| Fried_I_am vs King | 34–21 | 61.82% |
| Fried_I_am vs Reina | 29–26 | 52.73% |
| Fried_I_am vs Steve | 36–17 | 67.92% |
| Fried_I_am vs Jin | 26–17 | 60.47% |
| Fried_I_am vs Kazuya | 27–15 | 64.29% |
| Fried_I_am vs Bryan | 21–17 | 55.26% |
| Fried_I_am vs Heihachi | 18–19 | 48.65% |
| Fried_I_am vs Armor King | 18–18 | 50.00% |
| Fried_I_am vs Law | 20–14 | 58.82% |
| Fried_I_am vs Hwoarang | 13–19 | 40.62% |
| Fried_I_am vs Dragunov | 15–17 | 46.88% |
| Fried_I_am vs Lars | 22–6 | 78.57% |
| Fried_I_am vs Jun | 14–14 | 50.00% |
| Fried_I_am vs Azucena | 22–6 | 78.57% |
| Fried_I_am vs Eddy | 18–10 | 64.29% |
| Fried_I_am vs Yoshimitsu | 14–11 | 56.00% |
| Fried_I_am vs Victor | 17–8 | 68.00% |
| Fried_I_am vs Xiaoyu | 13–11 | 54.17% |
| Fried_I_am vs Paul | 12–9 | 57.14% |
| Fried_I_am vs Lili | 15–6 | 71.43% |
| Fried_I_am vs Clive | 11–10 | 52.38% |
| Fried_I_am vs Jack-8 | 9–9 | 50.00% |
| Fried_I_am vs Lee | 14–3 | 82.35% |
| Fried_I_am vs Fahkumram | 8–9 | 47.06% |
| Fried_I_am vs Miary Zo | 8–9 | 47.06% |
| Fried_I_am vs Devil Jin | 9–7 | 56.25% |
| Fried_I_am vs Lidia | 12–3 | 80.00% |
| Fried_I_am vs Asuka | 10–4 | 71.43% |
| Fried_I_am vs Nina | 6–8 | 42.86% |
| Fried_I_am vs Feng | 9–2 | 81.82% |
| Fried_I_am vs Raven | 8–3 | 72.73% |
| Fried_I_am vs Anna | 4–6 | 40.00% |
| Fried_I_am vs Alisa | 6–2 | 75.00% |
| Fried_I_am vs Claudio | 4–4 | 50.00% |
| Fried_I_am vs Zafina | 3–5 | 37.50% |
| Fried_I_am vs Leroy | 5–3 | 62.50% |
| Fried_I_am vs Shaheen | 2–3 | 40.00% |
| Fried_I_am vs Leo | 2–2 | 50.00% |
| Fried_I_am vs Panda | 2–2 | 50.00% |
| Fried_I_am vs Kuma | 1–0 | 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.