| Mentor77 vs Jin | 72–60 | 54.55% |
| Mentor77 vs Kazuya | 58–58 | 50.00% |
| Mentor77 vs Armor King | 44–58 | 43.14% |
| Mentor77 vs Reina | 47–51 | 47.96% |
| Mentor77 vs Law | 48–49 | 49.48% |
| Mentor77 vs Dragunov | 46–50 | 47.92% |
| Mentor77 vs Bryan | 49–44 | 52.69% |
| Mentor77 vs Heihachi | 39–39 | 50.00% |
| Mentor77 vs Hwoarang | 41–35 | 53.95% |
| Mentor77 vs King | 43–31 | 58.11% |
| Mentor77 vs Yoshimitsu | 27–44 | 38.03% |
| Mentor77 vs Steve | 39–30 | 56.52% |
| Mentor77 vs Paul | 26–34 | 43.33% |
| Mentor77 vs Anna | 20–29 | 40.82% |
| Mentor77 vs Jun | 16–31 | 34.04% |
| Mentor77 vs Lili | 25–21 | 54.35% |
| Mentor77 vs Feng | 17–26 | 39.53% |
| Mentor77 vs Lee | 18–25 | 41.86% |
| Mentor77 vs Asuka | 18–24 | 42.86% |
| Mentor77 vs Clive | 20–21 | 48.78% |
| Mentor77 vs Fahkumram | 16–25 | 39.02% |
| Mentor77 vs Leo | 21–19 | 52.50% |
| Mentor77 vs Nina | 19–19 | 50.00% |
| Mentor77 vs Azucena | 14–16 | 46.67% |
| Mentor77 vs Devil Jin | 12–16 | 42.86% |
| Mentor77 vs Alisa | 9–17 | 34.62% |
| Mentor77 vs Xiaoyu | 16–9 | 64.00% |
| Mentor77 vs Raven | 10–14 | 41.67% |
| Mentor77 vs Eddy | 14–10 | 58.33% |
| Mentor77 vs Lidia | 15–9 | 62.50% |
| Mentor77 vs Lars | 6–17 | 26.09% |
| Mentor77 vs Jack-8 | 9–11 | 45.00% |
| Mentor77 vs Leroy | 13–7 | 65.00% |
| Mentor77 vs Miary Zo | 10–7 | 58.82% |
| Mentor77 vs Claudio | 7–9 | 43.75% |
| Mentor77 vs Zafina | 6–10 | 37.50% |
| Mentor77 vs Victor | 6–7 | 46.15% |
| Mentor77 vs Shaheen | 7–5 | 58.33% |
| Mentor77 vs Kuma | 2–6 | 25.00% |
| Mentor77 vs Panda | 1–5 | 16.67% |
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.