Moose

GP: 19 | W: 6 | L: 13 | OTL: 0 | P: 12
GF: 61 | GA: 105 | PP%: 14.47% | PK%: 71.05%
GM : Luc Forget | Morale : 50 | Team Overall : 63
Next Games #342 vs Wranglers

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
1Pierre Engvall0XX100.006338907292848869596867636670714150680
2Sam Gagner0XX100.006337926772787766686365646985774550650
3Vinni Lettieri0X100.006837816567817964716266636470713650640
4Dylan Holloway0XX100.007642816679818264606167626863658350640
5Ryan Lomberg0XX100.007977706866768963585561626671723550630
6Justin Kirkland0X100.007039846380787559716158606268705650620
7Landon Slaggert (R)0X100.006534926470786263506256665961626550610
8Daniel Torgersson0X100.007439955983748257565455585362647550600
9Isaac Ratcliffe0X100.008350695792748156535455585265677350600
10Matvey Petrov (R)0X100.006740805976756958565257555961634950580
11Riley Sawchuk0X100.006037935569716553575254505365674250550
12Ryan Francis (R)0X100.006336925563676354515352505463655650550
13Pierre-Olivier Joseph0X100.007035866977868467307360625365667850670
14Matthew Kessel0X100.007039806681848863306458654964664850660
15Declan Chisholm0X100.006439856675847865306961645264664850650
16Isaak Phillips0X100.007442736084858459306658655063655550650
17Tyler Tucker0X100.007267616378807858306259615364664850630
18Matthew Robertson0X100.007742785887768357305953584663657250630
Scratches
1Lukas Svejkovsky0X100.006336935763757256565554515363656050570
2Stanislav Svozil (R)0X100.006136866571867063306655574861636750620
3Topi Niemela (R)0X100.005537816466707363306256574862646750600
4Mason Millman (R)0X100.006338805772646255305650524563656150570
TEAM AVERAGE100.00684283637678776147605859566567575062
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
1Devin Cooley100.00747975887372747372747367775350730
2Mack Guzda100.00727672927170727170727163694350710
Scratches
1Aleksei Kolosov100.00667067746564666564666562686550650
TEAM AVERAGE100.0071757185706971706971706471545070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Hiller78838279827766CAN5581,000,000$


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
1Ryan LombergMoose (Wpg)LW/RW192082844157937115398517.39%1426614.0100016000023266.67%1500012.1000001632
2Matthew KesselMoose (Wpg)D19419236360541431162512.90%3227514.480002600001000.00%000001.6700000251
3Matthew RobertsonMoose (Wpg)D19235-1728059191941110.53%181668.740000000000000.00%000000.6000000112
4Justin KirklandMoose (Wpg)C19303-12015122851810.71%6623.2700000000001073.68%7600000.9600000116
Team Total or Average76293059-81075207821936413915.03%7076910.13000312000034272.53%9100011.5300001101011
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
Aleksei KolosovG222002-01-04No185 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Daniel TorgerssonLW222002-01-26No199 Lbs6 ft3NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Declan ChisholmD242000-01-12No190 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Devin CooleyG271997-05-25No192 Lbs6 ft5NoNoNo4RFAPro & Farm750,000$0$0$NoLink / NHL Link
Dylan HollowayC/LW232001-09-23No206 Lbs6 ft1NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Isaac RatcliffeLW251999-02-15No200 Lbs6 ft6NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Isaak PhillipsD232001-09-28No205 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Justin KirklandC281996-08-02No183 Lbs6 ft3NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Landon SlaggertLW222002-06-25Yes180 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Lukas SvejkovskyRW232001-11-28No165 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mack GuzdaG232001-01-11No215 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mason MillmanD232001-07-18Yes175 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew KesselD242000-06-23No205 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew RobertsonD232001-09-01No201 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matvey PetrovLW212003-03-12Yes178 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Pierre EngvallLW/RW281996-05-31No215 Lbs6 ft5NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Pierre-Olivier JosephD251999-07-01No185 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Riley SawchukC251999-03-18No181 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan FrancisRW232001-12-02Yes170 Lbs5 ft9NoNoNo4RFAPro & Farm500,000$0$0$NoNHL Link
Ryan LombergLW/RW301994-12-09No184 Lbs5 ft9NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Sam GagnerC/RW351989-08-10No200 Lbs5 ft11NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Stanislav SvozilD212003-01-17Yes183 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Topi NiemelaD222002-03-25Yes156 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Tyler TuckerD242000-03-01No204 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vinni LettieriC291995-02-06No184 Lbs5 ft10NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.60190 Lbs6 ft12.80486,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Ryan Lomberg30122
320122
4Justin Kirkland10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Matthew Kessel30122
3Matthew Robertson20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Ryan Lomberg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Ryan Lomberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Matthew Kessel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Ryan Lomberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Matthew Kessel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Matthew Robertson, , Matthew Robertson
Penalty Shots
, , , Ryan Lomberg,
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
1912L26110516666079323117743600
All Games
GPWLOTWOTL SOWSOLGFGA
19613000061105
Home Games
GPWLOTWOTL SOWSOLGFGA
105500003646
Visitor Games
GPWLOTWOTL SOWSOLGFGA
91800002559
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
761114.47%762271.05%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
20222623203117130
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24655444.40%23657141.33%13533740.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
428315499120211101


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
9 - 2024-09-2415Moose4Wild5LBoxScore
10 - 2024-09-2527Moose3Wild5LBoxScore
15 - 2024-09-3035Moose1Griffins7LBoxScore
16 - 2024-10-0150Moose2Griffins9LBoxScore
23 - 2024-10-0883IceHogs3Moose4WBoxScore
24 - 2024-10-0995IceHogs4Moose6WBoxScore
29 - 2024-10-14117Admirals4Moose2LBoxScore
30 - 2024-10-15127Admirals6Moose4LBoxScore
37 - 2024-10-22165Moose1Stars8LBoxScore
38 - 2024-10-23175Moose3Stars6LBoxScore
41 - 2024-10-26183Moose1Admirals8LBoxScore
43 - 2024-10-28196Moose5IceHogs4WBoxScore
44 - 2024-10-29211Moose5Wolves7LBoxScore
49 - 2024-11-03228Wolves3Moose4WBoxScore
51 - 2024-11-05241Wolves5Moose3LBoxScore
57 - 2024-11-11274Wranglers4Moose7WBoxScore
59 - 2024-11-13294Wranglers4Moose6WBoxScore
64 - 2024-11-18315Senators8Moose0LBoxScore
65 - 2024-11-19322Senators5Moose0LBoxScore
68 - 2024-11-22342Moose-Wranglers-
69 - 2024-11-23349Moose-Wranglers-
72 - 2024-11-26374Moose-Canucks-
73 - 2024-11-27380Moose-Canucks-
78 - 2024-12-02403IceHogs-Moose-
80 - 2024-12-04423IceHogs-Moose-
87 - 2024-12-11453Stars-Moose-
89 - 2024-12-13460Stars-Moose-
92 - 2024-12-16478Moose-Wranglers-
94 - 2024-12-18499Moose-Wranglers-
97 - 2024-12-21504Moose-Admirals-
99 - 2024-12-23513Moose-Griffins-
100 - 2024-12-24528Moose-Griffins-
106 - 2024-12-30563Marlies-Moose-
108 - 2025-01-01579Marlies-Moose-
112 - 2025-01-05601Griffins-Moose-
114 - 2025-01-07612Griffins-Moose-
118 - 2025-01-11641Moose-Wolves-
120 - 2025-01-13653Moose-Admirals-
121 - 2025-01-14669Moose-Wolves-
128 - 2025-01-21690Wild-Moose-
129 - 2025-01-22705Wild-Moose-
132 - 2025-01-25716Stars-Moose-
134 - 2025-01-27726Stars-Moose-
136 - 2025-01-29743Admirals-Moose-
137 - 2025-01-30754Admirals-Moose-
139 - 2025-02-01759Moose-Rocket-
141 - 2025-02-03770Moose-Rocket-
143 - 2025-02-05796Moose-Marlies-
146 - 2025-02-08807Moose-Senators-
148 - 2025-02-10818Moose-Senators-
149 - 2025-02-11825Moose-Marlies-
152 - 2025-02-14845Griffins-Moose-
153 - 2025-02-15854Griffins-Moose-
156 - 2025-02-18870Wranglers-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19885Wranglers-Moose-
161 - 2025-02-23901Moose-Wolves-
163 - 2025-02-25916Moose-Wild-
164 - 2025-02-26930Moose-Wild-
167 - 2025-03-01941Moose-IceHogs-
169 - 2025-03-03953Canucks-Moose-
170 - 2025-03-04965Canucks-Moose-
173 - 2025-03-07980Moose-Admirals-
176 - 2025-03-10997Moose-IceHogs-
177 - 2025-03-111012Moose-IceHogs-
180 - 2025-03-141024Rocket-Moose-
181 - 2025-03-151033Rocket-Moose-
184 - 2025-03-181049Wolves-Moose-
185 - 2025-03-191064Wolves-Moose-
190 - 2025-03-241085Wild-Moose-
191 - 2025-03-251096Wild-Moose-
197 - 2025-03-311133Moose-Stars-
198 - 2025-04-011147Moose-Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance18,9079,361
Attendance PCT94.54%93.61%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 2827 - 94.23% 70,590$705,902$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
379,082$ 121,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 42,403$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,835,345$ 132 5,636$ 743,952$




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
1282214702525214288-7441102401312106138-3241112301213108150-4260214349563210678162202706247026812208680125617914808718.13%5149781.13%21058238944.29%900222140.52%637124951.00%208514841931562955492
1376155105212172342-170388250400187165-78387260121185177-924617231348501064465618320609630572284685388614313565014.04%3788178.57%6827195142.39%1011256239.46%417111737.33%14169672329557842366
147666402211157387-230384320110077178-101382320111180209-1292115728544210071483519160633631642316889972113802573513.62%3287577.13%0601188131.95%727247429.39%361119730.16%13088852424544845352
158237800001104488-384411400000046236-190412380000158252-194710420330700041352816490564553530427411928101338307165.21%3469971.39%0550183829.92%795302226.31%315124025.40%10576763032584835306
168207801210120503-383410390110064242-178410390011056261-205612023335310053402517600568602585406111027351333277279.75%3058671.80%0561178231.48%800287427.84%387134028.88%10336583054585845310
17725012061302771411363624702120145727336265040101326963119277497774010097799223870780802791162754594414563666317.21%3865087.05%71274231455.06%1024199851.25%585106055.19%203315071483469829443
18723825024213462479936211300200176127493617120222117012050893466199650301431108928030888973915204756783415283269228.22%3717978.71%01321234556.33%1022197651.72%705119559.00%201215241544435790419
19196130000061105-441055000003646-10918000002559-3412611051660031171306602022262320793231177436761114.47%762271.05%024655444.40%23657141.33%13533740.06%428315499120211101
Total Regular Season56113936801816101014512501-105028173185098337371204-46728066183098777141297-5833601451260440554153155345238715034202489251254716210246069636310693244538115.58%270458978.22%1564381505442.77%65151769836.81%3542873540.55%11376801916301385961542793
Playoff
11514000001120-92110000067-130300000513-821120310006321200444036132311131004249.52%451077.78%08916852.98%7214948.32%378145.68%11577125385928
1740400000515-102020000028-62020000037-4058130003119603230261093052812627.69%21766.67%04613135.11%5310450.96%316349.21%9363103315024
1840400000524-1920200000310-720200000214-120510150002217402829171495152781715.88%25868.00%0449844.90%3611930.25%166225.81%6039135294317
Total Playoff13112000002159-38615000001125-14707000001034-2422138590001164290010499793901122172598578.24%912572.53%017939745.09%16137243.28%8420640.78%26818136510015370