| LearninLeverles vs Eddy | 20–14 | 58.82% |
| LearninLeverles vs Reina | 10–14 | 41.67% |
| LearninLeverles vs Lili | 12–8 | 60.00% |
| LearninLeverles vs King | 5–11 | 31.25% |
| LearninLeverles vs Jin | 4–12 | 25.00% |
| LearninLeverles vs Dragunov | 9–4 | 69.23% |
| LearninLeverles vs Hwoarang | 6–6 | 50.00% |
| LearninLeverles vs Kazuya | 9–2 | 81.82% |
| LearninLeverles vs Lars | 7–3 | 70.00% |
| LearninLeverles vs Steve | 5–4 | 55.56% |
| LearninLeverles vs Jun | 7–1 | 87.50% |
| LearninLeverles vs Xiaoyu | 2–5 | 28.57% |
| LearninLeverles vs Feng | 4–3 | 57.14% |
| LearninLeverles vs Nina | 5–2 | 71.43% |
| LearninLeverles vs Law | 4–2 | 66.67% |
| LearninLeverles vs Azucena | 2–4 | 33.33% |
| LearninLeverles vs Victor | 1–4 | 20.00% |
| LearninLeverles vs Bryan | 1–3 | 25.00% |
| LearninLeverles vs Asuka | 0–4 | 0.00% |
| LearninLeverles vs Devil Jin | 1–3 | 25.00% |
| LearninLeverles vs Lee | 2–2 | 50.00% |
| LearninLeverles vs Paul | 1–2 | 33.33% |
| LearninLeverles vs Jack-8 | 1–2 | 33.33% |
| LearninLeverles vs Kuma | 0–3 | 0.00% |
| LearninLeverles vs Zafina | 3–0 | 100.00% |
| LearninLeverles vs Yoshimitsu | 2–0 | 100.00% |
| LearninLeverles vs Alisa | 1–1 | 50.00% |
| LearninLeverles vs Leroy | 2–0 | 100.00% |
| LearninLeverles vs Panda | 1–0 | 100.00% |
| LearninLeverles 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.