| sanggcheoll vs Kazuya | 38–32 | 54.29% |
| sanggcheoll vs Paul | 27–34 | 44.26% |
| sanggcheoll vs Asuka | 35–25 | 58.33% |
| sanggcheoll vs Jin | 23–36 | 38.98% |
| sanggcheoll vs Steve | 32–25 | 56.14% |
| sanggcheoll vs Hwoarang | 31–21 | 59.62% |
| sanggcheoll vs King | 29–21 | 58.00% |
| sanggcheoll vs Dragunov | 23–23 | 50.00% |
| sanggcheoll vs Bryan | 26–19 | 57.78% |
| sanggcheoll vs Jun | 23–20 | 53.49% |
| sanggcheoll vs Law | 22–20 | 52.38% |
| sanggcheoll vs Victor | 23–18 | 56.10% |
| sanggcheoll vs Reina | 22–13–1 | 62.86% |
| sanggcheoll vs Alisa | 18–17 | 51.43% |
| sanggcheoll vs Lili | 16–18 | 47.06% |
| sanggcheoll vs Xiaoyu | 21–12 | 63.64% |
| sanggcheoll vs Yoshimitsu | 12–19 | 38.71% |
| sanggcheoll vs Fahkumram | 15–15 | 50.00% |
| sanggcheoll vs Azucena | 14–14 | 50.00% |
| sanggcheoll vs Nina | 10–17 | 37.04% |
| sanggcheoll vs Leroy | 12–12 | 50.00% |
| sanggcheoll vs Feng | 6–15 | 28.57% |
| sanggcheoll vs Devil Jin | 10–9 | 52.63% |
| sanggcheoll vs Claudio | 3–15 | 16.67% |
| sanggcheoll vs Lars | 6–11 | 35.29% |
| sanggcheoll vs Heihachi | 6–11 | 35.29% |
| sanggcheoll vs Eddy | 7–9 | 43.75% |
| sanggcheoll vs Leo | 7–8 | 46.67% |
| sanggcheoll vs Kuma | 10–4 | 71.43% |
| sanggcheoll vs Clive | 7–6 | 53.85% |
| sanggcheoll vs Lidia | 7–2 | 77.78% |
| sanggcheoll vs Anna | 2–7 | 22.22% |
| sanggcheoll vs Armor King | 1–8 | 11.11% |
| sanggcheoll vs Lee | 3–3 | 50.00% |
| sanggcheoll vs Jack-8 | 3–2 | 60.00% |
| sanggcheoll vs Shaheen | 4–0 | 100.00% |
| sanggcheoll vs Panda | 1–3 | 25.00% |
| sanggcheoll vs Zafina | 2–2 | 50.00% |
| sanggcheoll vs Raven | 0–3 | 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.