| Chupa vs Kazuya | 33–27 | 55.00% |
| Chupa vs Hwoarang | 20–26 | 43.48% |
| Chupa vs Jin | 26–19 | 57.78% |
| Chupa vs King | 21–22 | 48.84% |
| Chupa vs Steve | 25–17 | 59.52% |
| Chupa vs Bryan | 23–13 | 63.89% |
| Chupa vs Lili | 19–15 | 55.88% |
| Chupa vs Yoshimitsu | 18–14 | 56.25% |
| Chupa vs Paul | 12–15 | 44.44% |
| Chupa vs Dragunov | 9–16 | 36.00% |
| Chupa vs Alisa | 10–14 | 41.67% |
| Chupa vs Law | 10–13 | 43.48% |
| Chupa vs Lars | 10–12 | 45.45% |
| Chupa vs Eddy | 15–7 | 68.18% |
| Chupa vs Reina | 11–10 | 52.38% |
| Chupa vs Devil Jin | 11–9 | 55.00% |
| Chupa vs Azucena | 13–7 | 65.00% |
| Chupa vs Jun | 12–7 | 63.16% |
| Chupa vs Asuka | 8–10 | 44.44% |
| Chupa vs Lee | 14–4 | 77.78% |
| Chupa vs Heihachi | 8–8 | 50.00% |
| Chupa vs Anna | 9–7 | 56.25% |
| Chupa vs Jack-8 | 6–6 | 50.00% |
| Chupa vs Lidia | 6–6 | 50.00% |
| Chupa vs Feng | 6–5 | 54.55% |
| Chupa vs Leroy | 5–6 | 45.45% |
| Chupa vs Victor | 5–6 | 45.45% |
| Chupa vs Shaheen | 5–5 | 50.00% |
| Chupa vs Raven | 7–3 | 70.00% |
| Chupa vs Zafina | 3–6 | 33.33% |
| Chupa vs Xiaoyu | 3–3 | 50.00% |
| Chupa vs Nina | 3–3 | 50.00% |
| Chupa vs Clive | 4–1 | 80.00% |
| Chupa vs Panda | 2–2 | 50.00% |
| Chupa vs Leo | 2–1 | 66.67% |
| Chupa vs Fahkumram | 1–2 | 33.33% |
| Chupa vs Kuma | 0–2 | 0.00% |
| Chupa vs Claudio | 0–1 | 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.