| GN001 vs Kazuya | 26–9 | 74.29% |
| GN001 vs Heihachi | 27–6 | 81.82% |
| GN001 vs King | 23–8 | 74.19% |
| GN001 vs Bryan | 17–10 | 62.96% |
| GN001 vs Jin | 18–5 | 78.26% |
| GN001 vs Dragunov | 20–1 | 95.24% |
| GN001 vs Lili | 15–4 | 78.95% |
| GN001 vs Law | 11–6 | 64.71% |
| GN001 vs Asuka | 15–2 | 88.24% |
| GN001 vs Lee | 14–3 | 82.35% |
| GN001 vs Paul | 12–4 | 75.00% |
| GN001 vs Lars | 11–5 | 68.75% |
| GN001 vs Jun | 14–2 | 87.50% |
| GN001 vs Steve | 11–3 | 78.57% |
| GN001 vs Devil Jin | 7–7 | 50.00% |
| GN001 vs Azucena | 13–1 | 92.86% |
| GN001 vs Lidia | 10–4 | 71.43% |
| GN001 vs Hwoarang | 7–6 | 53.85% |
| GN001 vs Leroy | 10–3 | 76.92% |
| GN001 vs Nina | 8–4 | 66.67% |
| GN001 vs Reina | 10–2 | 83.33% |
| GN001 vs Leo | 7–4 | 63.64% |
| GN001 vs Yoshimitsu | 7–3 | 70.00% |
| GN001 vs Feng | 7–2 | 77.78% |
| GN001 vs Victor | 8–1 | 88.89% |
| GN001 vs Shaheen | 5–2 | 71.43% |
| GN001 vs Alisa | 3–3 | 50.00% |
| GN001 vs Claudio | 6–0 | 100.00% |
| GN001 vs Armor King | 5–1 | 83.33% |
| GN001 vs Raven | 4–1 | 80.00% |
| GN001 vs Clive | 5–0 | 100.00% |
| GN001 vs Jack-8 | 4–0 | 100.00% |
| GN001 vs Eddy | 3–1 | 75.00% |
| GN001 vs Xiaoyu | 2–1 | 66.67% |
| GN001 vs Panda | 2–1 | 66.67% |
| GN001 vs Kuma | 2–0 | 100.00% |
| GN001 vs Miary Zo | 2–0 | 100.00% |
| GN001 vs Fahkumram | 1–0 | 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.