| CrabRaygun vs Jin | 14–15 | 48.28% |
| CrabRaygun vs Clive | 13–16 | 44.83% |
| CrabRaygun vs Steve | 12–16 | 42.86% |
| CrabRaygun vs King | 12–15 | 44.44% |
| CrabRaygun vs Reina | 15–11 | 57.69% |
| CrabRaygun vs Xiaoyu | 9–13 | 40.91% |
| CrabRaygun vs Azucena | 8–13 | 38.10% |
| CrabRaygun vs Kazuya | 10–6 | 62.50% |
| CrabRaygun vs Jack-8 | 10–6 | 62.50% |
| CrabRaygun vs Asuka | 9–7 | 56.25% |
| CrabRaygun vs Bryan | 6–8 | 42.86% |
| CrabRaygun vs Dragunov | 1–13 | 7.14% |
| CrabRaygun vs Nina | 3–9 | 25.00% |
| CrabRaygun vs Heihachi | 2–10 | 16.67% |
| CrabRaygun vs Lars | 5–6 | 45.45% |
| CrabRaygun vs Law | 3–7 | 30.00% |
| CrabRaygun vs Jun | 4–6 | 40.00% |
| CrabRaygun vs Devil Jin | 5–4 | 55.56% |
| CrabRaygun vs Leo | 5–4 | 55.56% |
| CrabRaygun vs Victor | 6–3 | 66.67% |
| CrabRaygun vs Eddy | 4–5 | 44.44% |
| CrabRaygun vs Lidia | 3–6 | 33.33% |
| CrabRaygun vs Yoshimitsu | 4–4 | 50.00% |
| CrabRaygun vs Lili | 5–3 | 62.50% |
| CrabRaygun vs Paul | 7–0 | 100.00% |
| CrabRaygun vs Kuma | 5–2 | 71.43% |
| CrabRaygun vs Zafina | 4–3 | 57.14% |
| CrabRaygun vs Fahkumram | 4–3 | 57.14% |
| CrabRaygun vs Hwoarang | 2–4 | 33.33% |
| CrabRaygun vs Feng | 0–6 | 0.00% |
| CrabRaygun vs Panda | 3–3 | 50.00% |
| CrabRaygun vs Alisa | 1–4 | 20.00% |
| CrabRaygun vs Lee | 2–3 | 40.00% |
| CrabRaygun vs Leroy | 2–1 | 66.67% |
| CrabRaygun vs Claudio | 0–2 | 0.00% |
| CrabRaygun vs Shaheen | 0–2 | 0.00% |
| CrabRaygun vs Raven | 2–0 | 100.00% |
| CrabRaygun vs Anna | 2–0 | 100.00% |
| CrabRaygun vs Armor King | 0–2 | 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.