| erne_lasagna vs King | 15–7 | 68.18% |
| erne_lasagna vs Jin | 14–8 | 63.64% |
| erne_lasagna vs Armor King | 14–7 | 66.67% |
| erne_lasagna vs Kazuya | 11–7 | 61.11% |
| erne_lasagna vs Hwoarang | 13–4 | 76.47% |
| erne_lasagna vs Law | 10–6 | 62.50% |
| erne_lasagna vs Asuka | 9–7 | 56.25% |
| erne_lasagna vs Lili | 7–8 | 46.67% |
| erne_lasagna vs Bryan | 9–3 | 75.00% |
| erne_lasagna vs Steve | 9–3 | 75.00% |
| erne_lasagna vs Lee | 9–2 | 81.82% |
| erne_lasagna vs Reina | 8–2 | 80.00% |
| erne_lasagna vs Azucena | 8–2 | 80.00% |
| erne_lasagna vs Eddy | 6–3 | 66.67% |
| erne_lasagna vs Lidia | 7–2 | 77.78% |
| erne_lasagna vs Paul | 5–3 | 62.50% |
| erne_lasagna vs Xiaoyu | 6–1 | 85.71% |
| erne_lasagna vs Jun | 1–6 | 14.29% |
| erne_lasagna vs Lars | 2–4 | 33.33% |
| erne_lasagna vs Raven | 4–1 | 80.00% |
| erne_lasagna vs Fahkumram | 4–1 | 80.00% |
| erne_lasagna vs Jack-8 | 3–1 | 75.00% |
| erne_lasagna vs Dragunov | 4–0 | 100.00% |
| erne_lasagna vs Shaheen | 4–0 | 100.00% |
| erne_lasagna vs Victor | 4–0 | 100.00% |
| erne_lasagna vs Yoshimitsu | 2–1 | 66.67% |
| erne_lasagna vs Claudio | 2–1 | 66.67% |
| erne_lasagna vs Nina | 3–0 | 100.00% |
| erne_lasagna vs Clive | 2–1 | 66.67% |
| erne_lasagna vs Miary Zo | 1–2 | 33.33% |
| erne_lasagna vs Devil Jin | 0–2 | 0.00% |
| erne_lasagna vs Kuma | 2–0 | 100.00% |
| erne_lasagna vs Leo | 1–0 | 100.00% |
| erne_lasagna vs Alisa | 0–1 | 0.00% |
| erne_lasagna vs Heihachi | 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.