| GammaAlpha vs Kazuya | 115–77 | 59.90% |
| GammaAlpha vs Jin | 94–87 | 51.93% |
| GammaAlpha vs Bryan | 88–62 | 58.67% |
| GammaAlpha vs Dragunov | 81–64 | 55.86% |
| GammaAlpha vs King | 72–69 | 51.06% |
| GammaAlpha vs Paul | 58–42 | 58.00% |
| GammaAlpha vs Reina | 50–41 | 54.95% |
| GammaAlpha vs Feng | 40–43 | 48.19% |
| GammaAlpha vs Hwoarang | 41–38 | 51.90% |
| GammaAlpha vs Steve | 44–35 | 55.70% |
| GammaAlpha vs Yoshimitsu | 47–31 | 60.26% |
| GammaAlpha vs Heihachi | 35–39 | 47.30% |
| GammaAlpha vs Devil Jin | 30–40 | 42.86% |
| GammaAlpha vs Law | 43–26 | 62.32% |
| GammaAlpha vs Lidia | 28–33 | 45.90% |
| GammaAlpha vs Jack-8 | 34–25 | 57.63% |
| GammaAlpha vs Asuka | 28–30 | 48.28% |
| GammaAlpha vs Lee | 31–23 | 57.41% |
| GammaAlpha vs Nina | 20–27 | 42.55% |
| GammaAlpha vs Victor | 24–23 | 51.06% |
| GammaAlpha vs Lars | 30–16 | 65.22% |
| GammaAlpha vs Shaheen | 24–20 | 54.55% |
| GammaAlpha vs Lili | 21–21 | 50.00% |
| GammaAlpha vs Alisa | 26–16 | 61.90% |
| GammaAlpha vs Azucena | 19–20 | 48.72% |
| GammaAlpha vs Xiaoyu | 13–23 | 36.11% |
| GammaAlpha vs Leroy | 15–21 | 41.67% |
| GammaAlpha vs Claudio | 16–17 | 48.48% |
| GammaAlpha vs Kuma | 15–16 | 48.39% |
| GammaAlpha vs Leo | 11–16 | 40.74% |
| GammaAlpha vs Raven | 14–13 | 51.85% |
| GammaAlpha vs Jun | 5–16 | 23.81% |
| GammaAlpha vs Eddy | 5–13 | 27.78% |
| GammaAlpha vs Zafina | 3–12 | 20.00% |
| GammaAlpha vs Fahkumram | 7–6 | 53.85% |
| GammaAlpha vs Clive | 5–5 | 50.00% |
| GammaAlpha vs Panda | 0–4 | 0.00% |
| GammaAlpha vs Anna | 2–2 | 50.00% |
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.