BBL | Oops vs Reina | 40–32 | 55.56% |
BBL | Oops vs Kazuya | 33–25 | 56.90% |
BBL | Oops vs King | 29–25 | 53.70% |
BBL | Oops vs Jin | 20–28 | 41.67% |
BBL | Oops vs Lidia | 10–38 | 20.83% |
BBL | Oops vs Steve | 27–14 | 65.85% |
BBL | Oops vs Dragunov | 16–22 | 42.11% |
BBL | Oops vs Lili | 18–18 | 50.00% |
BBL | Oops vs Victor | 11–23 | 32.35% |
BBL | Oops vs Yoshimitsu | 15–17 | 46.88% |
BBL | Oops vs Bryan | 17–15 | 53.12% |
BBL | Oops vs Azucena | 12–19 | 38.71% |
BBL | Oops vs Asuka | 14–16 | 46.67% |
BBL | Oops vs Eddy | 15–15 | 50.00% |
BBL | Oops vs Law | 17–12 | 58.62% |
BBL | Oops vs Jun | 12–14 | 46.15% |
BBL | Oops vs Lars | 12–11 | 52.17% |
BBL | Oops vs Leo | 10–10 | 50.00% |
BBL | Oops vs Paul | 9–8 | 52.94% |
BBL | Oops vs Hwoarang | 10–7 | 58.82% |
BBL | Oops vs Jack-8 | 6–10 | 37.50% |
BBL | Oops vs Lee | 3–13 | 18.75% |
BBL | Oops vs Xiaoyu | 9–6 | 60.00% |
BBL | Oops vs Nina | 5–9 | 35.71% |
BBL | Oops vs Claudio | 4–9 | 30.77% |
BBL | Oops vs Kuma | 4–7 | 36.36% |
BBL | Oops vs Alisa | 6–4 | 60.00% |
BBL | Oops vs Devil Jin | 4–4 | 50.00% |
BBL | Oops vs Raven | 6–2 | 75.00% |
BBL | Oops vs Feng | 2–4 | 33.33% |
BBL | Oops vs Panda | 2–4 | 33.33% |
BBL | Oops vs Heihachi | 3–3 | 50.00% |
BBL | Oops vs Zafina | 1–4 | 20.00% |
BBL | Oops vs Leroy | 2–3 | 40.00% |
BBL | Oops vs Shaheen | 0–2 | 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.