| Geeked vs Fahkumram | 57–63 | 47.50% |
| Geeked vs King | 61–47 | 56.48% |
| Geeked vs Kazuya | 51–57 | 47.22% |
| Geeked vs Law | 54–41 | 56.84% |
| Geeked vs Hwoarang | 47–43 | 52.22% |
| Geeked vs Dragunov | 39–37 | 51.32% |
| Geeked vs Armor King | 34–42 | 44.74% |
| Geeked vs Bryan | 22–36 | 37.93% |
| Geeked vs Eddy | 36–22 | 62.07% |
| Geeked vs Heihachi | 26–29 | 47.27% |
| Geeked vs Lars | 24–29 | 45.28% |
| Geeked vs Victor | 32–21 | 60.38% |
| Geeked vs Jin | 27–25 | 51.92% |
| Geeked vs Steve | 21–28 | 42.86% |
| Geeked vs Azucena | 22–22 | 50.00% |
| Geeked vs Jun | 24–18 | 57.14% |
| Geeked vs Yoshimitsu | 19–21 | 47.50% |
| Geeked vs Xiaoyu | 18–21 | 46.15% |
| Geeked vs Reina | 22–17 | 56.41% |
| Geeked vs Lee | 14–24 | 36.84% |
| Geeked vs Devil Jin | 21–16 | 56.76% |
| Geeked vs Paul | 17–17 | 50.00% |
| Geeked vs Feng | 20–14 | 58.82% |
| Geeked vs Lili | 13–21 | 38.24% |
| Geeked vs Asuka | 15–18 | 45.45% |
| Geeked vs Nina | 14–17 | 45.16% |
| Geeked vs Leroy | 14–15 | 48.28% |
| Geeked vs Clive | 15–13 | 53.57% |
| Geeked vs Lidia | 3–22 | 12.00% |
| Geeked vs Leo | 12–12 | 50.00% |
| Geeked vs Alisa | 11–10 | 52.38% |
| Geeked vs Anna | 8–13 | 38.10% |
| Geeked vs Claudio | 9–10 | 47.37% |
| Geeked vs Zafina | 10–8 | 55.56% |
| Geeked vs Miary Zo | 11–7 | 61.11% |
| Geeked vs Raven | 8–9 | 47.06% |
| Geeked vs Kuma | 7–6 | 53.85% |
| Geeked vs Jack-8 | 5–7 | 41.67% |
| Geeked vs Shaheen | 5–4 | 55.56% |
| Geeked vs Panda | 5–1 | 83.33% |
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.