| ShrimpFriedRyus vs Hwoarang | 10–5 | 66.67% |
| ShrimpFriedRyus vs Kazuya | 8–5 | 61.54% |
| ShrimpFriedRyus vs Jin | 10–0 | 100.00% |
| ShrimpFriedRyus vs Law | 6–3 | 66.67% |
| ShrimpFriedRyus vs Steve | 7–2 | 77.78% |
| ShrimpFriedRyus vs Xiaoyu | 4–4 | 50.00% |
| ShrimpFriedRyus vs King | 4–3 | 57.14% |
| ShrimpFriedRyus vs Bryan | 3–3 | 50.00% |
| ShrimpFriedRyus vs Asuka | 2–4 | 33.33% |
| ShrimpFriedRyus vs Dragunov | 2–4 | 33.33% |
| ShrimpFriedRyus vs Leo | 2–4 | 33.33% |
| ShrimpFriedRyus vs Clive | 5–1 | 83.33% |
| ShrimpFriedRyus vs Eddy | 2–3 | 40.00% |
| ShrimpFriedRyus vs Anna | 2–3 | 40.00% |
| ShrimpFriedRyus vs Lars | 3–1 | 75.00% |
| ShrimpFriedRyus vs Yoshimitsu | 3–0 | 100.00% |
| ShrimpFriedRyus vs Jack-8 | 2–1 | 66.67% |
| ShrimpFriedRyus vs Shaheen | 1–2 | 33.33% |
| ShrimpFriedRyus vs Lee | 1–2 | 33.33% |
| ShrimpFriedRyus vs Reina | 2–1 | 66.67% |
| ShrimpFriedRyus vs Victor | 3–0 | 100.00% |
| ShrimpFriedRyus vs Fahkumram | 2–1 | 66.67% |
| ShrimpFriedRyus vs Paul | 2–0 | 100.00% |
| ShrimpFriedRyus vs Nina | 0–2 | 0.00% |
| ShrimpFriedRyus vs Azucena | 2–0 | 100.00% |
| ShrimpFriedRyus vs Raven | 0–2 | 0.00% |
| ShrimpFriedRyus vs Heihachi | 0–2 | 0.00% |
| ShrimpFriedRyus vs Devil Jin | 1–0 | 100.00% |
| ShrimpFriedRyus vs Feng | 0–1 | 0.00% |
| ShrimpFriedRyus vs Lili | 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.