| CalvoBlanco vs King | 12–19 | 38.71% |
| CalvoBlanco vs Reina | 10–21 | 32.26% |
| CalvoBlanco vs Kazuya | 9–12 | 42.86% |
| CalvoBlanco vs Steve | 6–12 | 33.33% |
| CalvoBlanco vs Eddy | 7–11 | 38.89% |
| CalvoBlanco vs Asuka | 8–7 | 53.33% |
| CalvoBlanco vs Paul | 6–8 | 42.86% |
| CalvoBlanco vs Jin | 6–7 | 46.15% |
| CalvoBlanco vs Dragunov | 5–7 | 41.67% |
| CalvoBlanco vs Lars | 7–4 | 63.64% |
| CalvoBlanco vs Lee | 4–7 | 36.36% |
| CalvoBlanco vs Azucena | 4–6 | 40.00% |
| CalvoBlanco vs Victor | 2–8 | 20.00% |
| CalvoBlanco vs Law | 4–5 | 44.44% |
| CalvoBlanco vs Bryan | 7–2 | 77.78% |
| CalvoBlanco vs Devil Jin | 4–3 | 57.14% |
| CalvoBlanco vs Shaheen | 5–2 | 71.43% |
| CalvoBlanco vs Feng | 4–2 | 66.67% |
| CalvoBlanco vs Jun | 5–1 | 83.33% |
| CalvoBlanco vs Heihachi | 4–2 | 66.67% |
| CalvoBlanco vs Yoshimitsu | 2–3 | 40.00% |
| CalvoBlanco vs Jack-8 | 2–3 | 40.00% |
| CalvoBlanco vs Claudio | 1–4 | 20.00% |
| CalvoBlanco vs Hwoarang | 2–2 | 50.00% |
| CalvoBlanco vs Kuma | 1–3 | 25.00% |
| CalvoBlanco vs Leroy | 1–3 | 25.00% |
| CalvoBlanco vs Raven | 1–3 | 25.00% |
| CalvoBlanco vs Lili | 0–3 | 0.00% |
| CalvoBlanco vs Leo | 1–2 | 33.33% |
| CalvoBlanco vs Lidia | 3–0 | 100.00% |
| CalvoBlanco vs Xiaoyu | 0–2 | 0.00% |
| CalvoBlanco vs Nina | 2–0 | 100.00% |
| CalvoBlanco vs Clive | 1–0 | 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.