| AFallingLeaf vs Miary Zo | 32–30 | 51.61% |
| AFallingLeaf vs Bryan | 10–15 | 40.00% |
| AFallingLeaf vs King | 16–7 | 69.57% |
| AFallingLeaf vs Reina | 12–11 | 52.17% |
| AFallingLeaf vs Azucena | 14–7 | 66.67% |
| AFallingLeaf vs Kazuya | 10–10 | 50.00% |
| AFallingLeaf vs Jin | 8–11 | 42.11% |
| AFallingLeaf vs Dragunov | 9–7 | 56.25% |
| AFallingLeaf vs Steve | 7–8 | 46.67% |
| AFallingLeaf vs Yoshimitsu | 7–6 | 53.85% |
| AFallingLeaf vs Lidia | 5–8 | 38.46% |
| AFallingLeaf vs Armor King | 8–4 | 66.67% |
| AFallingLeaf vs Law | 7–3 | 70.00% |
| AFallingLeaf vs Asuka | 3–7 | 30.00% |
| AFallingLeaf vs Lili | 7–3 | 70.00% |
| AFallingLeaf vs Leo | 6–4 | 60.00% |
| AFallingLeaf vs Claudio | 6–3 | 66.67% |
| AFallingLeaf vs Lee | 2–7 | 22.22% |
| AFallingLeaf vs Heihachi | 5–4 | 55.56% |
| AFallingLeaf vs Clive | 3–6 | 33.33% |
| AFallingLeaf vs Jun | 7–1 | 87.50% |
| AFallingLeaf vs Hwoarang | 3–4 | 42.86% |
| AFallingLeaf vs Eddy | 1–6 | 14.29% |
| AFallingLeaf vs Xiaoyu | 5–1 | 83.33% |
| AFallingLeaf vs Alisa | 2–4 | 33.33% |
| AFallingLeaf vs Kuma | 6–0 | 100.00% |
| AFallingLeaf vs Jack-8 | 2–3 | 40.00% |
| AFallingLeaf vs Fahkumram | 5–0 | 100.00% |
| AFallingLeaf vs Feng | 2–2 | 50.00% |
| AFallingLeaf vs Shaheen | 2–2 | 50.00% |
| AFallingLeaf vs Nina | 0–4 | 0.00% |
| AFallingLeaf vs Zafina | 4–0 | 100.00% |
| AFallingLeaf vs Paul | 2–1 | 66.67% |
| AFallingLeaf vs Victor | 2–1 | 66.67% |
| AFallingLeaf vs Panda | 2–0 | 100.00% |
| AFallingLeaf vs Devil Jin | 1–0 | 100.00% |
| AFallingLeaf vs Lars | 0–1 | 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.