| Fnx1 vs Kazuya | 107–75 | 58.79% |
| Fnx1 vs Bryan | 63–72 | 46.67% |
| Fnx1 vs Fahkumram | 73–57 | 56.15% |
| Fnx1 vs Jin | 66–53 | 55.46% |
| Fnx1 vs Heihachi | 64–49 | 56.64% |
| Fnx1 vs Steve | 59–50 | 54.13% |
| Fnx1 vs Hwoarang | 51–48 | 51.52% |
| Fnx1 vs Reina | 51–44 | 53.68% |
| Fnx1 vs Law | 54–38 | 58.70% |
| Fnx1 vs Lee | 44–44 | 50.00% |
| Fnx1 vs Anna | 53–33 | 61.63% |
| Fnx1 vs Devil Jin | 45–37 | 54.88% |
| Fnx1 vs Paul | 28–53 | 34.57% |
| Fnx1 vs Dragunov | 42–28 | 60.00% |
| Fnx1 vs Lars | 26–38 | 40.62% |
| Fnx1 vs King | 39–23 | 62.90% |
| Fnx1 vs Feng | 38–23 | 62.30% |
| Fnx1 vs Lili | 27–29 | 48.21% |
| Fnx1 vs Azucena | 30–19 | 61.22% |
| Fnx1 vs Claudio | 25–17 | 59.52% |
| Fnx1 vs Lidia | 19–18 | 51.35% |
| Fnx1 vs Yoshimitsu | 12–20 | 37.50% |
| Fnx1 vs Jun | 12–19 | 38.71% |
| Fnx1 vs Alisa | 10–20 | 33.33% |
| Fnx1 vs Victor | 15–15 | 50.00% |
| Fnx1 vs Asuka | 14–15 | 48.28% |
| Fnx1 vs Nina | 12–16 | 42.86% |
| Fnx1 vs Leroy | 16–12 | 57.14% |
| Fnx1 vs Jack-8 | 7–19 | 26.92% |
| Fnx1 vs Raven | 8–17 | 32.00% |
| Fnx1 vs Leo | 10–12 | 45.45% |
| Fnx1 vs Zafina | 6–9 | 40.00% |
| Fnx1 vs Xiaoyu | 3–11 | 21.43% |
| Fnx1 vs Shaheen | 9–5 | 64.29% |
| Fnx1 vs Eddy | 7–7 | 50.00% |
| Fnx1 vs Clive | 4–7 | 36.36% |
| Fnx1 vs Kuma | 4–5 | 44.44% |
| Fnx1 vs Panda | 1–1 | 50.00% |
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.