| Training vs Kazuya | 16–26 | 38.10% |
| Training vs Jin | 19–21 | 47.50% |
| Training vs Law | 16–18 | 47.06% |
| Training vs Armor King | 10–17–1 | 37.04% |
| Training vs Dragunov | 11–16 | 40.74% |
| Training vs King | 11–15 | 42.31% |
| Training vs Bryan | 10–9 | 52.63% |
| Training vs Eddy | 8–11 | 42.11% |
| Training vs Hwoarang | 6–11 | 35.29% |
| Training vs Lee | 9–8 | 52.94% |
| Training vs Anna | 9–8 | 52.94% |
| Training vs Clive | 6–9 | 40.00% |
| Training vs Steve | 9–5 | 64.29% |
| Training vs Claudio | 11–2 | 84.62% |
| Training vs Nina | 6–7 | 46.15% |
| Training vs Heihachi | 5–7 | 41.67% |
| Training vs Azucena | 4–7 | 36.36% |
| Training vs Asuka | 4–6 | 40.00% |
| Training vs Lidia | 6–4 | 60.00% |
| Training vs Xiaoyu | 4–5 | 44.44% |
| Training vs Paul | 6–2 | 75.00% |
| Training vs Devil Jin | 4–4 | 50.00% |
| Training vs Victor | 6–2 | 75.00% |
| Training vs Fahkumram | 0–8 | 0.00% |
| Training vs Yoshimitsu | 6–1 | 85.71% |
| Training vs Lili | 1–5 | 16.67% |
| Training vs Reina | 4–2 | 66.67% |
| Training vs Miary Zo | 0–6 | 0.00% |
| Training vs Leroy | 2–3 | 40.00% |
| Training vs Jun | 2–3 | 40.00% |
| Training vs Leo | 2–2 | 50.00% |
| Training vs Alisa | 2–2 | 50.00% |
| Training vs Shaheen | 2–2 | 50.00% |
| Training vs Feng | 2–1 | 66.67% |
| Training vs Lars | 2–1 | 66.67% |
| Training vs Kuma | 2–0 | 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.