| fokl vs Steve | 33–30 | 52.38% |
| fokl vs Jin | 21–30 | 41.18% |
| fokl vs King | 16–29 | 35.56% |
| fokl vs Bryan | 25–17 | 59.52% |
| fokl vs Law | 13–27 | 32.50% |
| fokl vs Clive | 17–20 | 45.95% |
| fokl vs Kazuya | 6–25 | 19.35% |
| fokl vs Dragunov | 14–17 | 45.16% |
| fokl vs Lars | 9–15–1 | 37.50% |
| fokl vs Reina | 7–16 | 30.43% |
| fokl vs Hwoarang | 4–18 | 18.18% |
| fokl vs Heihachi | 8–14 | 36.36% |
| fokl vs Victor | 11–10 | 52.38% |
| fokl vs Lili | 12–8 | 60.00% |
| fokl vs Jun | 11–8 | 57.89% |
| fokl vs Paul | 8–9 | 47.06% |
| fokl vs Alisa | 8–9 | 47.06% |
| fokl vs Eddy | 10–7 | 58.82% |
| fokl vs Anna | 4–12 | 25.00% |
| fokl vs Armor King | 6–8 | 42.86% |
| fokl vs Devil Jin | 3–10 | 23.08% |
| fokl vs Nina | 7–6 | 53.85% |
| fokl vs Lidia | 7–5 | 58.33% |
| fokl vs Fahkumram | 6–6 | 50.00% |
| fokl vs Yoshimitsu | 7–4 | 63.64% |
| fokl vs Xiaoyu | 4–7 | 36.36% |
| fokl vs Asuka | 1–10 | 9.09% |
| fokl vs Kuma | 3–5 | 37.50% |
| fokl vs Leo | 2–5 | 28.57% |
| fokl vs Raven | 2–5 | 28.57% |
| fokl vs Lee | 2–3 | 40.00% |
| fokl vs Leroy | 3–2 | 60.00% |
| fokl vs Azucena | 0–5 | 0.00% |
| fokl vs Miary Zo | 1–4 | 20.00% |
| fokl vs Feng | 1–2 | 33.33% |
| fokl vs Shaheen | 2–1 | 66.67% |
| fokl vs Jack-8 | 0–2 | 0.00% |
| fokl vs Claudio | 0–2 | 0.00% |
| fokl vs Zafina | 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.