| BigMoe vs Jin | 21–8 | 72.41% |
| BigMoe vs King | 17–7 | 70.83% |
| BigMoe vs Steve | 20–4 | 83.33% |
| BigMoe vs Kazuya | 13–10 | 56.52% |
| BigMoe vs Law | 16–6 | 72.73% |
| BigMoe vs Reina | 16–6 | 72.73% |
| BigMoe vs Dragunov | 10–7 | 58.82% |
| BigMoe vs Jun | 6–10 | 37.50% |
| BigMoe vs Alisa | 10–5 | 66.67% |
| BigMoe vs Azucena | 8–7 | 53.33% |
| BigMoe vs Victor | 9–5 | 64.29% |
| BigMoe vs Hwoarang | 9–2 | 81.82% |
| BigMoe vs Xiaoyu | 8–3 | 72.73% |
| BigMoe vs Asuka | 8–3 | 72.73% |
| BigMoe vs Devil Jin | 7–4 | 63.64% |
| BigMoe vs Nina | 5–6 | 45.45% |
| BigMoe vs Leroy | 5–6 | 45.45% |
| BigMoe vs Bryan | 7–3 | 70.00% |
| BigMoe vs Feng | 6–4 | 60.00% |
| BigMoe vs Lili | 7–3 | 70.00% |
| BigMoe vs Yoshimitsu | 1–8 | 11.11% |
| BigMoe vs Claudio | 7–2 | 77.78% |
| BigMoe vs Eddy | 5–4 | 55.56% |
| BigMoe vs Heihachi | 7–2 | 77.78% |
| BigMoe vs Lidia | 6–2 | 75.00% |
| BigMoe vs Jack-8 | 4–3 | 57.14% |
| BigMoe vs Leo | 4–3 | 57.14% |
| BigMoe vs Lee | 5–2 | 71.43% |
| BigMoe vs Shaheen | 4–2 | 66.67% |
| BigMoe vs Zafina | 6–0 | 100.00% |
| BigMoe vs Clive | 3–3 | 50.00% |
| BigMoe vs Fahkumram | 4–2 | 66.67% |
| BigMoe vs Lars | 5–0 | 100.00% |
| BigMoe vs Kuma | 3–2 | 60.00% |
| BigMoe vs Raven | 4–1 | 80.00% |
| BigMoe vs Panda | 3–0 | 100.00% |
| BigMoe vs Paul | 2–0 | 100.00% |
| BigMoe vs Anna | 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.