| geekfire vs King | 44–30 | 59.46% |
| geekfire vs Kazuya | 30–44 | 40.54% |
| geekfire vs Hwoarang | 34–37 | 47.89% |
| geekfire vs Jin | 31–34 | 47.69% |
| geekfire vs Steve | 24–25 | 48.98% |
| geekfire vs Eddy | 20–25 | 44.44% |
| geekfire vs Paul | 21–19 | 52.50% |
| geekfire vs Victor | 19–21 | 47.50% |
| geekfire vs Bryan | 19–20 | 48.72% |
| geekfire vs Lili | 11–27 | 28.95% |
| geekfire vs Fahkumram | 17–20 | 45.95% |
| geekfire vs Armor King | 19–16 | 54.29% |
| geekfire vs Law | 11–23 | 32.35% |
| geekfire vs Reina | 16–16 | 50.00% |
| geekfire vs Dragunov | 14–15 | 48.28% |
| geekfire vs Yoshimitsu | 10–18 | 35.71% |
| geekfire vs Nina | 12–14 | 46.15% |
| geekfire vs Lars | 10–15 | 40.00% |
| geekfire vs Azucena | 8–17 | 32.00% |
| geekfire vs Jun | 9–14 | 39.13% |
| geekfire vs Devil Jin | 9–11 | 45.00% |
| geekfire vs Lee | 7–13 | 35.00% |
| geekfire vs Heihachi | 15–5 | 75.00% |
| geekfire vs Xiaoyu | 11–6 | 64.71% |
| geekfire vs Alisa | 8–7 | 53.33% |
| geekfire vs Jack-8 | 3–9 | 25.00% |
| geekfire vs Asuka | 8–4 | 66.67% |
| geekfire vs Leo | 3–9 | 25.00% |
| geekfire vs Feng | 5–6 | 45.45% |
| geekfire vs Shaheen | 5–6 | 45.45% |
| geekfire vs Leroy | 4–7 | 36.36% |
| geekfire vs Anna | 4–6 | 40.00% |
| geekfire vs Raven | 3–5 | 37.50% |
| geekfire vs Lidia | 3–5 | 37.50% |
| geekfire vs Miary Zo | 5–2 | 71.43% |
| geekfire vs Clive | 3–3 | 50.00% |
| geekfire vs Claudio | 2–3 | 40.00% |
| geekfire vs Panda | 2–3 | 40.00% |
| geekfire vs Zafina | 1–1 | 50.00% |
| geekfire vs Kuma | 0–1 | 0.00% |
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.