| SegnaPosto vs Jin | 23–10 | 69.70% |
| SegnaPosto vs King | 11–8 | 57.89% |
| SegnaPosto vs Law | 6–8 | 42.86% |
| SegnaPosto vs Kazuya | 6–5 | 54.55% |
| SegnaPosto vs Azucena | 10–1 | 90.91% |
| SegnaPosto vs Dragunov | 4–5 | 44.44% |
| SegnaPosto vs Reina | 5–4 | 55.56% |
| SegnaPosto vs Yoshimitsu | 2–6 | 25.00% |
| SegnaPosto vs Steve | 6–2 | 75.00% |
| SegnaPosto vs Hwoarang | 4–3 | 57.14% |
| SegnaPosto vs Lili | 4–3 | 57.14% |
| SegnaPosto vs Alisa | 4–3 | 57.14% |
| SegnaPosto vs Claudio | 2–5 | 28.57% |
| SegnaPosto vs Eddy | 3–4 | 42.86% |
| SegnaPosto vs Devil Jin | 6–0 | 100.00% |
| SegnaPosto vs Lars | 3–2 | 60.00% |
| SegnaPosto vs Jun | 3–2 | 60.00% |
| SegnaPosto vs Bryan | 2–2 | 50.00% |
| SegnaPosto vs Kuma | 2–2 | 50.00% |
| SegnaPosto vs Lidia | 3–1 | 75.00% |
| SegnaPosto vs Paul | 2–1 | 66.67% |
| SegnaPosto vs Asuka | 2–1 | 66.67% |
| SegnaPosto vs Nina | 1–2 | 33.33% |
| SegnaPosto vs Victor | 2–1 | 66.67% |
| SegnaPosto vs Raven | 2–1 | 66.67% |
| SegnaPosto vs Heihachi | 0–3 | 0.00% |
| SegnaPosto vs Xiaoyu | 0–2 | 0.00% |
| SegnaPosto vs Jack-8 | 2–0 | 100.00% |
| SegnaPosto vs Leo | 0–2 | 0.00% |
| SegnaPosto vs Panda | 2–0 | 100.00% |
| SegnaPosto vs Leroy | 1–1 | 50.00% |
| SegnaPosto vs Lee | 0–1 | 0.00% |
| SegnaPosto vs Clive | 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.