| LarTrash vs Hwoarang | 36–24 | 60.00% |
| LarTrash vs Bryan | 27–23 | 54.00% |
| LarTrash vs Dragunov | 20–29 | 40.82% |
| LarTrash vs Kazuya | 22–23 | 48.89% |
| LarTrash vs Paul | 25–15 | 62.50% |
| LarTrash vs King | 19–18 | 51.35% |
| LarTrash vs Reina | 14–17 | 45.16% |
| LarTrash vs Victor | 19–12 | 61.29% |
| LarTrash vs Asuka | 15–15 | 50.00% |
| LarTrash vs Yoshimitsu | 16–10 | 61.54% |
| LarTrash vs Steve | 10–16 | 38.46% |
| LarTrash vs Jin | 11–14 | 44.00% |
| LarTrash vs Lili | 11–11 | 50.00% |
| LarTrash vs Alisa | 16–5 | 76.19% |
| LarTrash vs Azucena | 11–6 | 64.71% |
| LarTrash vs Law | 9–7 | 56.25% |
| LarTrash vs Jun | 11–5 | 68.75% |
| LarTrash vs Jack-8 | 9–6 | 60.00% |
| LarTrash vs Leo | 7–8 | 46.67% |
| LarTrash vs Lars | 10–5 | 66.67% |
| LarTrash vs Nina | 10–5 | 66.67% |
| LarTrash vs Xiaoyu | 10–4 | 71.43% |
| LarTrash vs Lee | 5–9 | 35.71% |
| LarTrash vs Eddy | 1–13 | 7.14% |
| LarTrash vs Claudio | 10–2 | 83.33% |
| LarTrash vs Devil Jin | 4–6 | 40.00% |
| LarTrash vs Heihachi | 5–4 | 55.56% |
| LarTrash vs Feng | 5–3 | 62.50% |
| LarTrash vs Leroy | 5–3 | 62.50% |
| LarTrash vs Shaheen | 4–3 | 57.14% |
| LarTrash vs Kuma | 2–5 | 28.57% |
| LarTrash vs Raven | 2–5 | 28.57% |
| LarTrash vs Zafina | 0–6 | 0.00% |
| LarTrash vs Panda | 1–3 | 25.00% |
| LarTrash vs Lidia | 0–4 | 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.