| GrEeN GaPiO vs Jin | 51–45 | 53.12% |
| GrEeN GaPiO vs Bryan | 49–38 | 56.32% |
| GrEeN GaPiO vs King | 52–34 | 60.47% |
| GrEeN GaPiO vs Kazuya | 49–37 | 56.98% |
| GrEeN GaPiO vs Hwoarang | 38–41 | 48.10% |
| GrEeN GaPiO vs Dragunov | 30–38 | 44.12% |
| GrEeN GaPiO vs Law | 36–25 | 59.02% |
| GrEeN GaPiO vs Paul | 30–28 | 51.72% |
| GrEeN GaPiO vs Yoshimitsu | 24–31 | 43.64% |
| GrEeN GaPiO vs Steve | 31–20 | 60.78% |
| GrEeN GaPiO vs Alisa | 24–24 | 50.00% |
| GrEeN GaPiO vs Reina | 23–25 | 47.92% |
| GrEeN GaPiO vs Heihachi | 21–25 | 45.65% |
| GrEeN GaPiO vs Lili | 18–26 | 40.91% |
| GrEeN GaPiO vs Victor | 17–27 | 38.64% |
| GrEeN GaPiO vs Eddy | 25–15 | 62.50% |
| GrEeN GaPiO vs Lee | 22–16 | 57.89% |
| GrEeN GaPiO vs Lars | 16–20 | 44.44% |
| GrEeN GaPiO vs Clive | 19–17 | 52.78% |
| GrEeN GaPiO vs Raven | 22–13 | 62.86% |
| GrEeN GaPiO vs Lidia | 22–11 | 66.67% |
| GrEeN GaPiO vs Jack-8 | 14–18 | 43.75% |
| GrEeN GaPiO vs Devil Jin | 13–19 | 40.62% |
| GrEeN GaPiO vs Jun | 15–17 | 46.88% |
| GrEeN GaPiO vs Feng | 11–19 | 36.67% |
| GrEeN GaPiO vs Nina | 15–13 | 53.57% |
| GrEeN GaPiO vs Asuka | 11–16 | 40.74% |
| GrEeN GaPiO vs Claudio | 12–14 | 46.15% |
| GrEeN GaPiO vs Xiaoyu | 14–11 | 56.00% |
| GrEeN GaPiO vs Leo | 12–13 | 48.00% |
| GrEeN GaPiO vs Leroy | 12–13 | 48.00% |
| GrEeN GaPiO vs Azucena | 11–9 | 55.00% |
| GrEeN GaPiO vs Shaheen | 1–9 | 10.00% |
| GrEeN GaPiO vs Kuma | 6–4 | 60.00% |
| GrEeN GaPiO vs Fahkumram | 5–3 | 62.50% |
| GrEeN GaPiO vs Zafina | 3–2 | 60.00% |
| GrEeN GaPiO vs Armor King | 2–0 | 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.