| SleepyTonka vs King | 50–26 | 65.79% |
| SleepyTonka vs Kazuya | 38–37 | 50.67% |
| SleepyTonka vs Bryan | 42–26 | 61.76% |
| SleepyTonka vs Jin | 35–29 | 54.69% |
| SleepyTonka vs Reina | 32–31 | 50.79% |
| SleepyTonka vs Yoshimitsu | 25–20 | 55.56% |
| SleepyTonka vs Paul | 25–14 | 64.10% |
| SleepyTonka vs Hwoarang | 18–20 | 47.37% |
| SleepyTonka vs Dragunov | 16–22 | 42.11% |
| SleepyTonka vs Heihachi | 20–18 | 52.63% |
| SleepyTonka vs Steve | 25–12 | 67.57% |
| SleepyTonka vs Lili | 17–20 | 45.95% |
| SleepyTonka vs Lee | 13–22 | 37.14% |
| SleepyTonka vs Law | 17–12 | 58.62% |
| SleepyTonka vs Azucena | 13–16 | 44.83% |
| SleepyTonka vs Devil Jin | 13–14 | 48.15% |
| SleepyTonka vs Leo | 15–11 | 57.69% |
| SleepyTonka vs Clive | 13–13 | 50.00% |
| SleepyTonka vs Asuka | 10–15 | 40.00% |
| SleepyTonka vs Lars | 15–9 | 62.50% |
| SleepyTonka vs Victor | 12–11 | 52.17% |
| SleepyTonka vs Eddy | 8–12 | 40.00% |
| SleepyTonka vs Nina | 8–10 | 44.44% |
| SleepyTonka vs Jack-8 | 8–9 | 47.06% |
| SleepyTonka vs Raven | 7–10 | 41.18% |
| SleepyTonka vs Shaheen | 10–6 | 62.50% |
| SleepyTonka vs Claudio | 10–4 | 71.43% |
| SleepyTonka vs Leroy | 7–7 | 50.00% |
| SleepyTonka vs Alisa | 7–6 | 53.85% |
| SleepyTonka vs Feng | 8–4 | 66.67% |
| SleepyTonka vs Jun | 2–10 | 16.67% |
| SleepyTonka vs Xiaoyu | 7–3 | 70.00% |
| SleepyTonka vs Kuma | 3–5 | 37.50% |
| SleepyTonka vs Panda | 3–4 | 42.86% |
| SleepyTonka vs Lidia | 1–3 | 25.00% |
| SleepyTonka vs Zafina | 1–1 | 50.00% |
| SleepyTonka vs Fahkumram | 2–0 | 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.