| FANZR vs Jin | 29–62 | 31.87% |
| FANZR vs Steve | 31–30 | 50.82% |
| FANZR vs King | 16–29 | 35.56% |
| FANZR vs Kazuya | 17–26 | 39.53% |
| FANZR vs Hwoarang | 20–17 | 54.05% |
| FANZR vs Armor King | 15–22 | 40.54% |
| FANZR vs Lili | 15–16 | 48.39% |
| FANZR vs Heihachi | 10–18 | 35.71% |
| FANZR vs Law | 13–14 | 48.15% |
| FANZR vs Bryan | 15–12 | 55.56% |
| FANZR vs Dragunov | 8–15 | 34.78% |
| FANZR vs Lars | 9–14 | 39.13% |
| FANZR vs Alisa | 7–11 | 38.89% |
| FANZR vs Azucena | 7–10 | 41.18% |
| FANZR vs Asuka | 3–12 | 20.00% |
| FANZR vs Eddy | 8–7 | 53.33% |
| FANZR vs Nina | 11–3 | 78.57% |
| FANZR vs Victor | 4–9 | 30.77% |
| FANZR vs Clive | 7–5 | 58.33% |
| FANZR vs Miary Zo | 5–7 | 41.67% |
| FANZR vs Lee | 4–7 | 36.36% |
| FANZR vs Devil Jin | 2–7 | 22.22% |
| FANZR vs Jun | 4–5 | 44.44% |
| FANZR vs Lidia | 4–5 | 44.44% |
| FANZR vs Yoshimitsu | 5–3 | 62.50% |
| FANZR vs Leroy | 5–3 | 62.50% |
| FANZR vs Fahkumram | 2–6 | 25.00% |
| FANZR vs Xiaoyu | 5–2 | 71.43% |
| FANZR vs Claudio | 4–2 | 66.67% |
| FANZR vs Shaheen | 0–6 | 0.00% |
| FANZR vs Anna | 2–4 | 33.33% |
| FANZR vs Kuma | 2–3 | 40.00% |
| FANZR vs Reina | 0–4 | 0.00% |
| FANZR vs Leo | 1–2 | 33.33% |
| FANZR vs Paul | 0–2 | 0.00% |
| FANZR vs Feng | 0–2 | 0.00% |
| FANZR vs Zafina | 0–2 | 0.00% |
| FANZR vs Raven | 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.