| TaehoonSeong vs Lidia | 15–25 | 37.50% |
| TaehoonSeong vs Jin | 10–11 | 47.62% |
| TaehoonSeong vs Steve | 10–10 | 50.00% |
| TaehoonSeong vs Reina | 6–12 | 33.33% |
| TaehoonSeong vs Lili | 3–14 | 17.65% |
| TaehoonSeong vs King | 5–11 | 31.25% |
| TaehoonSeong vs Yoshimitsu | 9–7 | 56.25% |
| TaehoonSeong vs Hwoarang | 7–7 | 50.00% |
| TaehoonSeong vs Bryan | 4–8 | 33.33% |
| TaehoonSeong vs Jun | 7–5 | 58.33% |
| TaehoonSeong vs Law | 5–6 | 45.45% |
| TaehoonSeong vs Zafina | 4–7 | 36.36% |
| TaehoonSeong vs Leroy | 4–7 | 36.36% |
| TaehoonSeong vs Xiaoyu | 2–8 | 20.00% |
| TaehoonSeong vs Kazuya | 2–7 | 22.22% |
| TaehoonSeong vs Claudio | 3–6 | 33.33% |
| TaehoonSeong vs Shaheen | 3–5 | 37.50% |
| TaehoonSeong vs Nina | 4–4 | 50.00% |
| TaehoonSeong vs Eddy | 4–4 | 50.00% |
| TaehoonSeong vs Paul | 2–5 | 28.57% |
| TaehoonSeong vs Victor | 5–2 | 71.43% |
| TaehoonSeong vs Leo | 2–4 | 33.33% |
| TaehoonSeong vs Lars | 1–5 | 16.67% |
| TaehoonSeong vs Asuka | 3–2 | 60.00% |
| TaehoonSeong vs Devil Jin | 3–2 | 60.00% |
| TaehoonSeong vs Feng | 4–1 | 80.00% |
| TaehoonSeong vs Kuma | 2–3 | 40.00% |
| TaehoonSeong vs Azucena | 2–2 | 50.00% |
| TaehoonSeong vs Alisa | 2–1 | 66.67% |
| TaehoonSeong vs Lee | 0–3 | 0.00% |
| TaehoonSeong vs Jack-8 | 0–2 | 0.00% |
| TaehoonSeong vs Dragunov | 2–0 | 100.00% |
| TaehoonSeong vs Raven | 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.