| @ssEater vs Steve | 55–46 | 54.46% |
| @ssEater vs Kazuya | 54–31 | 63.53% |
| @ssEater vs Bryan | 42–42 | 50.00% |
| @ssEater vs Jin | 44–33 | 57.14% |
| @ssEater vs King | 30–45 | 40.00% |
| @ssEater vs Hwoarang | 30–36 | 45.45% |
| @ssEater vs Reina | 39–20 | 66.10% |
| @ssEater vs Heihachi | 25–33 | 43.10% |
| @ssEater vs Paul | 23–28 | 45.10% |
| @ssEater vs Law | 26–18 | 59.09% |
| @ssEater vs Armor King | 19–24 | 44.19% |
| @ssEater vs Devil Jin | 16–17 | 48.48% |
| @ssEater vs Lili | 17–16 | 51.52% |
| @ssEater vs Dragunov | 14–13 | 51.85% |
| @ssEater vs Lee | 17–10 | 62.96% |
| @ssEater vs Victor | 16–6 | 72.73% |
| @ssEater vs Asuka | 14–7 | 66.67% |
| @ssEater vs Yoshimitsu | 9–11 | 45.00% |
| @ssEater vs Alisa | 13–6 | 68.42% |
| @ssEater vs Claudio | 10–9 | 52.63% |
| @ssEater vs Lars | 6–12 | 33.33% |
| @ssEater vs Jun | 10–8 | 55.56% |
| @ssEater vs Clive | 9–9 | 50.00% |
| @ssEater vs Azucena | 10–6 | 62.50% |
| @ssEater vs Jack-8 | 7–8 | 46.67% |
| @ssEater vs Nina | 6–8 | 42.86% |
| @ssEater vs Anna | 6–8 | 42.86% |
| @ssEater vs Zafina | 6–7 | 46.15% |
| @ssEater vs Feng | 5–7 | 41.67% |
| @ssEater vs Miary Zo | 5–6 | 45.45% |
| @ssEater vs Xiaoyu | 4–4 | 50.00% |
| @ssEater vs Eddy | 5–3 | 62.50% |
| @ssEater vs Lidia | 6–1 | 85.71% |
| @ssEater vs Raven | 3–3 | 50.00% |
| @ssEater vs Leroy | 1–4 | 20.00% |
| @ssEater vs Fahkumram | 1–4 | 20.00% |
| @ssEater vs Leo | 1–3 | 25.00% |
| @ssEater vs Shaheen | 2–1 | 66.67% |
| @ssEater vs Panda | 0–2 | 0.00% |
| @ssEater 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.