| fiend vs Jin | 27–18 | 60.00% |
| fiend vs Kazuya | 32–8 | 80.00% |
| fiend vs King | 19–12 | 61.29% |
| fiend vs Bryan | 14–16 | 46.67% |
| fiend vs Hwoarang | 12–14 | 46.15% |
| fiend vs Paul | 10–9 | 52.63% |
| fiend vs Lili | 9–9 | 50.00% |
| fiend vs Steve | 8–9 | 47.06% |
| fiend vs Asuka | 13–4 | 76.47% |
| fiend vs Reina | 10–7 | 58.82% |
| fiend vs Heihachi | 6–11 | 35.29% |
| fiend vs Dragunov | 8–6 | 57.14% |
| fiend vs Feng | 8–5 | 61.54% |
| fiend vs Leo | 9–4 | 69.23% |
| fiend vs Nina | 6–7 | 46.15% |
| fiend vs Lee | 10–3 | 76.92% |
| fiend vs Armor King | 11–2 | 84.62% |
| fiend vs Azucena | 8–4 | 66.67% |
| fiend vs Law | 6–5 | 54.55% |
| fiend vs Victor | 5–6 | 45.45% |
| fiend vs Lars | 6–4 | 60.00% |
| fiend vs Lidia | 6–4 | 60.00% |
| fiend vs Clive | 6–4 | 60.00% |
| fiend vs Yoshimitsu | 3–6 | 33.33% |
| fiend vs Jun | 8–1 | 88.89% |
| fiend vs Kuma | 5–2 | 71.43% |
| fiend vs Jack-8 | 4–2 | 66.67% |
| fiend vs Eddy | 1–5 | 16.67% |
| fiend vs Zafina | 2–3 | 40.00% |
| fiend vs Leroy | 2–2 | 50.00% |
| fiend vs Xiaoyu | 3–0 | 100.00% |
| fiend vs Devil Jin | 3–0 | 100.00% |
| fiend vs Alisa | 2–1 | 66.67% |
| fiend vs Raven | 1–2 | 33.33% |
| fiend vs Anna | 1–2 | 33.33% |
| fiend vs Shaheen | 2–0 | 100.00% |
| fiend vs Fahkumram | 2–0 | 100.00% |
| fiend vs Claudio | 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.