| 2_LUV_LU vs Hwoarang | 45–47 | 48.91% |
| 2_LUV_LU vs Jin | 41–35 | 53.95% |
| 2_LUV_LU vs King | 36–34 | 51.43% |
| 2_LUV_LU vs Law | 42–24 | 63.64% |
| 2_LUV_LU vs Kazuya | 30–30 | 50.00% |
| 2_LUV_LU vs Steve | 28–31 | 47.46% |
| 2_LUV_LU vs Reina | 35–22 | 61.40% |
| 2_LUV_LU vs Lars | 34–21 | 61.82% |
| 2_LUV_LU vs Yoshimitsu | 31–22 | 58.49% |
| 2_LUV_LU vs Dragunov | 23–27 | 46.00% |
| 2_LUV_LU vs Lidia | 28–20 | 58.33% |
| 2_LUV_LU vs Azucena | 25–21 | 54.35% |
| 2_LUV_LU vs Eddy | 22–16 | 57.89% |
| 2_LUV_LU vs Bryan | 24–12 | 66.67% |
| 2_LUV_LU vs Xiaoyu | 12–23 | 34.29% |
| 2_LUV_LU vs Jun | 22–13 | 62.86% |
| 2_LUV_LU vs Victor | 16–18 | 47.06% |
| 2_LUV_LU vs Paul | 17–16 | 51.52% |
| 2_LUV_LU vs Lili | 18–12 | 60.00% |
| 2_LUV_LU vs Asuka | 16–13 | 55.17% |
| 2_LUV_LU vs Nina | 17–12 | 58.62% |
| 2_LUV_LU vs Lee | 17–12 | 58.62% |
| 2_LUV_LU vs Alisa | 12–15 | 44.44% |
| 2_LUV_LU vs Jack-8 | 12–10 | 54.55% |
| 2_LUV_LU vs Leo | 15–7 | 68.18% |
| 2_LUV_LU vs Feng | 16–5 | 76.19% |
| 2_LUV_LU vs Kuma | 7–10 | 41.18% |
| 2_LUV_LU vs Leroy | 11–6 | 64.71% |
| 2_LUV_LU vs Raven | 9–7 | 56.25% |
| 2_LUV_LU vs Devil Jin | 2–10 | 16.67% |
| 2_LUV_LU vs Shaheen | 5–7 | 41.67% |
| 2_LUV_LU vs Claudio | 8–3 | 72.73% |
| 2_LUV_LU vs Zafina | 6–5 | 54.55% |
| 2_LUV_LU vs Heihachi | 5–4 | 55.56% |
| 2_LUV_LU vs Panda | 1–0 | 100.00% |
| 2_LUV_LU vs Clive | 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.