| todomas vs King | 23–20 | 53.49% |
| todomas vs Jin | 18–18 | 50.00% |
| todomas vs Reina | 11–20 | 35.48% |
| todomas vs Kazuya | 10–18 | 35.71% |
| todomas vs Law | 10–17 | 37.04% |
| todomas vs Hwoarang | 13–13 | 50.00% |
| todomas vs Steve | 11–14 | 44.00% |
| todomas vs Dragunov | 11–13 | 45.83% |
| todomas vs Jun | 12–12 | 50.00% |
| todomas vs Asuka | 9–13 | 40.91% |
| todomas vs Lars | 12–8 | 60.00% |
| todomas vs Xiaoyu | 10–8 | 55.56% |
| todomas vs Bryan | 10–8 | 55.56% |
| todomas vs Azucena | 9–8 | 52.94% |
| todomas vs Clive | 5–11 | 31.25% |
| todomas vs Nina | 6–9 | 40.00% |
| todomas vs Leroy | 8–7 | 53.33% |
| todomas vs Lidia | 3–12 | 20.00% |
| todomas vs Lili | 5–8 | 38.46% |
| todomas vs Eddy | 7–4 | 63.64% |
| todomas vs Yoshimitsu | 6–4 | 60.00% |
| todomas vs Victor | 6–4 | 60.00% |
| todomas vs Raven | 8–1 | 88.89% |
| todomas vs Devil Jin | 3–5 | 37.50% |
| todomas vs Heihachi | 2–6 | 25.00% |
| todomas vs Anna | 5–3 | 62.50% |
| todomas vs Alisa | 4–3 | 57.14% |
| todomas vs Paul | 1–5 | 16.67% |
| todomas vs Feng | 2–4 | 33.33% |
| todomas vs Leo | 2–4 | 33.33% |
| todomas vs Jack-8 | 2–2 | 50.00% |
| todomas vs Lee | 2–2 | 50.00% |
| todomas vs Zafina | 4–0 | 100.00% |
| todomas vs Claudio | 2–1 | 66.67% |
| todomas vs Kuma | 0–3 | 0.00% |
| todomas vs Fahkumram | 1–2 | 33.33% |
| todomas vs Shaheen | 0–1 | 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.