| Geekpuant vs Kazuya | 88–75 | 53.99% |
| Geekpuant vs Hwoarang | 58–70 | 45.31% |
| Geekpuant vs Jin | 72–56 | 56.25% |
| Geekpuant vs Armor King | 61–62 | 49.59% |
| Geekpuant vs King | 60–57 | 51.28% |
| Geekpuant vs Bryan | 48–56 | 46.15% |
| Geekpuant vs Heihachi | 37–52 | 41.57% |
| Geekpuant vs Steve | 49–39 | 55.68% |
| Geekpuant vs Lili | 44–39 | 53.01% |
| Geekpuant vs Lars | 40–35 | 53.33% |
| Geekpuant vs Devil Jin | 30–44 | 40.54% |
| Geekpuant vs Law | 43–30 | 58.90% |
| Geekpuant vs Paul | 37–34 | 52.11% |
| Geekpuant vs Eddy | 37–34 | 52.11% |
| Geekpuant vs Miary Zo | 30–32 | 48.39% |
| Geekpuant vs Reina | 32–29 | 52.46% |
| Geekpuant vs Fahkumram | 31–30 | 50.82% |
| Geekpuant vs Dragunov | 28–30 | 48.28% |
| Geekpuant vs Lee | 28–29 | 49.12% |
| Geekpuant vs Anna | 26–25 | 50.98% |
| Geekpuant vs Yoshimitsu | 23–24 | 48.94% |
| Geekpuant vs Lidia | 25–22 | 53.19% |
| Geekpuant vs Jack-8 | 20–21 | 48.78% |
| Geekpuant vs Leroy | 23–18 | 56.10% |
| Geekpuant vs Xiaoyu | 20–20 | 50.00% |
| Geekpuant vs Asuka | 17–22 | 43.59% |
| Geekpuant vs Nina | 16–21 | 43.24% |
| Geekpuant vs Raven | 19–16 | 54.29% |
| Geekpuant vs Clive | 16–19 | 45.71% |
| Geekpuant vs Victor | 16–17 | 48.48% |
| Geekpuant vs Alisa | 13–19 | 40.62% |
| Geekpuant vs Jun | 10–22 | 31.25% |
| Geekpuant vs Azucena | 15–17 | 46.88% |
| Geekpuant vs Feng | 12–17 | 41.38% |
| Geekpuant vs Claudio | 12–13 | 48.00% |
| Geekpuant vs Zafina | 14–10 | 58.33% |
| Geekpuant vs Leo | 14–7 | 66.67% |
| Geekpuant vs Shaheen | 4–16 | 20.00% |
| Geekpuant vs Kuma | 15–4 | 78.95% |
| Geekpuant vs Panda | 4–0 | 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.