| faygofiend vs Reina | 52–27 | 65.82% |
| faygofiend vs Bryan | 40–33 | 54.79% |
| faygofiend vs Kazuya | 49–23 | 68.06% |
| faygofiend vs Steve | 36–29 | 55.38% |
| faygofiend vs Jin | 33–22 | 60.00% |
| faygofiend vs King | 34–16 | 68.00% |
| faygofiend vs Asuka | 19–31 | 38.00% |
| faygofiend vs Clive | 24–25 | 48.98% |
| faygofiend vs Azucena | 27–15 | 64.29% |
| faygofiend vs Paul | 20–17 | 54.05% |
| faygofiend vs Heihachi | 19–17 | 52.78% |
| faygofiend vs Dragunov | 19–16 | 54.29% |
| faygofiend vs Lidia | 20–14 | 58.82% |
| faygofiend vs Lili | 17–12 | 58.62% |
| faygofiend vs Law | 16–11 | 59.26% |
| faygofiend vs Yoshimitsu | 11–13 | 45.83% |
| faygofiend vs Lee | 6–17 | 26.09% |
| faygofiend vs Hwoarang | 11–10 | 52.38% |
| faygofiend vs Jack-8 | 12–9 | 57.14% |
| faygofiend vs Claudio | 13–8 | 61.90% |
| faygofiend vs Jun | 11–7 | 61.11% |
| faygofiend vs Raven | 10–8 | 55.56% |
| faygofiend vs Armor King | 6–12 | 33.33% |
| faygofiend vs Devil Jin | 7–10 | 41.18% |
| faygofiend vs Nina | 2–15 | 11.76% |
| faygofiend vs Xiaoyu | 7–8 | 46.67% |
| faygofiend vs Anna | 6–9 | 40.00% |
| faygofiend vs Feng | 6–8 | 42.86% |
| faygofiend vs Leo | 8–6 | 57.14% |
| faygofiend vs Shaheen | 4–8 | 33.33% |
| faygofiend vs Eddy | 5–7 | 41.67% |
| faygofiend vs Lars | 0–10 | 0.00% |
| faygofiend vs Leroy | 7–3 | 70.00% |
| faygofiend vs Alisa | 6–3 | 66.67% |
| faygofiend vs Kuma | 2–7 | 22.22% |
| faygofiend vs Miary Zo | 1–7 | 12.50% |
| faygofiend vs Victor | 3–4 | 42.86% |
| faygofiend vs Panda | 2–2 | 50.00% |
| faygofiend vs Zafina | 2–2 | 50.00% |
| faygofiend vs Fahkumram | 2–1 | 66.67% |
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.