| Silent_Nua vs Paul | 13–6 | 68.42% |
| Silent_Nua vs Dragunov | 11–5 | 68.75% |
| Silent_Nua vs Reina | 8–6 | 57.14% |
| Silent_Nua vs Law | 7–4 | 63.64% |
| Silent_Nua vs Jin | 8–2 | 80.00% |
| Silent_Nua vs King | 8–1 | 88.89% |
| Silent_Nua vs Heihachi | 6–3 | 66.67% |
| Silent_Nua vs Fahkumram | 7–2 | 77.78% |
| Silent_Nua vs Jack-8 | 5–3 | 62.50% |
| Silent_Nua vs Xiaoyu | 4–2 | 66.67% |
| Silent_Nua vs Nina | 4–2 | 66.67% |
| Silent_Nua vs Yoshimitsu | 3–2 | 60.00% |
| Silent_Nua vs Steve | 2–3 | 40.00% |
| Silent_Nua vs Lars | 1–4 | 20.00% |
| Silent_Nua vs Leroy | 3–2 | 60.00% |
| Silent_Nua vs Lidia | 3–2 | 60.00% |
| Silent_Nua vs Hwoarang | 4–0 | 100.00% |
| Silent_Nua vs Asuka | 4–0 | 100.00% |
| Silent_Nua vs Feng | 2–2 | 50.00% |
| Silent_Nua vs Bryan | 2–1 | 66.67% |
| Silent_Nua vs Devil Jin | 3–0 | 100.00% |
| Silent_Nua vs Raven | 1–2 | 33.33% |
| Silent_Nua vs Eddy | 1–2 | 33.33% |
| Silent_Nua vs Lili | 0–2 | 0.00% |
| Silent_Nua vs Leo | 0–2 | 0.00% |
| Silent_Nua vs Claudio | 0–2 | 0.00% |
| Silent_Nua vs Shaheen | 0–2 | 0.00% |
| Silent_Nua vs Lee | 2–0 | 100.00% |
| Silent_Nua vs Azucena | 2–0 | 100.00% |
| Silent_Nua vs Victor | 0–2 | 0.00% |
| Silent_Nua vs Clive | 2–0 | 100.00% |
| Silent_Nua vs Miary Zo | 2–0 | 100.00% |
| Silent_Nua vs Kazuya | 1–0 | 100.00% |
| Silent_Nua vs Armor King | 1–0 | 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.