| Neardass vs King | 15–17 | 46.88% |
| Neardass vs Law | 17–14 | 54.84% |
| Neardass vs Eddy | 11–14 | 44.00% |
| Neardass vs Jin | 12–10 | 54.55% |
| Neardass vs Hwoarang | 11–8 | 57.89% |
| Neardass vs Kazuya | 11–7 | 61.11% |
| Neardass vs Steve | 11–6 | 64.71% |
| Neardass vs Reina | 11–5 | 68.75% |
| Neardass vs Paul | 7–4 | 63.64% |
| Neardass vs Yoshimitsu | 6–5 | 54.55% |
| Neardass vs Asuka | 7–4 | 63.64% |
| Neardass vs Victor | 5–6 | 45.45% |
| Neardass vs Devil Jin | 7–3 | 70.00% |
| Neardass vs Lili | 8–0 | 100.00% |
| Neardass vs Bryan | 4–3 | 57.14% |
| Neardass vs Lars | 5–2 | 71.43% |
| Neardass vs Jun | 6–1 | 85.71% |
| Neardass vs Azucena | 3–4 | 42.86% |
| Neardass vs Alisa | 3–3 | 50.00% |
| Neardass vs Claudio | 3–3 | 50.00% |
| Neardass vs Nina | 3–3 | 50.00% |
| Neardass vs Miary Zo | 1–5 | 16.67% |
| Neardass vs Jack-8 | 1–4 | 20.00% |
| Neardass vs Dragunov | 1–3 | 25.00% |
| Neardass vs Lee | 2–2 | 50.00% |
| Neardass vs Kuma | 4–0 | 100.00% |
| Neardass vs Leroy | 1–3 | 25.00% |
| Neardass vs Anna | 2–2 | 50.00% |
| Neardass vs Armor King | 4–0 | 100.00% |
| Neardass vs Xiaoyu | 2–1 | 66.67% |
| Neardass vs Leo | 2–1 | 66.67% |
| Neardass vs Shaheen | 2–1 | 66.67% |
| Neardass vs Lidia | 2–0 | 100.00% |
| Neardass vs Clive | 0–2 | 0.00% |
| Neardass vs Zafina | 1–0 | 100.00% |
| Neardass vs Heihachi | 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.