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Blackhawks
GP: 82 | W: 45 | L: 30 | OTL: 7 | P: 97
GF: 265 | GA: 229 | PP%: 23.00% | PK%: 82.02%
DG: Libre | Morale : 74 | Moyenne d’équipe : 68

Centre de jeu
Oilers
33-38-11, 77pts
2
3 Blackhawks
45-30-7, 97pts
Team Stats
L1SéquenceW5
16-19-6Fiche domicile23-14-4
17-19-5Fiche domicile22-16-3
1-7-2Derniers 10 matchs7-2-1
3.07Buts par match 3.23
3.33Buts contre par match 2.79
20.76%Pourcentage en avantage numérique23.00%
83.20%Pourcentage en désavantage numérique82.02%
Oilers
33-38-11, 77pts
3
5 Blackhawks
45-30-7, 97pts
Team Stats
L1SéquenceW5
16-19-6Fiche domicile23-14-4
17-19-5Fiche domicile22-16-3
1-7-2Derniers 10 matchs7-2-1
3.07Buts par match 3.23
3.33Buts contre par match 2.79
20.76%Pourcentage en avantage numérique23.00%
83.20%Pourcentage en désavantage numérique82.02%
Meneurs d'équipe
Buts
Tommy Novak
42
Passes
Nick Paul
52
Points
Nick Paul
89
Plus/Moins
Jayden Struble
26
Victoires
Dan Vladar
30
Pourcentage d’arrêts
Dan Vladar
0.912

Statistiques d’équipe
Buts pour
265
3.23 GFG
Tirs pour
2610
31.83 Avg
Pourcentage en avantage numérique
23.0%
49 GF
Début de zone offensive
37.5%
Buts contre
229
2.79 GAA
Tirs contre
2569
31.33 Avg
Pourcentage en désavantage numérique
82.0%%
41 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralLibre
EntraîneurDave Cameron
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,955
Billets de saison1,800


Informations de la formation

Équipe Pro37
Équipe Mineure21
Limite Contrat58 / 68
Espoirs44


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
1Nick Paul (R)X100.0072408075898790857583847525878966867703133,000,000$
2Tommy Novak (R)X100.0057359882728476876888867125886542867602922,000,000$
3Jake Neighbours (R)X100.007973698684868385507881722585665472752241835,833$
4Filip Zadina (R)X100.0065389576748482804580756425787758927202631,500,000$
5Jack Studnicka (R)X100.006232977673767872727671742579744686700271900,000$
6Philip Tomasino (R)X100.0075409280818371765072716825776654847002431,000,000$
7Vitaly Abramov (R)X100.00259997369577481427877616480825185680283700,000$
8Alex Barré-Boulet (R)X100.006341767470747068617674702574654878680282700,000$
9Josh Doan (R)X100.006840887685847373537167662573594985682242925,000$
10Reese Johnson (R)X100.009175617475797864826665672579684586670273700,000$
11Brendan Gaunce (R)X100.006233866679727462645858722585806472640322575,000$
12Mike Hardman (R)X100.006541736566686663447568642563545024620273575,000$
13Nikita ZaitsevX100.0067418474748482633565628625808956807203432,000,000$
14Caleb Jones (R)X100.0072457874748785804074697425797554867202821,500,000$
15Jayden Struble (R)X100.008065677686847673407265762572594981712242867,500$
16Parker Wotherspoon (R)X100.007340917578877871406663752571614986702281750,000$
17Ty Smith (R)X100.006636937371757576258274672559595177680262800,000$
18Louis Crevier (R)X100.006740817294866869406165722570594986682252850,833$
Rayé
1Vinni Lettieri (R)X100.007440827573847869556464732572807020670313700,000$
2Cole Guttman (R)X100.005940767367746566646262632569574820621271950,000$
3Luke Johnson (R)X100.007226996473647155755657686482803920610313575,000$
4Isak Rosen (R)X100.006041747259646266456464602567505019602232894,167$
5Iiro Pakarinen (R)X100.005121996176567948425049715590872519580342575,000$
6Josiah Slavin (R)X100.007673846874535258503939645548485619530273575,000$
7Dan Renouf (R)X100.007169536675646878258579632568694120670312600,000$
8Cody Goloubef (R)X100.006032906476756456305350764696884620650361700,000$
9Joe Hicketts (R)X100.002515996870747464306255775384803918640301575,000$
10Nikita Okhotyuk (R)X100.007447647275716865406258692568594719640253575,000$
11Frédéric Allard (R)X100.005232747071817656305548662577615320620282575,000$
12Isaak Phillips (R)X100.006642577074606063406156682567544620612241859,167$
13Filip Roos (R)X100.005841716569646361405854602567594319592271925,000$
14Sean Day (R)X100.007680656079616453253434624048484920560283575,000$
MOYENNE D’ÉQUIPE100.00654381727574736847666469317468505366
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
1Alex Nedeljkovic (R)100.008490917990999999998382858866858903012,000,000$
2Dan Vladar (R)100.008485858790979396968650866548858602821,500,000$
Rayé
1Felix Sandstrom (R)100.00807574777779757479773080604920740292575,000$
2Joel Blomqvist (R)100.00757170837478757680734075535020730243886,667$
3Olivier Rodrigue (R)100.00756570556874787376714060525020680253775,000$
MOYENNE D’ÉQUIPE100.0080777876808584848678487764534678
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron72626747857257CAN663800,000$


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
1Nick PaulBlackhawks (CHI)C783752891832101302252998714312.37%37162420.821114253817400061872454.25%20115136121.10010111054
2Tommy NovakBlackhawks (CHI)C784245871100941912818917314.95%38146918.847815241350002874250.75%15355920001.1812000873
3Jake NeighboursBlackhawks (CHI)LW8241377824124201991233039617913.53%29150718.3898172514300048011239.62%1068035011.0413103672
4Nikolay GoldobinBlackhawksLW683140718142402171122587015812.02%33133119.591011213714501141179234.12%1704019001.07013232510
5Filip ZadinaBlackhawks (CHI)RW76203252254010590165498512.12%31139918.424913221720000133341.84%983818000.7402000143
6Caleb JonesBlackhawks (CHI)D76242441330101231309647452.08%92178923.55099101980003190100%03149000.4900110103
7Vitaly AbramovBlackhawks (CHI)LW82201838-40016781796012511.17%15107513.120001181015922033.33%484910000.7111000112
8Alex Barré-BouletBlackhawks (CHI)RW80102232014010610511929638.40%26110113.770002340000202052.73%552620000.5800000122
9Jack StudnickaBlackhawks (CHI)C821219311400619314637808.22%2790110.990224150005651151.43%5252519000.6900000122
10Jayden StrubleBlackhawks (CHI)D77426302677251631327332305.48%90166021.5724691320003138200%02038000.3600113221
11Philip TomasinoBlackhawks (CHI)C82121426-14408881153521187.84%2095611.663038180000201141.81%5623814100.5400000102
12Josh DoanBlackhawks (CHI)RW8261420131951381038839706.82%28139016.9615661190001220143.01%931417000.2900010011
13Parker WotherspoonBlackhawks (CHI)D82315182275841156724264.48%89174921.3412351220000150010%01858000.2100100201
14Nikita ZaitsevBlackhawks (CHI)D62413172220801047222215.56%93145123.4214571570002154200%0853000.2300000011
15Jordan GreenwayBlackhawksRW19681433315432550203712.00%727314.42011112000162057.14%2176001.0200210020
16Louis CrevierBlackhawks (CHI)D82014143415801025519170%84141417.25000139000046000%01435000.2000100000
17Ty SmithBlackhawks (CHI)D7801313160571025612240%68123515.8400008000040000%02245000.2100000010
18Reese JohnsonBlackhawks (CHI)RW827512-82401145763172811.11%66197.5600000000001178.57%14157010.3900000101
19Brendan GaunceBlackhawks (CHI)LW636511-111531413361118.18%165268.36000000000220056.25%1609000.4200010002
20Dan RenoufBlackhawks (CHI)D21044-44020441720570%1033015.720000200008000%0513000.2400013001
21Vinni LettieriBlackhawks (CHI)C6011-3203104230%0569.4200000000010040.74%2700000.3500000000
22Isak RosenBlackhawks (CHI)RW11011-140288210%2635.770110100000000%000000.3201000000
23Joe HickettsBlackhawks (CHI)D13000-5001209310%1822517.330000000008000%03500000000000
24Nikita OkhotyukBlackhawks (CHI)D2000020211010%1157.780000000000000%01000000000000
25Mike HardmanBlackhawks (CHI)LW12000-3207311340%0907.5100000000000050.00%22300000000000
26Cole GuttmanBlackhawks (CHI)C4000-200221000%0235.9300000000000037.50%82000000000000
Statistiques d’équipe totales ou en moyenne1480263440703138640160199020702610822145010.08%8602428616.4149781272001653112361478431850.05%5291568529240.5831110913374041
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
1Dan VladarBlackhawks (CHI)58302040.9122.69329700148168967951005527545
2Alex NedeljkovicBlackhawks (CHI)30151030.9092.93163915180879369100.87582755330
Statistiques d’équipe totales ou en moyenne88453070.9112.774936151228256810486188282875


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel 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
Alex Barré-BouletBlackhawks (CHI)RW281997-05-21CANYes178 Lbs5 ft10NoNoN/ANoNo22024-09-12FalseFalsePro & Farm700,000$3,571$0$0$No700,000$-----------------No--------
Alex NedeljkovicBlackhawks (CHI)G301996-01-07USAYes203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Brendan GaunceBlackhawks (CHI)LW321994-03-25CANYes216 Lbs6 ft2NoNoN/ANoNo22024-09-12FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Caleb JonesBlackhawks (CHI)D281997-06-06USAYes194 Lbs6 ft1NoNoN/ANoNo22025-08-10FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$--------1,500,000$--------No--------
Cody GoloubefBlackhawks (CHI)D361989-11-30CANYes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Cole GuttmanBlackhawks (CHI)C271999-04-06USAYes167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,847$0$0$No---------------------------
Dan RenoufBlackhawks (CHI)D311994-06-01CANYes201 Lbs6 ft3NoNoN/ANoNo22024-09-12FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Dan VladarBlackhawks (CHI)G281997-08-20CZEYes209 Lbs6 ft5NoNoN/ANoNo22024-09-12FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Felix SandstromBlackhawks (CHI)G291997-01-12SWEYes196 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Filip RoosBlackhawks (CHI)D271999-01-05SWEYes190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Filip ZadinaBlackhawks (CHI)RW261999-11-27CZEYes190 Lbs6 ft0NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Frédéric AllardBlackhawks (CHI)D281997-12-27CANYes179 Lbs6 ft1NoNoN/ANoNo22024-09-12FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Iiro PakarinenBlackhawks (CHI)RW341991-08-25FINYes212 Lbs6 ft1NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Isaak PhillipsBlackhawks (CHI)D242001-09-28CANYes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm859,167$4,384$0$0$No---------------------------
Isak RosenBlackhawks (CHI)RW232003-03-15SWEYes172 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm894,167$4,562$0$0$No894,167$--------894,167$--------No--------
Jack StudnickaBlackhawks (CHI)C271999-02-18CANYes187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,592$0$0$No---------------------------
Jake NeighboursBlackhawks (CHI)LW242002-03-29CANYes201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm835,833$4,264$0$0$No---------------------------
Jayden StrubleBlackhawks (CHI)D242001-09-08USAYes207 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm867,500$4,426$0$0$No867,500$--------867,500$--------No--------
Joe HickettsBlackhawks (CHI)D301996-05-04CANYes180 Lbs5 ft8NoNoN/ANoNo12024-09-12FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Joel BlomqvistBlackhawks (CHI)G242002-01-10FINYes200 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-07FalseFalsePro & Farm886,667$4,524$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Josh DoanBlackhawks (CHI)RW242002-02-01USAYes198 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm925,000$4,719$0$0$No925,000$--------925,000$--------No--------
Josiah SlavinBlackhawks (CHI)LW271998-12-31USAYes190 Lbs6 ft3NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Louis CrevierBlackhawks (CHI)D252001-05-04CANYes228 Lbs6 ft8NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm850,833$4,341$0$0$No850,833$--------850,833$--------No--------
Luke JohnsonBlackhawks (CHI)C311994-09-19USAYes198 Lbs5 ft11NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Mike HardmanBlackhawks (CHI)LW271999-02-05USAYes205 Lbs6 ft2NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nick PaulBlackhawks (CHI)C311995-03-20CANYes230 Lbs6 ft4NoNoTrade2025-09-01NoNo32025-08-10FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Nikita OkhotyukBlackhawks (CHI)D252000-12-04RUSYes195 Lbs6 ft1NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nikita ZaitsevBlackhawks (CHI)D341991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Olivier RodrigueBlackhawks (CHI)G252000-07-06CANYes159 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-07FalseFalsePro & Farm775,000$3,954$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Parker WotherspoonBlackhawks (CHI)D281997-08-24CANYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,827$0$0$No---------------------------
Philip TomasinoBlackhawks (CHI)C242001-07-28CANYes190 Lbs6 ft0NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,000,000$5,102$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Reese JohnsonBlackhawks (CHI)RW271998-07-10CANYes193 Lbs6 ft1NoNoN/ANoNo32025-08-10FalseFalsePro & Farm700,000$3,571$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Sean DayBlackhawks (CHI)D281998-01-09CANYes218 Lbs6 ft3NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Tommy NovakBlackhawks (CHI)C291997-04-28USAYes179 Lbs6 ft1NoNoN/ANoNo22025-08-10FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$--------2,000,000$--------No--------
Ty SmithBlackhawks (CHI)D262000-03-24CANYes181 Lbs5 ft11NoNoN/ANoNo22024-09-12FalseFalsePro & Farm800,000$4,082$0$0$No800,000$-----------------No--------
Vinni LettieriBlackhawks (CHI)C311995-02-06USAYes184 Lbs5 ft10NoNoN/ANoNo32025-08-10FalseFalsePro & Farm700,000$3,571$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Vitaly AbramovBlackhawks (CHI)LW281998-05-08RUSYes171 Lbs5 ft9NoNoN/ANoNo32025-08-10FalseFalsePro & Farm700,000$3,571$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3727.84194 Lbs6 ft12.14961,329$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursNick PaulFilip Zadina35122
2Vitaly AbramovTommy NovakJosh Doan35122
3Brendan GaunceJack StudnickaAlex Barré-Boulet25122
4Mike HardmanPhilip TomasinoReese Johnson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZaitsevCaleb Jones35122
2Jayden StrubleParker Wotherspoon35122
3Louis CrevierTy Smith30122
4Nikita ZaitsevCaleb Jones0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake NeighboursNick PaulFilip Zadina60122
2Vitaly AbramovTommy NovakJosh Doan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZaitsevCaleb Jones60122
2Jayden StrubleParker Wotherspoon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick PaulTommy Novak60122
2Jake NeighboursFilip Zadina40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZaitsevCaleb Jones60122
2Jayden StrubleParker Wotherspoon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Paul60122Nikita ZaitsevCaleb Jones60122
2Tommy Novak40122Jayden StrubleParker Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick PaulTommy Novak60122
2Jake NeighboursFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita ZaitsevCaleb Jones60122
2Jayden StrubleParker Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursNick PaulFilip ZadinaNikita ZaitsevCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake NeighboursNick PaulFilip ZadinaNikita ZaitsevCaleb Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Studnicka, Philip Tomasino, Alex Barré-BouletJack Studnicka, Philip TomasinoAlex Barré-Boulet
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Louis Crevier, Ty Smith, Jayden StrubleLouis CrevierTy Smith, Jayden Struble
Tirs de pénalité
Nick Paul, Tommy Novak, Jake Neighbours, Filip Zadina, Jack Studnicka
Gardien
#1 : Alex Nedeljkovic, #2 : Dan Vladar
Lignes d’attaque personnalisées en prolongation
Nick Paul, Tommy Novak, Jake Neighbours, Filip Zadina, Jack Studnicka, Philip Tomasino, Vitaly Abramov, Josh Doan, Alex Barré-Boulet, Reese Johnson
Lignes de défense personnalisées en prolongation
Nikita Zaitsev, Caleb Jones, Jayden Struble, Parker Wotherspoon, Louis Crevier


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Avalanche6330000024213321000001413131200000108260.50024386200719594619383588288021198607414421419.05%27870.37%1988197250.10%1066210850.57%594117850.42%1728101918307331387679R5
2Blues6510000021101132100000137633000000835100.83321365702719594618483588288021169589013926311.54%26292.31%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
3Bruins31200000812-41010000035-22110000057-220.33381018007195946948358828802191393577300.00%50100.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
4Canadiens21000100541110000004221000010012-130.750581300719594666835882880215920042500.00%000%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
5Canucks431000001587220000009272110000066060.750152540007195946116835882880211373831977342.86%13192.31%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
6Capitals3120000056-11010000013-22110000043120.3335914007195946958358828802197388794250.00%4175.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
7Devils2020000057-21010000034-11010000023-100.0005914007195946718358828802163214472150.00%2150.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
8Ducks431000001183220000005322110000065160.7501118290071959461368358828802111238349811218.18%17382.35%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
9Flames402020001115-4201010006602010100059-440.5001119300071959461288358828802112134378911654.55%11190.91%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
10Flyers2100010010731000010023-11100000084430.750101525007195946708358828802175270402150.00%000%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
11Islanders211000006601010000025-31100000041320.5006121800719594675835882880217820743200.00%10100.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
12Kings430001002111102100010096322000000125770.87521385900719594614283588288021136302512010330.00%11372.73%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
13Maple Leafs21100000761110000004131010000035-220.50071118107195946598358828802168211154100.00%3233.33%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
14Oilers430000101798210000108532200000094581.00017284500719594610983588288021126413411410110.00%12375.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
15Penguins201000105501010000023-11000001032120.500561100719594661835882880217524249300.00%10100.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
16Predators65100000181173300000095432100000963100.83318304800719594619683588288021179797014129827.59%20195.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R5
17Rangers220000001147110000006241100000052341.000112031007195946798358828802172202543133.33%110.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
18Red Wings2010010058-31010000024-21000010034-110.2505101500719594671835882880216024435200.00%30100.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
19Sabres22000000743110000005321100000021141.00071320007195946668358828802161199387114.29%20100.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
20Senateurs412001001015-531100100812-41010000023-130.3751016260071959461368358828802112240179510330.00%6183.33%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
21Sharks412001001013-3211000004402010010069-330.3751016260071959461278358828802111844401098337.50%10280.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R2
22Stars604011001019-93010110079-230300000310-730.25010142400719594616683588288021181634013115320.00%20385.00%0988197250.10%1066210850.57%594117850.42%1728101918307331387679
23Wild633000002320331200000810-2321000001510560.50023396200719594617083588288021171628115521419.05%33875.76%0988197250.10%1066210850.57%594117850.42%1728101918307331387679R5
Total824030037202652293641201402410134117174120160131013111219970.591265440705127195946261083588288021256986065519902134923.00%2284182.02%1988197250.10%1066210850.57%594117850.42%1728101918307331387679
_Since Last GM Reset824030037202652293641201402410134117174120160131013111219970.591265440705127195946261083588288021256986065519902134923.00%2284182.02%1988197250.10%1066210850.57%594117850.42%1728101918307331387679
_Vs Conference5429180331018114536271570221092702227141101100897514690.639181301482027195946166783588288021164854755613371694023.67%2003582.50%1988197250.10%1066210850.57%594117850.42%1728101918307331387679
_Vs Division301612011009681151585011005144715870000045378350.58396157253027195946909835882880218983223557101122219.64%1262282.54%1988197250.10%1066210850.57%594117850.42%1728101918307331387679

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8297W526544070526102569860655199012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240303720265229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120142410134117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120161310131112
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2134923.00%2284182.02%1
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
835882880217195946
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
988197250.10%1066210850.57%594117850.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1728101918307331387679


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
29Blackhawks7Wild3WR5Sommaire du match
418Senateurs7Blackhawks2LSommaire du match
627Blackhawks3Avalanche4LR5Sommaire du match
838Blackhawks0Stars2LSommaire du match
1047Blues0Blackhawks2WR5Sommaire du match
1260Blackhawks1Predators2LSommaire du match
1470Stars4Blackhawks2LR5Sommaire du match
1886Wild6Blackhawks3LR5Sommaire du match
22107Predators2Blackhawks3WSommaire du match
26123Avalanche4Blackhawks6WR5Sommaire du match
27131Blackhawks3Blues1WSommaire du match
31147Kings5Blackhawks4LXR2Sommaire du match
32158Blackhawks2Canucks4LSommaire du match
35174Senateurs1Blackhawks3WSommaire du match
37182Blackhawks4Flames3WXR2Sommaire du match
40191Blackhawks2Stars3LSommaire du match
41202Wild3Blackhawks2LR5Sommaire du match
45222Sharks1Blackhawks3WR2Sommaire du match
47232Blackhawks4Predators1WSommaire du match
49245Rangers2Blackhawks6WSommaire du match
51251Blackhawks2Blues0WR5Sommaire du match
54266Blackhawks3Penguins2WXXSommaire du match
56276Kings1Blackhawks5WR2Sommaire du match
59289Blackhawks1Avalanche2LSommaire du match
60299Flames2Blackhawks1LR2Sommaire du match
63316Islanders5Blackhawks2LSommaire du match
64324Blackhawks5Rangers2WSommaire du match
67341Sharks3Blackhawks1LR2Sommaire du match
69351Blackhawks4Canucks2WSommaire du match
71362Blackhawks3Red Wings4LXSommaire du match
73368Blackhawks8Flyers4WSommaire du match
74375Maple Leafs1Blackhawks4WSommaire du match
77390Blackhawks4Islanders1WSommaire du match
79397Wild1Blackhawks3WR5Sommaire du match
82415Blackhawks2Bruins6LSommaire du match
83424Canadiens2Blackhawks4WSommaire du match
87439Blackhawks3Blues2WR5Sommaire du match
89449Blues2Blackhawks7WSommaire du match
91459Blackhawks6Avalanche2WR5Sommaire du match
94468Canucks1Blackhawks4WSommaire du match
96483Blackhawks3Sharks5LR2Sommaire du match
98489Blackhawks4Ducks1WSommaire du match
100498Devils4Blackhawks3LSommaire du match
103513Blackhawks4Oilers3WR2Sommaire du match
104522Blues5Blackhawks4LR5Sommaire du match
106537Blackhawks5Oilers1WSommaire du match
108547Penguins3Blackhawks2LSommaire du match
110561Blackhawks3Maple Leafs5LSommaire du match
111569Senateurs4Blackhawks3LXSommaire du match
114587Ducks1Blackhawks2WR2Sommaire du match
116593Blackhawks3Wild4LR5Sommaire du match
120613Canucks1Blackhawks5WR2Sommaire du match
122624Blackhawks1Canadiens2LXSommaire du match
125638Flames4Blackhawks5WXR2Sommaire du match
127648Blackhawks2Devils3LSommaire du match
129660Sabres3Blackhawks5WSommaire du match
131671Blackhawks2Senateurs3LSommaire du match
133681Blackhawks1Flames6LR2Sommaire du match
135690Flyers3Blackhawks2LXSommaire du match
139710Blackhawks3Bruins1WSommaire du match
140715Bruins5Blackhawks3LSommaire du match
143733Avalanche6Blackhawks4LR5Sommaire du match
145741Blackhawks5Wild3WSommaire du match
148758Capitals3Blackhawks1LSommaire du match
151773Blackhawks4Predators3WR5Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153782Predators1Blackhawks3WSommaire du match
156801Stars3Blackhawks2LXR5Sommaire du match
158809Blackhawks1Stars5LSommaire du match
160825Stars2Blackhawks3WXR5Sommaire du match
162834Blackhawks2Ducks4LR2Sommaire du match
164848Ducks2Blackhawks3WSommaire du match
167861Blackhawks2Sabres1WSommaire du match
169867Blackhawks3Sharks4LXR2Sommaire du match
171877Avalanche3Blackhawks4WSommaire du match
172886Blackhawks4Kings2WR2Sommaire du match
174899Red Wings4Blackhawks2LSommaire du match
176903Blackhawks1Capitals2LSommaire du match
180926Predators2Blackhawks3WR5Sommaire du match
182935Blackhawks8Kings3WR2Sommaire du match
185948Blackhawks3Capitals1WSommaire du match
187958Oilers2Blackhawks3WXXR2Sommaire du match
192974Oilers3Blackhawks5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance80,74340,420
Assistance PCT98.47%98.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2955 - 98.51% 126,324$5,179,280$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,525,060$ 3,556,917$ 3,556,917$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,729,157$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 22,229$ 22,229$




Blackhawks 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

Blackhawks 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

Blackhawks 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

Blackhawks 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

Blackhawks 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