Griffins

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 26 | GA: 23 | PP%: 11.76% | PK%: 88.24%
GM : Laurent Laporte | Morale : 50 | Team Overall : 60
Next Games #104 vs Wolfpack

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
1Carson Meyer0XX100.007139736470847863566261606368704250630
2Axel Jonsson-Fjallby0X100.007037936475798562586059616367695250630
3Marc McLaughlin0XX100.007038886275748558655963576266684350620
4Alex Jefferies0XX100.006437925973867357625859566164665750600
5Riley Sutter0X100.007942775888698356575455595366686050600
6Elliot Desnoyers0XXX100.006038875969788358555754565863655650590
7Blake McLaughlin0X100.005536895964686757605853545665676250570
8Reece Newkirk0X100.006139795570666754625653575464665450570
9Jeremie Poirier0X100.006841726076757759306555584863656750620
10Luke Prokop0X100.008851925497656653305551594563656750620
11Cole McWard0X100.006337925876748356305755594864664350610
12Jett Woo0X100.006643645675738455305953574665677350600
13Josh Jacobs0X100.007140835780656455305453564569716050590
14Xavier Bernard0X100.007542755484636453305250564565675850590
15Joey Keane0X100.006339815572686654305753564766686050580
Scratches
1Dylan Duke0XX100.006937786366757259555761586362645950600
TEAM AVERAGE100.00684082597673755746585657546567575060
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
D.J. Smith72767670726778CAN4851,000,000$


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
1Carson MeyerGriffins (Det)LW/RW7279-41001116306236.67%415822.620336270000252058.14%4300001.1400000100
2Marc McLaughlinGriffins (Det)C/RW76395401071831633.33%112718.20011325000070064.39%13200011.4100000111
3Alex JefferiesGriffins (Det)LW/RW72576003521679.52%111516.46000425000000087.50%800001.2100000002
4Riley SutterGriffins (Det)C7156040199238104.35%213719.6200025000120053.15%11100000.8700000000
5Jett WooGriffins (Det)D71564140222103610.00%013118.82112525000016000.00%000000.9100000010
6Elliot DesnoyersGriffins (Det)C/LW/RW7235-360451741711.76%312317.5900005000010031.25%1600000.8100000000
7Dylan DukeGriffins (Det)C/LW6325-160614152820.00%08814.7702221900005010.00%400001.1300000000
8Luke ProkopGriffins (Det)D72351100134141414.29%1315922.75202928000024100.00%000000.6300000000
9Cole McWardGriffins (Det)D722422051136615.38%916022.981019240000210035.71%1400000.5000000100
10Josh JacobsGriffins (Det)D7044-240533240.00%811216.140002300000000.00%000000.7100000000
11Xavier BernardGriffins (Det)D7213-111516350140.00%811216.090000000008000.00%000000.5300010100
12Blake McLaughlinGriffins (Det)LW71120003471814.29%012718.2600000000000050.00%600000.3100000000
13Brandon CoeDetroit Red WingsLW/RW4022520787210.00%08621.6800016000000070.83%4800000.4600000000
14Reece NewkirkGriffins (Det)C711220039101410.00%110815.54000000000200050.00%10000000.3700000000
15Jeremie PoirierGriffins (Det)D21013001361116.67%04221.470001500007000.00%000000.4700000000
16Joey KeaneGriffins (Det)D7000075656020.00%0639.120000000006000.00%000000.0000010000
Team Total or Average103264470178010134982054611812.68%50185718.0347114420400011483156.64%48200010.7500020423
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
Alex JefferiesLW/RW232001-11-08No195 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Axel Jonsson-FjallbyLW271998-02-10No189 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Blake McLaughlinLW252000-02-14No160 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Carson MeyerLW/RW281997-08-18No184 Lbs5 ft11NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole McWardD242001-06-09No192 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dylan DukeC/LW222003-03-04No177 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Elliot DesnoyersC/LW/RW232002-01-21No183 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jeremie PoirierD232002-06-02No196 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jett WooD252000-07-27No205 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joey KeaneD261999-07-02No187 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Josh JacobsD291996-02-15No200 Lbs6 ft2NoNoNo2UFAPro & Farm300,000$0$0$NoLink
Luke ProkopD232002-06-05No224 Lbs6 ft6NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Marc McLaughlinC/RW261999-07-26No202 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Reece NewkirkC242001-02-20No178 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Riley SutterC261999-10-25No210 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Xavier BernardD252000-06-01No205 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1624.94193 Lbs6 ft12.44350,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carson Meyer40122
2Alex JefferiesMarc McLaughlin30122
3Elliot DesnoyersRiley SutterBlake McLaughlin20122
4Blake McLaughlinReece NewkirkCarson Meyer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke Prokop40122
2Cole McWardJett Woo30122
3Josh JacobsXavier Bernard20122
4Joey KeaneLuke Prokop10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carson Meyer60122
2Alex JefferiesMarc McLaughlin40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke Prokop60122
2Cole McWardJett Woo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Carson Meyer60122
2Marc McLaughlin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke Prokop60122
2Cole McWardJett Woo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Carson Meyer60122Luke Prokop60122
240122Cole McWardJett Woo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Carson Meyer60122
2Marc McLaughlin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke Prokop60122
2Cole McWardJett Woo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carson MeyerLuke Prokop
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Carson MeyerLuke Prokop
Extra Forwards
Normal PowerPlayPenalty Kill
Riley Sutter, Elliot Desnoyers, Reece NewkirkRiley Sutter, Elliot DesnoyersReece Newkirk
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Jacobs, Xavier Bernard, Joey KeaneJosh JacobsXavier Bernard, Joey Keane
Penalty Shots
Carson Meyer, , Marc McLaughlin, , Alex Jefferies
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
76L3264470206188508013410
All Games
GPWLOTWOTL SOWSOLGFGA
73400002623
Home Games
GPWLOTWOTL SOWSOLGFGA
3210000127
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41300001416
Last 10 Games
WLOTWOTL SOWSOL
340000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
34411.76%34488.24%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
716075013760
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13222259.46%10219851.52%5711450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
174124162488342


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 - 2025-08-222Admirals3Griffins2LBoxScore
9 - 2025-08-2319Griffins7IceHogs2WBoxScore
15 - 2025-08-2935Moose1Griffins6WBoxScore
16 - 2025-08-3050Moose3Griffins4WBoxScore
22 - 2025-09-0576Griffins3Thunderbirds5LBoxScore
23 - 2025-09-0689Griffins2Phantoms5LBoxScore
24 - 2025-09-0798Griffins2Phantoms4LBoxScore
27 - 2025-09-10104Griffins-Wolfpack-
29 - 2025-09-12115IceHogs-Griffins-
31 - 2025-09-14137Griffins-Monsters-
35 - 2025-09-18148Griffins-Wild-
36 - 2025-09-19154Griffins-IceHogs-
41 - 2025-09-24182IceHogs-Griffins-
43 - 2025-09-26193Wolves-Griffins-
44 - 2025-09-27206Griffins-Admirals-
50 - 2025-10-03231Wild-Griffins-
52 - 2025-10-05257Wild-Griffins-
57 - 2025-10-10270Admirals-Griffins-
58 - 2025-10-11288Griffins-Wolves-
59 - 2025-10-12296Monsters-Griffins-
64 - 2025-10-17313Wolves-Griffins-
65 - 2025-10-18327Griffins-Wolves-
66 - 2025-10-19334Griffins-Wolves-
71 - 2025-10-24360Griffins-Eagles-
72 - 2025-10-25373Griffins-Eagles-
75 - 2025-10-28384Griffins-Stars-
76 - 2025-10-29392Griffins-Stars-
78 - 2025-10-31400Admirals-Griffins-
80 - 2025-11-02426Stars-Griffins-
86 - 2025-11-08442Griffins-Monsters-
89 - 2025-11-11461Monsters-Griffins-
91 - 2025-11-13469Griffins-Monsters-
93 - 2025-11-15488Griffins-Admirals-
99 - 2025-11-21513Moose-Griffins-
100 - 2025-11-22528Moose-Griffins-
104 - 2025-11-26551Wolves-Griffins-
106 - 2025-11-28561Monsters-Griffins-
107 - 2025-11-29569Monsters-Griffins-
112 - 2025-12-04601Griffins-Moose-
114 - 2025-12-06612Griffins-Moose-
118 - 2025-12-10637IceHogs-Griffins-
120 - 2025-12-12651Eagles-Griffins-
121 - 2025-12-13667Eagles-Griffins-
127 - 2025-12-19683Griffins-Admirals-
128 - 2025-12-20697Griffins-Admirals-
132 - 2025-12-24715Thunderbirds-Griffins-
134 - 2025-12-26728Griffins-Wild-
135 - 2025-12-27734Griffins-Wild-
139 - 2025-12-31760Phantoms-Griffins-
141 - 2026-01-02771Phantoms-Griffins-
143 - 2026-01-04798Wild-Griffins-
145 - 2026-01-06804Griffins-Stars-
146 - 2026-01-07809Griffins-Stars-
149 - 2026-01-10831Wild-Griffins-
152 - 2026-01-13845Griffins-Moose-
153 - 2026-01-14854Griffins-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17878Griffins-Wolves-
160 - 2026-01-21895Wolfpack-Griffins-
162 - 2026-01-23905Admirals-Griffins-
163 - 2026-01-24919Griffins-IceHogs-
169 - 2026-01-30948IceHogs-Griffins-
170 - 2026-01-31968IceHogs-Griffins-
174 - 2026-02-04985Stars-Griffins-
181 - 2026-02-111031Wolves-Griffins-
183 - 2026-02-131043IceHogs-Griffins-
184 - 2026-02-141058Griffins-IceHogs-
188 - 2026-02-181073Griffins-Monsters-
190 - 2026-02-201081Stars-Griffins-
191 - 2026-02-211098Stars-Griffins-
195 - 2026-02-251118Griffins-IceHogs-
197 - 2026-02-271132Griffins-IceHogs-
198 - 2026-02-281143Griffins-Wild-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5,7532,875
Attendance PCT95.88%95.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2876 - 95.87% 71,714$215,143$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
137,405$ 56,000$ 56,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 7,405$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,366,573$ 174 5,280$ 918,720$




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
1282215006302241318-7741122403101130155-254192603201111163-5259241412653110108755223970796808780251175995417014569019.74%3977082.37%21319246653.49%1182225452.44%645126251.11%190713522096577942452
1376204604204177274-97388260310086143-573812200110491131-405417730548212060615218730654625576194360789313544226214.69%3598277.16%21244220756.37%959194849.23%630115754.45%179612631897535901443
1476145503112154299-145388250201290155-65386300110064144-803915426842200055563916730554567539217861059111383244614.20%2455677.14%11078209451.48%921192347.89%597114552.14%180312781887523895443
1476145503112154299-145388250201290155-65386300110064144-803915426842200055563916730554567539217861059111383244614.20%2455677.14%11078209451.48%921192347.89%597114552.14%180312781887523895443
1476145503112154299-145388250201290155-65386300110064144-803915426842200055563916730554567539217861059111383244614.20%2455677.14%11078209451.48%921192347.89%597114552.14%180312781887523895443
158238310742025219458412315012001299237411516062201231022198252449701270100826122800738728796190859094814094205914.05%3784787.57%11511252059.96%1303223758.25%684116358.81%219315861787564975510
158238310742025219458412315012001299237411516062201231022198252449701270100826122800738728796190859094814094205914.05%3784787.57%11511252059.96%1303223758.25%684116358.81%219315861787564975510
168250200053430217213041251000222159788141251000312143944911530255185311401439462256609118447971740521104115604377517.16%4365687.16%61596263660.55%1373232958.95%725122159.38%227916801725546958507
1772421804521275141134362010022111367363362280231013968711022755017760120112847323120768724806169250594813943646517.86%3955885.32%81421228962.08%1121207654.00%643104661.47%203815141494463817435
1872682010104251163093634100010209561533634101000216601561404257671192012017015895303209691072988148339671313903489527.30%3233589.16%101701237571.62%1268180370.33%771114567.34%239518721153390778455
1970501601120355167188362870001019875123342290111015792651073556289831401531029729260968962994177748577414733368124.11%3154486.03%81566244664.02%1061186756.83%713112163.60%218016911278391751421
207340000026233321000001275413000001416-2626447010137602067160750188508013434411.76%34488.24%013222259.46%10219851.52%5711450.00%174124162488342
Total Regular Season853372383039271517276724962714271991840161081014581236222426173199023177713091260498962767491076779591311189126702489171826482678150216846333907215238420972817.30%375061183.71%41152352596358.68%124352271854.74%73431282757.25%225681650619046565398705112
Playoff
16624000001117-63120000058-33120000069-34111627000532131033483917154821172627.69%38586.84%05517830.90%5922526.22%238327.71%13590173477333
171798000004350-774300000181711055000002533-81843771202001710134600156143131511131295320992020.20%1271786.61%034160256.64%34363454.10%14626056.15%430297453132210103
182113800000693732115600000332211108200000361521266912519406021202764501742352284631362683471262217.46%115992.17%345071463.03%35460958.13%19231660.76%585427445140243129
1940400000723-1620200000511-620200000212-1007111800042180031242515639428319421.05%20575.00%0279727.84%3514224.65%147020.00%7552120284318
Total Playoff48242400000130127323101300000615832514110000069690481302293592604735431316039445042313013606878672704817.78%3003688.00%3873159154.87%791161049.13%37572951.44%12278671193349571284