| Jeesup vs Reina | 30–26 | 53.57% |
| Jeesup vs Kazuya | 30–23 | 56.60% |
| Jeesup vs King | 32–18 | 64.00% |
| Jeesup vs Bryan | 25–22 | 53.19% |
| Jeesup vs Yoshimitsu | 29–15 | 65.91% |
| Jeesup vs Jin | 15–24 | 38.46% |
| Jeesup vs Dragunov | 22–15 | 59.46% |
| Jeesup vs Law | 13–21 | 38.24% |
| Jeesup vs Lili | 15–19 | 44.12% |
| Jeesup vs Eddy | 12–18 | 40.00% |
| Jeesup vs Hwoarang | 8–16 | 33.33% |
| Jeesup vs Lars | 15–9 | 62.50% |
| Jeesup vs Victor | 9–14 | 39.13% |
| Jeesup vs Lee | 10–12 | 45.45% |
| Jeesup vs Xiaoyu | 7–14 | 33.33% |
| Jeesup vs Feng | 11–7 | 61.11% |
| Jeesup vs Azucena | 8–9 | 47.06% |
| Jeesup vs Raven | 12–5 | 70.59% |
| Jeesup vs Paul | 9–7 | 56.25% |
| Jeesup vs Devil Jin | 5–11 | 31.25% |
| Jeesup vs Alisa | 8–8 | 50.00% |
| Jeesup vs Nina | 6–10 | 37.50% |
| Jeesup vs Steve | 7–5 | 58.33% |
| Jeesup vs Jack-8 | 5–7 | 41.67% |
| Jeesup vs Leroy | 4–8 | 33.33% |
| Jeesup vs Clive | 3–9 | 25.00% |
| Jeesup vs Asuka | 8–3 | 72.73% |
| Jeesup vs Claudio | 9–2 | 81.82% |
| Jeesup vs Leo | 1–9 | 10.00% |
| Jeesup vs Zafina | 4–5 | 44.44% |
| Jeesup vs Heihachi | 3–6 | 33.33% |
| Jeesup vs Jun | 2–6 | 25.00% |
| Jeesup vs Shaheen | 3–4 | 42.86% |
| Jeesup vs Lidia | 1–2 | 33.33% |
| Jeesup vs Panda | 1–1 | 50.00% |
| Jeesup vs Kuma | 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.