| FATLAD231 vs King | 19–28 | 40.43% |
| FATLAD231 vs Reina | 31–13 | 70.45% |
| FATLAD231 vs Steve | 25–13 | 65.79% |
| FATLAD231 vs Hwoarang | 18–19 | 48.65% |
| FATLAD231 vs Armor King | 15–18 | 45.45% |
| FATLAD231 vs Kazuya | 18–14 | 56.25% |
| FATLAD231 vs Bryan | 10–14 | 41.67% |
| FATLAD231 vs Jin | 12–11 | 52.17% |
| FATLAD231 vs Lili | 7–12 | 36.84% |
| FATLAD231 vs Xiaoyu | 7–11 | 38.89% |
| FATLAD231 vs Lee | 10–8 | 55.56% |
| FATLAD231 vs Yoshimitsu | 7–10 | 41.18% |
| FATLAD231 vs Kuma | 5–12 | 29.41% |
| FATLAD231 vs Victor | 8–9 | 47.06% |
| FATLAD231 vs Heihachi | 8–8 | 50.00% |
| FATLAD231 vs Paul | 6–9 | 40.00% |
| FATLAD231 vs Dragunov | 6–9 | 40.00% |
| FATLAD231 vs Jun | 6–9 | 40.00% |
| FATLAD231 vs Lidia | 9–6 | 60.00% |
| FATLAD231 vs Asuka | 6–5 | 54.55% |
| FATLAD231 vs Alisa | 3–8 | 27.27% |
| FATLAD231 vs Clive | 7–4 | 63.64% |
| FATLAD231 vs Law | 7–3 | 70.00% |
| FATLAD231 vs Azucena | 2–8 | 20.00% |
| FATLAD231 vs Leo | 6–3 | 66.67% |
| FATLAD231 vs Lars | 2–7 | 22.22% |
| FATLAD231 vs Anna | 6–3 | 66.67% |
| FATLAD231 vs Fahkumram | 3–6 | 33.33% |
| FATLAD231 vs Claudio | 6–1 | 85.71% |
| FATLAD231 vs Jack-8 | 1–5 | 16.67% |
| FATLAD231 vs Panda | 5–1 | 83.33% |
| FATLAD231 vs Eddy | 3–3 | 50.00% |
| FATLAD231 vs Raven | 3–2 | 60.00% |
| FATLAD231 vs Devil Jin | 2–2 | 50.00% |
| FATLAD231 vs Shaheen | 2–2 | 50.00% |
| FATLAD231 vs Nina | 1–3 | 25.00% |
| FATLAD231 vs Leroy | 1–2 | 33.33% |
| FATLAD231 vs Feng | 1–1 | 50.00% |
| FATLAD231 vs Zafina | 0–2 | 0.00% |
| FATLAD231 vs Miary Zo | 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.