| SugarRayRy vs Hwoarang | 35–30 | 53.85% |
| SugarRayRy vs Kazuya | 32–30 | 51.61% |
| SugarRayRy vs Jin | 25–30 | 45.45% |
| SugarRayRy vs Eddy | 20–21 | 48.78% |
| SugarRayRy vs Law | 17–21 | 44.74% |
| SugarRayRy vs Dragunov | 16–22 | 42.11% |
| SugarRayRy vs King | 17–20 | 45.95% |
| SugarRayRy vs Reina | 23–11 | 67.65% |
| SugarRayRy vs Steve | 16–16 | 50.00% |
| SugarRayRy vs Lidia | 16–15 | 51.61% |
| SugarRayRy vs Lili | 14–13 | 51.85% |
| SugarRayRy vs Heihachi | 14–13 | 51.85% |
| SugarRayRy vs Clive | 13–14 | 48.15% |
| SugarRayRy vs Asuka | 14–11 | 56.00% |
| SugarRayRy vs Paul | 13–9 | 59.09% |
| SugarRayRy vs Bryan | 13–9 | 59.09% |
| SugarRayRy vs Jun | 11–10 | 52.38% |
| SugarRayRy vs Devil Jin | 12–8 | 60.00% |
| SugarRayRy vs Victor | 10–10 | 50.00% |
| SugarRayRy vs Feng | 10–9 | 52.63% |
| SugarRayRy vs Alisa | 10–9 | 52.63% |
| SugarRayRy vs Yoshimitsu | 10–6 | 62.50% |
| SugarRayRy vs Jack-8 | 7–9 | 43.75% |
| SugarRayRy vs Fahkumram | 9–7 | 56.25% |
| SugarRayRy vs Xiaoyu | 6–9 | 40.00% |
| SugarRayRy vs Lee | 9–6 | 60.00% |
| SugarRayRy vs Lars | 7–6 | 53.85% |
| SugarRayRy vs Shaheen | 3–10 | 23.08% |
| SugarRayRy vs Nina | 8–5 | 61.54% |
| SugarRayRy vs Claudio | 3–7 | 30.00% |
| SugarRayRy vs Azucena | 1–8 | 11.11% |
| SugarRayRy vs Leo | 4–4 | 50.00% |
| SugarRayRy vs Zafina | 5–2 | 71.43% |
| SugarRayRy vs Anna | 4–3 | 57.14% |
| SugarRayRy vs Panda | 4–2 | 66.67% |
| SugarRayRy vs Raven | 1–5 | 16.67% |
| SugarRayRy vs Leroy | 4–0 | 100.00% |
| 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.