| Appred1Pick3 vs Reina | 8–10 | 44.44% |
| Appred1Pick3 vs King | 9–6 | 60.00% |
| Appred1Pick3 vs Hwoarang | 8–6 | 57.14% |
| Appred1Pick3 vs Jin | 7–6 | 53.85% |
| Appred1Pick3 vs Asuka | 7–4 | 63.64% |
| Appred1Pick3 vs Azucena | 5–6 | 45.45% |
| Appred1Pick3 vs Xiaoyu | 6–4 | 60.00% |
| Appred1Pick3 vs Steve | 5–5 | 50.00% |
| Appred1Pick3 vs Dragunov | 8–1 | 88.89% |
| Appred1Pick3 vs Victor | 7–2 | 77.78% |
| Appred1Pick3 vs Nina | 4–3 | 57.14% |
| Appred1Pick3 vs Lidia | 1–4 | 20.00% |
| Appred1Pick3 vs Bryan | 3–1 | 75.00% |
| Appred1Pick3 vs Kazuya | 1–3 | 25.00% |
| Appred1Pick3 vs Shaheen | 2–2 | 50.00% |
| Appred1Pick3 vs Kuma | 3–1 | 75.00% |
| Appred1Pick3 vs Eddy | 2–2 | 50.00% |
| Appred1Pick3 vs Yoshimitsu | 1–2 | 33.33% |
| Appred1Pick3 vs Lili | 0–3 | 0.00% |
| Appred1Pick3 vs Lars | 2–1 | 66.67% |
| Appred1Pick3 vs Clive | 0–3 | 0.00% |
| Appred1Pick3 vs Paul | 0–2 | 0.00% |
| Appred1Pick3 vs Law | 2–0 | 100.00% |
| Appred1Pick3 vs Jack-8 | 0–2 | 0.00% |
| Appred1Pick3 vs Feng | 2–0 | 100.00% |
| Appred1Pick3 vs Lee | 0–2 | 0.00% |
| Appred1Pick3 vs Leroy | 2–0 | 100.00% |
| Appred1Pick3 vs Jun | 2–0 | 100.00% |
| Appred1Pick3 vs Armor King | 0–2 | 0.00% |
| Appred1Pick3 vs Miary Zo | 2–0 | 100.00% |
| Appred1Pick3 vs Devil Jin | 1–0 | 100.00% |
| Appred1Pick3 vs Leo | 0–1 | 0.00% |
| Appred1Pick3 vs Heihachi | 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.