| LMN1004 vs Dragunov | 31–77 | 28.70% |
| LMN1004 vs King | 30–58 | 34.09% |
| LMN1004 vs Kazuya | 19–60 | 24.05% |
| LMN1004 vs Steve | 16–56 | 22.22% |
| LMN1004 vs Heihachi | 25–40 | 38.46% |
| LMN1004 vs Lili | 21–40 | 34.43% |
| LMN1004 vs Asuka | 17–42 | 28.81% |
| LMN1004 vs Jin | 19–38 | 33.33% |
| LMN1004 vs Paul | 8–48 | 14.29% |
| LMN1004 vs Reina | 14–39 | 26.42% |
| LMN1004 vs Hwoarang | 16–28 | 36.36% |
| LMN1004 vs Yoshimitsu | 15–27 | 35.71% |
| LMN1004 vs Devil Jin | 7–35 | 16.67% |
| LMN1004 vs Fahkumram | 3–34 | 8.11% |
| LMN1004 vs Jun | 11–25 | 30.56% |
| LMN1004 vs Bryan | 6–29 | 17.14% |
| LMN1004 vs Victor | 3–31 | 8.82% |
| LMN1004 vs Law | 8–23 | 25.81% |
| LMN1004 vs Azucena | 8–20 | 28.57% |
| LMN1004 vs Alisa | 4–22 | 15.38% |
| LMN1004 vs Claudio | 6–19 | 24.00% |
| LMN1004 vs Nina | 9–16 | 36.00% |
| LMN1004 vs Leroy | 7–18 | 28.00% |
| LMN1004 vs Lars | 9–14 | 39.13% |
| LMN1004 vs Kuma | 3–20 | 13.04% |
| LMN1004 vs Zafina | 10–11 | 47.62% |
| LMN1004 vs Clive | 7–14 | 33.33% |
| LMN1004 vs Anna | 6–13 | 31.58% |
| LMN1004 vs Xiaoyu | 8–10 | 44.44% |
| LMN1004 vs Lidia | 3–15 | 16.67% |
| LMN1004 vs Armor King | 8–10 | 44.44% |
| LMN1004 vs Lee | 5–10 | 33.33% |
| LMN1004 vs Shaheen | 3–10 | 23.08% |
| LMN1004 vs Eddy | 4–7 | 36.36% |
| LMN1004 vs Feng | 0–10 | 0.00% |
| LMN1004 vs Panda | 2–8 | 20.00% |
| LMN1004 vs Jack-8 | 2–6 | 25.00% |
| LMN1004 vs Leo | 2–5 | 28.57% |
| LMN1004 vs Raven | 1–6 | 14.29% |
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.