgrenHornets (DOC)C232005-05-14FINYes181 Lbs5 ft6NoNoFree AgentNoNo22024-07-16FalseFalsePro & Farm750,000$75,000$9,184$No750,000$--------750,000$--------No--------
Jens LiljegrenHornets (DOC)D242004-05-17SWEYes221 Lbs6 ft4NoNoFree AgentNoNo22024-07-13FalseFalsePro & Farm1,900,000$190,000$23,265$No1,900,000$--------1,900,000$--------No--------
Joachim PickeringHornets (DOC)D222006-04-01CANYes189 Lbs5 ft11NoNoTrade2025-11-18NoNo42025-10-26FalseFalsePro & Farm950,000$950,000$116,327$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$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Maitland CableHornets (DOC)LW371991-04-03USANo186 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm835,000$83,500$10,224$No---------------------------
Nikolas JakubkoHornets (DOC)G222006-08-31SVKYes193 Lbs6 ft7NoNoFree AgentNoNo12026-08-31FalseFalsePro & Farm940,000$94,000$11,510$No---------11$-----------------
Rylan MeunierHornets (DOC)LW262002-03-18CANNo204 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,000,000$100,000$12,245$No---------------------------
Siegfried KlattHornets (DOC)D222006-10-08GERYes221 Lbs6 ft7NoNoTrade2024-11-17NoNo52026-05-03FalseFalsePro & Farm1,950,000$195,000$23,878$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$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Tylor RebeloHornets (DOC)G311997-09-17CANNo177 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,510,000$151,000$18,490$No---------------------------
Vladislav RalinHornets (DOC)D222006-07-19RUSYes178 Lbs5 ft7NoNoTrade2026-06-07NoNo22025-10-05FalseFalsePro & Farm800,000$80,000$9,796$No800,000$--------800,000$--------No--------
Yevheniy YakovenkoHornets (DOC)D232005-10-13UKRYes185 Lbs6 ft2NoNoN/ANoNo52026-05-03FalseFalsePro & Farm800,000$80,000$9,796$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 BerlinArtsyom Marakow25122
2Rylan MeunierDaniel LohseAntonio Donohoe25122
3Maitland CableFinlay HellgrenLynn Manseau25122
4Tony DelaurentisAdel FerrantinoArtsyom Marakow25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav RalinJens Liljegren25122
2Siegfried KlattConnie Leather25122
3Andre-Philippe ScarponeJoachim Pickering25122
4Dayton SchwindtVladislav Ralin25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Easton JamiesonAdalbert BerlinArtsyom Marakow50122
2Rylan MeunierDaniel LohseAntonio Donohoe50122
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 BerlinArtsyom MarakowVladislav RalinJens Liljegren
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rylan MeunierDaniel LohseAntonio DonohoeSiegfried KlattConnie Leather
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Antonio Donohoe, Maitland Cable, Daniel LohseAntonio Donohoe, Maitland CableAntonio Donohoe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andre-Philippe Scarpone, Joachim Pickering, Dayton SchwindtAndre-Philippe ScarponeAndre-Philippe Scarpone, Joachim Pickering
Tirs de pénalité
Artsyom Marakow, Easton Jamieson, Rylan Meunier, Adalbert Berlin, Antonio Donohoe
Gardien
#1 : Branislav Herceg, #2 : Tylor Rebelo
Lignes d’attaque personnalisées en prolongation
Artsyom Marakow, Easton Jamieson, Rylan Meunier, Adalbert Berlin, Antonio Donohoe, Maitland Cable, Daniel Lohse, Lynn Manseau, Finlay Hellgren, Tony Delaurentis
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
1Auroras4120010011110211000007432010010047-330.37511172800479379141386288147484796201914814642.86%2150.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
2Bulldogs2110000057-21010000016-51100000041320.500571200479379146662881474847591420436116.67%000%0679146346.41%702149846.86%506106347.60%151887315566501292651
3Comets1010000025-3000000000001010000025-300.0002460047937914316288147484740101319100.00%4325.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
4Crusaders2110000011101110000007521010000045-120.5001118290047937914616288147484780212414250.00%110.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
5Devils715010002022-23020100079-2413000001313040.286203454004793791419762881474847245836412617317.65%13561.54%0679146346.41%702149846.86%506106347.60%151887315566501292651
6Drillers2020000025-31010000023-11010000002-200.000224004793791451628814748476020638400.00%3166.67%0679146346.41%702149846.86%506106347.60%151887315566501292651
7Guppies75101000251213430010001477321000001156120.857253762014793791421962881474847218795315026519.23%90100.00%2679146346.41%702149846.86%506106347.60%151887315566501292651
8Hydra2010000158-31000000134-11010000024-210.25057120047937914616288147484755202518225.00%10100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
9Jacks4220000015123211000008712110000075240.50015243900479379141426288147484712039178114321.43%6266.67%0679146346.41%702149846.86%506106347.60%151887315566501292651
10Jazz201000107701010000034-11000001043120.50079160047937914756288147484758211258400.00%6266.67%0679146346.41%702149846.86%506106347.60%151887315566501292651
11Kings21001000844110000004131000100043141.0008152300479379147262881474847501396022100.00%2150.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
12Northmen21001000532100010002111100000032141.00059140047937914726288147484769252464125.00%10100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
13Outlaws3110001012111211000007701000001054140.667121931004793791491628814748471133927433133.33%6350.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
14Phantoms723011002532-7311010001213-1412001001319-670.5002545700047937914215628814748472287110115516318.75%18761.11%0679146346.41%702149846.86%506106347.60%151887315566501292651
15Rampage21000010752100000105411100000021141.0007121900479379145662881474847642532513133.33%60100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
16Rock11000000532000000000001100000053221.00058130047937914336288147484730611232150.00%30100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
17Schooners21100000440110000003211010000012-120.500461000479379146262881474847721915445120.00%5180.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
18Spartans21001000743100010003211100000042241.00071219004793791450628814748474811742200.00%10100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
19Stingers22000000853110000004311100000042241.0008132100479379146162881474847521721335360.00%3166.67%1679146346.41%702149846.86%506106347.60%151887315566501292651
20Swamp Puppies2020000027-51010000012-11010000015-400.0002350047937914566288147484763171452300.00%20100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
21Vipers30300000616-1020200000511-61010000015-400.0006111700479379148562881474847844034664125.00%7357.14%1679146346.41%702149846.86%506106347.60%151887315566501292651
22Wild Wings211000007521010000034-11100000041320.500712190047937914766288147484758205446116.67%000%0679146346.41%702149846.86%506106347.60%151887315566501292651
23Wolfpack21100000651110000004131010000024-220.5006101600479379145462881474847662018395240.00%4175.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
24Wolverines41101010151232000101053221100000109160.750152540004793791410662881474847127492896116.67%10100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
25Yeti310001011011-11000000134-12100010077040.667101828004793791488628814748478932480400.00%20100.00%0679146346.41%702149846.86%506106347.60%151887315566501292651
Total72263007342230226435121306022113107637141701320117119-2790.5492303776070147937914221862881474847224473151016221684023.81%1063269.81%4679146346.41%702149846.86%506106347.60%151887315566501292651
_Since Last GM Reset72263007342230226435121306022113107637141701320117119-2790.5492303776070147937914221862881474847224473151016221684023.81%1063269.81%4679146346.41%702149846.86%506106347.60%151887315566501292651
_Vs Conference4816210532115515322499040117870824712013107783-6500.5211552574120147937914145862881474847149650535410751152723.48%732467.12%3679146346.41%702149846.86%506106347.60%151887315566501292651
_Vs Division1689031005751684303000292458460010028271230.719579114801479379145096288147484750417116636346817.39%33972.73%2679146346.41%702149846.86%506106347.60%151887315566501292651

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7279W223037760722182244731510162201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7226307342230226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3512136022113107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3714171320117119
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1684023.81%1063269.81%4
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
6288147484747937914
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
679146346.41%702149846.86%506106347.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151887315566501292651


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 - 2026-09-10657Kings1Hornets4WSommaire du match
90 - 2026-09-11669Hornets3Northmen2WSommaire du match
92 - 2026-09-13683Hornets2Rampage1WSommaire du match
93 - 2026-09-14690Schooners2Hornets3WSommaire du match
95 - 2026-09-16702Hornets5Jacks2WSommaire du match
97 - 2026-09-18719Hornets3Phantoms8LSommaire du match
99 - 2026-09-20730Vipers4Hornets3LSommaire du match
100 - 2026-09-21741Hornets3Guppies4LSommaire du match
103 - 2026-09-24758Hornets3Auroras5LSommaire du match
104 - 2026-09-25767Jacks5Hornets4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27785Hornets1Swamp Puppies5LSommaire du match
108 - 2026-09-29797Hornets5Outlaws4WXXSommaire du match
109 - 2026-09-30801Hornets2Comets5LSommaire du match
111 - 2026-10-02817Rampage4Hornets5WXXSommaire du match
113 - 2026-10-04836Hornets1Vipers5LSommaire du match
114 - 2026-10-05840Wolfpack1Hornets4WSommaire du match
116 - 2026-10-07852Hornets2Devils4LSommaire du match
118 - 2026-10-09866Phantoms4Hornets5WXSommaire du match
120 - 2026-10-11878Devils3Hornets2LSommaire du match
122 - 2026-10-13895Hornets0Drillers2LSommaire du match
123 - 2026-10-14899Guppies2Hornets4WSommaire du match
127 - 2026-10-18932Hornets4Stingers2WSommaire du match
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
Assistance72,82266,464
Assistance PCT69.35%94.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
5 3980 - 79.59% 145,223$5,082,791$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,305,374$ 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$ 2,427,825$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
726,113$ 18 29,765$ 535,770$




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 Wourms310102138240-39169727989611.38%85525616.9622396169000022750.61%00.91927
2Maitland Cable32075111186-1210769043760312.44%102530316.5710182835303915754.26%00.70310
3Gennady Oginsky3068994183-397049539688810.02%129495016.1817244154000016640.54%10.741033
4Easton Jamieson4066510517012754024356609.85%90632415.5815163142134106645.41%00.5436
5Adalbert Berlin33043115158-396219556742310.17%137515715.63133548371121210353.64%10.61513

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 Rebelo1577360170.9062.82917415043145771851740.78255
2Gleb Zazulenko1206431220.9212.4771526429437372024630.69265
3Linus Smeds85413050.9172.4347230219122951320330.76025
4Branislav Herceg54242540.9023.073051231561588878100.8336
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
672263007342230226435121306022113107637141701320117119-2792303776070147937914221862881474847224473151016221684023.81%1063269.81%4679146346.41%702149846.86%506106347.60%151887315566501292651
Total Saison régulière47216618303536302213321356-242358290019151811686665212378493016211211646691-455201332218835201211258494515961443541685110499035614503497631181081096822323.04%80521673.17%124736940950.33%4818966449.86%3294658150.05%10087583710078424785284253
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