| NyleRivers vs Jin | 20–12 | 62.50% |
| NyleRivers vs Steve | 19–9 | 67.86% |
| NyleRivers vs Kazuya | 18–7 | 72.00% |
| NyleRivers vs Reina | 13–11 | 54.17% |
| NyleRivers vs Hwoarang | 10–8 | 55.56% |
| NyleRivers vs Yoshimitsu | 9–6 | 60.00% |
| NyleRivers vs Asuka | 12–3 | 80.00% |
| NyleRivers vs Feng | 9–6 | 60.00% |
| NyleRivers vs Eddy | 6–9 | 40.00% |
| NyleRivers vs Paul | 6–8 | 42.86% |
| NyleRivers vs Bryan | 7–7 | 50.00% |
| NyleRivers vs Xiaoyu | 10–3 | 76.92% |
| NyleRivers vs Dragunov | 8–3 | 72.73% |
| NyleRivers vs Alisa | 8–3 | 72.73% |
| NyleRivers vs Jun | 6–5 | 54.55% |
| NyleRivers vs Lars | 4–6 | 40.00% |
| NyleRivers vs Lee | 5–5 | 50.00% |
| NyleRivers vs Zafina | 5–5 | 50.00% |
| NyleRivers vs Victor | 9–1 | 90.00% |
| NyleRivers vs Leroy | 7–2 | 77.78% |
| NyleRivers vs King | 1–7 | 12.50% |
| NyleRivers vs Raven | 2–6 | 25.00% |
| NyleRivers vs Azucena | 4–3 | 57.14% |
| NyleRivers vs Law | 3–3 | 50.00% |
| NyleRivers vs Leo | 4–1 | 80.00% |
| NyleRivers vs Shaheen | 4–1 | 80.00% |
| NyleRivers vs Nina | 3–2 | 60.00% |
| NyleRivers vs Panda | 2–2 | 50.00% |
| NyleRivers vs Kuma | 2–1 | 66.67% |
| NyleRivers vs Lidia | 2–1 | 66.67% |
| NyleRivers vs Jack-8 | 0–1 | 0.00% |
| NyleRivers vs Devil Jin | 0–1 | 0.00% |
| NyleRivers vs Lili | 0–1 | 0.00% |
| NyleRivers vs Claudio | 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.