Barracuda

GP: 50 | W: 19 | L: 27 | OTL: 4 | P: 42
GF: 195 | GA: 212 | PP%: 22.54% | PK%: 75.17%
GM : Daniel Pelletier | Morale : 75 | Team Overall : 61
Next Games #773 vs Gulls

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
1Brooks MacekXX100.005135936557928964706362576373675875630
2Matt PuempelXXX100.006245896478827962576161636573676975630
3Anthony AngelloX100.006850865991787958535760615867645375620
4Tomas HykaXX100.005235936365786562566461585971665375620
5Mike VecchioneXX100.005547896069888961665859566173675875610
6Luke Philp (R)X100.005442856059858458645561535969656275600
7Philipp KurashevX100.005841886172787759716056596061636975600
8Henrik SamuelssonXXX100.007339835487837753595351585369657775590
9Adam ClendeningX100.005950816372817762306458635475686375630
10Colton WhiteX100.006343876274817861305957585365636275610
11Kristians RubinsX100.007845825794767556305551604567646175600
12Peter StoykewychX100.006245855678807754305352554575785775590
13Hubert LabrieX100.005349825568868756305450574577695675580
14Joseph Cecconi (R)X100.006845895482858753305250564564605775580
Scratches
TEAM AVERAGE100.00614487607582805948585658557066617561
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
1Scott Wedgewood100.00698583806867696867696875815375630
Scratches
TEAM AVERAGE100.0069858380686769686769687581537563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ian Laperriere69706864696479CAN4612,000,000$


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
1Matt PuempelBarracuda (SJS)C/LW/RW5027336002401602352586715210.47%28122824.5738112810900031413150.06%174800000.9803000442
2Brooks MacekBarracuda (SJS)C/RW50183856112053125220701688.18%22124024.8159142710900051550057.14%11900000.9013000451
3Tomas HykaBarracuda (SJS)LW/RW50233356-218054861775813012.99%799719.95681422109000082053.03%6600011.1211000343
4Mike VecchioneBarracuda (SJS)C/RW50162945-108025190229601956.99%14104620.92369371160000381054.91%131300000.8600000111
5Henrik SamuelssonBarracuda (SJS)C/LW/RW50211940-9380167971896211611.11%14100020.02281033115000012251.43%7000010.8000000312
6Anthony AngelloBarracuda (SJS)RW50132538-129510863138391099.42%1173214.65000000000620046.51%4300001.0402001224
7Colton WhiteBarracuda (SJS)D5062834331526627514368.00%5184916.992353159000051010.00%000000.8000001002
8Adam ClendeningBarracuda (SJS)D3042529-918055586028526.67%5871623.902792171000060000.00%000000.8100000003
9Luke PhilpBarracuda (SJS)C501018280802810112026728.33%1268013.6200033000051148.68%90800000.8200000101
10Kristians RubinsBarracuda (SJS)D5072027140101284552164913.46%5085517.111341860000048100.00%000000.6300101013
11Philipp KurashevBarracuda (SJS)C50915242115518411448767.89%972914.5800000000000061.14%17500000.6600100001
12Peter StoykewychBarracuda (SJS)D503131608048262881810.71%2453010.620001400000000.00%000000.6000000001
13Joseph CecconiBarracuda (SJS)D5061016135558193051220.00%4552910.5800000000019300.00%000000.6000001110
14David GustafssonSharksC33459-3007213262512.50%32668.0800011000011157.69%5200000.6800000000
15Hubert LabrieBarracuda (SJS)D50055-8402719122130.00%252605.200001000009000.00%000000.3800000000
16Mario FerraroSharksD3000-4402054230.00%47625.620000300005000.00%000000.0000000000
Team Total or Average716167316483-382883010151236173851112269.61%3771174216.40245276223765000860914651.94%449400020.8229204191924
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam ClendeningD271992-10-26No189 Lbs6 ft0NoNoNo4RFAPro & Farm700,000$0$0$NoLink / NHL Link
Anthony AngelloRW241996-03-06No210 Lbs6 ft5NoNoNo2RFAPro & Farm833,750$0$0$NoLink / NHL Link
Brooks MacekC/RW281992-05-15No180 Lbs5 ft1NoNoNo1UFAPro & Farm650,000$0$0$NoLink / NHL Link
Colton WhiteD231997-05-03No185 Lbs6 ft1NoNoNo2RFAPro & Farm728,333$0$0$NoLink / NHL Link
Henrik SamuelssonC/LW/RW261994-02-07No219 Lbs6 ft3NoNoNo1RFAPro & Farm650,000$0$0$NoLink / NHL Link
Hubert LabrieD291991-07-12No180 Lbs5 ft11NoNoNo3UFAPro & Farm650,000$0$0$NoLink / NHL Link
Joseph CecconiD231997-05-23Yes210 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kristians RubinsD231996-12-11No221 Lbs6 ft5NoNoNo2RFAPro & Farm785,000$0$0$NoLink / NHL Link
Luke PhilpC241995-11-06Yes181 Lbs5 ft1NoNoNo2RFAPro & Farm817,500$0$0$NoLink / NHL Link
Matt PuempelC/LW/RW271993-01-24No201 Lbs6 ft1NoNoNo1RFAPro & Farm725,000$0$0$NoLink / NHL Link
Mike VecchioneC/RW271993-02-25No194 Lbs5 ft10NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Peter StoykewychD281992-07-14No190 Lbs6 ft2NoNoNo2UFAPro & Farm650,000$0$0$NoLink / NHL Link
Philipp KurashevC201999-10-12No190 Lbs6 ft0NoNoNo2ELCPro & Farm842,500$0$0$NoLink / NHL Link
Scott WedgewoodG281992-08-14No211 Lbs6 ft1NoNoNo1UFAPro & Farm600,000$0$0$NoLink / NHL Link
Tomas HykaLW/RW271993-03-23No160 Lbs5 ft11NoNoNo1RFAPro & Farm710,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1525.60195 Lbs6 ft01.80744,472$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tomas HykaMatt PuempelBrooks Macek40122
2Henrik SamuelssonMike Vecchione30122
3Philipp KurashevLuke PhilpAnthony Angello20122
4Matt PuempelPhilipp KurashevBrooks Macek10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Colton WhiteKristians Rubins30122
3Peter StoykewychJoseph Cecconi20122
4Hubert Labrie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tomas HykaMatt PuempelBrooks Macek60122
2Henrik SamuelssonMike Vecchione40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Colton WhiteKristians Rubins40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt PuempelBrooks Macek60122
2Anthony Angello40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Colton WhiteKristians Rubins40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Puempel6012260122
2Brooks Macek40122Colton WhiteKristians Rubins40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt PuempelBrooks Macek60122
2Anthony Angello40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Colton WhiteKristians Rubins40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tomas HykaMatt PuempelBrooks Macek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tomas HykaMatt PuempelBrooks Macek
Extra Forwards
Normal PowerPlayPenalty Kill
Luke Philp, Tomas Hyka, Mike VecchioneLuke Philp, Tomas HykaMike Vecchione
Extra Defensemen
Normal PowerPlayPenalty Kill
Peter Stoykewych, Joseph Cecconi, Hubert LabriePeter StoykewychJoseph Cecconi, Hubert Labrie
Penalty Shots
Matt Puempel, Brooks Macek, , Anthony Angello, Tomas Hyka
Goalie
#1 : , #2 :
Custom OT Lines Forwards
Matt Puempel, Brooks Macek, , Anthony Angello, Tomas Hyka, Mike Vecchione, Mike Vecchione, Luke Philp, Philipp Kurashev, Henrik Samuelsson,
Custom OT Lines Defensemen
, , Colton White, Kristians Rubins, Peter Stoykewych


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
5042W219535154619631908533380121511
All Games
GPWLOTWOTL SOWSOLGFGA
5016272212195212
Home Games
GPWLOTWOTL SOWSOLGFGA
251012010210599
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25615211090113
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1423222.54%1493775.17%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
616642678386266644
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
942190249.53%951179053.13%48188754.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11718131208363640313


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 - 2020-10-014Barracuda2Wolves5LBoxScore
3 - 2020-10-0317Wolves6Barracuda5LBoxScore
4 - 2020-10-0428Barracuda6Gulls4WBoxScore
7 - 2020-10-0741Barracuda1Admirals6LBoxScore
9 - 2020-10-0954Barracuda5IceHogs4WXBoxScore
12 - 2020-10-1277Heat8Barracuda7LXXBoxScore
15 - 2020-10-1597Checkers0Barracuda4WBoxScore
18 - 2020-10-18123Americans1Barracuda7WBoxScore
21 - 2020-10-21134Barracuda1Americans6LBoxScore
23 - 2020-10-23145Barracuda2Rocket5LBoxScore
24 - 2020-10-24156Barracuda5Marlies4WXXBoxScore
26 - 2020-10-26173Barracuda5Senators6LBoxScore
28 - 2020-10-28179Barracuda5Bruins7LBoxScore
31 - 2020-10-31203Moose2Barracuda5WBoxScore
32 - 2020-11-01216Comets2Barracuda7WBoxScore
35 - 2020-11-04234IceHogs3Barracuda2LBoxScore
37 - 2020-11-06247Wild6Barracuda4LBoxScore
39 - 2020-11-08262Admirals4Barracuda2LBoxScore
42 - 2020-11-11280Condors4Barracuda2LBoxScore
44 - 2020-11-13292Barracuda5Gulls4WBoxScore
46 - 2020-11-15313Griffins3Barracuda5WBoxScore
49 - 2020-11-18330Condors2Barracuda7WBoxScore
51 - 2020-11-20344Barracuda3Wolves4LXBoxScore
53 - 2020-11-22361Sound Tigers4Barracuda5WBoxScore
55 - 2020-11-24373Barracuda5Reign4WXBoxScore
57 - 2020-11-26389Moose6Barracuda2LBoxScore
59 - 2020-11-28393Reign3Barracuda2LXBoxScore
60 - 2020-11-29411Barracuda3Roadrunners4LBoxScore
63 - 2020-12-02433Bears6Barracuda5LBoxScore
65 - 2020-12-04443Barracuda1Checkers4LBoxScore
67 - 2020-12-06457Barracuda1Crunch4LBoxScore
68 - 2020-12-07464Barracuda5Thunderbirds7LBoxScore
70 - 2020-12-09475Barracuda3Admirals6LBoxScore
72 - 2020-12-11498Wolf Pack6Barracuda5LXXBoxScore
74 - 2020-12-13514Comets3Barracuda6WBoxScore
77 - 2020-12-16534Roadrunners6Barracuda1LBoxScore
81 - 2020-12-20564Rampage5Barracuda4LBoxScore
82 - 2020-12-21568Wolves4Barracuda2LBoxScore
87 - 2020-12-26592Reign6Barracuda5LBoxScore
88 - 2020-12-27601Phantoms4Barracuda6WBoxScore
91 - 2020-12-30620Barracuda5Griffins1WBoxScore
93 - 2021-01-01631Barracuda5Penguins2WBoxScore
95 - 2021-01-03642Barracuda3Monsters4LBoxScore
96 - 2021-01-04653Barracuda2Bears6LBoxScore
98 - 2021-01-06670Barracuda3Rampage5LBoxScore
100 - 2021-01-08688Monsters1Barracuda2WBoxScore
102 - 2021-01-10702Stars4Barracuda3LBoxScore
105 - 2021-01-13724Barracuda3Roadrunners6LBoxScore
107 - 2021-01-15738Barracuda5Eagles2WBoxScore
109 - 2021-01-17754Barracuda6Comets3WBoxScore
118 - 2021-01-26773Gulls-Barracuda-
120 - 2021-01-28781Comets-Barracuda-
123 - 2021-01-31805Crunch-Barracuda-
126 - 2021-02-03823Barracuda-Heat-
128 - 2021-02-05837Barracuda-Condors-
132 - 2021-02-09865Heat-Barracuda-
136 - 2021-02-13891Barracuda-Moose-
137 - 2021-02-14899Barracuda-Wild-
139 - 2021-02-16915Thunderbirds-Barracuda-
142 - 2021-02-19934Barracuda-Devils-
144 - 2021-02-21953Barracuda-Wolf Pack-
145 - 2021-02-22962Barracuda-Sound Tigers-
147 - 2021-02-24972Barracuda-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-02-26993Devils-Barracuda-
151 - 2021-02-281010Penguins-Barracuda-
154 - 2021-03-031028Marlies-Barracuda-
156 - 2021-03-051042Wild-Barracuda-
158 - 2021-03-071053Senators-Barracuda-
159 - 2021-03-081065Eagles-Barracuda-
162 - 2021-03-111079Barracuda-IceHogs-
164 - 2021-03-131094Barracuda-Rampage-
165 - 2021-03-141106Barracuda-Stars-
168 - 2021-03-171129Barracuda-Eagles-
170 - 2021-03-191145Rocket-Barracuda-
172 - 2021-03-211163Bruins-Barracuda-
174 - 2021-03-231173Barracuda-Heat-
176 - 2021-03-251189Barracuda-Comets-
178 - 2021-03-271203Barracuda-Condors-
180 - 2021-03-291223Roadrunners-Barracuda-
182 - 2021-03-311238Barracuda-Reign-
184 - 2021-04-021254Stars-Barracuda-
186 - 2021-04-041271Gulls-Barracuda-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance42,55724,370
Attendance PCT85.11%97.48%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
14 2677 - 89.24% 92,752$2,318,806$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,858,368$ 1,116,708$ 1,116,708$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 675,647$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,484,036$ 76 16,756$ 1,273,456$




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
178323604501421452-3139191602101213218-539132002400208234-26784217641185000941581651838052063866921467081510143231211536.86%38715360.47%18534114246.76%631136146.36%796176645.07%1664100517247431313609
201982363406510252244841171803300111119-8411916032101411251691252456708330878276300509579911025287887056817852914716.15%2374282.28%11546312349.50%1418301547.03%603122049.43%1967137519685941019505
202050162702212195212-1725101200102105996256150211090113-2342195351546116266644196361664267838190853338012151423222.54%1493775.17%0942190249.53%951179053.13%48188754.23%11718131208363640313
Total Regular Season21084970121223868908-40105464605503429436-7105385107720439472-332118681571243944622473042456806616211923071732693221112458443274519426.04%77323269.99%193022616749.00%3000616648.65%1880387348.54%480231944900170129741429
Playoff
1734000003548-13413000001224-12321000002324-163567102000717111440406638149517212525832.00%361752.78%1428251.22%479947.47%8517349.13%144791506812460
2019171160000061538853000003228496300000292542261107168000252766340233179206614198101395681420.59%39879.49%030666046.36%26762043.06%14629250.00%405283426123216109
Total Playoff2414100000096101-51266000004452-81284000005249328961742700003244177780273245244763249173520932223.66%752566.67%134874246.90%31471943.67%23146549.68%550362577191341170