| HFL|BBSD vs Steve | 59–35 | 62.77% |
| HFL|BBSD vs King | 35–56 | 38.46% |
| HFL|BBSD vs Kazuya | 39–42 | 48.15% |
| HFL|BBSD vs Reina | 45–35 | 56.25% |
| HFL|BBSD vs Fahkumram | 38–41 | 48.10% |
| HFL|BBSD vs Hwoarang | 35–34 | 50.72% |
| HFL|BBSD vs Bryan | 28–38 | 42.42% |
| HFL|BBSD vs Law | 22–41 | 34.92% |
| HFL|BBSD vs Jin | 34–29 | 53.97% |
| HFL|BBSD vs Eddy | 28–32 | 46.67% |
| HFL|BBSD vs Dragunov | 24–35 | 40.68% |
| HFL|BBSD vs Yoshimitsu | 30–14 | 68.18% |
| HFL|BBSD vs Xiaoyu | 30–11 | 73.17% |
| HFL|BBSD vs Lars | 24–17 | 58.54% |
| HFL|BBSD vs Armor King | 22–19 | 53.66% |
| HFL|BBSD vs Jun | 19–20 | 48.72% |
| HFL|BBSD vs Paul | 16–22 | 42.11% |
| HFL|BBSD vs Asuka | 23–14 | 62.16% |
| HFL|BBSD vs Lili | 17–17 | 50.00% |
| HFL|BBSD vs Lidia | 15–19 | 44.12% |
| HFL|BBSD vs Heihachi | 17–17 | 50.00% |
| HFL|BBSD vs Lee | 22–11 | 66.67% |
| HFL|BBSD vs Azucena | 14–19 | 42.42% |
| HFL|BBSD vs Feng | 12–19 | 38.71% |
| HFL|BBSD vs Victor | 18–10 | 64.29% |
| HFL|BBSD vs Jack-8 | 16–10 | 61.54% |
| HFL|BBSD vs Alisa | 9–16 | 36.00% |
| HFL|BBSD vs Kuma | 13–12 | 52.00% |
| HFL|BBSD vs Clive | 12–13 | 48.00% |
| HFL|BBSD vs Leroy | 17–6 | 73.91% |
| HFL|BBSD vs Nina | 13–8 | 61.90% |
| HFL|BBSD vs Anna | 9–11 | 45.00% |
| HFL|BBSD vs Leo | 11–8 | 57.89% |
| HFL|BBSD vs Claudio | 6–11 | 35.29% |
| HFL|BBSD vs Devil Jin | 7–7 | 50.00% |
| HFL|BBSD vs Miary Zo | 4–9 | 30.77% |
| HFL|BBSD vs Raven | 8–2 | 80.00% |
| HFL|BBSD vs Zafina | 3–4 | 42.86% |
| HFL|BBSD vs Shaheen | 5–0 | 100.00% |
| HFL|BBSD vs Panda | 0–1 | 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.