| Calûnga vs King | 64–106–1 | 37.65% |
| Calûnga vs Kazuya | 64–76 | 45.71% |
| Calûnga vs Bryan | 64–71 | 47.41% |
| Calûnga vs Jin | 65–64 | 50.39% |
| Calûnga vs Steve | 53–54 | 49.53% |
| Calûnga vs Hwoarang | 43–63 | 40.57% |
| Calûnga vs Reina | 49–56 | 46.67% |
| Calûnga vs Law | 46–45 | 50.55% |
| Calûnga vs Xiaoyu | 46–39 | 54.12% |
| Calûnga vs Eddy | 34–50 | 40.48% |
| Calûnga vs Lili | 37–43 | 46.25% |
| Calûnga vs Lars | 31–49 | 38.75% |
| Calûnga vs Lee | 34–34 | 50.00% |
| Calûnga vs Victor | 19–42 | 31.15% |
| Calûnga vs Paul | 27–29 | 48.21% |
| Calûnga vs Asuka | 29–27 | 51.79% |
| Calûnga vs Jun | 22–34 | 39.29% |
| Calûnga vs Yoshimitsu | 18–34 | 34.62% |
| Calûnga vs Azucena | 17–35 | 32.69% |
| Calûnga vs Leo | 22–27 | 44.90% |
| Calûnga vs Heihachi | 17–32 | 34.69% |
| Calûnga vs Alisa | 21–27 | 43.75% |
| Calûnga vs Nina | 25–23 | 52.08% |
| Calûnga vs Dragunov | 26–18 | 59.09% |
| Calûnga vs Jack-8 | 24–17 | 58.54% |
| Calûnga vs Devil Jin | 18–20 | 47.37% |
| Calûnga vs Leroy | 15–21 | 41.67% |
| Calûnga vs Feng | 19–12 | 61.29% |
| Calûnga vs Kuma | 9–22 | 29.03% |
| Calûnga vs Clive | 11–19 | 36.67% |
| Calûnga vs Lidia | 8–17 | 32.00% |
| Calûnga vs Raven | 5–17 | 22.73% |
| Calûnga vs Zafina | 9–9 | 50.00% |
| Calûnga vs Claudio | 7–10 | 41.18% |
| Calûnga vs Shaheen | 9–5 | 64.29% |
| Calûnga vs Panda | 2–3 | 40.00% |
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.