| NheIIy vs Eddy | 18–28 | 39.13% |
| NheIIy vs Jin | 21–23 | 47.73% |
| NheIIy vs King | 17–21 | 44.74% |
| NheIIy vs Hwoarang | 15–16 | 48.39% |
| NheIIy vs Kazuya | 13–17 | 43.33% |
| NheIIy vs Reina | 20–10 | 66.67% |
| NheIIy vs Steve | 19–10 | 65.52% |
| NheIIy vs Azucena | 17–12 | 58.62% |
| NheIIy vs Bryan | 15–13 | 53.57% |
| NheIIy vs Yoshimitsu | 16–10 | 61.54% |
| NheIIy vs Lili | 11–15 | 42.31% |
| NheIIy vs Asuka | 9–16 | 36.00% |
| NheIIy vs Lars | 10–14 | 41.67% |
| NheIIy vs Victor | 11–13 | 45.83% |
| NheIIy vs Jun | 13–9 | 59.09% |
| NheIIy vs Dragunov | 14–7 | 66.67% |
| NheIIy vs Fahkumram | 10–9 | 52.63% |
| NheIIy vs Xiaoyu | 9–9 | 50.00% |
| NheIIy vs Law | 9–8 | 52.94% |
| NheIIy vs Lee | 8–9 | 47.06% |
| NheIIy vs Heihachi | 8–7 | 53.33% |
| NheIIy vs Paul | 5–6 | 45.45% |
| NheIIy vs Leo | 8–3 | 72.73% |
| NheIIy vs Leroy | 6–5 | 54.55% |
| NheIIy vs Lidia | 6–5 | 54.55% |
| NheIIy vs Alisa | 3–7 | 30.00% |
| NheIIy vs Kuma | 5–5 | 50.00% |
| NheIIy vs Jack-8 | 5–4 | 55.56% |
| NheIIy vs Claudio | 6–3 | 66.67% |
| NheIIy vs Nina | 5–3 | 62.50% |
| NheIIy vs Devil Jin | 4–3 | 57.14% |
| NheIIy vs Zafina | 5–1 | 83.33% |
| NheIIy vs Feng | 1–4 | 20.00% |
| NheIIy vs Panda | 1–4 | 20.00% |
| NheIIy vs Shaheen | 3–1 | 75.00% |
| NheIIy vs Anna | 3–1 | 75.00% |
| NheIIy vs Raven | 1–1 | 50.00% |
| NheIIy vs Clive | 0–2 | 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.