Roadrunners

GP: 7 | W: 1 | L: 6 | OTL: 0 | P: 2
GF: 16 | GA: 37 | PP%: 10.53% | PK%: 69.57%
GM : Richard Boivin | Morale : 50 | Team Overall : 64
Next Games #110 vs Canucks

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
1Jiri Kulich0X100.006537897375858367716269656861648050660
2Matthew Poitras0X100.005939857067828068756966637162647250660
3Phillip Di Giuseppe0XX100.007540836773857763586260696474724650650
4Pat Maroon0X100.007484666490808266556859615685782250650
5Max Jones0X100.008153756387808262586362606568697150640
6Jujhar Khaira0XX100.008078756189787058646257635971735250630
7Anders Bjork0XXX100.006337926472747363596057625869714550620
8Jared Davidson0X100.006339766170848059665862576164655750610
9Alexis Gendron0X100.005538766164847458555462536062645150590
10Kevin Gravel0X100.007639896187838459306456634973753250660
11Gustav Lindstrom0X100.007239816479827762306760635167696450650
12Maksymilian Szuber0X100.007240776081828658306255594863654950630
13Casey Fitzgerald0X100.006141715870698556305754554668735350600
14Gavin White0X100.006537925574687754305652534663655950580
Scratches
1Owen Beck0X100.006939796674807464706258656362617750630
2Jordan Dumais0X100.006035946264716361656059576461636550590
3Parker Bell0X100.007639835385697152565154575362644950570
4Ben Hemmerling0X100.005836955667716254515353555461634950560
5Arber Xhekaj0X100.008588586594848563306759665065684350680
6Nick DeSimone0X100.006938956579827464306760615271733450650
7Kirill Kudryavtsev0X100.006336906173807259306054574961634950610
8Elias Salomonsson0X100.006038866269706958306354554761637150590
9Jackson Edward0X100.007039865479636553305652554561634950580
10Jake Furlong0X100.006638925575647154305352554661635750580
TEAM AVERAGE100.00684483627777766047615860556667545062
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
1Cayden Primeau100.00828278848180828180828166755650780
2Matt Murray100.00747671937372747372747375855350740
Scratches
1Dennis Hildeby100.00778682987675777675777664715750760
2Vyacheslav Buteyets100.00577066885655575655575663694950610
TEAM AVERAGE100.0073797491727173727173726775545072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Boudreau70697568999738CAN7073,200,000$


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
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
Alexis GendronRW212003-12-30No175 Lbs5 ft9NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Anders BjorkC/LW/RW291996-08-05No190 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Arber XhekajD242001-01-30No240 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ben HemmerlingRW212004-04-21No174 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Casey FitzgeraldD281997-02-25No188 Lbs5 ft11NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Cayden PrimeauG261999-08-11No205 Lbs6 ft3NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Dennis HildebyG242001-08-19No224 Lbs6 ft7NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Elias SalomonssonD212004-08-31No172 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Gavin WhiteD222002-11-12No196 Lbs6 ft0NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Gustav LindstromD271998-10-20No194 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jackson EdwardD212004-02-27No193 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Jake FurlongD212004-03-04No189 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Jared DavidsonC232002-07-07No188 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jiri KulichC212004-04-14No190 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Jordan DumaisRW212004-04-15No173 Lbs5 ft8NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Jujhar KhairaC/LW311994-08-13No212 Lbs6 ft4NoNoNo3UFAPro & Farm949,750$0$0$NoLink / NHL Link
Kevin GravelD331992-03-06No205 Lbs6 ft4NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kirill KudryavtsevD212004-02-05No200 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Maksymilian SzuberD232002-08-25No190 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt MurrayG311994-05-25No220 Lbs6 ft5NoNoNo3UFAPro & Farm713,124$0$0$NoLink / NHL Link
Matthew PoitrasC212004-03-10No180 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$500,000$432,642$NoLink / NHL Link
Max JonesLW271998-02-17No216 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nick DeSimoneD301994-11-21No194 Lbs6 ft2NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Owen BeckC212004-02-03No199 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Parker BellLW222003-09-26No192 Lbs6 ft4NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Pat MaroonLW371988-04-23No234 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Phillip Di GiuseppeLW/RW321993-10-09No193 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Vyacheslav ButeyetsG232002-05-29No210 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.07198 Lbs6 ft12.79495,103$



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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
72L21632481913581164614300
All Games
GPWLOTWOTL SOWSOLGFGA
71600001637
Home Games
GPWLOTWOTL SOWSOLGFGA
41300001119
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000518
Last 10 Games
WLOTWOTL SOWSOL
160000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
19210.53%23769.57%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
52538605560
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6218832.98%10528836.46%4611241.07%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11475226517834


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
8 - 2025-08-227Roadrunners2Eagles6LBoxScore
9 - 2025-08-2322Roadrunners2Eagles6LBoxScore
16 - 2025-08-3057Stars5Roadrunners1LBoxScore
17 - 2025-08-3164Stars5Roadrunners1LBoxScore
22 - 2025-09-0580Condors3Roadrunners5WBoxScore
23 - 2025-09-0693Condors6Roadrunners4LBoxScore
26 - 2025-09-09103Roadrunners1Canucks6LBoxScore
27 - 2025-09-10110Roadrunners-Canucks-
37 - 2025-09-20168Gulls-Roadrunners-
38 - 2025-09-21177Gulls-Roadrunners-
41 - 2025-09-24188Roadrunners-Reign-
43 - 2025-09-26199Roadrunners-Silver Knights-
44 - 2025-09-27214Roadrunners-Silver Knights-
50 - 2025-10-03237Wranglers-Roadrunners-
51 - 2025-10-04252Wranglers-Roadrunners-
54 - 2025-10-07259Firebirds-Roadrunners-
55 - 2025-10-08266Firebirds-Roadrunners-
58 - 2025-10-11289Roadrunners-Gulls-
64 - 2025-10-17316Roadrunners-Wranglers-
65 - 2025-10-18328Roadrunners-Wranglers-
71 - 2025-10-24359Silver Knights-Roadrunners-
72 - 2025-10-25371Silver Knights-Roadrunners-
74 - 2025-10-27382Gulls-Roadrunners-
76 - 2025-10-29393Gulls-Roadrunners-
78 - 2025-10-31405Roadrunners-Canucks-
79 - 2025-11-01411Roadrunners-Canucks-
86 - 2025-11-08450Eagles-Roadrunners-
87 - 2025-11-09455Eagles-Roadrunners-
92 - 2025-11-14477Roadrunners-Stars-
93 - 2025-11-15490Roadrunners-Stars-
97 - 2025-11-19508Roadrunners-Firebirds-
99 - 2025-11-21520Roadrunners-Gulls-
100 - 2025-11-22531Roadrunners-Gulls-
103 - 2025-11-25543Roadrunners-Wranglers-
104 - 2025-11-26553Roadrunners-Wranglers-
109 - 2025-12-01590Silver Knights-Roadrunners-
111 - 2025-12-03592Silver Knights-Roadrunners-
113 - 2025-12-05609Canucks-Roadrunners-
114 - 2025-12-06624Canucks-Roadrunners-
120 - 2025-12-12657Reign-Roadrunners-
121 - 2025-12-13673Reign-Roadrunners-
127 - 2025-12-19689Roadrunners-Barracuda-
128 - 2025-12-20692Roadrunners-Barracuda-
131 - 2025-12-23710Roadrunners-Condors-
132 - 2025-12-24718Roadrunners-Reign-
135 - 2025-12-27739Roadrunners-Silver Knights-
136 - 2025-12-28750Roadrunners-Silver Knights-
139 - 2025-12-31766Roadrunners-Firebirds-
142 - 2026-01-03789Canucks-Roadrunners-
143 - 2026-01-04800Canucks-Roadrunners-
148 - 2026-01-09821IceHogs-Roadrunners-
149 - 2026-01-10838IceHogs-Roadrunners-
153 - 2026-01-14857Roadrunners-Reign-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16866Roadrunners-Condors-
156 - 2026-01-17881Roadrunners-Condors-
159 - 2026-01-20890Reign-Roadrunners-
160 - 2026-01-21898Reign-Roadrunners-
163 - 2026-01-24923Barracuda-Roadrunners-
164 - 2026-01-25932Barracuda-Roadrunners-
170 - 2026-01-31969Roadrunners-Eagles-
171 - 2026-02-01977Roadrunners-Eagles-
174 - 2026-02-04989Roadrunners-Reign-
176 - 2026-02-06999Roadrunners-Gulls-
177 - 2026-02-071016Roadrunners-Condors-
180 - 2026-02-101027Wranglers-Roadrunners-
181 - 2026-02-111035Wranglers-Roadrunners-
184 - 2026-02-141062Condors-Roadrunners-
185 - 2026-02-151069Condors-Roadrunners-
190 - 2026-02-201086Roadrunners-IceHogs-
191 - 2026-02-211101Roadrunners-IceHogs-
197 - 2026-02-271137Eagles-Roadrunners-
198 - 2026-02-281151Eagles-Roadrunners-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance7,5103,799
Attendance PCT93.88%94.98%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2827 - 94.24% 70,364$281,456$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
434,538$ 142,629$ 142,629$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 18,538$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,251,648$ 174 16,713$ 2,908,062$




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
128235290364529425737411812014241731314241171702221121126-5952944767700701159577244407977968242036600103316075048917.66%4178380.10%61298251551.61%1146221551.74%691128253.90%221916431823555937481
1368233701421174216-423413160031190114-243410210111084102-185717429947314061565416650528530591187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
146838160243523916772341712012111108129342140122412986439523942966805094845622880797709755163042979512803066320.59%2744384.31%41365220162.02%1063178159.69%622101561.28%199614951350421783428
146838160243523916772341712012111108129342140122412986439523942966805094845622880797709755163042979512803066320.59%2744384.31%41365220162.02%1063178159.69%622101561.28%199614951350421783428
146838160243523916772341712012111108129342140122412986439523942966805094845622880797709755163042979512803066320.59%2744384.31%41365220162.02%1063178159.69%622101561.28%199614951350421783428
158234290551823519540411913021151189424411516034031171011693235407642150806881211306416687772125653110816494278519.91%4586286.46%21130241046.89%1075255842.03%540113847.45%208014841948573955484
158234290551823519540411913021151189424411516034031171011693235407642150806881211306416687772125653110816494278519.91%4586286.46%21130241046.89%1075255842.03%540113847.45%208014841948573955484
1682195604102223364-1414192803100112179-6741102801002111185-7449223394617100828453229807558327003009912101316553764812.77%43411673.27%3952231541.12%1107272440.64%526126341.65%163911492395581906409
177275803310134388-254363300210069189-120364280121065199-1342513425939300054354117480607542586363210286501237242145.79%2997674.58%0493160130.79%794267629.67%323112328.76%9996522584518749287
187295506200216435-2193682204200117192-75361330200099243-1443221642063610082676122320697752757356199368114082282812.28%2727672.06%1754176442.74%1002250839.95%487126638.47%11958212369500771322
1970194603101213355-14234102102100112167-553692501001101188-874621341763000093704723430759812765346198458315582423313.64%2606873.85%2868192745.04%1016252940.17%485120240.35%12548642189485765336
20716000001637-21413000001119-830300000518-13216324800556019152538603581164614319210.53%23769.57%06218832.98%10528836.46%4611241.07%11475226517834
Total Regular Season82129539303639184024572943-4864101511940192081812501422-17241114419901719102212071521-31477724574398685553659348016632401152786978138042270707774947015999379462716.53%378273980.46%31118752368150.15%115722537245.61%60631255748.28%191771379421249559592654513
Playoff
11734000001318-53210000065141300000713-6613223501043615604163521865594129621117.74%39294.87%09521344.60%8421738.71%378941.57%147102195517736
141275000002727051400000819-11761000001981114274572030978270082848029777176216671116.42%771087.01%018940047.25%20740051.75%8617648.86%29319431710116479
Total Playoff19109000004045-5835000001424-101174000002621520406710704013101442601231471324831322703451292217.05%1161289.66%028461346.33%29161747.16%12326546.42%440297512152242115