| ewes vs King | 34–16 | 68.00% |
| ewes vs Dragunov | 29–15 | 65.91% |
| ewes vs Kazuya | 27–8 | 77.14% |
| ewes vs Paul | 23–8 | 74.19% |
| ewes vs Jin | 25–6 | 80.65% |
| ewes vs Heihachi | 18–13 | 58.06% |
| ewes vs Jun | 16–8 | 66.67% |
| ewes vs Bryan | 20–1 | 95.24% |
| ewes vs Yoshimitsu | 12–6 | 66.67% |
| ewes vs Steve | 13–5 | 72.22% |
| ewes vs Lee | 16–2 | 88.89% |
| ewes vs Reina | 12–6 | 66.67% |
| ewes vs Alisa | 9–8 | 52.94% |
| ewes vs Hwoarang | 10–6 | 62.50% |
| ewes vs Asuka | 13–3 | 81.25% |
| ewes vs Shaheen | 6–10 | 37.50% |
| ewes vs Leo | 11–3 | 78.57% |
| ewes vs Victor | 11–3 | 78.57% |
| ewes vs Law | 9–4 | 69.23% |
| ewes vs Clive | 9–3 | 75.00% |
| ewes vs Xiaoyu | 6–5 | 54.55% |
| ewes vs Feng | 8–2 | 80.00% |
| ewes vs Lili | 8–2 | 80.00% |
| ewes vs Lars | 10–0 | 100.00% |
| ewes vs Jack-8 | 6–3 | 66.67% |
| ewes vs Nina | 6–3 | 66.67% |
| ewes vs Eddy | 6–3 | 66.67% |
| ewes vs Fahkumram | 8–1 | 88.89% |
| ewes vs Claudio | 7–1 | 87.50% |
| ewes vs Leroy | 6–2 | 75.00% |
| ewes vs Lidia | 5–3 | 62.50% |
| ewes vs Azucena | 6–1 | 85.71% |
| ewes vs Devil Jin | 4–2 | 66.67% |
| ewes vs Kuma | 6–0 | 100.00% |
| ewes vs Zafina | 3–3 | 50.00% |
| ewes vs Armor King | 2–2 | 50.00% |
| ewes vs Anna | 2–1 | 66.67% |
| ewes vs Miary Zo | 2–0 | 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.