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Capitals
GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 259 | GA: 263 | PP%: 18.85% | PK%: 84.30%
GM : Pierre-Marc Brochu | Morale : 66 | Team Overall : 68
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Game Center
Flyers
38-36-8, 84pts
3
FINAL
1 Capitals
43-33-6, 92pts
Team Stats
L1StreakW1
19-20-2Home Record23-16-2
19-16-6Home Record20-17-4
5-4-1Last 10 Games7-2-1
2.93Goals Per Game3.16
3.16Goals Against Per Game3.21
15.00%Power Play Percentage18.85%
81.25%Penalty Kill Percentage84.30%
Blues
44-30-8, 96pts
2
FINAL
5 Capitals
43-33-6, 92pts
Team Stats
L1StreakW1
25-12-4Home Record23-16-2
19-18-4Home Record20-17-4
5-4-1Last 10 Games7-2-1
3.28Goals Per Game3.16
3.28Goals Against Per Game3.21
16.81%Power Play Percentage18.85%
77.66%Penalty Kill Percentage84.30%
Team Leaders
Goals
Dominik Simon
36
Assists
Brendan Leipsic
52
Points
Dominik Simon
77
Plus/Minus
Ross Colton
14
Wins
Joni Ortio
30
Save Percentage
Joni Ortio
0.908

Team Stats
Goals For
259
3.16 GFG
Shots For
2660
32.44 Avg
Power Play Percentage
18.9%
46 GF
Offensive Zone Start
38.7%
Goals Against
263
3.21 GAA
Shots Against
2606
31.78 Avg
Penalty Kill Percentage
84.3%%
38 GA
Defensive Zone Start
38.1%
Team Info

General ManagerPierre-Marc Brochu
CoachSpencer Carbery
DivisionMétropolitaine
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,407
Season Tickets1,800


Roster Info

Pro Team35
Farm Team18
Contract Limit53 / 60
Prospects32


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.
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Filip Chytil (R)X100.007250768487848686647979722584766481750241900,000$
2Dominik Simon (R)X100.0062269967727284856586807369827743807302912,000,000$
3Ross Colton (R)X100.008561698179838083867576722581615282730271850,000$
4Brendan Leipsic (R)X100.0062309069707079837189787566706649777202912,000,000$
5Warren Foegele (R)X100.007950757580838481557573762577766481720281900,000$
6Oliver Wahlstrom (R)X100.007260627687837374507476662573665476690233900,000$
7Rafael Harvey-Pinard (R)X100.006740808574876875406674712578585045682253825,000$
8Rudolfs Balcers (R)X100.007944887275687171227470672578766678670272800,000$
9Zack MacEwen (R)X100.008379647385828371556564672571715980670273700,000$
10Alexei Protas (R)X100.007245897294827673497064662571594963670232789,167$
11Michael Sgarbossa (R)X100.008368806976576963817265646287835874660312700,000$
12Axel Jonsson Fjällby (R)X100.007140877579817371406766692572594977660262750,000$
13Ilya Lyubushkin (R)X100.007650707681848374407264872572715977740301900,000$
14Tomas Kundratek (R)X100.0047339962766378985289904672999922707003431,000,000$
15Maxime Lajoie (R)X100.008382637172757961306967735277754883690262700,000$
16Philip Broberg (R)X100.006640887686827370406762732570594979692223863,333$
17Andreas Borgman (R)X100.006238886177807861306259815378734349670281600,000$
18Kyle Capobianco (R)X100.006140757283827167406063642567756524650261575,000$
Scratches
1Colin Blackwell (R)X100.007947856576747863457167715986676340660313700,000$
2Martin Kaut (R)X100.006540827582817370406464652570655519650243575,000$
3Jonah Gadjovich (R)X100.008181567285777069406463652568605319640251783,333$
4Andrew DesjardinsX100.00453199667456776383494884689999119630373575,000$
5Anton Blidh (R)X100.006738916576626862607369642560606220630291575,000$
6Alexander Holtz (R)X100.005640747382806367406163602568585019620222894,167$
7Joe Snively (R)X100.005540727056646360426154612561555019570282800,000$
8Beck Malenstyn (R)X100.006245706166616159405153565825535019542263762,500$
9Logan Stanley (R)X100.006555656796836567406262692566615226660251900,000$
10Cale Fleury (R)X100.006740757283836866406160662566655519650253600,000$
11Tyler Tucker (R)X100.006765627485836569406362672568525019652243808,333$
12Tyler Lewington (R)X100.007869996675696862305550684978722920640291750,000$
13Igor Ozhiganov (R)X100.005825856378636655305451696067662419610312575,000$
14Jordan Spence (R)X100.005340687255626267406654662564505020602233820,000$
TEAM AVERAGE100.00684879717875737048686569377368504966
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
1Niklas Svedberg (R)100.008070707374999999997779999556838403432,000,000$
2Joni Ortio (R)100.007877717575999999997776979347838403311,250,000$
Scratches
1Michael Dipietro (R)100.00796866777479818079797566706320740242575,000$
TEAM AVERAGE100.0079726975749293939278778786556281
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Spencer Carbery6060606055551CAN413750,000$


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 SimonCapitals (WAS)LW823641779001111322729314913.24%60172421.041012224121321372034243.20%1694625000.8929000493
2Filip ChytilCapitals (WAS)C70334275489451441962667916312.41%54146820.98716232617912331903348.30%19425535201.02164233106
3Ross ColtonCapitals (WAS)C82363773141629017520729210917112.33%40154518.8577143417500031155456.51%16355718000.9427756815
4Brendan LeipsicCapitals (WAS)LW771952718281093106249671447.63%31143718.67210122215800061032440.91%883533000.9914110632
5Warren FoegeleCapitals (WAS)RW75193049-368301731191716011411.11%35142819.059514371950002515250.57%873533100.6904420303
6Oliver WahlstromCapitals (WAS)RW82153348111174520311016641979.04%34143417.502101216175000001043.21%813820000.6701243213
7Tomas KundratekCapitals (WAS)D7843943-2555213516453712.44%81187724.0711415242250003235000%04643100.4602100023
8Alexei ProtasCapitals (WAS)C82181230-3011586109164387710.98%39109913.410001310000111139.15%8433011000.5500010110
9Rudolfs BalcersCapitals (WAS)RW82111829-131610928012035679.17%1985810.48000015000062215.38%523014000.6801011133
10Maxime LajoieCapitals (WAS)D827222922441201471238624358.14%108167520.4311251380000133100%01454000.350110410101
11Ilya LyubushkinCapitals (WAS)D7462329-592201641578132277.41%122173523.46448152090000179200%01355000.3302013121
12Axel Jonsson FjällbyCapitals (WAS)LW821513285954568106305414.15%126878.39000000000201241.07%56277000.8101010123
13Philip BrobergCapitals (WAS)D8212021-6155821407638411.32%87178221.7312341600002161000%01849000.2400100101
14Zack MacEwenCapitals (WAS)RW8211920-13119451456411537659.57%2489210.880001150001205040.82%492217000.4501324211
15Michael SgarbossaCapitals (WAS)C8271017-3251576678218328.54%166668.13000020000361056.79%28076000.5101120101
16Andreas BorgmanCapitals (WAS)D7041216-161610481005419237.41%76116316.63202443000036010%0936000.2701002010
17Rafael Harvey-PinardCapitals (WAS)LW258614-1080372370224411.43%1234213.7101113000005035.00%40193000.8201000121
18Colin BlackwellCapitals (WAS)LW58156-237573645020342.00%1670112.09000170000480041.18%511215000.1700001000
19Logan StanleyCapitals (WAS)D43044-1582054543110200%3867715.7600006000022000%0423000.1200103000
20Tyler TuckerCapitals (WAS)D27033-34630292510770%1741715.4700001000014000%0712000.1400132000
21Jonah GadjovichCapitals (WAS)LW72021202271428.57%0486.870000000001010%120000.8300000000
22Kyle CapobiancoCapitals (WAS)D22011-36012198260%1235216.0200000000017000%027000.0600000000
23Martin KautCapitals (WAS)RW71010005550320.00%0497.120000000000000%110000.4000000001
24Cale FleuryCapitals (WAS)D14000000181611630%1321515.390000200009000%02400000000000
Team Total or Average1467254432686-77114351520662121265684114519.56%9462428516.5546821282321965336271621382248.84%5375531520400.56642362938363838
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
1Joni OrtioCapitals (WAS)62302250.9082.873553401701838745220.867305824443
2Niklas SvedbergCapitals (WAS)26131110.8863.6814202087766315000.833122458103
Team Total or Average88433360.9013.104973602572604106022428282546


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexander HoltzCapitals (WAS)RW222002-01-23 05:01:05Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Alexei ProtasCapitals (WAS)C232001-01-06 05:29:17Yes225 Lbs6 ft6NoNoN/ANoNo2Pro & Farm789,167$0$0$No789,167$--------No--------
Andreas BorgmanCapitals (WAS)D281995-06-18 04:45:15Yes212 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Andrew DesjardinsCapitals (WAS)LW371986-07-27 17:11:13No196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Anton BlidhCapitals (WAS)LW291995-03-14 09:14:08Yes201 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Axel Jonsson FjällbyCapitals (WAS)LW261998-02-10 04:01:54Yes189 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Beck MalenstynCapitals (WAS)LW261998-02-04 13:45:18Yes201 Lbs6 ft3NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Brendan LeipsicCapitals (WAS)LW291994-05-19 17:11:13Yes182 Lbs5 ft10NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Cale FleuryCapitals (WAS)D251998-11-19 12:37:15Yes204 Lbs6 ft1NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Colin BlackwellCapitals (WAS)LW311993-03-28 04:26:00Yes190 Lbs5 ft9NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Dominik SimonCapitals (WAS)LW291994-08-08 07:29:33Yes190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Filip ChytilCapitals (WAS)C241999-09-05 13:13:19Yes204 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Igor OzhiganovCapitals (WAS)D311992-10-13 03:56:02Yes210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Ilya LyubushkinCapitals (WAS)D301994-04-06 08:31:32Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Joe SnivelyCapitals (WAS)LW281996-01-01 10:16:06Yes174 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Jonah GadjovichCapitals (WAS)LW251998-10-12 13:05:14Yes209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm783,333$0$0$No------------------
Joni OrtioCapitals (WAS)G331991-04-16 23:11:14Yes187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Jordan SpenceCapitals (WAS)D232001-02-24 14:18:49Yes163 Lbs5 ft10NoNoTrade2024-03-02NoNo3Pro & Farm820,000$0$0$No820,000$820,000$-------NoNo-------
Kyle CapobiancoCapitals (WAS)D261997-08-13 13:18:25Yes201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Logan StanleyCapitals (WAS)D251998-05-26 13:08:32Yes242 Lbs6 ft7NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Martin KautCapitals (WAS)RW241999-10-02 12:42:37Yes190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Maxime LajoieCapitals (WAS)D261997-11-05 07:38:27Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Michael DipietroCapitals (WAS)G241999-06-09 10:49:43Yes200 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Michael SgarbossaCapitals (WAS)C311992-07-25 05:11:13Yes185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Niklas SvedbergCapitals (WAS)G341989-09-04 11:11:14Yes179 Lbs6 ft0NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Oliver WahlstromCapitals (WAS)RW232000-06-13 12:45:28Yes204 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Philip BrobergCapitals (WAS)D222001-06-25 13:47:46Yes199 Lbs6 ft3NoNoN/ANoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Rafael Harvey-PinardCapitals (WAS)LW251999-01-06 03:38:30Yes181 Lbs5 ft9NoNoTrade2024-03-02NoNo3Pro & Farm825,000$0$0$No825,000$825,000$-------NoNo-------
Ross ColtonCapitals (WAS)C271996-09-11 13:16:11Yes194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------
Rudolfs BalcersCapitals (WAS)RW271997-04-08 04:53:30Yes175 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Tomas KundratekCapitals (WAS)D341989-12-26 11:11:13Yes207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Tyler LewingtonCapitals (WAS)D291994-12-05 12:50:41Yes201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Tyler TuckerCapitals (WAS)D242000-03-01 11:57:38Yes204 Lbs6 ft1NoNoN/ANoNo3Pro & Farm808,333$0$0$No808,333$808,333$-------NoNo-------
Warren FoegeleCapitals (WAS)RW281996-04-01 13:15:49Yes198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Zack MacEwenCapitals (WAS)RW271996-07-08 04:15:59Yes205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3527.29197 Lbs6 ft12.00877,024$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik SimonFilip ChytilWarren Foegele35122
2Brendan LeipsicRoss ColtonOliver Wahlstrom35122
3Rafael Harvey-PinardAlexei ProtasRudolfs Balcers25122
4Axel Jonsson FjällbyMichael SgarbossaZack MacEwen5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinTomas Kundratek35122
2Maxime LajoiePhilip Broberg35122
3Andreas BorgmanKyle Capobianco30122
4Ilya LyubushkinTomas Kundratek0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik SimonFilip ChytilWarren Foegele60122
2Brendan LeipsicRoss ColtonOliver Wahlstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Maxime LajoiePhilip Broberg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Filip ChytilRoss Colton60122
2Dominik SimonBrendan Leipsic40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Maxime LajoiePhilip Broberg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Filip Chytil60122Ilya LyubushkinTomas Kundratek60122
2Ross Colton40122Maxime LajoiePhilip Broberg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Filip ChytilRoss Colton60122
2Dominik SimonBrendan Leipsic40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinTomas Kundratek60122
2Maxime LajoiePhilip Broberg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dominik SimonFilip ChytilWarren FoegeleIlya LyubushkinTomas Kundratek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dominik SimonFilip ChytilWarren FoegeleIlya LyubushkinTomas Kundratek
Extra Forwards
Normal PowerPlayPenalty Kill
Rafael Harvey-Pinard, Rudolfs Balcers, Zack MacEwenRafael Harvey-Pinard, Rudolfs BalcersZack MacEwen
Extra Defensemen
Normal PowerPlayPenalty Kill
Andreas Borgman, Kyle Capobianco, Maxime LajoieAndreas BorgmanKyle Capobianco, Maxime Lajoie
Penalty Shots
Filip Chytil, Ross Colton, Dominik Simon, Brendan Leipsic, Warren Foegele
Goalie
#1 : Niklas Svedberg, #2 : Joni Ortio
Custom OT Lines Forwards
Filip Chytil, Ross Colton, Dominik Simon, Brendan Leipsic, Warren Foegele, Oliver Wahlstrom, Oliver Wahlstrom, Rafael Harvey-Pinard, Rudolfs Balcers, Zack MacEwen, Alexei Protas
Custom OT Lines Defensemen
Ilya Lyubushkin, Tomas Kundratek, Maxime Lajoie, Philip Broberg, Andreas Borgman


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
1Avalanche311000101394100000105412110000085340.66713243700559795139381989792065952615706350.00%5260.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
2Blackhawks32100000912-31100000032121100000610-440.6679142300559795139381989792065994442763133.33%6183.33%11024206549.59%985203648.38%620123650.16%1728100718467421405691
3Blues32100000862220000007341010000013-240.6678142200559795131108198979206510929865300.00%40100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
4Bruins3110001013121100000104312110000099040.6671319320055979513101819897920659438617815213.33%80100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
5Canadiens32100000972110000004132110000056-140.6679152400559795131048198979206510130437310330.00%90100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
6Canucks31200000610-41010000035-22110000035-220.3336111700559795131048198979206593431573300.00%50100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
7Devils512010011819-131100001131302010100056-150.5001831490055979513164819897920651524114616431516.13%24483.33%01024206549.59%985203648.38%620123650.16%1728100718467421405691
8Ducks4110002014140311000101112-11000001032160.7501420340055979513127819897920651374747100300.00%11372.73%01024206549.59%985203648.38%620123650.16%1728100718467421405691
9Flames31101000972201010005501100000042240.66791625005597951311081989792065933533587228.57%4175.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
10Flyers512011001113-22010100045-13110010078-150.50011182900559795131418198979206516755681362328.70%18383.33%01024206549.59%985203648.38%620123650.16%1728100718467421405691
11Islanders623001001825-7412001001017-72110000088050.4171829470055979513205819897920651916210614627622.22%33875.76%01024206549.59%985203648.38%620123650.16%1728100718467421405691
12Kings3100100112111100010006512100000166050.83312223400559795139981989792065924112727228.57%6183.33%01024206549.59%985203648.38%620123650.16%1728100718467421405691
13Maple Leafs3110000178-1110000003212010000146-230.5007916005597951310381989792065903023671000.00%9188.89%11024206549.59%985203648.38%620123650.16%1728100718467421405691
14Oilers3120000059-42110000045-11010000014-320.3335914005597951310581989792065104287753133.33%10100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
15Penguins51300010161513110001012752020000048-440.4001627431055979513155819897920651556212814116637.50%24483.33%01024206549.59%985203648.38%620123650.16%1728100718467421405691
16Predators3110100014113201010009901100000052340.6671425390055979513110819897920651054237703133.33%6183.33%01024206549.59%985203648.38%620123650.16%1728100718467421405691
17Rangers53200000151412110000055032100000109160.6001528430055979513146819897920651245320513828517.86%20195.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
18Red Wings31200000101001010000023-12110000087120.333101828005597951385819897920651003220698225.00%10190.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
19Sabres302010001012-22010100078-11010000034-120.33310192910559795139381989792065934541761000.00%13376.92%01024206549.59%985203648.38%620123650.16%1728100718467421405691
20Senateurs321000001213-11010000015-422000000118340.66712203200559795139081989792065973655768112.50%10280.00%11024206549.59%985203648.38%620123650.16%1728100718467421405691
21Sharks321000001073211000007611100000031240.667101626005597951310681989792065923315674250.00%50100.00%01024206549.59%985203648.38%620123650.16%1728100718467421405691
22Stars311010001192201010007701100000042240.667111627005597951310881989792065100476759111.11%3166.67%01024206549.59%985203648.38%620123650.16%1728100718467421405691
23Wild42100001910-1110000004313110000157-250.6259152400559795131088198979206512348161107114.29%8187.50%01024206549.59%985203648.38%620123650.16%1728100718467421405691
Total82313307254259263-441131606141136135141181701113123128-5920.56125943569420559795132660819897920652606947114920752444618.85%2423884.30%31024206549.59%985203648.38%620123650.16%1728100718467421405691
_Since Last GM Reset82313307254259263-441131606141136135141181701113123128-5920.56125943569420559795132660819897920652606947114920752444618.85%2423884.30%31024206549.59%985203648.38%620123650.16%1728100718467421405691
_Vs Conference44152003222139148-92169021216569-423911011017479-5440.5001392333722055979513138781989792065136448489611641863217.20%1782784.83%21024206549.59%985203648.38%620123650.16%1728100718467421405691
_Vs Division26812022117886-81446011114447-31246011003439-5250.481781332111055979513811819897920657892736537251252419.20%1192083.19%01024206549.59%985203648.38%620123650.16%1728100718467421405691

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8292W1259435694266026069471149207520
All Games
GPWLOTWOTL SOWSOLGFGA
8231337254259263
Home Games
GPWLOTWOTL SOWSOLGFGA
4113166141136135
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4118171113123128
Last 10 Games
WLOTWOTL SOWSOL
720001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2444618.85%2423884.30%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8198979206555979513
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1024206549.59%985203648.38%620123650.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1728100718467421405691


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
13Islanders3Capitals5BWBoxScore
212Capitals2Flyers3ALXBoxScore
531Devils7Capitals3BLBoxScore
744Penguins3Capitals8BWR5BoxScore
1369Capitals2Wild3ALXXBoxScore
1476Ducks5Capitals1BLBoxScore
1894Stars5Capitals4BLBoxScore
1997Capitals6Rangers5AWBoxScore
22115Capitals3Devils5ALBoxScore
24125Islanders5Capitals0BLBoxScore
26140Capitals1Rangers2ALBoxScore
28148Predators2Capitals3BWXBoxScore
30157Capitals3Bruins5ALBoxScore
32168Capitals5Islanders4AWBoxScore
33178Ducks2Capitals4BWBoxScore
36194Oilers2Capitals3BWBoxScore
39206Capitals6Bruins4AWBoxScore
43222Wild3Capitals4BWBoxScore
45236Capitals3Ducks2AWXXBoxScore
47245Maple Leafs2Capitals3BWBoxScore
49253Capitals2Devils1AWXBoxScore
51268Ducks5Capitals6BWXXBoxScore
53281Capitals5Predators2AWBoxScore
55291Devils2Capitals7BWBoxScore
56299Capitals3Avalanche4ALBoxScore
59315Devils4Capitals3BLXXBoxScore
61323Capitals5Avalanche1AWBoxScore
63336Capitals3Rangers2AWBoxScore
65345Predators7Capitals6BLBoxScore
67355Capitals1Blues3ALBoxScore
69367Capitals6Senateurs4AWBoxScore
71375Stars2Capitals3BWXBoxScore
74392Capitals4Flames2AWBoxScore
76401Canucks5Capitals3BLBoxScore
80416Sabres3Capitals4BWXBoxScore
84436Senateurs5Capitals1BLBoxScore
89459Bruins3Capitals4BWXXBoxScore
92474Capitals5Senateurs4AWBoxScore
93483Flames3Capitals2BLBoxScore
96495Capitals3Penguins5ALR5BoxScore
98504Capitals1Flyers3ALBoxScore
99511Flames2Capitals3BWXBoxScore
102528Capitals4Flyers2AWBoxScore
103534Avalanche4Capitals5BWXXBoxScore
108555Islanders4Capitals3BLXBoxScore
110563Capitals3Canucks1AWBoxScore
112578Capitals3Sharks1AWBoxScore
114583Islanders5Capitals2BLBoxScore
116595Capitals3Sabres4ALBoxScore
118603Capitals2Blackhawks8ALBoxScore
119610Red Wings3Capitals2BLR2BoxScore
122629Oilers3Capitals1BLBoxScore
124640Capitals1Wild3ALBoxScore
127655Canadiens1Capitals4BWR2BoxScore
129662Capitals3Islanders4ALBoxScore
131675Capitals4Blackhawks2AWBoxScore
133681Penguins2Capitals1BLR5BoxScore
136699Capitals2Canadiens4ALR2BoxScore
138705Sabres5Capitals3BLBoxScore
141724Capitals1Maple Leafs2ALBoxScore
142730Rangers2Capitals4BWBoxScore
145743Capitals0Canucks4ALBoxScore
147753Blackhawks2Capitals3BWBoxScore
150772Capitals3Maple Leafs4ALXXBoxScore
151779Rangers3Capitals1BLBoxScore
153792Capitals3Canadiens2AWR2BoxScore
155802Sharks4Capitals7BWBoxScore
158820Capitals4Stars2AWBoxScore
159826Capitals1Penguins3ALR5BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161833Flyers2Capitals3BWXBoxScore
164850Sharks2Capitals0BLBoxScore
166863Capitals4Red Wings5ALR2BoxScore
168872Capitals3Kings2AWBoxScore
169877Capitals2Wild1AWBoxScore
170884Kings5Capitals6BWXBoxScore
172896Capitals1Oilers4ALBoxScore
174908Blues1Capitals2BWBoxScore
175918Capitals3Kings4ALXXBoxScore
179935Penguins2Capitals3BWXXR5BoxScore
180941Capitals4Red Wings2AWR2BoxScore
184957Flyers3Capitals1BLBoxScore
190974Blues2Capitals5BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance59,06439,626
Attendance PCT72.03%96.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2407 - 80.24% 120,134$4,925,514$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,696,366$ 3,069,583$ 1,463,667$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,946,368$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 19,791$ 0$




Capitals 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

Capitals Goalies Stat Leaders (Regular Season)

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

Capitals 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

Capitals 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

Capitals Goalies Stat Leaders (Play-Off)

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