| Lurks vs Kazuya | 98–79 | 55.37% |
| Lurks vs Jin | 66–49 | 57.39% |
| Lurks vs Dragunov | 69–45 | 60.53% |
| Lurks vs King | 50–57 | 46.73% |
| Lurks vs Reina | 46–43 | 51.69% |
| Lurks vs Clive | 48–29 | 62.34% |
| Lurks vs Lili | 33–42 | 44.00% |
| Lurks vs Bryan | 39–34 | 53.42% |
| Lurks vs Steve | 45–25 | 64.29% |
| Lurks vs Devil Jin | 38–24 | 61.29% |
| Lurks vs Asuka | 30–31 | 49.18% |
| Lurks vs Heihachi | 33–23 | 58.93% |
| Lurks vs Jun | 31–23 | 57.41% |
| Lurks vs Victor | 25–24 | 51.02% |
| Lurks vs Yoshimitsu | 21–25 | 45.65% |
| Lurks vs Lars | 22–20 | 52.38% |
| Lurks vs Alisa | 23–16 | 58.97% |
| Lurks vs Paul | 14–22 | 38.89% |
| Lurks vs Law | 14–20 | 41.18% |
| Lurks vs Hwoarang | 13–20 | 39.39% |
| Lurks vs Lee | 15–17 | 46.88% |
| Lurks vs Xiaoyu | 19–11 | 63.33% |
| Lurks vs Claudio | 17–11 | 60.71% |
| Lurks vs Nina | 12–12 | 50.00% |
| Lurks vs Leroy | 9–11 | 45.00% |
| Lurks vs Eddy | 9–10 | 47.37% |
| Lurks vs Leo | 7–11 | 38.89% |
| Lurks vs Shaheen | 6–11 | 35.29% |
| Lurks vs Azucena | 4–13 | 23.53% |
| Lurks vs Lidia | 15–2 | 88.24% |
| Lurks vs Feng | 5–10 | 33.33% |
| Lurks vs Jack-8 | 4–8 | 33.33% |
| Lurks vs Kuma | 5–6 | 45.45% |
| Lurks vs Raven | 4–5 | 44.44% |
| Lurks vs Anna | 6–1 | 85.71% |
| Lurks vs Panda | 2–1 | 66.67% |
| Lurks vs Zafina | 3–0 | 100.00% |
| Lurks vs Armor King | 2–1 | 66.67% |
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.