| LJH_Relampago vs Dragunov | 34–27 | 55.74% |
| LJH_Relampago vs Hwoarang | 26–16 | 61.90% |
| LJH_Relampago vs Yoshimitsu | 18–19 | 48.65% |
| LJH_Relampago vs King | 22–14 | 61.11% |
| LJH_Relampago vs Paul | 23–11 | 67.65% |
| LJH_Relampago vs Bryan | 20–14 | 58.82% |
| LJH_Relampago vs Kazuya | 22–12 | 64.71% |
| LJH_Relampago vs Eddy | 18–16 | 52.94% |
| LJH_Relampago vs Jin | 18–13 | 58.06% |
| LJH_Relampago vs Reina | 19–10 | 65.52% |
| LJH_Relampago vs Azucena | 14–14 | 50.00% |
| LJH_Relampago vs Jun | 11–16 | 40.74% |
| LJH_Relampago vs Alisa | 8–18 | 30.77% |
| LJH_Relampago vs Lili | 9–11 | 45.00% |
| LJH_Relampago vs Lars | 11–8 | 57.89% |
| LJH_Relampago vs Victor | 11–8 | 57.89% |
| LJH_Relampago vs Xiaoyu | 10–8 | 55.56% |
| LJH_Relampago vs Devil Jin | 9–8 | 52.94% |
| LJH_Relampago vs Feng | 9–8 | 52.94% |
| LJH_Relampago vs Asuka | 11–5 | 68.75% |
| LJH_Relampago vs Steve | 14–1 | 93.33% |
| LJH_Relampago vs Claudio | 9–5 | 64.29% |
| LJH_Relampago vs Law | 6–7 | 46.15% |
| LJH_Relampago vs Lidia | 6–6 | 50.00% |
| LJH_Relampago vs Leo | 3–7 | 30.00% |
| LJH_Relampago vs Lee | 6–4 | 60.00% |
| LJH_Relampago vs Leroy | 5–4 | 55.56% |
| LJH_Relampago vs Raven | 5–4 | 55.56% |
| LJH_Relampago vs Jack-8 | 3–5 | 37.50% |
| LJH_Relampago vs Nina | 3–5 | 37.50% |
| LJH_Relampago vs Kuma | 4–3 | 57.14% |
| LJH_Relampago vs Zafina | 2–4 | 33.33% |
| LJH_Relampago vs Heihachi | 3–3 | 50.00% |
| LJH_Relampago vs Panda | 2–3 | 40.00% |
| LJH_Relampago vs Clive | 4–1 | 80.00% |
| LJH_Relampago vs Shaheen | 1–3 | 25.00% |
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.