| Learning_stick_ vs Kazuya | 26–13 | 66.67% |
| Learning_stick_ vs King | 22–14 | 61.11% |
| Learning_stick_ vs Dragunov | 23–8 | 74.19% |
| Learning_stick_ vs Jin | 20–5 | 80.00% |
| Learning_stick_ vs Yoshimitsu | 15–9 | 62.50% |
| Learning_stick_ vs Hwoarang | 11–9 | 55.00% |
| Learning_stick_ vs Bryan | 12–8 | 60.00% |
| Learning_stick_ vs Alisa | 10–8 | 55.56% |
| Learning_stick_ vs Anna | 10–8 | 55.56% |
| Learning_stick_ vs Paul | 14–3 | 82.35% |
| Learning_stick_ vs Victor | 10–5 | 66.67% |
| Learning_stick_ vs Law | 12–2 | 85.71% |
| Learning_stick_ vs Lili | 13–1 | 92.86% |
| Learning_stick_ vs Eddy | 7–4 | 63.64% |
| Learning_stick_ vs Lars | 4–5 | 44.44% |
| Learning_stick_ vs Devil Jin | 4–3 | 57.14% |
| Learning_stick_ vs Feng | 5–2 | 71.43% |
| Learning_stick_ vs Steve | 3–3 | 50.00% |
| Learning_stick_ vs Leo | 6–0 | 100.00% |
| Learning_stick_ vs Leroy | 3–3 | 50.00% |
| Learning_stick_ vs Heihachi | 5–1 | 83.33% |
| Learning_stick_ vs Clive | 4–2 | 66.67% |
| Learning_stick_ vs Xiaoyu | 4–1 | 80.00% |
| Learning_stick_ vs Nina | 2–3 | 40.00% |
| Learning_stick_ vs Asuka | 1–3 | 25.00% |
| Learning_stick_ vs Reina | 1–2 | 33.33% |
| Learning_stick_ vs Jack-8 | 0–2 | 0.00% |
| Learning_stick_ vs Claudio | 2–0 | 100.00% |
| Learning_stick_ vs Lee | 1–1 | 50.00% |
| Learning_stick_ vs Kuma | 0–2 | 0.00% |
| Learning_stick_ vs Panda | 0–2 | 0.00% |
| Learning_stick_ vs Jun | 2–0 | 100.00% |
| Learning_stick_ vs Zafina | 0–1 | 0.00% |
| Learning_stick_ vs Azucena | 0–1 | 0.00% |
| Learning_stick_ vs Raven | 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.