Name history
| threerang | |
| 압박당하고싶단소망한적없어요? | |
| Threerang | |
| 스리스리랑 | |
| 화랑의 태권도 교실 | |
| 화랑의태권도학원 | |
| THREERANG | |
| 로하이투미들투미들투미들형님? | |
| 화랑의 솟권도 교실 | |
| MORE PRESSURE |
| threerang vs Hwoarang | 51–37 | 57.95% |
| threerang vs Paul | 43–40 | 51.81% |
| threerang vs Dragunov | 29–37 | 43.94% |
| threerang vs King | 33–30 | 52.38% |
| threerang vs Victor | 30–31 | 49.18% |
| threerang vs Kazuya | 27–31 | 46.55% |
| threerang vs Reina | 30–26 | 53.57% |
| threerang vs Lili | 24–28 | 46.15% |
| threerang vs Bryan | 24–26 | 48.00% |
| threerang vs Jin | 21–28 | 42.86% |
| threerang vs Devil Jin | 22–24 | 47.83% |
| threerang vs Jun | 24–21 | 53.33% |
| threerang vs Azucena | 19–24 | 44.19% |
| threerang vs Yoshimitsu | 24–17 | 58.54% |
| threerang vs Law | 18–22 | 45.00% |
| threerang vs Steve | 16–23 | 41.03% |
| threerang vs Lee | 27–11 | 71.05% |
| threerang vs Feng | 19–18 | 51.35% |
| threerang vs Kuma | 24–13 | 64.86% |
| threerang vs Heihachi | 14–23 | 37.84% |
| threerang vs Asuka | 14–19 | 42.42% |
| threerang vs Alisa | 17–16 | 51.52% |
| threerang vs Eddy | 18–13 | 58.06% |
| threerang vs Xiaoyu | 11–19 | 36.67% |
| threerang vs Lars | 18–12 | 60.00% |
| threerang vs Nina | 14–16 | 46.67% |
| threerang vs Leroy | 12–17 | 41.38% |
| threerang vs Claudio | 7–21 | 25.00% |
| threerang vs Leo | 9–15 | 37.50% |
| threerang vs Zafina | 10–12 | 45.45% |
| threerang vs Jack-8 | 6–15 | 28.57% |
| threerang vs Raven | 8–10 | 44.44% |
| threerang vs Lidia | 5–11 | 31.25% |
| threerang vs Shaheen | 9–1 | 90.00% |
| threerang vs Panda | 4–3 | 57.14% |
| threerang vs Clive | 2–2 | 50.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.