| FaLLeN vs Jin | 48–44 | 52.17% |
| FaLLeN vs Kazuya | 48–36 | 57.14% |
| FaLLeN vs Bryan | 45–25 | 64.29% |
| FaLLeN vs Steve | 41–21 | 66.13% |
| FaLLeN vs Reina | 35–25 | 58.33% |
| FaLLeN vs Hwoarang | 41–18 | 69.49% |
| FaLLeN vs Devil Jin | 37–22 | 62.71% |
| FaLLeN vs Leroy | 37–22 | 62.71% |
| FaLLeN vs Paul | 34–21 | 61.82% |
| FaLLeN vs Yoshimitsu | 29–25 | 53.70% |
| FaLLeN vs Lee | 35–19 | 64.81% |
| FaLLeN vs Lili | 31–19 | 62.00% |
| FaLLeN vs Law | 27–19 | 58.70% |
| FaLLeN vs King | 25–20 | 55.56% |
| FaLLeN vs Dragunov | 24–21 | 53.33% |
| FaLLeN vs Alisa | 25–19 | 56.82% |
| FaLLeN vs Jack-8 | 24–18 | 57.14% |
| FaLLeN vs Lars | 22–20 | 52.38% |
| FaLLeN vs Feng | 20–20 | 50.00% |
| FaLLeN vs Nina | 19–16 | 54.29% |
| FaLLeN vs Lidia | 22–11 | 66.67% |
| FaLLeN vs Zafina | 18–14 | 56.25% |
| FaLLeN vs Victor | 20–12 | 62.50% |
| FaLLeN vs Azucena | 16–15 | 51.61% |
| FaLLeN vs Raven | 14–14 | 50.00% |
| FaLLeN vs Claudio | 14–13 | 51.85% |
| FaLLeN vs Kuma | 15–12 | 55.56% |
| FaLLeN vs Jun | 17–8 | 68.00% |
| FaLLeN vs Asuka | 18–6 | 75.00% |
| FaLLeN vs Leo | 10–11 | 47.62% |
| FaLLeN vs Xiaoyu | 15–5 | 75.00% |
| FaLLeN vs Eddy | 10–9 | 52.63% |
| FaLLeN vs Shaheen | 8–10 | 44.44% |
| FaLLeN vs Heihachi | 5–5 | 50.00% |
| FaLLeN vs Panda | 4–1 | 80.00% |
| FaLLeN vs Clive | 3–0 | 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.