| LAGOM vs Jin | 35–17 | 67.31% |
| LAGOM vs Kazuya | 16–10 | 61.54% |
| LAGOM vs King | 13–12 | 52.00% |
| LAGOM vs Yoshimitsu | 11–14 | 44.00% |
| LAGOM vs Law | 14–9 | 60.87% |
| LAGOM vs Steve | 14–9 | 60.87% |
| LAGOM vs Bryan | 10–10 | 50.00% |
| LAGOM vs Hwoarang | 10–6 | 62.50% |
| LAGOM vs Paul | 4–11 | 26.67% |
| LAGOM vs Reina | 10–5 | 66.67% |
| LAGOM vs Asuka | 9–5 | 64.29% |
| LAGOM vs Lili | 5–9 | 35.71% |
| LAGOM vs Eddy | 8–5 | 61.54% |
| LAGOM vs Devil Jin | 7–4 | 63.64% |
| LAGOM vs Nina | 6–4 | 60.00% |
| LAGOM vs Leo | 5–4 | 55.56% |
| LAGOM vs Alisa | 8–1 | 88.89% |
| LAGOM vs Dragunov | 8–0 | 100.00% |
| LAGOM vs Lars | 4–4 | 50.00% |
| LAGOM vs Jun | 2–5 | 28.57% |
| LAGOM vs Heihachi | 2–5 | 28.57% |
| LAGOM vs Leroy | 2–3 | 40.00% |
| LAGOM vs Jack-8 | 2–2 | 50.00% |
| LAGOM vs Shaheen | 2–2 | 50.00% |
| LAGOM vs Kuma | 1–3 | 25.00% |
| LAGOM vs Raven | 3–1 | 75.00% |
| LAGOM vs Xiaoyu | 2–1 | 66.67% |
| LAGOM vs Claudio | 0–3 | 0.00% |
| LAGOM vs Lee | 1–2 | 33.33% |
| LAGOM vs Lidia | 2–1 | 66.67% |
| LAGOM vs Feng | 2–0 | 100.00% |
| LAGOM vs Azucena | 2–0 | 100.00% |
| LAGOM vs Clive | 0–2 | 0.00% |
| LAGOM vs Fahkumram | 2–0 | 100.00% |
| LAGOM vs Miary Zo | 1–1 | 50.00% |
| LAGOM vs Zafina | 0–1 | 0.00% |
| LAGOM vs Victor | 1–0 | 100.00% |
| LAGOM vs Armor King | 1–0 | 100.00% |
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.