| NPM072 vs Jin | 19–10 | 65.52% |
| NPM072 vs Hwoarang | 12–11 | 52.17% |
| NPM072 vs King | 10–11 | 47.62% |
| NPM072 vs Law | 13–4 | 76.47% |
| NPM072 vs Kazuya | 10–7 | 58.82% |
| NPM072 vs Asuka | 6–4 | 60.00% |
| NPM072 vs Eddy | 5–5 | 50.00% |
| NPM072 vs Azucena | 6–3 | 66.67% |
| NPM072 vs Xiaoyu | 5–3 | 62.50% |
| NPM072 vs Dragunov | 4–4 | 50.00% |
| NPM072 vs Jun | 6–2 | 75.00% |
| NPM072 vs Paul | 3–4 | 42.86% |
| NPM072 vs Steve | 5–2 | 71.43% |
| NPM072 vs Feng | 6–1 | 85.71% |
| NPM072 vs Lili | 4–3 | 57.14% |
| NPM072 vs Leroy | 5–2 | 71.43% |
| NPM072 vs Victor | 1–6 | 14.29% |
| NPM072 vs Yoshimitsu | 2–4 | 33.33% |
| NPM072 vs Bryan | 3–3 | 50.00% |
| NPM072 vs Alisa | 2–4 | 33.33% |
| NPM072 vs Devil Jin | 3–2 | 60.00% |
| NPM072 vs Lars | 3–2 | 60.00% |
| NPM072 vs Nina | 5–0 | 100.00% |
| NPM072 vs Clive | 3–2 | 60.00% |
| NPM072 vs Fahkumram | 2–3 | 40.00% |
| NPM072 vs Lidia | 1–3 | 25.00% |
| NPM072 vs Reina | 2–1 | 66.67% |
| NPM072 vs Heihachi | 3–0 | 100.00% |
| NPM072 vs Jack-8 | 1–1 | 50.00% |
| NPM072 vs Claudio | 2–0 | 100.00% |
| NPM072 vs Leo | 0–1 | 0.00% |
| NPM072 vs Shaheen | 0–1 | 0.00% |
| NPM072 vs Lee | 1–0 | 100.00% |
| NPM072 vs Kuma | 0–1 | 0.00% |
| NPM072 vs Panda | 0–1 | 0.00% |
| NPM072 vs Raven | 0–1 | 0.00% |
| NPM072 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.