Login

Blackhawks
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 4 | GA: 11 | PP%: 13.33% | PK%: 90.00%
GM : Darryl | Morale : 40 | Team Overall : 77
Next Games #46 vs Wild
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Red Wings
2-1-0, 6pts
3
FINAL
1 Blackhawks
0-3-0, 0pts
Team Stats
W2StreakL3
1-0-0Home Record0-1-0
1-1-0Away Record0-2-0
2-1-0Last 10 Games0-3-0
2.33Goals Per Game1.33
2.67Goals Against Per Game3.67
9.52%Power Play Percentage13.33%
76.92%Penalty Kill Percentage90.00%
Blackhawks
0-3-0, 0pts
2
FINAL
4 Blues
3-0-0, 8pts
Team Stats
L3StreakW3
0-1-0Home Record1-0-0
0-2-0Away Record2-0-0
0-3-0Last 10 Games3-0-0
1.33Goals Per Game4.00
3.67Goals Against Per Game2.67
13.33%Power Play Percentage21.74%
90.00%Penalty Kill Percentage85.71%
Blackhawks
0-3-0, 0pts
2022-11-30
Wild
3-0-0, 8pts
Team Stats
L3StreakW3
0-1-0Home Record1-0-0
0-2-0Away Record2-0-0
0-3-0Last 10 Games3-0-0
1.33Goals Per Game4.67
3.67Goals Against Per Game4.67
13.33%Power Play Percentage25.00%
90.00%Penalty Kill Percentage83.33%
Blue Jackets
0-3-0, 0pts
2022-12-02
Blackhawks
0-3-0, 0pts
Team Stats
L3StreakL3
0-2-0Home Record0-1-0
0-1-0Away Record0-2-0
0-3-0Last 10 Games0-3-0
2.00Goals Per Game1.33
3.00Goals Against Per Game1.33
17.39%Power Play Percentage13.33%
90.48%Penalty Kill Percentage90.00%
Blackhawks
0-3-0, 0pts
2022-12-04
Blue Jackets
0-3-0, 0pts
Team Stats
L3StreakL3
0-1-0Home Record0-2-0
0-2-0Away Record0-1-0
0-3-0Last 10 Games0-3-0
1.33Goals Per Game2.00
3.67Goals Against Per Game2.00
13.33%Power Play Percentage17.39%
90.00%Penalty Kill Percentage90.48%
Team Leaders
Goals
Mitch Marner
1
Assists
Mika Zibanejad
3
Points
Mika Zibanejad
3
Plus/Minus
Vladimir Tarasenko
-1
Wins
Philipp Grubauer
0
Save Percentage
Philipp Grubauer
0.903

Team Stats
Goals For
4
1.33 GFG
Shots For
84
28.00 Avg
Power Play Percentage
13.3%
2 GF
Offensive Zone Start
37.9%
Goals Against
11
3.67 GAA
Shots Against
90
30.00 Avg
Penalty Kill Percentage
90.0%%
2 GA
Defensive Zone Start
37.4%
Team Info

General ManagerDarryl
DivisionCentral Division
ConferenceWestern Conference
CaptainMika Zibanejad
Assistant #1Steven Stamkos
Assistant #2Rasmus Ristolainen


Arena Info

NameUnited Center
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team22
Farm Team30
Contract Limit52 / 250
Prospects25


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account79,840,614$
Projected Bank Account79,840,614$


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 #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
1Mika Zibanejad (C)93X99.0090459294729395959990947586787904084029311,328,600$
2Steven Stamkos (A)91X100.0084427689688990889583897083828004080032114,285,800$
3Mitch Marner16X99.007635839958918884659087708473630407902544,600,000$
4Nick Schmaltz8X99.005840849760858582748582798375730407802633,500,000$
5Jason Zucker61X99.008247858463899080687689748379690407703022,750,000$
6Charlie Coyle13X100.008547857785898880687784727579820407703012,000,000$
7Vladimir Tarasenko0X100.005950848380888482658085747879840407703024,900,000$
8Brandon McMillan88X100.007042838563848774867678717582670407403215,000,000$
9Andrew Mangiapane64X100.007540818660818175627478717575740407302643,550,000$
10Joonas Donskoi25X100.00594284846886797272777071747975040720303850,000$
11Nick Cousins12X100.007952868658828074837474697777670407202811,500,000$
12Filip Chlapik7X100.00924276807373726667767472717369040710251850,000$
13Rasmus Ristolainen (A)55X99.008450948497979980508270787176890408102743,250,000$
14Ivan Provorov9X99.008945778881959880568072787273790408002532,000,000$
15Brenden Dillon0X100.009460827399939670507463786680790407803123,000,000$
16Nick Leddy2X100.006045979078939673507868787480790407703115,000,000$
17Nikita Zaitsev22X100.00914277818390907850806674677983040770303500,000$
18Vince Dunn29X100.00605086807382817550796874697369040720251700,000$
Scratches
1Dakota Mermis44X100.00764282778480796850706573657775040720282500,000$
Farm Team
1Cam Atkinson89X100.005735879051848374647878687684720407303316,000,000$
2Kyle Palmieri21X99.007345888461848577647676687680660407303121,700,000$
3Craig Smith0X99.006745807678838073827374647082700407103222,288,999$
4Linden Vey57X100.00574084778083797081737165727976040710303550,000$
5Tom Kuhnhackl34X99.00814281797281747161757167737967040710303850,000$
6Loui Eriksson21X100.005335837670787773657272607190750407003611,650,000$
7Lars Eller0X100.007645797381787769766971666884720407003311,500,000$
8Austin Watson0X100.007755817282777066686869706779740406903021,850,000$
9Jordan Weal43X100.00614075835978756860726966747963040690303635,000$
10Wade Allison (R)11X100.00784582718276686353656674667064040680242700,000$
11Evgeny Svechnikov77X100.007945746780758362656664696473700406702531,250,000$
12Andrew Agozzino26X100.00604078855773716462686670678062040670312700,000$
13Christian Folin32X99.005940908781858875507864746780780407503113,750,000$
14Joe Morrow45X100.00654589779278787050736474657881040730291510,000$
15Joe Hicketts27X100.00794086856277797050706274657576040720261400,000$
16Logan Stanley (R)20X100.00926074679975836350726068577079040720243900,000$
17Nikolai Knyzhov (R)71X100.00835275709379797050736469637076040720242700,000$
18Urho Vaakanainen (R)58X100.00544585827478776550686172626877040700232900,000$
19Joonas Rask72X100.005642849251646467627266587482620406703211,350,000$
20Joel Kiviranta5X100.00744079786572756053636373657567040670263600,000$
21Brandon Duhaime51X100.00946553697575766058656370637372040670253900,000$
22Nick Merkley39X100.005842847170737360696361736373750406602531,000,000$
23Joel Kellman46X100.00664281714775745974646370637762040640283500,000$
24Sonny Milano22X100.00544284716574746050565965627575040630262900,000$
25Petter Granberg8X100.00805076739473726450666171617875040710291500,000$
26Jacob Bryson (R)78X100.00673583935681817250766568697372040710242900,000$
TEAM AVERAGE99.6877458485748787786679777475777604076
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
1Robin Lehner90100.00559192868989898989888879690408203022,500,000$
2Philipp Grubauer3198.00857376808483848484838279640407903032,500,000$
Scratches
1Ilya Samsonov35100.00807479848179808281798073600407702521,250,000$
Farm Team
1Michael Hutchinson3098.0080777784818082827981818270040780321625,000$
2Dan Vladar (R)80100.00857075887977788080777870580407602431,000,000$
3Matt O'Connor28100.0077606090767778787477777962040740302850,000$
4Spencer Martin40100.0083656584757475777474757658040720273700,000$
TEAM AVERAGE99.337379828385848485858383776404079
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Mika ZibanejadBlackhawksC3033-20011610460.00%35518.47022213000000055.22%6720001.0800000000
2Mitch MarnerBlackhawksRW3123-1606214357.14%25418.0710141200000000.00%340001.1100000000
3Steven StamkosBlackhawksC3112-3607911259.09%14816.3110129000010055.17%5802000.8200000000
4Jason ZuckerBlackhawksLW3011-300562120.00%16220.940110130000140033.33%323000.3200000000
5Ivan ProvorovBlackhawksD3011-360863430.00%37625.43011013000012000.00%022000.2600000000
6Vladimir TarasenkoBlackhawksLW3101-1403621350.00%14615.610000900000000.00%301000.4300000000
7Nick SchmaltzBlackhawksRW3101-2005312458.33%16220.96000290000140050.00%820000.3200000000
8Brandon McMillanBlackhawksC3000-100355230.00%14414.97000000000140039.39%3301000.00%00000000
9Andrew MangiapaneBlackhawksLW3000-120334330.00%1289.510000000000000.00%110000.00%00000000
10Nick LeddyBlackhawksD3000-200141100.00%56521.7800000000016000.00%003000.00%00000000
11Brenden DillonBlackhawksD3000-260310000.00%14314.5600000000013000.00%003000.00%00000000
12Charlie CoyleBlackhawksRW3000-120025050.00%13110.47000000000000100.00%100000.00%00000000
13Filip ChlapikBlackhawksLW3000-200312100.00%1175.790000000000000.00%000000.00%00000000
14Joonas DonskoiBlackhawksRW3000-200002010.00%1175.790000000000000.00%000000.00%00000000
15Rasmus RistolainenBlackhawksD3000-400482230.00%47525.29000113000012000.00%002000.00%00000000
16Nikita ZaitsevBlackhawksD3000-180826110.00%66120.390001800004000.00%004000.00%00000000
17Nick CousinsBlackhawksC3000-200473150.00%03210.77000000001140038.46%1310000.00%00000000
18Vince DunnBlackhawksD3000-200120010.00%13913.020000800001000.00%002000.00%00000000
Team Total or Average544812-3540075738430514.76%3486416.012461211000011220048.95%1901423000.2800000000
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
1Philipp GrubauerBlackhawks10100.9033.05590033114010.00%012000
2Ilya SamsonovBlackhawks10100.8893.00600032711000.00%010000
3Robin LehnerBlackhawks10100.8714.00600043114000.00%011000
Team Total or Average30300.8883.351790010893901033000


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 Force Waivers Contract 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 10Link
Andrew Mangiapane (1 Way Contract)BlackhawksLW264/4/1996No184 Lbs5 ft10NoNoNo4Pro & Farm3,550,000$3,550,000$0$0$No3,550,000$3,550,000$3,550,000$Link
Brandon McMillan (1 Way Contract)BlackhawksC323/22/1990No190 Lbs5 ft11NoNoNo1Pro & Farm5,000,000$5,000,000$0$0$NoLink
Brenden Dillon (1 Way Contract)BlackhawksD3111/13/1990No220 Lbs6 ft4NoNoNo2Pro & Farm3,000,000$3,000,000$0$0$No3,000,000$Link
Charlie CoyleBlackhawksRW303/2/1992No219 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$0$0$NoLink
Dakota MermisBlackhawksD281/5/1994No195 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Filip ChlapikBlackhawksLW256/3/1997No194 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink
Ilya SamsonovBlackhawksG252/22/1997No200 Lbs6 ft3NoNoNo2Pro & Farm1,250,000$1,250,000$0$0$No1,250,000$Link
Ivan ProvorovBlackhawksD251/13/1997No201 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$Link
Jason Zucker (1 Way Contract)BlackhawksLW301/16/1992No192 Lbs5 ft11NoNoNo2Pro & Farm2,750,000$2,750,000$0$0$No2,750,000$Link
Joonas DonskoiBlackhawksRW304/13/1992No190 Lbs6 ft0NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Link
Mika Zibanejad (1 Way Contract)BlackhawksC294/18/1993No200 Lbs6 ft2NoNoNo3Pro & Farm11,328,600$11,328,600$0$0$No11,328,600$11,328,600$Link
Mitch Marner (1 Way Contract)BlackhawksRW255/5/1997No172 Lbs6 ft0NoNoNo4Pro Only4,600,000$4,600,000$0$0$No4,600,000$4,600,000$4,600,000$Link
Nick CousinsBlackhawksC287/20/1993No192 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLink
Nick Leddy (1 Way Contract)BlackhawksD313/20/1991No205 Lbs6 ft0NoNoNo1Pro & Farm5,000,000$5,000,000$0$0$NoLink
Nick Schmaltz (1 Way Contract)BlackhawksRW262/23/1996No181 Lbs6 ft0NoNoNo3Pro & Farm3,500,000$3,500,000$0$0$No3,500,000$3,500,000$Link
Nikita ZaitsevBlackhawksD3010/29/1991No195 Lbs6 ft2NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$Link
Philipp GrubauerBlackhawksG3011/25/1991No188 Lbs6 ft1NoNoNo3Pro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$Link
Rasmus Ristolainen (1 Way Contract)BlackhawksD2710/27/1994No221 Lbs6 ft4YesNoNo4Pro Only3,250,000$3,250,000$0$0$No3,250,000$3,250,000$3,250,000$Link
Robin LehnerBlackhawksG307/24/1991No250 Lbs6 ft4YesNoNo2Pro Only2,500,000$2,500,000$0$0$No2,500,000$Link
Steven Stamkos (1 Way Contract)BlackhawksC322/7/1990No193 Lbs6 ft1NoNoNo1Pro & Farm14,285,800$14,285,800$0$0$NoLink
Vince DunnBlackhawksD2510/29/1996No203 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink
Vladimir Tarasenko (1 Way Contract)BlackhawksLW3012/13/1991No228 Lbs6 ft1NoNoNo2Pro & Farm4,900,000$4,900,000$0$0$No4,900,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.41201 Lbs6 ft12.233,468,836$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
76,314,400$46,978,600$32,078,600$11,400,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vladimir TarasenkoMika ZibanejadMitch Marner37023
2Jason ZuckerSteven StamkosNick Schmaltz35023
3Andrew MangiapaneBrandon McMillanCharlie Coyle20032
4Filip ChlapikNick CousinsJoonas Donskoi8041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovRasmus Ristolainen37041
2Nick LeddyNikita Zaitsev35041
3Vince DunnBrenden Dillon15041
4Vince DunnBrenden Dillon13050
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason ZuckerMika ZibanejadMitch Marner55005
2Vladimir TarasenkoSteven StamkosNick Schmaltz45005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovRasmus Ristolainen55014
2Vince DunnNikita Zaitsev45014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brandon McMillanNick Schmaltz50050
2Nick CousinsJason Zucker50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick LeddyBrenden Dillon55050
2Ivan ProvorovRasmus Ristolainen45050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mika Zibanejad50050Vince DunnBrenden Dillon55050
2Steven Stamkos50050Ivan ProvorovRasmus Ristolainen45050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadMitch Marner53014
2Steven StamkosNick Schmaltz47023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick LeddyRasmus Ristolainen50032
2Ivan ProvorovNikita Zaitsev50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Steven StamkosMika ZibanejadMitch MarnerIvan ProvorovRasmus Ristolainen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jason ZuckerMika ZibanejadNick SchmaltzIvan ProvorovRasmus Ristolainen
Extra Forwards
Normal PowerPlayPenalty Kill
Charlie Coyle, Brandon McMillan, Nick CousinsCharlie Coyle, Andrew MangiapaneCharlie Coyle
Extra Defensemen
Normal PowerPlayPenalty Kill
Brenden Dillon, Vince Dunn, Nick LeddyBrenden DillonNikita Zaitsev, Vince Dunn
Penalty Shots
Mika Zibanejad, Mitch Marner, Steven Stamkos, Nick Schmaltz, Jason Zucker
Goalie
#1 : Philipp Grubauer, #2 : Robin Lehner
Custom OT Lines Forwards
Mika Zibanejad, Mitch Marner, Steven Stamkos, Nick Schmaltz, Jason Zucker, Vladimir Tarasenko, Vladimir Tarasenko, Brandon McMillan, Charlie Coyle, Andrew Mangiapane, Nick Cousins
Custom OT Lines Defensemen
Rasmus Ristolainen, Ivan Provorov, Nikita Zaitsev, Nick Leddy, Brenden Dillon


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
1Avalanche1010000014-3000000000001010000014-300.00012300010024888031141817500.00%90100.00%0387252.78%337146.48%224746.81%1910239177
2Blues1010000024-2000000000001010000024-200.00024610020033101211032138347228.57%4175.00%0387252.78%337146.48%224746.81%2212219168
3Red Wings1010000013-21010000013-20000000000000.00012300001027810902771424300.00%7185.71%0387252.78%337146.48%224746.81%2111218178
Total30300000411-71010000013-22020000038-500.00048121003108426302809034407515213.33%20290.00%0387252.78%337146.48%224746.81%623566275024
_Since Last GM Reset30300000411-71010000013-22020000038-500.00048121003108426302809034407515213.33%20290.00%0387252.78%337146.48%224746.81%623566275024
_Vs Conference30300000411-71010000013-22020000038-500.00048121003108426302809034407515213.33%20290.00%0387252.78%337146.48%224746.81%623566275024
_Vs Division30300000411-71010000013-22020000038-500.00048121003108426302809034407515213.33%20290.00%0387252.78%337146.48%224746.81%623566275024

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
30L34812849034407510
All Games
GPWLOTWOTL SOWSOLGFGA
3030000411
Home Games
GPWLOTWOTL SOWSOLGFGA
101000013
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000038
Last 10 Games
WLOTWOTL SOWSOL
030000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15213.33%20290.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
26302800310
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
387252.78%337146.48%224746.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
623566275024


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
2 - 2022-11-2411Blackhawks1Avalanche4ALBoxScore
4 - 2022-11-2623Red Wings3Blackhawks1BLBoxScore
6 - 2022-11-2836Blackhawks2Blues4ALBoxScore
8 - 2022-11-3046Blackhawks-Wild-
10 - 2022-12-0258Blue Jackets-Blackhawks-
12 - 2022-12-0464Blackhawks-Blue Jackets-
14 - 2022-12-0678Blues-Blackhawks-
16 - 2022-12-0888Wild-Blackhawks-
18 - 2022-12-10101Blackhawks-Red Wings-
Trade Deadline --- Trades can’t be done after this day is simulated!
20 - 2022-12-12113Avalanche-Blackhawks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 87,714,400$ 87,714,400$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 16 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 79,840,614$ 79,840,614$



Depth Chart

Left WingCenterRight Wing
Jason ZuckerAGE:30PO:0OV:77
Vladimir TarasenkoAGE:30PO:0OV:77
Andrew MangiapaneAGE:26PO:0OV:73
Filip ChlapikAGE:25PO:0OV:71
Tom KuhnhacklAGE:30PO:0OV:71
Loui ErikssonAGE:36PO:0OV:70
Evgeny SvechnikovAGE:25PO:0OV:67
Andrew AgozzinoAGE:31PO:0OV:67
Joel KivirantaAGE:26PO:0OV:67
Brandon DuhaimeAGE:25PO:0OV:67
Sonny MilanoAGE:26PO:0OV:63
Mika ZibanejadAGE:29PO:0OV:84
Steven StamkosAGE:32PO:0OV:80
Brandon McMillanAGE:32PO:0OV:74
Nick CousinsAGE:28PO:0OV:72
Craig SmithAGE:32PO:0OV:71
Linden VeyAGE:30PO:0OV:71
Lars EllerAGE:33PO:0OV:70
Nick MerkleyAGE:25PO:0OV:66
Joel KellmanAGE:28PO:0OV:64
Mitch MarnerAGE:25PO:0OV:79
Nick SchmaltzAGE:26PO:0OV:78
Charlie CoyleAGE:30PO:0OV:77
Cam AtkinsonAGE:33PO:0OV:73
Kyle PalmieriAGE:31PO:0OV:73
Joonas DonskoiAGE:30PO:0OV:72
Austin WatsonAGE:30PO:0OV:69
Jordan WealAGE:30PO:0OV:69
Wade Allison (R)AGE:24PO:0OV:68
Joonas RaskAGE:32PO:0OV:67

Defense #1Defense #2Goalie
Rasmus RistolainenAGE:27PO:0OV:81
Ivan ProvorovAGE:25PO:0OV:80
Brenden DillonAGE:31PO:0OV:78
Nick LeddyAGE:31PO:0OV:77
Nikita ZaitsevAGE:30PO:0OV:77
Christian FolinAGE:31PO:0OV:75
Joe MorrowAGE:29PO:0OV:73
Dakota MermisAGE:28PO:0OV:72
Joe HickettsAGE:26PO:0OV:72
Vince DunnAGE:25PO:0OV:72
Logan Stanley (R)AGE:24PO:0OV:72
Nikolai Knyzhov (R)AGE:24PO:0OV:72
Petter GranbergAGE:29PO:0OV:71
Jacob Bryson (R)AGE:24PO:0OV:71
Urho Vaakanainen (R)AGE:23PO:0OV:70
Robin LehnerAGE:30PO:0OV:82
Philipp GrubauerAGE:30PO:0OV:79
Michael HutchinsonAGE:32PO:0OV:78
Ilya SamsonovAGE:25PO:0OV:77
Dan Vladar (R)AGE:24PO:0OV:76
Matt O'ConnorAGE:30PO:0OV:74
Spencer MartinAGE:27PO:0OV:72

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
0x RFA Tag (Mika Zibanejad Y25)Blackhawks
1x 2 TC PTS per Category x1 PlayerBlackhawks
23-MTL-6Blackhawks
44x TC PTSBlackhawks
Aarne TalvitleBlackhawks19102
Alex VlasicBlackhawks1953
Arttu RuotsalainenBlackhawks21124Link
Cole SchwindtBlackhawks2191Link
Connor McMichaelBlackhawks1929
Connor ZaryBlackhawks2029
Dennis HildebyBlackhawks2284Link
Graham KnottBlackhawks1584
Hunter HaightBlackhawks2261Link
Jimmy SnuggerudBlackhawks2217Link
John (J.J.) PeterkaBlackhawks2042
Jonas RondbjergBlackhawks21102Link
Jonathan LekkerimakiBlackhawks2211Link
Liam KirkBlackhawks2196Link
Lukas ReichelBlackhawks2021
MacKenzie EntwistleBlackhawks2194Link
Michael BuchingerBlackhawks22104Link
Noah WarrenBlackhawks2278Link
Quinton ByfieldBlackhawks202
Roni HirvonenBlackhawks2043
Victor SoderstromBlackhawks1915

Draft Picks

Year R1R2R3R4R5R6R7
23STL CHI MTL NYI CHI NYI TBL CHI PHI CHI CHI TOR VGK
24VGK CHI NYI QUE TBL MTL CHI CHI CHI CHI CHI MTL CAR CHI
25CHI CHI CHI STL CHI CHI CHI CHI
26CHI CHI CHI CHI CHI CHI CHI
27CHI CHI CHI CHI CHI CHI CHI




STHS News Database File Not Found. Please create one from the League News Management or the STHS.




Blackhawks Trade History

[11/29/2022 2:31:48 PM] - Team Name Change : Rockford IceHogs changed name to IceHogs
[11/29/2022 2:31:44 PM] - Team Name Change : Chicago Blackhawks changed name to Blackhawks



[12/4/2022 11:19:37 AM] Successfully loaded Blackhawks lines done with STHS Client - 3.3.5.5
[12/2/2022 10:25:44 AM] Successfully loaded Blackhawks lines done with Web Base Client and SQLite Database.
[12/2/2022 10:25:03 AM] Successfully loaded Blackhawks lines done with Web Base Client and SQLite Database.
[11/29/2022 9:33:00 AM] Successfully loaded Chicago Blackhawks lines done with Web Base Client and SQLite Database.
[11/26/2022 1:48:47 PM] Successfully loaded Chicago Blackhawks lines done with STHS Client - 3.3.4.4



No Injury or Suspension.


Blackhawks 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 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