| Awaismrcool vs King | 38–22 | 63.33% |
| Awaismrcool vs Kazuya | 38–17 | 69.09% |
| Awaismrcool vs Jin | 30–16 | 65.22% |
| Awaismrcool vs Reina | 27–13 | 67.50% |
| Awaismrcool vs Dragunov | 19–20 | 48.72% |
| Awaismrcool vs Yoshimitsu | 13–23 | 36.11% |
| Awaismrcool vs Lili | 17–19 | 47.22% |
| Awaismrcool vs Victor | 22–14 | 61.11% |
| Awaismrcool vs Law | 20–12 | 62.50% |
| Awaismrcool vs Bryan | 17–15 | 53.12% |
| Awaismrcool vs Hwoarang | 18–12 | 60.00% |
| Awaismrcool vs Clive | 9–20 | 31.03% |
| Awaismrcool vs Paul | 14–13 | 51.85% |
| Awaismrcool vs Steve | 12–11 | 52.17% |
| Awaismrcool vs Lars | 13–9 | 59.09% |
| Awaismrcool vs Nina | 16–6 | 72.73% |
| Awaismrcool vs Asuka | 9–11 | 45.00% |
| Awaismrcool vs Xiaoyu | 9–10 | 47.37% |
| Awaismrcool vs Devil Jin | 5–13 | 27.78% |
| Awaismrcool vs Eddy | 14–4 | 77.78% |
| Awaismrcool vs Shaheen | 10–7 | 58.82% |
| Awaismrcool vs Heihachi | 8–9 | 47.06% |
| Awaismrcool vs Leroy | 7–9 | 43.75% |
| Awaismrcool vs Alisa | 3–11–1 | 21.43% |
| Awaismrcool vs Claudio | 8–7 | 53.33% |
| Awaismrcool vs Lee | 3–12 | 20.00% |
| Awaismrcool vs Feng | 5–9 | 35.71% |
| Awaismrcool vs Jun | 7–7 | 50.00% |
| Awaismrcool vs Lidia | 8–6 | 57.14% |
| Awaismrcool vs Leo | 2–9 | 18.18% |
| Awaismrcool vs Kuma | 2–9 | 18.18% |
| Awaismrcool vs Azucena | 5–6 | 45.45% |
| Awaismrcool vs Zafina | 6–4 | 60.00% |
| Awaismrcool vs Jack-8 | 4–5 | 44.44% |
| Awaismrcool vs Raven | 3–5 | 37.50% |
| Awaismrcool vs Panda | 2–2 | 50.00% |
| Awaismrcool vs Fahkumram | 1–2 | 33.33% |
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.