| SugarRayRy vs Hwoarang | 35–31 | 53.03% |
| SugarRayRy vs Kazuya | 32–34 | 48.48% |
| SugarRayRy vs Jin | 27–33 | 45.00% |
| SugarRayRy vs Eddy | 20–24 | 45.45% |
| SugarRayRy vs King | 19–21 | 47.50% |
| SugarRayRy vs Dragunov | 16–23 | 41.03% |
| SugarRayRy vs Law | 17–21 | 44.74% |
| SugarRayRy vs Steve | 19–19 | 50.00% |
| SugarRayRy vs Lidia | 18–17 | 51.43% |
| SugarRayRy vs Reina | 23–11 | 67.65% |
| SugarRayRy vs Lili | 16–14 | 53.33% |
| SugarRayRy vs Clive | 13–16 | 44.83% |
| SugarRayRy vs Heihachi | 14–13 | 51.85% |
| SugarRayRy vs Asuka | 14–11 | 56.00% |
| SugarRayRy vs Bryan | 15–9 | 62.50% |
| SugarRayRy vs Devil Jin | 15–8 | 65.22% |
| SugarRayRy vs Jun | 12–11 | 52.17% |
| SugarRayRy vs Paul | 13–9 | 59.09% |
| SugarRayRy vs Victor | 10–10 | 50.00% |
| SugarRayRy vs Feng | 10–9 | 52.63% |
| SugarRayRy vs Alisa | 10–9 | 52.63% |
| SugarRayRy vs Nina | 10–8 | 55.56% |
| SugarRayRy vs Yoshimitsu | 10–7 | 58.82% |
| SugarRayRy vs Fahkumram | 10–7 | 58.82% |
| SugarRayRy vs Jack-8 | 7–9 | 43.75% |
| SugarRayRy vs Lars | 8–8 | 50.00% |
| SugarRayRy vs Lee | 9–7 | 56.25% |
| SugarRayRy vs Xiaoyu | 6–9 | 40.00% |
| SugarRayRy vs Shaheen | 3–10 | 23.08% |
| SugarRayRy vs Azucena | 3–8 | 27.27% |
| SugarRayRy vs Claudio | 3–7 | 30.00% |
| SugarRayRy vs Leo | 4–4 | 50.00% |
| SugarRayRy vs Anna | 5–3 | 62.50% |
| SugarRayRy vs Zafina | 5–2 | 71.43% |
| SugarRayRy vs Raven | 1–6 | 14.29% |
| SugarRayRy vs Panda | 4–2 | 66.67% |
| SugarRayRy vs Leroy | 4–1 | 80.00% |
| SugarRayRy vs Armor King | 1–2 | 33.33% |
| SugarRayRy vs Kuma | 1–1 | 50.00% |
| SugarRayRy vs Miary Zo | 1–0 | 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.