| uwillpay vs King | 36–26 | 58.06% |
| uwillpay vs Hwoarang | 20–25 | 44.44% |
| uwillpay vs Jin | 29–13 | 69.05% |
| uwillpay vs Kazuya | 25–14 | 64.10% |
| uwillpay vs Paul | 17–16 | 51.52% |
| uwillpay vs Bryan | 19–11 | 63.33% |
| uwillpay vs Victor | 17–13 | 56.67% |
| uwillpay vs Reina | 19–10 | 65.52% |
| uwillpay vs Devil Jin | 11–17 | 39.29% |
| uwillpay vs Lili | 21–7 | 75.00% |
| uwillpay vs Xiaoyu | 17–9 | 65.38% |
| uwillpay vs Azucena | 19–6 | 76.00% |
| uwillpay vs Dragunov | 15–9 | 62.50% |
| uwillpay vs Steve | 14–9 | 60.87% |
| uwillpay vs Eddy | 13–10 | 56.52% |
| uwillpay vs Yoshimitsu | 10–12 | 45.45% |
| uwillpay vs Raven | 13–8 | 61.90% |
| uwillpay vs Leo | 14–6 | 70.00% |
| uwillpay vs Law | 13–6 | 68.42% |
| uwillpay vs Zafina | 7–11 | 38.89% |
| uwillpay vs Heihachi | 12–6 | 66.67% |
| uwillpay vs Lars | 7–10 | 41.18% |
| uwillpay vs Lidia | 7–7 | 50.00% |
| uwillpay vs Asuka | 9–4 | 69.23% |
| uwillpay vs Jun | 7–6 | 53.85% |
| uwillpay vs Feng | 7–5 | 58.33% |
| uwillpay vs Jack-8 | 7–3 | 70.00% |
| uwillpay vs Kuma | 4–6 | 40.00% |
| uwillpay vs Claudio | 4–5 | 44.44% |
| uwillpay vs Shaheen | 5–4 | 55.56% |
| uwillpay vs Alisa | 6–2 | 75.00% |
| uwillpay vs Nina | 5–3 | 62.50% |
| uwillpay vs Lee | 4–4 | 50.00% |
| uwillpay vs Leroy | 2–4 | 33.33% |
| uwillpay vs Clive | 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.