| BkForest vs Kazuya | 116–87 | 57.14% |
| BkForest vs Jin | 90–78 | 53.57% |
| BkForest vs King | 58–91 | 38.93% |
| BkForest vs Reina | 70–59 | 54.26% |
| BkForest vs Dragunov | 50–56 | 47.17% |
| BkForest vs Law | 43–62 | 40.95% |
| BkForest vs Steve | 46–55 | 45.54% |
| BkForest vs Bryan | 43–57 | 43.00% |
| BkForest vs Hwoarang | 38–59 | 39.18% |
| BkForest vs Heihachi | 38–47 | 44.71% |
| BkForest vs Eddy | 30–43 | 41.10% |
| BkForest vs Yoshimitsu | 27–38 | 41.54% |
| BkForest vs Asuka | 25–40 | 38.46% |
| BkForest vs Paul | 22–41 | 34.92% |
| BkForest vs Alisa | 21–39 | 35.00% |
| BkForest vs Armor King | 22–34 | 39.29% |
| BkForest vs Lili | 18–35 | 33.96% |
| BkForest vs Azucena | 19–34 | 35.85% |
| BkForest vs Lee | 20–26 | 43.48% |
| BkForest vs Victor | 19–25 | 43.18% |
| BkForest vs Nina | 16–25 | 39.02% |
| BkForest vs Lars | 11–29 | 27.50% |
| BkForest vs Clive | 19–21 | 47.50% |
| BkForest vs Jun | 19–20 | 48.72% |
| BkForest vs Jack-8 | 15–22 | 40.54% |
| BkForest vs Lidia | 13–14 | 48.15% |
| BkForest vs Claudio | 12–14 | 46.15% |
| BkForest vs Xiaoyu | 6–19 | 24.00% |
| BkForest vs Devil Jin | 6–18 | 25.00% |
| BkForest vs Feng | 12–11 | 52.17% |
| BkForest vs Kuma | 4–14 | 22.22% |
| BkForest vs Fahkumram | 5–13 | 27.78% |
| BkForest vs Leroy | 7–9 | 43.75% |
| BkForest vs Leo | 4–10 | 28.57% |
| BkForest vs Shaheen | 3–11 | 21.43% |
| BkForest vs Zafina | 4–9 | 30.77% |
| BkForest vs Raven | 5–7 | 41.67% |
| BkForest vs Anna | 5–6 | 45.45% |
| BkForest vs Miary Zo | 0–7 | 0.00% |
| BkForest vs Panda | 2–3 | 40.00% |
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.