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Blackhawks
GP: 82 | W: 41 | L: 34 | OTL: 7 | P: 89
GF: 255 | GA: 252 | PP%: 19.20% | PK%: 81.82%
GM : Libre | Morale : 52 | Team Overall : 67
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Game Center
Blackhawks
41-34-7, 89pts
3
FINAL
1 Canadiens
55-24-3, 113pts
Team Stats
W6StreakW1
22-15-4Home Record31-10-0
19-19-3Home Record24-14-3
8-2-0Last 10 Games6-3-1
3.11Goals Per Game3.34
3.07Goals Against Per Game2.77
19.20%Power Play Percentage20.95%
81.82%Penalty Kill Percentage83.48%
Blackhawks
41-34-7, 89pts
4
FINAL
3 Stars
43-30-9, 95pts
Team Stats
W6StreakL1
22-15-4Home Record24-14-3
19-19-3Home Record19-16-6
8-2-0Last 10 Games4-5-1
3.11Goals Per Game3.39
3.07Goals Against Per Game3.18
19.20%Power Play Percentage16.48%
81.82%Penalty Kill Percentage81.18%
Team Leaders
Goals
Nikolay Goldobin
38
Assists
Tyler Pitlick
47
Points
Nikolay Goldobin
83
Plus/Minus
Andrej Sustr
16
Wins
Alex Nedeljkovic
23
Save Percentage
Dan Vladar
0.909

Team Stats
Goals For
255
3.11 GFG
Shots For
2616
31.90 Avg
Power Play Percentage
19.2%
48 GF
Offensive Zone Start
38.3%
Goals Against
252
3.07 GAA
Shots Against
2659
32.43 Avg
Penalty Kill Percentage
81.8%%
44 GA
Defensive Zone Start
38.6%
Team Info

General ManagerLibre
CoachJoel Quenneville
DivisionCentrale
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,907
Season Tickets1,800


Roster Info

Pro Team37
Farm Team21
Contract Limit58 / 60
Prospects40


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
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$
Scratches
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$
TEAM AVERAGE100.00684874707473726949686469366964564165
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Alex Nedeljkovic (R)100.008388847581999897968382788173828602832,000,000$
2Dan Vladar (R)100.00817979908286828585813082605283800261750,000$
Scratches
1Felix Sandstrom (R)100.00807574807879757479773078585120750272775,000$
TEAM AVERAGE100.0081817982808885858780477966596280
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Quenneville76999783999986CAN6525,000,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
Team Total or Average147425443168511114257020971969261485515519.72%8272426116.4648901382161995123261576401450.53%5359538566460.56423313746323638
Filter Tips
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
# Goalie Name Team NameGP 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
Team Total or Average88413470.9072.9949440024626571112122082821086


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
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$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3726.92195 Lbs6 ft11.95898,964$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinMichael RasmussenTyler Pitlick35122
2Klim KostinTommy NovakAlex Barré-Boulet35122
3Brendan GaunceJack StudnickaJordan Greenway25122
4Jake NeighboursReese JohnsonVitaly Abramov5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAndrej Sustr35122
2Matt IrwinTy Smith35122
3Tucker PoolmanDan Renouf30122
4Caleb JonesAndrej Sustr0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinMichael RasmussenTyler Pitlick60122
2Klim KostinTommy NovakAlex Barré-Boulet40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyler PitlickNikolay Goldobin60122
2Michael RasmussenTommy Novak40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tyler Pitlick60122Caleb JonesAndrej Sustr60122
2Nikolay Goldobin40122Matt IrwinTy Smith40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tyler PitlickNikolay Goldobin60122
2Michael RasmussenTommy Novak40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAndrej Sustr60122
2Matt IrwinTy Smith40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinMichael RasmussenTyler PitlickCaleb JonesAndrej Sustr
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinMichael RasmussenTyler PitlickCaleb JonesAndrej Sustr
Extra Forwards
Normal PowerPlayPenalty Kill
Jack Studnicka, Reese Johnson, Vitaly AbramovJack Studnicka, Reese JohnsonVitaly Abramov
Extra Defensemen
Normal PowerPlayPenalty Kill
Tucker Poolman, Dan Renouf, Matt IrwinTucker PoolmanDan Renouf, Matt Irwin
Penalty Shots
Tyler Pitlick, Nikolay Goldobin, Michael Rasmussen, Tommy Novak, Klim Kostin
Goalie
#1 : Dan Vladar, #2 : Alex Nedeljkovic
Custom OT Lines Forwards
Tyler Pitlick, Nikolay Goldobin, Michael Rasmussen, Tommy Novak, Klim Kostin, Jack Studnicka, Jack Studnicka, Reese Johnson, Jordan Greenway, Vitaly Abramov, Brendan Gaunce
Custom OT Lines Defensemen
Caleb Jones, Andrej Sustr, Matt Irwin, Ty Smith, Tucker Poolman


Filter Tips
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
OverallHomeVisitor
# VS Team 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 For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8289W6255431686261626598291142209820
All Games
GPWLOTWOTL SOWSOLGFGA
8238342314255252
Home Games
GPWLOTWOTL SOWSOLGFGA
4121151202139126
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4117191112116126
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2504819.20%2424481.82%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
897887818357879956
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1047204551.20%1021206249.52%640123151.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1751102318057291394691


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
210Blackhawks4Kings2AWR2BoxScore
318Blackhawks3Predators2AWBoxScore
526Avalanche5Blackhawks4BLXR5BoxScore
743Avalanche2Blackhawks3BWBoxScore
1057Wild2Blackhawks3BWR5BoxScore
1475Blackhawks1Stars3ALBoxScore
1682Predators2Blackhawks7BWBoxScore
19100Blackhawks2Blues5ALR5BoxScore
20108Wild3Blackhawks4BWR5BoxScore
23118Blackhawks1Wild3ALBoxScore
25129Canucks5Blackhawks3BLR2BoxScore
26142Blackhawks1Red Wings5ALBoxScore
29152Blues2Blackhawks4BWR5BoxScore
32171Maple Leafs8Blackhawks2BLBoxScore
34181Blackhawks2Predators5ALBoxScore
37197Islanders4Blackhawks3BLBoxScore
40209Blackhawks2Blues3ALR5BoxScore
42219Blackhawks2Ducks4ALR2BoxScore
43226Rangers4Blackhawks2BLBoxScore
46244Flames2Blackhawks3BWXR2BoxScore
50260Blackhawks6Flames4AWBoxScore
51271Bruins1Blackhawks3BWBoxScore
54287Blackhawks3Rangers2AWBoxScore
55293Penguins4Blackhawks3BLBoxScore
58308Blackhawks3Maple Leafs2AWBoxScore
59316Bruins5Blackhawks3BLBoxScore
62328Blackhawks3Senateurs1AWBoxScore
64339Stars2Blackhawks3BWBoxScore
66351Blackhawks3Wild5ALR5BoxScore
68362Blackhawks3Kings2AWXXR2BoxScore
69370Wild2Blackhawks3BWBoxScore
73386Ducks4Blackhawks2BLR2BoxScore
75398Blackhawks2Devils1AWBoxScore
78405Blackhawks4Islanders5ALBoxScore
81418Blues1Blackhawks2BWR5BoxScore
84438Maple Leafs6Blackhawks4BLBoxScore
87450Blackhawks3Blues4ALXR5BoxScore
90463Senateurs2Blackhawks4BWBoxScore
92472Blackhawks4Penguins1AWBoxScore
94485Red Wings1Blackhawks3BWBoxScore
98505Blackhawks4Sharks2AWR2BoxScore
99512Stars3Blackhawks1BLBoxScore
102527Blackhawks4Bruins2AWBoxScore
103535Ducks4Blackhawks3BLXXR2BoxScore
108556Penguins1Blackhawks4BWBoxScore
112575Blackhawks2Predators7ALBoxScore
113580Canadiens3Blackhawks2BLXBoxScore
118603Capitals2Blackhawks8BWBoxScore
120614Blackhawks2Senateurs4ALBoxScore
121624Blackhawks3Rangers1AWBoxScore
123632Predators4Blackhawks3BLBoxScore
126649Oilers1Blackhawks6BWBoxScore
129663Blackhawks5Canucks2AWR2BoxScore
131675Capitals4Blackhawks2BLBoxScore
133683Blackhawks2Red Wings3ALXXBoxScore
136698Kings1Blackhawks5BWR2BoxScore
140716Blackhawks1Oilers2ALXXBoxScore
141722Kings1Blackhawks3BWR2BoxScore
145747Oilers2Blackhawks4BWBoxScore
147753Blackhawks2Capitals3ALBoxScore
149766Blackhawks1Islanders2ALBoxScore
150771Sabres5Blackhawks2BLBoxScore
153790Blackhawks3Sabres2AWBoxScore
154796Devils5Blackhawks4BLXXBoxScore
156807Blackhawks1Avalanche3ALR5BoxScore
158817Blackhawks3Sabres6ALBoxScore
159821Avalanche3Blackhawks2BLR5BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163842Avalanche4Blackhawks6BWBoxScore
166865Flyers5Blackhawks2BLBoxScore
167869Blackhawks1Canadiens3ALBoxScore
169880Blackhawks1Avalanche4ALR5BoxScore
170889Canucks5Blackhawks3BLBoxScore
172897Blackhawks4Kings5ALR2BoxScore
174913Devils1Blackhawks2BWBoxScore
175916Blackhawks5Flyers1AWBoxScore
179932Blackhawks3Stars5ALBoxScore
180938Blackhawks6Flyers5AWXBoxScore
183948Sharks3Blackhawks5BWR2BoxScore
187962Sharks2Blackhawks4BWBoxScore
188963Blackhawks4Flames1AWR2BoxScore
189965Blackhawks3Canadiens1AWBoxScore
190973Blackhawks4Stars3AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance79,53939,659
Attendance PCT97.00%96.73%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2907 - 96.91% 124,310$5,096,704$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
8,398,843$ 3,326,166$ 1,766,166$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 3,398,891$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 43,141$ 0$




Blackhawks Players Stat Leaders (Regular Season)

# Player Name 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 Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Blackhawks Career Team Stats

OverallHomeVisitor
Year 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 Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA