| f2p btw vs Kazuya | 111–88–1 | 55.78% |
| f2p btw vs Jin | 69–93 | 42.59% |
| f2p btw vs King | 70–72 | 49.30% |
| f2p btw vs Reina | 55–62 | 47.01% |
| f2p btw vs Bryan | 48–59 | 44.86% |
| f2p btw vs Hwoarang | 55–45 | 55.00% |
| f2p btw vs Paul | 56–42 | 57.14% |
| f2p btw vs Lili | 48–44 | 52.17% |
| f2p btw vs Dragunov | 40–48 | 45.45% |
| f2p btw vs Asuka | 50–36 | 58.14% |
| f2p btw vs Lee | 41–43 | 48.81% |
| f2p btw vs Steve | 40–41 | 49.38% |
| f2p btw vs Law | 48–24 | 66.67% |
| f2p btw vs Devil Jin | 40–29 | 57.97% |
| f2p btw vs Jun | 34–34 | 50.00% |
| f2p btw vs Yoshimitsu | 27–29 | 48.21% |
| f2p btw vs Feng | 19–25 | 43.18% |
| f2p btw vs Xiaoyu | 25–16 | 60.98% |
| f2p btw vs Jack-8 | 19–22 | 46.34% |
| f2p btw vs Azucena | 26–15 | 63.41% |
| f2p btw vs Nina | 16–23 | 41.03% |
| f2p btw vs Victor | 18–21 | 46.15% |
| f2p btw vs Alisa | 15–22–1 | 40.54% |
| f2p btw vs Raven | 20–18 | 52.63% |
| f2p btw vs Eddy | 17–15 | 53.12% |
| f2p btw vs Shaheen | 14–17 | 45.16% |
| f2p btw vs Lars | 10–20 | 33.33% |
| f2p btw vs Claudio | 8–18 | 30.77% |
| f2p btw vs Lidia | 16–10 | 61.54% |
| f2p btw vs Leo | 7–17 | 29.17% |
| f2p btw vs Kuma | 12–11 | 52.17% |
| f2p btw vs Leroy | 5–18 | 21.74% |
| f2p btw vs Zafina | 4–8 | 33.33% |
| f2p btw vs Panda | 4–4 | 50.00% |
| f2p btw vs Heihachi | 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.