| JackoLoona vs Reina | 22–14 | 61.11% |
| JackoLoona vs Bryan | 22–11 | 66.67% |
| JackoLoona vs Steve | 31–2 | 93.94% |
| JackoLoona vs Kazuya | 22–10 | 68.75% |
| JackoLoona vs Jin | 18–5 | 78.26% |
| JackoLoona vs Dragunov | 15–7 | 68.18% |
| JackoLoona vs Yoshimitsu | 12–8 | 60.00% |
| JackoLoona vs Heihachi | 12–8 | 60.00% |
| JackoLoona vs King | 15–4 | 78.95% |
| JackoLoona vs Azucena | 15–3 | 83.33% |
| JackoLoona vs Hwoarang | 13–4 | 76.47% |
| JackoLoona vs Nina | 9–7 | 56.25% |
| JackoLoona vs Zafina | 10–6 | 62.50% |
| JackoLoona vs Xiaoyu | 8–7 | 53.33% |
| JackoLoona vs Leroy | 10–5 | 66.67% |
| JackoLoona vs Jun | 10–5 | 66.67% |
| JackoLoona vs Lee | 11–2 | 84.62% |
| JackoLoona vs Devil Jin | 8–4 | 66.67% |
| JackoLoona vs Fahkumram | 4–6 | 40.00% |
| JackoLoona vs Victor | 5–4 | 55.56% |
| JackoLoona vs Lidia | 6–3 | 66.67% |
| JackoLoona vs Law | 1–7 | 12.50% |
| JackoLoona vs Lars | 4–4 | 50.00% |
| JackoLoona vs Alisa | 3–5 | 37.50% |
| JackoLoona vs Clive | 3–5 | 37.50% |
| JackoLoona vs Anna | 5–3 | 62.50% |
| JackoLoona vs Paul | 5–2 | 71.43% |
| JackoLoona vs Asuka | 2–5 | 28.57% |
| JackoLoona vs Lili | 5–2 | 71.43% |
| JackoLoona vs Feng | 3–2 | 60.00% |
| JackoLoona vs Shaheen | 2–3 | 40.00% |
| JackoLoona vs Kuma | 3–2 | 60.00% |
| JackoLoona vs Raven | 3–2 | 60.00% |
| JackoLoona vs Eddy | 3–2 | 60.00% |
| JackoLoona vs Claudio | 3–1 | 75.00% |
| JackoLoona vs Miary Zo | 2–2 | 50.00% |
| JackoLoona vs Jack-8 | 1–2 | 33.33% |
| JackoLoona vs Leo | 3–0 | 100.00% |
| JackoLoona vs Armor King | 1–1 | 50.00% |
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.