| JawKnee vs Bryan | 149–100 | 59.84% |
| JawKnee vs Steve | 100–74 | 57.47% |
| JawKnee vs Kazuya | 98–71 | 57.99% |
| JawKnee vs Reina | 88–58 | 60.27% |
| JawKnee vs Jin | 79–63 | 55.63% |
| JawKnee vs Lili | 64–76 | 45.71% |
| JawKnee vs King | 55–79 | 41.04% |
| JawKnee vs Paul | 70–58 | 54.69% |
| JawKnee vs Dragunov | 64–62 | 50.79% |
| JawKnee vs Hwoarang | 68–52 | 56.67% |
| JawKnee vs Lee | 71–48 | 59.66% |
| JawKnee vs Law | 63–50 | 55.75% |
| JawKnee vs Yoshimitsu | 51–61 | 45.54% |
| JawKnee vs Lars | 51–55 | 48.11% |
| JawKnee vs Devil Jin | 57–47 | 54.81% |
| JawKnee vs Xiaoyu | 44–44 | 50.00% |
| JawKnee vs Heihachi | 41–45 | 47.67% |
| JawKnee vs Raven | 47–28 | 62.67% |
| JawKnee vs Asuka | 31–36 | 46.27% |
| JawKnee vs Leo | 35–31 | 53.03% |
| JawKnee vs Nina | 28–35 | 44.44% |
| JawKnee vs Jack-8 | 33–29 | 53.23% |
| JawKnee vs Azucena | 35–21 | 62.50% |
| JawKnee vs Feng | 24–28 | 46.15% |
| JawKnee vs Alisa | 26–25 | 50.98% |
| JawKnee vs Claudio | 22–29 | 43.14% |
| JawKnee vs Victor | 25–21–1 | 54.35% |
| JawKnee vs Eddy | 19–25 | 43.18% |
| JawKnee vs Lidia | 20–16 | 55.56% |
| JawKnee vs Jun | 23–10 | 69.70% |
| JawKnee vs Kuma | 16–15 | 51.61% |
| JawKnee vs Shaheen | 21–8 | 72.41% |
| JawKnee vs Zafina | 10–15 | 40.00% |
| JawKnee vs Leroy | 13–12 | 52.00% |
| JawKnee vs Armor King | 6–18 | 25.00% |
| JawKnee vs Clive | 6–6 | 50.00% |
| JawKnee vs Panda | 5–5 | 50.00% |
| JawKnee vs Fahkumram | 4–6 | 40.00% |
| JawKnee 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.