| bagularz vs Jin | 19–15 | 55.88% |
| bagularz vs Reina | 19–14 | 57.58% |
| bagularz vs King | 15–16 | 48.39% |
| bagularz vs Law | 12–18 | 40.00% |
| bagularz vs Kazuya | 16–14 | 53.33% |
| bagularz vs Steve | 13–15 | 46.43% |
| bagularz vs Jun | 10–17 | 37.04% |
| bagularz vs Yoshimitsu | 15–11 | 57.69% |
| bagularz vs Hwoarang | 12–12 | 50.00% |
| bagularz vs Bryan | 15–9 | 62.50% |
| bagularz vs Dragunov | 12–11 | 52.17% |
| bagularz vs Azucena | 10–13 | 43.48% |
| bagularz vs Lidia | 12–10 | 54.55% |
| bagularz vs Heihachi | 8–13 | 38.10% |
| bagularz vs Lili | 8–10 | 44.44% |
| bagularz vs Victor | 9–9 | 50.00% |
| bagularz vs Xiaoyu | 7–10 | 41.18% |
| bagularz vs Devil Jin | 6–10 | 37.50% |
| bagularz vs Paul | 5–10 | 33.33% |
| bagularz vs Leo | 8–6 | 57.14% |
| bagularz vs Lee | 4–9 | 30.77% |
| bagularz vs Eddy | 7–5 | 58.33% |
| bagularz vs Clive | 4–8 | 33.33% |
| bagularz vs Asuka | 5–6 | 45.45% |
| bagularz vs Lars | 5–6 | 45.45% |
| bagularz vs Alisa | 5–5 | 50.00% |
| bagularz vs Shaheen | 3–7 | 30.00% |
| bagularz vs Nina | 4–5 | 44.44% |
| bagularz vs Feng | 1–7 | 12.50% |
| bagularz vs Leroy | 4–4 | 50.00% |
| bagularz vs Zafina | 4–3 | 57.14% |
| bagularz vs Panda | 4–2 | 66.67% |
| bagularz vs Jack-8 | 2–3 | 40.00% |
| bagularz vs Kuma | 3–2 | 60.00% |
| bagularz vs Claudio | 2–1 | 66.67% |
| bagularz vs Raven | 0–2 | 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.