| ban貪 vs Steve | 33–29 | 53.23% |
| ban貪 vs Bryan | 22–38 | 36.67% |
| ban貪 vs Armor King | 18–28 | 39.13% |
| ban貪 vs Jin | 16–29 | 35.56% |
| ban貪 vs Dragunov | 24–15 | 61.54% |
| ban貪 vs King | 11–21 | 34.38% |
| ban貪 vs Hwoarang | 11–20 | 35.48% |
| ban貪 vs Kazuya | 15–14 | 51.72% |
| ban貪 vs Devil Jin | 13–16 | 44.83% |
| ban貪 vs Reina | 13–14 | 48.15% |
| ban貪 vs Law | 12–10 | 54.55% |
| ban貪 vs Asuka | 12–8 | 60.00% |
| ban貪 vs Eddy | 10–9 | 52.63% |
| ban貪 vs Lars | 6–12 | 33.33% |
| ban貪 vs Lee | 9–9 | 50.00% |
| ban貪 vs Miary Zo | 6–12 | 33.33% |
| ban貪 vs Paul | 7–10 | 41.18% |
| ban貪 vs Fahkumram | 7–10 | 41.18% |
| ban貪 vs Yoshimitsu | 8–8 | 50.00% |
| ban貪 vs Lidia | 4–12 | 25.00% |
| ban貪 vs Azucena | 7–6 | 53.85% |
| ban貪 vs Victor | 8–4 | 66.67% |
| ban貪 vs Anna | 9–2 | 81.82% |
| ban貪 vs Lili | 3–7 | 30.00% |
| ban貪 vs Heihachi | 4–6 | 40.00% |
| ban貪 vs Xiaoyu | 2–7 | 22.22% |
| ban貪 vs Jack-8 | 1–7 | 12.50% |
| ban貪 vs Leo | 3–5 | 37.50% |
| ban貪 vs Nina | 1–7 | 12.50% |
| ban貪 vs Jun | 3–4 | 42.86% |
| ban貪 vs Alisa | 1–5 | 16.67% |
| ban貪 vs Claudio | 2–2 | 50.00% |
| ban貪 vs Leroy | 2–2 | 50.00% |
| ban貪 vs Panda | 2–1 | 66.67% |
| ban貪 vs Raven | 1–2 | 33.33% |
| ban貪 vs Clive | 1–2 | 33.33% |
| ban貪 vs Feng | 0–2 | 0.00% |
| ban貪 vs Shaheen | 0–1 | 0.00% |
| ban貪 vs Zafina | 1–0 | 100.00% |
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.