| Lulu vs Armor King | 24–17 | 58.54% |
| Lulu vs Reina | 22–11 | 66.67% |
| Lulu vs Kazuya | 9–22 | 29.03% |
| Lulu vs King | 22–7 | 75.86% |
| Lulu vs Jin | 13–15 | 46.43% |
| Lulu vs Yoshimitsu | 15–11 | 57.69% |
| Lulu vs Dragunov | 5–18 | 21.74% |
| Lulu vs Hwoarang | 13–9 | 59.09% |
| Lulu vs Lee | 13–8 | 61.90% |
| Lulu vs Azucena | 10–11 | 47.62% |
| Lulu vs Eddy | 12–9 | 57.14% |
| Lulu vs Heihachi | 11–9 | 55.00% |
| Lulu vs Feng | 11–8 | 57.89% |
| Lulu vs Law | 8–10 | 44.44% |
| Lulu vs Bryan | 7–10 | 41.18% |
| Lulu vs Steve | 11–6 | 64.71% |
| Lulu vs Lars | 10–7 | 58.82% |
| Lulu vs Nina | 5–11 | 31.25% |
| Lulu vs Anna | 8–8 | 50.00% |
| Lulu vs Victor | 8–6 | 57.14% |
| Lulu vs Lidia | 10–4 | 71.43% |
| Lulu vs Asuka | 8–5 | 61.54% |
| Lulu vs Lili | 11–2 | 84.62% |
| Lulu vs Alisa | 8–4 | 66.67% |
| Lulu vs Miary Zo | 10–2 | 83.33% |
| Lulu vs Leroy | 8–3 | 72.73% |
| Lulu vs Clive | 9–2 | 81.82% |
| Lulu vs Devil Jin | 5–5 | 50.00% |
| Lulu vs Jun | 7–3 | 70.00% |
| Lulu vs Xiaoyu | 6–3 | 66.67% |
| Lulu vs Paul | 5–2 | 71.43% |
| Lulu vs Shaheen | 3–4 | 42.86% |
| Lulu vs Fahkumram | 3–4 | 42.86% |
| Lulu vs Jack-8 | 2–3 | 40.00% |
| Lulu vs Leo | 1–4 | 20.00% |
| Lulu vs Claudio | 2–2 | 50.00% |
| Lulu vs Panda | 3–0 | 100.00% |
| Lulu vs Kuma | 2–0 | 100.00% |
| Lulu vs Raven | 2–0 | 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.