| Geezy_Geebs vs Hwoarang | 7–7 | 50.00% |
| Geezy_Geebs vs Lili | 4–8 | 33.33% |
| Geezy_Geebs vs King | 6–4 | 60.00% |
| Geezy_Geebs vs Yoshimitsu | 6–2 | 75.00% |
| Geezy_Geebs vs Asuka | 8–0 | 100.00% |
| Geezy_Geebs vs Paul | 3–3 | 50.00% |
| Geezy_Geebs vs Leroy | 5–1 | 83.33% |
| Geezy_Geebs vs Azucena | 4–2 | 66.67% |
| Geezy_Geebs vs Victor | 3–3 | 50.00% |
| Geezy_Geebs vs Xiaoyu | 3–2 | 60.00% |
| Geezy_Geebs vs Kazuya | 3–2 | 60.00% |
| Geezy_Geebs vs Zafina | 3–2 | 60.00% |
| Geezy_Geebs vs Law | 2–2 | 50.00% |
| Geezy_Geebs vs Jun | 3–1 | 75.00% |
| Geezy_Geebs vs Eddy | 2–2 | 50.00% |
| Geezy_Geebs vs Jin | 2–1 | 66.67% |
| Geezy_Geebs vs Devil Jin | 2–1 | 66.67% |
| Geezy_Geebs vs Nina | 1–2 | 33.33% |
| Geezy_Geebs vs Kuma | 2–1 | 66.67% |
| Geezy_Geebs vs Reina | 2–1 | 66.67% |
| Geezy_Geebs vs Anna | 2–1 | 66.67% |
| Geezy_Geebs vs Feng | 0–2 | 0.00% |
| Geezy_Geebs vs Leo | 2–0 | 100.00% |
| Geezy_Geebs vs Alisa | 1–1 | 50.00% |
| Geezy_Geebs vs Lee | 1–1 | 50.00% |
| Geezy_Geebs vs Bryan | 1–0 | 100.00% |
| Geezy_Geebs vs Steve | 1–0 | 100.00% |
| Geezy_Geebs vs Claudio | 0–1 | 0.00% |
| Geezy_Geebs vs Shaheen | 0–1 | 0.00% |
| Geezy_Geebs vs Fahkumram | 1–0 | 100.00% |
| Geezy_Geebs vs Armor King | 1–0 | 100.00% |
| Geezy_Geebs vs Miary Zo | 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.