| !geg vs Bryan | 79–50 | 61.24% |
| !geg vs King | 101–23 | 81.45% |
| !geg vs Kazuya | 58–48 | 54.72% |
| !geg vs Jin | 58–45 | 56.31% |
| !geg vs Steve | 68–35 | 66.02% |
| !geg vs Lee | 57–35 | 61.96% |
| !geg vs Dragunov | 57–29 | 66.28% |
| !geg vs Law | 53–27 | 66.25% |
| !geg vs Devil Jin | 56–24 | 70.00% |
| !geg vs Heihachi | 61–17 | 78.21% |
| !geg vs Paul | 63–13 | 82.89% |
| !geg vs Yoshimitsu | 50–24 | 67.57% |
| !geg vs Reina | 44–25 | 63.77% |
| !geg vs Hwoarang | 42–22 | 65.62% |
| !geg vs Lili | 37–18 | 67.27% |
| !geg vs Azucena | 30–23 | 56.60% |
| !geg vs Asuka | 31–15 | 67.39% |
| !geg vs Victor | 30–11 | 73.17% |
| !geg vs Clive | 21–20 | 51.22% |
| !geg vs Xiaoyu | 21–19 | 52.50% |
| !geg vs Lars | 21–18 | 53.85% |
| !geg vs Alisa | 23–15 | 60.53% |
| !geg vs Claudio | 30–8 | 78.95% |
| !geg vs Jun | 20–13 | 60.61% |
| !geg vs Shaheen | 16–15 | 51.61% |
| !geg vs Nina | 20–11 | 64.52% |
| !geg vs Kuma | 18–12 | 60.00% |
| !geg vs Armor King | 24–6 | 80.00% |
| !geg vs Lidia | 14–15 | 48.28% |
| !geg vs Feng | 16–11 | 59.26% |
| !geg vs Jack-8 | 8–15 | 34.78% |
| !geg vs Fahkumram | 13–7 | 65.00% |
| !geg vs Leroy | 14–4 | 77.78% |
| !geg vs Eddy | 11–7 | 61.11% |
| !geg vs Leo | 10–3 | 76.92% |
| !geg vs Anna | 10–3 | 76.92% |
| !geg vs Raven | 8–4 | 66.67% |
| !geg vs Zafina | 7–3 | 70.00% |
| !geg vs Panda | 5–2 | 71.43% |
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.