Connexion

Blackhawks
GP: 82 | W: 37 | L: 35 | OTL: 10 | P: 84
GF: 237 | GA: 233 | PP%: 15.38% | PK%: 84.05%
DG: Libre | Morale : 33 | Moyenne d’équipe : 69
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Centre de jeu
Blackhawks
37-35-10, 84pts
2
FINAL
6 Penguins
56-21-5, 117pts
Team Stats
OTL1StreakW4
25-12-4Home Record29-9-3
12-23-6Away Record27-12-2
2-7-1Last 10 Games9-1-0
2.89Buts par match 3.72
2.84Buts contre par match 3.10
15.38%Pourcentage en avantage numérique21.91%
84.05%Pourcentage en désavantage numérique80.37%
Blackhawks
37-35-10, 84pts
1
FINAL
2 Flames
39-33-10, 88pts
Team Stats
OTL1StreakL1
25-12-4Home Record23-13-5
12-23-6Away Record16-20-5
2-7-1Last 10 Games4-4-2
2.89Buts par match 3.06
2.84Buts contre par match 3.41
15.38%Pourcentage en avantage numérique14.03%
84.05%Pourcentage en désavantage numérique80.43%
Meneurs d'équipe
Buts
Chris Terry
34
Passes
Mark Jankowski
45
Points
Chris Terry
74
Plus/Moins
Ty Smith
35
Victoires
Charlie Lindgren
28
Pourcentage d’arrêts
Charlie Lindgren
0.914

Statistiques d’équipe
Buts pour
237
2.89 GFG
Tirs pour
2607
31.79 Avg
Pourcentage en avantage numérique
15.4%
42 GF
Début de zone offensive
38.9%
Buts contre
233
2.84 GAA
Tirs contre
2617
31.91 Avg
Pourcentage en désavantage numérique
84.1%
37 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralLibre
EntraîneurTom Renney
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,861
Billets de saison1,800


Informations de la formation

Équipe Pro35
Équipe Mineure20
Limite contact 55 / 60
Espoirs37


Historique d'équipe

Saison actuelle37-35-10 (84PTS)
Historique159-129-28 (0.503%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)8-8
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Andrei LoktionovX100.002216996571898197709587537182793146740312700,000$
2Tyler Pitlick (R)X100.0081379565768186845578788263806961547303012,000,000$
3Mark Jankowski (R)X100.005735946789738682868070916574697845730272900,000$
4Drake Batherson (R)X100.008435927479838172647175667366695558700241763,333$
5Jordan Greenway (R)X100.008167746999819070617664726668666864700251916,666$
6Nikolay Goldobin (R)X100.006138767072817681498273746459567564700261575,000$
7Tim Stützle (R)X100.006935917976848677597472648260659045700203925,000$
8Pierre-Edouard Bellemare (R)X100.005936906473779064876566866687772060680371700,000$
9Michael Rasmussen (R)X100.008362796599837166756762686464668558660231894,166$
10Evgeny Svechnikov (R)X100.006942856785838468576563627370677955660252575,000$
11Klim Kostin (R)X100.008135956682767869756762666564697719660222863,333$
12Brendan Gaunce (R)X100.006346906379727365726362796374697519650281575,000$
13MacKenzie Weegar (R)X100.0085727769748985673080698755746941557402832,000,000$
14Andrej SustrX100.0072406470817280702571588450908540277203131,500,000$
15Matt IrwinX100.0084546264766270803078758062908527147103431,500,000$
16Radim Simek (R)X100.007834936574797671307759855077673544710291675,000$
17Tucker Poolman (R)X100.007939926680878564307059685276704734680282775,000$
18Ty Smith (R)X100.006139857568897873308059625462648341660223863,333$
Rayé
1Chris Terry (R)X98.7737189970744863995299918668928131197703311,250,000$
2Luke Johnson (R)X100.008135916768697162746264676473714819640271700,000$
3Vinni Lettieri (R)X100.005835706872646372707167715456554220640273575,000$
4Jack Studnicka (R)X100.005835876672868565736662686563627120640232769,167$
5Vitaly Abramov (R)X100.005033846670747469546664656465676620630231730,833$
6Anthony Richard (R)X100.005541906067798166536463645970675719620251671,667$
7Alexandre Fortin (R)X100.005535736372546265575956665555544314580251706,666$
8Nikita Tryamkin (R)X100.009668516486717754254843775566667419660271600,000$
9Joe Hicketts (R)X100.005040936369837468306659775369655420650253600,000$
10Nicolas Meloche (R)X100.005635956284727764306655625067647319630243750,000$
11Dan Renouf (R)X100.007162736183727458306556625173673720630273850,000$
12Frédéric Allard (R)X100.005335916673837664306356585067646320620243750,000$
MOYENNE D’ÉQUIPE99.93664184677777787152716572617168583467
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
1Charlie Lindgren (R)100.008083977584999693947951847434598502811,000,000$
2Adin Hill (R)100.008189839380848685848180697363528202531,250,000$
Rayé
1Alex Nedeljkovic (R)100.00838884728286888786838271757720810262575,000$
2Dan Vladar (R)100.00798380867882848382797868726419790243750,000$
3Jonas Johansson (R)100.00768881937579818079767571756419780262700,000$
MOYENNE D’ÉQUIPE100.0080868584808687868580737374603481
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tom Renney51536455977159CAN662700,000$


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
1Andrei LoktionovBlackhawks (CHI)C75324274300361862938015510.92%46153120.42713203322521391642251.22%18493115020.9723000444
2Chris TerryBlackhawks (CHI)LW65344074600561112227613315.32%41129919.99714213217502201373338.01%3424921101.1403000555
3Mark JankowskiBlackhawks (CHI)C82254570-2100972112327414410.78%31155318.947815292070335949253.26%16883731000.9002000593
4Nikolay GoldobinBlackhawks (CHI)LW8228336174201621162719814410.33%24150718.38819322080001446035.96%896023000.8100000326
5Tyler PitlickBlackhawks (CHI)RW821824429255200120169457610.65%36167720.4558133024610191691038.56%1533119000.5014001334
6Tim StützleBlackhawks (CHI)LW80191938-10608586231781388.23%17112214.03101368000113231.94%725714000.6800000220
7Drake BathersonBlackhawks (CHI)RW82132437-716015276194561086.70%31111213.570112360003212057.14%563117000.6600000122
8Jordan GreenwayBlackhawks (CHI)RW82152035-79925185116133377611.28%25140317.121348178000023040.79%761729010.5000302302
9Pierre-Edouard BellemareBlackhawks (CHI)C821320339405813380214916.25%34109413.351011120110601056.08%699923000.6000000011
10Ryan StantonBlackhawksD5061622-11140769613151524.58%62121124.24257201781122132110.00%03616100.3600000211
11Ty SmithBlackhawks (CHI)D7722022354805873422374.76%71125516.3000005011284020.00%01734000.3500000000
12MacKenzie WeegarBlackhawks (CHI)D8221618-1497251901278749422.30%104192823.522810142770001190000.00%02756000.1900113101
13Michael RasmussenBlackhawks (CHI)C789615-5120795554243816.67%136318.10000021013292044.54%229136000.4700000121
14Andrej SustrBlackhawks (CHI)D7931215-138951851288139263.70%99170021.5203382001012138000.00%02263100.1800010000
15Klim KostinBlackhawks (CHI)LW7331215-10062458131573.70%96108.3600002000141041.67%12144000.4900000000
16Matt IrwinBlackhawks (CHI)D6231114-197201481018444323.57%57127220.531128136000179000.00%02931000.2200000000
17Radim SimekBlackhawks (CHI)D731121316201171045424241.85%90135518.56011085000081000.00%0855000.1900000002
18Evgeny SvechnikovBlackhawks (CHI)RW825611-46039369935525.05%105987.3000004000090035.29%17104000.3700000000
19Tucker PoolmanBlackhawks (CHI)D53178110079633714162.70%5891317.23000026000036000.00%01329000.1800000001
20Joe HickettsBlackhawks (CHI)D150448005177510.00%1224116.1100000000013000.00%023000.3300000000
21Brendan GaunceBlackhawks (CHI)LW34224-5001724246158.33%72667.85000010000141055.56%2746000.3000000000
22Alexandre FortinBlackhawks (CHI)LW510120012100100.00%0285.630000000000000.00%000000.7100000001
23Dan RenoufBlackhawks (CHI)D1000000200000.00%11414.170000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1476235391626-25526020892026260791013859.01%8782433016.48426610822022806915401514351250.35%5309517499330.51312426303134
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
1Charlie LindgrenBlackhawks (CHI)57282340.9142.713372201521762737120.77895626431
2Adin HillBlackhawks (CHI)2891260.9142.7715800073849388241.00022656121
Statistiques d’équipe totales ou en moyenne853735100.9142.7349522022526111125360.818118282552


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Adin HillBlackhawks (CHI)G251996-05-11 04:47:09Yes203 Lbs6 ft6NoNoNo3Pro & Farm1,250,000$6,545$0$0$No1,250,000$1,250,000$
Alex NedeljkovicBlackhawks (CHI)G261996-01-07 03:29:30Yes190 Lbs6 ft0NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Alexandre FortinBlackhawks (CHI)LW251997-02-25 03:48:15Yes184 Lbs6 ft0NoNoNo1Pro & Farm706,666$3,700$0$0$No
Andrei LoktionovBlackhawks (CHI)C311990-05-30 11:11:13No188 Lbs5 ft10NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Andrej SustrBlackhawks (CHI)D311990-11-29 17:11:13No220 Lbs6 ft8NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Anthony RichardBlackhawks (CHI)C251996-12-20 05:54:15Yes163 Lbs5 ft10NoNoNo1Pro & Farm671,667$3,517$0$0$No
Brendan GaunceBlackhawks (CHI)LW281994-03-25 17:11:13Yes217 Lbs6 ft2NoNoNo1Pro & Farm575,000$3,010$0$0$No
Charlie LindgrenBlackhawks (CHI)G281993-12-18 06:39:26Yes185 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$5,236$0$0$No
Chris TerryBlackhawks (CHI)LW331989-04-07 11:11:13Yes203 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$6,545$0$0$No
Dan RenoufBlackhawks (CHI)D271994-06-01 14:21:38Yes198 Lbs6 ft3NoNoNo3Pro & Farm850,000$4,450$0$0$No850,000$850,000$
Dan VladarBlackhawks (CHI)G241997-08-20 04:51:33Yes194 Lbs6 ft5NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Drake BathersonBlackhawks (CHI)RW241998-04-27 05:56:24Yes205 Lbs6 ft1NoNoNo1Pro & Farm763,333$3,997$0$0$No
Evgeny SvechnikovBlackhawks (CHI)RW251996-10-31 03:35:20Yes207 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Frédéric AllardBlackhawks (CHI)D241997-12-27 04:53:34Yes179 Lbs6 ft1NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Jack StudnickaBlackhawks (CHI)C231999-02-18 01:10:12Yes172 Lbs6 ft1NoNoNo2Pro & Farm769,167$4,027$0$0$No769,167$
Joe HickettsBlackhawks (CHI)D251996-05-04 06:37:59Yes180 Lbs5 ft8NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Jonas JohanssonBlackhawks (CHI)G261995-09-19 10:58:03Yes220 Lbs6 ft5NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Jordan GreenwayBlackhawks (CHI)RW251997-02-16 06:02:05Yes227 Lbs6 ft6NoNoNo1Pro & Farm916,666$4,799$0$0$No
Klim KostinBlackhawks (CHI)LW221999-05-05 01:15:14Yes75 Lbs1 ft9NoNoNo2Pro & Farm863,333$4,520$0$0$No863,333$
Luke JohnsonBlackhawks (CHI)C271994-09-19 07:58:28Yes198 Lbs5 ft11NoNoNo1Pro & Farm700,000$3,665$0$0$No
MacKenzie WeegarBlackhawks (CHI)D281994-01-07 06:33:09Yes200 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$10,471$0$0$No2,000,000$2,000,000$
Mark JankowskiBlackhawks (CHI)C271994-09-13 03:41:29Yes203 Lbs6 ft4NoNoNo2Pro & Farm900,000$4,712$0$0$No900,000$
Matt IrwinBlackhawks (CHI)D341987-11-29 23:11:13No207 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Michael RasmussenBlackhawks (CHI)C231999-04-17 05:58:39Yes229 Lbs6 ft6NoNoNo1Pro & Farm894,166$4,681$0$0$No
Nicolas MelocheBlackhawks (CHI)D241997-07-18 04:56:37Yes205 Lbs6 ft3NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Nikita TryamkinBlackhawks (CHI)D271994-08-30 17:11:13Yes243 Lbs6 ft8NoNoNo1Pro & Farm600,000$3,141$0$0$No
Nikolay GoldobinBlackhawks (CHI)LW261995-10-07 23:11:13Yes196 Lbs5 ft11NoNoNo1Pro & Farm575,000$3,010$0$0$No
Pierre-Edouard BellemareBlackhawks (CHI)C371985-03-06 11:11:13Yes198 Lbs6 ft0NoNoNo1Pro & Farm700,000$3,665$0$0$No
Radim SimekBlackhawks (CHI)D291992-09-20 04:08:57Yes200 Lbs5 ft11NoNoNo1Pro & Farm675,000$3,534$0$0$No
Tim StützleBlackhawks (CHI)LW202002-01-15 05:01:02Yes196 Lbs6 ft0NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Tucker PoolmanBlackhawks (CHI)D281993-06-08 12:09:14Yes216 Lbs6 ft4NoNoNo2Pro & Farm775,000$4,058$0$0$No775,000$
Ty SmithBlackhawks (CHI)D222000-03-24 05:03:23Yes179 Lbs5 ft11NoNoNo3Pro & Farm863,333$4,520$0$0$No863,333$863,333$
Tyler PitlickBlackhawks (CHI)RW301991-11-01 23:11:13Yes200 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$10,471$0$0$No
Vinni LettieriBlackhawks (CHI)C271995-02-06 06:42:45Yes191 Lbs5 ft11NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Vitaly AbramovBlackhawks (CHI)RW231998-05-08 05:50:13Yes171 Lbs5 ft9NoNoNo1Pro & Farm730,833$3,826$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3526.54195 Lbs6 ft01.91883,690$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinAndrei LoktionovTyler Pitlick35122
2Tim StützleMark JankowskiDrake Batherson35122
3Klim KostinPierre-Edouard BellemareJordan Greenway25122
4Brendan GaunceMichael RasmussenEvgeny Svechnikov5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarAndrej Sustr35122
2Matt IrwinRadim Simek35122
3Tucker PoolmanTy Smith30122
4MacKenzie WeegarAndrej Sustr0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinAndrei LoktionovTyler Pitlick60122
2Tim StützleMark JankowskiDrake Batherson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarAndrej Sustr60122
2Matt IrwinRadim Simek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrei LoktionovTyler Pitlick60122
2Mark JankowskiDrake Batherson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarAndrej Sustr60122
2Matt IrwinRadim Simek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrei Loktionov60122MacKenzie WeegarAndrej Sustr60122
2Tyler Pitlick40122Matt IrwinRadim Simek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrei LoktionovTyler Pitlick60122
2Mark JankowskiDrake Batherson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1MacKenzie WeegarAndrej Sustr60122
2Matt IrwinRadim Simek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinAndrei LoktionovTyler PitlickMacKenzie WeegarAndrej Sustr
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinAndrei LoktionovTyler PitlickMacKenzie WeegarAndrej Sustr
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Greenway, Pierre-Edouard Bellemare, Michael RasmussenJordan Greenway, Pierre-Edouard BellemareMichael Rasmussen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Ty Smith, Matt IrwinTucker PoolmanTy Smith, Matt Irwin
Tirs de pénalité
Andrei Loktionov, Tyler Pitlick, Mark Jankowski, Drake Batherson, Nikolay Goldobin
Gardien
#1 : Adin Hill, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Andrei Loktionov, Tyler Pitlick, Mark Jankowski, Drake Batherson, Nikolay Goldobin, Tim Stützle, Tim Stützle, Jordan Greenway, Pierre-Edouard Bellemare, Michael Rasmussen, Evgeny Svechnikov
Lignes de défense personnalisées en prolongation
MacKenzie Weegar, Andrej Sustr, Matt Irwin, Radim Simek, 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
1Avalanche612011011818031001100128430200001610-460.50018304800757581718487589680939184556318039923.08%24387.50%11063205051.85%988201549.03%622120951.45%1797105317557351411708
2Blues61202010171613100101096330201000810-280.6671723400075758171818758968093918975761772713.70%33875.76%11063205051.85%988201549.03%622120951.45%1797105317557351411708
3Bruins31200000911-22110000089-11010000012-120.3339172600757581789875896809399238669600.00%3166.67%01063205051.85%988201549.03%622120951.45%1797105317557351411708
4Canadiens21100000550110000004311010000012-120.500591400757581764875896809396220461200.00%20100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
5Canucks422000001394220000009272020000047-340.500132235007575817143875896809391394822941317.69%11281.82%01063205051.85%988201549.03%622120951.45%1797105317557351411708
6Capitals22000000523110000002111100000031241.0005813007575817768758968093971260585120.00%000.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
7Devils20200000510-51010000046-21010000014-300.0005914107575817618758968093965236623133.33%30100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
8Ducks53200000161423120000079-22200000095460.60016314710757581717087589680939167603511513215.38%10190.00%11063205051.85%988201549.03%622120951.45%1797105317557351411708
9Flames4110020069-3210001005502010010014-340.500691510757581712087589680939114374110317211.76%18288.89%01063205051.85%988201549.03%622120951.45%1797105317557351411708
10Flyers22000000835110000005141100000032141.0008122000757581781875896809395930042400.00%000.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
11Islanders2010010036-31000010023-11010000013-210.25035800757581765875896809396920661200.00%30100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
12Kings514000001315-2211000008623030000059-420.20013223500757581716287589680939144422612617423.53%13561.54%01063205051.85%988201549.03%622120951.45%1797105317557351411708
13Maple Leafs22000000835110000006241100000021141.00081422007575817618758968093976176432150.00%30100.00%11063205051.85%988201549.03%622120951.45%1797105317557351411708
14Oilers42200000121022200000010552020000025-340.5001219310075758171138758968093913538169811218.18%80100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
15Penguins2110000058-3110000003211010000026-420.5005712007575817688758968093976171254200.00%6266.67%11063205051.85%988201549.03%622120951.45%1797105317557351411708
16Predators613001011622-631200000710-330100101912-340.33316223800757581718187589680939196554415227622.22%22386.36%11063205051.85%988201549.03%622120951.45%1797105317557351411708
17Rangers220000001147110000005321100000061541.00011193000757581766875896809396527450500.00%20100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
18Red Wings3110010056-1110000003122010010025-330.500581300757581789875896809391044415624125.00%5180.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
19Sabres21100000660110000003211010000034-120.50061016007575817598758968093964221033200.00%5260.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
20Senateurs2020000026-41010000013-21010000013-200.000246107575817588758968093966171042400.00%5180.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
21Sharks41100200151412010010058-321000100106440.50015294410757581712987589680939130552590900.00%10190.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
22Stars6310101024141032100000159631001010954100.83324366000757581719387589680939176527216134823.53%210100.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
23Wild624000001522-731200000911-231200000611-540.33315264110757581719487589680939174605515625312.00%25580.00%01063205051.85%988201549.03%622120951.45%1797105317557351411708
Total8231350482223723344122120241014211527419230241295118-23840.512237391628607575817260787589680939261787855420892734215.38%2323784.05%61063205051.85%988201549.03%622120951.45%1797105317557351411708
_Since Last GM Reset8231350482223723344122120241014211527419230241295118-23840.512237391628607575817260787589680939261787855420892734215.38%2323784.05%61063205051.85%988201549.03%622120951.45%1797105317557351411708
_Vs Conference561824046221651632281390231096791728515023126984-15560.500165269434407575817177087589680939174857747514522323816.38%1953084.62%41063205051.85%988201549.03%622120951.45%1797105317557351411708
_Vs Division30812042229092-2156502110524481527021123848-10320.53390137227107575817933875896809399192973108261522717.76%1251984.80%31063205051.85%988201549.03%622120951.45%1797105317557351411708

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8284OTL123739162826072617878554208960
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8231354822237233
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122122410142115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41923241295118
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2734215.38%2323784.05%6
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
875896809397575817
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
1063205051.85%988201549.03%622120951.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1797105317557351411708


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
3 - 2021-10-1713Predators4Blackhawks2BLSommaire du match
7 - 2021-10-2129Wild1Blackhawks2BWR5Sommaire du match
9 - 2021-10-2340Blackhawks3Stars2AWXXSommaire du match
11 - 2021-10-2548Blackhawks2Kings3ALR2Sommaire du match
13 - 2021-10-2761Avalanche3Blackhawks4BWXSommaire du match
15 - 2021-10-2975Blackhawks3Predators4ALSommaire du match
17 - 2021-10-3182Blues1Blackhawks2BWR5Sommaire du match
21 - 2021-11-04101Ducks3Blackhawks1BLR2Sommaire du match
23 - 2021-11-06112Blackhawks2Wild1AWR5Sommaire du match
25 - 2021-11-08122Stars3Blackhawks7BWSommaire du match
27 - 2021-11-10131Blackhawks3Avalanche4ALXXR5Sommaire du match
30 - 2021-11-13147Blackhawks1Blues3ALSommaire du match
33 - 2021-11-16158Canucks1Blackhawks5BWR2Sommaire du match
35 - 2021-11-18172Ducks2Blackhawks4BWSommaire du match
40 - 2021-11-23192Blackhawks2Canucks3ALR2Sommaire du match
41 - 2021-11-24198Kings3Blackhawks6BWR2Sommaire du match
45 - 2021-11-28217Red Wings1Blackhawks3BWSommaire du match
49 - 2021-12-02241Senateurs3Blackhawks1BLSommaire du match
53 - 2021-12-06261Blackhawks6Sharks1AWR2Sommaire du match
54 - 2021-12-07266Avalanche3Blackhawks2BLXSommaire du match
57 - 2021-12-10286Blackhawks3Flyers2AWSommaire du match
58 - 2021-12-11291Avalanche2Blackhawks6BWR5Sommaire du match
62 - 2021-12-15312Blackhawks2Kings4ALR2Sommaire du match
63 - 2021-12-16315Wild4Blackhawks3BLSommaire du match
66 - 2021-12-19336Blackhawks1Kings2ALR2Sommaire du match
67 - 2021-12-20338Islanders3Blackhawks2BLXSommaire du match
71 - 2021-12-24357Blackhawks1Bruins2ALSommaire du match
72 - 2021-12-25360Penguins2Blackhawks3BWSommaire du match
75 - 2021-12-28375Blackhawks6Rangers1AWSommaire du match
76 - 2021-12-29385Oilers3Blackhawks5BWSommaire du match
79 - 2022-01-01400Blackhawks3Sabres4ALSommaire du match
81 - 2022-01-03409Devils6Blackhawks4BLSommaire du match
83 - 2022-01-05418Blackhawks1Devils4ALSommaire du match
86 - 2022-01-08433Canucks1Blackhawks4BWR2Sommaire du match
88 - 2022-01-10446Blackhawks2Avalanche3ALR5Sommaire du match
90 - 2022-01-12457Canadiens3Blackhawks4BWSommaire du match
92 - 2022-01-14469Blackhawks3Predators4ALXSommaire du match
94 - 2022-01-16477Blackhawks1Avalanche3ALR5Sommaire du match
95 - 2022-01-17483Stars2Blackhawks7BWSommaire du match
98 - 2022-01-20504Flames2Blackhawks3BWR2Sommaire du match
100 - 2022-01-22511Blackhawks4Sharks5ALXR2Sommaire du match
103 - 2022-01-25529Ducks4Blackhawks2BLSommaire du match
106 - 2022-01-28547Blackhawks2Oilers3ALSommaire du match
107 - 2022-01-29553Stars4Blackhawks1BLSommaire du match
110 - 2022-02-01571Blackhawks3Capitals1AWSommaire du match
111 - 2022-02-02577Rangers3Blackhawks5BWSommaire du match
115 - 2022-02-06600Blues2Blackhawks3BWXXR5Sommaire du match
117 - 2022-02-08609Blackhawks4Ducks3AWR2Sommaire du match
120 - 2022-02-11625Blues3Blackhawks4BWXSommaire du match
122 - 2022-02-13636Blackhawks1Canadiens2ALSommaire du match
124 - 2022-02-15648Sharks4Blackhawks2BLR2Sommaire du match
126 - 2022-02-17659Blackhawks3Predators4ALXXSommaire du match
128 - 2022-02-19668Blackhawks0Oilers2ALSommaire du match
129 - 2022-02-20675Capitals1Blackhawks2BWSommaire du match
132 - 2022-02-23690Blackhawks0Flames2ALR2Sommaire du match
133 - 2022-02-24697Oilers2Blackhawks5BWSommaire du match
136 - 2022-02-27719Blackhawks2Canucks4ALR2Sommaire du match
137 - 2022-02-28721Sharks4Blackhawks3BLXR2Sommaire du match
141 - 2022-03-04744Maple Leafs2Blackhawks6BWSommaire du match
142 - 2022-03-05752Blackhawks1Red Wings2ALXSommaire du match
144 - 2022-03-07766Wild6Blackhawks4BLR5Sommaire du match
146 - 2022-03-09772Blackhawks2Maple Leafs1AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-03-13788Blackhawks1Red Wings3ALSommaire du match
151 - 2022-03-14795Sabres2Blackhawks3BWSommaire du match
154 - 2022-03-17814Bruins5Blackhawks7BWSommaire du match
156 - 2022-03-19824Blackhawks1Islanders3ALSommaire du match
158 - 2022-03-21834Blackhawks5Blues4AWXR5Sommaire du match
159 - 2022-03-22841Flames3Blackhawks2BLXR2Sommaire du match
161 - 2022-03-24847Blackhawks5Ducks2AWSommaire du match
163 - 2022-03-26861Blackhawks2Blues3ALR5Sommaire du match
164 - 2022-03-27865Blackhawks4Stars2AWSommaire du match
165 - 2022-03-28870Predators2Blackhawks4BWSommaire du match
169 - 2022-04-01887Blackhawks1Senateurs3ALSommaire du match
170 - 2022-04-02894Predators4Blackhawks1BLSommaire du match
173 - 2022-04-05910Blackhawks3Wild7ALR5Sommaire du match
174 - 2022-04-06918Flyers1Blackhawks5BWSommaire du match
177 - 2022-04-09934Blackhawks1Wild3ALR5Sommaire du match
179 - 2022-04-11941Bruins4Blackhawks1BLSommaire du match
184 - 2022-04-16961Kings3Blackhawks2BLR2Sommaire du match
185 - 2022-04-17962Blackhawks2Stars1AWXSommaire du match
186 - 2022-04-18965Blackhawks2Penguins6ALSommaire du match
187 - 2022-04-19966Blackhawks1Flames2ALXR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance78,26539,035
Assistance PCT95.45%95.21%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2861 - 95.37% 122,328$5,015,452$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,762,741$ 3,092,917$ 1,692,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,193$ 3,073,723$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 19,858$ 19,858$




Blackhawks Leaders statistiques (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
1Andrei Loktionov232971412381709649785211.38%118440518.99193453925382110550.85%51.0857
2Chris Terry19511012023023215232068915.97%111385219.76303666112178412739.16%01.1919
3Mark Jankowski24670144214-35436461767010.45%112465118.91183856860771323552.98%00.9218
4Nikolay Goldobin24678102180161234193377919.86%85427717.391832170011414237.25%00.8400
5Tyler Pitlick2335979138285854333653910.95%110466920.0417264398516244239.68%00.59312

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
1Charlie Lindgren1728665140.9102.841014714248053332204560.71428
2Adin Hill863234150.9033.1147082024425281157781.0007

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
Saison régulière
1282313005358288300-1241161502323151148341151503035137152-15622884797672093959020299010161008935833013109873522143115918.97%2905182.41%11089216450.32%1089221449.19%649131049.54%1800103917707541433716
15823929028312842777412015012211491445411914016101351332972844627462276106977267086591387431264192262421482715018.45%2455179.18%91014194852.05%911196146.46%588123047.80%1812110117997081345677
168231350482223723344122120241014211527419230241295118-2384237391628607575817260787589680939261787855420892734215.38%2323784.05%61063205051.85%988201549.03%622120951.45%1797105317557351411708
168231350482223723344122120241014211527419230241295118-2384237391628607575817260787589680939261787855420892734215.38%2323784.05%61063205051.85%988201549.03%622120951.45%1797105317557351411708
Total Saison régulière3281321290152712131046104331648054071364584522621645275081469462521-59327104617232769162319351349411087436313713342719210888377624678540112819317.11%99917682.38%224229821251.50%3976820548.46%2481495850.04%720742477080293456012811
Séries éliminatoires
151688000005052-2826000001927-886200000312561650901400014211505281431772044535189161431651421.54%581082.76%022043450.69%17543140.60%12926049.62%341195353149276138
Total Séries éliminatoires1688000005052-2826000001927-886200000312561650901400014211505281431772044535189161431651421.54%581082.76%022043450.69%17543140.60%12926049.62%341195353149276138

Blackhawks Leaders statistiques (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
1Chris Terry1671219-7215314117.07%732520.35178800001131.90%01.1700
2Andrei Loktionov1671219205224914.29%625215.79448700002046.22%01.5000
3Jimmy Vesey16711180435264515.56%1028117.60347500010140.00%01.2800
4Ryan Stanton1611415-103727472.13%2339124.4716780002000.00%00.7700
5Mark Jankowski165510-71639363713.51%631419.694041600012055.24%00.6300

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
1Charlie Lindgren145620.8993.457480043427167000.0000
2Adin Hill53000.9172.4322220910849200.0000