| Berquest vs Armor King | 64–62 | 50.79% |
| Berquest vs Jin | 34–60 | 36.17% |
| Berquest vs Kazuya | 43–45 | 48.86% |
| Berquest vs Law | 41–37 | 52.56% |
| Berquest vs King | 40–38 | 51.28% |
| Berquest vs Steve | 43–29 | 59.72% |
| Berquest vs Hwoarang | 23–38 | 37.70% |
| Berquest vs Lili | 30–28 | 51.72% |
| Berquest vs Azucena | 25–29 | 46.30% |
| Berquest vs Reina | 24–25 | 48.98% |
| Berquest vs Heihachi | 11–34 | 24.44% |
| Berquest vs Bryan | 20–24 | 45.45% |
| Berquest vs Yoshimitsu | 20–21 | 48.78% |
| Berquest vs Jun | 18–23 | 43.90% |
| Berquest vs Lee | 18–18 | 50.00% |
| Berquest vs Asuka | 14–21 | 40.00% |
| Berquest vs Paul | 16–17 | 48.48% |
| Berquest vs Lars | 15–17 | 46.88% |
| Berquest vs Eddy | 13–19 | 40.62% |
| Berquest vs Miary Zo | 17–15 | 53.12% |
| Berquest vs Dragunov | 13–16 | 44.83% |
| Berquest vs Devil Jin | 12–16 | 42.86% |
| Berquest vs Fahkumram | 13–15 | 46.43% |
| Berquest vs Anna | 13–9 | 59.09% |
| Berquest vs Xiaoyu | 9–11 | 45.00% |
| Berquest vs Jack-8 | 14–6 | 70.00% |
| Berquest vs Nina | 12–8 | 60.00% |
| Berquest vs Victor | 5–15 | 25.00% |
| Berquest vs Alisa | 8–11 | 42.11% |
| Berquest vs Clive | 7–11 | 38.89% |
| Berquest vs Lidia | 9–8 | 52.94% |
| Berquest vs Claudio | 6–9 | 40.00% |
| Berquest vs Leo | 9–5 | 64.29% |
| Berquest vs Raven | 5–7 | 41.67% |
| Berquest vs Feng | 2–7 | 22.22% |
| Berquest vs Zafina | 5–3 | 62.50% |
| Berquest vs Leroy | 0–5 | 0.00% |
| Berquest vs Shaheen | 1–3 | 25.00% |
| Berquest vs Kuma | 1–3 | 25.00% |
| Berquest vs Panda | 2–1 | 66.67% |
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.