| SleepyPuma vs Reina | 44–38 | 53.66% |
| SleepyPuma vs Steve | 38–34 | 52.78% |
| SleepyPuma vs Dragunov | 34–33 | 50.75% |
| SleepyPuma vs Kazuya | 37–25 | 59.68% |
| SleepyPuma vs Hwoarang | 28–27 | 50.91% |
| SleepyPuma vs King | 34–20 | 62.96% |
| SleepyPuma vs Yoshimitsu | 25–28 | 47.17% |
| SleepyPuma vs Lili | 36–16 | 69.23% |
| SleepyPuma vs Paul | 31–17 | 64.58% |
| SleepyPuma vs Jin | 29–12 | 70.73% |
| SleepyPuma vs Bryan | 27–14 | 65.85% |
| SleepyPuma vs Xiaoyu | 24–14 | 63.16% |
| SleepyPuma vs Jack-8 | 21–16 | 56.76% |
| SleepyPuma vs Jun | 19–15 | 55.88% |
| SleepyPuma vs Azucena | 18–16 | 52.94% |
| SleepyPuma vs Armor King | 17–17 | 50.00% |
| SleepyPuma vs Nina | 16–11 | 59.26% |
| SleepyPuma vs Lee | 14–13 | 51.85% |
| SleepyPuma vs Eddy | 13–13 | 50.00% |
| SleepyPuma vs Leo | 13–12 | 52.00% |
| SleepyPuma vs Victor | 10–14 | 41.67% |
| SleepyPuma vs Devil Jin | 12–11 | 52.17% |
| SleepyPuma vs Feng | 13–9 | 59.09% |
| SleepyPuma vs Alisa | 12–10 | 54.55% |
| SleepyPuma vs Law | 11–10 | 52.38% |
| SleepyPuma vs Raven | 9–12 | 42.86% |
| SleepyPuma vs Lars | 15–4 | 78.95% |
| SleepyPuma vs Asuka | 13–3 | 81.25% |
| SleepyPuma vs Shaheen | 6–6 | 50.00% |
| SleepyPuma vs Miary Zo | 10–2 | 83.33% |
| SleepyPuma vs Zafina | 6–4 | 60.00% |
| SleepyPuma vs Heihachi | 4–6 | 40.00% |
| SleepyPuma vs Clive | 8–2 | 80.00% |
| SleepyPuma vs Leroy | 1–8 | 11.11% |
| SleepyPuma vs Kuma | 4–4 | 50.00% |
| SleepyPuma vs Lidia | 1–6 | 14.29% |
| SleepyPuma vs Panda | 1–2 | 33.33% |
| SleepyPuma vs Anna | 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.