| SkelpedFudd vs Jin | 42–43 | 49.41% |
| SkelpedFudd vs Kazuya | 54–28 | 65.85% |
| SkelpedFudd vs Dragunov | 40–30 | 57.14% |
| SkelpedFudd vs Hwoarang | 33–30 | 52.38% |
| SkelpedFudd vs Law | 30–31 | 49.18% |
| SkelpedFudd vs King | 26–32 | 44.83% |
| SkelpedFudd vs Jun | 27–30 | 47.37% |
| SkelpedFudd vs Steve | 24–30 | 44.44% |
| SkelpedFudd vs Reina | 26–21 | 55.32% |
| SkelpedFudd vs Eddy | 26–16 | 61.90% |
| SkelpedFudd vs Bryan | 22–19 | 53.66% |
| SkelpedFudd vs Paul | 14–22 | 38.89% |
| SkelpedFudd vs Armor King | 20–16 | 55.56% |
| SkelpedFudd vs Lars | 18–13 | 58.06% |
| SkelpedFudd vs Nina | 16–12 | 57.14% |
| SkelpedFudd vs Lee | 9–18 | 33.33% |
| SkelpedFudd vs Feng | 13–12 | 52.00% |
| SkelpedFudd vs Azucena | 15–10 | 60.00% |
| SkelpedFudd vs Victor | 9–15 | 37.50% |
| SkelpedFudd vs Asuka | 13–10 | 56.52% |
| SkelpedFudd vs Alisa | 11–12 | 47.83% |
| SkelpedFudd vs Yoshimitsu | 12–10 | 54.55% |
| SkelpedFudd vs Xiaoyu | 12–10 | 54.55% |
| SkelpedFudd vs Devil Jin | 15–7 | 68.18% |
| SkelpedFudd vs Lili | 9–10 | 47.37% |
| SkelpedFudd vs Leo | 9–5 | 64.29% |
| SkelpedFudd vs Clive | 8–6 | 57.14% |
| SkelpedFudd vs Raven | 4–7 | 36.36% |
| SkelpedFudd vs Shaheen | 6–4 | 60.00% |
| SkelpedFudd vs Heihachi | 6–4 | 60.00% |
| SkelpedFudd vs Claudio | 1–8 | 11.11% |
| SkelpedFudd vs Leroy | 6–3 | 66.67% |
| SkelpedFudd vs Jack-8 | 4–4 | 50.00% |
| SkelpedFudd vs Kuma | 5–3 | 62.50% |
| SkelpedFudd vs Fahkumram | 4–4 | 50.00% |
| SkelpedFudd vs Miary Zo | 1–4 | 20.00% |
| SkelpedFudd vs Lidia | 4–0 | 100.00% |
| SkelpedFudd vs Anna | 2–2 | 50.00% |
| SkelpedFudd vs Zafina | 3–0 | 100.00% |
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.