| JollyJumpz vs King | 33–24 | 57.89% |
| JollyJumpz vs Jin | 22–33 | 40.00% |
| JollyJumpz vs Dragunov | 21–31 | 40.38% |
| JollyJumpz vs Steve | 29–22 | 56.86% |
| JollyJumpz vs Hwoarang | 15–31 | 32.61% |
| JollyJumpz vs Fahkumram | 21–25 | 45.65% |
| JollyJumpz vs Reina | 16–27 | 37.21% |
| JollyJumpz vs Kazuya | 14–24 | 36.84% |
| JollyJumpz vs Yoshimitsu | 17–16 | 51.52% |
| JollyJumpz vs Lili | 11–22 | 33.33% |
| JollyJumpz vs Bryan | 17–14 | 54.84% |
| JollyJumpz vs Law | 11–16 | 40.74% |
| JollyJumpz vs Azucena | 12–13 | 48.00% |
| JollyJumpz vs Paul | 8–14 | 36.36% |
| JollyJumpz vs Victor | 12–9 | 57.14% |
| JollyJumpz vs Jun | 7–13 | 35.00% |
| JollyJumpz vs Lars | 11–8 | 57.89% |
| JollyJumpz vs Eddy | 8–11 | 42.11% |
| JollyJumpz vs Anna | 13–6 | 68.42% |
| JollyJumpz vs Asuka | 4–12 | 25.00% |
| JollyJumpz vs Devil Jin | 9–7 | 56.25% |
| JollyJumpz vs Jack-8 | 8–7 | 53.33% |
| JollyJumpz vs Lidia | 10–4 | 71.43% |
| JollyJumpz vs Clive | 5–9 | 35.71% |
| JollyJumpz vs Leo | 6–6 | 50.00% |
| JollyJumpz vs Claudio | 8–4 | 66.67% |
| JollyJumpz vs Lee | 4–8 | 33.33% |
| JollyJumpz vs Heihachi | 2–10 | 16.67% |
| JollyJumpz vs Alisa | 2–8 | 20.00% |
| JollyJumpz vs Feng | 1–7 | 12.50% |
| JollyJumpz vs Shaheen | 6–2 | 75.00% |
| JollyJumpz vs Leroy | 2–4 | 33.33% |
| JollyJumpz vs Xiaoyu | 4–1 | 80.00% |
| JollyJumpz vs Nina | 0–5 | 0.00% |
| JollyJumpz vs Kuma | 1–4 | 20.00% |
| JollyJumpz vs Zafina | 2–1 | 66.67% |
| JollyJumpz vs Armor King | 1–2 | 33.33% |
| JollyJumpz vs Panda | 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.