| KnuevoLuz vs Steve | 58–27 | 68.24% |
| KnuevoLuz vs King | 38–43 | 46.91% |
| KnuevoLuz vs Reina | 37–36 | 50.68% |
| KnuevoLuz vs Asuka | 35–29 | 54.69% |
| KnuevoLuz vs Kazuya | 36–27 | 57.14% |
| KnuevoLuz vs Eddy | 27–30 | 47.37% |
| KnuevoLuz vs Bryan | 15–37 | 28.85% |
| KnuevoLuz vs Lili | 16–32 | 33.33% |
| KnuevoLuz vs Jin | 18–29 | 38.30% |
| KnuevoLuz vs Dragunov | 27–18 | 60.00% |
| KnuevoLuz vs Hwoarang | 24–17 | 58.54% |
| KnuevoLuz vs Azucena | 18–22 | 45.00% |
| KnuevoLuz vs Law | 16–19 | 45.71% |
| KnuevoLuz vs Jun | 14–21 | 40.00% |
| KnuevoLuz vs Yoshimitsu | 14–17 | 45.16% |
| KnuevoLuz vs Nina | 13–17 | 43.33% |
| KnuevoLuz vs Miary Zo | 12–18 | 40.00% |
| KnuevoLuz vs Victor | 14–14 | 50.00% |
| KnuevoLuz vs Paul | 15–10 | 60.00% |
| KnuevoLuz vs Lee | 7–18 | 28.00% |
| KnuevoLuz vs Lars | 12–12 | 50.00% |
| KnuevoLuz vs Jack-8 | 11–12 | 47.83% |
| KnuevoLuz vs Leroy | 15–8 | 65.22% |
| KnuevoLuz vs Alisa | 8–11 | 42.11% |
| KnuevoLuz vs Armor King | 2–17 | 10.53% |
| KnuevoLuz vs Xiaoyu | 11–7 | 61.11% |
| KnuevoLuz vs Feng | 12–6 | 66.67% |
| KnuevoLuz vs Kuma | 3–15 | 16.67% |
| KnuevoLuz vs Devil Jin | 10–7 | 58.82% |
| KnuevoLuz vs Leo | 11–6 | 64.71% |
| KnuevoLuz vs Fahkumram | 6–11 | 35.29% |
| KnuevoLuz vs Shaheen | 6–9 | 40.00% |
| KnuevoLuz vs Claudio | 3–11 | 21.43% |
| KnuevoLuz vs Raven | 4–10 | 28.57% |
| KnuevoLuz vs Heihachi | 7–6 | 53.85% |
| KnuevoLuz vs Zafina | 6–6 | 50.00% |
| KnuevoLuz vs Clive | 3–6 | 33.33% |
| KnuevoLuz vs Lidia | 4–4 | 50.00% |
| KnuevoLuz vs Anna | 4–4 | 50.00% |
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.