| T.U.G-SlyRSI vs King | 71–45 | 61.21% |
| T.U.G-SlyRSI vs Victor | 34–35 | 49.28% |
| T.U.G-SlyRSI vs Nina | 26–31 | 45.61% |
| T.U.G-SlyRSI vs Reina | 24–30 | 44.44% |
| T.U.G-SlyRSI vs Lee | 38–15 | 71.70% |
| T.U.G-SlyRSI vs Steve | 32–17 | 65.31% |
| T.U.G-SlyRSI vs Devil Jin | 30–18 | 62.50% |
| T.U.G-SlyRSI vs Law | 28–11 | 71.79% |
| T.U.G-SlyRSI vs Yoshimitsu | 21–18 | 53.85% |
| T.U.G-SlyRSI vs Shaheen | 17–22 | 43.59% |
| T.U.G-SlyRSI vs Leroy | 26–13 | 66.67% |
| T.U.G-SlyRSI vs Paul | 18–17 | 51.43% |
| T.U.G-SlyRSI vs Hwoarang | 17–18 | 48.57% |
| T.U.G-SlyRSI vs Kuma | 16–15 | 51.61% |
| T.U.G-SlyRSI vs Jin | 27–3 | 90.00% |
| T.U.G-SlyRSI vs Bryan | 25–4 | 86.21% |
| T.U.G-SlyRSI vs Lars | 23–6 | 79.31% |
| T.U.G-SlyRSI vs Kazuya | 17–9 | 65.38% |
| T.U.G-SlyRSI vs Xiaoyu | 12–12 | 50.00% |
| T.U.G-SlyRSI vs Feng | 15–9 | 62.50% |
| T.U.G-SlyRSI vs Alisa | 14–10 | 58.33% |
| T.U.G-SlyRSI vs Claudio | 18–6 | 75.00% |
| T.U.G-SlyRSI vs Dragunov | 17–6 | 73.91% |
| T.U.G-SlyRSI vs Eddy | 10–13 | 43.48% |
| T.U.G-SlyRSI vs Raven | 10–11 | 47.62% |
| T.U.G-SlyRSI vs Lili | 13–7 | 65.00% |
| T.U.G-SlyRSI vs Heihachi | 10–10 | 50.00% |
| T.U.G-SlyRSI vs Asuka | 12–6 | 66.67% |
| T.U.G-SlyRSI vs Jun | 14–1 | 93.33% |
| T.U.G-SlyRSI vs Azucena | 6–8 | 42.86% |
| T.U.G-SlyRSI vs Jack-8 | 5–3 | 62.50% |
| T.U.G-SlyRSI vs Leo | 5–3 | 62.50% |
| T.U.G-SlyRSI vs Zafina | 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.