Senators

GP: 31 | W: 19 | L: 10 | OTL: 2 | P: 40
GF: 122 | GA: 101 | PP%: 27.55% | PK%: 77.27%
GM : Alexandre Roberge | Morale : 75 | Team Overall : 63
Next Games #516 vs Moose

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 SP
1Mackie Samoskevich (R)0XX100.00673692717090866863666462676368075660
2Ben Meyers (R)0XX100.00673691637185826471626361606769075640
3Tye Kartye0X100.00854181677377876458606261656466075640
4Brennan Othmann (R)0X100.00694073657384826458626163656264075630
5Sasha Pastujov (R)0XX100.00633791627290766471656361656264075630
6Sammy Walker (R)0XX100.00593687656679856366605657596668075620
7Marc McLaughlin (R)0X100.00703888627574855865596357626668075620
8Hunter McKown (R)0X100.00693984597881835665595857566365075610
9Josh Dunne (R)0XX100.00784274588979775964575655586769075610
10Otto Stenberg (R)0X100.00593695656877666367605664576062075610
11Alexis Gendron (R)0X100.00553876616484745855546253606264075590
12Daylan Kuefler (R)0X100.00705167567985665558545257536365075580
13Arber Xhekaj0X100.00858858659484856330675966506568075650
14Lian Bichsel (R)0X100.00785665669982756530646367526165075650
15Victor Mancini0X100.00774087668982726330655860506365075640
16Calle Rosen0X100.00653791667580866430655662507173075640
17Filip Roos (R)0X100.00743985588680845630575258476668075610
18Santeri Hatakka (R)0X100.00674077637680745730625465476466075610
Scratches
1Gleb Veremyev0X100.00784373558771605459535057516264075580
2Cole McWard (R)0X100.00633792587674835630575559486466075600
TEAM AVERAGE100.0070438163788178615260586056646607562
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 SP
1Clay Stevenson (R)100.0077848085767577767577766675075670
2Jaxson Stauber (R)100.0075827878747375747375746675075650
Scratches
1Matt D. Murray100.0079858177787779787779786777075670
TEAM AVERAGE100.007784808076757776757776667607566
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Nolan Pratt65717868757076CAN503950,000$


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
1Ben MeyersSenators (OTT)C/LW31171734162204457111207215.32%973823.81347168610171334051.39%39700120.9202000232
2Tye KartyeSenators (OTT)LW311318312132015252113308311.50%864220.7414512740111743052.94%8500010.9612000122
3Mackie SamoskevichSenators (OTT)C/RW221219311803993111295810.81%1057926.34191019610002940052.42%78400001.0701000124
4Victor ManciniSenators (OTT)D315242917335734048254010.42%4566821.563362474011090010.00%000000.8700001202
5Lian BichselSenators (OTT)D31919281200574778325411.54%5473523.74591440840002106200.00%000000.7600000211
6Sasha PastujovSenators (OTT)LW/RW311513281680295193387016.13%664220.7244812861013672254.79%7300000.8701000121
7Arber XhekajSenators (OTT)D314162057020146414617518.70%5275424.344482184000093000.00%000000.5300121012
8Marc McLaughlinSenators (OTT)C3110102010100407394265310.64%655117.803361872000001051.75%71300000.7200000102
9Sammy WalkerSenators (OTT)C/RW316131910207376828648.82%255317.850661173000001055.56%4500000.6900000011
10Calle RosenSenators (OTT)D2351419840182437182213.51%3549421.513141953011076100.00%000000.7700000102
11Brennan OthmannSenators (OTT)LW319615010065439328609.68%347615.370118240003282038.46%2600000.6301000210
12Josh DunneSenators (OTT)C/LW314711-330066524715398.51%443614.07000000000300154.79%36500000.5000000010
13Filip RoosSenators (OTT)D314610416042111671125.00%2642613.740000200008100.00%000000.4700000101
14Santeri HatakkaSenators (OTT)D31281071602729232158.70%3144714.4300010000043000.00%000000.4500000010
15Alexis GendronSenators (OTT)RW31459-2204285814336.90%040413.0600000000001037.04%2700000.4400000000
16Hunter McKownSenators (OTT)C31156-2601418289143.57%32006.4600010000000047.66%23500000.6000000000
17Daylan KueflerSenators (OTT)LW31066080224114120.00%62086.7400000000000025.00%400000.5700000100
18Otto StenbergSenators (OTT)C311120000593511.11%2521.69000010001190159.09%4400000.7600000000
19Gleb VeremyevSenators (OTT)C9000120500010.00%070.860000100001000.00%000000.0000000000
Team Total or Average55012120732811029925850705108434575711.16%302902116.402748752027842351986918551.93%279800130.7317122151520
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
1Clay StevensonSenators (OTT)3118920.9043.25169962929600110.7504310340
2Jaxson StauberSenators (OTT)61100.9332.411740071040101.0003031000
Team Total or Average37191020.9073.171873629910640210.85773131340


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexis GendronRW212003-12-30Yes175 Lbs5 ft9NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Arber XhekajD242001-01-30No240 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ben MeyersC/LW261998-11-15Yes194 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Brennan OthmannLW222003-01-05Yes192 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Calle RosenD311994-02-02No188 Lbs6 ft1NoNoNo2UFAPro & Farm925,000$0$0$NoLink / NHL Link
Clay StevensonG261999-03-03Yes195 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Cole McWardD242001-06-09Yes192 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Daylan KueflerLW232002-02-10Yes195 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Filip RoosD261999-01-05Yes190 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gleb VeremyevC222003-06-28No205 Lbs6 ft4NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Hunter McKownC232002-08-18Yes205 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jaxson StauberG261999-04-27Yes174 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Josh DunneC/LW261998-12-08Yes211 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Lian BichselD212004-05-18Yes231 Lbs6 ft7NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Mackie SamoskevichC/RW222002-11-15Yes180 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Marc McLaughlinC261999-07-26Yes202 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matt D. MurrayG271998-02-02No196 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Otto StenbergC202005-05-29Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sammy WalkerC/RW261999-06-07Yes180 Lbs5 ft10NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Santeri HatakkaD242001-01-15Yes191 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sasha PastujovLW/RW222003-07-15Yes187 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Tye KartyeLW242001-04-30No202 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Victor Mancini (1 Way Contract)D232002-05-26No229 Lbs6 ft3NoNoNo4RFAPro & Farm2,500,000$2,500,000$1,614,583$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2324.13197 Lbs6 ft11.911,018,478$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben MeyersMackie SamoskevichSasha Pastujov40122
2Tye KartyeMarc McLaughlinSammy Walker30122
3Brennan OthmannJosh DunneAlexis Gendron20122
4Daylan KueflerHunter McKownMackie Samoskevich10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajLian Bichsel40122
2Calle RosenVictor Mancini30122
3Filip RoosSanteri Hatakka20122
4Arber XhekajLian Bichsel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben MeyersMackie SamoskevichSasha Pastujov60122
2Tye KartyeMarc McLaughlinSammy Walker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajLian Bichsel60122
2Calle RosenVictor Mancini40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mackie SamoskevichBen Meyers60122
2Tye KartyeSasha Pastujov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajLian Bichsel60122
2Calle RosenVictor Mancini40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mackie Samoskevich60122Arber XhekajLian Bichsel60122
2Ben Meyers40122Calle RosenVictor Mancini40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mackie SamoskevichBen Meyers60122
2Tye KartyeSasha Pastujov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Arber XhekajLian Bichsel60122
2Calle RosenVictor Mancini40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ben MeyersMackie SamoskevichSasha PastujovArber XhekajLian Bichsel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ben MeyersMackie SamoskevichSasha PastujovArber XhekajLian Bichsel
Extra Forwards
Normal PowerPlayPenalty Kill
Otto Stenberg, Brennan Othmann, Josh DunneOtto Stenberg, Brennan OthmannJosh Dunne
Extra Defensemen
Normal PowerPlayPenalty Kill
Filip Roos, Santeri Hatakka, Calle RosenFilip RoosSanteri Hatakka, Calle Rosen
Penalty Shots
Mackie Samoskevich, Ben Meyers, Tye Kartye, Sasha Pastujov, Brennan Othmann
Goalie
#1 : Clay Stevenson, #2 : Jaxson Stauber
Custom OT Lines Forwards
Mackie Samoskevich, Ben Meyers, Tye Kartye, Sasha Pastujov, Brennan Othmann, Marc McLaughlin, Marc McLaughlin, Sammy Walker, Josh Dunne, Hunter McKown, Otto Stenberg
Custom OT Lines Defensemen
Arber Xhekaj, Lian Bichsel, Calle Rosen, Victor Mancini, Filip Roos


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3140L21222073291084106530530585012
All Games
GPWLOTWOTL SOWSOLGFGA
3114104111122101
Home Games
GPWLOTWOTL SOWSOLGFGA
148410015740
Visitor Games
GPWLOTWOTL SOWSOLGFGA
176631106561
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
982727.55%1323077.27%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
326371375193839405
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
599113752.68%583112451.87%27150853.35%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
776543702221398203


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
3 - 2025-10-0911Senators4Crunch3WXBoxScore
5 - 2025-10-1127Senators8Checkers2WBoxScore
7 - 2025-10-1341Admirals2Senators4WBoxScore
9 - 2025-10-1557Senators1Americans2LXBoxScore
10 - 2025-10-1663Firebirds3Senators10WBoxScore
12 - 2025-10-1877Sound Tigers5Senators3LBoxScore
15 - 2025-10-2199Condors5Senators6WBoxScore
17 - 2025-10-23113Phantoms3Senators2LXXBoxScore
19 - 2025-10-25135Senators2Bears0WBoxScore
21 - 2025-10-27149Bruins3Senators2LBoxScore
22 - 2025-10-28160Senators6IceHogs5WXXBoxScore
24 - 2025-10-30168Wranglers5Senators4LBoxScore
26 - 2025-11-01187Senators2Rocket5LBoxScore
31 - 2025-11-06218Senators3Bruins7LBoxScore
33 - 2025-11-08232Senators4Phantoms3WXBoxScore
34 - 2025-11-09247Roadrunners2Senators3WXBoxScore
36 - 2025-11-11258Stars2Senators4WBoxScore
38 - 2025-11-13271Bruins0Senators3WBoxScore
40 - 2025-11-15286Reign1Senators2WBoxScore
45 - 2025-11-20329Senators4Gulls1WBoxScore
47 - 2025-11-22342Senators2Barracuda5LBoxScore
49 - 2025-11-24359Senators4Reign3WBoxScore
51 - 2025-11-26373Senators4Silver Knights3WXBoxScore
53 - 2025-11-28382Senators6Thunderbirds2WBoxScore
55 - 2025-11-30405Senators6Stars4WBoxScore
57 - 2025-12-02411Senators2Rocket4LBoxScore
59 - 2025-12-04427Wolf Pack5Senators4LBoxScore
61 - 2025-12-06445Thunderbirds1Senators6WBoxScore
64 - 2025-12-09467Devils3Senators4WBoxScore
66 - 2025-12-11486Senators3Monsters5LBoxScore
68 - 2025-12-13496Senators4Wild7LBoxScore
70 - 2025-12-15516Senators-Moose-
73 - 2025-12-18536Penguins-Senators-
75 - 2025-12-20551IceHogs-Senators-
76 - 2025-12-21564Senators-Bruins-
78 - 2025-12-23579Americans-Senators-
82 - 2025-12-27590Senators-Marlies-
84 - 2025-12-29606Monsters-Senators-
87 - 2026-01-01632Bears-Senators-
89 - 2026-01-03650Moose-Senators-
91 - 2026-01-05664Griffins-Senators-
93 - 2026-01-07680Senators-Roadrunners-
94 - 2026-01-08691Senators-Eagles-
96 - 2026-01-10704Checkers-Senators-
99 - 2026-01-13725Comets-Senators-
100 - 2026-01-14737Senators-Wolf Pack-
103 - 2026-01-17758Rocket-Senators-
104 - 2026-01-18768Senators-Griffins-
106 - 2026-01-20782Senators-Monsters-
108 - 2026-01-22798Senators-Admirals-
110 - 2026-01-24813Wolves-Senators-
111 - 2026-01-25821Silver Knights-Senators-
114 - 2026-01-28841Eagles-Senators-
117 - 2026-01-31866Devils-Senators-
119 - 2026-02-02877Senators-Penguins-
120 - 2026-02-03888Senators-Wolves-
122 - 2026-02-05906Senators-Phantoms-
143 - 2026-02-26920Griffins-Senators-
145 - 2026-02-28940Senators-Marlies-
148 - 2026-03-03966Senators-Condors-
150 - 2026-03-05981Senators-Wranglers-
152 - 2026-03-071000Senators-Firebirds-
154 - 2026-03-091011Senators-Comets-
156 - 2026-03-111025Rocket-Senators-
159 - 2026-03-141043Gulls-Senators-
160 - 2026-03-151058Barracuda-Senators-
163 - 2026-03-181079Senators-Bears-
164 - 2026-03-191084Sound Tigers-Senators-
166 - 2026-03-211106Marlies-Senators-
168 - 2026-03-231119Senators-Wolf Pack-
169 - 2026-03-241122Senators-Griffins-
171 - 2026-03-261138Penguins-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281152Senators-Crunch-
176 - 2026-03-311181Senators-Checkers-
178 - 2026-04-021191Americans-Senators-
180 - 2026-04-041208Wild-Senators-
181 - 2026-04-051225Wolves-Senators-
183 - 2026-04-071234Crunch-Senators-
185 - 2026-04-091250Checkers-Senators-
187 - 2026-04-111262Senators-Sound Tigers-
188 - 2026-04-121279Senators-Devils-
191 - 2026-04-151304Marlies-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2010
Attendance27,95614,000
Attendance PCT99.84%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-4 2997 - 99.90% 62,421$873,900$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,077,528$ 2,092,500$ 2,092,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 739,621$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-249,686$ 124 15,846$ 1,964,904$




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
20248240320161228527213412313002121511321941171901400134140-6922855198042510792842277292790591930276676754818842756322.91%2505976.40%21483297949.78%1501295650.78%696139649.86%1949134319286091069532
2025311410041111221012114840100157401717660311065614401222073291238394051084326371375191065305305850982727.55%1323077.27%2599113752.68%583112451.87%27150853.35%776543702221398203
Total Regular Season11354420572340737334553117012132081723658232504510199201-213240772611333714513112473856125312761294493831107285327343739024.13%3828976.70%42082411650.58%2084408051.08%967190450.79%2725188626308301468736
Playoff
2024514000001518-32110000064230300000914-5215264100663020162637601624224901616.25%11281.82%09419049.47%7115645.51%357745.45%13296105336231
Total Playoff514000001518-32110000064230300000914-5215264100663020162637601624224901616.25%11281.82%09419049.47%7115645.51%357745.45%13296105336231