| F00TCLAN vs Kazuya | 82–57 | 58.99% |
| F00TCLAN vs Jin | 58–67 | 46.40% |
| F00TCLAN vs King | 80–44 | 64.52% |
| F00TCLAN vs Reina | 46–50 | 47.92% |
| F00TCLAN vs Heihachi | 52–31 | 62.65% |
| F00TCLAN vs Hwoarang | 48–32 | 60.00% |
| F00TCLAN vs Bryan | 41–36 | 53.25% |
| F00TCLAN vs Yoshimitsu | 39–34 | 53.42% |
| F00TCLAN vs Steve | 35–29 | 54.69% |
| F00TCLAN vs Dragunov | 30–33 | 47.62% |
| F00TCLAN vs Lili | 29–33 | 46.77% |
| F00TCLAN vs Law | 36–25 | 59.02% |
| F00TCLAN vs Eddy | 28–20 | 58.33% |
| F00TCLAN vs Nina | 22–23 | 48.89% |
| F00TCLAN vs Jun | 23–21–1 | 52.27% |
| F00TCLAN vs Paul | 27–17 | 61.36% |
| F00TCLAN vs Xiaoyu | 22–22 | 50.00% |
| F00TCLAN vs Devil Jin | 18–25 | 41.86% |
| F00TCLAN vs Feng | 26–17 | 60.47% |
| F00TCLAN vs Lidia | 30–13 | 69.77% |
| F00TCLAN vs Asuka | 21–19 | 52.50% |
| F00TCLAN vs Fahkumram | 18–17 | 51.43% |
| F00TCLAN vs Lee | 16–18 | 47.06% |
| F00TCLAN vs Alisa | 14–16 | 46.67% |
| F00TCLAN vs Anna | 13–17 | 43.33% |
| F00TCLAN vs Leroy | 17–12 | 58.62% |
| F00TCLAN vs Victor | 13–14 | 48.15% |
| F00TCLAN vs Azucena | 5–21 | 19.23% |
| F00TCLAN vs Clive | 7–17 | 29.17% |
| F00TCLAN vs Jack-8 | 9–11 | 45.00% |
| F00TCLAN vs Armor King | 9–10 | 47.37% |
| F00TCLAN vs Lars | 11–7 | 61.11% |
| F00TCLAN vs Claudio | 8–8 | 50.00% |
| F00TCLAN vs Kuma | 6–10 | 37.50% |
| F00TCLAN vs Panda | 9–7 | 56.25% |
| F00TCLAN vs Zafina | 8–7 | 53.33% |
| F00TCLAN vs Raven | 6–9 | 40.00% |
| F00TCLAN vs Shaheen | 7–3 | 70.00% |
| F00TCLAN vs Leo | 4–3 | 57.14% |
| F00TCLAN vs Miary Zo | 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.