| AsepLontong vs Steve | 46–59 | 43.81% |
| AsepLontong vs Jin | 12–28 | 30.00% |
| AsepLontong vs Kazuya | 13–22 | 37.14% |
| AsepLontong vs King | 7–17 | 29.17% |
| AsepLontong vs Victor | 11–13 | 45.83% |
| AsepLontong vs Dragunov | 4–19 | 17.39% |
| AsepLontong vs Reina | 15–8 | 65.22% |
| AsepLontong vs Bryan | 9–12 | 42.86% |
| AsepLontong vs Lili | 9–12 | 42.86% |
| AsepLontong vs Asuka | 10–10 | 50.00% |
| AsepLontong vs Hwoarang | 3–15 | 16.67% |
| AsepLontong vs Heihachi | 4–12 | 25.00% |
| AsepLontong vs Fahkumram | 5–10 | 33.33% |
| AsepLontong vs Lars | 4–10 | 28.57% |
| AsepLontong vs Yoshimitsu | 5–8 | 38.46% |
| AsepLontong vs Devil Jin | 6–6 | 50.00% |
| AsepLontong vs Leo | 7–5 | 58.33% |
| AsepLontong vs Clive | 6–5 | 54.55% |
| AsepLontong vs Law | 3–7 | 30.00% |
| AsepLontong vs Alisa | 0–10 | 0.00% |
| AsepLontong vs Lee | 2–7 | 22.22% |
| AsepLontong vs Azucena | 2–7 | 22.22% |
| AsepLontong vs Paul | 6–2 | 75.00% |
| AsepLontong vs Jun | 2–6 | 25.00% |
| AsepLontong vs Eddy | 4–4 | 50.00% |
| AsepLontong vs Feng | 1–6 | 14.29% |
| AsepLontong vs Claudio | 2–5 | 28.57% |
| AsepLontong vs Shaheen | 2–5 | 28.57% |
| AsepLontong vs Lidia | 4–3 | 57.14% |
| AsepLontong vs Xiaoyu | 2–4 | 33.33% |
| AsepLontong vs Kuma | 0–6 | 0.00% |
| AsepLontong vs Leroy | 1–4 | 20.00% |
| AsepLontong vs Anna | 3–2 | 60.00% |
| AsepLontong vs Nina | 2–1 | 66.67% |
| AsepLontong vs Zafina | 2–1 | 66.67% |
| AsepLontong vs Raven | 0–3 | 0.00% |
| AsepLontong vs Jack-8 | 2–0 | 100.00% |
| AsepLontong vs Panda | 0–1 | 0.00% |
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.