| Awewe vs Kazuya | 96–96 | 50.00% |
| Awewe vs Jin | 88–87 | 50.29% |
| Awewe vs King | 90–77 | 53.89% |
| Awewe vs Bryan | 60–68 | 46.88% |
| Awewe vs Hwoarang | 57–63 | 47.50% |
| Awewe vs Reina | 56–56 | 50.00% |
| Awewe vs Steve | 54–49 | 52.43% |
| Awewe vs Paul | 48–51 | 48.48% |
| Awewe vs Dragunov | 34–55 | 38.20% |
| Awewe vs Yoshimitsu | 54–33 | 62.07% |
| Awewe vs Law | 31–51 | 37.80% |
| Awewe vs Lili | 41–40 | 50.62% |
| Awewe vs Nina | 36–24 | 60.00% |
| Awewe vs Azucena | 24–35 | 40.68% |
| Awewe vs Devil Jin | 34–19 | 64.15% |
| Awewe vs Jun | 22–31 | 41.51% |
| Awewe vs Lee | 19–31 | 38.00% |
| Awewe vs Victor | 25–17 | 59.52% |
| Awewe vs Heihachi | 19–22 | 46.34% |
| Awewe vs Claudio | 17–23 | 42.50% |
| Awewe vs Eddy | 10–30 | 25.00% |
| Awewe vs Lars | 16–20 | 44.44% |
| Awewe vs Asuka | 17–16 | 51.52% |
| Awewe vs Raven | 10–23 | 30.30% |
| Awewe vs Feng | 12–20 | 37.50% |
| Awewe vs Jack-8 | 19–12 | 61.29% |
| Awewe vs Xiaoyu | 13–17 | 43.33% |
| Awewe vs Alisa | 16–14 | 53.33% |
| Awewe vs Leroy | 17–11 | 60.71% |
| Awewe vs Lidia | 11–16 | 40.74% |
| Awewe vs Leo | 12–10 | 54.55% |
| Awewe vs Clive | 9–10 | 47.37% |
| Awewe vs Kuma | 11–6 | 64.71% |
| Awewe vs Zafina | 8–9 | 47.06% |
| Awewe vs Shaheen | 7–5 | 58.33% |
| Awewe vs Panda | 3–3 | 50.00% |
| Awewe vs Anna | 3–0 | 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.