| necoleaf vs Reina | 18–25 | 41.86% |
| necoleaf vs Hwoarang | 18–21 | 46.15% |
| necoleaf vs King | 13–24 | 35.14% |
| necoleaf vs Bryan | 15–17 | 46.88% |
| necoleaf vs Yoshimitsu | 11–19 | 36.67% |
| necoleaf vs Jin | 6–24 | 20.00% |
| necoleaf vs Steve | 14–14 | 50.00% |
| necoleaf vs Heihachi | 5–21 | 19.23% |
| necoleaf vs Lidia | 10–15 | 40.00% |
| necoleaf vs Law | 5–17 | 22.73% |
| necoleaf vs Xiaoyu | 12–7 | 63.16% |
| necoleaf vs Kazuya | 5–14 | 26.32% |
| necoleaf vs Alisa | 7–12 | 36.84% |
| necoleaf vs Jun | 9–10 | 47.37% |
| necoleaf vs Claudio | 3–13 | 18.75% |
| necoleaf vs Leroy | 8–8 | 50.00% |
| necoleaf vs Asuka | 5–10 | 33.33% |
| necoleaf vs Dragunov | 3–12 | 20.00% |
| necoleaf vs Lee | 4–10 | 28.57% |
| necoleaf vs Azucena | 6–8 | 42.86% |
| necoleaf vs Lars | 8–5 | 61.54% |
| necoleaf vs Feng | 3–9 | 25.00% |
| necoleaf vs Eddy | 4–8 | 33.33% |
| necoleaf vs Jack-8 | 5–6 | 45.45% |
| necoleaf vs Lili | 3–8 | 27.27% |
| necoleaf vs Paul | 5–5 | 50.00% |
| necoleaf vs Kuma | 4–5 | 44.44% |
| necoleaf vs Devil Jin | 3–5 | 37.50% |
| necoleaf vs Nina | 5–3 | 62.50% |
| necoleaf vs Zafina | 2–6 | 25.00% |
| necoleaf vs Leo | 4–3 | 57.14% |
| necoleaf vs Shaheen | 3–4 | 42.86% |
| necoleaf vs Raven | 0–6 | 0.00% |
| necoleaf vs Victor | 1–4 | 20.00% |
| necoleaf vs Panda | 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.