| bedlam vs Kazuya | 192–238 | 44.65% |
| bedlam vs Jin | 129–200 | 39.21% |
| bedlam vs Bryan | 138–188 | 42.33% |
| bedlam vs Heihachi | 119–151 | 44.07% |
| bedlam vs King | 118–150 | 44.03% |
| bedlam vs Dragunov | 89–127 | 41.20% |
| bedlam vs Steve | 90–99 | 47.62% |
| bedlam vs Devil Jin | 76–103 | 42.46% |
| bedlam vs Law | 64–95 | 40.25% |
| bedlam vs Reina | 73–86 | 45.91% |
| bedlam vs Hwoarang | 71–85 | 45.51% |
| bedlam vs Yoshimitsu | 68–84 | 44.74% |
| bedlam vs Clive | 72–72 | 50.00% |
| bedlam vs Paul | 76–67 | 53.15% |
| bedlam vs Lee | 51–53 | 49.04% |
| bedlam vs Asuka | 41–57 | 41.84% |
| bedlam vs Lili | 38–57 | 40.00% |
| bedlam vs Victor | 38–46 | 45.24% |
| bedlam vs Azucena | 35–48 | 42.17% |
| bedlam vs Jun | 33–48 | 40.74% |
| bedlam vs Lars | 47–29 | 61.84% |
| bedlam vs Nina | 28–46 | 37.84% |
| bedlam vs Claudio | 36–36 | 50.00% |
| bedlam vs Fahkumram | 28–40 | 41.18% |
| bedlam vs Feng | 16–51 | 23.88% |
| bedlam vs Alisa | 28–37 | 43.08% |
| bedlam vs Lidia | 32–32 | 50.00% |
| bedlam vs Leo | 20–33 | 37.74% |
| bedlam vs Eddy | 27–22 | 55.10% |
| bedlam vs Jack-8 | 23–24 | 48.94% |
| bedlam vs Armor King | 18–27 | 40.00% |
| bedlam vs Shaheen | 21–21–1 | 50.00% |
| bedlam vs Leroy | 18–18 | 50.00% |
| bedlam vs Anna | 23–13 | 63.89% |
| bedlam vs Xiaoyu | 14–21 | 40.00% |
| bedlam vs Kuma | 12–9 | 57.14% |
| bedlam vs Raven | 9–11 | 45.00% |
| bedlam vs Zafina | 8–7 | 53.33% |
| bedlam vs Miary Zo | 5–8 | 38.46% |
| bedlam vs Panda | 3–6 | 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.