| nUedle vs Armor King | 31–28 | 52.54% |
| nUedle vs Law | 18–10 | 64.29% |
| nUedle vs Steve | 7–13 | 35.00% |
| nUedle vs King | 13–4 | 76.47% |
| nUedle vs Kazuya | 9–7 | 56.25% |
| nUedle vs Hwoarang | 6–9 | 40.00% |
| nUedle vs Jin | 9–5 | 64.29% |
| nUedle vs Lee | 7–7 | 50.00% |
| nUedle vs Bryan | 6–7 | 46.15% |
| nUedle vs Leroy | 7–6 | 53.85% |
| nUedle vs Heihachi | 8–5 | 61.54% |
| nUedle vs Victor | 6–6 | 50.00% |
| nUedle vs Eddy | 8–4 | 66.67% |
| nUedle vs Miary Zo | 6–6 | 50.00% |
| nUedle vs Lili | 9–2 | 81.82% |
| nUedle vs Clive | 3–8 | 27.27% |
| nUedle vs Paul | 10–0 | 100.00% |
| nUedle vs Asuka | 7–2 | 77.78% |
| nUedle vs Feng | 3–6 | 33.33% |
| nUedle vs Jun | 5–4 | 55.56% |
| nUedle vs Yoshimitsu | 5–3 | 62.50% |
| nUedle vs Dragunov | 2–6 | 25.00% |
| nUedle vs Azucena | 4–4 | 50.00% |
| nUedle vs Fahkumram | 3–5 | 37.50% |
| nUedle vs Lars | 3–3 | 50.00% |
| nUedle vs Kuma | 1–5 | 16.67% |
| nUedle vs Reina | 2–4 | 33.33% |
| nUedle vs Jack-8 | 2–3 | 40.00% |
| nUedle vs Claudio | 2–3 | 40.00% |
| nUedle vs Devil Jin | 2–2 | 50.00% |
| nUedle vs Panda | 0–4 | 0.00% |
| nUedle vs Raven | 3–1 | 75.00% |
| nUedle vs Lidia | 2–2 | 50.00% |
| nUedle vs Xiaoyu | 1–2 | 33.33% |
| nUedle vs Leo | 0–3 | 0.00% |
| nUedle vs Anna | 0–3 | 0.00% |
| nUedle vs Nina | 2–0 | 100.00% |
| nUedle vs Zafina | 2–0 | 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.