| foodtre vs Kazuya | 66–79 | 45.52% |
| foodtre vs King | 61–71 | 46.21% |
| foodtre vs Heihachi | 56–59 | 48.70% |
| foodtre vs Clive | 50–48 | 51.02% |
| foodtre vs Jin | 43–52 | 45.26% |
| foodtre vs Steve | 55–40 | 57.89% |
| foodtre vs Bryan | 45–49 | 47.87% |
| foodtre vs Reina | 41–45 | 47.67% |
| foodtre vs Law | 38–46 | 45.24% |
| foodtre vs Hwoarang | 31–51 | 37.80% |
| foodtre vs Eddy | 48–23 | 67.61% |
| foodtre vs Jun | 34–34 | 50.00% |
| foodtre vs Dragunov | 34–33 | 50.75% |
| foodtre vs Victor | 39–25 | 60.94% |
| foodtre vs Lars | 27–31 | 46.55% |
| foodtre vs Xiaoyu | 18–38 | 32.14% |
| foodtre vs Azucena | 30–25 | 54.55% |
| foodtre vs Leo | 25–29 | 46.30% |
| foodtre vs Lidia | 19–31 | 38.00% |
| foodtre vs Yoshimitsu | 29–20 | 59.18% |
| foodtre vs Asuka | 18–30 | 37.50% |
| foodtre vs Lili | 18–24 | 42.86% |
| foodtre vs Nina | 21–21 | 50.00% |
| foodtre vs Lee | 21–19 | 52.50% |
| foodtre vs Feng | 22–16 | 57.89% |
| foodtre vs Alisa | 13–21 | 38.24% |
| foodtre vs Kuma | 19–13 | 59.38% |
| foodtre vs Leroy | 12–19 | 38.71% |
| foodtre vs Paul | 13–16 | 44.83% |
| foodtre vs Devil Jin | 10–15 | 40.00% |
| foodtre vs Jack-8 | 9–11 | 45.00% |
| foodtre vs Claudio | 8–10 | 44.44% |
| foodtre vs Raven | 2–12 | 14.29% |
| foodtre vs Shaheen | 5–4 | 55.56% |
| foodtre vs Panda | 2–3 | 40.00% |
| foodtre vs Zafina | 2–3 | 40.00% |
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.