| Saenchaï vs Jin | 12–6 | 66.67% |
| Saenchaï vs Kazuya | 6–12 | 33.33% |
| Saenchaï vs Hwoarang | 8–9 | 47.06% |
| Saenchaï vs Fahkumram | 9–8 | 52.94% |
| Saenchaï vs Law | 10–5 | 66.67% |
| Saenchaï vs Steve | 7–4 | 63.64% |
| Saenchaï vs Jun | 3–8 | 27.27% |
| Saenchaï vs Bryan | 2–8 | 20.00% |
| Saenchaï vs King | 2–7 | 22.22% |
| Saenchaï vs Eddy | 4–5 | 44.44% |
| Saenchaï vs Reina | 2–4 | 33.33% |
| Saenchaï vs Azucena | 2–4 | 33.33% |
| Saenchaï vs Heihachi | 4–2 | 66.67% |
| Saenchaï vs Shaheen | 4–1 | 80.00% |
| Saenchaï vs Panda | 2–3 | 40.00% |
| Saenchaï vs Leroy | 2–3 | 40.00% |
| Saenchaï vs Victor | 1–4 | 20.00% |
| Saenchaï vs Asuka | 2–2 | 50.00% |
| Saenchaï vs Feng | 3–1 | 75.00% |
| Saenchaï vs Nina | 2–2 | 50.00% |
| Saenchaï vs Raven | 3–1 | 75.00% |
| Saenchaï vs Dragunov | 1–2 | 33.33% |
| Saenchaï vs Leo | 2–1 | 66.67% |
| Saenchaï vs Lee | 3–0 | 100.00% |
| Saenchaï vs Yoshimitsu | 0–2 | 0.00% |
| Saenchaï vs Xiaoyu | 2–0 | 100.00% |
| Saenchaï vs Devil Jin | 2–0 | 100.00% |
| Saenchaï vs Lili | 0–2 | 0.00% |
| Saenchaï vs Lars | 2–0 | 100.00% |
| Saenchaï vs Claudio | 0–2 | 0.00% |
| Saenchaï vs Clive | 1–1 | 50.00% |
| Saenchaï vs Miary Zo | 2–0 | 100.00% |
| Saenchaï vs Paul | 0–1 | 0.00% |
| Saenchaï vs Alisa | 0–1 | 0.00% |
| Saenchaï vs Lidia | 0–1 | 0.00% |
| Saenchaï vs Armor King | 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.