| RhythmTk vs Jin | 52–42 | 55.32% |
| RhythmTk vs King | 27–53 | 33.75% |
| RhythmTk vs Armor King | 28–47 | 37.33% |
| RhythmTk vs Kazuya | 35–35 | 50.00% |
| RhythmTk vs Reina | 41–27 | 60.29% |
| RhythmTk vs Steve | 34–33 | 50.75% |
| RhythmTk vs Bryan | 28–29 | 49.12% |
| RhythmTk vs Eddy | 29–25 | 53.70% |
| RhythmTk vs Heihachi | 24–26 | 48.00% |
| RhythmTk vs Hwoarang | 27–21 | 56.25% |
| RhythmTk vs Lili | 21–25 | 45.65% |
| RhythmTk vs Dragunov | 20–26 | 43.48% |
| RhythmTk vs Fahkumram | 19–23 | 45.24% |
| RhythmTk vs Law | 18–22 | 45.00% |
| RhythmTk vs Asuka | 19–20 | 48.72% |
| RhythmTk vs Yoshimitsu | 23–15 | 60.53% |
| RhythmTk vs Azucena | 15–20 | 42.86% |
| RhythmTk vs Lee | 16–17 | 48.48% |
| RhythmTk vs Leroy | 19–13 | 59.38% |
| RhythmTk vs Victor | 14–17 | 45.16% |
| RhythmTk vs Clive | 10–18 | 35.71% |
| RhythmTk vs Lars | 11–16 | 40.74% |
| RhythmTk vs Miary Zo | 15–11 | 57.69% |
| RhythmTk vs Paul | 11–14 | 44.00% |
| RhythmTk vs Xiaoyu | 10–14 | 41.67% |
| RhythmTk vs Lidia | 16–8 | 66.67% |
| RhythmTk vs Jun | 10–13 | 43.48% |
| RhythmTk vs Devil Jin | 7–13 | 35.00% |
| RhythmTk vs Feng | 9–10 | 47.37% |
| RhythmTk vs Nina | 6–12 | 33.33% |
| RhythmTk vs Jack-8 | 6–9 | 40.00% |
| RhythmTk vs Leo | 5–8 | 38.46% |
| RhythmTk vs Alisa | 7–6 | 53.85% |
| RhythmTk vs Claudio | 6–7 | 46.15% |
| RhythmTk vs Kuma | 5–7 | 41.67% |
| RhythmTk vs Zafina | 8–3 | 72.73% |
| RhythmTk vs Anna | 6–5 | 54.55% |
| RhythmTk vs Raven | 3–4 | 42.86% |
| RhythmTk vs Shaheen | 2–3 | 40.00% |
| RhythmTk vs Panda | 2–2 | 50.00% |
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.