| ReesesPieces vs Jin | 52–43 | 54.74% |
| ReesesPieces vs Bryan | 57–26 | 68.67% |
| ReesesPieces vs Reina | 28–37 | 43.08% |
| ReesesPieces vs Lars | 33–30 | 52.38% |
| ReesesPieces vs Lee | 37–24 | 60.66% |
| ReesesPieces vs Hwoarang | 31–29 | 51.67% |
| ReesesPieces vs Eddy | 38–22 | 63.33% |
| ReesesPieces vs Steve | 31–28 | 52.54% |
| ReesesPieces vs Law | 39–18 | 68.42% |
| ReesesPieces vs Paul | 27–29 | 48.21% |
| ReesesPieces vs Dragunov | 33–23 | 58.93% |
| ReesesPieces vs King | 35–20 | 63.64% |
| ReesesPieces vs Jun | 38–16 | 70.37% |
| ReesesPieces vs Azucena | 28–22 | 56.00% |
| ReesesPieces vs Asuka | 30–19 | 61.22% |
| ReesesPieces vs Devil Jin | 26–22 | 54.17% |
| ReesesPieces vs Yoshimitsu | 22–24 | 47.83% |
| ReesesPieces vs Victor | 27–18 | 60.00% |
| ReesesPieces vs Xiaoyu | 24–17 | 58.54% |
| ReesesPieces vs Nina | 24–16 | 60.00% |
| ReesesPieces vs Kazuya | 27–12 | 69.23% |
| ReesesPieces vs Heihachi | 21–18 | 53.85% |
| ReesesPieces vs Lili | 23–15 | 60.53% |
| ReesesPieces vs Zafina | 25–10–1 | 71.43% |
| ReesesPieces vs Feng | 17–15 | 53.12% |
| ReesesPieces vs Leo | 17–15 | 53.12% |
| ReesesPieces vs Alisa | 15–17 | 46.88% |
| ReesesPieces vs Jack-8 | 14–15 | 48.28% |
| ReesesPieces vs Raven | 17–12 | 58.62% |
| ReesesPieces vs Claudio | 12–15 | 44.44% |
| ReesesPieces vs Shaheen | 13–10 | 56.52% |
| ReesesPieces vs Leroy | 14–9 | 60.87% |
| ReesesPieces vs Kuma | 8–12 | 40.00% |
| ReesesPieces vs Lidia | 6–10 | 37.50% |
| ReesesPieces vs Clive | 11–4 | 73.33% |
| ReesesPieces vs Panda | 0–2 | 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.