Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
RedWings
34-16-1, 69pts
4
FINAL
2 Canucks
36-14-1, 73pts
Team Stats
L1StreakW1
17-8-1Home Record19-6-0
17-8-0Away Record17-8-1
8-2-0Last 10 Games8-1-1
3.90Goals Per Game3.92
3.06Goals Against Per Game2.73
23.30%Power Play Percentage16.91%
81.65%Penalty Kill Percentage82.96%
RedWings
34-16-1, 69pts
3
FINAL
6 Oilers
34-13-3, 71pts
Team Stats
L1StreakW3
17-8-1Home Record19-5-2
17-8-0Away Record15-8-1
8-2-0Last 10 Games6-3-1
3.90Goals Per Game3.64
3.06Goals Against Per Game2.70
23.30%Power Play Percentage23.11%
81.65%Penalty Kill Percentage84.19%
MapleLeafs
22-23-4, 48pts
Day 113
RedWings
34-16-1, 69pts
Team Stats
W2StreakL1
12-12-2Home Record17-8-1
10-11-2Away Record17-8-0
4-5-1Last 10 Games8-2-0
2.78Goals Per Game3.90
3.10Goals Against Per Game3.06
16.67%Power Play Percentage23.30%
81.78%Penalty Kill Percentage81.65%
RedWings
34-16-1, 69pts
Day 114
Senators
33-16-1, 67pts
Team Stats
L1StreakW3
17-8-1Home Record15-11-0
17-8-0Away Record18-5-1
8-2-0Last 10 Games7-3-0
3.90Goals Per Game4.08
3.06Goals Against Per Game3.28
23.30%Power Play Percentage23.05%
81.65%Penalty Kill Percentage82.16%
GoldenKnights
17-31-4, 38pts
Day 119
RedWings
34-16-1, 69pts
Team Stats
L1StreakL1
9-15-1Home Record17-8-1
8-16-3Away Record17-8-0
4-6-0Last 10 Games8-2-0
3.21Goals Per Game3.90
4.15Goals Against Per Game3.06
17.09%Power Play Percentage23.30%
77.65%Penalty Kill Percentage81.65%
Team Leaders
Artemi PanarinGoals
Artemi Panarin
32
Victor HedmanAssists
Victor Hedman
45
Artemi PanarinPoints
Artemi Panarin
67
Brayden PointPlus/Minus
Brayden Point
14
Jake OettingerWins
Jake Oettinger
32
Calvin PickardSave Percentage
Calvin Pickard
0.911

Team Stats
Goals For
199
3.90 GFG
Shots For
1773
34.76 Avg
Power Play Percentage
23.3%
65 GF
Offensive Zone Start
43.6%
Goals Against
156
3.06 GAA
Shots Against
1435
28.14 Avg
Penalty Kill Percentage
81.7%
40 GA
Defensive Zone Start
37.8%

Injury / Suspension
Rasmus Andersson


Rasmus Andersson

is out for 2 weeks because of a Severed Left Wrist Tendons Injury.
Team Info
General ManagerVincent Tardif
CoachMike Sullivan
DivisionAtlantic
ConferenceEastern
CaptainVictor Hedman
Assistant #1Ryan McDonagh
Assistant #2Artemi Panarin
Uniforms
Arena Info
NamePresidential Palace
Capacity25,000
Attendance16,572
Season Tickets10,000
Roster Info
Pro Team22
Farm Team26
Contract Limit48 / 50
Prospects15
Salary Cap
Estimated Season Salary Cap81,492,910$
Available Salary Cap3,507,090$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue46,925,885$
Year To Date Expenses54,971,558$
Estimated Season Revenue27,072,626$
Estimated Season Expenses31,521,360$
Current Bank Account178,776,362$
Projected Bank Account173,338,087$
Team History
This Season34-16-1 (69PTS)
History935-542-120 (0.585%)
Playoff Appearances15
Playoff Record (W-L)125-89
Stanley Cup3


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
1Artemi Panarin (A)X100.0045428499498899994099997099908925668403311$
2David PastrnakX100.00605079995988999940999767658084506683028410,778,000$
3Brayden PointX100.0045418799468898918185976985808450768002829,000,000$
4Jason RobertsonX100.00625285916885998540917974947480656678025210,458,000$
5Carter VerhaegheX100.0059458192558495847981876940828345667702914,250,000$
6Kevin FialaX100.0059507591648599824084796668808350607602837,500,000$
7Mikael BacklundX100.0060508483648799658564658448949115667203512,378,000$
8Dylan GuentherX100.005744848953827477407183794066748561720212925,000$
9Jordan StaalX100.0082577976798098609361608140968810667003621,250,000$
10Yegor ChinakhovX100.005950888365807967406075758070757571690231925,000$
11Logan Stankoven (R)X100.006038878840796069406771784066738566680213925,000$
12Noel AcciariX100.0093498676627681509044568740908325636603331,100,000$
13Victor Hedman (C)X100.0060677186989196884099718671929220628203449,228,000$
14Travis SanheimX100.0067587881808998704074658740808550587702834,500,000$
15Ryan McDonagh (A)X100.0052538281718694644072558740949015647503523,750,000$
16Nick SeelerX100.008462687566789253405452944086823564740311850,000$
17Mario FerraroX100.0077518179668896574059558640768260667302613,750,000$
18Jake BeanX100.0049478177597792544050577740767760386702631,418,000$
Scratches
1Rasmus AnderssonX80.2853527884648996684072648580808550517402835,000,000$
Farm Team
1Michael McCarronX100.0088856175897691588852647540827945226702921,000,000$
2Jonatan BerggrenX100.004447878558735166406764704072737025640241825,000$
3Thomas BordeleauX100.005040778545806262885568709968748025640222925,000$
4Nick CousinsX100.008450717952759054405058676986813525630313850,000$
5Oliver WahlstromX100.0066508576657365534050556473727370256002411,120,000$
6Danil GushchinX100.003938818647655565407059504068678025600222925,000$
7Samu Tuomaala (R)X100.005052879247786851405348594066728526590213925,000$
8Rasmus KupariX100.0060518775667062468243506140727170255702411,112,000$
9Michal TeplyX100.007366877561817142404144558070767515560233850,000$
10Amadeus Lombardi (R)X100.004340869145796940704536654066738525560213925,000$
11Matthew StromeX100.0079678075726050414041417040746765265502511,119,800$
12Brayden TraceyX100.0059607875566454444044436140706775195402311,017,500$
13Zac JonesX100.0057408582457464584059587040727370196402421,250,000$
14Stanislav Svozil (R)X100.005553828757615643404641614066648526580213925,000$
15Lassi ThomsonX100.0074467375597166404038415040727270255702411,017,500$
16Emil AndraeX100.004139687743656048405640504068678022540222925,000$
17Dmitry Kuzmin (R)X100.004747839047555033402937574066618518540213925,000$
18Lucas ElvenesX100.0055568478506050537045445040746765205302521,000,000$
19Oskar OlaussonX100.005347787556605046403953554068648020530222925,000$
20Ryder Korczak (R)X100.005054829045766637403341564068728019530223925,000$
21Danila KlimovichX100.006154737567605032402737644066638520500211925,000$
22Zach Dean (R)X100.004844808952605037402845504066638520500213925,000$
23Ville Koivunen (R)X100.005045837554605028702037504066638520460212925,000$
TEAM AVERAGE99.52605180835976755951585969527576614165
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
1Jake Oettinger100.008696999980777879787695767760648102614,300,000$
2Calvin Pickard100.008958608980838180807696888630827903241,350,000$
Scratches
1Laurent Brossoit95.58975860929395949797947786913588803122,200,000$
Farm Team
1Jack Campbell100.008160639364616263606273887530296703221,475,000$
2Mads Sogaard100.00775962976464626364617672687027660243925,000$
3Arvid Soderblom100.00756969875050505050504074626520580251825,000$
TEAM AVERAGE99.1784676993727271727270768177483873
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Sullivan72878297868758USA5625,000,000$


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
1Artemi PanarinRedWingsLW5132356713100361062235813614.35%6113422.24101121432300002435035.04%11700011.1800000861
2Brayden PointRedWingsC5022446614120321291935114611.40%8109321.8751823552190002223249.83%149300001.2101000137
3David PastrnakRedWingsRW5126366211360157762105615512.38%4110421.6681321532300002144138.24%6800001.1200000732
4Victor HedmanRedWingsD50124557367258057120256510.00%67126225.26101727942190000160300.00%000000.9000005342
5Jason RobertsonRedWingsLW51243256830064691554410115.48%493418.3381018492020000276127.63%7600011.2000000632
6Carter VerhaegheRedWingsC511624409300668919355958.29%690717.805101558202000016250.43%117600000.8800000215
7Kevin FialaRedWingsRW491124355360754813132898.40%789718.3201111311930000122131.43%7000000.7800000322
8Ryan McDonaghRedWingsD517212842410714460194711.67%76109021.384610321430001185000.00%000000.5100011121
9Travis SanheimRedWingsD4971926-146097467928588.86%68124825.484913432040002151110.00%000000.4200000020
10Rasmus AnderssonRedWingsD47520251126055336429547.81%5294020.02491342201000136000.00%000000.5300000001
11Dylan GuentherRedWingsRW5199184100225410633718.49%754310.66000000003882027.03%3700000.6600000110
12Logan StankovenRedWingsLW515111648032535725498.77%44639.0900000000000025.81%3100000.6900000013
13Mario FerraroRedWingsD5131215522052313617308.33%3377215.15134979000033000.00%000000.3900000010
14Mikael BacklundRedWingsC51510153240361155628448.93%864612.670001200031671053.63%81300000.4600000011
15Nick SeelerRedWingsD514101488210942121101619.05%5877315.160000120001160000.00%000000.3600011100
16Jordan StaalRedWingsC51325-712025531981415.79%93867.590000000011510059.92%48400000.2600000001
17Yegor ChinakhovRedWingsRW50314-7000234310366.98%12565.12000110000001035.00%2000000.3100000010
18Noel AcciariRedWingsLW50011-6475441915090.00%114138.260000200021870051.35%3700000.0500000000
19Michael McCarronEagles (Det)RW4000-140200010.00%092.400000000000000.00%000000.0000000000
20Jake BeanRedWingsD4000200000010.00%061.590000000000000.00%000000.0000000000
Team Total or Average9141943565508252650104010661781528121710.89%4291488816.2959117176511215700020144634850.14%442200020.7401027333128
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
1Jake OettingerRedWings50321510.8913.0327774214012860200.0000465112
2Laurent BrossoitRedWings52100.8823.471900011930000.000053000
3Calvin PickardRedWings30000.9113.2692005560000.0000043000
Team Total or Average58341610.8913.0630604215614350200.00005151112


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 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Artemi PanarinRedWingsLW331991-10-30No175 Lbs6 ft0YesNoYes1Pro Only1$1$0$No
UFA
Link / NHL Link
Brayden PointRedWingsC281996-03-13No178 Lbs5 ft10NoNoYes2Pro Only9,000,000$9,000,000$3,305,085$No9,000,000$
UFA
Link / NHL Link
Calvin PickardRedWingsG321992-04-15No208 Lbs6 ft1YesNoNo4Pro & Farm1,350,000$1,350,000$495,763$No1,350,000$1,350,000$1,350,000$
UFA
Link / NHL Link
Carter VerhaegheRedWingsC291995-08-14No180 Lbs6 ft2NoNoYes1Pro & Farm4,250,000$4,250,000$1,560,734$No
UFA
Link / NHL Link
David PastrnakRedWingsRW281996-05-25No196 Lbs6 ft0NoNoYes4Pro Only10,778,000$10,778,000$3,958,023$No10,778,000$10,778,000$10,778,000$
UFA
Link / NHL Link
Dylan GuentherRedWingsRW212003-04-10No175 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$339,689$No925,000$
RFA
Link / NHL Link
Jake BeanRedWingsD261998-06-09No191 Lbs6 ft1NoNoNo3Pro & Farm1,418,000$1,418,000$520,734$No1,418,000$1,418,000$
UFA
Link / NHL Link
Jake OettingerRedWingsG261998-12-18No205 Lbs6 ft5NoNoYes1Pro & Farm4,300,000$4,300,000$1,579,096$No
RFA
Link / NHL Link
Jason RobertsonRedWingsLW251999-07-22No202 Lbs6 ft3NoNoYes2Pro Only10,458,000$10,458,000$3,840,508$No10,458,000$
RFA
Link / NHL Link
Jordan StaalRedWingsC361988-09-10No220 Lbs6 ft4YesNoNo2Pro & Farm1,250,000$1,250,000$459,040$No1,250,000$
UFA
Link / NHL Link
Kevin FialaRedWingsRW281996-07-22No205 Lbs6 ft0NoNoYes3Pro Only7,500,000$7,500,000$2,754,237$No7,500,000$7,500,000$
UFA
Link / NHL Link
Laurent BrossoitRedWingsG311993-03-23No200 Lbs6 ft3NoNoYes2Pro & Farm2,200,000$2,200,000$807,910$No2,200,000$
UFA
Link / NHL Link
Logan StankovenRedWingsLW212003-02-26Yes171 Lbs5 ft8NoNoNo3Pro & Farm925,000$925,000$339,689$No925,000$925,000$
RFA
NHL Link
Mario FerraroRedWingsD261998-09-17No209 Lbs6 ft0NoNoYes1Pro & Farm3,750,000$3,750,000$1,377,119$No
RFA
Link / NHL Link
Mikael BacklundRedWingsC351989-03-17No206 Lbs6 ft0NoNoYes1Pro & Farm2,378,000$2,378,000$873,277$No
UFA
Link / NHL Link
Nick SeelerRedWingsD311993-06-03No197 Lbs6 ft3NoNoNo1Pro & Farm850,000$850,000$312,147$No
UFA
Link / NHL Link
Noel AcciariRedWingsLW331991-12-01No209 Lbs5 ft10YesNoNo3Pro & Farm1,100,000$1,100,000$403,955$No1,100,000$1,100,000$
UFA
Link / NHL Link
Rasmus Andersson (Out of Payroll)RedWingsD281996-10-27No202 Lbs6 ft1NoNoYes3Pro Only5,000,000$5,000,000$1,836,158$No5,000,000$5,000,000$
UFA
Link / NHL Link
Ryan McDonaghRedWingsD351989-06-13No215 Lbs6 ft1NoNoYes2Pro & Farm3,750,000$3,750,000$1,377,119$No3,750,000$
UFA
Link / NHL Link
Travis SanheimRedWingsD281996-03-29No222 Lbs6 ft4NoNoYes3Pro & Farm4,500,000$4,500,000$1,652,542$No4,500,000$4,500,000$
UFA
Link / NHL Link
Victor HedmanRedWingsD341990-12-18No246 Lbs6 ft7NoNoYes4Pro Only9,228,000$9,228,000$3,388,814$No9,228,000$9,228,000$9,228,000$
UFA
Link / NHL Link
Yegor ChinakhovRedWingsRW232001-02-01No204 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$339,689$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.95201 Lbs6 ft12.233,901,591$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
85,835,001$69,382,000$41,799,000$21,356,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artemi PanarinBrayden PointDavid Pastrnak40023
2Jason RobertsonCarter VerhaegheKevin Fiala30023
3Logan StankovenMikael BacklundDylan Guenther20032
4Noel AcciariJordan StaalYegor Chinakhov10041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor HedmanTravis Sanheim40032
2Ryan McDonaghMario Ferraro30032
3Mario FerraroNick Seeler20032
4Victor HedmanTravis Sanheim10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artemi PanarinBrayden PointDavid Pastrnak60014
2Jason RobertsonCarter VerhaegheKevin Fiala40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor HedmanTravis Sanheim60014
2Ryan McDonaghMario Ferraro40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mikael BacklundNoel Acciari60050
2Jordan StaalDylan Guenther40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick SeelerRyan McDonagh60050
2Travis SanheimVictor Hedman40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mikael Backlund60050Nick SeelerRyan McDonagh60050
2Jordan Staal40050Travis SanheimVictor Hedman40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brayden PointDavid Pastrnak60122
2Mikael BacklundJason Robertson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor HedmanTravis Sanheim60122
2Ryan McDonaghMario Ferraro40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Artemi PanarinBrayden PointDavid PastrnakVictor HedmanTravis Sanheim
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Noel AcciariMikael BacklundDylan GuentherNick SeelerRyan McDonagh
Extra Forwards
Normal PowerPlayPenalty Kill
Brayden Point, David Pastrnak, Jason RobertsonCarter Verhaeghe, Kevin FialaJordan Staal
Extra Defensemen
Normal PowerPlayPenalty Kill
Mario Ferraro, Victor Hedman, Ryan McDonaghVictor HedmanNick Seeler, Victor Hedman
Penalty Shots
Artemi Panarin, David Pastrnak, Brayden Point, Dylan Guenther, Carter Verhaeghe
Goalie
#1 : Jake Oettinger, #2 : Calvin Pickard


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
1Avalanche11000000514110000005140000000000021.000591400122047171614019610235240.00%5180.00%01002193651.76%843167950.21%39482747.64%2922187116
2BlueJacket30300000718-1120200000513-81010000025-300.0007121900133093254127012337364913215.38%18477.78%01002193651.76%843167950.21%39482747.64%715072213518
3Blues11000000321110000003210000000000021.0003580020103418511030168279333.33%4175.00%01002193651.76%843167950.21%39482747.64%2417237125
4Bruins321000001165110000005052110000066040.66711203101263010431334006224265022313.64%10280.00%01002193651.76%843167950.21%39482747.64%715072223618
5Canadiens22000000853110000003211100000053241.000813210023306619173005317144614428.57%6266.67%01002193651.76%843167950.21%39482747.64%533842132412
6Canucks211000008801010000046-21100000042220.5008142200422088281644063202245800.00%10190.00%01002193651.76%843167950.21%39482747.64%503745132312
7Capitals330000001459110000006332200000082661.0001427410153609133283006723376511654.55%140100.00%01002193651.76%843167950.21%39482747.64%684672223818
8Coyotes1010000012-11010000012-10000000000000.000123000010391114140196621500.00%30100.00%01002193651.76%843167950.21%39482747.64%3122166126
9Devils22000000523110000003121100000021141.000510150021206613213203196481516.67%30100.00%01002193651.76%843167950.21%39482747.64%543841132313
10Ducks20101000880100010006511010000023-120.500813210023218322293026615103413323.08%50100.00%01002193651.76%843167950.21%39482747.64%523845142412
11Flames220000001046110000004221100000062441.0001018280025308832302604715335311218.18%7185.71%01002193651.76%843167950.21%39482747.64%604536122211
12Flyers1010000024-2000000000001010000024-200.0002460010103210418029720205120.00%5260.00%01002193651.76%843167950.21%39482747.64%2314238136
13Hurricanes32100000912-3110000005322110000049-540.667917260042308331223009623325516212.50%16662.50%01002193651.76%843167950.21%39482747.64%684572233919
14Islanders2110000011101110000005321010000067-120.5001121320025407725223004712194012650.00%7271.43%01002193651.76%843167950.21%39482747.64%513643142412
15Jets220000001275110000006241100000065141.000122234006150752227260621812409444.44%60100.00%01002193651.76%843167950.21%39482747.64%544041132412
16Kings21100000761110000006241010000014-320.5007121900502057241221059194326800.00%16381.25%01002193651.76%843167950.21%39482747.64%473348152311
17Lightning220000001266110000007521100000051441.000122335005430691923270531724489222.22%12375.00%01002193651.76%843167950.21%39482747.64%574037132514
18MapleLeafs321000008531010000012-12200000073440.6678152300134010440253908923307015533.33%14192.86%01002193651.76%843167950.21%39482747.64%684671223920
19Oilers211000001073110000007161010000036-320.5001019290033406112252405818263913430.77%12375.00%01002193651.76%843167950.21%39482747.64%493345142412
20Panthers320001001512321000100121021100000032150.83315264100348010327353929022286618633.33%9277.78%01002193651.76%843167950.21%39482747.64%745269203820
21Penguins11000000541000000000001100000054121.000510150031103514138015612236116.67%60100.00%01002193651.76%843167950.21%39482747.64%2416237126
22Predators1010000045-11010000045-10000000000000.0004610002200411217120461113143133.33%30100.00%01002193651.76%843167950.21%39482747.64%2417236126
23Rangers11000000413110000004130000000000021.000481200121031991301566296116.67%20100.00%01002193651.76%843167950.21%39482747.64%2821176137
24Sabres1010000013-21010000013-20000000000000.000123000100278127022911263133.33%30100.00%01002193651.76%843167950.21%39482747.64%2619206126
25Senators22000000835110000003121100000052341.000816240021507524242706313204315320.00%9188.89%01002193651.76%843167950.21%39482747.64%533741152512
26Stars201010008801010000023-11000100065120.500815230033116615311917721284612216.67%12558.33%01002193651.76%843167950.21%39482747.64%503648142211
27Wild11000000321000000000001100000032121.0003690012003816121003411421300.00%10100.00%01002193651.76%843167950.21%39482747.64%2518226115
Total5132160210019915643261680110010878302516801000917813690.67619936556402656270217735575636485143542453610672796523.30%2184081.65%01002193651.76%843167950.21%39482747.64%12989211140365628321
_Since Last GM Reset5132160210019915643261680110010878302516801000917813690.67619936556402656270217735575636485143542453610672796523.30%2184081.65%01002193651.76%843167950.21%39482747.64%12989211140365628321
_Vs Conference3222900100120962415104001006047131712500000604911450.703120224344023439470105632832939728552483216781804424.44%1342581.34%01002193651.76%843167950.21%39482747.64%796556724232401206
_Vs Division1612300100634023852001003223987100000311714250.781631151780115222605481681692092432125153349962425.00%631182.54%01002193651.76%843167950.21%39482747.64%404286355115201104

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5169L119936556417731435424536106702
All Games
GPWLOTWOTL SOWSOLGFGA
5132162100199156
Home Games
GPWLOTWOTL SOWSOLGFGA
26168110010878
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2516810009178
Last 10 Games
WLOTWOTL SOWSOL
721000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2796523.30%2184081.65%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
55756364856562702
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1002193651.76%843167950.21%39482747.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12989211140365628321


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
29BlueJacket6RedWings2BLBoxScore
531RedWings1Kings4ALBoxScore
632RedWings2Ducks3ALBoxScore
947MapleLeafs2RedWings1BLBoxScore
1058RedWings4Bruins3AWBoxScore
1274RedWings5Canadiens3AWBoxScore
1596RedWings5Lightning1AWBoxScore
17105RedWings3Panthers2AWBoxScore
19118Hurricanes3RedWings5BWBoxScore
23146Jets2RedWings6BWBoxScore
25162Stars3RedWings2BLBoxScore
27171RedWings2BlueJacket5ALBoxScore
29181Devils1RedWings3BWBoxScore
31197Oilers1RedWings7BWBoxScore
34216Canucks6RedWings4BLBoxScore
37237Rangers1RedWings4BWBoxScore
38244RedWings1Hurricanes8ALBoxScore
41265Coyotes2RedWings1BLBoxScore
43282RedWings5Senators2AWBoxScore
45296RedWings2Devils1AWBoxScore
49323Bruins0RedWings5BWBoxScore
50346RedWings4Capitals0AWBoxScore
51348Sabres3RedWings1BLBoxScore
53362BlueJacket7RedWings3BLBoxScore
55379Blues2RedWings3BWBoxScore
58396RedWings2Bruins3ALBoxScore
59408Avalanche1RedWings5BWBoxScore
61418Lightning5RedWings7BWBoxScore
63437RedWings3MapleLeafs2AWBoxScore
65449Islanders3RedWings5BWBoxScore
67461Kings2RedWings6BWBoxScore
68474RedWings4Capitals2AWBoxScore
71489Senators1RedWings3BWBoxScore
72501RedWings6Islanders7ALBoxScore
75526RedWings2Flyers4ALBoxScore
77532RedWings3Hurricanes1AWBoxScore
79550Panthers6RedWings5BLXBoxScore
80565RedWings4MapleLeafs1AWBoxScore
81573RedWings5Penguins4AWBoxScore
83587RedWings6Stars5AWXBoxScore
85606Panthers4RedWings7BWBoxScore
87618Flames2RedWings4BWBoxScore
89634Predators5RedWings4BLBoxScore
91647Capitals3RedWings6BWBoxScore
93659Canadiens2RedWings3BWBoxScore
96686RedWings6Jets5AWBoxScore
97692RedWings3Wild2AWBoxScore
100713Ducks5RedWings6BWXBoxScore
103736RedWings6Flames2AWBoxScore
105755RedWings4Canucks2AWBoxScore
107762RedWings3Oilers6ALBoxScore
113784MapleLeafs-RedWings-
114797RedWings-Senators-
119827GoldenKnights-RedWings-
121840RedWings-Sabres-
122854RedWings-Blackhawks-
124869RedWings-Predators-
126880Senators-RedWings-
128898RedWings-Flyers-
129905Flyers-RedWings-
132927Blackhawks-RedWings-
134942Wild-RedWings-
136958Sharks-RedWings-
138972Canadiens-RedWings-
142999RedWings-Coyotes-
1451021RedWings-Avalanche-
1471037Rangers-RedWings-
1491058RedWings-Lightning-
1501062RedWings-Panthers-
1521076RedWings-Canadiens-
1541085Lightning-RedWings-
1561102Islanders-RedWings-
1591129RedWings-Rangers-
1611146RedWings-Blues-
1631162RedWings-GoldenKnights-
1651173RedWings-Sharks-
1681189RedWings-Sabres-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691199Devils-RedWings-
1711217Bruins-RedWings-
1731234Penguins-RedWings-
1751249RedWings-Penguins-
1771261Sabres-RedWings-


Depth Chart
Left WingCenterRight Wing
Artemi Panarin
Artemi Panarin
AGE:33
SK:99
EN:88
DU:99
PH:99
PA:99
SC:99
DF:70
Jason Robertson
Jason Robertson
AGE:25
SK:91
EN:85
DU:99
PH:85
PA:91
SC:79
DF:74
Logan Stankoven (R)
Logan Stankoven
AGE:21
SK:88
EN:79
DU:60
PH:69
PA:67
SC:71
DF:78
Noel Acciari
Noel Acciari
AGE:33
SK:76
EN:76
DU:81
PH:50
PA:44
SC:56
DF:87
Danil Gushchin
Danil Gushchin
AGE:22
SK:86
EN:65
DU:55
PH:65
PA:70
SC:59
DF:50
Samu Tuomaala (R)
Samu Tuomaala
AGE:21
SK:92
EN:78
DU:68
PH:51
PA:53
SC:48
DF:59
Matthew Strome
Matthew Strome
AGE:25
SK:75
EN:60
DU:50
PH:41
PA:41
SC:41
DF:70
Brayden Tracey
Brayden Tracey
AGE:23
SK:75
EN:64
DU:54
PH:44
PA:44
SC:43
DF:61
Oskar Olausson
Oskar Olausson
AGE:22
SK:75
EN:60
DU:50
PH:46
PA:39
SC:53
DF:55
Ryder Korczak (R)
Ryder Korczak
AGE:22
SK:90
EN:76
DU:66
PH:37
PA:33
SC:41
DF:56
Zach Dean (R)
Zach Dean
AGE:21
SK:89
EN:60
DU:50
PH:37
PA:28
SC:45
DF:50
Brayden Point
Brayden Point
AGE:28
SK:99
EN:88
DU:98
PH:91
PA:85
SC:97
DF:69
Carter Verhaeghe
Carter Verhaeghe
AGE:29
SK:92
EN:84
DU:95
PH:84
PA:81
SC:87
DF:69
Mikael Backlund
Mikael Backlund
AGE:35
SK:83
EN:87
DU:99
PH:65
PA:64
SC:65
DF:84
Jordan Staal
Jordan Staal
AGE:36
SK:76
EN:80
DU:98
PH:60
PA:61
SC:60
DF:81
Thomas Bordeleau
Thomas Bordeleau
AGE:22
SK:85
EN:80
DU:62
PH:62
PA:55
SC:68
DF:70
Nick Cousins
Nick Cousins
AGE:31
SK:79
EN:75
DU:90
PH:54
PA:50
SC:58
DF:67
Rasmus Kupari
Rasmus Kupari
AGE:24
SK:75
EN:70
DU:62
PH:46
PA:43
SC:50
DF:61
Amadeus Lombardi (R)
Amadeus Lombardi
AGE:21
SK:91
EN:79
DU:69
PH:40
PA:45
SC:36
DF:65
Lucas Elvenes
Lucas Elvenes
AGE:25
SK:78
EN:60
DU:50
PH:53
PA:45
SC:44
DF:50
Ville Koivunen (R)
Ville Koivunen
AGE:21
SK:75
EN:60
DU:50
PH:28
PA:20
SC:37
DF:50
David Pastrnak
David Pastrnak
AGE:28
SK:99
EN:88
DU:99
PH:99
PA:99
SC:97
DF:67
Kevin Fiala
Kevin Fiala
AGE:28
SK:91
EN:85
DU:99
PH:82
PA:84
SC:79
DF:66
Dylan Guenther
Dylan Guenther
AGE:21
SK:89
EN:82
DU:74
PH:77
PA:71
SC:83
DF:79
Yegor Chinakhov
Yegor Chinakhov
AGE:23
SK:83
EN:80
DU:79
PH:67
PA:60
SC:75
DF:75
Michael McCarron
Michael McCarron
AGE:29
SK:75
EN:76
DU:91
PH:58
PA:52
SC:64
DF:75
Jonatan Berggren
Jonatan Berggren
AGE:24
SK:85
EN:73
DU:51
PH:66
PA:67
SC:64
DF:70
Oliver Wahlstrom
Oliver Wahlstrom
AGE:24
SK:76
EN:73
DU:65
PH:53
PA:50
SC:55
DF:64
Michal Teply
Michal Teply
AGE:23
SK:75
EN:81
DU:71
PH:42
PA:41
SC:44
DF:55
Danila Klimovich
Danila Klimovich
AGE:21
SK:75
EN:60
DU:50
PH:32
PA:27
SC:37
DF:64

Defense #1Defense #2Goalie
Victor Hedman
Victor Hedman
AGE:34
SK:86
EN:91
DU:96
PH:88
PA:99
SC:71
DF:86
Travis Sanheim
Travis Sanheim
AGE:28
SK:81
EN:89
DU:98
PH:70
PA:74
SC:65
DF:87
Ryan McDonagh
Ryan McDonagh
AGE:35
SK:81
EN:86
DU:94
PH:64
PA:72
SC:55
DF:87
Rasmus Andersson
Rasmus Andersson
AGE:28
SK:84
EN:89
DU:96
PH:68
PA:72
SC:64
DF:85
Nick Seeler
Nick Seeler
AGE:31
SK:75
EN:78
DU:92
PH:53
PA:54
SC:52
DF:94
Mario Ferraro
Mario Ferraro
AGE:26
SK:79
EN:88
DU:96
PH:57
PA:59
SC:55
DF:86
Jake Bean
Jake Bean
AGE:26
SK:77
EN:77
DU:92
PH:54
PA:50
SC:57
DF:77
Zac Jones
Zac Jones
AGE:24
SK:82
EN:74
DU:64
PH:58
PA:59
SC:58
DF:70
Stanislav Svozil (R)
Stanislav Svozil
AGE:21
SK:87
EN:61
DU:56
PH:43
PA:46
SC:41
DF:61
Lassi Thomson
Lassi Thomson
AGE:24
SK:75
EN:71
DU:66
PH:40
PA:38
SC:41
DF:50
Dmitry Kuzmin (R)
Dmitry Kuzmin
AGE:21
SK:90
EN:55
DU:50
PH:33
PA:29
SC:37
DF:57
Emil Andrae
Emil Andrae
AGE:22
SK:77
EN:65
DU:60
PH:48
PA:56
SC:40
DF:50
Laurent Brossoit
Laurent Brossoit
AGE:31
SK:97
AG:93
RB:95
SC:94
HS:97
RT:97
DF:94
Jake Oettinger
Jake Oettinger
AGE:26
SK:86
AG:80
RB:77
SC:78
HS:79
RT:78
DF:76
Calvin Pickard
Calvin Pickard
AGE:32
SK:89
AG:80
RB:83
SC:81
HS:80
RT:80
DF:76
Jack Campbell
Jack Campbell
AGE:32
SK:81
AG:64
RB:61
SC:62
HS:63
RT:60
DF:62
Mads Sogaard
Mads Sogaard
AGE:24
SK:77
AG:64
RB:64
SC:62
HS:63
RT:64
DF:61
Arvid Soderblom
Arvid Soderblom
AGE:25
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Aleksi HeimosalmiRedWings203535
Ayrton MartinoRedWings203545
Beau AkeyRedWings203774
Benjamin GaudreauRedWings203549
Cole HutsonRedWings203820
Denis SmirnovRedWings2031132
Evan NauseRedWings203554
Jack PeartRedWings203551
Jimmy SnuggerudRedWings203641
Marcus DavidssonRedWings203147
Sean BehrensRedWings203570
Simon RobertssonRedWings203542
Tomas VomackaRedWings2031192
Tristan BrozRedWings203561
Tristan LennoxRedWings203573

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



RedWings 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
1Claude Giroux7513145869002232156162281256812.23%1811693722.5588217305611561170401653.86%81.061061
2Steven Stamkos76439446185523645211051445333111.83%1961729422.64100159259758981779702251.50%140.991041
3Alex Tanguay1542259426685-26417211954196727549.40%9212514316.315395148294571278281847.34%10.54535
4Andrew Ladd82023335759016679515591130221710.51%1711511118.43501111614454484940937.86%20.781132
5Kristopher Letang6611534015541114688761060140210.91%8611585223.98911292207312911242290.00%00.7002

RedWings Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Henrik Lundqvist617369194430.9022.91362941072117581801718663080.806237
2Darcy Kuemper18410857160.9022.8710868207520531201020.67978
3Jake Oettinger123783490.8982.9771926735634760520.90030
4Jaroslav Halak128655180.9033.0174028537138410440.81833
5Igor Shesterkin76502320.9112.2945034517219410610.0000

RedWings 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
Regular Season
201782244103329243318-7541111903206119151-3241132200123124167-4357243405648110619681259708438858552714905164318562875218.12%3086479.22%51014208148.73%854184046.41%679149945.30%170396519568491495714
201882214902325201284-8341132500111103141-38418240221498143-4549201331532020528758251207789118082606869135919761913116.23%2866079.02%6962200647.96%832171248.60%632134347.06%1790104517007431472717
201982422303545269225444125100221113497374117130133413512879526943770601073979225790850843856261386592718612414016.60%1562583.97%4995201749.33%970205047.32%612123349.64%1809104516907331485757
202082343003411025623422411516032501271121541191400260129122778256396652100837584256908478268742559889112818322413514.52%2063782.04%41124210853.32%1086211251.42%625121851.31%1836107416747281474751
2021824522024543292428741221100323161126354123110213116811652983295729010401061111052810087295095123877221079197246010723.26%4697384.43%41768328453.84%1515295851.22%729134954.04%2094146718666021017523
202282492403033314240744124120102214111427412512020111731264710431455586935011410589280209029549272410700120219734329822.69%4979281.49%41726326952.80%1623304253.35%709134152.87%2039140918896171024514
202382413400142275237384120180012014211725412116000221331201383275499774150878995261408198569232346656118619614299622.38%50910180.16%41659308953.71%1510289352.19%680127253.46%2095146918485941008510
202482422501482322258644121120114216714126412113003401551173810832256688814012098952756091594987623917251253192744511225.17%50510080.20%51754316655.40%1541293152.58%698135051.70%2084145318616051030521
202582512402212339253864125130120016012238412611010121791314811233961795601012897111304701042962103225557601274198642511226.35%5279282.54%61768329953.59%1602304652.59%738138353.36%1992137019286041025517
202682353202148269270-141191300045144140441161902103125130-591269479748220898688274309158938982520762123720133978120.40%4849480.58%41654313952.69%1579301452.39%671130551.42%2027140019256151033514
202782333801541253272-1941161901230127138-1141171900311126134-882253459712430838580246208147918412640722108018914427116.06%4629779.00%21446284850.77%1494307148.65%614129947.27%200113961961606998496
203082333503146281267144119160201314513114411419011331361360872814927731307990105266108698509232528749102219224197718.38%4568182.24%51572308051.04%1454291249.93%648131749.20%1992136319486221035519
2031823725012116258221374117130016412211012412012011521361112510625844270015091857025810879869794238277292718034198119.33%3896882.52%41537306450.16%1479295150.12%643128849.92%2085145618866151041528
2032825317013713422341084126900231167126414127801140175108671263425869282301261198929940977994996231265497117124558518.68%3987680.90%61799334953.72%1463278952.46%726133154.55%2159154017955971016517
203382412405534295247484121100341215911742412014021221361306107295528823260113948028140953876944231967683316254719219.53%3748078.61%41690320552.73%1409275551.14%680131051.91%2162153918115941005522
2034824818043633182259341251002022156102544123802341162123391223185668841401121039328040962926888231165684717464208820.95%3486581.32%31725310755.52%1446281551.37%660128151.52%2140153018265881012516
203582442101151032624878412490002616611254412012011341601362411132657690203011911289288708791005968238966885516844259021.18%3475883.29%51716315454.41%1461283651.52%757138354.74%2137152118275881033530
20368247270231229123952412015013111511262541271201001140113271052915178081501038410126510895880863234675681916504269522.30%3476082.71%31522296951.26%1305280746.49%653133648.88%2098149518335851013519
20378252170352333223993412670331116411054412610002121681293912233259893023128111887275790288493750233870284116434418920.18%3507080.00%81532301250.86%1375275849.85%630133047.37%2109149818315931021521
203851321602100199156432616801100108783025168010009178136919936556402656270217735575636485143542453610672796523.30%2184081.65%01002193651.76%843167950.21%39482747.64%12989211140365628321
Total Regular Season1609804542044568776571249098038054052650243041402863241145280439927702026463628492498351191257129986156982362193191218711614534131459174581780516272481011463221019361007745159720.62%7636143381.23%86299655718252.40%268415297150.67%131782599550.69%396572696636203124532187411034
Playoff
20191798000004947285300000212109450000028262184981130000141716557015917819456218716137239410.26%20290.00%119241446.38%20944846.65%11326742.32%366218390149297151
20201257000002732-5725000001218-6532000001514110274572210108936101321101193981351522583339.09%22290.91%015429851.68%14730548.20%8016149.69%255145255105209108
2021221660000097702712930000057381910730000040328329717627300037302773902592172416911953285301252721.60%1232877.24%345484153.98%44288549.94%19137750.66%572407525165276140
202222166000009872261055000003940-11211100000593227329818228001036352279002402662417422102925991262822.22%1252877.60%043990848.35%42886749.37%19138949.10%574393550175297154
20231266000004044-46330000021210633000001923-4124074114000141583740111112104438117238334661116.67%741283.78%122145948.15%26251151.27%11421154.03%3162163309916582
202414860000053494743000002724374300000262511653981511002415124170141121132516161332325681116.18%1202083.33%026449952.91%27459745.90%13925255.16%35524236110918189
2025734000002530-5312000001214-2422000001316-36254368100986257079787827068107191291034.48%441272.73%115430051.33%16429355.97%7613755.47%174118182549246
2026734000002529-43120000012120422000001317-462546710001186237070699728193107197361027.78%401465.00%013426949.81%15831949.53%5811948.74%163112172528642
203125151000000898721385000005443111275000003544-9308916225100024313185602202663227572303485371452718.62%1442979.86%154699255.04%46891850.98%23443653.67%634437621200331164
2032844000002622442200000141314220000012938265076120610102640658810322264981823837.89%38684.21%017633652.38%14327152.77%7212557.60%203141191569548
203321165000007753249810000040192112840000037343327713821503029173066502192012405861811994071131715.04%921781.52%138779648.62%35271749.09%17435848.60%527374478150259132
20341266000003537-2633000001820-263300000171701235629700011131133308611412841112314725847817.02%621083.87%021940054.75%23646251.08%11720158.21%2801943119014973
2035624000002024-4312000001213-131200000811-3420375700038817704757692006610411734617.65%441272.73%114022861.40%12725150.60%6212250.82%150105145437436
20361810800000655510853000002620610550000039354206511718211022251657002091641805151621883891002020.00%771383.12%132965750.08%33063851.72%14328949.48%444311439136223110
2037116500000322846330000015132532000001715212325082018101403491251221020304101127268581118.97%55983.64%021744848.44%16435745.94%6215041.33%2641802617913367
Total Playoff21412589000007586797910560450000038032951109654400000378350282507581361211969826025421269461252159214322486893209329284964105719618.54%108021480.19%104026784551.32%3904783949.80%1826359450.81%528335995216166928731447

RedWings 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
1Claude Giroux108559014526506432438614.25%30247622.9314365094022810350.75%21.1700
2Steven Stamkos1115677133298320319544212.67%25243821.971817359201108446.65%01.0900
3Kristopher Letang11022851074891462052458.98%190283025.731328411380221200.00%00.7600
4Andrew Ladd101374885298618814929712.46%28196019.4298174110176238.36%10.8700
5Jamie Benn99235578161322041512429.50%25204420.65416207010164247.73%00.7600

RedWings Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Henrik Lundqvist108643860.9053.0967801023493690376340.0000
2Darcy Kuemper3322810.9102.67191083859470000.0000
3Andrei Vasilevskiy2212730.8783.53125980746060200.0000
4Igor Shesterkin1810610.8952.92104801514840110.0000
5Jake Oettinger116500.9082.5566001283040000.0000