| AmegoSegarro vs King | 9–28 | 24.32% |
| AmegoSegarro vs Jin | 11–21 | 34.38% |
| AmegoSegarro vs Law | 6–25 | 19.35% |
| AmegoSegarro vs Steve | 10–16 | 38.46% |
| AmegoSegarro vs Kazuya | 1–16 | 5.88% |
| AmegoSegarro vs Hwoarang | 8–8 | 50.00% |
| AmegoSegarro vs Lili | 4–12 | 25.00% |
| AmegoSegarro vs Azucena | 2–14 | 12.50% |
| AmegoSegarro vs Heihachi | 6–10 | 37.50% |
| AmegoSegarro vs Armor King | 5–11 | 31.25% |
| AmegoSegarro vs Dragunov | 7–7 | 50.00% |
| AmegoSegarro vs Reina | 8–4 | 66.67% |
| AmegoSegarro vs Eddy | 3–9 | 25.00% |
| AmegoSegarro vs Bryan | 2–9 | 18.18% |
| AmegoSegarro vs Devil Jin | 7–4 | 63.64% |
| AmegoSegarro vs Anna | 3–8 | 27.27% |
| AmegoSegarro vs Feng | 4–5 | 44.44% |
| AmegoSegarro vs Nina | 3–6 | 33.33% |
| AmegoSegarro vs Leroy | 6–3 | 66.67% |
| AmegoSegarro vs Clive | 0–8 | 0.00% |
| AmegoSegarro vs Fahkumram | 1–6 | 14.29% |
| AmegoSegarro vs Claudio | 2–4 | 33.33% |
| AmegoSegarro vs Xiaoyu | 3–2 | 60.00% |
| AmegoSegarro vs Lars | 0–5 | 0.00% |
| AmegoSegarro vs Zafina | 2–3 | 40.00% |
| AmegoSegarro vs Victor | 1–4 | 20.00% |
| AmegoSegarro vs Jack-8 | 2–2 | 50.00% |
| AmegoSegarro vs Asuka | 1–3 | 25.00% |
| AmegoSegarro vs Alisa | 2–2 | 50.00% |
| AmegoSegarro vs Lee | 0–4 | 0.00% |
| AmegoSegarro vs Panda | 3–1 | 75.00% |
| AmegoSegarro vs Lidia | 2–2 | 50.00% |
| AmegoSegarro vs Paul | 1–2 | 33.33% |
| AmegoSegarro vs Yoshimitsu | 1–2 | 33.33% |
| AmegoSegarro vs Jun | 2–1 | 66.67% |
| AmegoSegarro vs Raven | 2–1 | 66.67% |
| AmegoSegarro vs Leo | 0–2 | 0.00% |
| AmegoSegarro vs Shaheen | 2–0 | 100.00% |
| AmegoSegarro vs Kuma | 0–2 | 0.00% |
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.