| BLOKE vs Armor King | 17–20 | 45.95% |
| BLOKE vs Kazuya | 18–15 | 54.55% |
| BLOKE vs Reina | 23–10 | 69.70% |
| BLOKE vs Jun | 16–14 | 53.33% |
| BLOKE vs Jin | 16–13 | 55.17% |
| BLOKE vs Lili | 17–11 | 60.71% |
| BLOKE vs Hwoarang | 14–12 | 53.85% |
| BLOKE vs King | 11–14 | 44.00% |
| BLOKE vs Bryan | 16–6 | 72.73% |
| BLOKE vs Victor | 14–8 | 63.64% |
| BLOKE vs Asuka | 8–13 | 38.10% |
| BLOKE vs Dragunov | 12–9 | 57.14% |
| BLOKE vs Yoshimitsu | 8–11 | 42.11% |
| BLOKE vs Heihachi | 12–7 | 63.16% |
| BLOKE vs Paul | 9–7 | 56.25% |
| BLOKE vs Steve | 11–4 | 73.33% |
| BLOKE vs Devil Jin | 7–8 | 46.67% |
| BLOKE vs Azucena | 9–5 | 64.29% |
| BLOKE vs Law | 6–7 | 46.15% |
| BLOKE vs Jack-8 | 7–5 | 58.33% |
| BLOKE vs Lars | 2–8 | 20.00% |
| BLOKE vs Alisa | 5–5 | 50.00% |
| BLOKE vs Xiaoyu | 5–3 | 62.50% |
| BLOKE vs Lidia | 7–1 | 87.50% |
| BLOKE vs Feng | 3–4 | 42.86% |
| BLOKE vs Lee | 3–4 | 42.86% |
| BLOKE vs Kuma | 4–3 | 57.14% |
| BLOKE vs Leroy | 2–5 | 28.57% |
| BLOKE vs Eddy | 4–3 | 57.14% |
| BLOKE vs Nina | 4–2 | 66.67% |
| BLOKE vs Fahkumram | 4–2 | 66.67% |
| BLOKE vs Clive | 3–2 | 60.00% |
| BLOKE vs Leo | 4–0 | 100.00% |
| BLOKE vs Panda | 2–2 | 50.00% |
| BLOKE vs Raven | 2–2 | 50.00% |
| BLOKE vs Claudio | 2–0 | 100.00% |
| BLOKE vs Anna | 2–0 | 100.00% |
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.