| GNOOY vs Jin | 48–59 | 44.86% |
| GNOOY vs Kazuya | 35–47 | 42.68% |
| GNOOY vs Reina | 48–34 | 58.54% |
| GNOOY vs King | 34–40 | 45.95% |
| GNOOY vs Lili | 29–40 | 42.03% |
| GNOOY vs Yoshimitsu | 34–29 | 53.97% |
| GNOOY vs Hwoarang | 17–40 | 29.82% |
| GNOOY vs Jun | 27–26 | 50.94% |
| GNOOY vs Law | 23–29 | 44.23% |
| GNOOY vs Steve | 24–27 | 47.06% |
| GNOOY vs Bryan | 17–29 | 36.96% |
| GNOOY vs Paul | 15–22 | 40.54% |
| GNOOY vs Asuka | 20–17 | 54.05% |
| GNOOY vs Dragunov | 15–22 | 40.54% |
| GNOOY vs Azucena | 20–16 | 55.56% |
| GNOOY vs Devil Jin | 15–19 | 44.12% |
| GNOOY vs Victor | 13–20 | 39.39% |
| GNOOY vs Lee | 14–17 | 45.16% |
| GNOOY vs Eddy | 11–14 | 44.00% |
| GNOOY vs Feng | 8–15 | 34.78% |
| GNOOY vs Lidia | 13–10 | 56.52% |
| GNOOY vs Xiaoyu | 16–6 | 72.73% |
| GNOOY vs Lars | 9–12 | 42.86% |
| GNOOY vs Nina | 11–10 | 52.38% |
| GNOOY vs Alisa | 7–13 | 35.00% |
| GNOOY vs Leo | 10–8 | 55.56% |
| GNOOY vs Shaheen | 11–6 | 64.71% |
| GNOOY vs Kuma | 8–8 | 50.00% |
| GNOOY vs Claudio | 7–4 | 63.64% |
| GNOOY vs Leroy | 5–6 | 45.45% |
| GNOOY vs Jack-8 | 2–8 | 20.00% |
| GNOOY vs Fahkumram | 3–7 | 30.00% |
| GNOOY vs Panda | 1–6 | 14.29% |
| GNOOY vs Zafina | 2–5 | 28.57% |
| GNOOY vs Raven | 2–5 | 28.57% |
| GNOOY vs Heihachi | 3–4 | 42.86% |
| GNOOY vs Clive | 4–1 | 80.00% |
| GNOOY vs Anna | 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.