| janBam vs Bryan | 296–281–1 | 51.30% |
| janBam vs Kazuya | 280–250 | 52.83% |
| janBam vs Hwoarang | 302–218 | 58.08% |
| janBam vs Dragunov | 274–237 | 53.62% |
| janBam vs Heihachi | 208–206 | 50.24% |
| janBam vs Jin | 213–182 | 53.92% |
| janBam vs Reina | 196–152 | 56.32% |
| janBam vs King | 174–160 | 52.10% |
| janBam vs Paul | 195–136 | 58.91% |
| janBam vs Steve | 135–187 | 41.93% |
| janBam vs Victor | 196–119 | 62.22% |
| janBam vs Lars | 160–141 | 53.16% |
| janBam vs Asuka | 165–133 | 55.37% |
| janBam vs Yoshimitsu | 154–136 | 53.10% |
| janBam vs Lee | 146–141 | 50.87% |
| janBam vs Feng | 117–153 | 43.33% |
| janBam vs Lili | 118–147 | 44.53% |
| janBam vs Clive | 137–128 | 51.70% |
| janBam vs Devil Jin | 144–111 | 56.47% |
| janBam vs Jack-8 | 130–124 | 51.18% |
| janBam vs Law | 125–110 | 53.19% |
| janBam vs Azucena | 138–96 | 58.97% |
| janBam vs Claudio | 117–94–1 | 55.45% |
| janBam vs Leroy | 98–113 | 46.45% |
| janBam vs Jun | 113–97 | 53.81% |
| janBam vs Shaheen | 109–99 | 52.40% |
| janBam vs Lidia | 96–102–1 | 48.48% |
| janBam vs Nina | 94–101 | 48.21% |
| janBam vs Alisa | 103–91 | 53.09% |
| janBam vs Eddy | 90–88 | 50.56% |
| janBam vs Xiaoyu | 76–92 | 45.24% |
| janBam vs Leo | 89–76 | 53.94% |
| janBam vs Raven | 78–77 | 50.32% |
| janBam vs Kuma | 80–68 | 54.05% |
| janBam vs Zafina | 60–81 | 42.55% |
| janBam vs Armor King | 63–73 | 46.32% |
| janBam vs Fahkumram | 53–50 | 51.46% |
| janBam vs Anna | 26–44 | 37.14% |
| janBam vs Panda | 39–28 | 58.21% |
| janBam vs Miary Zo | 14–11 | 56.00% |
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.