| JomBlox vs Jin | 195–226 | 46.32% |
| JomBlox vs Kazuya | 172–223 | 43.54% |
| JomBlox vs Dragunov | 141–198 | 41.59% |
| JomBlox vs King | 154–169 | 47.68% |
| JomBlox vs Heihachi | 100–164 | 37.88% |
| JomBlox vs Bryan | 111–145 | 43.36% |
| JomBlox vs Lili | 103–132 | 43.83% |
| JomBlox vs Reina | 112–112 | 50.00% |
| JomBlox vs Law | 109–112 | 49.32% |
| JomBlox vs Steve | 117–98 | 54.42% |
| JomBlox vs Paul | 93–102 | 47.69% |
| JomBlox vs Clive | 64–87 | 42.38% |
| JomBlox vs Hwoarang | 61–87 | 41.22% |
| JomBlox vs Asuka | 74–73 | 50.34% |
| JomBlox vs Victor | 76–71 | 51.70% |
| JomBlox vs Yoshimitsu | 64–72 | 47.06% |
| JomBlox vs Lars | 62–67 | 48.06% |
| JomBlox vs Lee | 56–72 | 43.75% |
| JomBlox vs Jun | 59–69 | 46.09% |
| JomBlox vs Xiaoyu | 68–50 | 57.63% |
| JomBlox vs Devil Jin | 37–69 | 34.91% |
| JomBlox vs Azucena | 47–56 | 45.63% |
| JomBlox vs Claudio | 52–48 | 52.00% |
| JomBlox vs Lidia | 42–48 | 46.67% |
| JomBlox vs Alisa | 30–55 | 35.29% |
| JomBlox vs Armor King | 30–48 | 38.46% |
| JomBlox vs Leo | 34–43 | 44.16% |
| JomBlox vs Eddy | 31–43 | 41.89% |
| JomBlox vs Nina | 31–42 | 42.47% |
| JomBlox vs Jack-8 | 26–32 | 44.83% |
| JomBlox vs Feng | 29–29 | 50.00% |
| JomBlox vs Shaheen | 16–42 | 27.59% |
| JomBlox vs Kuma | 29–22 | 56.86% |
| JomBlox vs Leroy | 18–23 | 43.90% |
| JomBlox vs Fahkumram | 19–20 | 48.72% |
| JomBlox vs Raven | 16–20 | 44.44% |
| JomBlox vs Zafina | 13–20 | 39.39% |
| JomBlox vs Anna | 15–12 | 55.56% |
| JomBlox vs Panda | 10–14 | 41.67% |
| JomBlox vs Miary Zo | 1–2 | 33.33% |
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.