| F00L vs Bryan | 39–27 | 59.09% |
| F00L vs King | 38–27 | 58.46% |
| F00L vs Kazuya | 36–27 | 57.14% |
| F00L vs Reina | 28–22 | 56.00% |
| F00L vs Jin | 19–22 | 46.34% |
| F00L vs Hwoarang | 19–21 | 47.50% |
| F00L vs Armor King | 22–18 | 55.00% |
| F00L vs Azucena | 20–19 | 51.28% |
| F00L vs Eddy | 21–13 | 61.76% |
| F00L vs Lars | 18–15 | 54.55% |
| F00L vs Yoshimitsu | 14–15 | 48.28% |
| F00L vs Law | 14–14 | 50.00% |
| F00L vs Lili | 9–19 | 32.14% |
| F00L vs Steve | 14–13 | 51.85% |
| F00L vs Dragunov | 18–9 | 66.67% |
| F00L vs Jun | 16–9 | 64.00% |
| F00L vs Asuka | 12–11 | 52.17% |
| F00L vs Lee | 13–10 | 56.52% |
| F00L vs Jack-8 | 10–9 | 52.63% |
| F00L vs Nina | 10–9 | 52.63% |
| F00L vs Anna | 11–8 | 57.89% |
| F00L vs Paul | 10–8 | 55.56% |
| F00L vs Leroy | 7–11 | 38.89% |
| F00L vs Victor | 8–10 | 44.44% |
| F00L vs Alisa | 9–7 | 56.25% |
| F00L vs Devil Jin | 10–5 | 66.67% |
| F00L vs Heihachi | 9–6 | 60.00% |
| F00L vs Feng | 4–10 | 28.57% |
| F00L vs Fahkumram | 9–4 | 69.23% |
| F00L vs Leo | 5–7 | 41.67% |
| F00L vs Clive | 6–6 | 50.00% |
| F00L vs Claudio | 6–2 | 75.00% |
| F00L vs Shaheen | 6–2 | 75.00% |
| F00L vs Kuma | 8–0 | 100.00% |
| F00L vs Xiaoyu | 5–2 | 71.43% |
| F00L vs Zafina | 3–4 | 42.86% |
| F00L vs Raven | 2–4 | 33.33% |
| F00L vs Miary Zo | 4–1 | 80.00% |
| F00L vs Panda | 4–0 | 100.00% |
| F00L vs Lidia | 3–1 | 75.00% |
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.