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Connexion

Whalers
GP: 72 | W: 34 | L: 31 | OTL: 7 | P: 75
GF: 304 | GA: 313 | PP%: 16.83% | PK%: 78.64%
DG: Gabriel Whiddon | Morale : 43 | Moyenne d’équipe : 67
Prochains matchs #1127 vs Canadiens

Centre de jeu
Canadiens
33-31-8, 74pts
2
4 Whalers
34-31-7, 75pts
Team Stats
L2SéquenceW4
17-15-3Fiche domicile16-15-5
16-16-5Fiche visiteur18-16-2
4-6-0Derniers 10 matchs6-2-2
3.82Buts par match 4.22
4.07Buts contre par match 4.35
11.86%Pourcentage en avantage numérique16.83%
81.85%Pourcentage en désavantage numérique78.64%
Whalers
34-31-7, 75pts
6
3 Rangers
27-41-3, 57pts
Team Stats
W4SéquenceL2
16-15-5Fiche domicile13-22-1
18-16-2Fiche visiteur14-19-2
6-2-2Derniers 10 matchs3-7-0
4.22Buts par match 3.94
4.35Buts contre par match 4.85
16.83%Pourcentage en avantage numérique16.27%
78.64%Pourcentage en désavantage numérique81.61%
Canadiens
33-31-8, 74pts
Jour 95
Whalers
34-31-7, 75pts
Statistiques d’équipe
L2SéquenceW4
17-15-3Fiche domicile16-15-5
16-16-5Fiche visiteur18-16-2
4-6-010 derniers matchs6-2-2
3.82Buts par match 4.22
4.07Buts contre par match 4.22
11.86%Pourcentage en avantage numérique16.83%
81.85%Pourcentage en désavantage numérique78.64%
Whalers
34-31-7, 75pts
Jour 97
Rangers
27-41-3, 57pts
Statistiques d’équipe
W4SéquenceL2
16-15-5Fiche domicile13-22-1
18-16-2Fiche visiteur14-19-2
6-2-210 derniers matchs3-7-0
4.22Buts par match 3.94
4.35Buts contre par match 3.94
16.83%Pourcentage en avantage numérique16.27%
78.64%Pourcentage en désavantage numérique81.61%
Blackhawks
41-29-2, 84pts
Jour 98
Whalers
34-31-7, 75pts
Statistiques d’équipe
W1SéquenceW4
23-12-0Fiche domicile16-15-5
18-17-2Fiche visiteur18-16-2
7-3-010 derniers matchs6-2-2
4.32Buts par match 4.22
4.15Buts contre par match 4.22
21.67%Pourcentage en avantage numérique16.83%
78.63%Pourcentage en désavantage numérique78.64%
Meneurs d'équipe
Kyle PalmieriButs
Kyle Palmieri
46
Jordan StaalPasses
Jordan Staal
53
Kyle PalmieriPoints
Kyle Palmieri
92
Plus/Moins
Keaton Mastrodonato
4
Victoires
Elvis Merzlikins
21
Pourcentage d’arrêts
Cayden Primeau
0.898

Statistiques d’équipe
Buts pour
304
4.22 GFG
Tirs pour
3008
41.78 Avg
Pourcentage en avantage numérique
16.8%
34 GF
Début de zone offensive
40.6%
Buts contre
313
4.35 GAA
Tirs contre
2935
40.76 Avg
Pourcentage en désavantage numérique
78.6%%
22 GA
Début de la zone défensive
33.0%
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
Assistance13,137
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 jour51,914,604$
Dépenses annuelles à ce jour58,235,479$
Revenus de la saison estimés10,094,506$
Dépenses de la saison estimées17,152,722$
Compte bancaire actuel76,672,576$
Compte bancaire projeté69,299,866$


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
1Jordan StaalX100.0083469385817092639779717725989972727503735,650,000$
2Kyle PalmieriXXX96.0069429279707999803777856946868975817503535,650,000$
3Mikael BacklundX100.0064428874727993798770748232909371797403735,650,000$
4Jared McCannXX100.0066429377717599795182787445787976567402913,560,000$
5Barrett HaytonXX100.0062528685747399739475756525686872677202533,370,000$
6Paul CotterXXX100.009757789278649667526476638566656982710261856,000$
7Andrei KuzmenkoXX100.0060419369697083822582735967666568827003013,336,000$
8Vladimir TarasenkoXX100.0072439873786897712573686161849067697003426,255,000$
9Sam Morton (R)X100.007568926868828764786164635746466282640261950,000$
10Ozzy Wiesblatt (R)X100.006465627067808564506163585746466083620241863,333$
11Daniel WalcottX100.0071659063657076485047465844464652655503214,000,000$
12Keaton MastrodonatoXXX100.007774876074363543553743604245454835500251950,000$
13Devon ToewsX100.0064429083719195692574548425747766777503213,312,000$
14Simon BenoitX100.0093707887827095632553488925686862687502734,107,000$
15David SavardX100.0069448668847092612556469425858761647303517,120,000$
16Nick BlankenburgX100.0073428883627890682556508425605962677102733,550,000$
17Urho VaakanainenX100.0062429074766970612560477825656460726702731,893,000$
18Jani HakanpaaX100.0087829980823331422529406537464648515703414,755,000$
Rayé
1Tory DelloX100.0077748462744546462535396038464648425502914,000,000$
Équipe Mineure
1Ryan DonatoXXX100.0078548674707397776781886167747577547303021,765,000$
2Troy TerryXX100.0057419279707994833683786059727273547202822,361,000$
3Sam BennettX100.0085786778727695778277845925808575397202912,050,000$
4Mathieu OlivierXX100.0099995481856799603763717225676870656902911,240,000$
5Jack QuinnX100.0065429277716891732975725885646469546802421,811,000$
6Eetu LuostarinenXXX100.0088469084737098594264597225707366496702711,148,000$
7Matt Savoie (R)X100.0070628891648185638062636060464665626502231,471,000$
8Mikey EyssimontX100.0079677783715794623461656125666762526402921,543,000$
9Samuel Honzek (R)X100.0077728973746972555051556253464659565902131,277,000$
10Samuel Savoie (R)X100.0072688967707987495048455945464654535602231,289,000$
11Carsen TwarynskiX100.0075738364735050495048456044464652245302811,044,000$
12Artem Shlaine (R)XXX100.0078699981703532486148436142454552195302431,339,000$
13Ian Moore (R)X100.0079768682785252542550436141464655386002431,382,000$
14William WallinderX100.0083789467805253502545406438464652345802331,600,000$
15Joakim Ryan (R)X100.0075679362676874452534405838464850405603221,414,000$
16Aidan FulpX100.008179866279434348254039613747464751550261950,000$
17Montana OnyebuchiX100.007282536382525445253340563946464749540261950,000$
18Chris JandricX100.007166888066353250254738573746465057540272800,000$
19Aatu Jamsen (R)X100.0073678864684645515044566054464656315302231,266,000$
20Koehn Ziemmer (R)X100.0084789980783230445038446442444452205202131,265,000$
21Quinn Olson (R)XXX100.0069677280673633486047445842444451195202431,333,000$
22Daniel TorgerssonX100.007674816074363544503844604244444920490241925,000$
23Anton MalmstromX100.008078876078363444253439613745454910530261950,000$
24Jeremie BuchelerX100.008477996077353441252839633744444919520261950,000$
25Will MacKinnonX100.007272736172464744253439573744444820520261950,000$
MOYENNE D’ÉQUIPE99.91756386747361715944565665425859605263
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 Merzlikins98.006683807865666969646695666767636803213,179,000$
2Cayden Primeau100.00595453816553746165598550506079620261983,000$
Rayé
1Ty Young (R)100.005140507454515456545430444452525402131,245,000$
Équipe Mineure
1Cooper Black (R)100.005940509261687574767330454563786602411,000,000$
2Jeremy Brodeur100.004440506845904448898145464558715902911,000,000$
MOYENNE D’ÉQUIPE99.6056515779586663627067575050606962
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/RW72464692-71157112535410523212.99%36153721.35121224471760003925134.43%2445324131.2003100558
2Andrei KuzmenkoWhalersLW/RW7237458209550812909819912.76%29135018.75369241440000746025.81%624316221.2100001535
3Mikael BacklundWhalersC72314576-5120581212358112213.19%38120816.7822414106000004260.71%8682222001.2613000334
4Jordan StaalWhalersC72205373-611598109227841238.81%35126017.507815331770003262161.57%13743727001.1603010313
5Paul CotterWhalersC/LW/RW64274471-6375153742599114210.42%34120618.8521113341650004704342.53%2616621021.1800100462
6Sam MortonWhalersC643327600121084721995515416.58%35103416.17101328000001348.83%7272225031.1600101225
7Ozzy WiesblattWhalersRW722931603421095722558414511.37%35106314.7700001000004137.50%1765315001.1300101035
8Vladimir TarasenkoWhalersLW/RW72272754-122011865170629915.88%31128317.82189201560000100030.61%983912120.8400000402
9Devon ToewsWhalersD7224042-2753713116756691.20%139167123.2217824154000086000%02462000.5000010011
10Barrett HaytonWhalersC/LW72161834-11203860137397811.68%1372610.09000060003411155.96%4362610000.9402000021
11Simon BenoitWhalersD7232730-3671520713714554542.07%142166923.1911219182000073000%01547000.3600101001
12Nick BlankenburgWhalersD7242428-81007012010949543.67%90139019.312359136000080000%02145000.4000000010
13David SavardWhalersD7212324-121807710710639310.94%109145920.270008150000067010%01254000.3300000000
14Jared McCannWhalersC/LW61101121-1100244284265311.90%155819.531012240001201037.10%62194000.7200000010
15Daniel WalcottWhalersLW7281220275606671295311.27%20100413.9500000000003041.30%461020000.4000010100
16Jani HakanpaaWhalersD682911-3101075434620154.35%6286012.66101353000034010%0316000.2600101010
17Ryan DonatoWolves (HAR)C/LW/RW82810-5401011227159.09%514117.6900002000021053.13%12840001.4100000002
18Urho VaakanainenWhalersD45178-310018484313282.33%5672216.050000000003000%0630000.2200000000
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/RW46112440161411269.09%71944.2200002000001051.72%2911000.2100000000
23Mathieu OlivierWolves (HAR)LW/RW1011-120000000%11111.470000000000000%110001.7400000000
Statistiques d’équipe totales ou en moyenne1296303507810-97319951468157530081010171810.07%9962150616.59345993241169200014692331453.45%46494864824120.75111756272939
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 MerzlikinsWhalers51212150.8934.4627570020519091085220.7147509337
2Cayden PrimeauWhalers31131020.8983.941585001041024636200.75042250120
Statistiques d’équipe totales ou en moyenne82343170.8954.274342003092933172142117259457


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$750,600$3,336,000$750,600$No---------------------------Lien
Barrett HaytonWhalersC/LW252000-06-09CANNo200 Lbs6 ft1NoNoN/ANoYes32025-10-22FalseFalsePro & Farm3,370,000$758,250$3,370,000$758,250$No3,370,000$3,370,000$-------3,370,000$3,370,000$-------NoNo-------Lien
Cayden PrimeauWhalersG261999-08-11USANo205 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm983,000$221,175$983,000$221,175$No---------------------------Lien
Daniel WalcottWhalersLW321994-02-19CANNo178 Lbs6 ft0NoNoTrade2025-02-04NoYes12025-08-28FalseFalsePro & Farm4,000,000$900,000$4,000,000$900,000$No---------------------------Lien
David SavardWhalersD351990-10-22CANNo235 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm7,120,000$1,602,000$7,120,000$1,602,000$No---------------------------Lien / Lien NHL
Devon ToewsWhalersD321994-02-21CANNo191 Lbs6 ft1NoNoTrade2025-12-08NoYes1FalseFalsePro & Farm3,312,000$745,200$3,312,000$745,200$No---------------------------Lien / Lien NHL
Elvis MerzlikinsWhalersG321994-04-13LATNo190 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm3,179,000$715,275$3,179,000$715,275$No---------------------------Lien
Jani HakanpaaWhalersD341992-03-31FINNo218 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm4,755,000$1,069,875$4,755,000$1,069,875$No---------------------------Lien
Jared McCannWhalersC/LW291996-05-31CANNo191 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm3,560,000$801,000$3,560,000$801,000$No---------------------------Lien / Lien NHL
Jordan StaalWhalersC371988-09-10CANNo220 Lbs6 ft4NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm5,650,000$1,271,250$5,650,000$1,271,250$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$213,750$950,000$213,750$No---------------------------Lien
Kyle PalmieriWhalersC/LW/RW351991-02-01USANo195 Lbs5 ft11NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm5,650,000$1,271,250$5,650,000$1,271,250$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$1,271,250$5,650,000$1,271,250$No5,650,000$5,650,000$-------5,650,000$5,650,000$-------NoNo-------Lien / Lien NHL
Nick BlankenburgWhalersD271998-05-12USANo177 Lbs5 ft9NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm3,550,000$798,750$3,550,000$798,750$No3,550,000$3,550,000$-------3,550,000$3,550,000$-------NoNo-------Lien
Ozzy WiesblattWhalersRW242002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm863,333$194,250$863,333$194,250$No---------------------------Lien
Paul CotterWhalersC/LW/RW261999-11-16USANo213 Lbs6 ft2NoNoTrade2025-01-22NoYes1FalseFalsePro & Farm856,000$192,600$856,000$192,600$No---------------------------Lien
Sam MortonWhalersC261999-07-28USAYes185 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$213,750$950,000$213,750$No---------------------------Lien
Simon BenoitWhalersD271998-09-19CANNo211 Lbs6 ft4NoNoN/ANoYes32025-10-22FalseFalsePro & Farm4,107,000$924,075$4,107,000$924,075$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$900,000$4,000,000$900,000$No---------------------------Lien
Ty YoungWhalersG212004-09-11CANYes183 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,245,000$280,125$1,245,000$280,125$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$425,925$1,893,000$425,925$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$1,407,375$6,255,000$1,407,375$No6,255,000$--------6,255,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.55200 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%01014187354.14%782152351.35%689121956.52%402142193719
2Blackhawks1010000023-1000000000001010000023-100.0002460002004210221003313420200.00%2150.00%01014187354.14%782152351.35%689121956.52%2112199198
3Blue Jackets504001001123-1230200100817-92020000036-310.1001118290063201735965463203671910818211.11%70100.00%01014187354.14%782152351.35%689121956.52%9751113489448
4Blues2110000010641010000035-21100000071620.5001015251024407924312409526443400.00%2150.00%01014187354.14%782152351.35%689121956.52%392143173719
5Bruins21100000880110000005321010000035-220.500811190023309032243408639533600.00%000%01014187354.14%782152351.35%689121956.52%412342163619
6Canadiens311001001114-3210001008711010000037-430.500111728002630143524249013133666400.00%30100.00%01014187354.14%782152351.35%689121956.52%663960245326
7Canucks11000000633110000006330000000000021.000610160006004310231003421733300.00%10100.00%01014187354.14%782152351.35%689121956.52%2413187179
8Capitals30200100712-52010010069-31010000013-210.167710170013301244945291150571759400.00%6433.33%01014187354.14%782152351.35%689121956.52%532975275125
9Coyotes220000001156110000006421100000051441.00011172800452077323312053204404125.00%20100.00%01014187354.14%782152351.35%689121956.52%391937194221
10Devils513000102024-430200010816-821100000128440.4002031510049612138656668201543810422522.73%9277.78%01014187354.14%782152351.35%689121956.52%10353103489750
11Ducks31100001131301010000034-121000001109130.500132033007330137375446414245286014428.57%5180.00%01014187354.14%782152351.35%689121956.52%633669285225
12Flames1010000035-2000000000001010000035-200.0003580012004316171004721222200.00%10100.00%01014187354.14%782152351.35%689121956.52%1810239188
13Flyers321000002118321100000141311100000075240.667213556005970138414948012141297610220.00%20100.00%01014187354.14%782152351.35%689121956.52%673857255429
14Golden Knights211000001314-11010000069-31100000075220.50013263900283095324122060186347228.57%3166.67%01014187354.14%782152351.35%689121956.52%452838173618
15Islanders632000012825321100000761421000012119270.5832845730091180236709567826781810214214.29%40100.00%01014187354.14%782152351.35%689121956.52%119681405310552
16Jets21001000743110000005321000100021141.0007132000132183232336181318405240.00%40100.00%01014187354.14%782152351.35%689121956.52%382144193718
17Kings2110000059-4110000003121010000028-620.5005813001310771629320873216396116.67%3166.67%01014187354.14%782152351.35%689121956.52%422341183518
18Lightning1010000027-5000000000001010000027-500.000235000200401518704195183133.33%000%01014187354.14%782152351.35%689121956.52%2011209199
19Maple Leafs211000008621010000045-11100000041320.500815230035009127382607826637400.00%3166.67%01014187354.14%782152351.35%689121956.52%432541183417
20Oilers2110000078-1110000004221010000036-320.50071017001330771935230873214376116.67%7185.71%01014187354.14%782152351.35%689121956.52%402242183718
21Panthers211000001113-21010000047-31100000076120.500111930001460101264530075218381000.00%40100.00%01014187354.14%782152351.35%689121956.52%472736173519
22Penguins42100100181352100010012932110000064250.62518304810954014560434111554669110220.00%3166.67%01014187354.14%782152351.35%689121956.52%834480397940
23Predators20200000711-41010000047-31010000034-100.000712190013301013828350682613354125.00%4175.00%01014187354.14%782152351.35%689121956.52%442637183717
24Rangers430001002016421000100111102200000095470.87520325200695016748695001715912871119.09%6183.33%01014187354.14%782152351.35%689121956.52%834484357438
25Red Wings21001000862110000004311000100043141.0008152300025183262530272266372150.00%3166.67%01014187354.14%782152351.35%689121956.52%412341183717
26Sabres2110000010100110000007521010000035-220.5001020300032509233283107230642000%30100.00%01014187354.14%782152351.35%689121956.52%412241173719
27Senators220000001275110000006511100000062441.00012213300264093273828094264345360.00%2150.00%01014187354.14%782152351.35%689121956.52%362250183215
28Sharks22000000945110000005321100000041341.000916250033307827163506733144722100.00%7185.71%01014187354.14%782152351.35%689121956.52%392041203817
29Wild20200000914-51010000037-41010000067-100.00091726001620782925240923322411100.00%6350.00%01014187354.14%782152351.35%689121956.52%361949183316
Total72303103512304313-936151500510153171-18361516030021511429750.52130450781120811328743008989108591629293599631914682023416.83%1032278.64%01014187354.14%782152351.35%689121956.52%148282515416591323666
_Since Last GM Reset72303103512304313-936151500510153171-18361516030021511429750.52130450781120811328743008989108591629293599631914682023416.83%1032278.64%01014187354.14%782152351.35%689121956.52%148282515416591323666
_Vs Conference46191901511195202-7249900510104116-122210100100191865480.52219532251710537961219296516805822319176151759321231915.45%551180.00%01014187354.14%782152351.35%689121956.52%947527992417842428
_Vs Division30111300411125131-61647004106681-1514760000159509290.4831252013261040493511196413422347211268405129627891415.73%37878.38%01014187354.14%782152351.35%689121956.52%608330656277556284

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7275W430450781130082935996319146820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7230313512304313
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3615150510153171
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3615163002151142
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2023416.83%1032278.64%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
98910859162981132874
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
1014187354.14%782152351.35%689121956.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
148282515416591323666


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
951127Canadiens-Whalers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971152Whalers-Rangers-
981161Blackhawks-Whalers-
1001183Stars-Whalers-
1011195Whalers-Canucks-
1031215Lightning-Whalers-
1041222Whalers-Stars-
1061245Islanders-Whalers-
1071250Whalers-Penguins-
1091262Whalers-Capitals-
1111278Whalers-Flyers-
1121295Flyers-Whalers-
1131301Whalers-Capitals-
1191333Flames-Whalers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654024212
Assistance145,264131,78059,151112,01124,731
Attendance PCT67.25%73.21%82.15%77.79%68.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 13137 - 72.98% 1,442,072$51,914,604$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
58,235,479$ 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$ 57,460,501$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
10,094,506$ 27 635,286$ 17,152,722$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
17,917,358$ 76,672,576$ 69,299,866$
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:75
Jared McCannAGE:29PO: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:59OV:59
Samuel Savoie (R)AGE:22PO:54OV:56
Daniel WalcottAGE:32PO:52OV:55
Carsen TwarynskiAGE:28PO:52OV:53
Artem Shlaine (R)AGE:24PO:52OV:53
Quinn Olson (R)AGE:24PO:51OV:52
Keaton MastrodonatoAGE:25PO:48OV:50
Daniel TorgerssonAGE:24PO:49OV:49
Kyle PalmieriAGE:35PO:75OV:75
Jordan StaalAGE:37PO:72OV:75
Jared McCannAGE:29PO:76OV:74
Mikael BacklundAGE:37PO:71OV:74
Ryan DonatoAGE:30PO:77OV:73
Sam BennettAGE:29PO:75OV:72
Barrett HaytonAGE:25PO:72OV:72
Paul CotterAGE:26PO:69OV:71
Eetu LuostarinenAGE:27PO:66OV:67
Matt Savoie (R)AGE:22PO:65OV:65
Mikey EyssimontAGE:29PO:62OV:64
Sam Morton (R)AGE:26PO:62OV:64
Artem Shlaine (R)AGE:24PO:52OV:53
Quinn Olson (R)AGE:24PO:51OV:52
Keaton MastrodonatoAGE:25PO:48OV:50
Kyle PalmieriAGE:35PO:75OV:75
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:60OV:62
Aatu Jamsen (R)AGE:22PO:56OV:53
Artem Shlaine (R)AGE:24PO:52OV:53
Koehn Ziemmer (R)AGE:21PO:52OV:52
Quinn Olson (R)AGE:24PO:51OV:52
Keaton MastrodonatoAGE:25PO:48OV:50

Défense #1Défense #2Gardien
Devon ToewsAGE:32PO:66OV:75
Simon BenoitAGE:27PO:62OV:75
David SavardAGE:35PO:61OV:73
Nick BlankenburgAGE:27PO:62OV:71
Urho VaakanainenAGE:27PO:60OV:67
Ian Moore (R)AGE:24PO:55OV:60
William WallinderAGE:23PO:52OV:58
Jani HakanpaaAGE:34PO:48OV:57
Joakim Ryan (R)AGE:32PO:50OV:56
Tory DelloAGE:29PO:48OV:55
Aidan FulpAGE:26PO:47OV:55
Chris JandricAGE:27PO:50OV:54
Montana OnyebuchiAGE:26PO:47OV:54
Anton MalmstromAGE:26PO:49OV:53
Jeremie BuchelerAGE:26PO:49OV:52
Will MacKinnonAGE:26PO:48OV:52
Elvis MerzlikinsAGE:32PO:67OV:68
Cooper Black (R)AGE:24PO:63OV:66
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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



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