| Rigorous vs Reina | 33–26 | 55.93% |
| Rigorous vs King | 23–20 | 53.49% |
| Rigorous vs Kazuya | 24–18 | 57.14% |
| Rigorous vs Jin | 21–14 | 60.00% |
| Rigorous vs Steve | 14–16 | 46.67% |
| Rigorous vs Jun | 17–13 | 56.67% |
| Rigorous vs Bryan | 12–14 | 46.15% |
| Rigorous vs Lili | 17–9 | 65.38% |
| Rigorous vs Dragunov | 10–16 | 38.46% |
| Rigorous vs Hwoarang | 15–9 | 62.50% |
| Rigorous vs Yoshimitsu | 9–14 | 39.13% |
| Rigorous vs Azucena | 12–11 | 52.17% |
| Rigorous vs Law | 10–10 | 50.00% |
| Rigorous vs Feng | 8–12 | 40.00% |
| Rigorous vs Asuka | 9–10 | 47.37% |
| Rigorous vs Devil Jin | 9–10 | 47.37% |
| Rigorous vs Lee | 9–10 | 47.37% |
| Rigorous vs Xiaoyu | 6–12 | 33.33% |
| Rigorous vs Paul | 8–9 | 47.06% |
| Rigorous vs Leroy | 8–8 | 50.00% |
| Rigorous vs Lars | 5–9 | 35.71% |
| Rigorous vs Eddy | 8–5 | 61.54% |
| Rigorous vs Victor | 8–4 | 66.67% |
| Rigorous vs Alisa | 2–9 | 18.18% |
| Rigorous vs Nina | 7–4 | 63.64% |
| Rigorous vs Jack-8 | 4–3 | 57.14% |
| Rigorous vs Anna | 6–1 | 85.71% |
| Rigorous vs Raven | 1–5 | 16.67% |
| Rigorous vs Lidia | 5–1 | 83.33% |
| Rigorous vs Claudio | 3–2 | 60.00% |
| Rigorous vs Kuma | 2–3 | 40.00% |
| Rigorous vs Leo | 1–3 | 25.00% |
| Rigorous vs Shaheen | 2–2 | 50.00% |
| Rigorous vs Heihachi | 0–2 | 0.00% |
| Rigorous vs Fahkumram | 2–0 | 100.00% |
| Rigorous vs Clive | 0–1 | 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.