| JawsFG_ vs Bryan | 30–44 | 40.54% |
| JawsFG_ vs King | 41–23 | 64.06% |
| JawsFG_ vs Yoshimitsu | 26–25 | 50.98% |
| JawsFG_ vs Jin | 33–16 | 67.35% |
| JawsFG_ vs Reina | 34–13 | 72.34% |
| JawsFG_ vs Kazuya | 26–20 | 56.52% |
| JawsFG_ vs Law | 25–19 | 56.82% |
| JawsFG_ vs Hwoarang | 26–18 | 59.09% |
| JawsFG_ vs Dragunov | 25–9 | 73.53% |
| JawsFG_ vs Lili | 15–15 | 50.00% |
| JawsFG_ vs Devil Jin | 19–9 | 67.86% |
| JawsFG_ vs Paul | 10–17 | 37.04% |
| JawsFG_ vs Heihachi | 14–13 | 51.85% |
| JawsFG_ vs Lee | 16–5 | 76.19% |
| JawsFG_ vs Alisa | 10–9 | 52.63% |
| JawsFG_ vs Steve | 11–7 | 61.11% |
| JawsFG_ vs Feng | 4–12 | 25.00% |
| JawsFG_ vs Eddy | 6–10 | 37.50% |
| JawsFG_ vs Jun | 11–4 | 73.33% |
| JawsFG_ vs Asuka | 7–7 | 50.00% |
| JawsFG_ vs Lars | 2–11 | 15.38% |
| JawsFG_ vs Lidia | 7–6 | 53.85% |
| JawsFG_ vs Nina | 6–6 | 50.00% |
| JawsFG_ vs Leo | 4–7 | 36.36% |
| JawsFG_ vs Leroy | 5–6 | 45.45% |
| JawsFG_ vs Xiaoyu | 2–7 | 22.22% |
| JawsFG_ vs Zafina | 5–4 | 55.56% |
| JawsFG_ vs Victor | 4–5 | 44.44% |
| JawsFG_ vs Claudio | 5–3 | 62.50% |
| JawsFG_ vs Azucena | 3–5 | 37.50% |
| JawsFG_ vs Clive | 6–2 | 75.00% |
| JawsFG_ vs Jack-8 | 3–3 | 50.00% |
| JawsFG_ vs Shaheen | 3–3 | 50.00% |
| JawsFG_ vs Raven | 0–2 | 0.00% |
| JawsFG_ vs Kuma | 0–1 | 0.00% |
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.