| R4zorEagle vs Jin | 65–75 | 46.43% |
| R4zorEagle vs King | 57–50 | 53.27% |
| R4zorEagle vs Kazuya | 49–53 | 48.04% |
| R4zorEagle vs Hwoarang | 36–55 | 39.56% |
| R4zorEagle vs Bryan | 57–33 | 63.33% |
| R4zorEagle vs Steve | 36–43 | 45.57% |
| R4zorEagle vs Law | 34–40 | 45.95% |
| R4zorEagle vs Eddy | 36–27 | 57.14% |
| R4zorEagle vs Lili | 37–24 | 60.66% |
| R4zorEagle vs Reina | 29–28 | 50.88% |
| R4zorEagle vs Yoshimitsu | 21–24 | 46.67% |
| R4zorEagle vs Lee | 14–26 | 35.00% |
| R4zorEagle vs Alisa | 24–15 | 61.54% |
| R4zorEagle vs Jun | 12–24 | 33.33% |
| R4zorEagle vs Devil Jin | 8–26 | 23.53% |
| R4zorEagle vs Lars | 17–17 | 50.00% |
| R4zorEagle vs Dragunov | 10–23 | 30.30% |
| R4zorEagle vs Asuka | 13–19 | 40.62% |
| R4zorEagle vs Paul | 17–13 | 56.67% |
| R4zorEagle vs Feng | 9–21 | 30.00% |
| R4zorEagle vs Nina | 14–13 | 51.85% |
| R4zorEagle vs Leo | 10–16 | 38.46% |
| R4zorEagle vs Xiaoyu | 10–15 | 40.00% |
| R4zorEagle vs Azucena | 16–9 | 64.00% |
| R4zorEagle vs Armor King | 11–14 | 44.00% |
| R4zorEagle vs Victor | 9–13 | 40.91% |
| R4zorEagle vs Miary Zo | 8–12 | 40.00% |
| R4zorEagle vs Jack-8 | 5–11 | 31.25% |
| R4zorEagle vs Leroy | 8–6 | 57.14% |
| R4zorEagle vs Raven | 6–8 | 42.86% |
| R4zorEagle vs Heihachi | 8–6 | 57.14% |
| R4zorEagle vs Shaheen | 7–6 | 53.85% |
| R4zorEagle vs Zafina | 7–6 | 53.85% |
| R4zorEagle vs Kuma | 5–6 | 45.45% |
| R4zorEagle vs Lidia | 6–3 | 66.67% |
| R4zorEagle vs Fahkumram | 2–7 | 22.22% |
| R4zorEagle vs Clive | 3–3 | 50.00% |
| R4zorEagle vs Anna | 2–4 | 33.33% |
| R4zorEagle vs Claudio | 1–4 | 20.00% |
| R4zorEagle vs Panda | 2–3 | 40.00% |
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.