| Jawk_O vs King | 63–48 | 56.76% |
| Jawk_O vs Yoshimitsu | 51–54 | 48.57% |
| Jawk_O vs Bryan | 52–47 | 52.53% |
| Jawk_O vs Steve | 57–40 | 58.76% |
| Jawk_O vs Kazuya | 57–39 | 59.38% |
| Jawk_O vs Lee | 47–49 | 48.96% |
| Jawk_O vs Law | 49–40 | 55.06% |
| Jawk_O vs Asuka | 34–49 | 40.96% |
| Jawk_O vs Reina | 52–31 | 62.65% |
| Jawk_O vs Hwoarang | 40–42 | 48.78% |
| Jawk_O vs Lili | 37–42 | 46.84% |
| Jawk_O vs Leo | 34–39 | 46.58% |
| Jawk_O vs Jin | 38–34 | 52.78% |
| Jawk_O vs Paul | 31–37 | 45.59% |
| Jawk_O vs Dragunov | 35–33 | 51.47% |
| Jawk_O vs Victor | 31–29 | 51.67% |
| Jawk_O vs Nina | 28–29 | 49.12% |
| Jawk_O vs Feng | 28–27 | 50.91% |
| Jawk_O vs Alisa | 29–24 | 54.72% |
| Jawk_O vs Xiaoyu | 27–24 | 52.94% |
| Jawk_O vs Zafina | 32–18 | 64.00% |
| Jawk_O vs Clive | 29–16 | 64.44% |
| Jawk_O vs Devil Jin | 26–18 | 59.09% |
| Jawk_O vs Raven | 23–21 | 52.27% |
| Jawk_O vs Jack-8 | 11–31 | 26.19% |
| Jawk_O vs Shaheen | 20–22 | 47.62% |
| Jawk_O vs Jun | 20–22 | 47.62% |
| Jawk_O vs Azucena | 30–10 | 75.00% |
| Jawk_O vs Lars | 13–22 | 37.14% |
| Jawk_O vs Kuma | 21–14 | 60.00% |
| Jawk_O vs Heihachi | 19–16 | 54.29% |
| Jawk_O vs Eddy | 14–16 | 46.67% |
| Jawk_O vs Claudio | 13–7 | 65.00% |
| Jawk_O vs Leroy | 5–11 | 31.25% |
| Jawk_O vs Lidia | 11–5 | 68.75% |
| Jawk_O vs Panda | 5–9 | 35.71% |
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.