| Bearagain_ vs King | 41–24 | 63.08% |
| Bearagain_ vs Jin | 32–28 | 53.33% |
| Bearagain_ vs Kazuya | 26–24 | 52.00% |
| Bearagain_ vs Bryan | 16–28 | 36.36% |
| Bearagain_ vs Hwoarang | 31–12 | 72.09% |
| Bearagain_ vs Reina | 22–20 | 52.38% |
| Bearagain_ vs Dragunov | 20–16 | 55.56% |
| Bearagain_ vs Lili | 25–8 | 75.76% |
| Bearagain_ vs Fahkumram | 13–20 | 39.39% |
| Bearagain_ vs Law | 18–13 | 58.06% |
| Bearagain_ vs Steve | 15–15 | 50.00% |
| Bearagain_ vs Azucena | 15–14 | 51.72% |
| Bearagain_ vs Paul | 15–12 | 55.56% |
| Bearagain_ vs Devil Jin | 10–17 | 37.04% |
| Bearagain_ vs Asuka | 11–15 | 42.31% |
| Bearagain_ vs Eddy | 10–15 | 40.00% |
| Bearagain_ vs Lars | 13–10 | 56.52% |
| Bearagain_ vs Raven | 13–10 | 56.52% |
| Bearagain_ vs Lee | 11–11 | 50.00% |
| Bearagain_ vs Yoshimitsu | 4–17 | 19.05% |
| Bearagain_ vs Heihachi | 10–11 | 47.62% |
| Bearagain_ vs Jun | 13–7 | 65.00% |
| Bearagain_ vs Xiaoyu | 8–10 | 44.44% |
| Bearagain_ vs Nina | 7–10 | 41.18% |
| Bearagain_ vs Zafina | 3–10 | 23.08% |
| Bearagain_ vs Feng | 7–5 | 58.33% |
| Bearagain_ vs Leo | 2–10 | 16.67% |
| Bearagain_ vs Victor | 5–7 | 41.67% |
| Bearagain_ vs Claudio | 7–4 | 63.64% |
| Bearagain_ vs Leroy | 8–3 | 72.73% |
| Bearagain_ vs Anna | 7–4 | 63.64% |
| Bearagain_ vs Alisa | 2–6 | 25.00% |
| Bearagain_ vs Kuma | 3–4 | 42.86% |
| Bearagain_ vs Lidia | 1–4 | 20.00% |
| Bearagain_ vs Jack-8 | 1–3 | 25.00% |
| Bearagain_ vs Shaheen | 1–2 | 33.33% |
| Bearagain_ vs Panda | 2–0 | 100.00% |
| Bearagain_ vs Clive | 1–0 | 100.00% |
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.