| #E4007F vs Fahkumram | 38–19 | 66.67% |
| #E4007F vs Miary Zo | 35–21 | 62.50% |
| #E4007F vs Kazuya | 35–17 | 67.31% |
| #E4007F vs Paul | 33–13 | 71.74% |
| #E4007F vs King | 27–15 | 64.29% |
| #E4007F vs Lili | 24–17 | 58.54% |
| #E4007F vs Jin | 29–8 | 78.38% |
| #E4007F vs Armor King | 21–14 | 60.00% |
| #E4007F vs Nina | 26–8 | 76.47% |
| #E4007F vs Heihachi | 18–16 | 52.94% |
| #E4007F vs Steve | 19–12 | 61.29% |
| #E4007F vs Dragunov | 23–8 | 74.19% |
| #E4007F vs Hwoarang | 26–3 | 89.66% |
| #E4007F vs Bryan | 17–12 | 58.62% |
| #E4007F vs Asuka | 21–8 | 72.41% |
| #E4007F vs Reina | 23–6 | 79.31% |
| #E4007F vs Lars | 17–9 | 65.38% |
| #E4007F vs Law | 14–5 | 73.68% |
| #E4007F vs Yoshimitsu | 14–4 | 77.78% |
| #E4007F vs Raven | 9–9 | 50.00% |
| #E4007F vs Clive | 9–9 | 50.00% |
| #E4007F vs Jack-8 | 11–6 | 64.71% |
| #E4007F vs Devil Jin | 14–3 | 82.35% |
| #E4007F vs Victor | 10–6 | 62.50% |
| #E4007F vs Feng | 10–4 | 71.43% |
| #E4007F vs Claudio | 9–5 | 64.29% |
| #E4007F vs Jun | 6–8 | 42.86% |
| #E4007F vs Lidia | 9–5 | 64.29% |
| #E4007F vs Alisa | 9–4 | 69.23% |
| #E4007F vs Azucena | 12–1 | 92.31% |
| #E4007F vs Xiaoyu | 9–3 | 75.00% |
| #E4007F vs Zafina | 8–4 | 66.67% |
| #E4007F vs Leo | 7–4 | 63.64% |
| #E4007F vs Anna | 8–3 | 72.73% |
| #E4007F vs Shaheen | 6–4 | 60.00% |
| #E4007F vs Leroy | 8–1 | 88.89% |
| #E4007F vs Eddy | 5–4 | 55.56% |
| #E4007F vs Lee | 5–2 | 71.43% |
| #E4007F vs Panda | 1–4 | 20.00% |
| #E4007F vs Kuma | 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.