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Game Center
Penguins
23-29-4, 50pts
4
FINAL
5 Senators
23-24-7, 53pts
Team Stats
L1StreakW1
15-11-1Home Record13-8-5
8-18-3Away Record10-16-2
3-5-2Last 10 Games6-4-0
3.14Goals Per Game3.04
3.70Goals Against Per Game3.59
20.08%Power Play Percentage22.77%
80.19%Penalty Kill Percentage78.70%
Canadiens
21-29-4, 46pts
0
FINAL
2 Senators
23-24-7, 53pts
Team Stats
L1StreakW1
8-15-2Home Record13-8-5
13-14-2Away Record10-16-2
5-4-1Last 10 Games6-4-0
3.35Goals Per Game3.04
3.93Goals Against Per Game3.59
24.30%Power Play Percentage22.77%
75.49%Penalty Kill Percentage78.70%
Senators
23-24-7, 53pts
Day 117
Canadiens
21-29-4, 46pts
Team Stats
W1StreakL1
13-8-5Home Record8-15-2
10-16-2Away Record13-14-2
6-4-0Last 10 Games5-4-1
3.04Goals Per Game3.35
3.59Goals Against Per Game3.93
22.77%Power Play Percentage24.30%
78.70%Penalty Kill Percentage75.49%
Sharks
17-27-9, 43pts
Day 120
Senators
23-24-7, 53pts
Team Stats
OTL1StreakW1
8-15-4Home Record13-8-5
9-12-5Away Record10-16-2
1-4-5Last 10 Games6-4-0
2.91Goals Per Game3.04
3.64Goals Against Per Game3.59
17.57%Power Play Percentage22.77%
81.57%Penalty Kill Percentage78.70%
Rangers
31-17-6, 68pts
Day 122
Senators
23-24-7, 53pts
Team Stats
L1StreakW1
16-10-0Home Record13-8-5
15-7-6Away Record10-16-2
7-2-1Last 10 Games6-4-0
3.09Goals Per Game3.04
2.76Goals Against Per Game3.59
19.55%Power Play Percentage22.77%
86.81%Penalty Kill Percentage78.70%
Team Leaders
Vincent TrocheckGoals
Vincent Trocheck
20
Quinn HughesAssists
Quinn Hughes
46
Quinn HughesPoints
Quinn Hughes
57
Morgan GeekiePlus/Minus
Morgan Geekie
14
Jake OettingerWins
Jake Oettinger
27
Jake OettingerSave Percentage
Jake Oettinger
0.893

Team Stats
Goals For
164
3.04 GFG
Shots For
1629
30.17 Avg
Power Play Percentage
22.8%
51 GF
Offensive Zone Start
39.2%
Goals Against
194
3.59 GAA
Shots Against
1749
32.39 Avg
Penalty Kill Percentage
78.7%
59 GA
Defensive Zone Start
42.3%
Injury / Suspension
No Injury or Suspension.
Team Info
General ManagerGuy Morin
CoachSpencer Carbery
DivisionAtlantic
ConferenceEastern
CaptainQuinn Hughes
Assistant #1
Assistant #2
Uniforms
Arena Info
NameGFS Center
Capacity25,000
Attendance15,777
Season Tickets10,000
Roster Info
Pro Team22
Farm Team27
Contract Limit49 / 50
Prospects25
Salary Cap
Estimated Season Salary Cap83,109,963$
Available Salary Cap6,890,037$
Special Salary Cap Value0$
Players In Salary Cap21
Finance
Year to Date Revenue45,345,500$
Year To Date Expenses54,462,705$
Estimated Season Revenue26,160,865$
Estimated Season Expenses30,147,264$
Current Bank Account139,132,149$
Projected Bank Account133,992,845$
Team History
This Season23-24-7 (53PTS)
History754-810-135 (0.444%)
Playoff Appearances6
Playoff Record (W-L)33-31
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
1Vincent TrocheckX99.0099497990539099759473769677868835407903215,250,000$
2Evgeni MalkinX100.005156788476848975818169697399920317403926,500,000$
3Josh NorrisX98.0096497485638581718961818673748065317402657,000,000$
4Patrick KaneX100.0046418793468492794083746080969010317303726,500,000$
5Brayden SchennX100.0095617585638499708772686969908725317303417,000,000$
6Oliver BjorkstrandX100.0062478587498097694066726965828145317003015,700,000$
7Oskar SundqvistX100.0067568076777789578157577240848140316603112,000,000$
8Colin BlackwellX100.0071428581487486568454588040868035316503232,900,000$
9Paul CotterX100.0099567476727797564046676480747665316502642,500,000$
10Tommy NovakX100.0043448982537780627854706990787855326502823,000,000$
11Trent FredericX100.0099717575787783567950616540767760236502723,000,000$
12Connor DewarX100.0099538479537476547850577040747465286302622,000,000$
13Quinn Hughes (C)X100.0044448199479289964099797840748365307802631$
14Ian ColeX100.0070617175828499544056528740948915287403623,500,000$
15Cam FowlerX100.0043538684708689724077667773908825317303426,000,000$
16Niko MikkolaX100.0082557275758495584057607340808250317102953,500,000$
17Dmitry KulikovX100.0078527976698291544051578065928720297103512,000,000$
18Drew HellesonX100.0081587376747781564053597640707475396902411,250,000$
Scratches
1Morgan GeekieX95.3773538485718396758266857340768060207402732,500,000$
2Jeff PetryX100.006753837571817353405353764098905206903814,000,000$
Farm Team
1Gage GoncalvesX100.0068458580557684594056616590707375396302431,000,000$
2Carl GrundstromX100.0099488177617181524049546365787555356202811,975,000$
3Vincent HinostrozaX100.006542858149776956405161666984814039620312950,000$
4Tanner LaczynskiX100.006247798166605062406460654078695539620282975,000$
5Tomas NosekX100.0073518775677183518751517040888030406203312,000,000$
6Nikita NesterenkoX100.009449887863725757404866624070717539620241750,000$
7Cameron HebigX100.005547808050766654704662704078775524610282900,000$
8Cole GuttmanX100.005045808248796958706057509074776539610261825,000$
9Sam Morton (R)X100.006146858856796951704953514074776533590263575,000$
10Braeden Bowman (R)X100.0075528683707767474047475540667285385802231,500,000$
11Joe HickettsX100.007639757541666144405236684080735039610291950,000$
12Nikita NovikovX100.006250757572726739403741704066698539610222925,000$
13Noel HoefenmayerX100.007153787565555047405144674074656539600262900,000$
14Matt KierstedX100.005544787552686344405632704076726038600272850,000$
15Cole ClaytonX100.006560787564676235403832654072707020590253900,000$
16Declan CarlileX100.005349717563595439403543704072667023580252950,000$
17Jake LucchiniX100.005348797751796951704855678082814537600302900,000$
18Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
19Noah Philp (R)X100.006351877566705350745150654076736036590273575,000$
20Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
21Liam FoudyX100.005449837657796951404953504072767015570253775,000$
22Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
23David SpacekX100.005146817556767144405137504066718520570222925,000$
TEAM AVERAGE99.81695180806276775756555868537978543165
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 Oettinger99.008699999983818282848094767960318302756,178,000$
2Pyotr Kochetkov100.009087959078767779757785747565367902623,400,000$
Scratches
Farm Team
1Matthew Murray100.00757279867268677071729976726032710271900,000$
2Colten Ellis100.00897176846868616766668772707034690251750,000$
3Carl Lindbom (R)100.00756468846162615860589966648530630222750,000$
4Magnus Chrona100.00825760925050505050505072617020580251632,500$
TEAM AVERAGE99.8383758089696866686867867370683171
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Spencer Carbery77919873795082CAN4441,500,000$


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
1Quinn HughesSenatorsD54114657-11601911512141879.09%82133224.6881725711770003226010.00%000000.8600000320
2Vincent TrocheckSenatorsRW53203252107401731361916117510.47%17106020.01712195020600041702156.49%87800010.9802000352
3Josh NorrisSenatorsC5420305011755153135218531359.17%20101018.72314175817100021975054.31%113800000.9901001531
4Evgeni MalkinSenatorsC53182341-1171515106103376717.48%1396818.27711182817400011234052.81%117600010.8502111521
5Brayden SchennSenatorsC53142438844101528914350989.79%595318.005510451781012672251.25%96000000.8012101131
6Cam FowlerSenatorsD557303721353889626677.29%70123722.503811581710000210000.00%000000.6001100012
7Patrick KaneSenatorsRW559253440017413038926.92%592616.8421214381960000372028.28%9900000.7313000112
8Tommy NovakSenatorsLW54131730-1540558114306911.40%673513.61461024130000032250.00%17400000.8202000013
9Morgan GeekieSenatorsLW4516925141803547116327413.79%584218.734592514300041651153.06%14700100.5913000130
10Oliver BjorkstrandSenatorsRW5411920-1360365912425828.87%575814.0553835170000000023.26%4300000.5300000113
11Ian ColeSenatorsD5431215-71352516050359128.57%87103119.10000040001181000.00%000000.2900221111
12Dmitry KulikovSenatorsD5431215-5775123373319179.09%6990316.74000000000182000.00%000000.3300000002
13Niko MikkolaSenatorsD544913-31035168283591411.43%5490916.84101219000059100.00%000000.2900001101
14Colin BlackwellSenatorsC545611-1114039735719478.77%1361711.440110500021432045.24%64100000.3600000011
15Oskar SundqvistSenatorsRW45369-1714021344615376.52%451411.4200034000081050.45%33500000.3500000011
16Jeff PetrySenatorsD34268-725531191091520.00%3950014.7300003000022100.00%000000.3200100200
17Drew HellesonSenatorsD20145-73154211158106.67%1428414.2300000000024000.00%000000.3500001011
18Connor DewarSenators (Ott)LW14123-11402611143127.14%216912.141122250000150050.00%1200000.3500000000
19Trent FredericSenatorsLW43213-16542064212916216.90%044110.2610114000000060.87%2300000.1400022000
20Paul CotterSenatorsRW40202-163956119229179.09%13939.8400001000010130.77%9100000.1000010001
21Braeden BowmanSenators (Ott)LW3000-400000200.00%03511.8300008000000020.00%500000.0000000000
Team Total or Average945165303468-8576310513271210165251111489.99%5111562816.545195146440179610119183923851.35%572200120.60316668242623
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 OettingerSenators47271720.8933.3127352215114070100.90911475442
2Pyotr KochetkovSenators163830.8803.7982400524320000.50061340000
3Colten EllisSenators (Ott)10100.8754.0060004320000.000011000
Team Total or Average64302650.8893.4336202220718710100.765176146442


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Brayden SchennSenatorsC341991-08-22No199 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$2,477,528$No
UFA
Link / NHL Link
Cam FowlerSenatorsD341991-12-05No210 Lbs6 ft2NoNoYes2Pro Only6,000,000$6,000,000$2,123,596$No6,000,000$
UFA
Link / NHL Link
Colin BlackwellSenatorsC321993-03-28No190 Lbs5 ft8NoNoYes3Pro & Farm2,900,000$2,900,000$1,026,404$No2,900,000$2,900,000$
UFA
Link / NHL Link
Connor DewarSenators (Ott)LW261999-06-26No192 Lbs5 ft10NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Link / NHL Link
Dmitry KulikovSenatorsD351990-10-29No212 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$2,000,000$707,865$No
UFA
Link / NHL Link
Drew HellesonSenatorsD242001-03-26No213 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,250,000$442,416$No
RFA
Link / NHL Link
Evgeni MalkinSenatorsC391986-07-31No210 Lbs6 ft5NoNoYes2Pro Only6,500,000$6,500,000$2,300,562$No6,500,000$
UFA
Link / NHL Link
Ian ColeSenatorsD361989-02-21No237 Lbs6 ft1NoNoYes2Pro & Farm3,500,000$3,500,000$1,238,764$No3,500,000$
UFA
Link / NHL Link
Jake OettingerSenatorsG271998-12-18No205 Lbs6 ft5NoNoYes5Pro Only6,178,000$6,178,000$2,186,596$No6,178,000$6,178,000$6,178,000$6,178,000$
UFA
Link / NHL Link
Jeff PetrySenatorsD381987-12-09No208 Lbs6 ft3NoNoYes1Pro & Farm4,000,000$4,000,000$1,415,730$No
UFA
Link / NHL Link
Josh NorrisSenatorsC261999-05-05No196 Lbs6 ft2NoNoYes5Pro Only7,000,000$7,000,000$2,477,528$No7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Link / NHL Link
Morgan GeekieSenatorsLW271998-07-20No208 Lbs6 ft3NoNoYes3Pro & Farm2,500,000$2,500,000$884,831$No2,500,000$2,500,000$
UFA
Link / NHL Link
Niko MikkolaSenatorsD291996-04-27No204 Lbs6 ft6NoNoYes5Pro & Farm3,500,000$3,500,000$1,238,764$No3,500,000$3,500,000$3,500,000$3,500,000$
UFA
Link / NHL Link
Oliver BjorkstrandSenatorsRW301995-04-10No175 Lbs6 ft0NoNoYes1Pro Only5,700,000$5,700,000$2,017,416$No
UFA
Link / NHL Link
Oskar SundqvistSenatorsRW311994-03-23No220 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$707,865$No
UFA
Link / NHL Link
Patrick KaneSenatorsRW371988-11-19No177 Lbs5 ft10NoNoYes2Pro Only6,500,000$6,500,000$2,300,562$No6,500,000$
UFA
Link / NHL Link
Paul CotterSenatorsRW261999-11-16No213 Lbs6 ft2NoNoYes4Pro & Farm2,500,000$2,500,000$884,831$No2,500,000$2,500,000$2,500,000$
UFA
Link / NHL Link
Pyotr KochetkovSenatorsG261999-06-25No176 Lbs6 ft0NoNoYes2Pro & Farm3,400,000$3,400,000$1,203,371$No3,400,000$
UFA
Link / NHL Link
Quinn HughesSenatorsD261999-10-14No180 Lbs5 ft10YesNoYes3Pro Only1$1$0$No10,000,000$10,000,000$
UFA
Link / NHL Link
Tommy NovakSenatorsLW281997-04-28No179 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$1,061,798$No3,000,000$
UFA
Link / NHL Link
Trent FredericSenatorsLW271998-02-11No221 Lbs6 ft3NoNoYes2Pro & Farm3,000,000$3,000,000$1,061,798$No3,000,000$
UFA
Link / NHL Link
Vincent TrocheckSenatorsRW321993-07-11No188 Lbs5 ft11NoNoYes1Pro Only5,250,000$5,250,000$1,858,146$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2230.45201 Lbs6 ft12.323,894,455$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
85,678,001$68,478,000$34,578,000$19,178,000$16,678,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tommy NovakVincent TrocheckJosh Norris40122
2Evgeni MalkinBrayden SchennPatrick Kane30122
3Paul CotterOskar SundqvistOliver Bjorkstrand20113
4Trent FredericColin BlackwellConnor Dewar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesIan Cole30122
2Cam FowlerNiko Mikkola30122
3Dmitry KulikovDrew Helleson25122
4Quinn HughesIan Cole15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brayden SchennEvgeni MalkinTommy Novak50104
2Paul CotterJosh NorrisVincent Trocheck50104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesOliver Bjorkstrand50113
2Cam FowlerPatrick Kane50113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckOskar Sundqvist50140
2Josh NorrisColin Blackwell50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesIan Cole50230
2Cam FowlerDmitry Kulikov50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vincent Trocheck50140Quinn HughesIan Cole50140
2Colin Blackwell50140Cam FowlerDmitry Kulikov50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckTommy Novak50122
2Josh NorrisColin Blackwell50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesIan Cole50122
2Cam FowlerNiko Mikkola50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tommy NovakEvgeni MalkinVincent TrocheckQuinn HughesIan Cole
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tommy NovakEvgeni MalkinVincent TrocheckQuinn HughesIan Cole
Extra Forwards
Normal PowerPlayPenalty Kill
Patrick Kane, Oskar Sundqvist, Colin BlackwellPatrick Kane, Tommy NovakPatrick Kane
Extra Defensemen
Normal PowerPlayPenalty Kill
Niko Mikkola, Dmitry Kulikov, Ian ColeNiko MikkolaDrew Helleson, Dmitry Kulikov
Penalty Shots
Vincent Trocheck, Tommy Novak, Evgeni Malkin, Josh Norris, Patrick Kane
Goalie
#1 : Jake Oettinger, #2 : Pyotr Kochetkov, #3 : 0


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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
1Avalanche11000000211110000002110000000000021.0002460001103311814029710155120.00%50100.00%0967185552.13%1023200151.12%45887752.22%2618207126
2Blackhawks11000000642000000000001100000064221.0006915003300431018150201115325240.00%30100.00%0967185552.13%1023200151.12%45887752.22%2416227137
3BlueJackets30300000815-72020000038-51010000057-200.000814220024207726203101292334556116.67%16475.00%0967185552.13%1023200151.12%45887752.22%664576213617
4Blues2110000045-1110000003211010000013-220.5004711001120391113150521420408112.50%10280.00%0967185552.13%1023200151.12%45887752.22%463247152612
5Bruins20101000810-2100010005411010000036-320.500814220021416730171827117124713323.08%5260.00%0967185552.13%1023200151.12%45887752.22%453249142412
6Canadiens21100000541110000002021010000034-120.50059140120306327132306013334610220.00%14192.86%0967185552.13%1023200151.12%45887752.22%433053152311
7Canucks2020000019-81010000016-51010000003-300.00011200100058251716079242240700.00%11554.55%0967185552.13%1023200151.12%45887752.22%463149142411
8Capitals31200000911-2211000008531010000016-520.333916250033309430412301103553769444.44%23769.57%0967185552.13%1023200151.12%45887752.22%694671223819
9Devils2010000148-4000000000002010000148-410.2504711002112713022178681922451119.09%11281.82%0967185552.13%1023200151.12%45887752.22%493249152613
10Ducks220000001266110000008441100000042241.0001221330054307425262306013204712541.67%9188.89%0967185552.13%1023200151.12%45887752.22%493344142513
11Flames210010001174110000007431000100043141.0001120310072118928312915814304312433.33%14285.71%0967185552.13%1023200151.12%45887752.22%503544132413
12Flyers11000000624000000000001100000062421.00069150021303110813029814184250.00%7185.71%0967185552.13%1023200151.12%45887752.22%2213247136
13Hurricanes30300000512-72020000049-51010000013-200.0005101500221069262023010630286210110.00%12466.67%0967185552.13%1023200151.12%45887752.22%624177223918
14Islanders30201000813-51000100043120200000410-620.3338132100241110928394119329615915320.00%15660.00%0967185552.13%1023200151.12%45887752.22%725071224020
15Jets2010010047-31000010012-11010000035-210.2504812001120521717180531431495120.00%13376.92%0967185552.13%1023200151.12%45887752.22%402757152311
16Kings1010000057-2000000000001010000057-200.0005914001220215970291013204250.00%4175.00%0967185552.13%1023200151.12%45887752.22%2113237147
17Lightning2020000049-51010000025-31010000024-200.0004812000220701530250792932518112.50%14378.57%0967185552.13%1023200151.12%45887752.22%473248142411
18Mammoth10001000431100010004310000000000021.0004812001111356716637516246233.33%8275.00%0967185552.13%1023200151.12%45887752.22%2719237116
19MapleLeafs30100200710-32000020057-21010000023-120.3337121900322010841244309430327113215.38%11372.73%0967185552.13%1023200151.12%45887752.22%735269213818
20Oilers210000014311000000112-11100000031230.7504812001210551620184462248339111.11%90100.00%0967185552.13%1023200151.12%45887752.22%543845142513
21Panthers20200000411-71010000035-21010000016-500.000481210130046172270771722466233.33%11372.73%0967185552.13%1023200151.12%45887752.22%433051142412
22Penguins20001100880100010005411000010034-130.75081523001331722821212621215338112.50%50100.00%0967185552.13%1023200151.12%45887752.22%503644142512
23Predators22000000752110000003211100000043141.00071320002320501715180692436408337.50%70100.00%0967185552.13%1023200151.12%45887752.22%422853152411
24Rangers11000000541000000000001100000054121.000571200023017395036101327200.00%40100.00%0967185552.13%1023200151.12%45887752.22%2014267125
25RedWings3100011010911000010034-12100001075250.8331017270042316724172389649407410330.00%19478.95%0967185552.13%1023200151.12%45887752.22%694681243717
26Sabres2010100057-2100010005411010000003-320.500510150030115517221515118184411218.18%9277.78%0967185552.13%1023200151.12%45887752.22%432953152612
27Sharks11000000312000000000001100000031221.000369001110319157023315165120.00%5180.00%0967185552.13%1023200151.12%45887752.22%2417227126
28Wild11000000532110000005320000000000021.00051015001130331110120338615200.00%30100.00%0967185552.13%1023200151.12%45887752.22%2317246115
Total54162406512164194-302688054018487-3288160111180107-27530.491164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
_Since Last GM Reset54162406512164194-302688054018487-3288160111180107-27530.491164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
_Vs Conference345190441196133-371627043004958-918312001114775-28250.3689616926511293032710163523253282211613394297541362820.59%1764276.14%0967185552.13%1023200151.12%45887752.22%779534848255434210
_Vs Division1628023104360-17812023002529-4816000101831-13130.406437812111151015347617114515411528173189379711521.13%831878.31%0967185552.13%1023200151.12%45887752.22%36625440612020095

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5453W116429345716291749508711116811
All Games
GPWLOTWOTL SOWSOLGFGA
5416246512164194
Home Games
GPWLOTWOTL SOWSOLGFGA
268854018487
Visitor Games
GPWLOTWOTL SOWSOLGFGA
28816111180107
Last 10 Games
WLOTWOTL SOWSOL
442000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2245122.77%2775978.70%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
543531536335452519
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
967185552.13%1023200151.12%45887752.22%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12588651327402686337


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
110BlueJackets3Senators2BLBoxScore
319Senators0Sabres3ALBoxScore
433Senators5Rangers4AWBoxScore
649Lightning5Senators2BLBoxScore
865MapleLeafs2Senators1BLXBoxScore
1080Panthers5Senators3BLBoxScore
1292Sabres4Senators5BWXBoxScore
15112Senators3Oilers1AWBoxScore
17126Senators4Flames3AWXBoxScore
18139Senators0Canucks3ALBoxScore
22169MapleLeafs5Senators4BLXBoxScore
24186Blues2Senators3BWBoxScore
27206Senators6Flyers2AWBoxScore
29214Senators3Bruins6ALBoxScore
31236Islanders3Senators4BWXBoxScore
33251Senators1Islanders4ALBoxScore
35258Senators1Panthers6ALBoxScore
36272Senators2Lightning4ALBoxScore
38287Oilers2Senators1BLXXBoxScore
40304Senators1Capitals6ALBoxScore
42315Flames4Senators7BWBoxScore
44331BlueJackets5Senators1BLBoxScore
45337Senators3Devils4ALXXBoxScore
48359Senators6Blackhawks4AWBoxScore
50380Senators3Jets5ALBoxScore
52388Senators3RedWings2AWXXBoxScore
54405Hurricanes5Senators3BLBoxScore
57428Jets2Senators1BLXBoxScore
59446Ducks4Senators8BWBoxScore
60451Senators2MapleLeafs3ALBoxScore
64479RedWings4Senators3BLXBoxScore
65490Senators3Penguins4ALXBoxScore
71511Mammoth3Senators4BWXBoxScore
74530Senators1Blues3ALBoxScore
75534Senators1Hurricanes3ALBoxScore
77549Avalanche1Senators2BWBoxScore
81583Senators3Sharks1AWBoxScore
83593Senators5Kings7ALBoxScore
84602Senators4Ducks2AWBoxScore
87624Hurricanes4Senators1BLBoxScore
88632Wild3Senators5BWBoxScore
91657Canucks6Senators1BLBoxScore
93664Senators5BlueJackets7ALBoxScore
95685Capitals1Senators5BWBoxScore
96692Senators3Islanders6ALBoxScore
99722Capitals4Senators3BLBoxScore
100729Senators1Devils4ALBoxScore
104759Predators2Senators3BWBoxScore
106772Senators3Canadiens4ALBoxScore
107780Senators4RedWings3AWBoxScore
110804Senators4Predators3AWBoxScore
112815Bruins4Senators5BWXBoxScore
113827Penguins4Senators5BWXBoxScore
115837Canadiens0Senators2BWBoxScore
117852Senators-Canadiens-
120875Sharks-Senators-
122887Rangers-Senators-
124902Senators-Flyers-
125909Senators-Rangers-
128932Senators-Stars-
129948Senators-Wild-
131960Panthers-Senators-
133977Penguins-Senators-
135992RedWings-Senators-
1391015Senators-Panthers-
1401030Senators-Lightning-
1421043GoldenKnights-Senators-
1441053Devils-Senators-
1461065Lightning-Senators-
1471066Senators-Sabres-
1491089Sabres-Senators-
1511096Senators-Mammoth-
1531112Senators-GoldenKnights-
1551126Senators-Avalanche-
1581150Bruins-Senators-
1611164Canadiens-Senators-
1661197Stars-Senators-
1681212Kings-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701229Flyers-Senators-
1721238Senators-Bruins-
1741255Senators-MapleLeafs-
1761264Blackhawks-Senators-


Depth Chart
Left WingCenterRight Wing
Morgan Geekie
Morgan Geekie
AGE:27
SK:85
EN:83
DU:96
PH:75
PA:66
SC:85
DF:73
Trent Frederic
Trent Frederic
AGE:27
SK:75
EN:77
DU:83
PH:56
PA:50
SC:61
DF:65
Tommy Novak
Tommy Novak
AGE:28
SK:82
EN:77
DU:80
PH:62
PA:54
SC:70
DF:69
Connor Dewar
Connor Dewar
AGE:26
SK:79
EN:74
DU:76
PH:54
PA:50
SC:57
DF:70
Tanner Laczynski
Tanner Laczynski
AGE:28
SK:81
EN:60
DU:50
PH:62
PA:64
SC:60
DF:65
Tomas Nosek
Tomas Nosek
AGE:33
SK:75
EN:71
DU:83
PH:51
PA:51
SC:51
DF:70
Braeden Bowman (R)
Braeden Bowman
AGE:22
SK:83
EN:77
DU:67
PH:47
PA:47
SC:47
DF:55
Liam Foudy
Liam Foudy
AGE:25
SK:76
EN:79
DU:69
PH:51
PA:49
SC:53
DF:50
Francesco Pinelli
Francesco Pinelli
AGE:22
SK:75
EN:79
DU:69
PH:42
PA:36
SC:48
DF:62
Josh Norris
Josh Norris
AGE:26
SK:85
EN:85
DU:81
PH:71
PA:61
SC:81
DF:86
Evgeni Malkin
Evgeni Malkin
AGE:39
SK:84
EN:84
DU:89
PH:75
PA:81
SC:69
DF:69
Brayden Schenn
Brayden Schenn
AGE:34
SK:85
EN:84
DU:99
PH:70
PA:72
SC:68
DF:69
Colin Blackwell
Colin Blackwell
AGE:32
SK:81
EN:74
DU:86
PH:56
PA:54
SC:58
DF:80
Nikita Nesterenko
Nikita Nesterenko
AGE:24
SK:78
EN:72
DU:57
PH:57
PA:48
SC:66
DF:62
Vincent Hinostroza
Vincent Hinostroza
AGE:31
SK:81
EN:77
DU:69
PH:56
PA:51
SC:61
DF:66
Cole Guttman
Cole Guttman
AGE:26
SK:82
EN:79
DU:69
PH:58
PA:60
SC:57
DF:50
Cameron Hebig
Cameron Hebig
AGE:28
SK:80
EN:76
DU:66
PH:54
PA:46
SC:62
DF:70
Jake Lucchini
Jake Lucchini
AGE:30
SK:77
EN:79
DU:69
PH:51
PA:48
SC:55
DF:67
Noah Philp (R)
Noah Philp
AGE:27
SK:75
EN:70
DU:53
PH:50
PA:51
SC:50
DF:65
Vincent Trocheck
Vincent Trocheck
AGE:32
SK:90
EN:90
DU:99
PH:75
PA:73
SC:76
DF:96
Patrick Kane
Patrick Kane
AGE:37
SK:93
EN:84
DU:92
PH:79
PA:83
SC:74
DF:60
Oliver Bjorkstrand
Oliver Bjorkstrand
AGE:30
SK:87
EN:80
DU:97
PH:69
PA:66
SC:72
DF:69
Oskar Sundqvist
Oskar Sundqvist
AGE:31
SK:76
EN:77
DU:89
PH:57
PA:57
SC:57
DF:72
Paul Cotter
Paul Cotter
AGE:26
SK:76
EN:77
DU:97
PH:56
PA:46
SC:67
DF:64
Gage Goncalves
Gage Goncalves
AGE:24
SK:80
EN:76
DU:84
PH:59
PA:56
SC:61
DF:65
Carl Grundstrom
Carl Grundstrom
AGE:28
SK:77
EN:71
DU:81
PH:52
PA:49
SC:54
DF:63
Zack Ostapchuk
Zack Ostapchuk
AGE:22
SK:75
EN:70
DU:81
PH:48
PA:44
SC:51
DF:63
Sam Morton (R)
Sam Morton
AGE:26
SK:88
EN:79
DU:69
PH:51
PA:49
SC:53
DF:51
Alexander Nylander
Alexander Nylander
AGE:27
SK:76
EN:73
DU:63
PH:53
PA:47
SC:59
DF:50

Defense #1Defense #2Goalie
Quinn Hughes
Quinn Hughes
AGE:26
SK:99
EN:92
DU:89
PH:96
PA:99
SC:79
DF:78
Ian Cole
Ian Cole
AGE:36
SK:75
EN:84
DU:99
PH:54
PA:56
SC:52
DF:87
Cam Fowler
Cam Fowler
AGE:34
SK:84
EN:86
DU:89
PH:72
PA:77
SC:66
DF:77
Niko Mikkola
Niko Mikkola
AGE:29
SK:75
EN:84
DU:95
PH:58
PA:57
SC:60
DF:73
Dmitry Kulikov
Dmitry Kulikov
AGE:35
SK:76
EN:82
DU:91
PH:54
PA:51
SC:57
DF:80
Drew Helleson
Drew Helleson
AGE:24
SK:76
EN:77
DU:81
PH:56
PA:53
SC:59
DF:76
Jeff Petry
Jeff Petry
AGE:38
SK:75
EN:81
DU:73
PH:53
PA:53
SC:53
DF:76
Nikita Novikov
Nikita Novikov
AGE:22
SK:75
EN:72
DU:67
PH:39
PA:37
SC:41
DF:70
Joe Hicketts
Joe Hicketts
AGE:29
SK:75
EN:66
DU:61
PH:44
PA:52
SC:36
DF:68
Noel Hoefenmayer
Noel Hoefenmayer
AGE:26
SK:75
EN:55
DU:50
PH:47
PA:51
SC:44
DF:67
Matt Kiersted
Matt Kiersted
AGE:27
SK:75
EN:68
DU:63
PH:44
PA:56
SC:32
DF:70
Cole Clayton
Cole Clayton
AGE:25
SK:75
EN:67
DU:62
PH:35
PA:38
SC:32
DF:65
Declan Carlile
Declan Carlile
AGE:25
SK:75
EN:59
DU:54
PH:39
PA:35
SC:43
DF:70
David Spacek
David Spacek
AGE:22
SK:75
EN:76
DU:71
PH:44
PA:51
SC:37
DF:50
Jake Oettinger
Jake Oettinger
AGE:27
SK:86
AG:83
RB:81
SC:82
HS:82
RT:84
DF:80
Pyotr Kochetkov
Pyotr Kochetkov
AGE:26
SK:90
AG:78
RB:76
SC:77
HS:79
RT:75
DF:77
Matthew Murray
Matthew Murray
AGE:27
SK:75
AG:72
RB:68
SC:67
HS:70
RT:71
DF:72
Colten Ellis
Colten Ellis
AGE:25
SK:89
AG:68
RB:68
SC:61
HS:67
RT:66
DF:66
Carl Lindbom (R)
Carl Lindbom
AGE:22
SK:75
AG:61
RB:62
SC:61
HS:58
RT:60
DF:58
Magnus Chrona
Magnus Chrona
AGE:25
SK:82
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
Aiden FinkSenators2037162
Alexis GravelSenators2032104
Angus MacdonellSenators2038146
Austin BurnevikSenators2038195
Ben BoydSenators2035198
Casper NassenSenators2038177
Cole McKinneySenators203945
Dalyn WakelySenators2038134
Filip WesterlundSenators203175
Jack AdamsSenators2031122
Jaden LipinskiSenators2037144
Jakub MilotaSenators2038109
James ClarkSenators2037175
Jeremy HanzelSenators2037149
Kasper HalttunenSenators203734
Lucas MercuriSenators2034156
Niilopekka MuhonenSenators2038173
Oscar PlandowskiSenators2035184
Rico GredigSenators2038208
Theo JacobssonSenators2035216
Veeti VaisanenSenators2038102
Vojtech PortSenators2037206
Warren ClarkSenators2037146
Xavier VeilleuxSenators2038189
Zach GallantSenators203162

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2041
2042



Senators 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
1Ales Kotalik1472217330547-15910601890176922989.44%8782342615.914879127222561152291147.12%10.47613
2Kris Versteeg821225308533-722776471630203811.04%1961436817.506211217443053834282041.53%10.741142
3Mikko Rantanen51923529653102244701041196211.98%1111103621.266210616849118935311539.62%110.961137
4Elias Lindholm542200316516152034861548184910.82%1491162521.4566125191477641045241152.91%20.891236
5Alexander Semin536218295513-124567251145193811.25%2251306824.385197148302581349301233.21%70.791057

Senators Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mike Smith399175179350.9053.11235113919121812854023100.746185
2Jaroslav Halak22811587200.9142.56133824411571663526681150.761113
3Petr Mrazek19310076110.9033.021125514956758410820.81063
4Pyotr Kochetkov127684640.8913.29723023339636450520.83330
5Peter Budaj80442970.8962.9347970423422470410.72236

Senators 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
201782304003351240264-2441151902230129131-241152101121111133-2269240392632110648385247207448988212707884106818722665821.80%2585080.62%5975193250.47%1017211947.99%658136248.31%169293619368371503747
201882274006234236248-1241142101122114119-541131905112122129-768236381617010509285237606598948012689816108518401953417.44%2404083.33%9855186545.84%1001212747.06%679135050.30%164189418097651522755
201982323504254229222741141703034113111241181801220116111574229357586160688171241007368408102471801123017452104521.43%2374780.17%8978202548.30%1010202749.83%569110751.40%166189117367751573786
202082333402166230240-1041181501043113104941151901123117136-1971230364594530606894233806448128542438812111917942145123.83%2554980.78%5966191850.36%957199647.95%586116150.47%163884517137911632816
202182215201242204281-7741142301111110132-22417290013194149-5546204366570320756361224907287277832725762108720863676016.35%4288480.37%11069280338.14%1178322736.50%470128636.55%1844124220766211038505
20228236310314724122714412212031031371132441141900044104114-1079241417658140886482231507227677922528745105419224358820.23%4106384.63%31023285735.81%1119313335.72%427124534.30%1908128220366391037510
20238233340426326425311411817011311331258411517031321311283762644607241509592672562081283689026558181078193343810724.43%4478580.98%61316305043.15%1261310640.60%534131340.67%1899128020336271042514
202482224300467251322-7141132100322127160-334192200145124162-3867251445696510858872249208477908252912874122521093748221.93%52014073.08%71237292642.28%1197332336.02%523133639.15%1854123420986281037507
202582205104322240334-9441122302211127167-404182802111113167-5457240430670300857376230207207628013051841116321633866917.88%47813871.13%31220277344.00%1351341639.55%535133939.96%1763116021416441051502
202682194502673258340-8241112500221137178-414182002452121162-4165258435693000868677260308388668713009889131020494198420.05%55314873.24%61453297048.92%1496334544.72%671138848.34%1778116921676491043495
202782215201134207321-11441132201122111145-34418300001296176-8055207360567020786560217607217347052852871110219283965814.65%48712175.15%41209270844.65%1312331739.55%550129442.50%1793119321376381028487
203082125801245175290-115417290011386142-56415290113289148-5941175301476030675647218907277107343079933115020353805113.42%52811578.22%51217273644.48%1426351240.60%564126544.58%1756115521806471034489
20318237310116629225339411814011251431291441191700041149124259529252181314010610574269508878779162356708100117884379421.51%4269378.17%61683311054.12%1496288451.87%695130453.30%2070143918776091036526
203282353501416268267141161601404125129-44119190001214313858426846673401085928927500886887956244575991818084178019.18%4067781.03%31676318652.61%1494285352.37%704129254.49%2001138119346121030516
203382313602256250280-3041151801043121126-541161801213129154-2584250422672030918765253108448558082655765107718264297016.32%4809081.25%51553299851.80%1440309746.50%667129351.59%1965134220036231014507
203482343802251269279-10411915012401491341541152301011120145-2585269472741110100798326220834838935256879894919484097718.83%4038878.16%01384302445.77%1235299841.19%606131945.94%1947133019716091035518
203582433300222270241294120150022214212319412318000001281181094270486756150879487262008848548702592745102719684398419.13%4377283.52%51470302448.61%1322306943.08%610128947.32%1987137019386071019508
20368240290234429526134412114011221551272841191501222140134699295528823240112918626980876881896223169985517454338218.94%3797879.42%41561306151.00%1361267150.95%657134648.81%2127150318195861028529
203782284104333280314-3441142002122135155-2041142102211145159-14762804807603111483767261683585489844261273892316893958621.77%3979077.33%91492287651.88%1479289551.09%708138251.23%1952135319926041026511
20388239280816033726275411816050201681323641211203140169130391073375779142311411396173073992989105356251178298718424249321.93%4128180.34%31741333052.28%1551290253.45%754137155.00%2015139119276131031523
203954162406512164194-302688054018487-3288160111180107-2753164293457115452519162954353153633174950871111682245122.77%2775978.70%0967185552.13%1023200151.12%45887752.22%12588651327402686337
Total Regular Season169460981005752887852005693-49384632038003230424226592769-11084828943002522463625412924-383154552008953141533151282173016821394517182370164831731515201548351654822119392587687150419.57%8458180878.62%97270455702747.42%267266001844.53%126252691946.90%385582526740861135352345411599
Playoff
201917107000003536-18530000014131954000002123-22035569112081410417010415314845614715339643716.28%18288.89%017236047.78%15235343.06%10021945.66%319154360164352178
2022734000002024-431200000712-54220000013121620375700031252120569264267908616434823.53%421076.19%19825139.04%10730335.31%4310540.95%15099183538641
2031514000001420-62110000065130300000815-721426400006261430554342142437010829620.69%29775.86%09218250.55%7318240.11%398545.88%12182123386130
20351810800000555509630000026206945000002935-620559815300017181856801752141505911742214391042120.19%942276.60%134468550.22%29173339.70%14329548.47%432301464137223111
20361174000003931853200000141316420000025187143966105000141310330010811589371117133217621219.35%601181.67%020941949.88%21044746.98%7217441.38%2691842798413969
2038624000002126-5312000001013-3312000001113-2421385900106412057772506191587712631722.58%32778.13%110822248.65%12622655.75%5510353.40%145100144467437
Total Playoff64333100000184192-8301713000007776134161800000107116-9661843215051210546350187577570667499201862974014503036120.13%2755978.55%31023211948.28%959224442.74%45298146.08%14389221556524938468

Senators 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
1Mikko Rantanen26182543126226313113.74%668526.3588163110183235.06%11.2600
2Elias Lindholm321527421482410112312.20%1679424.83311143101142051.07%01.0600
3Marcus Foligno291216281369106387715.58%854118.6855101400013240.85%11.0300
4Teddy Blueger29616222172281678.96%1050017.262571900001052.65%00.8800
5Alexander Semin24515201372648568.93%753222.21044600012035.71%00.7500

Senators Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak1710700.9232.0410310235455181110.0000
2Petr Mrazek169520.9033.0795800495050100.0000
3Ville Husso117310.9162.7068800313710100.0000
4Mike Smith73400.9033.6839100242480000.0000
5Pyotr Kochetkov62400.8574.3233300241680000.0000