| Bik__ vs Jin | 24–31 | 43.64% |
| Bik__ vs King | 20–22 | 47.62% |
| Bik__ vs Dragunov | 12–28 | 30.00% |
| Bik__ vs Kazuya | 12–27 | 30.77% |
| Bik__ vs Steve | 17–21 | 44.74% |
| Bik__ vs Hwoarang | 14–16 | 46.67% |
| Bik__ vs Law | 8–21 | 27.59% |
| Bik__ vs Bryan | 11–13 | 45.83% |
| Bik__ vs Armor King | 5–17 | 22.73% |
| Bik__ vs Yoshimitsu | 10–11 | 47.62% |
| Bik__ vs Clive | 6–15 | 28.57% |
| Bik__ vs Lili | 9–11 | 45.00% |
| Bik__ vs Azucena | 10–10 | 50.00% |
| Bik__ vs Heihachi | 7–12 | 36.84% |
| Bik__ vs Reina | 9–7 | 56.25% |
| Bik__ vs Eddy | 8–8 | 50.00% |
| Bik__ vs Lars | 3–11 | 21.43% |
| Bik__ vs Fahkumram | 6–8 | 42.86% |
| Bik__ vs Nina | 5–8 | 38.46% |
| Bik__ vs Lee | 4–8 | 33.33% |
| Bik__ vs Miary Zo | 2–10 | 16.67% |
| Bik__ vs Shaheen | 1–9 | 10.00% |
| Bik__ vs Devil Jin | 7–2 | 77.78% |
| Bik__ vs Kuma | 1–7 | 12.50% |
| Bik__ vs Jun | 3–5 | 37.50% |
| Bik__ vs Lidia | 3–5 | 37.50% |
| Bik__ vs Xiaoyu | 1–6 | 14.29% |
| Bik__ vs Alisa | 3–4 | 42.86% |
| Bik__ vs Claudio | 1–6 | 14.29% |
| Bik__ vs Jack-8 | 4–2 | 66.67% |
| Bik__ vs Asuka | 0–6 | 0.00% |
| Bik__ vs Leo | 2–3 | 40.00% |
| Bik__ vs Zafina | 4–1 | 80.00% |
| Bik__ vs Paul | 0–4 | 0.00% |
| Bik__ vs Feng | 4–0 | 100.00% |
| Bik__ vs Anna | 0–3 | 0.00% |
| Bik__ vs Victor | 2–0 | 100.00% |
| Bik__ vs Raven | 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.