| GR@PES vs Kazuya | 61–55 | 52.59% |
| GR@PES vs Jin | 61–54 | 53.04% |
| GR@PES vs King | 59–47 | 55.66% |
| GR@PES vs Bryan | 47–40 | 54.02% |
| GR@PES vs Dragunov | 39–33 | 54.17% |
| GR@PES vs Reina | 33–35 | 48.53% |
| GR@PES vs Paul | 24–41 | 36.92% |
| GR@PES vs Law | 30–32 | 48.39% |
| GR@PES vs Hwoarang | 25–37 | 40.32% |
| GR@PES vs Steve | 33–29 | 53.23% |
| GR@PES vs Asuka | 36–22 | 62.07% |
| GR@PES vs Lee | 20–38 | 34.48% |
| GR@PES vs Jun | 37–16 | 69.81% |
| GR@PES vs Lili | 26–26 | 50.00% |
| GR@PES vs Yoshimitsu | 24–24 | 50.00% |
| GR@PES vs Lars | 19–24 | 44.19% |
| GR@PES vs Xiaoyu | 26–16 | 61.90% |
| GR@PES vs Alisa | 18–23 | 43.90% |
| GR@PES vs Nina | 16–22 | 42.11% |
| GR@PES vs Azucena | 19–15 | 55.88% |
| GR@PES vs Victor | 20–12 | 62.50% |
| GR@PES vs Lidia | 20–12 | 62.50% |
| GR@PES vs Leo | 16–15 | 51.61% |
| GR@PES vs Devil Jin | 19–10 | 65.52% |
| GR@PES vs Feng | 19–10 | 65.52% |
| GR@PES vs Kuma | 15–13 | 53.57% |
| GR@PES vs Eddy | 17–11 | 60.71% |
| GR@PES vs Raven | 15–12 | 55.56% |
| GR@PES vs Leroy | 15–10 | 60.00% |
| GR@PES vs Jack-8 | 9–8 | 52.94% |
| GR@PES vs Zafina | 3–9 | 25.00% |
| GR@PES vs Claudio | 3–7 | 30.00% |
| GR@PES vs Shaheen | 5–4 | 55.56% |
| GR@PES vs Clive | 5–4 | 55.56% |
| GR@PES vs Heihachi | 2–6 | 25.00% |
| GR@PES vs Panda | 5–2 | 71.43% |
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.