| LuddYx vs Kazuya | 14–37 | 27.45% |
| LuddYx vs Jin | 8–35 | 18.60% |
| LuddYx vs Steve | 18–20 | 47.37% |
| LuddYx vs Yoshimitsu | 16–14 | 53.33% |
| LuddYx vs Hwoarang | 14–15 | 48.28% |
| LuddYx vs Lili | 17–12 | 58.62% |
| LuddYx vs Eddy | 9–16 | 36.00% |
| LuddYx vs Clive | 7–17 | 29.17% |
| LuddYx vs Fahkumram | 9–15 | 37.50% |
| LuddYx vs Law | 7–16 | 30.43% |
| LuddYx vs Reina | 7–16 | 30.43% |
| LuddYx vs Bryan | 6–16 | 27.27% |
| LuddYx vs Heihachi | 14–8 | 63.64% |
| LuddYx vs Dragunov | 8–13 | 38.10% |
| LuddYx vs Miary Zo | 4–16 | 20.00% |
| LuddYx vs Claudio | 6–13 | 31.58% |
| LuddYx vs Asuka | 5–10 | 33.33% |
| LuddYx vs Azucena | 4–11 | 26.67% |
| LuddYx vs Armor King | 5–10 | 33.33% |
| LuddYx vs King | 6–7 | 46.15% |
| LuddYx vs Xiaoyu | 2–10 | 16.67% |
| LuddYx vs Paul | 6–5 | 54.55% |
| LuddYx vs Devil Jin | 1–8 | 11.11% |
| LuddYx vs Alisa | 1–8 | 11.11% |
| LuddYx vs Leo | 3–5 | 37.50% |
| LuddYx vs Leroy | 2–4 | 33.33% |
| LuddYx vs Lidia | 2–4 | 33.33% |
| LuddYx vs Lars | 2–3 | 40.00% |
| LuddYx vs Lee | 1–4 | 20.00% |
| LuddYx vs Kuma | 0–5 | 0.00% |
| LuddYx vs Feng | 1–2 | 33.33% |
| LuddYx vs Panda | 2–1 | 66.67% |
| LuddYx vs Jun | 2–1 | 66.67% |
| LuddYx vs Victor | 0–2 | 0.00% |
| LuddYx vs Anna | 2–0 | 100.00% |
| LuddYx vs Jack-8 | 0–1 | 0.00% |
| LuddYx vs Raven | 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.