| Tobal_IN vs Kazuya | 27–15 | 64.29% |
| Tobal_IN vs Law | 17–14 | 54.84% |
| Tobal_IN vs Jin | 11–15 | 42.31% |
| Tobal_IN vs Steve | 21–5 | 80.77% |
| Tobal_IN vs Lili | 13–12 | 52.00% |
| Tobal_IN vs King | 11–12 | 47.83% |
| Tobal_IN vs Hwoarang | 12–9 | 57.14% |
| Tobal_IN vs Dragunov | 11–7 | 61.11% |
| Tobal_IN vs Bryan | 13–4 | 76.47% |
| Tobal_IN vs Feng | 10–7 | 58.82% |
| Tobal_IN vs Reina | 12–5 | 70.59% |
| Tobal_IN vs Eddy | 9–8 | 52.94% |
| Tobal_IN vs Leroy | 7–8 | 46.67% |
| Tobal_IN vs Jun | 4–10 | 28.57% |
| Tobal_IN vs Yoshimitsu | 5–8 | 38.46% |
| Tobal_IN vs Lee | 7–5 | 58.33% |
| Tobal_IN vs Asuka | 9–2 | 81.82% |
| Tobal_IN vs Azucena | 6–3 | 66.67% |
| Tobal_IN vs Victor | 3–6 | 33.33% |
| Tobal_IN vs Paul | 5–3 | 62.50% |
| Tobal_IN vs Devil Jin | 5–3 | 62.50% |
| Tobal_IN vs Xiaoyu | 0–7 | 0.00% |
| Tobal_IN vs Nina | 2–5 | 28.57% |
| Tobal_IN vs Leo | 1–4 | 20.00% |
| Tobal_IN vs Claudio | 2–3 | 40.00% |
| Tobal_IN vs Lidia | 4–1 | 80.00% |
| Tobal_IN vs Lars | 3–1 | 75.00% |
| Tobal_IN vs Alisa | 2–2 | 50.00% |
| Tobal_IN vs Clive | 3–0 | 100.00% |
| Tobal_IN vs Jack-8 | 1–1 | 50.00% |
| Tobal_IN vs Kuma | 2–0 | 100.00% |
| Tobal_IN vs Heihachi | 0–2 | 0.00% |
| Tobal_IN vs Anna | 0–2 | 0.00% |
| Tobal_IN vs Panda | 0–1 | 0.00% |
| Tobal_IN vs Raven | 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.