lasagnabackwood vs Jin | 28–32 | 46.67% |
lasagnabackwood vs King | 25–32 | 43.86% |
lasagnabackwood vs Steve | 36–17 | 67.92% |
lasagnabackwood vs Kazuya | 20–30 | 40.00% |
lasagnabackwood vs Hwoarang | 27–21 | 56.25% |
lasagnabackwood vs Bryan | 29–16 | 64.44% |
lasagnabackwood vs Azucena | 18–27 | 40.00% |
lasagnabackwood vs Lili | 9–26 | 25.71% |
lasagnabackwood vs Dragunov | 23–12 | 65.71% |
lasagnabackwood vs Eddy | 16–18 | 47.06% |
lasagnabackwood vs Law | 13–20 | 39.39% |
lasagnabackwood vs Xiaoyu | 14–14 | 50.00% |
lasagnabackwood vs Heihachi | 7–19 | 26.92% |
lasagnabackwood vs Asuka | 8–14 | 36.36% |
lasagnabackwood vs Reina | 5–17 | 22.73% |
lasagnabackwood vs Victor | 7–15 | 31.82% |
lasagnabackwood vs Lars | 9–12 | 42.86% |
lasagnabackwood vs Lee | 10–11 | 47.62% |
lasagnabackwood vs Leo | 5–13 | 27.78% |
lasagnabackwood vs Leroy | 8–10 | 44.44% |
lasagnabackwood vs Paul | 9–8 | 52.94% |
lasagnabackwood vs Yoshimitsu | 9–8 | 52.94% |
lasagnabackwood vs Jun | 8–8 | 50.00% |
lasagnabackwood vs Jack-8 | 7–8 | 46.67% |
lasagnabackwood vs Zafina | 7–7 | 50.00% |
lasagnabackwood vs Alisa | 6–6 | 50.00% |
lasagnabackwood vs Devil Jin | 6–4 | 60.00% |
lasagnabackwood vs Raven | 2–8 | 20.00% |
lasagnabackwood vs Feng | 2–7 | 22.22% |
lasagnabackwood vs Nina | 7–2 | 77.78% |
lasagnabackwood vs Clive | 4–5 | 44.44% |
lasagnabackwood vs Claudio | 2–6 | 25.00% |
lasagnabackwood vs Kuma | 3–3 | 50.00% |
lasagnabackwood vs Panda | 4–2 | 66.67% |
lasagnabackwood vs Lidia | 1–2 | 33.33% |
lasagnabackwood vs Shaheen | 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.