| Geeman 3800 vs Jin | 17–8 | 68.00% |
| Geeman 3800 vs King | 10–13 | 43.48% |
| Geeman 3800 vs Eddy | 11–11 | 50.00% |
| Geeman 3800 vs Reina | 13–8 | 61.90% |
| Geeman 3800 vs Lidia | 13–8 | 61.90% |
| Geeman 3800 vs Kazuya | 9–9 | 50.00% |
| Geeman 3800 vs Law | 9–8 | 52.94% |
| Geeman 3800 vs Steve | 8–9 | 47.06% |
| Geeman 3800 vs Dragunov | 4–11 | 26.67% |
| Geeman 3800 vs Nina | 5–10 | 33.33% |
| Geeman 3800 vs Hwoarang | 8–4 | 66.67% |
| Geeman 3800 vs Lili | 5–7 | 41.67% |
| Geeman 3800 vs Jun | 5–7 | 41.67% |
| Geeman 3800 vs Asuka | 3–8 | 27.27% |
| Geeman 3800 vs Lars | 6–5 | 54.55% |
| Geeman 3800 vs Bryan | 7–3 | 70.00% |
| Geeman 3800 vs Victor | 8–2 | 80.00% |
| Geeman 3800 vs Armor King | 4–5 | 44.44% |
| Geeman 3800 vs Yoshimitsu | 5–3 | 62.50% |
| Geeman 3800 vs Azucena | 6–2 | 75.00% |
| Geeman 3800 vs Feng | 4–3 | 57.14% |
| Geeman 3800 vs Shaheen | 4–3 | 57.14% |
| Geeman 3800 vs Lee | 4–3 | 57.14% |
| Geeman 3800 vs Xiaoyu | 6–0 | 100.00% |
| Geeman 3800 vs Alisa | 1–5 | 16.67% |
| Geeman 3800 vs Heihachi | 4–2 | 66.67% |
| Geeman 3800 vs Clive | 4–1 | 80.00% |
| Geeman 3800 vs Miary Zo | 2–3 | 40.00% |
| Geeman 3800 vs Jack-8 | 3–1 | 75.00% |
| Geeman 3800 vs Devil Jin | 2–2 | 50.00% |
| Geeman 3800 vs Leroy | 1–2 | 33.33% |
| Geeman 3800 vs Fahkumram | 1–2 | 33.33% |
| Geeman 3800 vs Paul | 2–0 | 100.00% |
| Geeman 3800 vs Leo | 0–2 | 0.00% |
| Geeman 3800 vs Kuma | 2–0 | 100.00% |
| Geeman 3800 vs Raven | 2–0 | 100.00% |
| Geeman 3800 vs Anna | 1–1 | 50.00% |
| Geeman 3800 vs Claudio | 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.