| ResearchBear vs Kazuya | 38–42–1 | 47.50% |
| ResearchBear vs Jin | 41–39 | 51.25% |
| ResearchBear vs Steve | 42–34 | 55.26% |
| ResearchBear vs King | 40–29 | 57.97% |
| ResearchBear vs Reina | 29–40 | 42.03% |
| ResearchBear vs Clive | 33–26 | 55.93% |
| ResearchBear vs Bryan | 25–33 | 43.10% |
| ResearchBear vs Law | 23–31 | 42.59% |
| ResearchBear vs Jun | 26–21 | 55.32% |
| ResearchBear vs Hwoarang | 18–28 | 39.13% |
| ResearchBear vs Xiaoyu | 26–20 | 56.52% |
| ResearchBear vs Dragunov | 22–21 | 51.16% |
| ResearchBear vs Yoshimitsu | 16–23 | 41.03% |
| ResearchBear vs Leo | 15–22 | 40.54% |
| ResearchBear vs Lars | 12–25 | 32.43% |
| ResearchBear vs Heihachi | 14–20 | 41.18% |
| ResearchBear vs Lili | 12–20 | 37.50% |
| ResearchBear vs Eddy | 15–17 | 46.88% |
| ResearchBear vs Azucena | 21–7 | 75.00% |
| ResearchBear vs Paul | 15–12 | 55.56% |
| ResearchBear vs Victor | 12–15 | 44.44% |
| ResearchBear vs Lidia | 11–13 | 45.83% |
| ResearchBear vs Feng | 9–10 | 47.37% |
| ResearchBear vs Asuka | 9–9 | 50.00% |
| ResearchBear vs Lee | 11–7 | 61.11% |
| ResearchBear vs Leroy | 9–9 | 50.00% |
| ResearchBear vs Raven | 10–8 | 55.56% |
| ResearchBear vs Nina | 11–6 | 64.71% |
| ResearchBear vs Fahkumram | 6–8 | 42.86% |
| ResearchBear vs Jack-8 | 10–3 | 76.92% |
| ResearchBear vs Devil Jin | 7–6 | 53.85% |
| ResearchBear vs Shaheen | 7–5 | 58.33% |
| ResearchBear vs Armor King | 3–9 | 25.00% |
| ResearchBear vs Alisa | 3–5 | 37.50% |
| ResearchBear vs Zafina | 2–6 | 25.00% |
| ResearchBear vs Claudio | 3–4 | 42.86% |
| ResearchBear vs Anna | 2–5 | 28.57% |
| ResearchBear vs Kuma | 0–3 | 0.00% |
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.