| Jamblem7 vs Heihachi | 97–122 | 44.29% |
| Jamblem7 vs King | 104–105 | 49.76% |
| Jamblem7 vs Jin | 76–109 | 41.08% |
| Jamblem7 vs Kazuya | 70–62 | 53.03% |
| Jamblem7 vs Reina | 73–49 | 59.84% |
| Jamblem7 vs Bryan | 57–49 | 53.77% |
| Jamblem7 vs Armor King | 44–59 | 42.72% |
| Jamblem7 vs Steve | 41–56 | 42.27% |
| Jamblem7 vs Paul | 33–44 | 42.86% |
| Jamblem7 vs Azucena | 37–40 | 48.05% |
| Jamblem7 vs Lili | 35–35 | 50.00% |
| Jamblem7 vs Dragunov | 34–33 | 50.75% |
| Jamblem7 vs Law | 28–38 | 42.42% |
| Jamblem7 vs Lee | 23–39 | 37.10% |
| Jamblem7 vs Asuka | 21–35 | 37.50% |
| Jamblem7 vs Eddy | 26–29 | 47.27% |
| Jamblem7 vs Devil Jin | 18–36 | 33.33% |
| Jamblem7 vs Feng | 24–29 | 45.28% |
| Jamblem7 vs Jun | 25–26 | 49.02% |
| Jamblem7 vs Nina | 26–23 | 53.06% |
| Jamblem7 vs Hwoarang | 16–32 | 33.33% |
| Jamblem7 vs Anna | 31–12 | 72.09% |
| Jamblem7 vs Yoshimitsu | 23–19 | 54.76% |
| Jamblem7 vs Lidia | 12–29 | 29.27% |
| Jamblem7 vs Alisa | 13–22 | 37.14% |
| Jamblem7 vs Leroy | 14–19 | 42.42% |
| Jamblem7 vs Lars | 16–15 | 51.61% |
| Jamblem7 vs Fahkumram | 14–17 | 45.16% |
| Jamblem7 vs Victor | 11–19 | 36.67% |
| Jamblem7 vs Jack-8 | 12–17 | 41.38% |
| Jamblem7 vs Xiaoyu | 11–13 | 45.83% |
| Jamblem7 vs Claudio | 10–14 | 41.67% |
| Jamblem7 vs Clive | 10–12 | 45.45% |
| Jamblem7 vs Leo | 6–15 | 28.57% |
| Jamblem7 vs Raven | 7–10 | 41.18% |
| Jamblem7 vs Shaheen | 8–8 | 50.00% |
| Jamblem7 vs Zafina | 4–9 | 30.77% |
| Jamblem7 vs Kuma | 3–5 | 37.50% |
| Jamblem7 vs Panda | 4–3 | 57.14% |
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.