| Amuro Ray vs Jin | 54–36 | 60.00% |
| Amuro Ray vs Bryan | 51–29 | 63.75% |
| Amuro Ray vs Dragunov | 48–19 | 71.64% |
| Amuro Ray vs King | 31–25 | 55.36% |
| Amuro Ray vs Kazuya | 31–23 | 57.41% |
| Amuro Ray vs Hwoarang | 28–21 | 57.14% |
| Amuro Ray vs Steve | 25–22 | 53.19% |
| Amuro Ray vs Reina | 27–20 | 57.45% |
| Amuro Ray vs Victor | 28–19 | 59.57% |
| Amuro Ray vs Law | 24–20 | 54.55% |
| Amuro Ray vs Devil Jin | 22–18 | 55.00% |
| Amuro Ray vs Lili | 22–17 | 56.41% |
| Amuro Ray vs Jun | 21–14 | 60.00% |
| Amuro Ray vs Yoshimitsu | 18–15 | 54.55% |
| Amuro Ray vs Xiaoyu | 19–14 | 57.58% |
| Amuro Ray vs Raven | 13–19 | 40.62% |
| Amuro Ray vs Paul | 17–9 | 65.38% |
| Amuro Ray vs Armor King | 11–15 | 42.31% |
| Amuro Ray vs Lars | 11–14 | 44.00% |
| Amuro Ray vs Claudio | 12–13 | 48.00% |
| Amuro Ray vs Feng | 10–14 | 41.67% |
| Amuro Ray vs Lee | 17–7 | 70.83% |
| Amuro Ray vs Azucena | 8–14 | 36.36% |
| Amuro Ray vs Nina | 9–11 | 45.00% |
| Amuro Ray vs Asuka | 16–3 | 84.21% |
| Amuro Ray vs Eddy | 11–8 | 57.89% |
| Amuro Ray vs Heihachi | 9–10 | 47.37% |
| Amuro Ray vs Leo | 6–11 | 35.29% |
| Amuro Ray vs Alisa | 12–5 | 70.59% |
| Amuro Ray vs Zafina | 8–4 | 66.67% |
| Amuro Ray vs Leroy | 4–5 | 44.44% |
| Amuro Ray vs Shaheen | 5–3 | 62.50% |
| Amuro Ray vs Panda | 2–6 | 25.00% |
| Amuro Ray vs Lidia | 4–4 | 50.00% |
| Amuro Ray vs Fahkumram | 2–4 | 33.33% |
| Amuro Ray vs Jack-8 | 1–4 | 20.00% |
| Amuro Ray vs Clive | 2–0 | 100.00% |
| Amuro Ray vs Anna | 2–0 | 100.00% |
| Amuro Ray vs Kuma | 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.