Swiss #1s
Statistics
Swiss ranks
- pp #1,254 2,463pp
- Global rank #1,256 #388,509
- Country rank #1,255 #1,255
- Accuracy #2,635 96.69%
- Plays #1,600 11,240
- Level #560 95.65
- Ranked score #1,233 2,438,948,359
- Total score #1,616 7,432,583,385
- Medals #90 48
- Replays watched #185 0
- Maps played #559 3,715
- Account age #23,711 #10,972,052
- #1s #231 9
- Weighted pp #1,468 233pp
- Average pp #1,901 33pp
- Average SR #1,824 3.56*
- Average accuracy #2,812 94.16%
- Average score #3,204 1,597,793
- Total score #1,831 14,380,133
- Oldest #1 #3,623 bbno$ & Rich Brian - edamame [slurp's rubber balls] (14-04-2023)
- Global #1s #9 0
Medals
48 of 352
Beatmap Challenge Packs 0/7
Beatmap Packs 2/80
Beatmap Spotlights 0/22
Hush-Hush 11/70
Hush-Hush (Expert) 5/64
Mod Introduction 10/13
Skill & Dedication 20/96
Beatmaps
The sets this player has favourited on osu!. Read when I last swept them, so a very recent upload can be missing.
Luis Fonsi - Despacito ft. Daddy Yankee 11 difficulties- Mapper
- Monstrata
- Status
- ranked
- Hardest
- 5.27*
- Plays
- 2,489,562
- Favourites
- 1,232
- Ranked
- 19-10-2017
Hurts - Illuminated 3 difficulties- Mapper
- Autumn
- Status
- ranked
- Hardest
- 3.59*
- Plays
- 525,433
- Favourites
- 468
- Ranked
- 16-12-2014
Ho-Ong-I - Hide and Seek 6 difficulties- Mapper
- neonat
- Status
- ranked
- Hardest
- 3.62*
- Plays
- 2,495,161
- Favourites
- 2,254
- Ranked
- 03-05-2014
Top plays over time
Nothing at that depth yet. A career is ranked against itself in the background, so the first look can come up empty.
The figure is what the play was worth when it reached its best place, under the pp system live then; in brackets is what osu! says it is worth today, where a rework has moved it. A play's place can only get worse while a pp system runs, so the place shown is the one it reached the moment it arrived: when it was set, or when a rework re-priced everything in its favour. Plays osu! has dropped are here too, from what osu!track saw. These values are reconstructed, not osu!'s own. osu! does not publish what a play was worth in the past, so every historical figure here is recomputed from the map file under the pp system of the day, and lands within a few pp of the real number rather than on it. Two plays within about 5% of each other can therefore be listed the wrong way round.































































































































































































































































































































































