| LeGo_p4ck04 vs Fahkumram | 32–20 | 61.54% |
| LeGo_p4ck04 vs Jin | 30–10 | 75.00% |
| LeGo_p4ck04 vs Law | 18–11 | 62.07% |
| LeGo_p4ck04 vs King | 16–10 | 61.54% |
| LeGo_p4ck04 vs Paul | 15–10 | 60.00% |
| LeGo_p4ck04 vs Bryan | 12–12 | 50.00% |
| LeGo_p4ck04 vs Kazuya | 10–12 | 45.45% |
| LeGo_p4ck04 vs Jun | 10–6 | 62.50% |
| LeGo_p4ck04 vs Raven | 5–11 | 31.25% |
| LeGo_p4ck04 vs Reina | 5–10 | 33.33% |
| LeGo_p4ck04 vs Steve | 6–8 | 42.86% |
| LeGo_p4ck04 vs Lars | 5–9 | 35.71% |
| LeGo_p4ck04 vs Hwoarang | 8–5 | 61.54% |
| LeGo_p4ck04 vs Clive | 10–3 | 76.92% |
| LeGo_p4ck04 vs Yoshimitsu | 9–3 | 75.00% |
| LeGo_p4ck04 vs Lili | 6–6 | 50.00% |
| LeGo_p4ck04 vs Claudio | 6–6 | 50.00% |
| LeGo_p4ck04 vs Azucena | 10–2 | 83.33% |
| LeGo_p4ck04 vs Lidia | 7–5 | 58.33% |
| LeGo_p4ck04 vs Heihachi | 4–8 | 33.33% |
| LeGo_p4ck04 vs Xiaoyu | 4–7 | 36.36% |
| LeGo_p4ck04 vs Lee | 7–4 | 63.64% |
| LeGo_p4ck04 vs Jack-8 | 7–3 | 70.00% |
| LeGo_p4ck04 vs Asuka | 5–5 | 50.00% |
| LeGo_p4ck04 vs Nina | 4–6 | 40.00% |
| LeGo_p4ck04 vs Dragunov | 3–5 | 37.50% |
| LeGo_p4ck04 vs Devil Jin | 2–5 | 28.57% |
| LeGo_p4ck04 vs Victor | 3–4 | 42.86% |
| LeGo_p4ck04 vs Leroy | 3–3 | 50.00% |
| LeGo_p4ck04 vs Eddy | 4–2 | 66.67% |
| LeGo_p4ck04 vs Feng | 1–4 | 20.00% |
| LeGo_p4ck04 vs Leo | 2–3 | 40.00% |
| LeGo_p4ck04 vs Shaheen | 3–1 | 75.00% |
| LeGo_p4ck04 vs Alisa | 0–3 | 0.00% |
| LeGo_p4ck04 vs Zafina | 2–1 | 66.67% |
| LeGo_p4ck04 vs Kuma | 2–0 | 100.00% |
| LeGo_p4ck04 vs Panda | 0–2 | 0.00% |
| LeGo_p4ck04 vs Anna | 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.