| hawkonic vs Jin | 37–19 | 66.07% |
| hawkonic vs King | 29–19 | 60.42% |
| hawkonic vs Kazuya | 22–19 | 53.66% |
| hawkonic vs Reina | 21–19 | 52.50% |
| hawkonic vs Law | 20–9 | 68.97% |
| hawkonic vs Bryan | 18–10 | 64.29% |
| hawkonic vs Yoshimitsu | 13–14 | 48.15% |
| hawkonic vs Hwoarang | 20–7 | 74.07% |
| hawkonic vs Steve | 12–7 | 63.16% |
| hawkonic vs Lili | 8–10 | 44.44% |
| hawkonic vs Dragunov | 9–9 | 50.00% |
| hawkonic vs Paul | 11–6 | 64.71% |
| hawkonic vs Nina | 9–8 | 52.94% |
| hawkonic vs Victor | 11–5 | 68.75% |
| hawkonic vs Eddy | 5–11 | 31.25% |
| hawkonic vs Jun | 10–5 | 66.67% |
| hawkonic vs Azucena | 7–8 | 46.67% |
| hawkonic vs Devil Jin | 7–7 | 50.00% |
| hawkonic vs Heihachi | 9–5 | 64.29% |
| hawkonic vs Xiaoyu | 10–3 | 76.92% |
| hawkonic vs Feng | 4–8 | 33.33% |
| hawkonic vs Lars | 7–5 | 58.33% |
| hawkonic vs Armor King | 4–8 | 33.33% |
| hawkonic vs Asuka | 8–3 | 72.73% |
| hawkonic vs Jack-8 | 5–5 | 50.00% |
| hawkonic vs Zafina | 8–2 | 80.00% |
| hawkonic vs Lee | 7–2 | 77.78% |
| hawkonic vs Alisa | 4–4 | 50.00% |
| hawkonic vs Leroy | 2–3 | 40.00% |
| hawkonic vs Anna | 4–1 | 80.00% |
| hawkonic vs Lidia | 1–3 | 25.00% |
| hawkonic vs Leo | 2–1 | 66.67% |
| hawkonic vs Panda | 3–0 | 100.00% |
| hawkonic vs Clive | 3–0 | 100.00% |
| hawkonic vs Claudio | 2–0 | 100.00% |
| hawkonic vs Kuma | 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.