| taehoon vs Kazuya | 95–105 | 47.50% |
| taehoon vs Bryan | 99–93 | 51.56% |
| taehoon vs Jin | 72–106 | 40.45% |
| taehoon vs King | 78–83 | 48.45% |
| taehoon vs Reina | 76–85 | 47.20% |
| taehoon vs Law | 59–88 | 40.14% |
| taehoon vs Steve | 61–81 | 42.96% |
| taehoon vs Hwoarang | 66–64 | 50.77% |
| taehoon vs Heihachi | 46–59 | 43.81% |
| taehoon vs Paul | 45–51 | 46.88% |
| taehoon vs Jun | 42–51 | 45.16% |
| taehoon vs Dragunov | 41–50 | 45.05% |
| taehoon vs Eddy | 46–39 | 54.12% |
| taehoon vs Lili | 43–41 | 51.19% |
| taehoon vs Yoshimitsu | 41–36 | 53.25% |
| taehoon vs Lars | 35–42 | 45.45% |
| taehoon vs Lee | 39–38 | 50.65% |
| taehoon vs Xiaoyu | 43–33 | 56.58% |
| taehoon vs Devil Jin | 23–45 | 33.82% |
| taehoon vs Azucena | 39–27 | 59.09% |
| taehoon vs Raven | 34–31 | 52.31% |
| taehoon vs Asuka | 27–36 | 42.86% |
| taehoon vs Nina | 30–30 | 50.00% |
| taehoon vs Victor | 27–32 | 45.76% |
| taehoon vs Jack-8 | 25–31 | 44.64% |
| taehoon vs Leo | 28–28 | 50.00% |
| taehoon vs Clive | 20–34 | 37.04% |
| taehoon vs Leroy | 20–29 | 40.82% |
| taehoon vs Feng | 27–21 | 56.25% |
| taehoon vs Alisa | 19–23 | 45.24% |
| taehoon vs Lidia | 18–24 | 42.86% |
| taehoon vs Claudio | 13–14 | 48.15% |
| taehoon vs Fahkumram | 7–18 | 28.00% |
| taehoon vs Zafina | 15–6 | 71.43% |
| taehoon vs Miary Zo | 6–15 | 28.57% |
| taehoon vs Armor King | 12–8 | 60.00% |
| taehoon vs Kuma | 4–13 | 23.53% |
| taehoon vs Shaheen | 7–7 | 50.00% |
| taehoon vs Anna | 5–8 | 38.46% |
| taehoon vs Panda | 3–4 | 42.86% |
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.