| Un Ciervo vs Bryan | 21–11 | 65.62% |
| Un Ciervo vs Devil Jin | 17–14 | 54.84% |
| Un Ciervo vs Jin | 18–11 | 62.07% |
| Un Ciervo vs King | 12–15 | 44.44% |
| Un Ciervo vs Law | 17–9 | 65.38% |
| Un Ciervo vs Lili | 12–13 | 48.00% |
| Un Ciervo vs Kazuya | 14–10 | 58.33% |
| Un Ciervo vs Reina | 13–11 | 54.17% |
| Un Ciervo vs Dragunov | 12–11 | 52.17% |
| Un Ciervo vs Yoshimitsu | 13–8 | 61.90% |
| Un Ciervo vs Lee | 13–7 | 65.00% |
| Un Ciervo vs Paul | 16–3 | 84.21% |
| Un Ciervo vs Xiaoyu | 9–9 | 50.00% |
| Un Ciervo vs Hwoarang | 12–5 | 70.59% |
| Un Ciervo vs Asuka | 14–3 | 82.35% |
| Un Ciervo vs Steve | 11–4 | 73.33% |
| Un Ciervo vs Lidia | 5–10 | 33.33% |
| Un Ciervo vs Feng | 2–12 | 14.29% |
| Un Ciervo vs Jun | 7–7 | 50.00% |
| Un Ciervo vs Lars | 8–5 | 61.54% |
| Un Ciervo vs Alisa | 3–10 | 23.08% |
| Un Ciervo vs Jack-8 | 9–3 | 75.00% |
| Un Ciervo vs Leroy | 7–5 | 58.33% |
| Un Ciervo vs Azucena | 9–3 | 75.00% |
| Un Ciervo vs Nina | 6–3 | 66.67% |
| Un Ciervo vs Leo | 4–4 | 50.00% |
| Un Ciervo vs Shaheen | 5–3 | 62.50% |
| Un Ciervo vs Raven | 5–3 | 62.50% |
| Un Ciervo vs Eddy | 5–1 | 83.33% |
| Un Ciervo vs Kuma | 4–1 | 80.00% |
| Un Ciervo vs Zafina | 4–1 | 80.00% |
| Un Ciervo vs Heihachi | 4–0 | 100.00% |
| Un Ciervo vs Claudio | 0–2 | 0.00% |
| Un Ciervo vs Panda | 2–0 | 100.00% |
| Un Ciervo vs Victor | 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.