| RhythmTk vs Jin | 49–37 | 56.98% |
| RhythmTk vs King | 22–51 | 30.14% |
| RhythmTk vs Armor King | 24–44 | 35.29% |
| RhythmTk vs Reina | 35–26 | 57.38% |
| RhythmTk vs Kazuya | 26–30 | 46.43% |
| RhythmTk vs Steve | 30–24 | 55.56% |
| RhythmTk vs Eddy | 29–25 | 53.70% |
| RhythmTk vs Bryan | 24–23 | 51.06% |
| RhythmTk vs Lili | 21–25 | 45.65% |
| RhythmTk vs Dragunov | 19–26 | 42.22% |
| RhythmTk vs Heihachi | 19–22 | 46.34% |
| RhythmTk vs Asuka | 19–20 | 48.72% |
| RhythmTk vs Fahkumram | 18–21 | 46.15% |
| RhythmTk vs Hwoarang | 22–16 | 57.89% |
| RhythmTk vs Law | 17–19 | 47.22% |
| RhythmTk vs Yoshimitsu | 21–13 | 61.76% |
| RhythmTk vs Lee | 14–17 | 45.16% |
| RhythmTk vs Leroy | 18–12 | 60.00% |
| RhythmTk vs Azucena | 14–16 | 46.67% |
| RhythmTk vs Victor | 13–13 | 50.00% |
| RhythmTk vs Lars | 11–14 | 44.00% |
| RhythmTk vs Clive | 8–17 | 32.00% |
| RhythmTk vs Paul | 11–12 | 47.83% |
| RhythmTk vs Xiaoyu | 10–12 | 45.45% |
| RhythmTk vs Miary Zo | 13–9 | 59.09% |
| RhythmTk vs Jun | 8–13 | 38.10% |
| RhythmTk vs Lidia | 13–8 | 61.90% |
| RhythmTk vs Devil Jin | 7–13 | 35.00% |
| RhythmTk vs Feng | 9–8 | 52.94% |
| RhythmTk vs Jack-8 | 6–9 | 40.00% |
| RhythmTk vs Nina | 6–8 | 42.86% |
| RhythmTk vs Alisa | 7–6 | 53.85% |
| RhythmTk vs Leo | 3–8 | 27.27% |
| RhythmTk vs Anna | 6–4 | 60.00% |
| RhythmTk vs Kuma | 4–5 | 44.44% |
| RhythmTk vs Zafina | 6–2 | 75.00% |
| RhythmTk vs Raven | 3–4 | 42.86% |
| RhythmTk vs Claudio | 3–3 | 50.00% |
| RhythmTk vs Panda | 2–2 | 50.00% |
| RhythmTk vs Shaheen | 2–1 | 66.67% |
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.