| jungle7s vs Miary Zo | 9–8 | 52.94% |
| jungle7s vs Jin | 8–6 | 57.14% |
| jungle7s vs Reina | 3–10 | 23.08% |
| jungle7s vs Kazuya | 1–11 | 8.33% |
| jungle7s vs Yoshimitsu | 5–6 | 45.45% |
| jungle7s vs Claudio | 8–3 | 72.73% |
| jungle7s vs Jun | 4–7 | 36.36% |
| jungle7s vs Heihachi | 5–6 | 45.45% |
| jungle7s vs Azucena | 6–4 | 60.00% |
| jungle7s vs Armor King | 4–6 | 40.00% |
| jungle7s vs Hwoarang | 4–5 | 44.44% |
| jungle7s vs Bryan | 3–6 | 33.33% |
| jungle7s vs Lili | 6–3 | 66.67% |
| jungle7s vs Victor | 6–3 | 66.67% |
| jungle7s vs Law | 3–5 | 37.50% |
| jungle7s vs Asuka | 6–2 | 75.00% |
| jungle7s vs Devil Jin | 4–4 | 50.00% |
| jungle7s vs Nina | 4–4 | 50.00% |
| jungle7s vs Lidia | 5–3 | 62.50% |
| jungle7s vs Xiaoyu | 2–5 | 28.57% |
| jungle7s vs Steve | 5–2 | 71.43% |
| jungle7s vs Panda | 6–1 | 85.71% |
| jungle7s vs Paul | 4–2 | 66.67% |
| jungle7s vs King | 4–2 | 66.67% |
| jungle7s vs Alisa | 5–1 | 83.33% |
| jungle7s vs Anna | 5–1 | 83.33% |
| jungle7s vs Jack-8 | 4–1 | 80.00% |
| jungle7s vs Lars | 2–3 | 40.00% |
| jungle7s vs Raven | 3–2 | 60.00% |
| jungle7s vs Eddy | 2–3 | 40.00% |
| jungle7s vs Fahkumram | 3–2 | 60.00% |
| jungle7s vs Dragunov | 3–1 | 75.00% |
| jungle7s vs Leo | 1–2 | 33.33% |
| jungle7s vs Feng | 1–1 | 50.00% |
| jungle7s vs Leroy | 0–2 | 0.00% |
| jungle7s vs Clive | 1–0 | 100.00% |
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.