| .bearmon vs Jin | 248–236 | 51.24% |
| .bearmon vs Kazuya | 229–229 | 50.00% |
| .bearmon vs Bryan | 247–173 | 58.81% |
| .bearmon vs Hwoarang | 179–220 | 44.86% |
| .bearmon vs Dragunov | 197–188 | 51.17% |
| .bearmon vs King | 207–177 | 53.91% |
| .bearmon vs Reina | 187–173 | 51.94% |
| .bearmon vs Yoshimitsu | 165–187 | 46.88% |
| .bearmon vs Law | 167–175 | 48.83% |
| .bearmon vs Steve | 163–168–1 | 49.24% |
| .bearmon vs Lili | 151–137 | 52.43% |
| .bearmon vs Paul | 131–147 | 47.12% |
| .bearmon vs Devil Jin | 140–130 | 51.85% |
| .bearmon vs Lars | 137–130–2 | 51.31% |
| .bearmon vs Heihachi | 133–135 | 49.63% |
| .bearmon vs Leo | 121–106 | 53.30% |
| .bearmon vs Lee | 103–120 | 46.19% |
| .bearmon vs Jun | 119–104 | 53.36% |
| .bearmon vs Feng | 122–99 | 55.20% |
| .bearmon vs Asuka | 98–113 | 46.45% |
| .bearmon vs Raven | 107–102 | 51.20% |
| .bearmon vs Xiaoyu | 107–97 | 52.45% |
| .bearmon vs Victor | 92–110 | 45.54% |
| .bearmon vs Nina | 104–95 | 52.26% |
| .bearmon vs Azucena | 101–86 | 54.01% |
| .bearmon vs Eddy | 92–93 | 49.73% |
| .bearmon vs Lidia | 68–89 | 43.31% |
| .bearmon vs Claudio | 61–90 | 40.40% |
| .bearmon vs Jack-8 | 75–75 | 50.00% |
| .bearmon vs Leroy | 66–79 | 45.52% |
| .bearmon vs Zafina | 76–60 | 55.88% |
| .bearmon vs Alisa | 62–70 | 46.97% |
| .bearmon vs Shaheen | 57–47 | 54.81% |
| .bearmon vs Kuma | 43–42 | 50.59% |
| .bearmon vs Clive | 48–34 | 58.54% |
| .bearmon vs Fahkumram | 34–37 | 47.89% |
| .bearmon vs Anna | 28–29 | 49.12% |
| .bearmon vs Armor King | 20–21 | 48.78% |
| .bearmon vs Panda | 15–21 | 41.67% |
| .bearmon vs Miary Zo | 4–2 | 66.67% |
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.