| FFFRTSY vs Paul | 65–60 | 52.00% |
| FFFRTSY vs Jin | 60–61–1 | 49.59% |
| FFFRTSY vs Hwoarang | 62–58 | 51.67% |
| FFFRTSY vs King | 46–64 | 41.82% |
| FFFRTSY vs Kazuya | 45–63 | 41.67% |
| FFFRTSY vs Steve | 63–36 | 63.64% |
| FFFRTSY vs Dragunov | 49–49 | 50.00% |
| FFFRTSY vs Reina | 49–43 | 53.26% |
| FFFRTSY vs Anna | 53–38 | 58.24% |
| FFFRTSY vs Bryan | 43–35 | 55.13% |
| FFFRTSY vs Victor | 39–28 | 58.21% |
| FFFRTSY vs Heihachi | 35–32 | 52.24% |
| FFFRTSY vs Asuka | 28–36–1 | 43.75% |
| FFFRTSY vs Yoshimitsu | 30–32 | 48.39% |
| FFFRTSY vs Lili | 25–36 | 40.98% |
| FFFRTSY vs Law | 27–28 | 49.09% |
| FFFRTSY vs Jun | 27–28 | 49.09% |
| FFFRTSY vs Jack-8 | 29–22 | 56.86% |
| FFFRTSY vs Feng | 26–20 | 56.52% |
| FFFRTSY vs Xiaoyu | 23–20 | 53.49% |
| FFFRTSY vs Devil Jin | 16–24 | 40.00% |
| FFFRTSY vs Nina | 29–11 | 72.50% |
| FFFRTSY vs Azucena | 21–19 | 52.50% |
| FFFRTSY vs Leo | 16–23 | 41.03% |
| FFFRTSY vs Eddy | 15–23 | 39.47% |
| FFFRTSY vs Alisa | 18–19 | 48.65% |
| FFFRTSY vs Lee | 16–20 | 44.44% |
| FFFRTSY vs Claudio | 10–22 | 31.25% |
| FFFRTSY vs Lars | 14–17 | 45.16% |
| FFFRTSY vs Lidia | 17–13 | 56.67% |
| FFFRTSY vs Clive | 17–13 | 56.67% |
| FFFRTSY vs Kuma | 11–18 | 37.93% |
| FFFRTSY vs Leroy | 10–10 | 50.00% |
| FFFRTSY vs Raven | 10–5 | 66.67% |
| FFFRTSY vs Shaheen | 3–9 | 25.00% |
| FFFRTSY vs Zafina | 7–4 | 63.64% |
| FFFRTSY vs Panda | 4–2 | 66.67% |
| FFFRTSY vs Armor King | 4–2 | 66.67% |
| FFFRTSY vs Miary Zo | 2–4 | 33.33% |
| FFFRTSY vs Fahkumram | 4–0 | 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.