| Gr1mmac vs Kazuya | 101–93 | 52.06% |
| Gr1mmac vs Jin | 68–79 | 46.26% |
| Gr1mmac vs Reina | 72–74 | 49.32% |
| Gr1mmac vs Hwoarang | 52–71 | 42.28% |
| Gr1mmac vs Bryan | 73–42 | 63.48% |
| Gr1mmac vs King | 53–61 | 46.49% |
| Gr1mmac vs Yoshimitsu | 35–50 | 41.18% |
| Gr1mmac vs Paul | 28–49 | 36.36% |
| Gr1mmac vs Law | 24–48 | 33.33% |
| Gr1mmac vs Dragunov | 28–41 | 40.58% |
| Gr1mmac vs Steve | 28–37 | 43.08% |
| Gr1mmac vs Heihachi | 35–30 | 53.85% |
| Gr1mmac vs Lars | 24–40 | 37.50% |
| Gr1mmac vs Lili | 23–35 | 39.66% |
| Gr1mmac vs Lee | 22–35 | 38.60% |
| Gr1mmac vs Lidia | 25–27 | 48.08% |
| Gr1mmac vs Jun | 22–24 | 47.83% |
| Gr1mmac vs Nina | 18–26 | 40.91% |
| Gr1mmac vs Azucena | 17–25 | 40.48% |
| Gr1mmac vs Eddy | 15–27 | 35.71% |
| Gr1mmac vs Devil Jin | 18–23 | 43.90% |
| Gr1mmac vs Asuka | 14–25 | 35.90% |
| Gr1mmac vs Jack-8 | 19–17 | 52.78% |
| Gr1mmac vs Victor | 13–23 | 36.11% |
| Gr1mmac vs Leo | 20–15 | 57.14% |
| Gr1mmac vs Xiaoyu | 18–16 | 52.94% |
| Gr1mmac vs Leroy | 14–14 | 50.00% |
| Gr1mmac vs Feng | 9–15 | 37.50% |
| Gr1mmac vs Alisa | 5–19 | 20.83% |
| Gr1mmac vs Claudio | 13–9 | 59.09% |
| Gr1mmac vs Raven | 9–13 | 40.91% |
| Gr1mmac vs Kuma | 6–15 | 28.57% |
| Gr1mmac vs Zafina | 9–11 | 45.00% |
| Gr1mmac vs Shaheen | 10–9 | 52.63% |
| Gr1mmac vs Clive | 3–13 | 18.75% |
| Gr1mmac vs Panda | 2–3 | 40.00% |
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.