| Fansi vs Heihachi | 25–14 | 64.10% |
| Fansi vs King | 13–21 | 38.24% |
| Fansi vs Steve | 15–8 | 65.22% |
| Fansi vs Bryan | 15–7 | 68.18% |
| Fansi vs Victor | 17–5 | 77.27% |
| Fansi vs Azucena | 19–2 | 90.48% |
| Fansi vs Kazuya | 14–6 | 70.00% |
| Fansi vs Jun | 15–5 | 75.00% |
| Fansi vs Jin | 7–12 | 36.84% |
| Fansi vs Lili | 9–10 | 47.37% |
| Fansi vs Law | 11–7 | 61.11% |
| Fansi vs Hwoarang | 13–5 | 72.22% |
| Fansi vs Reina | 11–6 | 64.71% |
| Fansi vs Asuka | 12–3 | 80.00% |
| Fansi vs Yoshimitsu | 11–3 | 78.57% |
| Fansi vs Lidia | 9–5 | 64.29% |
| Fansi vs Dragunov | 8–5 | 61.54% |
| Fansi vs Clive | 11–2 | 84.62% |
| Fansi vs Leo | 9–2 | 81.82% |
| Fansi vs Kuma | 9–2 | 81.82% |
| Fansi vs Armor King | 7–4 | 63.64% |
| Fansi vs Lars | 5–4 | 55.56% |
| Fansi vs Claudio | 4–4 | 50.00% |
| Fansi vs Raven | 7–1 | 87.50% |
| Fansi vs Alisa | 6–1 | 85.71% |
| Fansi vs Leroy | 6–1 | 85.71% |
| Fansi vs Fahkumram | 4–3 | 57.14% |
| Fansi vs Paul | 4–2 | 66.67% |
| Fansi vs Lee | 4–2 | 66.67% |
| Fansi vs Jack-8 | 3–2 | 60.00% |
| Fansi vs Nina | 5–0 | 100.00% |
| Fansi vs Miary Zo | 3–1 | 75.00% |
| Fansi vs Devil Jin | 3–0 | 100.00% |
| Fansi vs Shaheen | 1–2 | 33.33% |
| Fansi vs Xiaoyu | 0–2 | 0.00% |
| Fansi vs Feng | 1–1 | 50.00% |
| Fansi vs Panda | 0–2 | 0.00% |
| Fansi vs Eddy | 1–0 | 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.