| BLODYA vs Reina | 34–29 | 53.97% |
| BLODYA vs Kazuya | 28–29 | 49.12% |
| BLODYA vs King | 28–24 | 53.85% |
| BLODYA vs Heihachi | 20–25 | 44.44% |
| BLODYA vs Jin | 23–16 | 58.97% |
| BLODYA vs Steve | 24–15 | 61.54% |
| BLODYA vs Asuka | 20–18 | 52.63% |
| BLODYA vs Lee | 20–16 | 55.56% |
| BLODYA vs Law | 17–18 | 48.57% |
| BLODYA vs Clive | 18–16 | 52.94% |
| BLODYA vs Bryan | 16–17 | 48.48% |
| BLODYA vs Hwoarang | 14–12 | 53.85% |
| BLODYA vs Xiaoyu | 12–12 | 50.00% |
| BLODYA vs Dragunov | 11–12 | 47.83% |
| BLODYA vs Lili | 8–14 | 36.36% |
| BLODYA vs Yoshimitsu | 7–13 | 35.00% |
| BLODYA vs Eddy | 6–14 | 30.00% |
| BLODYA vs Leo | 7–9 | 43.75% |
| BLODYA vs Nina | 9–7 | 56.25% |
| BLODYA vs Jun | 4–10 | 28.57% |
| BLODYA vs Devil Jin | 10–3 | 76.92% |
| BLODYA vs Leroy | 9–4 | 69.23% |
| BLODYA vs Lars | 4–8 | 33.33% |
| BLODYA vs Kuma | 3–9 | 25.00% |
| BLODYA vs Victor | 8–4 | 66.67% |
| BLODYA vs Paul | 4–7 | 36.36% |
| BLODYA vs Azucena | 5–6 | 45.45% |
| BLODYA vs Feng | 5–5 | 50.00% |
| BLODYA vs Alisa | 5–4 | 55.56% |
| BLODYA vs Jack-8 | 0–7 | 0.00% |
| BLODYA vs Lidia | 2–5 | 28.57% |
| BLODYA vs Zafina | 3–3 | 50.00% |
| BLODYA vs Raven | 2–3 | 40.00% |
| BLODYA vs Claudio | 2–1 | 66.67% |
| BLODYA vs Panda | 1–2 | 33.33% |
| BLODYA vs Anna | 0–2 | 0.00% |
| BLODYA vs Fahkumram | 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.