| isahyeon vs Kazuya | 99–89 | 52.66% |
| isahyeon vs Reina | 84–55 | 60.43% |
| isahyeon vs Dragunov | 65–65 | 50.00% |
| isahyeon vs Jin | 46–64 | 41.82% |
| isahyeon vs King | 63–46 | 57.80% |
| isahyeon vs Paul | 64–39 | 62.14% |
| isahyeon vs Bryan | 49–50 | 49.49% |
| isahyeon vs Asuka | 48–48 | 50.00% |
| isahyeon vs Steve | 49–41 | 54.44% |
| isahyeon vs Lili | 48–40 | 54.55% |
| isahyeon vs Hwoarang | 41–39 | 51.25% |
| isahyeon vs Victor | 35–34 | 50.72% |
| isahyeon vs Alisa | 34–28 | 54.84% |
| isahyeon vs Lidia | 37–24 | 60.66% |
| isahyeon vs Yoshimitsu | 33–26 | 55.93% |
| isahyeon vs Azucena | 30–28 | 51.72% |
| isahyeon vs Feng | 24–33 | 42.11% |
| isahyeon vs Xiaoyu | 32–20 | 61.54% |
| isahyeon vs Clive | 31–21 | 59.62% |
| isahyeon vs Jun | 30–19 | 61.22% |
| isahyeon vs Heihachi | 28–20 | 58.33% |
| isahyeon vs Law | 19–27 | 41.30% |
| isahyeon vs Devil Jin | 28–18 | 60.87% |
| isahyeon vs Leo | 18–26 | 40.91% |
| isahyeon vs Claudio | 28–12 | 70.00% |
| isahyeon vs Leroy | 24–11 | 68.57% |
| isahyeon vs Lars | 18–16 | 52.94% |
| isahyeon vs Lee | 18–16 | 52.94% |
| isahyeon vs Kuma | 24–9 | 72.73% |
| isahyeon vs Shaheen | 13–10 | 56.52% |
| isahyeon vs Jack-8 | 9–12 | 42.86% |
| isahyeon vs Raven | 11–9 | 55.00% |
| isahyeon vs Fahkumram | 9–11 | 45.00% |
| isahyeon vs Nina | 8–10 | 44.44% |
| isahyeon vs Eddy | 8–5 | 61.54% |
| isahyeon vs Zafina | 3–9 | 25.00% |
| isahyeon vs Panda | 6–3 | 66.67% |
| isahyeon vs Anna | 2–2 | 50.00% |
| isahyeon vs Armor King | 0–2 | 0.00% |
| isahyeon vs Miary Zo | 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.