| LUCCO vs Kazuya | 17–39 | 30.36% |
| LUCCO vs Reina | 14–21 | 40.00% |
| LUCCO vs Jin | 6–28 | 17.65% |
| LUCCO vs Steve | 16–17 | 48.48% |
| LUCCO vs Dragunov | 15–18 | 45.45% |
| LUCCO vs Yoshimitsu | 12–18 | 40.00% |
| LUCCO vs King | 7–22 | 24.14% |
| LUCCO vs Clive | 10–19 | 34.48% |
| LUCCO vs Hwoarang | 6–19 | 24.00% |
| LUCCO vs Devil Jin | 6–19 | 24.00% |
| LUCCO vs Paul | 5–19 | 20.83% |
| LUCCO vs Eddy | 5–18 | 21.74% |
| LUCCO vs Law | 2–19 | 9.52% |
| LUCCO vs Armor King | 6–15 | 28.57% |
| LUCCO vs Bryan | 5–14 | 26.32% |
| LUCCO vs Lili | 6–13 | 31.58% |
| LUCCO vs Fahkumram | 2–16 | 11.11% |
| LUCCO vs Victor | 5–12 | 29.41% |
| LUCCO vs Lee | 6–10 | 37.50% |
| LUCCO vs Miary Zo | 4–12 | 25.00% |
| LUCCO vs Nina | 7–8 | 46.67% |
| LUCCO vs Alisa | 7–7 | 50.00% |
| LUCCO vs Lidia | 3–11 | 21.43% |
| LUCCO vs Azucena | 5–8 | 38.46% |
| LUCCO vs Asuka | 5–5 | 50.00% |
| LUCCO vs Heihachi | 1–9 | 10.00% |
| LUCCO vs Jack-8 | 4–5 | 44.44% |
| LUCCO vs Xiaoyu | 2–6 | 25.00% |
| LUCCO vs Feng | 2–6 | 25.00% |
| LUCCO vs Shaheen | 0–8 | 0.00% |
| LUCCO vs Leroy | 5–3 | 62.50% |
| LUCCO vs Leo | 1–6 | 14.29% |
| LUCCO vs Lars | 0–6 | 0.00% |
| LUCCO vs Zafina | 4–2 | 66.67% |
| LUCCO vs Claudio | 0–5 | 0.00% |
| LUCCO vs Panda | 2–3 | 40.00% |
| LUCCO vs Anna | 2–2 | 50.00% |
| LUCCO vs Kuma | 0–3 | 0.00% |
| LUCCO vs Jun | 1–2 | 33.33% |
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.