| Blocs_sg vs Bryan | 99–86 | 53.51% |
| Blocs_sg vs King | 85–69 | 55.19% |
| Blocs_sg vs Steve | 45–60 | 42.86% |
| Blocs_sg vs Kazuya | 56–48 | 53.85% |
| Blocs_sg vs Hwoarang | 55–48 | 53.40% |
| Blocs_sg vs Fahkumram | 40–39 | 50.63% |
| Blocs_sg vs Law | 33–45 | 42.31% |
| Blocs_sg vs Armor King | 38–36 | 51.35% |
| Blocs_sg vs Dragunov | 33–37 | 47.14% |
| Blocs_sg vs Jin | 35–33 | 51.47% |
| Blocs_sg vs Heihachi | 30–30 | 50.00% |
| Blocs_sg vs Lee | 32–26 | 55.17% |
| Blocs_sg vs Lili | 27–29 | 48.21% |
| Blocs_sg vs Devil Jin | 18–35 | 33.96% |
| Blocs_sg vs Lars | 30–16 | 65.22% |
| Blocs_sg vs Jun | 20–25 | 44.44% |
| Blocs_sg vs Paul | 18–26 | 40.91% |
| Blocs_sg vs Yoshimitsu | 19–23 | 45.24% |
| Blocs_sg vs Asuka | 17–25 | 40.48% |
| Blocs_sg vs Reina | 18–22 | 45.00% |
| Blocs_sg vs Alisa | 14–21 | 40.00% |
| Blocs_sg vs Xiaoyu | 13–21 | 38.24% |
| Blocs_sg vs Feng | 17–16 | 51.52% |
| Blocs_sg vs Azucena | 17–15 | 53.12% |
| Blocs_sg vs Nina | 8–22 | 26.67% |
| Blocs_sg vs Raven | 12–16 | 42.86% |
| Blocs_sg vs Leroy | 16–11 | 59.26% |
| Blocs_sg vs Anna | 10–15 | 40.00% |
| Blocs_sg vs Victor | 8–16 | 33.33% |
| Blocs_sg vs Eddy | 9–15 | 37.50% |
| Blocs_sg vs Clive | 15–9 | 62.50% |
| Blocs_sg vs Shaheen | 12–9 | 57.14% |
| Blocs_sg vs Jack-8 | 9–11 | 45.00% |
| Blocs_sg vs Leo | 9–10 | 47.37% |
| Blocs_sg vs Lidia | 6–13 | 31.58% |
| Blocs_sg vs Miary Zo | 11–7 | 61.11% |
| Blocs_sg vs Claudio | 7–7 | 50.00% |
| Blocs_sg vs Kuma | 7–4 | 63.64% |
| Blocs_sg vs Panda | 0–2 | 0.00% |
| Blocs_sg vs Zafina | 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.