| Tobal vs Steve | 30–19 | 61.22% |
| Tobal vs King | 25–18 | 58.14% |
| Tobal vs Hwoarang | 19–18 | 51.35% |
| Tobal vs Kazuya | 21–13 | 61.76% |
| Tobal vs Reina | 17–14 | 54.84% |
| Tobal vs Dragunov | 18–12 | 60.00% |
| Tobal vs Law | 11–17 | 39.29% |
| Tobal vs Azucena | 16–9 | 64.00% |
| Tobal vs Devil Jin | 12–12 | 50.00% |
| Tobal vs Armor King | 11–12 | 47.83% |
| Tobal vs Lars | 7–14 | 33.33% |
| Tobal vs Paul | 10–10 | 50.00% |
| Tobal vs Eddy | 16–4 | 80.00% |
| Tobal vs Yoshimitsu | 9–10 | 47.37% |
| Tobal vs Jin | 8–11 | 42.11% |
| Tobal vs Bryan | 13–5 | 72.22% |
| Tobal vs Alisa | 10–8 | 55.56% |
| Tobal vs Xiaoyu | 9–6 | 60.00% |
| Tobal vs Jun | 9–6 | 60.00% |
| Tobal vs Heihachi | 9–6 | 60.00% |
| Tobal vs Clive | 11–3 | 78.57% |
| Tobal vs Jack-8 | 5–8 | 38.46% |
| Tobal vs Victor | 6–7 | 46.15% |
| Tobal vs Lili | 4–7 | 36.36% |
| Tobal vs Feng | 3–7 | 30.00% |
| Tobal vs Lee | 6–4 | 60.00% |
| Tobal vs Nina | 5–4 | 55.56% |
| Tobal vs Fahkumram | 3–6 | 33.33% |
| Tobal vs Asuka | 4–4 | 50.00% |
| Tobal vs Kuma | 3–4 | 42.86% |
| Tobal vs Leroy | 4–3 | 57.14% |
| Tobal vs Lidia | 5–1 | 83.33% |
| Tobal vs Panda | 2–3 | 40.00% |
| Tobal vs Raven | 1–3 | 25.00% |
| Tobal vs Anna | 4–0 | 100.00% |
| Tobal vs Zafina | 2–1 | 66.67% |
| Tobal vs Leo | 0–2 | 0.00% |
| Tobal vs Claudio | 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.