| SGeisse vs King | 24–64 | 27.27% |
| SGeisse vs Reina | 20–35 | 36.36% |
| SGeisse vs Law | 9–33 | 21.43% |
| SGeisse vs Steve | 13–27 | 32.50% |
| SGeisse vs Jin | 11–24 | 31.43% |
| SGeisse vs Devil Jin | 8–24 | 25.00% |
| SGeisse vs Dragunov | 4–26 | 13.33% |
| SGeisse vs Azucena | 8–19 | 29.63% |
| SGeisse vs Hwoarang | 6–18 | 25.00% |
| SGeisse vs Eddy | 8–16 | 33.33% |
| SGeisse vs Bryan | 8–14 | 36.36% |
| SGeisse vs Kazuya | 7–12 | 36.84% |
| SGeisse vs Lili | 8–10 | 44.44% |
| SGeisse vs Leroy | 12–4 | 75.00% |
| SGeisse vs Yoshimitsu | 8–7 | 53.33% |
| SGeisse vs Paul | 2–12 | 14.29% |
| SGeisse vs Asuka | 2–12 | 14.29% |
| SGeisse vs Lee | 5–4 | 55.56% |
| SGeisse vs Victor | 4–5 | 44.44% |
| SGeisse vs Fahkumram | 2–7 | 22.22% |
| SGeisse vs Claudio | 0–8 | 0.00% |
| SGeisse vs Nina | 2–6 | 25.00% |
| SGeisse vs Panda | 3–5 | 37.50% |
| SGeisse vs Jun | 3–5 | 37.50% |
| SGeisse vs Heihachi | 2–6 | 25.00% |
| SGeisse vs Feng | 2–5 | 28.57% |
| SGeisse vs Lidia | 3–4 | 42.86% |
| SGeisse vs Clive | 1–6 | 14.29% |
| SGeisse vs Lars | 2–3 | 40.00% |
| SGeisse vs Anna | 4–1 | 80.00% |
| SGeisse vs Leo | 0–4 | 0.00% |
| SGeisse vs Shaheen | 1–3 | 25.00% |
| SGeisse vs Raven | 2–2 | 50.00% |
| SGeisse vs Jack-8 | 0–3 | 0.00% |
| SGeisse vs Miary Zo | 0–2 | 0.00% |
| SGeisse vs Xiaoyu | 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.