Senators

GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9
GF: 24 | GA: 26 | PP%: 20.41% | PK%: 83.33%
GM : Farlou Ferland | Morale : 50 | Team Overall : N/A
Next Games #95 vs Marlies
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Alexander Volkov (R)XX100.00757183647181866350625867555555655000
2Filip ChlapikX100.00884589777252826239605959535757645000
3Joel Farabee (R)X100.00678179846367646734706863534949695000
4Jack RoslovicXX100.00714394796968917049697056256263705000
5Marko DanoXX100.00687551767567715650574763455858575000
6Michael McLeodX100.00814489797056855974635572254747645000
7Kevin RooneyX100.00786887687359816073605887255656665000
8Ryan DzingelXX100.00676286827167887535766463256465695000
9Matthew PecaXXX100.00764399826156626077625575255151655000
10Tyson JostXX100.00734389856963907251676267256162685000
11Michael Dal ColleXX100.00804492667461756056605862255556635000
12Christian JarosX100.00764486637655725325574765255454595000
13Christian WolaninX100.00727078797055594525284362415757515000
14Jake DotchinX100.00707949657956594825394061385656515000
15Dante Fabbro (R)X100.00714283866877706325484970255151614500
16Carl DahlstromX100.00614387618665586125464773755959575000
Scratches
1Andreas EnglundX100.00899585747455765725504763635757595000
TEAM AVERAGE100.0074588375726275614357556638565662500
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Gomez59655659595586USA423850,000$


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
1Carl DahlstromSenators (OTT)D83692807121131427.27%512315.4613482700002000.00%000001.4500000110
2Michael McLeodSenators (OTT)C853818013252442220.83%314918.660224131013201064.41%11800001.0700000011
3Filip ChlapikSenators (OTT)C8257-3001314275147.41%115419.3403311330000160049.25%13400000.9100000000
4Joel FarabeeSenators (OTT)LW8347060121627101111.11%416420.621348380000272055.56%900000.8501000011
5Jack RoslovicSenators (OTT)C/RW84371606191941321.05%217421.812243371012270246.85%22200000.8001000200
6Marko DanoSenators (OTT)LW/RW8347-5409151882316.67%015018.76224536000050060.00%1000000.9300000002
7Dante FabbroSenators (OTT)D6325-460146133823.08%311018.3831483100001100.00%000000.9100000110
8Michael Dal ColleSenators (OTT)LW/RW80331120158116120.00%314618.260004360221110060.00%1500000.4100000001
9Christian WolaninSenators (OTT)D8011020452130.00%08110.170001400000000.00%000000.2500000000
10Jake DotchinSenators (OTT)D8000080931050.00%4779.720000000000000.00%000000.0000000000
Team Total or Average78233154-76001021231534412515.03%25133217.09916255225822461124252.36%50800000.8102000445
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
Team Total or Average0.0000.0000.000


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alexander VolkovSenators (OTT)LW/RW221997-08-02Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Andreas EnglundSenators (OTT)D241996-01-21No189 Lbs6 ft3NoNoNo4Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$700,000$Link
Carl DahlstromSenators (OTT)D251995-01-28No231 Lbs6 ft4NoNoNo1Pro & Farm925,000$828,024$925,000$828,024$0$0$NoLink
Christian JarosSenators (OTT)D241996-04-02No201 Lbs6 ft3NoNoNo2Pro & Farm755,000$675,847$450,000$402,823$0$0$No755,000$Link
Christian WolaninSenators (OTT)D251995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$828,024$450,000$402,823$0$0$No925,000$Link
Dante FabbroSenators (OTT)D221998-06-20Yes189 Lbs6 ft0NoNoNo3Pro & Farm1,491,666$1,335,282$1,491,666$1,335,282$0$0$No1,491,666$1,491,666$
Filip ChlapikSenators (OTT)C231997-06-03No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$828,024$925,000$828,024$0$0$NoLink
Jack RoslovicSenators (OTT)C/RW231997-01-28No187 Lbs6 ft1NoNoNo1Pro & Farm900,000$805,645$900,000$805,645$0$0$NoLink
Jake DotchinSenators (OTT)D261994-03-24No210 Lbs6 ft3NoNoNo4Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$700,000$Link
Joel FarabeeSenators (OTT)LW202000-02-24Yes164 Lbs6 ft0NoNoNo3Pro & Farm1,425,000$1,275,605$1,425,000$1,275,605$0$0$No1,425,000$1,425,000$
Kevin RooneySenators (OTT)C271993-05-21No190 Lbs6 ft2NoNoNo3Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$700,000$Link
Marko DanoSenators (OTT)LW/RW251994-11-30No212 Lbs5 ft11NoNoNo2Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$Link
Matthew PecaSenators (OTT)C/LW/RW271993-04-27No178 Lbs5 ft8NoNoNo3Pro & Farm1,300,000$1,163,710$1,300,000$1,163,710$0$0$No1,300,000$1,300,000$Link
Michael Dal ColleSenators (OTT)LW/RW241996-06-19No198 Lbs6 ft3NoNoNo2Pro & Farm700,000$626,613$700,000$626,613$0$0$No700,000$Link
Michael McLeodSenators (OTT)C221998-02-03No187 Lbs6 ft2NoNoNo2Pro & Farm1,363,333$1,220,403$450,000$402,823$0$0$No1,363,333$Link
Ryan DzingelSenators (OTT)LW/RW281992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,611,290$1,800,000$1,611,290$0$0$No1,800,000$Link
Tyson JostSenators (OTT)C/LW221998-03-14No191 Lbs5 ft11NoNoNo4Pro & Farm1,673,333$1,497,903$1,673,333$1,497,903$0$0$No1,673,333$1,673,333$1,673,333$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1724.06193 Lbs6 ft12.471,066,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel FarabeeJack RoslovicMichael Dal Colle35122
2Marko DanoFilip Chlapik30122
3Michael McLeod25122
4Joel FarabeeJack RoslovicFilip Chlapik10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dante Fabbro35122
2Carl Dahlstrom30122
3Christian WolaninJake Dotchin25122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel FarabeeJack RoslovicMichael Dal Colle60122
2Marko DanoFilip Chlapik40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dante Fabbro60122
2Carl Dahlstrom40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jack RoslovicJoel Farabee60122
2Filip ChlapikMichael McLeod40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Dante FabbroCarl Dahlstrom40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jack Roslovic6012260122
2Joel Farabee40122Dante FabbroCarl Dahlstrom40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jack RoslovicJoel Farabee60122
2Filip ChlapikMichael McLeod40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Dante FabbroCarl Dahlstrom40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeJack RoslovicMichael Dal Colle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeJack RoslovicMichael Dal Colle
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Dal Colle, Marko Dano, Michael McLeodMichael Dal Colle, Marko DanoMichael McLeod
Extra Defensemen
Normal PowerPlayPenalty Kill
Christian Wolanin, Jake Dotchin, Christian WolaninJake Dotchin,
Penalty Shots
Jack Roslovic, Joel Farabee, Filip Chlapik, Michael McLeod, Michael Dal Colle
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Griffins311000011014-4210000018801010000026-430.50010172700126517366525297623305520525.00%14378.57%111221651.85%10119053.16%6212450.00%196140193579648
2Marlies21100000431110000003121010000012-120.50047110012651556652529337163012216.67%8187.50%011221651.85%10119053.16%6212450.00%196140193579648
3Rocket311010001091110000004222010100067-140.66710132300126514966525294817305517317.65%14285.71%111221651.85%10119053.16%6212450.00%196140193579648
Total833010012426-2430000011511440301000915-690.563243761001265117766525291574776140491020.41%36683.33%211221651.85%10119053.16%6212450.00%196140193579648
_Since Last GM Reset833010012426-2430000011511440301000915-690.563243761001265117766525291574776140491020.41%36683.33%211221651.85%10119053.16%6212450.00%196140193579648
_Vs Conference5220100014122220000007343020100079-260.600142034001265110466525298124468529517.24%22386.36%111221651.85%10119053.16%6212450.00%196140193579648
_Vs Division822010002426-2420000001511440201000915-660.375243761001265117766525291574776140491020.41%36683.33%211221651.85%10119053.16%6212450.00%196140193579648

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
89W1243761177157477614000
All Games
GPWLOTWOTL SOWSOLGFGA
83310012426
Home Games
GPWLOTWOTL SOWSOLGFGA
43000011511
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4031000915
Last 10 Games
WLOTWOTL SOWSOL
430001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
491020.41%36683.33%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
665252912651
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11221651.85%10119053.16%6212450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
196140193579648


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
1 - 2020-09-278Senators2Griffins6LBoxScore
2 - 2020-09-2816Rocket2Senators4WBoxScore
4 - 2020-09-3024Senators3Rocket5LBoxScore
5 - 2020-10-0138Griffins4Senators3LXXBoxScore
6 - 2020-10-0251Marlies1Senators3WBoxScore
8 - 2020-10-0458Senators3Rocket2WXBoxScore
10 - 2020-10-0671Senators1Marlies2LBoxScore
12 - 2020-10-0884Griffins4Senators5WBoxScore
14 - 2020-10-1095Marlies-Senators-
16 - 2020-10-12105Senators-Griffins-
18 - 2020-10-14112Rocket-Senators-
21 - 2020-10-17133Crunch-Senators-
22 - 2020-10-18136Senators-Bruins-
23 - 2020-10-19152Senators-Crunch-
24 - 2020-10-20157Bruins-Senators-
26 - 2020-10-22177Sound Tigers-Senators-
27 - 2020-10-23181Senators-Wolf Pack-
28 - 2020-10-24194Senators-Rocket-
31 - 2020-10-27206Senators-Phantoms-
32 - 2020-10-28215IceHogs-Senators-
34 - 2020-10-30227Penguins-Senators-
36 - 2020-11-01231Senators-Stars-
38 - 2020-11-03245Soldiers-Senators-
40 - 2020-11-05258Senators-Monsters-
43 - 2020-11-08272Rocket-Senators-
44 - 2020-11-09281Senators-Bruins-
45 - 2020-11-10289Senators-Crunch-
46 - 2020-11-11301Phantoms-Senators-
48 - 2020-11-13312Senators-Crunch-
49 - 2020-11-14321Moose-Senators-
50 - 2020-11-15333Senators-Griffins-
51 - 2020-11-16341Senators-Flames-
52 - 2020-11-17350Griffins-Senators-
53 - 2020-11-18357Senators-Bruins-
55 - 2020-11-20374Marlies-Senators-
56 - 2020-11-21388Bruins-Senators-
58 - 2020-11-23401Admirals-Senators-
59 - 2020-11-24410Senators-Admirals-
60 - 2020-11-25420Senators-Wolves-
61 - 2020-11-26428Senators-IceHogs-
63 - 2020-11-28437Senators-Sharks-
64 - 2020-11-29444Bruins-Senators-
66 - 2020-12-01460Penguins-Senators-
67 - 2020-12-02471Senators-Monarchs-
68 - 2020-12-03480Crunch-Senators-
70 - 2020-12-05491Senators-Marlies-
71 - 2020-12-06502Rampage-Senators-
72 - 2020-12-07515Senators-Penguins-
74 - 2020-12-09521Senators-Condors-
75 - 2020-12-10532Bruins-Senators-
77 - 2020-12-12547Marlies-Senators-
78 - 2020-12-13557Senators-Rocket-
79 - 2020-12-14569Crunch-Senators-
80 - 2020-12-15576Senators-Monsters-
82 - 2020-12-17589Monsters-Senators-
85 - 2020-12-20604Senators-Sound Tigers-
86 - 2020-12-21612Moose-Senators-
87 - 2020-12-22623Senators-Soldiers-
88 - 2020-12-23635Senators-Moose-
90 - 2020-12-25643Rocket-Senators-
92 - 2020-12-27658Griffins-Senators-
93 - 2020-12-28667Senators-Penguins-
94 - 2020-12-29674Senators-Crunch-
95 - 2020-12-30682Sound Tigers-Senators-
96 - 2020-12-31700Flames-Senators-
97 - 2021-01-01711Senators-Griffins-
99 - 2021-01-03722Stars-Senators-
100 - 2021-01-04729Senators-Griffins-
102 - 2021-01-06744Monarchs-Senators-
104 - 2021-01-08760Senators-Bruins-
105 - 2021-01-09769Phantoms-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
106 - 2021-01-10784Condors-Senators-
108 - 2021-01-12798Wolf Pack-Senators-
110 - 2021-01-14809Senators-Rampage-
111 - 2021-01-15816Senators-Wolf Pack-
112 - 2021-01-16829Rampage-Senators-
114 - 2021-01-18844Wolves-Senators-
117 - 2021-01-21863Sharks-Senators-
118 - 2021-01-22870Senators-Marlies-
119 - 2021-01-23878Senators-Stars-
120 - 2021-01-24887Senators-Marlies-
122 - 2021-01-26896Crunch-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
37 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
275,608$ 1,813,333$ 1,644,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 186,503$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 111 21,478$ 2,384,058$




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
2020833010012426-2430000011511440301000915-69243761001265117766525291574776140491020.41%36683.33%211221651.85%10119053.16%6212450.00%196140193579648
Total Regular Season833010012426-2430000011511440301000915-69243761001265117766525291574776140491020.41%36683.33%211221651.85%10119053.16%6212450.00%196140193579648