| Lolees vs Eddy | 14–15 | 48.28% |
| Lolees vs Jin | 14–13 | 51.85% |
| Lolees vs Kazuya | 12–13 | 48.00% |
| Lolees vs Steve | 19–6 | 76.00% |
| Lolees vs Dragunov | 13–6 | 68.42% |
| Lolees vs King | 7–9 | 43.75% |
| Lolees vs Reina | 14–2 | 87.50% |
| Lolees vs Hwoarang | 9–5 | 64.29% |
| Lolees vs Xiaoyu | 11–3 | 78.57% |
| Lolees vs Bryan | 7–6 | 53.85% |
| Lolees vs Lars | 9–3 | 75.00% |
| Lolees vs Paul | 9–2 | 81.82% |
| Lolees vs Feng | 11–0 | 100.00% |
| Lolees vs Lili | 7–4 | 63.64% |
| Lolees vs Law | 2–8 | 20.00% |
| Lolees vs Asuka | 7–3 | 70.00% |
| Lolees vs Nina | 2–6 | 25.00% |
| Lolees vs Yoshimitsu | 2–5 | 28.57% |
| Lolees vs Leroy | 6–1 | 85.71% |
| Lolees vs Azucena | 5–2 | 71.43% |
| Lolees vs Heihachi | 4–3 | 57.14% |
| Lolees vs Devil Jin | 4–1 | 80.00% |
| Lolees vs Fahkumram | 2–3 | 40.00% |
| Lolees vs Leo | 4–0 | 100.00% |
| Lolees vs Claudio | 2–2 | 50.00% |
| Lolees vs Lee | 3–1 | 75.00% |
| Lolees vs Kuma | 3–1 | 75.00% |
| Lolees vs Victor | 3–1 | 75.00% |
| Lolees vs Alisa | 1–2 | 33.33% |
| Lolees vs Shaheen | 1–2 | 33.33% |
| Lolees vs Zafina | 1–2 | 33.33% |
| Lolees vs Clive | 2–1 | 66.67% |
| Lolees vs Panda | 0–2 | 0.00% |
| Lolees vs Jun | 0–2 | 0.00% |
| Lolees vs Anna | 2–0 | 100.00% |
| Lolees vs Jack-8 | 1–0 | 100.00% |
| Lolees vs Raven | 1–0 | 100.00% |
| Lolees vs Armor King | 0–1 | 0.00% |
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.