| Lamori vs Kazuya | 39–22 | 63.93% |
| Lamori vs Heihachi | 20–26 | 43.48% |
| Lamori vs Reina | 19–26 | 42.22% |
| Lamori vs Jin | 20–23 | 46.51% |
| Lamori vs Dragunov | 14–25 | 35.90% |
| Lamori vs Bryan | 21–14 | 60.00% |
| Lamori vs Devil Jin | 13–17 | 43.33% |
| Lamori vs Lili | 17–9 | 65.38% |
| Lamori vs Steve | 16–9 | 64.00% |
| Lamori vs Victor | 12–11 | 52.17% |
| Lamori vs Law | 8–14 | 36.36% |
| Lamori vs King | 12–10 | 54.55% |
| Lamori vs Clive | 14–8 | 63.64% |
| Lamori vs Asuka | 15–6 | 71.43% |
| Lamori vs Azucena | 7–14 | 33.33% |
| Lamori vs Hwoarang | 10–10 | 50.00% |
| Lamori vs Xiaoyu | 9–11 | 45.00% |
| Lamori vs Nina | 9–8 | 52.94% |
| Lamori vs Jun | 10–7 | 58.82% |
| Lamori vs Lars | 10–5 | 66.67% |
| Lamori vs Anna | 9–6 | 60.00% |
| Lamori vs Yoshimitsu | 8–6 | 57.14% |
| Lamori vs Armor King | 4–9 | 30.77% |
| Lamori vs Paul | 6–5 | 54.55% |
| Lamori vs Lee | 6–5 | 54.55% |
| Lamori vs Lidia | 5–5 | 50.00% |
| Lamori vs Alisa | 3–6 | 33.33% |
| Lamori vs Claudio | 4–5 | 44.44% |
| Lamori vs Jack-8 | 1–7 | 12.50% |
| Lamori vs Feng | 2–6 | 25.00% |
| Lamori vs Shaheen | 2–6 | 25.00% |
| Lamori vs Raven | 4–4 | 50.00% |
| Lamori vs Leo | 1–6 | 14.29% |
| Lamori vs Eddy | 3–2 | 60.00% |
| Lamori vs Leroy | 1–3 | 25.00% |
| Lamori vs Zafina | 2–1 | 66.67% |
| Lamori vs Kuma | 0–1 | 0.00% |
| Lamori vs Panda | 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.