Moose

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 18 | GA: 23 | PP%: 6.67% | PK%: 88.00%
GM : Luc Forget | Morale : 50 | Team Overall : 63
Next Games #117 vs Admirals

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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
1Landon Slaggert0X100.006939866770788563576059686264656350630
2Daniel Carr0X100.006339796272816861646063626575772350620
3Isaac Ratcliffe0X100.008346685992747358555756615967696550610
4Noel Gunler0X100.006740766076808457555861566265677150610
5Yegor Sidorov0X100.006238876071888459615860575962646650610
6Gavin Hayes0X100.006437935973828056545857555962646750590
7Jakub Stancl0X100.007539935684717255625453585561636250580
8Matvey Petrov0X100.006737955876727656535557545963654950580
9Noah Powell (R)0X100.006940785778676555535456585561635450580
10David Goyette0X100.005640735865707957555654525962646850570
11Josh Davies0X100.006042595469666553505152555362644950550
12Tyler Tucker0X100.007464676578838463306860675166684750670
13Axel Sandin-Pellikka0X100.006138926974868867306863645261628350660
14Declan Chisholm0X100.006336956978877766307256625166674750660
15Pierre-Olivier Joseph0X100.006638786977847466306753615068676950650
16Matt Benning0X100.007240796281767559305752684874733050650
17Matthew Kessel0X100.007541846586807662306357614966684750650
18Isaak Phillips0X100.007341736184768658305565595265675450630
19Montana Onyebuchi0X100.007563605684688054305553574566684250610
20Mason Millman0X100.006338905772657856305554584665675950600
21Stanislav Svozil0X100.006239815871697956305753544663656650590
Scratches
1Jake Boltmann0X100.006637955575636453305450564565676250580
TEAM AVERAGE100.00684181617776775943595759546567575061
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 Cooley100.00828681888180828180828169835150790
2Aleksei Kolosov100.00758581767473757473757464716350730
Scratches
1Michael Hrabal (R)100.00687269946766686766686761657550680
TEAM AVERAGE100.0075817786747375747375746573635073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan70818276827766CAN5581,000,000$


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
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
Aleksei KolosovG242002-01-04No185 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Axel Sandin-PellikkaD212005-03-11No186 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Daniel CarrLW341991-11-01No186 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink
David GoyetteC222004-03-27No172 Lbs5 ft10NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Declan ChisholmD262000-01-12No205 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Devin CooleyG291997-05-25No192 Lbs6 ft5NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Gavin HayesLW222004-05-14No177 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Isaac RatcliffeLW271999-02-15No200 Lbs6 ft6NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Isaak PhillipsD252001-09-28No205 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake BoltmannD252001-10-19No188 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Jakub StanclC212005-04-10No201 Lbs6 ft3NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Josh DaviesLW222004-03-24No197 Lbs5 ft9NoNoNo1ELCPro & Farm300,000$0$0$NoLink
Landon SlaggertLW242002-06-25No180 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mason MillmanD252001-07-18No175 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt BenningD321994-05-25No220 Lbs6 ft1NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Matthew KesselD262000-06-23No212 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matvey PetrovLW232003-03-12No178 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael HrabalG212005-01-20Yes209 Lbs6 ft6NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Montana OnyebuchiD262000-03-08No201 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah PowellRW212005-02-02Yes201 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Noel GunlerRW252001-10-07No176 Lbs6 ft2NoNoNo3RFAPro & Farm900,000$0$0$NoLink
Pierre-Olivier JosephD271999-07-01No185 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Stanislav SvozilD232003-01-17No183 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Tyler TuckerD262000-03-01No204 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Yegor SidorovRW222004-06-18No184 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.76192 Lbs6 ft22.36482,000$



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 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
66W1183553256260825014000
All Games
GPWLOTWOTL SOWSOLGFGA
62310001823
Home Games
GPWLOTWOTL SOWSOLGFGA
211000076
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41210001117
Last 10 Games
WLOTWOTL SOWSOL
231000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1516.67%25388.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
68899546831
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9919451.03%8219741.62%3810038.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11378179437031


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 - 2026-10-1715Moose3Wild2WBoxScore
10 - 2026-10-1827Moose3Wild2WXBoxScore
15 - 2026-10-2335Moose2Griffins5LBoxScore
16 - 2026-10-2450Moose3Griffins8LBoxScore
23 - 2026-10-3183IceHogs3Moose1LBoxScore
24 - 2026-11-0195IceHogs3Moose6WBoxScore
29 - 2026-11-06117Admirals-Moose-
30 - 2026-11-07127Admirals-Moose-
37 - 2026-11-14165Moose-Stars-
38 - 2026-11-15175Moose-Stars-
41 - 2026-11-18183Moose-Admirals-
43 - 2026-11-20196Moose-IceHogs-
44 - 2026-11-21211Moose-Wolves-
49 - 2026-11-26228Wolves-Moose-
51 - 2026-11-28241Wolves-Moose-
57 - 2026-12-04274Wranglers-Moose-
59 - 2026-12-06294Wranglers-Moose-
64 - 2026-12-11315Senators-Moose-
65 - 2026-12-12322Senators-Moose-
68 - 2026-12-15342Moose-Wranglers-
69 - 2026-12-16349Moose-Wranglers-
72 - 2026-12-19374Moose-Canucks-
73 - 2026-12-20380Moose-Canucks-
78 - 2026-12-25403IceHogs-Moose-
80 - 2026-12-27423IceHogs-Moose-
87 - 2027-01-03453Stars-Moose-
89 - 2027-01-05460Stars-Moose-
92 - 2027-01-08478Moose-Wranglers-
94 - 2027-01-10499Moose-Wranglers-
97 - 2027-01-13504Moose-Admirals-
99 - 2027-01-15513Moose-Griffins-
100 - 2027-01-16528Moose-Griffins-
106 - 2027-01-22563Marlies-Moose-
108 - 2027-01-24579Marlies-Moose-
112 - 2027-01-28601Griffins-Moose-
114 - 2027-01-30612Griffins-Moose-
118 - 2027-02-03641Moose-Wolves-
120 - 2027-02-05653Moose-Admirals-
121 - 2027-02-06669Moose-Wolves-
128 - 2027-02-13690Wild-Moose-
129 - 2027-02-14705Wild-Moose-
132 - 2027-02-17716Stars-Moose-
134 - 2027-02-19726Stars-Moose-
136 - 2027-02-21743Admirals-Moose-
137 - 2027-02-22754Admirals-Moose-
139 - 2027-02-24759Moose-Rocket-
141 - 2027-02-26770Moose-Rocket-
143 - 2027-02-28796Moose-Marlies-
146 - 2027-03-03807Moose-Senators-
148 - 2027-03-05818Moose-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06825Moose-Marlies-
152 - 2027-03-09845Griffins-Moose-
153 - 2027-03-10854Griffins-Moose-
156 - 2027-03-13870Wranglers-Moose-
157 - 2027-03-14885Wranglers-Moose-
161 - 2027-03-18901Moose-Wolves-
163 - 2027-03-20916Moose-Wild-
164 - 2027-03-21930Moose-Wild-
167 - 2027-03-24941Moose-IceHogs-
169 - 2027-03-26953Canucks-Moose-
170 - 2027-03-27965Canucks-Moose-
173 - 2027-03-30980Moose-Admirals-
176 - 2027-04-02997Moose-IceHogs-
177 - 2027-04-031012Moose-IceHogs-
180 - 2027-04-061024Rocket-Moose-
181 - 2027-04-071033Rocket-Moose-
184 - 2027-04-101049Wolves-Moose-
185 - 2027-04-111064Wolves-Moose-
190 - 2027-04-161085Wild-Moose-
191 - 2027-04-171096Wild-Moose-
197 - 2027-04-231133Moose-Stars-
198 - 2027-04-241147Moose-Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance3,7021,927
Attendance PCT92.55%96.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 2815 - 93.82% 69,729$139,458$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
135,144$ 120,500$ 120,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 14,544$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,370,786$ 175 5,631$ 985,425$




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
147666402211157387-230384320110077178-101382320111180209-1292115728544210071483519160633631642316889972113802573513.62%3287577.13%0601188131.95%727247429.39%361119730.16%13088852424544845352
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
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
1970254301100232335-10336171801000128153-253482500100104182-7853232412644000101646625110838826842286179371616672624015.27%2897873.01%1907206643.90%890218540.73%497119741.52%158811651854446764365
2072164703132212363-1513692301021117186-69367240211195177-824721238259410088694923960746820808296585170214732664115.41%3089369.81%2890203343.78%918228040.26%464116339.90%148610652071495793355
21623010001823-521100000761412010001117-66183553006831256688995426082501401516.67%25388.00%09919451.03%8219741.62%3810038.00%11378179437031
Total Regular Season92419165402722151522704379-2109462104326013105411532095-9424628732801412101111172284-1167503227041016371715691670660125018688169844981843692710554990617635373353814.41%425299076.72%1898402439340.34%104182975935.01%54431449237.56%1781012462277886398100974454
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