| nutamn vs King | 36–19 | 65.45% |
| nutamn vs Reina | 27–25 | 51.92% |
| nutamn vs Kazuya | 20–30 | 40.00% |
| nutamn vs Dragunov | 13–23 | 36.11% |
| nutamn vs Asuka | 15–20 | 42.86% |
| nutamn vs Yoshimitsu | 17–15 | 53.12% |
| nutamn vs Steve | 19–13 | 59.38% |
| nutamn vs Jin | 11–20 | 35.48% |
| nutamn vs Law | 10–19 | 34.48% |
| nutamn vs Jun | 10–19 | 34.48% |
| nutamn vs Azucena | 15–14 | 51.72% |
| nutamn vs Nina | 6–18 | 25.00% |
| nutamn vs Paul | 4–15 | 21.05% |
| nutamn vs Lidia | 11–8 | 57.89% |
| nutamn vs Devil Jin | 6–11 | 35.29% |
| nutamn vs Bryan | 10–6 | 62.50% |
| nutamn vs Lars | 10–6 | 62.50% |
| nutamn vs Feng | 7–8 | 46.67% |
| nutamn vs Alisa | 8–7 | 53.33% |
| nutamn vs Lili | 3–11 | 21.43% |
| nutamn vs Claudio | 10–3 | 76.92% |
| nutamn vs Eddy | 5–8 | 38.46% |
| nutamn vs Victor | 3–9 | 25.00% |
| nutamn vs Hwoarang | 1–10 | 9.09% |
| nutamn vs Lee | 9–2 | 81.82% |
| nutamn vs Heihachi | 8–3 | 72.73% |
| nutamn vs Leo | 4–6 | 40.00% |
| nutamn vs Xiaoyu | 3–5 | 37.50% |
| nutamn vs Raven | 2–6 | 25.00% |
| nutamn vs Miary Zo | 6–1 | 85.71% |
| nutamn vs Kuma | 3–2 | 60.00% |
| nutamn vs Panda | 2–3 | 40.00% |
| nutamn vs Jack-8 | 0–4 | 0.00% |
| nutamn vs Clive | 0–4 | 0.00% |
| nutamn vs Armor King | 2–1 | 66.67% |
| nutamn vs Leroy | 2–0 | 100.00% |
| nutamn vs Zafina | 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.