| BigSchaose vs Law | 8–8 | 50.00% |
| BigSchaose vs Kazuya | 11–3 | 78.57% |
| BigSchaose vs Steve | 10–4 | 71.43% |
| BigSchaose vs Eddy | 7–7 | 50.00% |
| BigSchaose vs Jin | 7–4 | 63.64% |
| BigSchaose vs Reina | 8–3 | 72.73% |
| BigSchaose vs Hwoarang | 9–1 | 90.00% |
| BigSchaose vs Leroy | 7–2 | 77.78% |
| BigSchaose vs Victor | 3–5 | 37.50% |
| BigSchaose vs Lili | 4–3 | 57.14% |
| BigSchaose vs Lars | 6–0 | 100.00% |
| BigSchaose vs Kuma | 4–2 | 66.67% |
| BigSchaose vs King | 3–2 | 60.00% |
| BigSchaose vs Asuka | 4–1 | 80.00% |
| BigSchaose vs Leo | 3–2 | 60.00% |
| BigSchaose vs Nina | 4–1 | 80.00% |
| BigSchaose vs Yoshimitsu | 2–2 | 50.00% |
| BigSchaose vs Bryan | 4–0 | 100.00% |
| BigSchaose vs Jack-8 | 0–4 | 0.00% |
| BigSchaose vs Shaheen | 2–2 | 50.00% |
| BigSchaose vs Jun | 2–2 | 50.00% |
| BigSchaose vs Azucena | 4–0 | 100.00% |
| BigSchaose vs Raven | 0–4 | 0.00% |
| BigSchaose vs Heihachi | 2–2 | 50.00% |
| BigSchaose vs Devil Jin | 1–2 | 33.33% |
| BigSchaose vs Claudio | 1–2 | 33.33% |
| BigSchaose vs Lee | 2–1 | 66.67% |
| BigSchaose vs Lidia | 3–0 | 100.00% |
| BigSchaose vs Clive | 1–2 | 33.33% |
| BigSchaose vs Paul | 2–0 | 100.00% |
| BigSchaose vs Xiaoyu | 2–0 | 100.00% |
| BigSchaose vs Feng | 2–0 | 100.00% |
| BigSchaose vs Dragunov | 0–2 | 0.00% |
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.