| lumil1694 vs Jin | 58–63 | 47.93% |
| lumil1694 vs Kazuya | 56–42 | 57.14% |
| lumil1694 vs Bryan | 34–32 | 51.52% |
| lumil1694 vs Xiaoyu | 40–22 | 64.52% |
| lumil1694 vs Hwoarang | 23–36 | 38.98% |
| lumil1694 vs King | 29–28 | 50.88% |
| lumil1694 vs Dragunov | 28–28 | 50.00% |
| lumil1694 vs Steve | 29–24 | 54.72% |
| lumil1694 vs Clive | 30–23 | 56.60% |
| lumil1694 vs Law | 26–26 | 50.00% |
| lumil1694 vs Heihachi | 24–28 | 46.15% |
| lumil1694 vs Paul | 21–26 | 44.68% |
| lumil1694 vs Yoshimitsu | 25–22 | 53.19% |
| lumil1694 vs Jun | 22–23 | 48.89% |
| lumil1694 vs Asuka | 27–17 | 61.36% |
| lumil1694 vs Azucena | 22–21 | 51.16% |
| lumil1694 vs Reina | 19–23 | 45.24% |
| lumil1694 vs Lili | 19–22 | 46.34% |
| lumil1694 vs Nina | 21–20 | 51.22% |
| lumil1694 vs Lee | 16–14 | 53.33% |
| lumil1694 vs Anna | 13–11 | 54.17% |
| lumil1694 vs Jack-8 | 11–12 | 47.83% |
| lumil1694 vs Victor | 11–12 | 47.83% |
| lumil1694 vs Leo | 8–12 | 40.00% |
| lumil1694 vs Raven | 11–9 | 55.00% |
| lumil1694 vs Feng | 7–11 | 38.89% |
| lumil1694 vs Devil Jin | 4–12 | 25.00% |
| lumil1694 vs Claudio | 6–9 | 40.00% |
| lumil1694 vs Eddy | 10–5 | 66.67% |
| lumil1694 vs Zafina | 4–10 | 28.57% |
| lumil1694 vs Lars | 9–3 | 75.00% |
| lumil1694 vs Alisa | 4–7 | 36.36% |
| lumil1694 vs Lidia | 6–4 | 60.00% |
| lumil1694 vs Shaheen | 6–3 | 66.67% |
| lumil1694 vs Kuma | 5–3 | 62.50% |
| lumil1694 vs Panda | 4–2 | 66.67% |
| lumil1694 vs Fahkumram | 4–0 | 100.00% |
| lumil1694 vs Leroy | 3–0 | 100.00% |
| lumil1694 vs Armor King | 1–0 | 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.