Blackhawks

GP: 82 | W: 41 | L: 29 | OTL: 12 | P: 94
GF: 225 | GA: 228 | PP%: 19.34% | PK%: 82.59%
DG: Libre | Morale : 49 | Moyenne d'Équipe : 66
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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 SP
1Tyler Pitlick (R)X100.008049706976889673586972735575566377700
2Chris Terry (R)X100.004324997074536391547974766883723563700
3Jimmy Vesey (R)X100.006741777083859469566972746069536366690
4Mark Jankowski (R)X100.006035757089809269846868835669527949690
5Pierre-Edouard Bellemare (R)X100.006635766674798863876463796483732269670
6Jordan Greenway (R)X100.006341716798829566686566675366517269660
7Andrei LoktionovX100.002923996572788178707772417174713669660
8Michael Rasmussen (R)X100.007141716697777865676565645265518873650
9Nikolay Goldobin (R)X100.005835787072837669507165676455527869650
10Brendan Gaunce (R)X100.005935627084846862726063726272577540640
11Drake Batherson (R)X100.005535677081586070556766665951505969630
12Vinni Lettieri (R)X100.005835706871686367706766665452514366630
13Stefan Eliott (R)X100.005235716675768899619996727582725457750
14Matt IrwinX100.007747696479707072307170756282773257690
15Evgeny Medvedev (R)X100.007751687174756576256964735070694642680
16Nikita Tryamkin (R)X100.009769506489747757255250715562627768660
17Seth Helgeson (R)X100.006045716282636671254747745571645434630
18Radim Simek (R)X100.007435806572775465306861635262513719620
Rayé
1Nathan Walker (R)X100.005135627067515170506363635164526016600
2Luke Johnson (R)X100.005635676968565768716463645451505520600
3Anthony Richard (R)X100.005035677063505070706464645050506120590
4Alexandre Fortin (R)X100.005535736371596263575858595551504420570
5Vitaly Abramov (R)X100.005035646664505066505959505950506720560
6Evgeny Svechnikov (R)X100.006042696479518852485350595059568020560
7MacKenzie Weegar (R)X98.587953676674807765306763735564524760670
8Joe Hicketts (R)X100.005335626664555566305353755155534418600
9John Gilmour (R)X100.005135676972526269306363635165544414600
MOYENNE D'ÉQUIPE99.93613971677669716953666468576557564764
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 SP
1Antti Raanta (R)100.00848888768195969393826083743469850
2Charlie Lindgren (R)100.00778397758198878585765178683869810
Rayé
1Adin Hill (R)100.00797880937882848382787351656520780
2Alex Nedeljkovic (R)100.00807178727983858483797450657620750
MOYENNE D'ÉQUIPE100.0080808679809088868679656668534580
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins81657182797370USA521900,000$


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
1Chris TerryBlackhawks (CHI)LW69353873320811642858219112.28%37143520.801420346721922462576142.27%5825427111.02112000644
2Stefan EliottBlackhawks (CHI)D77165167-6535127227256113986.25%113186824.26102131692950227309410.00%05840010.7212001412
3Andrei LoktionovBlackhawks (CHI)C8224386290036178283841738.48%20144717.6561016302240000265249.45%15374817000.8611000353
4Tyler PitlickBlackhawks (CHI)RW82262854096302381422425914110.74%47173721.18107174528512342806040.24%2513922010.62515105363
5Jimmy VeseyBlackhawks (CHI)LW8224305412335196150248911669.68%39162519.8287153523600052084448.36%1224025000.66412010355
6Mark JankowskiBlackhawks (CHI)C7193645-10280144213134541176.72%32140119.74420242624520251381053.21%17312123000.64310000012
7Jordan GreenwayBlackhawks (CHI)RW82111930134089102136611168.09%14101612.39011142000161052.46%612314000.5903000113
8Michael RasmussenBlackhawks (CHI)LW82161329-92410122831333610112.03%13101112.330110180000781060.42%482317000.5700101412
9Pierre-Edouard BellemareBlackhawks (CHI)RW82111829-228017014913441668.21%38140017.08369111980003511353.16%792115000.4125000141
10Nikolay GoldobinBlackhawks (CHI)LW82141125-260777814146679.93%1789510.923033390001872248.48%661618000.5600000222
11Evgeny MedvedevBlackhawks (CHI)D69417211097151601628441234.76%62146721.26235121820116189010.00%02943000.2900111121
12MacKenzie WeegarBlackhawks (CHI)D8051621993151741328239376.10%78167420.9323591920110207000.00%02059000.2500111101
13Matt IrwinBlackhawks (CHI)D7711920-11022024417610039361.00%97188624.501910222950002293000.00%02554000.2101102002
14Brendan GaunceBlackhawks (CHI)C7111819459159712713740798.03%1684711.930001120000140245.44%5811513000.4500021112
15Vinni LettieriBlackhawks (CHI)C826612-729552647824417.69%76247.61112317000060145.75%341159000.3800010201
16Drake BathersonBlackhawks (CHI)RW82268-220042397428442.70%115256.4100005000011023.53%17147000.3000000000
17Nikita TryamkinBlackhawks (CHI)D82178-5151352001104921232.04%78135316.50000249000067000.00%0341100.1200232001
18Seth HelgesonBlackhawks (CHI)D46066-828057544210160.00%4278016.97000015000155000.00%0622000.1500000000
19Luke JohnsonBlackhawks (CHI)C1312324051220415.00%51128.6700000000001039.19%7432000.5300000001
20Joe HickettsBlackhawks (CHI)D18022-116017227580.00%2529016.1200001000023000.00%0210000.1400000000
21Radim SimekBlackhawks (CHI)D3402221204828131170.00%2648114.1601102000032000.00%069000.0800000000
22Anthony RichardBlackhawks (CHI)C8011-320236230.00%0577.2100000000040044.00%2510000.3500000000
23Nathan WalkerBlackhawks (CHI)LW150110806313670.00%11087.2400002000116000.00%602000.1800000000
24Evgeny SvechnikovBlackhawks (CHI)RW1000000000000.00%033.400000000000000.00%000000.0000000000
25John GilmourBlackhawks (CHI)D9000040865020.00%814115.6800000000010000.00%012000.0000000000
26Alexandre FortinBlackhawks (CHI)LW1000-100001000.00%055.250000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1479217375592-592915523922424270393715638.03%8262419716.366411017433625825813422369331748.65%5521483491230.4917617914323336
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
1Antti RaantaBlackhawks (CHI)68312790.9152.754012411842164921420.6254068141244
2Charlie LindgrenBlackhawks (CHI)1810230.9372.079862134537221100.778181468411
Stats d'équipe Total ou en Moyenne864129120.9192.6249986221827011142520.6725882821655


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adin HillBlackhawks (CHI)G231996-05-11 04:47:09Yes202 Lbs6 ft6NoNoNo2Pro & Farm925,000$0$0$No925,000$
Alex NedeljkovicBlackhawks (CHI)G241996-01-07 03:29:30Yes189 Lbs6 ft0NoNoNo1Pro & Farm811,667$0$0$No
Alexandre FortinBlackhawks (CHI)LW231997-02-25 03:48:15Yes184 Lbs6 ft0NoNoNo3Pro & Farm706,666$0$0$No706,666$706,666$
Andrei LoktionovBlackhawks (CHI)C291990-05-30 11:11:13No188 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
Anthony RichardBlackhawks (CHI)C231996-12-20 05:54:15Yes163 Lbs5 ft10NoNoNo3Pro & Farm671,667$0$0$No671,667$671,667$
Antti RaantaBlackhawks (CHI)G301989-05-12 11:11:14Yes195 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Brendan GaunceBlackhawks (CHI)C261994-03-25 17:11:13Yes217 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Charlie LindgrenBlackhawks (CHI)G261993-12-18 06:39:26Yes185 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Chris TerryBlackhawks (CHI)LW311989-04-07 11:11:13Yes203 Lbs5 ft10NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
Drake BathersonBlackhawks (CHI)RW221998-04-27 05:56:24Yes187 Lbs6 ft3NoNoNo3Pro & Farm763,333$0$0$No763,333$763,333$
Evgeny MedvedevBlackhawks (CHI)D371982-08-27 16:16:57Yes187 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Evgeny SvechnikovBlackhawks (CHI)RW231996-10-31 03:35:20Yes212 Lbs6 ft3NoNoNo1Pro & Farm863,333$0$0$No
Jimmy VeseyBlackhawks (CHI)LW261993-05-26 03:37:16Yes199 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$No
Joe HickettsBlackhawks (CHI)D231996-05-04 06:37:59Yes180 Lbs5 ft8NoNoNo2Pro & Farm635,000$0$0$No635,000$
John GilmourBlackhawks (CHI)D261993-05-17 05:58:32Yes190 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Jordan GreenwayBlackhawks (CHI)RW231997-02-16 06:02:05Yes227 Lbs6 ft6NoNoNo3Pro & Farm916,666$0$0$No916,666$916,666$
Luke JohnsonBlackhawks (CHI)C251994-09-19 07:58:28Yes179 Lbs5 ft11NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
MacKenzie WeegarBlackhawks (CHI)D261994-01-07 06:33:09Yes200 Lbs6 ft0NoNoNo2Pro & Farm675,000$0$0$No675,000$
Mark JankowskiBlackhawks (CHI)C251994-09-13 03:41:29Yes212 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
Matt IrwinBlackhawks (CHI)D321987-11-29 23:11:13No207 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Michael RasmussenBlackhawks (CHI)LW211999-04-17 05:58:39Yes221 Lbs6 ft6NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$
Nathan WalkerBlackhawks (CHI)LW261994-02-07 04:43:18Yes186 Lbs5 ft9NoNoNo2Pro & Farm650,000$0$0$No650,000$
Nikita TryamkinBlackhawks (CHI)D251994-08-30 17:11:13Yes243 Lbs6 ft8NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Nikolay GoldobinBlackhawks (CHI)LW241995-10-07 23:11:13Yes196 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Pierre-Edouard BellemareBlackhawks (CHI)RW351985-03-06 11:11:13Yes198 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Radim SimekBlackhawks (CHI)D271992-09-20 04:08:57Yes200 Lbs5 ft11NoNoNo3Pro & Farm675,000$0$0$No675,000$675,000$
Seth HelgesonBlackhawks (CHI)D291990-10-08 17:11:13Yes223 Lbs6 ft5NoNoNo2Pro & Farm575,000$0$0$No575,000$
Stefan EliottBlackhawks (CHI)D291991-01-30 23:11:13Yes190 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Tyler PitlickBlackhawks (CHI)RW281991-11-01 23:11:13Yes200 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$
Vinni LettieriBlackhawks (CHI)C251995-02-06 06:42:45Yes191 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
Vitaly AbramovBlackhawks (CHI)RW211998-05-08 05:50:13Yes171 Lbs5 ft9NoNoNo3Pro & Farm730,833$0$0$No730,833$730,833$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3126.23198 Lbs6 ft12.35836,882$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryMark JankowskiTyler Pitlick35122
2Jimmy VeseyAndrei LoktionovPierre-Edouard Bellemare35122
3Nikolay GoldobinBrendan GaunceJordan Greenway25122
4Michael RasmussenVinni LettieriDrake Batherson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stefan EliottMatt Irwin35122
2Evgeny MedvedevNikita Tryamkin35122
3Seth HelgesonRadim Simek30122
4Stefan EliottMatt Irwin0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryMark JankowskiTyler Pitlick60122
2Jimmy VeseyAndrei LoktionovPierre-Edouard Bellemare40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stefan EliottMatt Irwin60122
2Evgeny MedvedevNikita Tryamkin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris TerryTyler Pitlick60122
2Mark JankowskiJimmy Vesey40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stefan EliottMatt Irwin60122
2Evgeny MedvedevNikita Tryamkin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Terry60122Stefan EliottMatt Irwin60122
2Tyler Pitlick40122Evgeny MedvedevNikita Tryamkin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris TerryTyler Pitlick60122
2Mark JankowskiJimmy Vesey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Stefan EliottMatt Irwin60122
2Evgeny MedvedevNikita Tryamkin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryMark JankowskiTyler PitlickStefan EliottMatt Irwin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryMark JankowskiTyler PitlickStefan EliottMatt Irwin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Greenway, Nikolay Goldobin, Michael RasmussenJordan Greenway, Nikolay GoldobinMichael Rasmussen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Seth Helgeson, Radim Simek, Evgeny MedvedevSeth HelgesonRadim Simek, Evgeny Medvedev
Tirs de Pénalité
Chris Terry, Tyler Pitlick, Mark Jankowski, Jimmy Vesey, Pierre-Edouard Bellemare
Gardien
#1 : Charlie Lindgren, #2 : Antti Raanta


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
LigueDomicileVisiteur
# 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
1Avalanche651000002018233000000127532100000811-3100.83320335301658170181958858769178418956104188461226.09%381073.68%11053211249.86%1069222148.13%564113749.60%1763100018117771427699
2Blues6310001116151310000119813210000077090.7501623390065817018182885876917841886715720048510.42%41782.93%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
3Bruins321000005502110000034-11100000021140.667581300658170189588587691784105461490200.00%70100.00%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
4Canadiens330000001147110000002112200000093661.000112031006581701810788587691784102351888700.00%9188.89%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
5Canucks4220000011101220000008352020000037-440.500112233006581701813688587691784138353411511436.36%17288.24%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
6Capitals2010100057-2100010004311010000014-320.5005914006581701868885876917847524653300.00%3166.67%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
7Devils2020000038-51010000024-21010000014-300.0003581065817018658858769178471131246500.00%6266.67%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
8Ducks513000101115-431200000711-42010001044040.400111425006581701814988587691784190455616522522.73%23482.61%11053211249.86%1069222148.13%564113749.60%1763100018117771427699
9Flames4100001215132200000117702100000186260.75015243900658170181308858769178411633268920525.00%13376.92%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
10Flyers20000020862100000103211000001054141.0008101800658170188088587691784683017623133.33%6183.33%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
11Islanders21000100651110000004221000010023-130.7506111700658170187888587691784752012577342.86%6183.33%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
12Kings412001001418-42110000057-220100100911-230.37514253900658170181388858769178413236321109333.33%16381.25%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
13Maple Leafs210001009451000010023-11100000071630.750917260065817018608858769178476211053200.00%5180.00%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
14Oilers413000001015-52020000037-42110000078-120.250101828006581701814088587691784122405511816212.50%22577.27%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
15Penguins2010001034-1100000102111010000013-220.500347006581701869885876917846416846200.00%4175.00%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
16Predators6410000117134321000009813200000185390.750172946106581701819688587691784188438420126519.23%37489.19%11053211249.86%1069222148.13%564113749.60%1763100018117771427699
17Rangers2010000135-21010000012-11000000123-110.2503690065817018608858769178459268445120.00%40100.00%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
18Red Wings21000001440110000003211000000112-130.7504610006581701880885876917848028135111100.00%4175.00%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
19Sabres31200000710-31010000013-22110000067-120.333711180065817018103885876917841033214796116.67%70100.00%11053211249.86%1069222148.13%564113749.60%1763100018117771427699
20Senateurs2010000159-41000000134-11010000025-310.250591400658170185888587691784882010475120.00%5260.00%11053211249.86%1069222148.13%564113749.60%1763100018117771427699
21Sharks4300001016610220000009272100001074381.000162844016581701814188587691784114385411817529.41%18383.33%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
22Stars624000001314-1312000006603120000078-140.333132033006581701818788587691784194619119237821.62%43783.72%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
Total82322901488225228-341171401153110105541151500335115123-8940.5732253756002265817018270388587691784270382693523923316419.34%3796682.59%51053211249.86%1069222148.13%564113749.60%1763100018117771427699
24Wild603001111320-73020001058-330100101812-440.333132336006581701818688587691784166611001803126.45%45784.44%01053211249.86%1069222148.13%564113749.60%1763100018117771427699
_Since Last GM Reset82322901488225228-341171401153110105541151500335115123-8940.5732253756002265817018270388587691784270382693523923316419.34%3796682.59%51053211249.86%1069222148.13%564113749.60%1763100018117771427699
_Vs Conference55232000255156157-12813100003280746271010002237683-7630.5731562594151265817018178088587691784173751579316762835619.79%3135582.43%31053211249.86%1069222148.13%564113749.60%1763100018117771427699
_Vs Division301410001237980-1157500021413741575001023843-5360.600791282071165817018946885876917849252885369611883217.02%2043582.84%21053211249.86%1069222148.13%564113749.60%1763100018117771427699

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8294SOL122537560027032703826935239222
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8232291488225228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117141153110105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4115150335115123
Derniers 10 Matchs
WLOTWOTL SOWSOL
710101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3316419.34%3796682.59%5
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
8858769178465817018
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
1053211249.86%1069222148.13%564113749.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1763100018117771427699


Derniers Match 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
1 - 2019-10-062Stars2Blackhawks1LSommaire du Match
3 - 2019-10-0813Blackhawks1Wild3LR5Sommaire du Match
5 - 2019-10-1028Ducks6Blackhawks3LSommaire du Match
7 - 2019-10-1237Blackhawks2Avalanche0WR5Sommaire du Match
11 - 2019-10-1658Blues4Blackhawks3LXXSommaire du Match
13 - 2019-10-1870Blackhawks4Stars1WSommaire du Match
15 - 2019-10-2079Avalanche4Blackhawks5WR5Sommaire du Match
17 - 2019-10-2289Blackhawks1Blues5LSommaire du Match
19 - 2019-10-2499Blackhawks2Predators3LXXSommaire du Match
21 - 2019-10-26109Predators3Blackhawks5WSommaire du Match
24 - 2019-10-29130Wild3Blackhawks1LR5Sommaire du Match
27 - 2019-11-01147Oilers4Blackhawks1LSommaire du Match
28 - 2019-11-02153Blackhawks4Predators1WSommaire du Match
31 - 2019-11-05164Blackhawks4Flames1WR2Sommaire du Match
33 - 2019-11-07175Blackhawks2Oilers6LSommaire du Match
35 - 2019-11-09183Blackhawks4Wild5LXR5Sommaire du Match
36 - 2019-11-10191Blues2Blackhawks3WSommaire du Match
39 - 2019-11-13207Predators3Blackhawks1LSommaire du Match
41 - 2019-11-15222Blackhawks2Predators1WSommaire du Match
43 - 2019-11-17228Blackhawks2Senateurs5LSommaire du Match
44 - 2019-11-18237Islanders2Blackhawks4WSommaire du Match
48 - 2019-11-22254Flames2Blackhawks3WXXR2Sommaire du Match
50 - 2019-11-24267Blackhawks7Maple Leafs1WSommaire du Match
52 - 2019-11-26277Senateurs4Blackhawks3LXXSommaire du Match
54 - 2019-11-28287Blackhawks1Devils4LSommaire du Match
56 - 2019-11-30298Blackhawks2Bruins1WSommaire du Match
58 - 2019-12-02307Penguins1Blackhawks2WXXSommaire du Match
61 - 2019-12-05319Blackhawks4Flames5LXXR2Sommaire du Match
63 - 2019-12-07331Flames5Blackhawks4LXXSommaire du Match
66 - 2019-12-10347Blackhawks5Kings6LXR2Sommaire du Match
67 - 2019-12-11354Blues2Blackhawks3WXXSommaire du Match
70 - 2019-12-14371Blackhawks4Avalanche2WR5Sommaire du Match
72 - 2019-12-16379Maple Leafs3Blackhawks2LXSommaire du Match
74 - 2019-12-18390Blackhawks3Blues1WR5Sommaire du Match
76 - 2019-12-20402Red Wings2Blackhawks3WSommaire du Match
78 - 2019-12-22414Blackhawks3Blues1WR5Sommaire du Match
79 - 2019-12-23421Blackhawks4Sharks3WXXR2Sommaire du Match
81 - 2019-12-25430Oilers3Blackhawks2LSommaire du Match
84 - 2019-12-28443Blackhawks4Kings5LR2Sommaire du Match
86 - 2019-12-30453Kings2Blackhawks3WSommaire du Match
89 - 2020-01-02471Stars2Blackhawks4WSommaire du Match
93 - 2020-01-06488Blackhawks1Stars4LSommaire du Match
95 - 2020-01-08499Stars2Blackhawks1LSommaire du Match
97 - 2020-01-10509Blackhawks2Sabres4LSommaire du Match
99 - 2020-01-12522Bruins3Blackhawks1LSommaire du Match
101 - 2020-01-14534Blackhawks4Sabres3WSommaire du Match
104 - 2020-01-17547Sabres3Blackhawks1LSommaire du Match
106 - 2020-01-19562Blackhawks2Stars3LSommaire du Match
108 - 2020-01-21569Predators2Blackhawks3WSommaire du Match
110 - 2020-01-23582Blackhawks1Penguins3LSommaire du Match
112 - 2020-01-25593Capitals3Blackhawks4WXSommaire du Match
114 - 2020-01-27607Blackhawks5Oilers2WSommaire du Match
116 - 2020-01-29616Avalanche2Blackhawks3WR5Sommaire du Match
121 - 2020-02-03637Sharks2Blackhawks6WR2Sommaire du Match
124 - 2020-02-06657Devils4Blackhawks2LSommaire du Match
127 - 2020-02-09670Blackhawks3Sharks1WR2Sommaire du Match
129 - 2020-02-11682Wild4Blackhawks2LSommaire du Match
130 - 2020-02-12690Blackhawks1Red Wings2LXXSommaire du Match
133 - 2020-02-15705Kings5Blackhawks2LR2Sommaire du Match
135 - 2020-02-17717Blackhawks2Ducks3LSommaire du Match
137 - 2020-02-19728Blackhawks2Avalanche9LR5Sommaire du Match
138 - 2020-02-20735Ducks2Blackhawks3WSommaire du Match
139 - 2020-02-21740Blackhawks1Canucks4LR2Sommaire du Match
142 - 2020-02-24755Blackhawks5Flyers4WXXSommaire du Match
144 - 2020-02-26765Canadiens1Blackhawks2WSommaire du Match
147 - 2020-02-29779Blackhawks1Capitals4LSommaire du Match
148 - 2020-03-01785Rangers2Blackhawks1LSommaire du Match
151 - 2020-03-04801Blackhawks3Canadiens1WSommaire du Match
152 - 2020-03-05808Blackhawks2Canucks3LR2Sommaire du Match
154 - 2020-03-07815Wild1Blackhawks2WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
156 - 2020-03-09828Blackhawks3Wild4LXXR5Sommaire du Match
158 - 2020-03-11839Bruins1Blackhawks2WSommaire du Match
161 - 2020-03-14852Blackhawks6Canadiens2WSommaire du Match
162 - 2020-03-15862Canucks2Blackhawks5WR2Sommaire du Match
166 - 2020-03-19881Ducks3Blackhawks1LSommaire du Match
171 - 2020-03-24903Canucks1Blackhawks3WR2Sommaire du Match
174 - 2020-03-27918Avalanche1Blackhawks4WR5Sommaire du Match
176 - 2020-03-29929Blackhawks2Islanders3LXSommaire du Match
177 - 2020-03-30930Blackhawks2Ducks1WXXR2Sommaire du Match
181 - 2020-04-03952Flyers2Blackhawks3WXXSommaire du Match
185 - 2020-04-07964Sharks0Blackhawks3WR2Sommaire du Match
188 - 2020-04-10980Blackhawks2Rangers3LXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance77,09137,889
Assistance PCT94.01%92.41%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2804 - 93.48% 94,802$3,886,898$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,372,041$ 2,594,334$ 1,569,334$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,654$ 2,472,025$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,391$ 0$




LigueDomicileVisiteur
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
1378302704368214210439151103325110104639151601043104106-2602143555690155876218266886794982183258087166821413166018.99%2965581.42%21043205250.83%1008206148.91%490110144.50%167996417327291345668
1482322901488225228-341171401153110105541151500335115123-8942253756002265817018270388587691784270382693523923316419.34%3796682.59%51053211249.86%1069222148.13%564113749.60%1763100018117771427699
Total Saison Régulière160625605714164394381803225044782202091180303101378219229-10154439730116923120168132365371175218251738167528316971603453364712419.17%67512182.07%72096416450.34%2077428248.51%1054223847.10%344319643544150727731368
Séries
1219118000007358158620000035221311560000038362227312119400202922269222224819527727220209513612032.79%771481.82%025752049.42%25654646.89%13629845.64%409235430176335167
Total Séries19118000007358158620000035221311560000038362227312119400202922269222224819527727220209513612032.79%771481.82%025752049.42%25654646.89%13629845.64%409235430176335167