| monte50 vs Hwoarang | 133–106 | 55.65% |
| monte50 vs Heihachi | 90–52 | 63.38% |
| monte50 vs Dragunov | 79–52 | 60.31% |
| monte50 vs Kazuya | 76–40 | 65.52% |
| monte50 vs Jack-8 | 63–52 | 54.78% |
| monte50 vs Raven | 64–46 | 58.18% |
| monte50 vs King | 60–41 | 59.41% |
| monte50 vs Lee | 46–52 | 46.94% |
| monte50 vs Steve | 63–26 | 70.79% |
| monte50 vs Bryan | 54–28 | 65.85% |
| monte50 vs Feng | 43–38 | 53.09% |
| monte50 vs Jin | 31–47 | 39.74% |
| monte50 vs Claudio | 31–40 | 43.66% |
| monte50 vs Victor | 34–29 | 53.97% |
| monte50 vs Paul | 41–20 | 67.21% |
| monte50 vs Lili | 25–34 | 42.37% |
| monte50 vs Asuka | 34–22 | 60.71% |
| monte50 vs Reina | 29–27 | 51.79% |
| monte50 vs Yoshimitsu | 23–29 | 44.23% |
| monte50 vs Xiaoyu | 27–25 | 51.92% |
| monte50 vs Alisa | 24–28 | 46.15% |
| monte50 vs Shaheen | 21–29 | 42.00% |
| monte50 vs Eddy | 17–28 | 37.78% |
| monte50 vs Lars | 27–14 | 65.85% |
| monte50 vs Jun | 24–17 | 58.54% |
| monte50 vs Zafina | 16–24 | 40.00% |
| monte50 vs Law | 17–16 | 51.52% |
| monte50 vs Leroy | 18–15 | 54.55% |
| monte50 vs Devil Jin | 15–17 | 46.88% |
| monte50 vs Nina | 15–15 | 50.00% |
| monte50 vs Azucena | 11–19 | 36.67% |
| monte50 vs Lidia | 9–15 | 37.50% |
| monte50 vs Leo | 9–5 | 64.29% |
| monte50 vs Panda | 6–6 | 50.00% |
| monte50 vs Kuma | 6–5 | 54.55% |
| monte50 vs Clive | 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.