| lofi.npc vs Kazuya | 18–20 | 47.37% |
| lofi.npc vs Bryan | 20–14 | 58.82% |
| lofi.npc vs Jun | 19–11 | 63.33% |
| lofi.npc vs Eddy | 15–15 | 50.00% |
| lofi.npc vs Jin | 13–11 | 54.17% |
| lofi.npc vs Reina | 16–5 | 76.19% |
| lofi.npc vs Paul | 14–6 | 70.00% |
| lofi.npc vs Feng | 8–12 | 40.00% |
| lofi.npc vs Lili | 9–10 | 47.37% |
| lofi.npc vs King | 10–8 | 55.56% |
| lofi.npc vs Yoshimitsu | 7–7 | 50.00% |
| lofi.npc vs Dragunov | 5–9 | 35.71% |
| lofi.npc vs Nina | 4–10 | 28.57% |
| lofi.npc vs Azucena | 7–7 | 50.00% |
| lofi.npc vs Hwoarang | 7–6 | 53.85% |
| lofi.npc vs Law | 4–8 | 33.33% |
| lofi.npc vs Xiaoyu | 4–6 | 40.00% |
| lofi.npc vs Asuka | 8–2 | 80.00% |
| lofi.npc vs Lee | 6–3 | 66.67% |
| lofi.npc vs Steve | 6–1 | 85.71% |
| lofi.npc vs Devil Jin | 3–4 | 42.86% |
| lofi.npc vs Kuma | 1–6 | 14.29% |
| lofi.npc vs Leroy | 4–2 | 66.67% |
| lofi.npc vs Lars | 3–2 | 60.00% |
| lofi.npc vs Alisa | 2–3 | 40.00% |
| lofi.npc vs Victor | 4–1 | 80.00% |
| lofi.npc vs Raven | 1–4 | 20.00% |
| lofi.npc vs Jack-8 | 1–3 | 25.00% |
| lofi.npc vs Claudio | 4–0 | 100.00% |
| lofi.npc vs Shaheen | 2–2 | 50.00% |
| lofi.npc vs Zafina | 2–1 | 66.67% |
| lofi.npc vs Lidia | 2–1 | 66.67% |
| lofi.npc vs Leo | 2–0 | 100.00% |
| lofi.npc vs Heihachi | 0–2 | 0.00% |
| lofi.npc vs Clive | 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.