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Connexion

Blackhawks
GP: 82 | W: 41 | L: 34 | OTL: 7 | P: 89
GF: 255 | GA: 252 | PP%: 19.20% | PK%: 81.82%
DG: Libre | Morale : 52 | Moyenne d’équipe : 67
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Centre de jeu
Blackhawks
41-34-7, 89pts
3
FINAL
1 Canadiens
55-24-3, 113pts
Team Stats
W6SéquenceW1
22-15-4Fiche domicile31-10-0
19-19-3Fiche domicile24-14-3
8-2-0Derniers 10 matchs6-3-1
3.11Buts par match 3.34
3.07Buts contre par match 2.77
19.20%Pourcentage en avantage numérique20.95%
81.82%Pourcentage en désavantage numérique83.48%
Blackhawks
41-34-7, 89pts
4
FINAL
3 Stars
43-30-9, 95pts
Team Stats
W6SéquenceL1
22-15-4Fiche domicile24-14-3
19-19-3Fiche domicile19-16-6
8-2-0Derniers 10 matchs4-5-1
3.11Buts par match 3.39
3.07Buts contre par match 3.18
19.20%Pourcentage en avantage numérique16.48%
81.82%Pourcentage en désavantage numérique81.18%
Meneurs d'équipe
Buts
Nikolay Goldobin
38
Passes
Tyler Pitlick
47
Points
Nikolay Goldobin
83
Plus/Moins
Andrej Sustr
16
Victoires
Alex Nedeljkovic
23
Pourcentage d’arrêts
Dan Vladar
0.909

Statistiques d’équipe
Buts pour
255
3.11 GFG
Tirs pour
2616
31.90 Avg
Pourcentage en avantage numérique
19.2%
48 GF
Début de zone offensive
38.3%
Buts contre
252
3.07 GAA
Tirs contre
2659
32.43 Avg
Pourcentage en désavantage numérique
81.8%%
44 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralLibre
EntraîneurJoel Quenneville
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,907
Billets de saison1,800


Informations de la formation

Équipe Pro37
Équipe Mineure21
Limite contact 58 / 60
Espoirs40


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
1Tyler Pitlick (R)X100.0082458973808088805387868625728674817703222,000,000$
2Nikolay Goldobin (R)X100.0080555964737776884589817664666368837302822,000,000$
3Michael Rasmussen (R)X100.007855697689868380777770742576715943720252600,000$
4Tommy Novak (R)X100.006140878376847382697876682581594964710272750,000$
5Klim Kostin (R)X100.008676637588818175407071692574665470690253900,000$
6Vitaly Abramov (R)X100.004023947367697478447673656472745972680262575,000$
7Jack Studnicka (R)X100.007645837679817870727470672571665470680253900,000$
8Reese Johnson (R)X100.008760707580817870807267712571615221680252800,000$
9Jordan Greenway (R)X100.008162716682689265417568692576746028670272900,000$
10Brendan Gaunce (R)X100.005940696179637370736868786379747042660301575,000$
11Alex Barré-Boulet (R)X100.006341647276656669787574622573704954660261758,333$
12Jake Neighbours (R)X100.007545767684827370506365652572594965662223835,833$
13Matt IrwinX100.0076757072788289734076747525718775797203611,500,000$
14Andrej SustrX100.0090574664826980672568568250999331657203311,500,000$
15Caleb Jones (R)X100.007650737580878577407266762574715949720262600,000$
16Ty Smith (R)X100.007342867276777573258272682552525978680241863,333$
17Tucker Poolman (R)X100.005540757180847166406664722567766447670303700,000$
18Dan Renouf (R)X100.006261626665686874258276672560614953650291850,000$
Rayé
1Filip Zadina (R)X100.006440807681837570407470662570715953680242800,000$
2Danny O'Regan (R)X100.006455996970687577806966676471626520660301600,000$
3Philip Tomasino (R)X100.006240827577866872557365662571585019660222863,333$
4Vinni Lettieri (R)X100.005940677076676867817168736950506519640291575,000$
5Luke Johnson (R)X100.007226996474647155755657686475734619610291575,000$
6Mike Hardman (R)X100.005940675866676464417669562557525019600252800,000$
7Cole Guttman (R)X100.005540697155606062585959602564525020571253950,000$
8Josiah Slavin (R)X100.007673846875535258503939645545455920530252842,500$
9Cody Goloubef (R)X100.006739836474776461305855784690825219660343700,000$
10Joe Hicketts (R)X100.003323996869777463306154805376724719640281600,000$
11Frédéric Allard (R)X100.006040667062837664306356662569536120630261750,000$
12Isaak Phillips (R)X100.006642577066606063406156682563505019612223859,167$
13Parker Wotherspoon (R)X100.006145687062626159405652682560535020592263750,000$
14Nikita Okhotyuk (R)X100.006255646765575656405152622558505020570232789,167$
15Filip Roos (R)X100.006040706564606060405454602560525020572253925,000$
16Sean Day (R)X100.007680656079616453253434624046465120560262750,000$
MOYENNE D’ÉQUIPE100.00684874707473726949686469366964564165
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)100.008388847581999897968382788173828602832,000,000$
2Dan Vladar (R)100.00817979908286828585813082605283800261750,000$
Rayé
1Felix Sandstrom (R)100.00807574807879757479773078585120750272775,000$
MOYENNE D’ÉQUIPE100.0081817982808885858780477966596280
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville76999783999986CAN6525,000,000$


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
1Nikolay GoldobinBlackhawks (CHI)LW79384583283251941062849616813.38%42161920.501010203920501151638132.14%1124930121.0304104663
2Tyler PitlickBlackhawks (CHI)RW68294776030301111392257214212.89%35141920.88615213618200031733239.22%3344930111.0705114474
3Michael RasmussenBlackhawks (CHI)C75254267-756301621502296814610.92%27140318.7131417211691017922153.26%15174926100.9514132243
4Tommy NovakBlackhawks (CHI)C80342963-41610761472727715812.50%28135616.9526891020001734251.50%12685325010.9302020428
5Filip ZadinaBlackhawks (CHI)RW782231531211511194170599212.94%28136317.48671317164000004323.08%914323010.7800012323
6Vitaly AbramovBlackhawks (CHI)RW82152540-6552866245731506.12%27111613.620113480001172040.48%844522100.7201001221
7Mark JankowskiBlackhawksC341721384121063110106256316.04%1272421.3266121710600031043156.69%9051717001.0511110324
8Klim KostinBlackhawks (CHI)LW721721388197125169781634810510.43%25122817.066612201420000214139.19%742719010.62137810141
9Matt IrwinBlackhawks (CHI)D8242529-82091151591318432484.76%105185122.583710142290000197000%03267000.3101986201
10Jack StudnickaBlackhawks (CHI)C8214142814607280113427512.39%167889.61000060001454048.70%3861710000.7100000131
11Ty SmithBlackhawks (CHI)D8222527-33220981278028352.50%81173021.1013451490003145100%03247000.3100220000
12Caleb JonesBlackhawks (CHI)D7912425-651151221338141271.23%89182523.10178102200110195010%03262000.2700021002
13Alex Barré-BouletBlackhawks (CHI)RW75913225140584586305310.47%96118.15213215000050152.94%17166000.7200000112
14Andrej SustrBlackhawks (CHI)D683172016181751841117229374.17%92145521.41156121470000123000%0953000.2701465001
15Dan RenoufBlackhawks (CHI)D7801717-45915841036125250%55126516.2200002000079000%02740000.2700300001
16Brendan GaunceBlackhawks (CHI)LW827815-16435113858926567.87%27111613.620114330002732053.70%54821000.2711001120
17Reese JohnsonBlackhawks (CHI)C4431114-1383096707124614.23%1855712.68011119000000051.32%456127000.5000105201
18Tucker PoolmanBlackhawks (CHI)D7727915372553804823284.17%62125916.36101321000018200%0429000.1400113001
19Jake NeighboursBlackhawks (CHI)LW825498161076536720387.46%96417.8300000000061140.00%15147000.2800020001
20Jordan GreenwayBlackhawks (CHI)RW28415-4255361236101811.11%829010.3600001000060041.67%1215000.3400001000
21Philip TomasinoBlackhawks (CHI)C111230004852920.00%1777.0700000000000033.33%3000000.7700000010
22Cody GoloubefBlackhawks (CHI)D24022-7952438214100%3046419.34000325000029000%0118000.0900001000
23Mike HardmanBlackhawks (CHI)LW102024203230266.67%0747.410000000002000%012000.5400000000
24Vinni LettieriBlackhawks (CHI)C2000000113150%1199.6400000000000050.00%40000000000000
Statistiques d’équipe totales ou en moyenne147425443168511114257020971969261485515519.72%8272426116.4648901382161995123261576401450.53%5359538566460.56423313746323638
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
1Alex NedeljkovicBlackhawks (CHI)55232250.9073.113108001611728709120.727115032722
2Dan VladarBlackhawks (CHI)33181220.9092.7818350085929403000.44493250364
Statistiques d’équipe totales ou en moyenne88413470.9072.9949440024626571112122082821086


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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)RW261997-05-21 04:20:32Yes181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm758,333$0$0$No------------------
Alex NedeljkovicBlackhawks (CHI)G281996-01-07 03:29:30Yes208 Lbs6 ft0NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Andrej SustrBlackhawks (CHI)D331990-11-29 17:11:13No220 Lbs6 ft8NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Brendan GaunceBlackhawks (CHI)LW301994-03-25 17:11:13Yes217 Lbs6 ft2NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Caleb JonesBlackhawks (CHI)D261997-06-06 08:53:26Yes194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Cody GoloubefBlackhawks (CHI)D341989-11-30 11:11:13Yes200 Lbs6 ft1NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Cole GuttmanBlackhawks (CHI)C251999-04-06 03:31:40Yes168 Lbs5 ft9NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Dan RenoufBlackhawks (CHI)D291994-06-01 14:21:38Yes201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------
Dan VladarBlackhawks (CHI)G261997-08-20 04:51:33Yes209 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Danny O'ReganBlackhawks (CHI)C301994-01-30 04:20:38Yes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Felix SandstromBlackhawks (CHI)G271997-01-12 09:02:25Yes191 Lbs6 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Filip RoosBlackhawks (CHI)D251999-01-05 12:49:10Yes190 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Filip ZadinaBlackhawks (CHI)RW241999-11-27 04:55:45Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Frédéric AllardBlackhawks (CHI)D261997-12-27 04:53:34Yes179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Isaak PhillipsBlackhawks (CHI)D222001-09-28 12:40:14Yes194 Lbs6 ft3NoNoN/ANoNo3Pro & Farm859,167$0$0$No859,167$859,167$-------NoNo-------
Jack StudnickaBlackhawks (CHI)C251999-02-18 01:10:12Yes187 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Jake NeighboursBlackhawks (CHI)LW222002-03-29 05:40:16Yes201 Lbs6 ft0NoNoN/ANoNo3Pro & Farm835,833$0$0$No835,833$835,833$-------NoNo-------
Joe HickettsBlackhawks (CHI)D281996-05-04 06:37:59Yes180 Lbs5 ft8NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Jordan GreenwayBlackhawks (CHI)RW271997-02-16 06:02:05Yes216 Lbs6 ft5NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Josiah SlavinBlackhawks (CHI)LW251998-12-31 03:42:42Yes190 Lbs6 ft3NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------
Klim KostinBlackhawks (CHI)LW251999-05-05 01:15:14Yes215 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Luke JohnsonBlackhawks (CHI)C291994-09-19 07:58:28Yes198 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Matt IrwinBlackhawks (CHI)D361987-11-29 23:11:13No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Michael RasmussenBlackhawks (CHI)C251999-04-17 05:58:39Yes211 Lbs6 ft6NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Mike HardmanBlackhawks (CHI)LW251999-02-05 05:54:08Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Nikita OkhotyukBlackhawks (CHI)D232000-12-04 09:04:29Yes194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm789,167$0$0$No789,167$--------No--------
Nikolay GoldobinBlackhawks (CHI)LW281995-10-07 23:11:13Yes196 Lbs5 ft11NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Parker WotherspoonBlackhawks (CHI)D261997-08-24 05:42:01Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Philip TomasinoBlackhawks (CHI)C222001-07-28 09:06:57Yes179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Reese JohnsonBlackhawks (CHI)C251998-07-10 10:45:12Yes193 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Sean DayBlackhawks (CHI)D261998-01-09 09:09:37Yes218 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Tommy NovakBlackhawks (CHI)C271997-04-28 09:11:52Yes179 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Tucker PoolmanBlackhawks (CHI)D301993-06-08 12:09:14Yes199 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Ty SmithBlackhawks (CHI)D242000-03-24 05:03:23Yes181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Tyler PitlickBlackhawks (CHI)RW321991-11-01 23:11:13Yes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Vinni LettieriBlackhawks (CHI)C291995-02-06 06:42:45Yes185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Vitaly AbramovBlackhawks (CHI)RW261998-05-08 05:50:13Yes171 Lbs5 ft9NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3726.92195 Lbs6 ft11.95898,964$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinMichael RasmussenTyler Pitlick35122
2Klim KostinTommy NovakAlex Barré-Boulet35122
3Brendan GaunceJack StudnickaJordan Greenway25122
4Jake NeighboursReese JohnsonVitaly Abramov5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr35122
2Matt IrwinTy Smith35122
3Tucker PoolmanDan Renouf30122
4Caleb JonesAndrej Sustr0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinMichael RasmussenTyler Pitlick60122
2Klim KostinTommy NovakAlex Barré-Boulet40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickNikolay Goldobin60122
2Michael RasmussenTommy Novak40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Pitlick60122Caleb JonesAndrej Sustr60122
2Nikolay Goldobin40122Matt IrwinTy Smith40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickNikolay Goldobin60122
2Michael RasmussenTommy Novak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinMichael RasmussenTyler PitlickCaleb JonesAndrej Sustr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinMichael RasmussenTyler PitlickCaleb JonesAndrej Sustr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Studnicka, Reese Johnson, Vitaly AbramovJack Studnicka, Reese JohnsonVitaly Abramov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Dan Renouf, Matt IrwinTucker PoolmanDan Renouf, Matt Irwin
Tirs de pénalité
Tyler Pitlick, Nikolay Goldobin, Michael Rasmussen, Tommy Novak, Klim Kostin
Gardien
#1 : Dan Vladar, #2 : Alex Nedeljkovic
Lignes d’attaque personnalisées en prolongation
Tyler Pitlick, Nikolay Goldobin, Michael Rasmussen, Tommy Novak, Klim Kostin, Jack Studnicka, Jack Studnicka, Reese Johnson, Jordan Greenway, Vitaly Abramov, Brendan Gaunce
Lignes de défense personnalisées en prolongation
Caleb Jones, Andrej Sustr, Matt Irwin, Ty Smith, Tucker Poolman


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
1Avalanche623001001721-442100100151412020000027-550.41717284500787995619989788781835204581431533525.71%25580.00%11047204551.20%1021206249.52%640123151.99%1751102318057291394691
2Blues522001001315-22200000063330200100712-550.50013233600787995615789788781835152489511425416.00%25580.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
3Bruins321000001082211000006601100000042240.6671018280078799569089788781835902972776233.33%6183.33%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
4Canadiens3110010067-11000010023-12110000044030.500612180078799561068978878183592291870300.00%9188.89%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
5Canucks312000001112-120200000610-41100000052320.33311182900787995691897887818351123927775120.00%11463.64%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
6Capitals3120000012932110000010641010000023-120.3331220320078799569989788781835932226876116.67%3166.67%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
7Devils32000001871210000016601100000021150.8338142200787995687897887818351003019696233.33%70100.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
8Ducks30200001712-52010000158-31010000024-210.16771219007879956109897887818359522559510220.00%10280.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
9Flames3200100013761000100032122000000105561.00013203300787995610189788781835802724788337.50%6183.33%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
10Flyers31101000131121010000025-321001000116540.6671318310078799561078978878183599292093300.00%5180.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
11Islanders30300000811-31010000034-12020000057-200.0008132100787995610889788781835933187110440.00%4175.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
12Kings53100010191182200000082631100010119280.80019325100787995613689788781835158513212511218.18%11281.82%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
13Maple Leafs31200000916-720200000614-81100000032120.3339142310787995691897887818351183851756116.67%8450.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
14Oilers3200000111562200000010371000000112-150.833111627007879956938978878183511142487514214.29%90100.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
15Penguins321000001165211000007521100000041340.66711213200787995699897887818351123714614125.00%8187.50%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
16Predators523000001720-321100000106431200000714-740.400172744007879956139897887818351726413412619421.05%22481.82%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
17Rangers321000008711010000024-22200000063340.66781422007879956938978878183597295661600.00%3166.67%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
18Red Wings3110000169-3110000003122010000138-530.500610160078799561008978878183591321276100.00%6183.33%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
19Sabres31200000813-51010000025-32110000068-220.333814220078799569189788781835972613754250.00%4250.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
20Senateurs32100000972110000004222110000055040.667914230078799561088978878183510227681500.00%30100.00%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
21Sharks330000001376220000009541100000042261.000132538007879956101897887818358231388611327.27%9277.78%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
22Stars523000001216-42110000045-131200000811-340.400122335107879956167897887818351755315813024729.17%29389.66%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
23Wild532000001415-13300000010732020000048-460.60014253900787995614489788781835134357314328517.86%19289.47%01047204551.20%1021206249.52%640123151.99%1751102318057291394691
Total823834023142552523412115012021391261341171901112116126-10890.5432554316862078799562616897887818352659829114220982504819.20%2424481.82%11047204551.20%1021206249.52%640123151.99%1751102318057291394691
_Since Last GM Reset823834023142552523412115012021391261341171901112116126-10890.5432554316862078799562616897887818352659829114220982504819.20%2424481.82%11047204551.20%1021206249.52%640123151.99%1751102318057291394691
_Vs Conference462218012121471416241560110186652122712001116176-15520.565147249396107879956143789788781835147547082712021903518.42%1763082.95%11047204551.20%1021206249.52%640123151.99%1751102318057291394691
_Vs Division261113002007387-1413930010045351013210001002852-24240.46273126199107879956806897887818358372586036661312216.79%1201984.17%11047204551.20%1021206249.52%640123151.99%1751102318057291394691

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8289W6255431686261626598291142209820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238342314255252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121151202139126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117191112116126
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
2504819.20%2424481.82%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
897887818357879956
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
1047204551.20%1021206249.52%640123151.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1751102318057291394691


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
210Blackhawks4Kings2AWR2Sommaire du match
318Blackhawks3Predators2AWSommaire du match
526Avalanche5Blackhawks4BLXR5Sommaire du match
743Avalanche2Blackhawks3BWSommaire du match
1057Wild2Blackhawks3BWR5Sommaire du match
1475Blackhawks1Stars3ALSommaire du match
1682Predators2Blackhawks7BWSommaire du match
19100Blackhawks2Blues5ALR5Sommaire du match
20108Wild3Blackhawks4BWR5Sommaire du match
23118Blackhawks1Wild3ALSommaire du match
25129Canucks5Blackhawks3BLR2Sommaire du match
26142Blackhawks1Red Wings5ALSommaire du match
29152Blues2Blackhawks4BWR5Sommaire du match
32171Maple Leafs8Blackhawks2BLSommaire du match
34181Blackhawks2Predators5ALSommaire du match
37197Islanders4Blackhawks3BLSommaire du match
40209Blackhawks2Blues3ALR5Sommaire du match
42219Blackhawks2Ducks4ALR2Sommaire du match
43226Rangers4Blackhawks2BLSommaire du match
46244Flames2Blackhawks3BWXR2Sommaire du match
50260Blackhawks6Flames4AWSommaire du match
51271Bruins1Blackhawks3BWSommaire du match
54287Blackhawks3Rangers2AWSommaire du match
55293Penguins4Blackhawks3BLSommaire du match
58308Blackhawks3Maple Leafs2AWSommaire du match
59316Bruins5Blackhawks3BLSommaire du match
62328Blackhawks3Senateurs1AWSommaire du match
64339Stars2Blackhawks3BWSommaire du match
66351Blackhawks3Wild5ALR5Sommaire du match
68362Blackhawks3Kings2AWXXR2Sommaire du match
69370Wild2Blackhawks3BWSommaire du match
73386Ducks4Blackhawks2BLR2Sommaire du match
75398Blackhawks2Devils1AWSommaire du match
78405Blackhawks4Islanders5ALSommaire du match
81418Blues1Blackhawks2BWR5Sommaire du match
84438Maple Leafs6Blackhawks4BLSommaire du match
87450Blackhawks3Blues4ALXR5Sommaire du match
90463Senateurs2Blackhawks4BWSommaire du match
92472Blackhawks4Penguins1AWSommaire du match
94485Red Wings1Blackhawks3BWSommaire du match
98505Blackhawks4Sharks2AWR2Sommaire du match
99512Stars3Blackhawks1BLSommaire du match
102527Blackhawks4Bruins2AWSommaire du match
103535Ducks4Blackhawks3BLXXR2Sommaire du match
108556Penguins1Blackhawks4BWSommaire du match
112575Blackhawks2Predators7ALSommaire du match
113580Canadiens3Blackhawks2BLXSommaire du match
118603Capitals2Blackhawks8BWSommaire du match
120614Blackhawks2Senateurs4ALSommaire du match
121624Blackhawks3Rangers1AWSommaire du match
123632Predators4Blackhawks3BLSommaire du match
126649Oilers1Blackhawks6BWSommaire du match
129663Blackhawks5Canucks2AWR2Sommaire du match
131675Capitals4Blackhawks2BLSommaire du match
133683Blackhawks2Red Wings3ALXXSommaire du match
136698Kings1Blackhawks5BWR2Sommaire du match
140716Blackhawks1Oilers2ALXXSommaire du match
141722Kings1Blackhawks3BWR2Sommaire du match
145747Oilers2Blackhawks4BWSommaire du match
147753Blackhawks2Capitals3ALSommaire du match
149766Blackhawks1Islanders2ALSommaire du match
150771Sabres5Blackhawks2BLSommaire du match
153790Blackhawks3Sabres2AWSommaire du match
154796Devils5Blackhawks4BLXXSommaire du match
156807Blackhawks1Avalanche3ALR5Sommaire du match
158817Blackhawks3Sabres6ALSommaire du match
159821Avalanche3Blackhawks2BLR5Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163842Avalanche4Blackhawks6BWSommaire du match
166865Flyers5Blackhawks2BLSommaire du match
167869Blackhawks1Canadiens3ALSommaire du match
169880Blackhawks1Avalanche4ALR5Sommaire du match
170889Canucks5Blackhawks3BLSommaire du match
172897Blackhawks4Kings5ALR2Sommaire du match
174913Devils1Blackhawks2BWSommaire du match
175916Blackhawks5Flyers1AWSommaire du match
179932Blackhawks3Stars5ALSommaire du match
180938Blackhawks6Flyers5AWXSommaire du match
183948Sharks3Blackhawks5BWR2Sommaire du match
187962Sharks2Blackhawks4BWSommaire du match
188963Blackhawks4Flames1AWR2Sommaire du match
189965Blackhawks3Canadiens1AWSommaire du match
190973Blackhawks4Stars3AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance79,53939,659
Assistance PCT97.00%96.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2907 - 96.91% 124,310$5,096,704$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
8,398,843$ 3,326,166$ 1,766,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,398,891$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 43,141$ 0$




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