| F4rtFlaps-9000 vs Yoshimitsu | 21–3 | 87.50% |
| F4rtFlaps-9000 vs Bryan | 20–2 | 90.91% |
| F4rtFlaps-9000 vs Dragunov | 19–2 | 90.48% |
| F4rtFlaps-9000 vs King | 15–4 | 78.95% |
| F4rtFlaps-9000 vs Reina | 14–4 | 77.78% |
| F4rtFlaps-9000 vs Asuka | 12–5 | 70.59% |
| F4rtFlaps-9000 vs Kazuya | 14–2 | 87.50% |
| F4rtFlaps-9000 vs Paul | 14–1 | 93.33% |
| F4rtFlaps-9000 vs Hwoarang | 11–3 | 78.57% |
| F4rtFlaps-9000 vs Armor King | 9–5 | 64.29% |
| F4rtFlaps-9000 vs Azucena | 9–4 | 69.23% |
| F4rtFlaps-9000 vs Steve | 12–0 | 100.00% |
| F4rtFlaps-9000 vs Lars | 7–3 | 70.00% |
| F4rtFlaps-9000 vs Lili | 9–0 | 100.00% |
| F4rtFlaps-9000 vs Leo | 8–1 | 88.89% |
| F4rtFlaps-9000 vs Jin | 7–1 | 87.50% |
| F4rtFlaps-9000 vs Heihachi | 7–1 | 87.50% |
| F4rtFlaps-9000 vs Victor | 7–0 | 100.00% |
| F4rtFlaps-9000 vs Fahkumram | 5–2 | 71.43% |
| F4rtFlaps-9000 vs Miary Zo | 6–1 | 85.71% |
| F4rtFlaps-9000 vs Nina | 6–0 | 100.00% |
| F4rtFlaps-9000 vs Lee | 5–1 | 83.33% |
| F4rtFlaps-9000 vs Leroy | 6–0 | 100.00% |
| F4rtFlaps-9000 vs Raven | 4–2 | 66.67% |
| F4rtFlaps-9000 vs Law | 5–0 | 100.00% |
| F4rtFlaps-9000 vs Xiaoyu | 5–0 | 100.00% |
| F4rtFlaps-9000 vs Jack-8 | 4–0 | 100.00% |
| F4rtFlaps-9000 vs Alisa | 4–0 | 100.00% |
| F4rtFlaps-9000 vs Devil Jin | 3–0 | 100.00% |
| F4rtFlaps-9000 vs Feng | 2–1 | 66.67% |
| F4rtFlaps-9000 vs Eddy | 2–1 | 66.67% |
| F4rtFlaps-9000 vs Clive | 3–0 | 100.00% |
| F4rtFlaps-9000 vs Anna | 2–1 | 66.67% |
| F4rtFlaps-9000 vs Shaheen | 0–2 | 0.00% |
| F4rtFlaps-9000 vs Panda | 2–0 | 100.00% |
| F4rtFlaps-9000 vs Lidia | 2–0 | 100.00% |
| F4rtFlaps-9000 vs Claudio | 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.