| Nicho vs Jin | 13–18 | 41.94% |
| Nicho vs Steve | 18–11 | 62.07% |
| Nicho vs Bryan | 10–14 | 41.67% |
| Nicho vs Kazuya | 14–10 | 58.33% |
| Nicho vs Hwoarang | 13–9 | 59.09% |
| Nicho vs Law | 11–8 | 57.89% |
| Nicho vs Reina | 12–6 | 66.67% |
| Nicho vs Lili | 12–5 | 70.59% |
| Nicho vs Lee | 7–9 | 43.75% |
| Nicho vs Eddy | 11–5 | 68.75% |
| Nicho vs Devil Jin | 7–8 | 46.67% |
| Nicho vs Jun | 2–12 | 14.29% |
| Nicho vs Paul | 6–7 | 46.15% |
| Nicho vs King | 5–8 | 38.46% |
| Nicho vs Fahkumram | 6–6 | 50.00% |
| Nicho vs Jack-8 | 5–6 | 45.45% |
| Nicho vs Lars | 6–4 | 60.00% |
| Nicho vs Lidia | 3–7 | 30.00% |
| Nicho vs Dragunov | 8–1 | 88.89% |
| Nicho vs Xiaoyu | 5–3 | 62.50% |
| Nicho vs Alisa | 5–3 | 62.50% |
| Nicho vs Nina | 5–3 | 62.50% |
| Nicho vs Asuka | 3–4 | 42.86% |
| Nicho vs Claudio | 3–4 | 42.86% |
| Nicho vs Azucena | 7–0 | 100.00% |
| Nicho vs Yoshimitsu | 4–2 | 66.67% |
| Nicho vs Victor | 5–1 | 83.33% |
| Nicho vs Zafina | 5–0 | 100.00% |
| Nicho vs Leroy | 2–3 | 40.00% |
| Nicho vs Clive | 5–0 | 100.00% |
| Nicho vs Miary Zo | 2–3 | 40.00% |
| Nicho vs Kuma | 3–1 | 75.00% |
| Nicho vs Heihachi | 2–2 | 50.00% |
| Nicho vs Feng | 2–1 | 66.67% |
| Nicho vs Anna | 0–3 | 0.00% |
| Nicho vs Shaheen | 2–0 | 100.00% |
| Nicho vs Raven | 1–1 | 50.00% |
| Nicho vs Armor King | 1–1 | 50.00% |
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.