| 1xii vs King | 15–22 | 40.54% |
| 1xii vs Hwoarang | 17–19 | 47.22% |
| 1xii vs Law | 11–24 | 31.43% |
| 1xii vs Steve | 14–19 | 42.42% |
| 1xii vs Kazuya | 10–21 | 32.26% |
| 1xii vs Jin | 9–21 | 30.00% |
| 1xii vs Reina | 10–16 | 38.46% |
| 1xii vs Yoshimitsu | 9–15 | 37.50% |
| 1xii vs Dragunov | 8–15 | 34.78% |
| 1xii vs Lars | 5–17 | 22.73% |
| 1xii vs Jun | 7–12 | 36.84% |
| 1xii vs Paul | 6–10 | 37.50% |
| 1xii vs Armor King | 6–10 | 37.50% |
| 1xii vs Asuka | 4–9 | 30.77% |
| 1xii vs Devil Jin | 4–8 | 33.33% |
| 1xii vs Victor | 4–8 | 33.33% |
| 1xii vs Bryan | 3–8 | 27.27% |
| 1xii vs Azucena | 4–7 | 36.36% |
| 1xii vs Alisa | 2–8 | 20.00% |
| 1xii vs Lili | 3–6 | 33.33% |
| 1xii vs Eddy | 2–7 | 22.22% |
| 1xii vs Leo | 2–6 | 25.00% |
| 1xii vs Nina | 2–6 | 25.00% |
| 1xii vs Lee | 5–3 | 62.50% |
| 1xii vs Leroy | 5–3 | 62.50% |
| 1xii vs Feng | 3–4 | 42.86% |
| 1xii vs Shaheen | 2–4 | 33.33% |
| 1xii vs Xiaoyu | 2–3 | 40.00% |
| 1xii vs Claudio | 1–4 | 20.00% |
| 1xii vs Jack-8 | 0–4 | 0.00% |
| 1xii vs Kuma | 2–1 | 66.67% |
| 1xii vs Zafina | 1–2 | 33.33% |
| 1xii vs Anna | 0–3 | 0.00% |
| 1xii vs Fahkumram | 0–3 | 0.00% |
| 1xii vs Miary Zo | 0–3 | 0.00% |
| 1xii vs Panda | 0–2 | 0.00% |
| 1xii vs Lidia | 0–2 | 0.00% |
| 1xii vs Heihachi | 1–1 | 50.00% |
| 1xii vs Clive | 0–2 | 0.00% |
| 1xii vs Raven | 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.