Moose

GP: 31 | W: 16 | L: 14 | OTL: 1 | P: 33
GF: 114 | GA: 116 | PP%: 23.47% | PK%: 74.65%
GM : Sam Vienneau | Morale : 75 | Team Overall : 62
Next Games #516 vs Senators

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
1Patrick Brown0XX100.00813890638186836272645867597377075650
2Max Jones (R)0X100.00815375638780826258636260656869075640
3Antonio Stranges (R)0X100.00573789656691806364626164666365075630
4Filip Bystedt (R)0X100.00694081657884706470636261656163075630
5Kole Lind (R)0X100.00704169647885866365625861636769075630
6Lukas Rousek (R)0XX100.00583786667274866470655661596768075630
7T.J. Tynan0XXX100.00603869646073856273665759637375075620
8Hayden Hodgson0X100.00786550598573775753585659576971075610
9Zayde Wisdom (R)0X100.00623981597173825855575654586365075600
10William Wallinder (R)0X100.00763994598565845830575263456365075610
11Guillaume Brisebois (R)0X100.00653790587581705730565562496870075600
12Tyson Hinds (R)0X100.00724081578167875630555358466264075600
13Reilly Walsh (R)0X100.00623887607170845730615556476668075600
14Ryan Jones (R)0X100.00694083557866685230545053456971075580
Scratches
1Nikita Grebenkin (R)0X91.36724175648275706357605856616364075620
TEAM AVERAGE99.4269428061777680605260576057666807562
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
1Aaron Dell100.0069756977686769686769687690075630
2Michael Houser100.0068757074676668676668677387075620
Scratches
TEAM AVERAGE100.006975707668676968676968758907563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mark Recchi68636973847863CAN5721,000,000$


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
1Kole LindMoose (WPG)RW3124244821407282163349114.72%2365321.09641034740000152157.14%5600101.4700000442
2Filip BystedtMoose (WPG)C311227391100339612528969.60%968121.971892174000103151.78%89800011.1500000311
3Lukas RousekMoose (WPG)LW/RW31132235-2403958127257510.24%1866321.39461026960001193059.18%4900001.0600000130
4Guillaume BriseboisMoose (WPG)D3161925-312039517421458.11%4874123.92471142900001570033.33%1200000.6700000112
5William WallinderMoose (WPG)D31916250260914271153612.68%5177324.9642634750001462042.31%2600000.6500000022
6Nikita GrebenkinMoose (WPG)RW3141822-522068527123645.63%1162320.11011160000151149.01%15100000.7100000003
7T.J. TynanMoose (WPG)C/LW/RW3181422-96028788627659.30%766221.3801101000091150.95%31600000.6600000200
8Andrew PoturalskiJetsC/LW/RW16101020-620114681246412.35%1641225.7922417450004401046.94%4900100.9700000303
9Zayde WisdomMoose (WPG)C3151116-1160304433142515.15%3473823.8100000000000042.46%17900000.4300000002
10Hayden HodgsonMoose (WPG)RW316915-102201234941153314.63%3259019.0400000000001050.00%1800000.5100000000
11Reilly WalshMoose (WPG)D2659145120333146142510.87%4662824.1813422620000392133.33%600000.4500000100
12Antonio StrangesMoose (WPG)C164711-4006655417497.41%634521.6101106000060048.27%34600000.6400000000
13Patrick BrownMoose (WPG)C/RW936907530352652311.54%620422.720220210000160050.54%27700000.8800001100
14Tyson HindsMoose (WPG)D11044310025109680.00%1522420.41033326000020000.00%000000.3600000000
15Max JonesMoose (WPG)LW11121002250220.00%11515.28000120000000100.00%100002.6200000100
16Ryan JonesMoose (WPG)D3011100431100.00%14314.410000000001000.00%000000.4600000000
Team Total or Average361110198308-371535634744101326970110.86%324800222.17224062201583000828816550.08%238400210.7700001171115
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
1Aaron DellMoose (WPG)31161410.8973.7817462011010700100.0000310131
2Michael HouserMoose (WPG)40000.9132.98121006690000.0000031000
Team Total or Average35161410.8983.7318672011611390100.00003131131


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
Aaron DellG361989-05-04No213 Lbs6 ft0NoNoNo1UFAPro & Farm838,800$0$0$NoLink / NHL Link
Antonio StrangesC232002-02-05Yes168 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Filip BystedtC212004-02-04Yes187 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Guillaume BriseboisD281997-07-21Yes175 Lbs6 ft2NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Hayden HodgsonRW291996-03-02No221 Lbs6 ft2NoNoNo2UFAPro & Farm975,000$0$0$NoLink / NHL Link
Kole LindRW261998-10-16Yes193 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Lukas RousekLW/RW261999-04-20Yes171 Lbs5 ft11NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Max JonesLW271998-02-17Yes216 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Michael HouserG331992-09-13No185 Lbs6 ft1NoNoNo2UFAPro & Farm975,000$0$0$NoLink / NHL Link
Nikita GrebenkinRW222003-05-02Yes210 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Patrick BrownC/RW331992-05-29No218 Lbs6 ft1NoNoNo1UFAPro & Farm975,000$0$0$NoLink / NHL Link
Reilly WalshD261999-04-21Yes185 Lbs6 ft0NoNoNo2RFAPro & Farm975,000$0$0$NoLink / NHL Link
Ryan JonesD291996-05-26Yes186 Lbs6 ft2NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
T.J. Tynan (1 Way Contract)C/LW/RW331992-02-25No160 Lbs5 ft8NoNoNo2UFAPro & Farm999,999$999,999$645,833$NoLink / NHL Link
Tyson HindsD222003-03-12Yes188 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
William WallinderD232002-07-28Yes191 Lbs6 ft4NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Zayde WisdomC232002-07-07Yes195 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1727.06192 Lbs6 ft12.06958,165$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas Rousek40122
2Filip BystedtKole Lind30122
3T.J. Tynan20122
4Zayde WisdomHayden Hodgson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1William Wallinder40122
2Guillaume Brisebois30122
3Hayden Hodgson20122
4William Wallinder10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas Rousek60122
2Filip BystedtKole Lind40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Lukas Rousek40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122William Wallinder60122
240122Guillaume Brisebois40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Lukas Rousek40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lukas RousekWilliam Wallinder
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lukas RousekWilliam Wallinder
Extra Forwards
Normal PowerPlayPenalty Kill
, T.J. Tynan, , T.J. Tynan
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Guillaume Brisebois, Guillaume Brisebois
Penalty Shots
, , , Lukas Rousek, Kole Lind
Goalie
#1 : Aaron Dell, #2 : Michael Houser
Custom OT Lines Forwards
, , , Lukas Rousek, Kole Lind, Filip Bystedt, Filip Bystedt, , T.J. Tynan, , Hayden Hodgson
Custom OT Lines Defensemen
William Wallinder, , , Guillaume Brisebois,


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
3133W21142093231048113933615766200
All Games
GPWLOTWOTL SOWSOLGFGA
3113143100114116
Home Games
GPWLOTWOTL SOWSOLGFGA
155631005854
Visitor Games
GPWLOTWOTL SOWSOLGFGA
168800005662
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
982323.47%711874.65%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
35435832883838353
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
500103348.40%538115346.66%26953949.91%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
707489766228397196


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
3 - 2025-10-0917Stars3Moose4WXBoxScore
5 - 2025-10-1122Reign5Moose6WXBoxScore
7 - 2025-10-1342Moose2Sound Tigers5LBoxScore
10 - 2025-10-1665Moose5Phantoms3WBoxScore
12 - 2025-10-1884Admirals2Moose3WXBoxScore
14 - 2025-10-2096Moose3Wranglers6LBoxScore
17 - 2025-10-23119Firebirds2Moose5WBoxScore
18 - 2025-10-24126Wranglers3Moose2LBoxScore
20 - 2025-10-26143Roadrunners6Moose5LBoxScore
22 - 2025-10-28157Moose5Wild3WBoxScore
24 - 2025-10-30174IceHogs5Moose1LBoxScore
26 - 2025-11-01182Penguins4Moose2LBoxScore
29 - 2025-11-04212Moose2Reign3LBoxScore
32 - 2025-11-07230Moose4Barracuda2WBoxScore
34 - 2025-11-09251Moose6Gulls4WBoxScore
36 - 2025-11-11263Moose2Comets4LBoxScore
38 - 2025-11-13278Moose4Firebirds3WBoxScore
40 - 2025-11-15294Moose5Wranglers2WBoxScore
43 - 2025-11-18311Monsters4Moose3LXBoxScore
46 - 2025-11-21333Wolves2Moose4WBoxScore
48 - 2025-11-23348Wild4Moose5WBoxScore
51 - 2025-11-26367Moose3Bears2WBoxScore
53 - 2025-11-28387Moose3Wolves2WBoxScore
54 - 2025-11-29397Moose5Admirals6LBoxScore
56 - 2025-12-01408Moose3Americans4LBoxScore
58 - 2025-12-03422Moose2Rocket7LBoxScore
60 - 2025-12-05437Americans5Moose2LBoxScore
61 - 2025-12-06450Moose2Condors6LBoxScore
64 - 2025-12-09473Stars5Moose3LBoxScore
66 - 2025-12-11489Bruins2Moose6WBoxScore
68 - 2025-12-13503Bears2Moose7WBoxScore
70 - 2025-12-15516Senators-Moose-
72 - 2025-12-17531Moose-Thunderbirds-
74 - 2025-12-19546Moose-Eagles-
76 - 2025-12-21569Moose-Roadrunners-
82 - 2025-12-27594Wild-Moose-
84 - 2025-12-29609Condors-Moose-
86 - 2025-12-31626Moose-Griffins-
87 - 2026-01-01634Moose-Marlies-
89 - 2026-01-03650Moose-Senators-
92 - 2026-01-06673Silver Knights-Moose-
94 - 2026-01-08690Condors-Moose-
95 - 2026-01-09695Reign-Moose-
97 - 2026-01-11711Devils-Moose-
99 - 2026-01-13732Sound Tigers-Moose-
101 - 2026-01-15744Moose-Wild-
103 - 2026-01-17762Marlies-Moose-
105 - 2026-01-19776Moose-IceHogs-
106 - 2026-01-20785Thunderbirds-Moose-
108 - 2026-01-22799Checkers-Moose-
110 - 2026-01-24815Griffins-Moose-
113 - 2026-01-27835Moose-Devils-
115 - 2026-01-29846Moose-Crunch-
117 - 2026-01-31862Moose-Checkers-
119 - 2026-02-02882Moose-Stars-
121 - 2026-02-04895Rocket-Moose-
142 - 2026-02-25915Moose-Comets-
144 - 2026-02-27933Moose-Gulls-
146 - 2026-03-01949Moose-Barracuda-
148 - 2026-03-03964IceHogs-Moose-
150 - 2026-03-05980Crunch-Moose-
152 - 2026-03-07996Comets-Moose-
155 - 2026-03-101022Gulls-Moose-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141045Eagles-Moose-
160 - 2026-03-151057Thunderbirds-Moose-
162 - 2026-03-171072Admirals-Moose-
164 - 2026-03-191083Moose-Bruins-
166 - 2026-03-211099Moose-Penguins-
167 - 2026-03-221110Moose-Wolf Pack-
169 - 2026-03-241131Silver Knights-Moose-
171 - 2026-03-261145Eagles-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281162Moose-Eagles-
176 - 2026-03-311186Moose-IceHogs-
178 - 2026-04-021198Moose-Stars-
180 - 2026-04-041215Moose-Monsters-
182 - 2026-04-061230Firebirds-Moose-
185 - 2026-04-091253Moose-Thunderbirds-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131291Moose-Silver Knights-
190 - 2026-04-141297Moose-Roadrunners-
192 - 2026-04-161308Barracuda-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance29,72414,957
Attendance PCT99.08%99.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-5 2979 - 99.29% 80,621$1,209,318$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
933,318$ 1,528,880$ 1,528,880$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 574,676$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-403,106$ 124 13,171$ 1,633,204$




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
202482244704322272321-4941132203102126149-2341112501220146172-26652724837553093997410257383586285540301188164020392495020.08%2786676.26%71334275948.35%1448311346.51%683139149.10%1838123220436171073528
202531131403100114116-2155603100585441688000005662-633114209323003838353104835435832881139336157662982323.47%711874.65%0500103348.40%538115346.66%26953949.91%707489766228397196
Total Regular Season113376107422386437-5156182806202184203-1957193301220202234-3298386692107830131137109133621118912201183484150121779727013477321.04%3498475.93%71834379248.36%1986426646.55%952193049.33%2545172228098461471724