| loll vs Kazuya | 50–31 | 61.73% |
| loll vs Bryan | 45–26 | 63.38% |
| loll vs Jin | 40–19 | 67.80% |
| loll vs Fahkumram | 36–20 | 64.29% |
| loll vs Hwoarang | 29–16 | 64.44% |
| loll vs Heihachi | 34–11 | 75.56% |
| loll vs Reina | 35–8 | 81.40% |
| loll vs King | 34–8 | 80.95% |
| loll vs Steve | 25–16 | 60.98% |
| loll vs Dragunov | 23–11 | 67.65% |
| loll vs Clive | 21–13 | 61.76% |
| loll vs Paul | 24–8 | 75.00% |
| loll vs Azucena | 21–11 | 65.62% |
| loll vs Asuka | 19–12 | 61.29% |
| loll vs Devil Jin | 17–11 | 60.71% |
| loll vs Lili | 18–10 | 64.29% |
| loll vs Jun | 23–3 | 88.46% |
| loll vs Xiaoyu | 18–7 | 72.00% |
| loll vs Lars | 22–3 | 88.00% |
| loll vs Claudio | 19–6 | 76.00% |
| loll vs Raven | 17–7 | 70.83% |
| loll vs Victor | 19–4 | 82.61% |
| loll vs Lidia | 17–6 | 73.91% |
| loll vs Feng | 12–10 | 54.55% |
| loll vs Anna | 14–8 | 63.64% |
| loll vs Yoshimitsu | 11–7 | 61.11% |
| loll vs Lee | 12–6 | 66.67% |
| loll vs Nina | 12–3 | 80.00% |
| loll vs Jack-8 | 8–4 | 66.67% |
| loll vs Leo | 7–5 | 58.33% |
| loll vs Alisa | 7–5 | 58.33% |
| loll vs Kuma | 6–5 | 54.55% |
| loll vs Miary Zo | 4–5 | 44.44% |
| loll vs Eddy | 4–4 | 50.00% |
| loll vs Law | 5–2 | 71.43% |
| loll vs Panda | 4–3 | 57.14% |
| loll vs Zafina | 3–2 | 60.00% |
| loll vs Leroy | 4–1 | 80.00% |
| loll vs Shaheen | 0–3 | 0.00% |
| loll vs Armor King | 0–2 | 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.