| SEKOSAN vs Jin | 41–35 | 53.95% |
| SEKOSAN vs Kazuya | 30–45 | 40.00% |
| SEKOSAN vs King | 31–42 | 42.47% |
| SEKOSAN vs Hwoarang | 32–27 | 54.24% |
| SEKOSAN vs Bryan | 20–34 | 37.04% |
| SEKOSAN vs Armor King | 23–26 | 46.94% |
| SEKOSAN vs Law | 20–25 | 44.44% |
| SEKOSAN vs Steve | 24–20 | 54.55% |
| SEKOSAN vs Heihachi | 20–22 | 47.62% |
| SEKOSAN vs Lili | 17–23 | 42.50% |
| SEKOSAN vs Dragunov | 19–21 | 47.50% |
| SEKOSAN vs Asuka | 19–16 | 54.29% |
| SEKOSAN vs Reina | 14–21 | 40.00% |
| SEKOSAN vs Eddy | 18–12 | 60.00% |
| SEKOSAN vs Miary Zo | 8–19 | 29.63% |
| SEKOSAN vs Paul | 9–17 | 34.62% |
| SEKOSAN vs Yoshimitsu | 11–13 | 45.83% |
| SEKOSAN vs Victor | 17–6 | 73.91% |
| SEKOSAN vs Leroy | 7–15 | 31.82% |
| SEKOSAN vs Alisa | 14–7 | 66.67% |
| SEKOSAN vs Jun | 7–14 | 33.33% |
| SEKOSAN vs Feng | 8–12 | 40.00% |
| SEKOSAN vs Nina | 8–9 | 47.06% |
| SEKOSAN vs Fahkumram | 8–9 | 47.06% |
| SEKOSAN vs Azucena | 4–11 | 26.67% |
| SEKOSAN vs Devil Jin | 5–9 | 35.71% |
| SEKOSAN vs Lars | 4–10 | 28.57% |
| SEKOSAN vs Clive | 5–9 | 35.71% |
| SEKOSAN vs Leo | 6–5 | 54.55% |
| SEKOSAN vs Lee | 5–5 | 50.00% |
| SEKOSAN vs Jack-8 | 4–5 | 44.44% |
| SEKOSAN vs Raven | 3–5 | 37.50% |
| SEKOSAN vs Xiaoyu | 5–2 | 71.43% |
| SEKOSAN vs Claudio | 6–1 | 85.71% |
| SEKOSAN vs Zafina | 4–3 | 57.14% |
| SEKOSAN vs Lidia | 3–3 | 50.00% |
| SEKOSAN vs Kuma | 0–5 | 0.00% |
| SEKOSAN vs Shaheen | 1–3 | 25.00% |
| SEKOSAN vs Anna | 2–2 | 50.00% |
| SEKOSAN vs Panda | 0–1 | 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.