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Red Wings
GP: 6 | W: 2 | L: 4
GF: 18 | GA: 25 | PP%: 18.52% | PK%: 77.27%
GM : Martin Dufour | Morale : 1 | Team Overall : 68

Game Center
Red Wings
2-4-0, 4pts
3
6 Canadiens
6-6-0, 12pts
Team Stats
L2StreakL1
2-1-0Home Record4-2-0
0-3-0Home Record2-4-0
2-4-0Last 10 Games4-4-2
3.00Goals Per Game3.67
4.17Goals Against Per Game3.25
18.52%Power Play Percentage24.00%
77.27%Penalty Kill Percentage84.78%
Canadiens
6-6-0, 12pts
6
2 Red Wings
2-4-0, 4pts
Team Stats
L1StreakL2
4-2-0Home Record2-1-0
2-4-0Home Record0-3-0
4-4-2Last 10 Games2-4-0
3.67Goals Per Game3.00
3.25Goals Against Per Game4.17
24.00%Power Play Percentage18.52%
84.78%Penalty Kill Percentage77.27%
Team Leaders
Goals
Logan O'Connor
3
Assists
Dominik Kubalik
4
Points
Dominik Kubalik
6
Plus/Minus
Urho Vaakanainen
4
Wins
Joel Hofer
2
Save Percentage
Joel Hofer
0.879

Team Stats
Goals For
18
3.00 GFG
Shots For
181
30.17 Avg
Power Play Percentage
18.5%
5 GF
Offensive Zone Start
37.5%
Goals Against
25
4.17 GAA
Shots Against
187
31.17 Avg
Penalty Kill Percentage
77.3%%
5 GA
Defensive Zone Start
37.8%
Team Info

General ManagerMartin Dufour
CoachKirk Muller
DivisionAtlantique
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,665
Season Tickets2,400


Roster Info

Pro Team36
Farm Team18
Contract Limit54 / 68
Prospects54


Team History

This Season2-4
History82-68-16 (0.494%)
Playoff Appearances0
Playoff Record (W-L)2 - 4 (0.333%)
Stanley Cup0


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
1Logan O'Connor (R)X100.0084638487729086845292828225888056487902911,500,000$
2Dominik Kubalik (R)X100.0076488576757583964790986325907544587803013,000,000$
3Oskar Lindblom (R)X100.0067359975747286834993927525878356487702912,000,000$
4Pius Suter (R)X100.0069419384708680887484847725886848237603012,500,000$
5Dylan Guenther (R)X100.007140848982878088508084712588614946762232894,167$
6Teddy Blueger (R)X100.0086616878717883778078708625838155457403121,500,000$
7A.J. Greer (R)X100.008881567484798974507167712573847257700291800,000$
8Wade Allison (R)X100.008559737577807875376770682582694354690282800,000$
9Cole Koepke (R)X100.008345927582828074406770712575614951692281842,500$
10Logan Brown (R)X100.005228947080747665556963672576835648650282600,000$
11John Hayden (R)X100.007355597087777466556161662567847250650313575,000$
12Elmer Soderblom (R)X100.006840826999847069506664642569614938652241878,333$
13Juuso Valimaki (R)X100.0063448674788585974091838025858156207602733,000,000$
14Cam York (R)X100.0073408189769079854081768125846849397602522,000,000$
15Urho Vaakanainen (R)X100.0062408475848582724074688225757967547302731,500,000$
16Jamie Drysdale (R)X100.006540888679898576407272742579715918720242700,000$
17Madison Bowey (R)X100.0084809166757678703071666951908435546903131,000,000$
18Justin BraunX100.006231985976739056255251887099991466903921,500,000$
Scratches
1Jeffrey Truchon-Viel (R)X100.006464506565706864446357672562585020600292575,000$
2Noah Ostlund (R)X100.006241737356626063446160672565505020600223886,667$
3Par Lindholm (R)X100.003613996870728345864443806198871419590343575,000$
4Danil Gushchin (R)X100.005443686661656367456364512566515020582241828,333$
5Milos Kelemen (R)X100.006445626374646363436059582565564820582261817,500$
6Connor Bunnaman (R)X100.005929996476496642686055672573725619570281575,000$
7Gabriel Fortier (R)X100.005232787168576355575348622568564520560263575,000$
8Fredrik Karlstrom (R)X100.005432806575596454525247602565574620551281750,000$
9Scott Reedy (R)X100.008076896177535356703838655750505520530273575,000$
10Kaedan Korczak (R)X100.006640827384847369407060712567655519680253800,000$
11Joe MorrowX100.0050209966746972713065727554918051206703311,000,000$
12Isaiah George (R)X100.005640827583846569406463682569525020650223838,833$
13Dylan Coghlan (R)X100.004025907176766556406260762571654820640282600,000$
14Sami Niku (R)X100.006232857471624855246358692579764120630292575,000$
15Lassi Thomson (R)X100.005940707173626265406356672568544620620253575,000$
TEAM AVERAGE100.00664482737674746948686571307770493367
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
1Joel Hofer (R)100.008484847787918689888550776657668202531,500,000$
2Justus Annunen (R)100.008185868888888086868550786557668202631,500,000$
Scratches
1Josef Korenar (R)100.00757671757496979190737277814922800282900,000$
TEAM AVERAGE100.0080828080839288898881577771545181
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller7275706771661CAN591800,000$


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
1Dominik KubalikRed Wings (DET)LW6246-21210941721011.76%412621.061233200000200033.33%952000.9500101001
2Logan O'ConnorRed Wings (DET)RW6336-41151910237613.04%312721.320223220000171051.28%3923000.9400001100
3Pius SuterRed Wings (DET)C6246-400717126216.67%411218.78213422000051059.18%14720001.0600000000
4Oskar LindblomRed Wings (DET)RW6235100515218129.52%311519.32101318000090037.50%1670000.8600000000
5Teddy BluegerRed Wings (DET)C614501351111142117.14%210317.20011118000000059.60%9942000.9700100001
6A.J. GreerRed Wings (DET)LW6224-2115163142414.29%310016.75000211000040055.56%902000.8000010000
7Urho VaakanainenRed Wings (DET)D6033420887340%812821.45000014000013000%016000.4700000001
8Wade AllisonRed Wings (DET)RW6303-51151172041015.00%17412.470000100000000%301000.8000010000
9Juuso ValimakiRed Wings (DET)D6112-10081275414.29%714824.82101125000122000%041000.2700000000
10John HaydenRed Wings (DET)C6022-32610672040%0447.4400000000000034.78%2320000.9000110000
11Cam YorkRed Wings (DET)D6022-12011147120%714724.64011025000021000%027000.2700000000
12Jamie DrysdaleRed Wings (DET)D6022400776520%912621.13000114000014000%013000.3200000000
13Jeffrey Truchon-VielRed Wings (DET)LW41011201630133.33%0256.460000000000010%000000.7700000000
14Elmer SoderblomRed Wings (DET)RW6011120346130%2457.5700000000050040.00%502000.4400000000
15Dylan GuentherRed Wings (DET)LW2101-1209494411.11%03919.500000500003000%110000.5100000000
16Madison BoweyRed Wings (DET)D6000-101010313400%68514.180002000000000%01400000011000
17Logan BrownRed Wings (DET)C6000-200262130%46410.7900000000030041.18%341200000000000
18Justin BraunRed Wings (DET)D6000-10004122010%68814.690000000000000%00400000000000
19Cole KoepkeRed Wings (DET)LW6000-100866050%26811.3900001000020075.00%40300000000000
Team Total or Average108183149-351045014815418155889.94%71177416.4357122020600011462153.21%3893342000.5500343103
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
1Joel HoferRed Wings (DET)42200.8793.6919500129940000033010
2Justus AnnunenRed Wings (DET)40200.8524.7016600138833000033000
Team Total or Average82400.8664.1436200251877300066010


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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
A.J. GreerRed Wings (DET)LW291996-12-14CANYes209 Lbs6 ft3NoNoTrade2025-09-01NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Cam YorkRed Wings (DET)D252001-01-05USAYes194 Lbs6 ft0NoNoN/ANoNo22024-09-08FalseFalsePro & Farm2,000,000$0$0$No2,000,000$-----------------No--------
Cole KoepkeRed Wings (DET)LW281998-05-17USAYes207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------
Connor BunnamanRed Wings (DET)C281998-04-16CANYes207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Danil GushchinRed Wings (DET)RW242002-06-02RUSYes181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------
Dominik KubalikRed Wings (DET)LW301995-08-21CZEYes192 Lbs6 ft2NoNoN/ANoNo12025-08-10FalseFalsePro & Farm3,000,000$0$0$No---------------------------
Dylan CoghlanRed Wings (DET)D281998-02-19CANYes205 Lbs6 ft2NoNoN/ANoNo22024-09-08FalseFalsePro & Farm600,000$0$0$No600,000$-----------------No--------
Dylan GuentherRed Wings (DET)LW232003-04-10CANYes191 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------
Elmer SoderblomRed Wings (DET)RW242001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm878,333$0$0$No---------------------------
Fredrik KarlstromRed Wings (DET)C281998-01-12SWEYes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Gabriel FortierRed Wings (DET)LW262000-02-06CANYes172 Lbs5 ft10NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Isaiah GeorgeRed Wings (DET)D222004-02-15CANYes196 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-06FalseFalsePro & Farm838,833$0$0$No838,833$838,833$-------838,833$838,833$-------NoNo-------
Jamie DrysdaleRed Wings (DET)D242002-04-08CANYes185 Lbs5 ft11NoNoN/ANoNo22024-09-08FalseFalsePro & Farm700,000$0$0$No700,000$-----------------No--------
Jeffrey Truchon-VielRed Wings (DET)LW291997-01-28CANYes205 Lbs6 ft2NoNoTrade2024-12-22NoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Joe MorrowRed Wings (DET)D331992-12-09CANNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Joel HoferRed Wings (DET)G252000-07-30CANYes179 Lbs6 ft5NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
John HaydenRed Wings (DET)C311995-02-14USAYes223 Lbs6 ft3NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Josef KorenarRed Wings (DET)G281998-01-31CZEYes185 Lbs6 ft1NoNoN/ANoNo22024-09-08FalseFalsePro & Farm900,000$0$0$No900,000$-----------------No--------
Justin BraunRed Wings (DET)D391987-02-10USANo208 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Justus AnnunenRed Wings (DET)G262000-03-11FINYes210 Lbs6 ft4NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Juuso ValimakiRed Wings (DET)D271998-10-06FINYes205 Lbs6 ft2NoNoN/ANoNo32025-08-10FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Kaedan KorczakRed Wings (DET)D252001-01-29CANYes203 Lbs6 ft3NoNoN/ANoNo32025-08-10FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Lassi ThomsonRed Wings (DET)D252000-09-24FINYes190 Lbs6 ft0NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Logan BrownRed Wings (DET)C281998-03-05USAYes218 Lbs6 ft6NoNoN/ANoNo22024-09-08FalseFalsePro & Farm600,000$0$0$No600,000$-----------------No--------
Logan O'ConnorRed Wings (DET)RW291996-08-14CANYes175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Madison BoweyRed Wings (DET)D311995-04-22CANYes198 Lbs6 ft2NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Milos KelemenRed Wings (DET)RW261999-07-06SLVYes218 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,500$0$0$No---------------------------
Noah OstlundRed Wings (DET)C222004-03-11SWEYes165 Lbs5 ft11NoNoAssign ManuallyNoNo32025-09-06FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Oskar LindblomRed Wings (DET)RW291996-08-15SWEYes191 Lbs6 ft1NoNoN/ANoNo12024-09-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------
Par LindholmRed Wings (DET)LW341991-10-05SWEYes183 Lbs5 ft11NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Pius SuterRed Wings (DET)C301996-05-24SUIYes179 Lbs5 ft11NoNoN/ANoNo12024-09-08FalseFalsePro & Farm2,500,000$0$0$No---------------------------
Sami NikuRed Wings (DET)D291996-10-10FINYes176 Lbs6 ft1NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Scott ReedyRed Wings (DET)C271999-04-04USAYes214 Lbs6 ft2NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Teddy BluegerRed Wings (DET)C311994-08-15LVAYes185 Lbs6 ft0NoNoN/ANoNo22024-09-08FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Urho VaakanainenRed Wings (DET)D271999-01-01FINYes205 Lbs6 ft2NoNoN/ANoNo32025-08-10FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Wade AllisonRed Wings (DET)RW281997-10-14CANYes205 Lbs6 ft2NoNoN/ANoNo22024-09-08FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3627.72197 Lbs6 ft22.031,112,120$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik KubalikPius SuterLogan O'Connor35122
2Dylan GuentherTeddy BluegerOskar Lindblom35122
3A.J. GreerJohn HaydenWade Allison25122
4Cole KoepkeLogan BrownElmer Soderblom5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCam York35122
2Urho VaakanainenJamie Drysdale35122
3Justin BraunMadison Bowey30122
4Juuso ValimakiCam York0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik KubalikPius SuterLogan O'Connor60122
2Dylan GuentherTeddy BluegerOskar Lindblom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Logan O'ConnorDominik Kubalik60122
2Oskar LindblomDylan Guenther40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Logan O'Connor60122Juuso ValimakiCam York60122
2Dominik Kubalik40122Urho VaakanainenJamie Drysdale40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan O'ConnorDominik Kubalik60122
2Oskar LindblomDylan Guenther40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Juuso ValimakiCam York60122
2Urho VaakanainenJamie Drysdale40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dominik KubalikPius SuterLogan O'ConnorJuuso ValimakiCam York
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dominik KubalikPius SuterLogan O'ConnorJuuso ValimakiCam York
Extra Forwards
Normal PowerPlayPenalty Kill
A.J. Greer, Wade Allison, Cole KoepkeA.J. Greer, Wade AllisonCole Koepke
Extra Defensemen
Normal PowerPlayPenalty Kill
Justin Braun, Madison Bowey, Urho VaakanainenJustin BraunMadison Bowey, Urho Vaakanainen
Penalty Shots
Logan O'Connor, Dominik Kubalik, Oskar Lindblom, Dylan Guenther, Pius Suter
Goalie
#1 : Joel Hofer, #2 : Justus Annunen
Custom OT Lines Forwards
Logan O'Connor, Dominik Kubalik, Oskar Lindblom, Dylan Guenther, Pius Suter, Teddy Blueger, A.J. Greer, Wade Allison, Cole Koepke, Elmer Soderblom
Custom OT Lines Defensemen
Juuso Valimaki, Cam York, Urho Vaakanainen, Jamie Drysdale, Justin Braun


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
OverallHome Visitor
# 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 RI
1Canadiens624000001825-7321000001011-130300000814-640.33318314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251R5
Total624000001825-7321000001011-130300000814-640.33318314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251
_Since Last GM Reset624000001825-7321000001011-130300000814-640.33318314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251
_Vs Conference624000001825-7321000001011-130300000814-640.33318314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251
_Vs Division624000001825-7321000001011-130300000814-640.33318314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L21831491811877110414800
All Games
GPWLOTWOTL SOWSOLGFGA
62400001825
Home Games
GPWLOTWOTL SOWSOLGFGA
32100001011
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000814
Last 10 Games
WLOTWOTL SOWSOL
240000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
27518.52%22577.27%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
71525536831
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7814653.42%7814753.06%519653.13%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
133781265510251


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
11Red Wings4Canadiens5LR5Box score
39Red Wings1Canadiens3LBox score
517Canadiens4Red Wings5WXR5Box score
725Canadiens1Red Wings3WBox score
933Red Wings3Canadiens6LR5Box score
1141Canadiens6Red Wings2LBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance4,9963,000
Attendance PCT83.27%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 2665 - 88.84% 134,919$404,757$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,003,633$ 4,003,633$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




Red Wings 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

Red Wings Goalies Stat Leaders (Regular Season)

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

Red Wings 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
1982353504233260263-3411915031211451261941162001112115137-2289260435695227191917264188487386935260187059020112354418.72%2074180.19%21057205151.54%970198848.79%611126648.26%1803107417607191392699
2082343303336272284-1241181601123143141241161702213129143-14892724707421078101879259287591777664262685383620132303816.52%2304580.43%2997198450.25%899189447.47%617128248.13%1775105917977271402699
Total Regular Season164696807569532547-15823731042442882672182323703325244280-361785329051437321491921781652331759179016459952271723142640244658217.63%4378680.32%42054403550.90%1869388248.15%1228254848.19%357921343557144727941398
Playoff
20624000001825-7321000001011-130300000814-6418314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251
Total Playoff624000001825-7321000001011-130300000814-6418314900683118171525531877110414827518.52%22577.27%07814653.42%7814753.06%519653.13%133781265510251

Red Wings 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

Red Wings Goalies Stat Leaders (Play-Off)

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