| unrealfizicola vs Jin | 20–10 | 66.67% |
| unrealfizicola vs Dragunov | 19–9 | 67.86% |
| unrealfizicola vs Clive | 17–9 | 65.38% |
| unrealfizicola vs Reina | 9–11 | 45.00% |
| unrealfizicola vs Yoshimitsu | 9–7 | 56.25% |
| unrealfizicola vs Steve | 10–5 | 66.67% |
| unrealfizicola vs King | 9–5 | 64.29% |
| unrealfizicola vs Bryan | 10–4 | 71.43% |
| unrealfizicola vs Law | 4–9 | 30.77% |
| unrealfizicola vs Nina | 9–2 | 81.82% |
| unrealfizicola vs Eddy | 7–4 | 63.64% |
| unrealfizicola vs Heihachi | 4–6 | 40.00% |
| unrealfizicola vs Xiaoyu | 5–4 | 55.56% |
| unrealfizicola vs Kazuya | 9–0 | 100.00% |
| unrealfizicola vs Jun | 5–4 | 55.56% |
| unrealfizicola vs Lidia | 7–2 | 77.78% |
| unrealfizicola vs Hwoarang | 5–2 | 71.43% |
| unrealfizicola vs Kuma | 4–3 | 57.14% |
| unrealfizicola vs Armor King | 4–3 | 57.14% |
| unrealfizicola vs Lili | 5–1 | 83.33% |
| unrealfizicola vs Anna | 1–5 | 16.67% |
| unrealfizicola vs Miary Zo | 4–2 | 66.67% |
| unrealfizicola vs Asuka | 4–1 | 80.00% |
| unrealfizicola vs Leo | 2–3 | 40.00% |
| unrealfizicola vs Claudio | 3–2 | 60.00% |
| unrealfizicola vs Lee | 5–0 | 100.00% |
| unrealfizicola vs Azucena | 4–1 | 80.00% |
| unrealfizicola vs Fahkumram | 4–1 | 80.00% |
| unrealfizicola vs Paul | 1–3 | 25.00% |
| unrealfizicola vs Feng | 3–1 | 75.00% |
| unrealfizicola vs Devil Jin | 3–0 | 100.00% |
| unrealfizicola vs Lars | 1–2 | 33.33% |
| unrealfizicola vs Alisa | 3–0 | 100.00% |
| unrealfizicola vs Zafina | 2–1 | 66.67% |
| unrealfizicola vs Raven | 3–0 | 100.00% |
| unrealfizicola vs Jack-8 | 0–2 | 0.00% |
| unrealfizicola vs Victor | 2–0 | 100.00% |
| unrealfizicola vs Leroy | 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.