| janBam vs Bryan | 269–250–1 | 51.83% |
| janBam vs Dragunov | 256–228 | 52.89% |
| janBam vs Hwoarang | 277–201 | 57.95% |
| janBam vs Kazuya | 252–225 | 52.83% |
| janBam vs Heihachi | 201–201 | 50.00% |
| janBam vs Jin | 190–157 | 54.76% |
| janBam vs Reina | 185–149 | 55.39% |
| janBam vs King | 170–152 | 52.80% |
| janBam vs Paul | 185–131 | 58.54% |
| janBam vs Victor | 186–114 | 62.00% |
| janBam vs Steve | 124–169 | 42.32% |
| janBam vs Yoshimitsu | 153–133 | 53.50% |
| janBam vs Asuka | 154–125 | 55.20% |
| janBam vs Lars | 152–125 | 54.87% |
| janBam vs Lee | 132–136 | 49.25% |
| janBam vs Lili | 116–144 | 44.62% |
| janBam vs Clive | 130–125 | 50.98% |
| janBam vs Feng | 109–143 | 43.25% |
| janBam vs Jack-8 | 115–116 | 49.78% |
| janBam vs Devil Jin | 133–97 | 57.83% |
| janBam vs Azucena | 133–95 | 58.33% |
| janBam vs Law | 119–107 | 52.65% |
| janBam vs Leroy | 94–107 | 46.77% |
| janBam vs Jun | 108–92 | 54.00% |
| janBam vs Shaheen | 101–95 | 51.53% |
| janBam vs Alisa | 101–91 | 52.60% |
| janBam vs Claudio | 102–84–1 | 54.84% |
| janBam vs Lidia | 89–97–1 | 47.85% |
| janBam vs Nina | 87–96 | 47.54% |
| janBam vs Eddy | 88–87 | 50.29% |
| janBam vs Xiaoyu | 74–91 | 44.85% |
| janBam vs Leo | 87–70 | 55.41% |
| janBam vs Raven | 74–73 | 50.34% |
| janBam vs Kuma | 73–66 | 52.52% |
| janBam vs Zafina | 59–77 | 43.38% |
| janBam vs Armor King | 49–64 | 43.36% |
| janBam vs Fahkumram | 36–33 | 52.17% |
| janBam vs Panda | 36–25 | 59.02% |
| janBam vs Anna | 16–28 | 36.36% |
| janBam vs Miary Zo | 2–4 | 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.