Please rotate your device to landscape mode for a better experience.
Connexion

Whalers
GP: 85 | W: 44 | L: 34 | OTL: 7 | P: 95
GF: 360 | GA: 355 | PP%: 16.81% | PK%: 77.78%
DG: Gabriel Whiddon | Morale : 53 | Moyenne d’équipe : 67
Prochains matchs #1333 vs Flames

Centre de jeu
Flyers
23-59-3, 49pts
3
5 Whalers
44-34-7, 95pts
Team Stats
L4SéquenceW3
11-28-3Fiche domicile21-16-5
12-31-0Fiche visiteur23-18-2
0-9-1Derniers 10 matchs8-2-0
3.58Buts par match 4.24
5.54Buts contre par match 4.18
16.27%Pourcentage en avantage numérique16.81%
78.12%Pourcentage en désavantage numérique77.78%
Whalers
44-34-7, 95pts
3
1 Capitals
57-18-10, 124pts
Team Stats
W3SéquenceL1
21-16-5Fiche domicile29-9-4
23-18-2Fiche visiteur28-9-6
8-2-0Derniers 10 matchs5-3-2
4.24Buts par match 4.69
4.18Buts contre par match 3.20
16.81%Pourcentage en avantage numérique23.43%
77.78%Pourcentage en désavantage numérique84.62%
Flames
50-23-9, 109pts
Jour 119
Whalers
44-34-7, 95pts
Statistiques d’équipe
L1SéquenceW3
25-15-3Fiche domicile21-16-5
25-8-6Fiche visiteur23-18-2
6-4-010 derniers matchs8-2-0
4.73Buts par match 4.24
4.12Buts contre par match 4.24
20.25%Pourcentage en avantage numérique16.81%
85.00%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Kyle PalmieriButs
Kyle Palmieri
60
Jordan StaalPasses
Jordan Staal
64
Kyle PalmieriPoints
Kyle Palmieri
117
Plus/Moins
Andrei Kuzmenko
8
Victoires
Elvis Merzlikins
31
Pourcentage d’arrêts
Cayden Primeau
0.899

Statistiques d’équipe
Buts pour
360
4.24 GFG
Tirs pour
3512
41.32 Avg
Pourcentage en avantage numérique
16.8%
39 GF
Début de zone offensive
40.2%
Buts contre
355
4.18 GAA
Tirs contre
3434
40.40 Avg
Pourcentage en désavantage numérique
77.8%%
28 GA
Début de la zone défensive
33.4%
Informations de l'équipe

Directeur généralGabriel Whiddon
EntraîneurAlain Vigneault
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomRBC Center
Capacité18,000
Assistance13,165
Billets de saison10,800


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 100
Espoirs142


Plafond salarial

Cap Salarial de la Saison estimé74,388,232$
Plafond salarial disponible111,768$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour60,815,111$
Dépenses annuelles à ce jour71,576,485$
Revenus de la saison estimés1,447,979$
Dépenses de la saison estimées3,811,716$
Compte bancaire actuel71,913,067$
Compte bancaire projeté69,549,330$


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
1Kyle PalmieriXXX100.0069429279707999813778866946869075897603535,650,000$
2Jordan StaalX100.0083469385817092639780717725989972837503735,650,000$
3Mikael BacklundX100.0065428874727993798770758232919471877403735,650,000$
4Jared McCannXX100.0066429377717599795182777345798076707403013,560,000$
5Barrett HaytonXX100.0062528685747399739475756525686972807202533,370,000$
6Paul CotterXXX100.009757799278649667526476648566666987710261856,000$
7Andrei KuzmenkoXX100.0060419369697083822582736067666668887003013,336,000$
8Vladimir TarasenkoXX100.0072439973786897712573686161849167827003426,255,000$
9Sam Morton (R)X100.007568926868828764786264635747466186640261950,000$
10Ozzy Wiesblatt (R)X100.006465627067808564506164585747465989630241863,333$
11Daniel WalcottX100.0072659063657076495047465744474651795503214,000,000$
12Keaton MastrodonatoXXX100.007774876074363543553743604245454748500251950,000$
13Devon ToewsX100.0064429183719195702574568525747866877503213,312,000$
14Simon BenoitX100.0093707887827095632553478925686962827502734,107,000$
15David SavardX100.0069448668847092622556479425858861807403517,120,000$
16Nick BlankenburgX100.0073428983627890682556508425606062817102833,550,000$
17Urho VaakanainenX100.0062429074766970612560477825656560836702731,893,000$
18Jani HakanpaaX100.0087829980823331422529406537474647665703414,755,000$
Rayé
1Tory DelloX100.0077748462744546462535396038464648295502914,000,000$
Équipe Mineure
1Ryan DonatoXXX100.0078548674707397776781896167747577697303021,765,000$
2Sam BennettX100.0085786678727695768377835925808575567302912,050,000$
3Troy TerryXX100.0057419379707994833683786059727273617202822,361,000$
4Mathieu OlivierXX100.0099995481856799603763717225676870736902911,240,000$
5Jack QuinnX100.0065429378726891732975725785646469616802421,811,000$
6Eetu LuostarinenXXX100.0088469084737098584264597225717466556702711,148,000$
7Matt Savoie (R)X100.0070628891648185638061635960474664696502231,471,000$
8Mikey EyssimontX100.0080677783715794623461656125666762616402921,543,000$
9Samuel Honzek (R)X100.0077728973746972555051546153474658635902131,277,000$
10Samuel Savoie (R)X100.0072688967707987495048455845464653605602231,289,000$
11Carsen TwarynskiX100.0075738364735050485048456044464651315302811,044,000$
12Artem Shlaine (R)XXX100.0077699981703532486148436042454551265302431,339,000$
13Ian Moore (R)X100.0079768682785252542550446141474654446002431,382,000$
14William WallinderX100.0082789567805253502545406338474651415802331,600,000$
15Joakim Ryan (R)X100.0074679362676874452533405838464850475603221,414,000$
16Aidan FulpX100.008179866279434348254039613747474758550261950,000$
17Montana OnyebuchiX100.007282546382525445253340563947464656540261950,000$
18Chris JandricX100.007166888167353250254738573747464961540272800,000$
19Aatu Jamsen (R)X100.0073678864684645515044566054464656205302231,266,000$
20Koehn Ziemmer (R)X100.0084789980783230445038446442444452205202131,265,000$
21Quinn Olson (R)XXX100.0069677280673633486047445842444451195202531,333,000$
22Daniel TorgerssonX100.007674816074363544503844604244444920490241925,000$
23Anton MalmstromX100.008078876078363444253439613745454910530261950,000$
24Jeremie BuchelerX100.008477996077353441252839633744444919520261950,000$
25Will MacKinnonX100.007272736172464744253439573744444820520261950,000$
MOYENNE D’ÉQUIPE100.00756386747361715944565665425959595963
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
1Elvis Merzlikins99.006683807865667070646695666766836903213,179,000$
2Cayden Primeau100.00595453816553746166598550506086620261983,000$
Rayé
1Ty Young (R)100.005140507454515456545430444452465402131,245,000$
Équipe Mineure
1Cooper Black (R)100.005940509261687574767330454563836602411,000,000$
2Jeremy Brodeur100.004440506845924550918145464658876002911,000,000$
MOYENNE D’ÉQUIPE99.8056515779586664627067575050607762
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault72607085637170CAN5911,000,000$


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
1Kyle PalmieriWhalersC/LW/RW85605711711157914443113228113.92%42183921.641514295420300051158135.23%2987029241.2703100798
2Jordan StaalWhalersC8528649231151181302639814310.65%43148617.4871017352040003342161.69%16893929001.2403010516
3Andrei KuzmenkoWhalersLW/RW8539519081155810333311023811.71%34160018.823710261660001877024.29%705519221.1200001545
4Mikael BacklundWhalersC853749863160781512809815513.21%41143516.8922421127000006260.06%10692726001.2013000446
5Paul CotterWhalersC/LW/RW773147784415184913131061709.90%42145418.8931114411910005904342.40%2837526021.0700100562
6Sam MortonWhalersC77363874-1141099852357018515.32%43124716.20101328000001348.59%8873327031.1900101237
7Ozzy WiesblattWhalersRW85363874152101068231210117411.54%41127615.0100001000006236.76%1855818011.1600101236
8Vladimir TarasenkoWhalersLW/RW85292958-320134821947111414.95%38151217.80189211770000100031.43%1054719120.7700000402
9Devon ToewsWhalersD85646526754415119261823.13%160200123.55178271830000111210%03172000.5200010122
10Barrett HaytonWhalersC/LW85182139-12204367145458112.41%158269.72000080003491156.14%4722811000.9403000021
11Simon BenoitWhalersD85331345982024615417063621.76%166198823.3912323211000087000%01656000.3400102001
12Nick BlankenburgWhalersD8552833-61008813712756603.94%101163919.2825711156000098000%02350100.4000000010
13David SavardWhalersD8522830-101808612111546371.74%121170520.0610111170000082010%01464000.3500000001
14Daniel WalcottWhalersLW85101727075797885325811.76%23121614.3100000000003044.23%521122000.4400010100
15Jared McCannWhalersC/LW74101222-1220304692306210.87%166699.051012250001221038.10%63219000.6600000010
16Jani HakanpaaWhalersD81210121101091525927253.39%76107013.22101354000036010%0325000.2200101010
17Ryan DonatoWolves (HAR)C/LW/RW82810-5401011227159.09%514117.6900002000021053.13%12840001.4100000002
18Urho VaakanainenWhalersD581910112027615518321.82%7293016.050000000003000%01039000.2100000000
19Sam BennettWolves (HAR)C8235-522102213348225.88%214317.90011121000040059.70%13445000.7000011000
20Tory DelloWhalersD56044-91158153406180%6089115.910000000000000%0524000.0900100000
21Daniel TorgerssonWolves (HAR)LW1111239561142625.00%2948.5800000000020033.33%302000.4200010000
22Keaton MastrodonatoWhalersC/LW/RW59112440161411269.09%71973.3400003000001051.72%2911000.2000000000
23Mathieu OlivierWolves (HAR)LW/RW1011-120000000%11111.470000000000000%110001.7400000000
Statistiques d’équipe totales ou en moyenne1530359593952-243761001725183735121189202610.22%11512537816.593967106279194200018840431653.66%54685765736140.75112757363749
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
1Elvis MerzlikinsWhalers64312450.8974.1935094024523851344320.7147639537
2Cayden PrimeauWhalers32131020.8993.941616001061047652200.75042263120
Statistiques d’équipe totales ou en moyenne96443470.8984.115125403513432199652118572657


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrei KuzmenkoWhalersLW/RW301996-02-04RUSNo194 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm3,336,000$166,800$3,336,000$166,800$No---------------------------Lien
Barrett HaytonWhalersC/LW252000-06-09CANNo200 Lbs6 ft1NoNoN/ANoYes32025-10-22FalseFalsePro & Farm3,370,000$168,500$3,370,000$168,500$No3,370,000$3,370,000$-------3,370,000$3,370,000$-------NoNo-------Lien
Cayden PrimeauWhalersG261999-08-11USANo205 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm983,000$49,150$983,000$49,150$No---------------------------Lien
Daniel WalcottWhalersLW321994-02-19CANNo178 Lbs6 ft0NoNoTrade2025-02-04NoYes12025-08-28FalseFalsePro & Farm4,000,000$200,000$4,000,000$200,000$No---------------------------Lien
David SavardWhalersD351990-10-22CANNo235 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm7,120,000$356,000$7,120,000$356,000$No---------------------------Lien / Lien NHL
Devon ToewsWhalersD321994-02-21CANNo191 Lbs6 ft1NoNoTrade2025-12-08NoYes1FalseFalsePro & Farm3,312,000$165,600$3,312,000$165,600$No---------------------------Lien / Lien NHL
Elvis MerzlikinsWhalersG321994-04-13LATNo190 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm3,179,000$158,950$3,179,000$158,950$No---------------------------Lien
Jani HakanpaaWhalersD341992-03-31FINNo218 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm4,755,000$237,750$4,755,000$237,750$No---------------------------Lien
Jared McCannWhalersC/LW301996-05-31CANNo191 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm3,560,000$178,000$3,560,000$178,000$No---------------------------Lien / Lien NHL
Jordan StaalWhalersC371988-09-10CANNo220 Lbs6 ft4NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm5,650,000$282,500$5,650,000$282,500$No5,650,000$5,650,000$-------5,650,000$5,650,000$-------NoNo-------Lien / Lien NHL
Keaton MastrodonatoWhalersC/LW/RW252000-09-24BCNo205 Lbs6 ft0NoNoFree AgentNoYes12024-10-16FalseFalsePro & Farm950,000$47,500$950,000$47,500$No---------------------------Lien
Kyle PalmieriWhalersC/LW/RW351991-02-01USANo195 Lbs5 ft11NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm5,650,000$282,500$5,650,000$282,500$No5,650,000$5,650,000$-------5,650,000$5,650,000$-------NoNo-------Lien / Lien NHL
Mikael BacklundWhalersC371989-03-17SWENo206 Lbs6 ft0NoNoAssign Manually2025-01-17NoYes32025-11-06FalseFalsePro & Farm5,650,000$282,500$5,650,000$282,500$No5,650,000$5,650,000$-------5,650,000$5,650,000$-------NoNo-------Lien / Lien NHL
Nick BlankenburgWhalersD281998-05-12USANo177 Lbs5 ft9NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm3,550,000$177,500$3,550,000$177,500$No3,550,000$3,550,000$-------3,550,000$3,550,000$-------NoNo-------Lien
Ozzy WiesblattWhalersRW242002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm863,333$43,167$863,333$43,167$No---------------------------Lien
Paul CotterWhalersC/LW/RW261999-11-16USANo213 Lbs6 ft2NoNoTrade2025-01-22NoYes1FalseFalsePro & Farm856,000$42,800$856,000$42,800$No---------------------------Lien
Sam MortonWhalersC261999-07-28USAYes185 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$47,500$950,000$47,500$No---------------------------Lien
Simon BenoitWhalersD271998-09-19CANNo211 Lbs6 ft4NoNoN/ANoYes32025-10-22FalseFalsePro & Farm4,107,000$205,350$4,107,000$205,350$No4,107,000$4,107,000$-------4,107,000$4,107,000$-------NoNo-------Lien / Lien NHL
Tory DelloWhalersD291997-02-14USANo205 Lbs6 ft0NoNoTrade2025-02-04NoYes12025-08-28FalseFalsePro & Farm4,000,000$200,000$4,000,000$200,000$No---------------------------Lien
Ty YoungWhalersG212004-09-11CANYes183 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,245,000$62,250$1,245,000$62,250$No1,245,000$1,245,000$-------1,245,000$1,245,000$-------NoNo-------Lien
Urho VaakanainenWhalersD271999-01-01FINNo205 Lbs6 ft2NoNoTrade2025-02-04NoYes32025-10-17FalseFalsePro & Farm1,893,000$94,650$1,893,000$94,650$No1,893,000$1,893,000$-------1,893,000$1,893,000$-------NoNo-------Lien / Lien NHL
Vladimir TarasenkoWhalersLW/RW341991-12-13RUSNo219 Lbs6 ft1NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm6,255,000$312,750$6,255,000$312,750$No6,255,000$--------6,255,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.64200 Lbs6 ft11.773,419,742$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,234,333$37,370,000$31,115,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterJordan StaalKyle Palmieri30005
2Andrei KuzmenkoMikael BacklundVladimir Tarasenko30005
3Daniel WalcottSam MortonOzzy Wiesblatt30005
4Jared McCannBarrett HaytonKyle Palmieri10005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon ToewsSimon Benoit40041
2David SavardNick Blankenburg30041
3Urho VaakanainenJani Hakanpaa30041
4Devon ToewsSimon Benoit0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterJordan StaalKyle Palmieri60014
2Andrei KuzmenkoMikael BacklundVladimir Tarasenko40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon ToewsSimon Benoit60041
2David SavardNick Blankenburg40041
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle PalmieriPaul Cotter60050
2Jordan StaalAndrei Kuzmenko40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon ToewsSimon Benoit60050
2David SavardNick Blankenburg40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Palmieri60050Devon ToewsSimon Benoit60050
2Jordan Staal40050David SavardNick Blankenburg40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle PalmieriPaul Cotter60041
2Jordan StaalAndrei Kuzmenko40041
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon ToewsSimon Benoit60041
2David SavardNick Blankenburg40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterMikael BacklundKyle PalmieriDevon ToewsSimon Benoit
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterMikael BacklundKyle PalmieriDevon ToewsSimon Benoit
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Cotter, Andrei Kuzmenko, Vladimir TarasenkoPaul Cotter, Andrei KuzmenkoPaul Cotter
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Blankenburg, Simon Benoit, Devon ToewsNick BlankenburgNick Blankenburg, Devon Toews
Tirs de pénalité
Kyle Palmieri, Jordan Staal, Mikael Backlund, Barrett Hayton, Paul Cotter
Gardien
#1 : Elvis Merzlikins, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Kyle Palmieri, Jordan Staal, Mikael Backlund, Barrett Hayton, Paul Cotter, Andrei Kuzmenko, Vladimir Tarasenko, Sam Morton, Ozzy Wiesblatt, Daniel Walcott
Lignes de défense personnalisées en prolongation
Devon Toews, Simon Benoit, David Savard, Nick Blankenburg, Urho Vaakanainen


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche20101000712-51010000017-61000100065120.5007121900420169252815172302459111.11%10100.00%01198218454.85%924181750.85%812143156.74%402142193719
2Blackhawks2020000047-31010000024-21010000023-100.000471100040075203718071221038400.00%4250.00%01198218454.85%924181750.85%812143156.74%412339183818
3Blue Jackets504001001123-1230200100817-92020000036-310.1001118290063201735965463203671910818211.11%70100.00%01198218454.85%924181750.85%812143156.74%9751113489448
4Blues2110000010641010000035-21100000071620.5001015251024407924312409526443400.00%2150.00%01198218454.85%924181750.85%812143156.74%392143173719
5Bruins21100000880110000005321010000035-220.500811190023309032243408639533600.00%000%01198218454.85%924181750.85%812143156.74%412342163619
6Canadiens421001001618-232000100131121010000037-450.62516244000664018473496201584512888225.00%6183.33%01198218454.85%924181750.85%812143156.74%875181347235
7Canucks220000001394110000006331100000076141.000132134003910893042170833311496116.67%3233.33%01198218454.85%924181750.85%812143156.74%462839163317
8Capitals513001001217-52010010069-33120000068-230.30012183000453020291624812368119998112.50%7442.86%01198218454.85%924181750.85%812143156.74%9351120448642
9Coyotes220000001156110000006421100000051441.00011172800452077323312053204404125.00%20100.00%01198218454.85%924181750.85%812143156.74%391937194221
10Devils513000102024-430200010816-821100000128440.4002031510049612138656668201543810422522.73%9277.78%01198218454.85%924181750.85%812143156.74%10353103489750
11Ducks31100001131301010000034-121000001109130.500132033007330137375446414245286014428.57%5180.00%01198218454.85%924181750.85%812143156.74%633669285225
12Flames1010000035-2000000000001010000035-200.0003580012004316171004721222200.00%10100.00%01198218454.85%924181750.85%812143156.74%1810239188
13Flyers5410000032257321000001916322000000139480.800325284008111302207569760200633511614321.43%6266.67%01198218454.85%924181750.85%812143156.74%1126595429249
14Golden Knights211000001314-11010000069-31100000075220.50013263900283095324122060186347228.57%3166.67%01198218454.85%924181750.85%812143156.74%452838173618
15Islanders7420000131265321000001073421000012119290.6433150810091210027282111758308911211914214.29%60100.00%01198218454.85%924181750.85%812143156.74%139791636312260
16Jets21001000743110000005321000100021141.0007132000132183232336181318405240.00%40100.00%01198218454.85%924181750.85%812143156.74%382144193718
17Kings2110000059-4110000003121010000028-620.5005813001310771629320873216396116.67%3166.67%01198218454.85%924181750.85%812143156.74%422341183518
18Lightning21100000810-2110000006331010000027-520.5008132100233080352718087249366116.67%20100.00%01198218454.85%924181750.85%812143156.74%392243183618
19Maple Leafs211000008621010000045-11100000041320.500815230035009127382607826637400.00%3166.67%01198218454.85%924181750.85%812143156.74%432541183417
20Oilers2110000078-1110000004221010000036-320.50071017001330771935230873214376116.67%7185.71%01198218454.85%924181750.85%812143156.74%402242183718
21Panthers211000001113-21010000047-31100000076120.500111930001460101264530075218381000.00%40100.00%01198218454.85%924181750.85%812143156.74%472736173519
22Penguins531001002215721000100129332100000106470.7002236581010660182765352119060811213215.38%4175.00%01198218454.85%924181750.85%812143156.74%1045598489951
23Predators20200000711-41010000047-31010000034-100.000712190013301013828350682613354125.00%4175.00%01198218454.85%924181750.85%812143156.74%442637183717
24Rangers540001002717102100010011110330000001661090.9002743700081180203618161019065141171417.14%7185.71%01198218454.85%924181750.85%812143156.74%10557102459348
25Red Wings21001000862110000004311000100043141.0008152300025183262530272266372150.00%3166.67%01198218454.85%924181750.85%812143156.74%412341183717
26Sabres2110000010100110000007521010000035-220.5001020300032509233283107230642000%30100.00%01198218454.85%924181750.85%812143156.74%412241173719
27Senators220000001275110000006511100000062441.00012213300264093273828094264345360.00%2150.00%01198218454.85%924181750.85%812143156.74%362250183215
28Sharks22000000945110000005321100000041341.000916250033307827163506733144722100.00%7185.71%01198218454.85%924181750.85%812143156.74%392041203817
29Stars2010100069-3100010004311010000026-420.500681400041175341721379312535400.00%50100.00%01198218454.85%924181750.85%812143156.74%402245193718
30Wild20200000914-51010000037-41010000067-100.00091726001620782925240923322411100.00%6350.00%01198218454.85%924181750.85%812143156.74%361949183316
Total85393404512360355542191601510178189-114320180300218216616950.559360593953209915010653512121112271053323434115138017252323916.81%1262877.78%01198218454.85%924181750.85%812143156.74%175397818137791563786
_Since Last GM Reset85393404512360355542191601510178189-114320180300218216616950.559360593953209915010653512121112271053323434115138017252323916.81%1262877.78%01198218454.85%924181750.85%812143156.74%175397818137791563786
_Vs Conference55272001511236225112813900510123127-4271411010011139815640.582236386622106888782227980977168323225071820111201442315.97%691479.71%01198218454.85%924181750.85%812143156.74%113563311775011009512
_Vs Division3717140041115514781867004107485-111911700001816219410.55415524840310495748114655304974242115284811457751031615.53%461078.26%01198218454.85%924181750.85%812143156.74%756413797341687351

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8595W3360593953351234341151380172520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8539344512360355
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4219161510178189
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4320183002182166
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2323916.81%1262877.78%0
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
12111227105332991501065
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
1198218454.85%924181750.85%812143156.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
175397818137791563786


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
11Whalers1Penguins3LSommaire du match
215Whalers3Rangers2WSommaire du match
330Blue Jackets7Whalers5LSommaire du match
557Devils8Whalers2LSommaire du match
668Canadiens5Whalers4LXSommaire du match
783Whalers4Islanders3WSommaire du match
899Flyers7Whalers5LSommaire du match
9112Whalers7Islanders4WSommaire du match
10121Whalers1Capitals3LSommaire du match
12141Islanders4Whalers2LSommaire du match
14161Whalers8Devils2WSommaire du match
15175Blue Jackets7Whalers1LSommaire du match
16195Blue Jackets3Whalers2LXSommaire du match
18208Whalers2Blue Jackets3LSommaire du match
19216Whalers7Flyers5WSommaire du match
20235Islanders2Whalers5WSommaire du match
21257Penguins6Whalers5LXSommaire du match
23269Whalers3Islanders4LSommaire du match
24289Rangers6Whalers7WSommaire du match
26312Golden Knights9Whalers6LSommaire du match
27323Whalers7Golden Knights5WSommaire du match
28344Whalers7Islanders8LXXSommaire du match
29356Canucks3Whalers6WSommaire du match
31372Whalers3Oilers6LSommaire du match
32382Sharks3Whalers5WSommaire du match
33405Flyers6Whalers9WSommaire du match
35419Whalers5Penguins1WSommaire du match
36429Whalers7Ducks5WSommaire du match
37448Senators5Whalers6WSommaire du match
38460Whalers6Avalanche5WXSommaire du match
39476Predators7Whalers4LSommaire du match
41502Devils3Whalers4WXXSommaire du match
42516Whalers2Jets1WXSommaire du match
43533Devils5Whalers2LSommaire du match
45553Whalers6Senators2WSommaire du match
46567Panthers7Whalers4LSommaire du match
47581Whalers4Sharks1WSommaire du match
49596Whalers2Lightning7LSommaire du match
50603Sabres5Whalers7WSommaire du match
52629Wild7Whalers3LSommaire du match
53636Whalers3Canadiens7LSommaire du match
54654Whalers2Kings8LSommaire du match
55664Whalers6Wild7LSommaire du match
56673Red Wings3Whalers4WSommaire du match
58699Maple Leafs5Whalers4LSommaire du match
59713Whalers3Sabres5LSommaire du match
60727Kings1Whalers3WSommaire du match
61737Whalers2Blackhawks3LSommaire du match
63756Oilers2Whalers4WSommaire du match
64775Whalers3Flames5LSommaire du match
65784Whalers5Coyotes1WSommaire du match
66796Ducks4Whalers3LSommaire du match
68816Whalers4Red Wings3WXSommaire du match
69828Bruins3Whalers5WSommaire du match
71850Jets3Whalers5WSommaire du match
73873Rangers5Whalers4LXSommaire du match
74884Whalers4Maple Leafs1WSommaire du match
75898Whalers1Blue Jackets3LSommaire du match
76905Whalers3Bruins5LSommaire du match
77922Blues5Whalers3LSommaire du match
79943Whalers4Devils6LSommaire du match
80951Avalanche7Whalers1LSommaire du match
81971Capitals4Whalers3LXSommaire du match
83991Whalers3Ducks4LXXSommaire du match
841003Whalers7Blues1WSommaire du match
851012Coyotes4Whalers6WSommaire du match
871028Whalers3Predators4LSommaire du match
881043Capitals5Whalers3LSommaire du match
891063Penguins3Whalers7WSommaire du match
901072Whalers7Panthers6WSommaire du match
921093Canadiens2Whalers4WSommaire du match
931098Whalers6Rangers3WSommaire du match
951127Canadiens4Whalers5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971152Whalers7Rangers1WSommaire du match
981161Blackhawks4Whalers2LSommaire du match
1001183Stars3Whalers4WXSommaire du match
1011195Whalers7Canucks6WSommaire du match
1031215Lightning3Whalers6WSommaire du match
1041222Whalers2Stars6LSommaire du match
1061245Islanders1Whalers3WSommaire du match
1071250Whalers4Penguins2WSommaire du match
1091262Whalers2Capitals4LSommaire du match
1111278Whalers6Flyers4WSommaire du match
1121295Flyers3Whalers5WSommaire du match
1131301Whalers3Capitals1WSommaire du match
1191333Flames-Whalers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654024212
Assistance170,584153,59168,962130,66429,120
Attendance PCT67.69%73.14%82.10%77.78%69.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 13165 - 73.14% 1,447,979$60,815,111$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
71,576,485$ 75,234,333$ 75,234,333$ 1,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
626,953$ 70,626,514$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,447,979$ 6 635,286$ 3,811,716$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
3,811,716$ 71,913,067$ 69,549,330$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,388,232$ 111,768$ 74,500,000$ 15,888,232$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kyle PalmieriAGE:35PO:75OV:76
Jared McCannAGE:30PO:76OV:74
Ryan DonatoAGE:30PO:77OV:73
Troy TerryAGE:28PO:73OV:72
Barrett HaytonAGE:25PO:72OV:72
Paul CotterAGE:26PO:69OV:71
Andrei KuzmenkoAGE:30PO:68OV:70
Vladimir TarasenkoAGE:34PO:67OV:70
Mathieu OlivierAGE:29PO:70OV:69
Eetu LuostarinenAGE:27PO:66OV:67
Samuel Honzek (R)AGE:21PO:58OV:59
Samuel Savoie (R)AGE:22PO:53OV:56
Daniel WalcottAGE:32PO:51OV:55
Carsen TwarynskiAGE:28PO:51OV:53
Artem Shlaine (R)AGE:24PO:51OV:53
Quinn Olson (R)AGE:25PO:51OV:52
Keaton MastrodonatoAGE:25PO:47OV:50
Daniel TorgerssonAGE:24PO:49OV:49
Kyle PalmieriAGE:35PO:75OV:76
Jordan StaalAGE:37PO:72OV:75
Jared McCannAGE:30PO:76OV:74
Mikael BacklundAGE:37PO:71OV:74
Ryan DonatoAGE:30PO:77OV:73
Sam BennettAGE:29PO:75OV:73
Barrett HaytonAGE:25PO:72OV:72
Paul CotterAGE:26PO:69OV:71
Eetu LuostarinenAGE:27PO:66OV:67
Matt Savoie (R)AGE:22PO:64OV:65
Mikey EyssimontAGE:29PO:62OV:64
Sam Morton (R)AGE:26PO:61OV:64
Artem Shlaine (R)AGE:24PO:51OV:53
Quinn Olson (R)AGE:25PO:51OV:52
Keaton MastrodonatoAGE:25PO:47OV:50
Kyle PalmieriAGE:35PO:75OV:76
Ryan DonatoAGE:30PO:77OV:73
Troy TerryAGE:28PO:73OV:72
Paul CotterAGE:26PO:69OV:71
Andrei KuzmenkoAGE:30PO:68OV:70
Vladimir TarasenkoAGE:34PO:67OV:70
Mathieu OlivierAGE:29PO:70OV:69
Jack QuinnAGE:24PO:69OV:68
Eetu LuostarinenAGE:27PO:66OV:67
Ozzy Wiesblatt (R)AGE:24PO:59OV:63
Aatu Jamsen (R)AGE:22PO:56OV:53
Artem Shlaine (R)AGE:24PO:51OV:53
Koehn Ziemmer (R)AGE:21PO:52OV:52
Quinn Olson (R)AGE:25PO:51OV:52
Keaton MastrodonatoAGE:25PO:47OV:50

Défense #1Défense #2Gardien
Devon ToewsAGE:32PO:66OV:75
Simon BenoitAGE:27PO:62OV:75
David SavardAGE:35PO:61OV:74
Nick BlankenburgAGE:28PO:62OV:71
Urho VaakanainenAGE:27PO:60OV:67
Ian Moore (R)AGE:24PO:54OV:60
William WallinderAGE:23PO:51OV:58
Jani HakanpaaAGE:34PO:47OV:57
Joakim Ryan (R)AGE:32PO:50OV:56
Tory DelloAGE:29PO:48OV:55
Aidan FulpAGE:26PO:47OV:55
Chris JandricAGE:27PO:49OV:54
Montana OnyebuchiAGE:26PO:46OV:54
Anton MalmstromAGE:26PO:49OV:53
Jeremie BuchelerAGE:26PO:49OV:52
Will MacKinnonAGE:26PO:48OV:52
Elvis MerzlikinsAGE:32PO:66OV:69
Cooper Black (R)AGE:24PO:63OV:66
Cayden PrimeauAGE:26PO:60OV:62
Jeremy BrodeurAGE:29PO:58OV:60
Ty Young (R)AGE:21PO:52OV:54

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aaron PionkWhalers2023144
Adam JechoWhalers202482
Alex BiegaWhalers00Lien
Alex PharandWhalers2023113
Andrei PedanWhalers00
Andrew OglevieWhalers00Lien
Arttu RuotsalainenWhalers00Lien
Artyom GalimovWhalers2020135
Austin LeviWhalers00
Ben HanowskiWhalers00
Benjamin BaumgartnerWhalers2020166
Benjamin MirageasWhalers201783
Brad McClureWhalers00Lien
Brady KeeperWhalers00Lien
Brent PedersenWhalers00Lien
Brock TrotterWhalers00
Cam ReidWhalers00
Cameron O'NeillWhalers2022162
Carl GunnarssonWhalers00Lien
Carter SotheranWhalers2023142
Cedric McnicollWhalers00
Chad LaRoseWhalers00
Chandler RomeoWhalers2021207
Chris HigginsWhalers00
Chris KellyWhalers00
Clark SeymourWhalers00
Colin CampbellWhalers00Lien
Conner BleackleyWhalers00Lien
Connor HurleyWhalers00
Dan SextonWhalers00
Drayson BowmanWhalers00
Dwight KingWhalers00
Edward WittchowWhalers00
Egor SerdyukWhalers2019174
Eli BarnettWhalers2022193
Emil JarventieWhalers2023173
Eriah HayesWhalers00
Eric TangradiWhalers00Lien
Ethan PhillipsWhalers2019112
FRANCOIS TREMBLAYWhalers2012154
Filip PyrochtaWhalers00
Francois BeaucheminWhalers00Lien
Francois BrassardWhalers2012177Lien
Garrett NoonanWhalers00
Grant BesseWhalers00
Harri PesonenWhalers00
Heikki RuohonenWhalers2024126
Hunter ShinkarukWhalers00Lien
Igor OzhiganovWhalers00
Ilya FedotovWhalers202152
Ilya SafonovWhalers2021176
Ivan KulbakovWhalers00
Jack BarWhalers2021145
Jaden LindoWhalers2014174
Jake DowellWhalers00
Jake HauswirthWhalers00
James NealWhalers00Lien
James WrightWhalers00
Jared StaalWhalers00
Jason GregoireWhalers00
Jeff ZatkoffWhalers00
Jeremy LorangerWhalers2025202
Jiri HudlerWhalers00
Joachim NermarkWhalers00
Joe CoxWhalers00Lien
Johan SundstromWhalers00
John EdwardhWhalers00
John MooreWhalers00Lien
John PiccinichWhalers2014103
Joonas JarvinenWhalers00
Julien NantelWhalers00Lien
Justin AddamoWhalers00Lien
Justin KruegerWhalers00
Justin PoggeWhalers00
Justin ShuggWhalers00
Juuso IkonenWhalers00
Juuso PuustinenWhalers00
Keaton ThompsonWhalers00Lien
Kodie CurranWhalers00Lien
Kyle LawsonWhalers00
Kyle WoodWhalers00Lien
Lane ScheidlWhalers00
Liam GreentreeWhalers202420
Liam PetterssonWhalers202562
Mads Kongsbak KlyvoWhalers2025118
Magnus NygrenWhalers00
Magnus PaajarviWhalers00
Mark BarberioWhalers00Lien
Markus LauridsenWhalers00
Matt LaheyWhalers2024206
Matteo MannWhalers2023206
Matthew KonanWhalers00
Matthew PistilliWhalers00
Matthew WedmanWhalers2019205Lien
Mattias LindstromWhalers00
Maxim ShalunovWhalers00
Michael RafflWhalers00Lien
Michael SchumacherWhalers00
Michal JordanWhalers00
Miguel FidlerWhalers2014144
Mike MurphyWhalers00
Nathan LieuwenWhalers00
Nick LarsonWhalers00
Nick MalikWhalers2022131
Oliver JosephsonWhalers2024113
Parker HolmesWhalers2025109
Pascal DupuisWhalers00
Patrick BajkovWhalers00
Patrick DwyerWhalers00
Paul KarpowichWhalers00
Peyton KettlesWhalers202547
R.J. UmbergerWhalers00
Raman HrabarenkaWhalers00
Rasus RissanenWhalers00
Reid McNeillWhalers00
Rushan RafikovWhalers00
Ryan LohinWhalers2016207Lien
Ryan SproulWhalers00
SAMUEL FEJESWhalers2012189
Samuel JungWhalers2025171
Samuel NoreauWhalers00
Scott GlennieWhalers00
Scott MoldenhauerWhalers00Lien
Scottie UpshallWhalers00
Sean B. CollinsWhalers00
Sergei ShumakovWhalers00
Sergey KalininWhalers00
Stepan ZvyaginWhalers2023204
Steven SeigoWhalers00
Stevie LeskovarWhalers2024175
Taylor GauthierWhalers00Lien
Thimo NicklWhalers2020104
Tommi KivistoWhalers00
Tommy WingelsWhalers00
Topias LeinonenWhalers202238
Tyler GanlyWhalers00
Tyler PeddleWhalers2023175
Tyler StahlWhalers00
Vladimir SobotkaWhalers00Lien
Will HorcoffWhalers202531
Yegor ZavraginWhalers202382
Zach BerzollaWhalers00Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Proposal for New Draft Rankings to Follow NHL for 2024

Par Gabriel Whiddon (Whalers) Le Monday 19th June 2023 / 9:55pm

Recently the Commish said the the current SIM allows him to use the bottom 5 teams for the draft lottery allowing those to move up a max of 5 spots. The current NHL uses a weighted system for all non-playoff teams where each of the 16 teams that miss the playoffs will have a chance to win with the teams earning significantly better odds at winning a high pick if they are lower in the standings. It’s also worth mentioning that a lottery win doesn’t guarantee one of the top-two picks in this year’s draft as teams can only jump a maximum of 10 spots, meaning that only the top 11 teams have a chance of landing the first overall pick. If a team ranked 12-16 ends up winning the lottery (unlikely but definitely possible) they could only jump up 10 spots to the sixth position, dropping every team below that spot by 1 spot. There is also a redraw for the second overall pick with the same rules applying of a team jumping a max of 10 spots.

I took this years Dechl final standings and assigned a team from the real NHL that finished in the exact same position from the real NHL standings and then used a site called Tankathon (https://www.tankathon.com/nhl) to redraw the teams for our draft. See chart below.

    2023 DECHL STANDINGS
(REV ORDER)
2023 NHL STANDINGS
(REV ORDER)
  2023 DECHL DRAFT ORDER
(Tankathon.com Mock Results)
DECHL TEAM - (NHL TEAM)
1   Philadelphia Flyers Anaheim Ducks   Columbus Blue Jackets - (MON) ↑4
2   Pittsburgh Penguins Columbus Blue Jackets   Vancouver Canucks - (CHI) ↑2
3   Vancouver Canucks Chicago Blackhawks   Philadelphia Flyers - (ANA) ↓2
4   Winnipeg Jets San Jose Sharks   Pittsburgh Penguins - (CBJ) ↓2
5   Columbus Blue Jackets Montreal Canadiens   Winnipeg Jets (SJS) - ↓1
6   Arizona Coyotes Arizona Coyotes   Arizona Coyotes
7   Montreal Canadiens Philadelphia Flyers   Montreal Canadiens
8   Las Vegas Golden Knights Washington Capitals   Las Vegas Golden Knights
9   Nashville Predators Detroit Red Wings   Nashville Predators
10   Chicago Blackhawks St. Louis Blues   Chicago Blackhawks
11   Tampa Bay Lightning Vancouver Canucks   Tampa Bay Lightning
12   Detroit Red Wings Ottawa Senators   Detroit Red Wings
13   Boston Bruins Buffalo Sabres   Boston Bruins
14   Minnesota Wild Pittsburgh Penguins   Minnesota Wild
15   Florida Panthers Nashville Preditors   Florida Panthers
16     Calgary Flames    

In this case I ran the Tankathon simulator only once and came up with these results. If we had used this system for the Bedard sweepstakes this year. The Columbus Blue Jackets would have won the lottery this year jumping 2 spots. In the redraw for the second overall pick the Vancouver Canucks would have scored with a 2 spot jump as well. I look forward to your thoughts.

Gabe Whiddon - Hartford Whalers

Voir commentaires (3)
Alec McMillan (Oilers) Le 21st June / 12:20am :

I do not mind changing the setting for future.... if someone wants to put a poll up on the forums server maybe?  Looks like sim now support multiple lottery winners (up to 3) and 16 teams so we can implement this.

Mark Budey (Capitals) Le 21st June / 1:33pm :

I like this idea 

Jesse OReilly (Blues) Le 24th June / 1:43am :

I like this!!

Nouveau commentaire



Whalers Historique de transactions

[1/23/2026 9:33:40 PM] Jeremy Brodeur was added to Whalers.



Pas de blessure ou de suspension.


Whalers 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

Whalers 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

Whalers 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

Whalers 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

Whalers 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