| LonelyPunch vs Hwoarang | 41–31 | 56.94% |
| LonelyPunch vs Kazuya | 47–24 | 66.20% |
| LonelyPunch vs Jin | 44–22 | 66.67% |
| LonelyPunch vs Dragunov | 25–36 | 40.98% |
| LonelyPunch vs Reina | 36–25 | 59.02% |
| LonelyPunch vs Paul | 25–26 | 49.02% |
| LonelyPunch vs Asuka | 16–29 | 35.56% |
| LonelyPunch vs Clive | 25–20 | 55.56% |
| LonelyPunch vs Steve | 22–22 | 50.00% |
| LonelyPunch vs Lili | 19–23 | 45.24% |
| LonelyPunch vs King | 24–17 | 58.54% |
| LonelyPunch vs Yoshimitsu | 19–22 | 46.34% |
| LonelyPunch vs Bryan | 20–21 | 48.78% |
| LonelyPunch vs Devil Jin | 17–23 | 42.50% |
| LonelyPunch vs Victor | 21–17 | 55.26% |
| LonelyPunch vs Lee | 17–19 | 47.22% |
| LonelyPunch vs Law | 11–18 | 37.93% |
| LonelyPunch vs Azucena | 13–15 | 46.43% |
| LonelyPunch vs Jack-8 | 7–17 | 29.17% |
| LonelyPunch vs Claudio | 15–9 | 62.50% |
| LonelyPunch vs Leroy | 13–11 | 54.17% |
| LonelyPunch vs Lars | 7–14 | 33.33% |
| LonelyPunch vs Xiaoyu | 11–9 | 55.00% |
| LonelyPunch vs Alisa | 11–9 | 55.00% |
| LonelyPunch vs Jun | 6–12 | 33.33% |
| LonelyPunch vs Heihachi | 11–6 | 64.71% |
| LonelyPunch vs Feng | 7–9 | 43.75% |
| LonelyPunch vs Leo | 10–5 | 66.67% |
| LonelyPunch vs Lidia | 7–8 | 46.67% |
| LonelyPunch vs Shaheen | 4–10 | 28.57% |
| LonelyPunch vs Nina | 5–9 | 35.71% |
| LonelyPunch vs Eddy | 5–7 | 41.67% |
| LonelyPunch vs Panda | 5–5 | 50.00% |
| LonelyPunch vs Kuma | 4–2 | 66.67% |
| LonelyPunch vs Raven | 4–2 | 66.67% |
| LonelyPunch vs Zafina | 0–2 | 0.00% |
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.