| Rigel vs Jin | 26–26 | 50.00% |
| Rigel vs King | 25–23 | 52.08% |
| Rigel vs Reina | 19–20 | 48.72% |
| Rigel vs Heihachi | 18–13 | 58.06% |
| Rigel vs Kazuya | 17–10 | 62.96% |
| Rigel vs Jun | 18–8 | 69.23% |
| Rigel vs Asuka | 9–15 | 37.50% |
| Rigel vs Armor King | 11–12 | 47.83% |
| Rigel vs Eddy | 12–10 | 54.55% |
| Rigel vs Law | 13–7 | 65.00% |
| Rigel vs Lili | 9–10 | 47.37% |
| Rigel vs Alisa | 9–10 | 47.37% |
| Rigel vs Bryan | 10–8 | 55.56% |
| Rigel vs Paul | 5–12 | 29.41% |
| Rigel vs Xiaoyu | 3–12 | 20.00% |
| Rigel vs Victor | 9–6 | 60.00% |
| Rigel vs Anna | 6–6 | 50.00% |
| Rigel vs Steve | 10–1 | 90.91% |
| Rigel vs Devil Jin | 5–4 | 55.56% |
| Rigel vs Dragunov | 6–3 | 66.67% |
| Rigel vs Azucena | 4–5 | 44.44% |
| Rigel vs Jack-8 | 5–3 | 62.50% |
| Rigel vs Lars | 6–2 | 75.00% |
| Rigel vs Nina | 6–2 | 75.00% |
| Rigel vs Lidia | 2–6 | 25.00% |
| Rigel vs Leo | 2–5 | 28.57% |
| Rigel vs Clive | 1–6 | 14.29% |
| Rigel vs Yoshimitsu | 6–0 | 100.00% |
| Rigel vs Feng | 2–4 | 33.33% |
| Rigel vs Fahkumram | 3–3 | 50.00% |
| Rigel vs Hwoarang | 2–3 | 40.00% |
| Rigel vs Claudio | 2–3 | 40.00% |
| Rigel vs Raven | 3–2 | 60.00% |
| Rigel vs Lee | 2–2 | 50.00% |
| Rigel vs Kuma | 1–2 | 33.33% |
| Rigel vs Zafina | 0–3 | 0.00% |
| Rigel vs Miary Zo | 1–2 | 33.33% |
| Rigel vs Panda | 2–0 | 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.