Senators

GP: 68 | W: 44 | L: 20 | OTL: 4 | P: 92
GF: 183 | GA: 124 | PP%: 18.10% | PK%: 86.51%
GM : Marc-André Bilodeau Lamontagne | Morale : 50 | Team Overall : 61
Next Games #1047 vs Crunch

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# 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
1Lukas RadilX100.006642886287757463686059616378685150620
2Joshua Ho-SangX100.005739896669787564596258616667647850610
3Matt ReadX100.005743896268787361565960635984745250610
4Vladislav KamenevX100.006139886379746864736259576567647250610
5Glenn GawdinX100.006251855976868858746258605965635950610
6Jean-Sebastien DeaX100.005545866366797862746160596271665350610
7Max McCormickX100.006852815970787561546059625875685750610
8Martin KautX100.006145896078848162555958636061638450610
9Joakim RyanX100.006742856469807163307053664873674250640
10Xavier OuelletX100.006443896376817262306158645573766250640
11Noah Dobson (R)X100.005842876883746166306954625160638750630
12Taylor FedunX100.006242846177737159306758635580724650630
13Dakota MermisX100.005945896073857458305957625371665650620
14Jordan SchmaltzX100.006243896180787259305857605173676950620
15Mikey AndersonX100.006042906274837359305857634861636250620
16Urho VaakanainenX100.006342876174797259306058655362638350620
17Jonathan AspirotX100.006348825974807958305752604567646150610
18Tobias Bjornfot (R)X100.006142906375767061305958624659618450610
19Cody GoloubefX100.006739835675776454305252644679715950610
20Andreas EnglundX100.006351825881807757305656595167647350610
21Kyle CumiskeyX100.005339876068777661305954574584745150610
Scratches
1Andrew PoturalskiX100.005645885970808258636257566071665950600
2MacKenzie Entwistle (R)X100.006351836081868858535656575962646850600
3Boris KatchoukX100.006553865880889157525556596063627450600
4Carsen TwarynskiX100.006645896080757259535758615965625950600
5Kole LindX100.005751856073868258545956615863627750600
6Logan O'ConnorX100.005743896269777861545960586267635650600
7Gabriel FontaineX100.006443875878798157535654596065636250590
8Nate Schnarr (R)X100.006249845879807657635853565961636650590
9Anthony RichardX100.005541906063798159535860575967645750590
10Jakub Lauko (R)X100.005245785968727158525457535660626750570
11Christopher Brown (R)X100.005441895270736851585050535167645850540
12Andreas BorgmanX100.006251835974838458305753554669656050610
13Michael PrapavessisX100.006142895576787753305252544567645750580
TEAM AVERAGE100.00614586607579765946595660556865645061
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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
1Chris Driedger100.00777270877675777675777671756250740
2Kirill Ustimenko (R)100.00655452816463656463656461656650630
Scratches
TEAM AVERAGE100.0071636184706971706971706670645069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Groulx71677370817571CAN5241,000,000$


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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
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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
1Joakim RyanSenators (Ott)D68185169201115155991724411310.47%95158123.261414281273150223204410.00%000100.8700010385
2Lukas RadilSenators (Ott)C68332457246151201702438218713.58%20148021.77810184821210192465159.94%124800000.7715010478
3Matt ReadSenators (Ott)RW682429530108301781623651012826.58%20148921.9091625833100000854450.56%8900000.7124132453
4Glenn GawdinSenators (Ott)C6818294720611585941534911611.76%8114216.8031114361990000123166.47%33700000.8200003631
5Xavier OuelletSenators (Ott)D68133144135158866121438010.74%68126718.63111425862320000184320.00%000000.6900001112
6Taylor FedunSenators (Ott)D68103343137001006397377710.31%75126118.5451621702320001178300.00%000000.6800000063
7Joshua Ho-SangSenators (Ott)RW682110311324057821734710412.14%1786812.77000317000009158.06%6200000.7101000146
8Dakota MermisSenators (Ott)D68620261443562448527637.06%2385012.5100000000002026.67%3000000.6100010124
9Urho VaakanainenSenators (Ott)D6831821-1555113463415168.82%4772610.690000000000000.00%000000.5800100222
10Jordan OesterleOttawa SenatorsD1761117312020183893215.79%2139323.1657122885000069200.00%000000.8600000221
11Martin KautSenators (Ott)RW1787159100202246113517.39%234620.3933612741012391150.00%5200000.8700000220
12Mikey AndersonSenators (Ott)D682111362002214166912.50%223425.040000000000000.00%000000.7600000001
13A.J. GreerOttawa SenatorsLW13459013532102992013.79%431324.0932511580000380056.52%4600010.5700010100
14Vladislav KamenevSenators (Ott)C30459822032485014538.00%248816.29011854000033065.57%30500000.3700000100
15Noah DobsonSenators (Ott)D171672120101352420.00%517710.430000000000010.00%000000.7900000000
16Alexander TrueOttawa SenatorsC1215631551330126148.33%330825.720221460000450060.38%31800000.3900001000
17Jordan SchmaltzSenators (Ott)D68202-140221971810.53%3620.92101162900002200.00%100000.6400000000
18Tobias BjornfotSenators (Ott)D68022160217340.00%7861.2701117011041000.00%300000.4600000000
19Jonathan AspirotSenators (Ott)D68011140960010.00%141181.74000000110110000.00%000000.1700000000
Team Total or Average9901742984721487028011209901665512122810.45%4561330613.4462971595301876246151264411260.42%249100110.71310277284236
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
1Chris DriedgerSenators (Ott)68442040.9271.72405901911615970620.714216801524
Team Total or Average68442040.9271.72405901911615970620.714216801524


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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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.
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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
Andreas BorgmanD251995-06-18No199 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andreas EnglundD241996-01-21No189 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andrew PoturalskiRW271994-01-14No189 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Anthony RichardC241996-12-20No163 Lbs5 ft10NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Boris KatchoukLW221998-06-18No199 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Carsen TwarynskiLW231997-11-24No198 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Chris DriedgerG261994-05-18No205 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Christopher BrownC241996-02-22Yes179 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoNHL Link
Cody GoloubefD311989-11-30No190 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dakota MermisD271994-01-05No195 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Gabriel FontaineLW231997-04-30No201 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Glenn GawdinC231997-03-25No191 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jakub LaukoC202000-03-28Yes169 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Jean-Sebastien DeaC261994-02-08No168 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joakim RyanD271993-06-17No185 Lbs5 ft11NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jonathan AspirotD241996-05-16No200 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan SchmaltzD271993-10-08No196 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joshua Ho-SangRW241996-01-22No173 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Kirill UstimenkoG211999-01-29Yes187 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Kole LindRW221998-10-16No178 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Kyle CumiskeyD341986-12-02No180 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Logan O'ConnorRW241996-08-14No175 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lukas RadilC301990-08-05No205 Lbs6 ft4NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
MacKenzie EntwistleRW211999-07-14Yes184 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Martin KautRW211999-10-02No190 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Matt ReadRW341986-06-14No188 Lbs5 ft10NoNoNo1UFAPro & Farm2,150,000$0$0$NoLink / NHL Link
Max McCormickLW281992-05-01No188 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael PrapavessisD291991-06-01No193 Lbs6 ft1NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mikey AndersonD211999-05-25No197 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Nate SchnarrC211999-02-25Yes180 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Noah DobsonD212000-01-07Yes184 Lbs6 ft4NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Taylor FedunD321988-06-04No200 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Tobias BjornfotD192001-04-06Yes202 Lbs6 ft0NoNoNo1ELCPro & Farm0$0$NoNHL Link
Urho VaakanainenD221999-01-01No185 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Vladislav KamenevC241996-08-12No194 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Xavier OuelletD271993-07-29No193 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3624.94189 Lbs6 ft12.58490,278$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt Read40122
2Glenn GawdinLukas Radil30122
3Dakota MermisJoshua Ho-Sang20122
4Glenn GawdinLukas Radil10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joakim Ryan40122
2Xavier OuelletTaylor Fedun30122
3Urho Vaakanainen20122
4Dakota MermisMikey Anderson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt Read60122
2Glenn GawdinLukas Radil40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joakim Ryan60122
2Xavier OuelletTaylor Fedun40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lukas Radil60122
2Matt Read40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joakim Ryan60122
2Xavier OuelletTaylor Fedun40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Joakim Ryan60122
2Lukas Radil40122Xavier OuelletTaylor Fedun40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lukas Radil60122
2Matt Read40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joakim Ryan60122
2Xavier OuelletTaylor Fedun40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt ReadJoakim Ryan
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt ReadJoakim Ryan
Extra Forwards
Normal PowerPlayPenalty Kill
, Joshua Ho-Sang, , Joshua Ho-Sang
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Schmaltz, Jonathan Aspirot, Tobias BjornfotJordan SchmaltzJonathan Aspirot, Tobias Bjornfot
Penalty Shots
, Lukas Radil, , Matt Read,
Goalie
#1 : Chris Driedger, #2 :


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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.
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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
6892W6183320503177316214907381211219
All Games
GPWLOTWOTL SOWSOLGFGA
6841201123183124
Home Games
GPWLOTWOTL SOWSOLGFGA
3323711109851
Visitor Games
GPWLOTWOTL SOWSOLGFGA
35181300138573
Last 10 Games
WLOTWOTL SOWSOL
910000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3486318.10%3044186.51%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
644571545346463535
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
973200248.60%849205741.27%43595045.79%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
177312991553462783405


Last Played Games
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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
1 - 2020-10-182Wolf Pack3Senators2LBoxScore
4 - 2020-10-2133Wolf Pack0Senators1WBoxScore
5 - 2020-10-2246Senators1Crunch2LBoxScore
7 - 2020-10-2465Senators7Moose0WBoxScore
8 - 2020-10-2575Wolf Pack2Senators3WBoxScore
10 - 2020-10-2795Devils2Senators0LBoxScore
13 - 2020-10-30113Senators4Wolf Pack2WBoxScore
14 - 2020-10-31125Barracuda4Senators1LBoxScore
15 - 2020-11-01139Senators3Bruins1WBoxScore
19 - 2020-11-05160Reign3Senators6WBoxScore
22 - 2020-11-08185Senators2Monsters0WBoxScore
23 - 2020-11-09194Bears0Senators2WBoxScore
26 - 2020-11-12208Senators4Bears3WBoxScore
28 - 2020-11-14222Roadrunners2Senators3WBoxScore
29 - 2020-11-15232Senators3Penguins1WBoxScore
32 - 2020-11-18249Senators4Gulls1WBoxScore
33 - 2020-11-19259Rocket1Senators2WXXBoxScore
36 - 2020-11-22283Roadrunners1Senators3WBoxScore
38 - 2020-11-24296Senators0Thunderbirds2LBoxScore
39 - 2020-11-25316Stars3Senators1LBoxScore
44 - 2020-11-30343Senators1Wolves4LBoxScore
45 - 2020-12-01349Marlies4Senators2LBoxScore
47 - 2020-12-03371Senators1Marlies2LBoxScore
48 - 2020-12-04379Rampage0Senators1WBoxScore
52 - 2020-12-08399Senators3Devils0WBoxScore
53 - 2020-12-09411IceHogs0Senators3WBoxScore
56 - 2020-12-12429Senators1Stars2LXXBoxScore
57 - 2020-12-13444Comets1Senators3WBoxScore
59 - 2020-12-15459Senators0Bears4LBoxScore
61 - 2020-12-17474Americans4Senators3LXBoxScore
63 - 2020-12-19487Senators0Americans2LBoxScore
64 - 2020-12-20505Condors3Senators5WBoxScore
66 - 2020-12-22521Senators2Griffins1WBoxScore
67 - 2020-12-23533Thunderbirds3Senators4WXBoxScore
69 - 2020-12-25543Senators1Rampage4LBoxScore
72 - 2020-12-28553Senators2Crunch4LBoxScore
74 - 2020-12-30567Senators4Condors3WBoxScore
76 - 2021-01-01576Checkers0Senators1WBoxScore
79 - 2021-01-04602Moose0Senators4WBoxScore
81 - 2021-01-06618Senators2Rocket3LBoxScore
82 - 2021-01-07630Monsters1Senators4WBoxScore
86 - 2021-01-11650Senators2Wolf Pack1WXXBoxScore
89 - 2021-01-14664Penguins1Senators3WBoxScore
90 - 2021-01-15683Senators1Roadrunners4LBoxScore
93 - 2021-01-18690Senators3Heat5LBoxScore
94 - 2021-01-19702Wolf Pack0Senators2WBoxScore
97 - 2021-01-22722Wild4Senators2LBoxScore
98 - 2021-01-23735Senators2Penguins7LBoxScore
100 - 2021-01-25751Senators3Gulls4LXXBoxScore
102 - 2021-01-27762Sound Tigers2Senators0LBoxScore
105 - 2021-01-30785Barracuda2Senators7WBoxScore
107 - 2021-02-01800Senators5IceHogs1WBoxScore
109 - 2021-02-03815Senators2Barracuda3LXXBoxScore
110 - 2021-02-04825Eagles0Senators5WBoxScore
115 - 2021-02-09850Eagles0Senators7WBoxScore
117 - 2021-02-11868Reign0Senators5WBoxScore
118 - 2021-02-12879Senators2Checkers0WBoxScore
121 - 2021-02-15899Senators2Moose1WBoxScore
123 - 2021-02-17906Senators2Sound Tigers0WBoxScore
125 - 2021-02-19914Senators2Reign0WBoxScore
126 - 2021-02-20923Bruins2Senators3WBoxScore
128 - 2021-02-22941Senators2Admirals3LBoxScore
129 - 2021-02-23955Griffins0Senators1WBoxScore
132 - 2021-02-26971Senators5Reign3WBoxScore
133 - 2021-02-27983Crunch1Senators5WBoxScore
135 - 2021-03-011000Senators5Eagles0WBoxScore
136 - 2021-03-021014Wolves2Senators4WBoxScore
139 - 2021-03-051034Senators2Bruins0WBoxScore
140 - 2021-03-061047Crunch-Senators-
143 - 2021-03-091064Senators-Comets-
144 - 2021-03-101077Senators-Monsters-
145 - 2021-03-111082Devils-Senators-
148 - 2021-03-141107Bears-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2021-03-171120Senators-Sound Tigers-
153 - 2021-03-191131Senators-Wild-
155 - 2021-03-211144Heat-Senators-
158 - 2021-03-241171Gulls-Senators-
161 - 2021-03-271196Phantoms-Senators-
167 - 2021-04-021222Admirals-Senators-
168 - 2021-04-031231Senators-Phantoms-
170 - 2021-04-051246Sound Tigers-Senators-
171 - 2021-04-061249Senators-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance62,79331,317
Attendance PCT95.14%94.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
8 2852 - 95.06% 71,134$2,347,407$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
924,912$ 176,500$ 28,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 139,562$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
569,068$ 38 6,647$ 252,586$




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
1282343904302220229-941161902202100101-141182002100120128-88122037459427081726321230691610803203657297916445169618.60%4086185.05%21318243554.13%1151239748.02%567116448.71%205014721937569953481
1376481602136239133106382110001151137142382760202112662641132394206592130966474196906486166911546466114017144087618.63%4745189.24%51218226453.80%1119212152.76%585105155.66%212315251571520914491
1476411903328234165693820702225128794938211201103106862010323442565908085628222120726716742165245876113523757520.00%3095083.82%31384238957.93%1182209156.53%624109057.25%212415541591516906484
156841200112318312459332370111098514735181300013857312921833205032196463535177364457154534162149073812113486318.10%3044186.51%3973200248.60%849205741.27%43595045.79%177312991553462783405
Total Regular Season302164940108719876651225150804305641243930213715284510523743734988389876153924156476432525122480776442636248722706855198636185921164731018.82%149520386.42%134893909053.83%4301866649.63%2211425551.96%807158526654206935581862
Playoff
1117980000038362945000002019185300000181711838691070001912639701341231274231183213691101311.82%1431788.11%130153356.47%25555046.36%13824157.26%440306429130210105
131916300000523220108200000291712981000002315832528713904011211742701221381334591273403791392115.11%1481291.89%229261047.87%31667746.68%11925546.67%485326496156243122
146240000089-1312000006603120000023-1481624010142129031534416140731252428.33%29293.10%09619250.00%9218749.20%397850.00%13894149447638
Total Playoff4227150000098772122139000005542132014600000433585498172270050313725953028731430410432857348732733613.19%3203190.31%3689133551.61%663141446.89%29657451.57%10647271074331531267