| lasagnalord vs Armor King | 44–52 | 45.83% |
| lasagnalord vs Kazuya | 52–26 | 66.67% |
| lasagnalord vs Heihachi | 38–28 | 57.58% |
| lasagnalord vs King | 38–27 | 58.46% |
| lasagnalord vs Bryan | 41–21 | 66.13% |
| lasagnalord vs Jin | 37–20 | 64.91% |
| lasagnalord vs Steve | 36–20 | 64.29% |
| lasagnalord vs Hwoarang | 28–17 | 62.22% |
| lasagnalord vs Fahkumram | 25–16 | 60.98% |
| lasagnalord vs Paul | 26–13 | 66.67% |
| lasagnalord vs Dragunov | 20–18 | 52.63% |
| lasagnalord vs Reina | 23–12 | 65.71% |
| lasagnalord vs Law | 20–14 | 58.82% |
| lasagnalord vs Xiaoyu | 23–11 | 67.65% |
| lasagnalord vs Yoshimitsu | 14–15 | 48.28% |
| lasagnalord vs Jun | 19–10 | 65.52% |
| lasagnalord vs Eddy | 19–8 | 70.37% |
| lasagnalord vs Devil Jin | 15–11 | 57.69% |
| lasagnalord vs Lili | 15–11 | 57.69% |
| lasagnalord vs Azucena | 18–7 | 72.00% |
| lasagnalord vs Clive | 14–10 | 58.33% |
| lasagnalord vs Lars | 17–5 | 77.27% |
| lasagnalord vs Lidia | 11–11 | 50.00% |
| lasagnalord vs Asuka | 18–3 | 85.71% |
| lasagnalord vs Leroy | 10–11 | 47.62% |
| lasagnalord vs Lee | 11–9 | 55.00% |
| lasagnalord vs Anna | 12–8 | 60.00% |
| lasagnalord vs Feng | 8–11 | 42.11% |
| lasagnalord vs Claudio | 11–7 | 61.11% |
| lasagnalord vs Shaheen | 10–7 | 58.82% |
| lasagnalord vs Kuma | 7–10 | 41.18% |
| lasagnalord vs Victor | 8–7 | 53.33% |
| lasagnalord vs Jack-8 | 9–5 | 64.29% |
| lasagnalord vs Nina | 5–7 | 41.67% |
| lasagnalord vs Zafina | 8–4 | 66.67% |
| lasagnalord vs Alisa | 5–6 | 45.45% |
| lasagnalord vs Raven | 9–2 | 81.82% |
| lasagnalord vs Leo | 2–0 | 100.00% |
| lasagnalord vs Panda | 1–1 | 50.00% |
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.