| GreenLover vs Steve | 62–100 | 38.27% |
| GreenLover vs King | 67–85 | 44.08% |
| GreenLover vs Kazuya | 68–69 | 49.64% |
| GreenLover vs Jin | 55–74 | 42.64% |
| GreenLover vs Bryan | 44–61 | 41.90% |
| GreenLover vs Dragunov | 43–58 | 42.57% |
| GreenLover vs Reina | 35–51 | 40.70% |
| GreenLover vs Hwoarang | 31–52 | 37.35% |
| GreenLover vs Paul | 30–52 | 36.59% |
| GreenLover vs Heihachi | 31–49 | 38.75% |
| GreenLover vs Lili | 24–45 | 34.78% |
| GreenLover vs Law | 21–46 | 31.34% |
| GreenLover vs Clive | 22–39 | 36.07% |
| GreenLover vs Lars | 11–38 | 22.45% |
| GreenLover vs Nina | 13–35 | 27.08% |
| GreenLover vs Armor King | 19–26 | 42.22% |
| GreenLover vs Lidia | 17–26 | 39.53% |
| GreenLover vs Anna | 17–26 | 39.53% |
| GreenLover vs Victor | 16–26 | 38.10% |
| GreenLover vs Devil Jin | 10–31 | 24.39% |
| GreenLover vs Eddy | 8–33 | 19.51% |
| GreenLover vs Leroy | 8–32 | 20.00% |
| GreenLover vs Lee | 6–31 | 16.22% |
| GreenLover vs Asuka | 6–29 | 17.14% |
| GreenLover vs Yoshimitsu | 14–19–1 | 42.42% |
| GreenLover vs Feng | 16–18 | 47.06% |
| GreenLover vs Alisa | 12–22 | 35.29% |
| GreenLover vs Jack-8 | 8–24 | 25.00% |
| GreenLover vs Jun | 10–22 | 31.25% |
| GreenLover vs Xiaoyu | 7–24 | 22.58% |
| GreenLover vs Fahkumram | 10–20 | 33.33% |
| GreenLover vs Claudio | 12–15 | 44.44% |
| GreenLover vs Azucena | 8–18 | 30.77% |
| GreenLover vs Zafina | 7–17 | 29.17% |
| GreenLover vs Kuma | 4–16 | 20.00% |
| GreenLover vs Leo | 5–13 | 27.78% |
| GreenLover vs Panda | 10–5 | 66.67% |
| GreenLover vs Raven | 3–8 | 27.27% |
| GreenLover vs Shaheen | 5–5 | 50.00% |
| GreenLover vs Miary Zo | 3–5 | 37.50% |
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.