| Lumina vs Bryan | 88–73 | 54.66% |
| Lumina vs King | 81–64 | 55.86% |
| Lumina vs Hwoarang | 44–51 | 46.32% |
| Lumina vs Steve | 47–47 | 50.00% |
| Lumina vs Law | 42–49 | 46.15% |
| Lumina vs Jin | 52–37 | 58.43% |
| Lumina vs Alisa | 52–32 | 61.90% |
| Lumina vs Kazuya | 55–27 | 67.07% |
| Lumina vs Paul | 53–28 | 65.43% |
| Lumina vs Lee | 40–39 | 50.63% |
| Lumina vs Yoshimitsu | 41–28 | 59.42% |
| Lumina vs Dragunov | 39–22 | 63.93% |
| Lumina vs Xiaoyu | 35–21 | 62.50% |
| Lumina vs Eddy | 29–25 | 53.70% |
| Lumina vs Lili | 22–29 | 43.14% |
| Lumina vs Kuma | 24–26 | 48.00% |
| Lumina vs Claudio | 24–22 | 52.17% |
| Lumina vs Heihachi | 21–24 | 46.67% |
| Lumina vs Victor | 27–17 | 61.36% |
| Lumina vs Nina | 22–18 | 55.00% |
| Lumina vs Devil Jin | 22–17 | 56.41% |
| Lumina vs Jack-8 | 23–15 | 60.53% |
| Lumina vs Asuka | 22–14 | 61.11% |
| Lumina vs Lars | 22–14 | 61.11% |
| Lumina vs Raven | 11–25 | 30.56% |
| Lumina vs Jun | 18–12 | 60.00% |
| Lumina vs Azucena | 15–14 | 51.72% |
| Lumina vs Feng | 12–12 | 50.00% |
| Lumina vs Zafina | 10–13 | 43.48% |
| Lumina vs Leroy | 16–7 | 69.57% |
| Lumina vs Reina | 11–11 | 50.00% |
| Lumina vs Panda | 9–12 | 42.86% |
| Lumina vs Leo | 10–6 | 62.50% |
| Lumina vs Shaheen | 9–4 | 69.23% |
| Lumina vs Lidia | 1–1 | 50.00% |
| Lumina vs Clive | 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.