| !geg vs Bryan | 85–55 | 60.71% |
| !geg vs King | 103–23 | 81.75% |
| !geg vs Kazuya | 67–53 | 55.83% |
| !geg vs Steve | 73–40 | 64.60% |
| !geg vs Jin | 61–47 | 56.48% |
| !geg vs Lee | 61–35 | 63.54% |
| !geg vs Dragunov | 57–29 | 66.28% |
| !geg vs Paul | 69–13 | 84.15% |
| !geg vs Devil Jin | 58–24 | 70.73% |
| !geg vs Law | 53–27 | 66.25% |
| !geg vs Heihachi | 62–18 | 77.50% |
| !geg vs Yoshimitsu | 50–24 | 67.57% |
| !geg vs Hwoarang | 46–25 | 64.79% |
| !geg vs Reina | 45–26 | 63.38% |
| !geg vs Lili | 38–18 | 67.86% |
| !geg vs Azucena | 30–23 | 56.60% |
| !geg vs Asuka | 31–15 | 67.39% |
| !geg vs Lars | 25–19 | 56.82% |
| !geg vs Victor | 32–12 | 72.73% |
| !geg vs Xiaoyu | 22–20 | 52.38% |
| !geg vs Clive | 21–20 | 51.22% |
| !geg vs Armor King | 33–8 | 80.49% |
| !geg vs Alisa | 23–15 | 60.53% |
| !geg vs Claudio | 30–8 | 78.95% |
| !geg vs Jun | 22–13 | 62.86% |
| !geg vs Kuma | 19–14 | 57.58% |
| !geg vs Nina | 21–11 | 65.62% |
| !geg vs Shaheen | 16–15 | 51.61% |
| !geg vs Feng | 17–13 | 56.67% |
| !geg vs Lidia | 14–16 | 46.67% |
| !geg vs Jack-8 | 8–15 | 34.78% |
| !geg vs Fahkumram | 13–8 | 61.90% |
| !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 | 6–2 | 75.00% |
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.