Senators

GP: 80 | W: 27 | L: 52 | OTL: 1 | P: 55
GF: 338 | GA: 521 | PP%: 32.65% | PK%: 44.41%
GM : Philippe Langevin | Morale : 40 | Team Overall : 72
Next Games #806 vs Intrepides
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
1Andrew Copp (R)XX100.00816996838479877373747189537275070740
2Colton Sissons (R)XXX100.00886789848482887285737185537376050740
3Devin ShoreXX100.00766596828281887560767377557075070730
4Zack Kassian (R)X100.00898574879077777050697074537676070720
5Drake Caggiula (R)X100.00926788888079717250677775587073070720
6Tyson Jost (R)X100.00706591887880697352697674576871070710
7Nic Petan (R)X100.00605991877574356558607074536870070660
8Joe Morrow (R)X100.00856790838282617150707168537071070710
Scratches
TEAM AVERAGE100.0080688985827972716070727754717306872
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
Bill Peters76808197756899USA515605,000$


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 GP 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
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


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
Andrew CoppSenators (RDS)C/LW241995-03-23 03:26:19Yes206 Lbs6 ft1NoNoNo2ELCPro & Farm1,000,000$0$0$No
Colton SissonsSenators (RDS)C/LW/RW251994-03-22 21:26:19Yes200 Lbs6 ft1NoNoNo2ELCPro & Farm625,000$0$0$No
Devin ShoreSenators (RDS)C/LW241995-03-23 03:26:19No205 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$No
Drake CaggiulaSenators (RDS)LW241995-03-23 03:26:19Yes185 Lbs5 ft10NoNoNo1ELCPro & Farm1,350,000$0$0$No
Joe MorrowSenators (RDS)D261992-12-09 06:56:24Yes196 Lbs6 ft0NoNoNo1ELCPro & Farm650,000$0$0$No
Nic PetanSenators (RDS)LW231996-03-22 09:26:19Yes179 Lbs5 ft9NoNoNo1ELCPro & Farm863,000$0$0$No
Tyson JostSenators (RDS)C211998-03-14 07:09:18Yes191 Lbs5 ft11NoNoNo3ELCPro & Farm1,704,167$0$0$No
Zack KassianSenators (RDS)RW271992-03-22 09:26:19Yes214 Lbs6 ft3NoNoNo3RFAPro & Farm1,950,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
824.25197 Lbs6 ft01.751,133,396$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
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
1Chiefs413000001621-521100000911-220200000710-320.250162844005713114467343568569181062630549111.11%15753.33%140599840.58%484132836.45%706178839.49%141276620067981387600
2Cobra513010001921-2312000001012-22010100099040.40019355400571311446111435685691813244267612433.33%13561.54%140599840.58%484132836.45%706178839.49%141276620067981387600
3Cyclone4220000025214211000001312121100000129340.50025477200571311446964356856918109415256141071.43%26965.38%240599840.58%484132836.45%706178839.49%141276620067981387600
4Destroyers606000001550-3520200000315-12404000001235-2300.0001530450057131144614343568569182137092727114.29%312035.48%040599840.58%484132836.45%706178839.49%141276620067981387600
5Distraction404000001328-1520200000713-620200000615-900.000132538005713114461074356856918153503143500.00%13746.15%140599840.58%484132836.45%706178839.49%141276620067981387600
6Dynamos541000002214832100000141042200000084480.8002240620057131144611843568569188946207313538.46%10460.00%040599840.58%484132836.45%706178839.49%141276620067981387600
7Falcons422000002026-621100000811-3211000001215-340.5002040600057131144696435685691817153355511218.18%151033.33%040599840.58%484132836.45%706178839.49%141276620067981387600
8Intrepides30300000920-1120200000411-71010000059-400.00091726005713114467543568569181113223305120.00%9811.11%040599840.58%484132836.45%706178839.49%141276620067981387600
9L'Euphorie412010001828-1021001000139420200000519-1440.500183351005713114467943568569181685134666116.67%181233.33%040599840.58%484132836.45%706178839.49%141276620067981387600
10Monkeys 403010001536-21201010001216-420200000320-1720.250152843005713114468043568569182356045538450.00%201525.00%140599840.58%484132836.45%706178839.49%141276620067981387600
11Monsters504010001831-13302010001013-320200000818-1020.20018355300571311446103435685691823889336514535.71%14657.14%140599840.58%484132836.45%706178839.49%141276620067981387600
12Patriotes514000002542-17202000001016-6312000001526-1120.20025497400571311446125435685691818466476021419.05%211242.86%140599840.58%484132836.45%706178839.49%141276620067981387600
13Prospects412001001529-1421100000811-320100100718-1130.37515294400571311446854356856918168461026313430.77%211147.62%040599840.58%484132836.45%706178839.49%141276620067981387600
14Sharks413000001631-15211000001215-320200000416-1220.250163046005713114467443568569181705940369333.33%201050.00%140599840.58%484132836.45%706178839.49%141276620067981387600
15Sheriefs4400000023121122000000107322000000135881.0002343660057131144611243568569187424167311436.36%8362.50%040599840.58%484132836.45%706178839.49%141276620067981387600
Total80215206100338521-18340132205000178232-544083001100160289-129550.3443386409780057131144618194356856918286392774711041966432.65%31317444.41%1140599840.58%484132836.45%706178839.49%141276620067981387600
17Viking404000001743-2620200000922-1320200000821-1300.0001733500057131144610843568569181855839609222.22%181516.67%140599840.58%484132836.45%706178839.49%141276620067981387600
18Warriors413000001428-1421100000813-520200000615-920.250142741005713114469143568569181223624566233.33%12741.67%140599840.58%484132836.45%706178839.49%141276620067981387600
19Wildcats312000001418-41100000065120200000813-520.333142640005713114466743568569189436324610660.00%16943.75%040599840.58%484132836.45%706178839.49%141276620067981387600
20Youngblood41102000242222000200012102211000001212060.7502445690057131144676435685691814140266713538.46%13469.23%040599840.58%484132836.45%706178839.49%141276620067981387600
_Since Last GM Reset80215206100338521-18340132205000178232-544083001100160289-129550.3443386409780057131144618194356856918286392774711041966432.65%31317444.41%1140599840.58%484132836.45%706178839.49%141276620067981387600
_Vs Conference41112802000170269-99206120200087117-30215160000083152-69260.31717032449400571311446925435685691814674873785441033433.01%1649045.12%740599840.58%484132836.45%706178839.49%141276620067981387600
_Vs Division215150100080137-571027010003754-171138000004383-40120.28680154234005713114464894356856918724271192270551527.27%764244.74%240599840.58%484132836.45%706178839.49%141276620067981387600

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8055OTW133864097818192863927747110400
All Games
GPWLOTWOTL SOWSOLGFGA
8021526100338521
Home Games
GPWLOTWOTL SOWSOLGFGA
4013225000178232
Visitor Games
GPWLOTWOTL SOWSOLGFGA
408301100160289
Last 10 Games
WLOTWOTL SOWSOL
271000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1966432.65%31317444.41%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4356856918571311446
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
40599840.58%484132836.45%706178839.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
141276620067981387600


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 - 2019-05-063Senators0Destroyers10LBoxScore
2 - 2019-05-0714Cobra5Senators6WBoxScore
5 - 2019-05-1029Senators1Warriors5LBoxScore
6 - 2019-05-1131Senators8Patriotes7WBoxScore
8 - 2019-05-1341Senators5Destroyers7LBoxScore
10 - 2019-05-1551Dynamos8Senators5LBoxScore
12 - 2019-05-1761Monsters5Senators2LBoxScore
14 - 2019-05-1971Warriors4Senators5WBoxScore
16 - 2019-05-2187Intrepides4Senators2LBoxScore
18 - 2019-05-2396Senators3L'Euphorie10LBoxScore
21 - 2019-05-26110Destroyers9Senators2LBoxScore
22 - 2019-05-27112Senators6Prospects7LXBoxScore
24 - 2019-05-29127Cobra3Senators2LBoxScore
26 - 2019-05-31138Dynamos1Senators4WBoxScore
28 - 2019-06-02141Senators7Sheriefs2WBoxScore
30 - 2019-06-04156Senators2Monkeys 10LBoxScore
33 - 2019-06-07170Senators3Viking12LBoxScore
34 - 2019-06-08176Sharks9Senators5LBoxScore
36 - 2019-06-10184Intrepides7Senators2LBoxScore
38 - 2019-06-12200Senators4Chiefs5LBoxScore
40 - 2019-06-14205Senators3Distraction8LBoxScore
42 - 2019-06-16214Sharks6Senators7WBoxScore
45 - 2019-06-19228Destroyers6Senators1LBoxScore
47 - 2019-06-21238Senators2L'Euphorie9LBoxScore
48 - 2019-06-22245Senators1Prospects11LBoxScore
50 - 2019-06-24258Monsters5Senators4LBoxScore
53 - 2019-06-27269Senators3Destroyers10LBoxScore
54 - 2019-06-28274Senators1Monkeys 10LBoxScore
56 - 2019-06-30281Senators5Warriors10LBoxScore
58 - 2019-07-02291Chiefs8Senators3LBoxScore
60 - 2019-07-04302Warriors9Senators3LBoxScore
62 - 2019-07-06318Prospects7Senators2LBoxScore
64 - 2019-07-08324Dynamos1Senators5WBoxScore
66 - 2019-07-10338Senators2Wildcats6LBoxScore
68 - 2019-07-12347L'Euphorie5Senators6WXBoxScore
71 - 2019-07-15359Senators7Cyclone3WBoxScore
73 - 2019-07-17368Youngblood5Senators6WXBoxScore
75 - 2019-07-19377Senators5Viking9LBoxScore
76 - 2019-07-20387Monsters3Senators4WXBoxScore
78 - 2019-07-22400Senators6Sheriefs3WBoxScore
79 - 2019-07-23407Senators3Dynamos2WBoxScore
81 - 2019-07-25417Chiefs3Senators6WBoxScore
84 - 2019-07-28429Distraction8Senators4LBoxScore
85 - 2019-07-29441Senators5Dynamos2WBoxScore
87 - 2019-07-31450Distraction5Senators3LBoxScore
88 - 2019-08-01459Senators4Destroyers8LBoxScore
90 - 2019-08-03470Prospects4Senators6WBoxScore
91 - 2019-08-04481Sheriefs5Senators6WBoxScore
93 - 2019-08-06492Senators4Cobra5LBoxScore
95 - 2019-08-08501Monkeys 7Senators2LBoxScore
97 - 2019-08-10510Senators3Distraction7LBoxScore
99 - 2019-08-12521Senators4Patriotes10LBoxScore
100 - 2019-08-13528Patriotes5Senators3LBoxScore
102 - 2019-08-15539Senators8Youngblood7WBoxScore
103 - 2019-08-16549Senators3Patriotes9LBoxScore
104 - 2019-08-17556Monkeys 9Senators10WXBoxScore
106 - 2019-08-19567Senators6Wildcats7LBoxScore
108 - 2019-08-21574Viking14Senators4LBoxScore
109 - 2019-08-22587Falcons9Senators3LBoxScore
112 - 2019-08-25602Cyclone7Senators5LBoxScore
113 - 2019-08-26609Senators3Chiefs5LBoxScore
115 - 2019-08-28620Sheriefs2Senators4WBoxScore
116 - 2019-08-29631Senators5Cobra4WXBoxScore
118 - 2019-08-31643Viking8Senators5LBoxScore
119 - 2019-09-01652Senators4Youngblood5LBoxScore
120 - 2019-09-02656Senators7Falcons6WBoxScore
121 - 2019-09-03666L'Euphorie4Senators7WBoxScore
123 - 2019-09-05679Senators5Monsters10LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
124 - 2019-09-06689Cyclone5Senators8WBoxScore
126 - 2019-09-08698Senators5Cyclone6LBoxScore
127 - 2019-09-09709Cobra4Senators2LBoxScore
128 - 2019-09-10719Senators2Sharks9LBoxScore
130 - 2019-09-12727Senators5Falcons9LBoxScore
131 - 2019-09-13736Falcons2Senators5WBoxScore
132 - 2019-09-14743Senators3Monsters8LBoxScore
134 - 2019-09-16749Senators2Sharks7LBoxScore
135 - 2019-09-17758Patriotes11Senators7LBoxScore
138 - 2019-09-20771Wildcats5Senators6WBoxScore
139 - 2019-09-21785Senators5Intrepides9LBoxScore
141 - 2019-09-23796Youngblood5Senators6WXBoxScore
143 - 2019-09-25806Senators-Intrepides-
145 - 2019-09-27815Wildcats-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
1 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,456,144$ 906,717$ 530,417$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
6,210$ 867,696$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 4 10,354$ 41,416$




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
201880215206100338521-18340132205000178232-544083001100160289-129553386409780057131144618194356856918286392774711041966432.65%31317444.41%1140599840.58%484132836.45%706178839.49%141276620067981387600
Total Regular Season80215206100338521-18340132205000178232-544083001100160289-129553386409780057131144618194356856918286392774711041966432.65%31317444.41%1140599840.58%484132836.45%706178839.49%141276620067981387600
Playoff
2017945000003745-8422000001315-2523000002430-68376810510214210226377811102659810311326830.77%311745.16%34512436.29%4713036.15%7619738.58%154872239516164
Total Playoff945000003745-8422000001315-2523000002430-68376810510214210226377811102659810311326830.77%311745.16%34512436.29%4713036.15%7619738.58%154872239516164