| Toman_1st vs Law | 24–2 | 92.31% |
| Toman_1st vs Heihachi | 21–5 | 80.77% |
| Toman_1st vs Steve | 22–2 | 91.67% |
| Toman_1st vs Lidia | 17–6 | 73.91% |
| Toman_1st vs King | 16–3 | 84.21% |
| Toman_1st vs Eddy | 14–3 | 82.35% |
| Toman_1st vs Reina | 15–1 | 93.75% |
| Toman_1st vs Lars | 14–1 | 93.33% |
| Toman_1st vs Jin | 14–0 | 100.00% |
| Toman_1st vs Leroy | 11–3 | 78.57% |
| Toman_1st vs Jun | 14–0 | 100.00% |
| Toman_1st vs Raven | 12–2 | 85.71% |
| Toman_1st vs Kazuya | 11–2 | 84.62% |
| Toman_1st vs Azucena | 11–2 | 84.62% |
| Toman_1st vs Xiaoyu | 12–0 | 100.00% |
| Toman_1st vs Asuka | 12–0 | 100.00% |
| Toman_1st vs Lee | 8–3 | 72.73% |
| Toman_1st vs Devil Jin | 10–0 | 100.00% |
| Toman_1st vs Hwoarang | 9–0 | 100.00% |
| Toman_1st vs Alisa | 5–3 | 62.50% |
| Toman_1st vs Bryan | 7–0 | 100.00% |
| Toman_1st vs Jack-8 | 7–0 | 100.00% |
| Toman_1st vs Dragunov | 5–2 | 71.43% |
| Toman_1st vs Leo | 7–0 | 100.00% |
| Toman_1st vs Nina | 6–0 | 100.00% |
| Toman_1st vs Clive | 6–0 | 100.00% |
| Toman_1st vs Yoshimitsu | 5–0 | 100.00% |
| Toman_1st vs Claudio | 4–1 | 80.00% |
| Toman_1st vs Anna | 4–1 | 80.00% |
| Toman_1st vs Feng | 4–0 | 100.00% |
| Toman_1st vs Lili | 4–0 | 100.00% |
| Toman_1st vs Paul | 3–0 | 100.00% |
| Toman_1st vs Shaheen | 3–0 | 100.00% |
| Toman_1st vs Victor | 3–0 | 100.00% |
| Toman_1st vs Kuma | 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.