| 6auce vs Kazuya | 26–12 | 68.42% |
| 6auce vs King | 21–10 | 67.74% |
| 6auce vs Reina | 21–9 | 70.00% |
| 6auce vs Hwoarang | 20–8 | 71.43% |
| 6auce vs Heihachi | 17–9 | 65.38% |
| 6auce vs Steve | 20–5 | 80.00% |
| 6auce vs Jin | 17–6 | 73.91% |
| 6auce vs Bryan | 13–10 | 56.52% |
| 6auce vs Dragunov | 17–5 | 77.27% |
| 6auce vs Clive | 18–4 | 81.82% |
| 6auce vs Lili | 16–4 | 80.00% |
| 6auce vs Lee | 9–7 | 56.25% |
| 6auce vs Yoshimitsu | 12–3 | 80.00% |
| 6auce vs Law | 14–0 | 100.00% |
| 6auce vs Jun | 10–4 | 71.43% |
| 6auce vs Victor | 10–4 | 71.43% |
| 6auce vs Eddy | 10–4 | 71.43% |
| 6auce vs Devil Jin | 11–2 | 84.62% |
| 6auce vs Nina | 10–3 | 76.92% |
| 6auce vs Lars | 10–2 | 83.33% |
| 6auce vs Paul | 6–4–1 | 60.00% |
| 6auce vs Xiaoyu | 11–0 | 100.00% |
| 6auce vs Claudio | 7–4 | 63.64% |
| 6auce vs Anna | 7–4 | 63.64% |
| 6auce vs Alisa | 8–1 | 88.89% |
| 6auce vs Leroy | 7–1 | 87.50% |
| 6auce vs Lidia | 1–7 | 12.50% |
| 6auce vs Asuka | 4–3 | 57.14% |
| 6auce vs Kuma | 5–2 | 71.43% |
| 6auce vs Jack-8 | 4–1 | 80.00% |
| 6auce vs Zafina | 1–4 | 20.00% |
| 6auce vs Leo | 2–2 | 50.00% |
| 6auce vs Azucena | 4–0 | 100.00% |
| 6auce vs Fahkumram | 0–4 | 0.00% |
| 6auce vs Armor King | 1–2 | 33.33% |
| 6auce vs Miary Zo | 2–1 | 66.67% |
| 6auce vs Feng | 0–2 | 0.00% |
| 6auce vs Panda | 0–1 | 0.00% |
| 6auce vs Raven | 1–0 | 100.00% |
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.