| Bll-cls vs Kazuya | 156–164 | 48.75% |
| Bll-cls vs Hwoarang | 96–90 | 51.61% |
| Bll-cls vs Reina | 92–81 | 53.18% |
| Bll-cls vs Bryan | 71–92 | 43.56% |
| Bll-cls vs Jin | 86–71 | 54.78% |
| Bll-cls vs King | 68–85 | 44.44% |
| Bll-cls vs Heihachi | 73–73 | 50.00% |
| Bll-cls vs Paul | 63–70 | 47.37% |
| Bll-cls vs Lili | 65–64–2 | 50.39% |
| Bll-cls vs Steve | 70–57 | 55.12% |
| Bll-cls vs Law | 57–67 | 45.97% |
| Bll-cls vs Yoshimitsu | 65–57 | 53.28% |
| Bll-cls vs Dragunov | 51–68 | 42.86% |
| Bll-cls vs Armor King | 60–57 | 51.28% |
| Bll-cls vs Fahkumram | 55–43 | 56.12% |
| Bll-cls vs Devil Jin | 55–39 | 58.51% |
| Bll-cls vs Lee | 44–49 | 47.31% |
| Bll-cls vs Jun | 35–41 | 46.05% |
| Bll-cls vs Asuka | 27–43 | 38.57% |
| Bll-cls vs Lars | 32–38 | 45.71% |
| Bll-cls vs Azucena | 41–29 | 58.57% |
| Bll-cls vs Eddy | 36–32 | 52.94% |
| Bll-cls vs Anna | 28–39 | 41.79% |
| Bll-cls vs Lidia | 40–24 | 62.50% |
| Bll-cls vs Victor | 40–18 | 68.97% |
| Bll-cls vs Clive | 35–21 | 62.50% |
| Bll-cls vs Xiaoyu | 18–35 | 33.96% |
| Bll-cls vs Nina | 16–36 | 30.77% |
| Bll-cls vs Feng | 20–30 | 40.00% |
| Bll-cls vs Alisa | 24–24 | 50.00% |
| Bll-cls vs Leroy | 13–26 | 33.33% |
| Bll-cls vs Leo | 13–24 | 35.14% |
| Bll-cls vs Jack-8 | 14–22 | 38.89% |
| Bll-cls vs Raven | 14–17 | 45.16% |
| Bll-cls vs Miary Zo | 11–20 | 35.48% |
| Bll-cls vs Claudio | 11–15 | 42.31% |
| Bll-cls vs Shaheen | 14–10 | 58.33% |
| Bll-cls vs Panda | 7–8 | 46.67% |
| Bll-cls vs Kuma | 8–4 | 66.67% |
| Bll-cls vs Zafina | 1–10 | 9.09% |
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.