| GeeKloud vs Jin | 64–96–1 | 40.00% |
| GeeKloud vs Reina | 70–79 | 46.98% |
| GeeKloud vs Kazuya | 51–92 | 35.66% |
| GeeKloud vs Eddy | 30–70 | 30.00% |
| GeeKloud vs King | 36–61 | 37.11% |
| GeeKloud vs Law | 32–64 | 33.33% |
| GeeKloud vs Yoshimitsu | 34–49 | 40.96% |
| GeeKloud vs Hwoarang | 35–45 | 43.75% |
| GeeKloud vs Lili | 35–38 | 47.95% |
| GeeKloud vs Dragunov | 20–50 | 28.57% |
| GeeKloud vs Steve | 25–40 | 38.46% |
| GeeKloud vs Bryan | 21–40 | 34.43% |
| GeeKloud vs Paul | 20–35 | 36.36% |
| GeeKloud vs Asuka | 23–32 | 41.82% |
| GeeKloud vs Azucena | 19–33 | 36.54% |
| GeeKloud vs Victor | 21–30 | 41.18% |
| GeeKloud vs Jun | 18–31 | 36.73% |
| GeeKloud vs Lars | 13–35 | 27.08% |
| GeeKloud vs Lidia | 18–30 | 37.50% |
| GeeKloud vs Lee | 17–28 | 37.78% |
| GeeKloud vs Devil Jin | 15–29 | 34.09% |
| GeeKloud vs Leroy | 11–26 | 29.73% |
| GeeKloud vs Nina | 16–16 | 50.00% |
| GeeKloud vs Xiaoyu | 14–14 | 50.00% |
| GeeKloud vs Feng | 13–13 | 50.00% |
| GeeKloud vs Shaheen | 13–12 | 52.00% |
| GeeKloud vs Leo | 7–15 | 31.82% |
| GeeKloud vs Alisa | 11–10 | 52.38% |
| GeeKloud vs Kuma | 5–14 | 26.32% |
| GeeKloud vs Jack-8 | 4–12 | 25.00% |
| GeeKloud vs Raven | 4–12 | 25.00% |
| GeeKloud vs Claudio | 2–12 | 14.29% |
| GeeKloud vs Panda | 2–8 | 20.00% |
| GeeKloud vs Zafina | 3–6 | 33.33% |
| GeeKloud vs Heihachi | 1–2 | 33.33% |
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.