| NileasAran vs Kazuya | 75–46 | 61.98% |
| NileasAran vs Jin | 50–32 | 60.98% |
| NileasAran vs King | 52–20 | 72.22% |
| NileasAran vs Bryan | 33–27 | 55.00% |
| NileasAran vs Law | 36–17 | 67.92% |
| NileasAran vs Reina | 27–25–1 | 51.92% |
| NileasAran vs Lidia | 40–13 | 75.47% |
| NileasAran vs Hwoarang | 32–17 | 65.31% |
| NileasAran vs Paul | 22–26 | 45.83% |
| NileasAran vs Fahkumram | 27–18 | 60.00% |
| NileasAran vs Heihachi | 25–19 | 56.82% |
| NileasAran vs Steve | 21–21 | 50.00% |
| NileasAran vs Yoshimitsu | 25–15 | 62.50% |
| NileasAran vs Lili | 22–18 | 55.00% |
| NileasAran vs Dragunov | 24–16 | 60.00% |
| NileasAran vs Clive | 23–15 | 60.53% |
| NileasAran vs Devil Jin | 20–14 | 58.82% |
| NileasAran vs Lee | 16–14 | 53.33% |
| NileasAran vs Jun | 22–8 | 73.33% |
| NileasAran vs Alisa | 17–6 | 73.91% |
| NileasAran vs Nina | 18–5 | 78.26% |
| NileasAran vs Lars | 17–5 | 77.27% |
| NileasAran vs Eddy | 13–9 | 59.09% |
| NileasAran vs Azucena | 12–9 | 57.14% |
| NileasAran vs Xiaoyu | 10–10 | 50.00% |
| NileasAran vs Armor King | 4–15 | 21.05% |
| NileasAran vs Jack-8 | 12–6 | 66.67% |
| NileasAran vs Shaheen | 12–4 | 75.00% |
| NileasAran vs Leroy | 8–8 | 50.00% |
| NileasAran vs Victor | 9–7 | 56.25% |
| NileasAran vs Feng | 10–5 | 66.67% |
| NileasAran vs Raven | 7–8 | 46.67% |
| NileasAran vs Asuka | 5–9 | 35.71% |
| NileasAran vs Claudio | 9–5 | 64.29% |
| NileasAran vs Anna | 7–6 | 53.85% |
| NileasAran vs Kuma | 7–5 | 58.33% |
| NileasAran vs Leo | 4–5 | 44.44% |
| NileasAran vs Zafina | 5–4 | 55.56% |
| NileasAran vs Miary Zo | 3–1 | 75.00% |
| NileasAran vs Panda | 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.