| Montoyoto vs Kazuya | 31–32 | 49.21% |
| Montoyoto vs Heihachi | 21–37 | 36.21% |
| Montoyoto vs Law | 27–18 | 60.00% |
| Montoyoto vs Reina | 17–28 | 37.78% |
| Montoyoto vs Bryan | 21–16 | 56.76% |
| Montoyoto vs Jin | 12–23 | 34.29% |
| Montoyoto vs Steve | 14–17 | 45.16% |
| Montoyoto vs Hwoarang | 11–18 | 37.93% |
| Montoyoto vs Lili | 12–17 | 41.38% |
| Montoyoto vs Paul | 11–17 | 39.29% |
| Montoyoto vs King | 9–19 | 32.14% |
| Montoyoto vs Jun | 8–20 | 28.57% |
| Montoyoto vs Azucena | 13–10 | 56.52% |
| Montoyoto vs Dragunov | 8–13 | 38.10% |
| Montoyoto vs Lidia | 11–10 | 52.38% |
| Montoyoto vs Victor | 11–8 | 57.89% |
| Montoyoto vs Eddy | 11–8 | 57.89% |
| Montoyoto vs Lee | 5–11 | 31.25% |
| Montoyoto vs Claudio | 8–7 | 53.33% |
| Montoyoto vs Yoshimitsu | 8–6 | 57.14% |
| Montoyoto vs Lars | 4–9 | 30.77% |
| Montoyoto vs Asuka | 1–10 | 9.09% |
| Montoyoto vs Alisa | 4–7 | 36.36% |
| Montoyoto vs Devil Jin | 2–7 | 22.22% |
| Montoyoto vs Xiaoyu | 5–3 | 62.50% |
| Montoyoto vs Leo | 4–4 | 50.00% |
| Montoyoto vs Nina | 5–3 | 62.50% |
| Montoyoto vs Kuma | 5–3 | 62.50% |
| Montoyoto vs Zafina | 4–3 | 57.14% |
| Montoyoto vs Feng | 0–5 | 0.00% |
| Montoyoto vs Panda | 3–1 | 75.00% |
| Montoyoto vs Jack-8 | 1–2 | 33.33% |
| Montoyoto vs Shaheen | 2–1 | 66.67% |
| Montoyoto vs Leroy | 1–0 | 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.