| lasang vs King | 27–29 | 48.21% |
| lasang vs Jin | 10–29 | 25.64% |
| lasang vs Hwoarang | 11–19 | 36.67% |
| lasang vs Steve | 12–17 | 41.38% |
| lasang vs Reina | 11–17 | 39.29% |
| lasang vs Lili | 11–13 | 45.83% |
| lasang vs Law | 8–15 | 34.78% |
| lasang vs Kazuya | 9–10 | 47.37% |
| lasang vs Yoshimitsu | 7–11 | 38.89% |
| lasang vs Asuka | 6–11 | 35.29% |
| lasang vs Jun | 7–9 | 43.75% |
| lasang vs Devil Jin | 4–11 | 26.67% |
| lasang vs Lars | 5–9 | 35.71% |
| lasang vs Miary Zo | 8–6 | 57.14% |
| lasang vs Bryan | 4–9 | 30.77% |
| lasang vs Dragunov | 4–9 | 30.77% |
| lasang vs Paul | 6–4 | 60.00% |
| lasang vs Azucena | 2–8 | 20.00% |
| lasang vs Xiaoyu | 4–5 | 44.44% |
| lasang vs Zafina | 5–4 | 55.56% |
| lasang vs Eddy | 1–8 | 11.11% |
| lasang vs Jack-8 | 0–8 | 0.00% |
| lasang vs Kuma | 4–4 | 50.00% |
| lasang vs Leroy | 3–5 | 37.50% |
| lasang vs Heihachi | 4–4 | 50.00% |
| lasang vs Armor King | 5–3 | 62.50% |
| lasang vs Claudio | 3–3 | 50.00% |
| lasang vs Lee | 2–4 | 33.33% |
| lasang vs Raven | 4–2 | 66.67% |
| lasang vs Lidia | 2–4 | 33.33% |
| lasang vs Fahkumram | 4–2 | 66.67% |
| lasang vs Leo | 5–0 | 100.00% |
| lasang vs Alisa | 1–3 | 25.00% |
| lasang vs Shaheen | 1–3 | 25.00% |
| lasang vs Victor | 0–4 | 0.00% |
| lasang vs Clive | 2–2 | 50.00% |
| lasang vs Nina | 0–3 | 0.00% |
| lasang vs Anna | 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.