| Nan Iranel vs Jin | 64–53 | 54.70% |
| Nan Iranel vs Kazuya | 48–65 | 42.48% |
| Nan Iranel vs Reina | 51–32 | 61.45% |
| Nan Iranel vs King | 45–36 | 55.56% |
| Nan Iranel vs Steve | 33–33 | 50.00% |
| Nan Iranel vs Bryan | 21–41 | 33.87% |
| Nan Iranel vs Devil Jin | 26–28 | 48.15% |
| Nan Iranel vs Heihachi | 27–27 | 50.00% |
| Nan Iranel vs Dragunov | 24–23 | 51.06% |
| Nan Iranel vs Yoshimitsu | 16–30 | 34.78% |
| Nan Iranel vs Law | 24–18 | 57.14% |
| Nan Iranel vs Paul | 15–22 | 40.54% |
| Nan Iranel vs Nina | 11–24 | 31.43% |
| Nan Iranel vs Hwoarang | 16–15 | 51.61% |
| Nan Iranel vs Lili | 10–19 | 34.48% |
| Nan Iranel vs Armor King | 12–16 | 42.86% |
| Nan Iranel vs Asuka | 7–20 | 25.93% |
| Nan Iranel vs Lars | 12–15 | 44.44% |
| Nan Iranel vs Lee | 10–17 | 37.04% |
| Nan Iranel vs Jun | 12–13 | 48.00% |
| Nan Iranel vs Feng | 9–15 | 37.50% |
| Nan Iranel vs Victor | 14–10 | 58.33% |
| Nan Iranel vs Eddy | 13–9 | 59.09% |
| Nan Iranel vs Clive | 7–14 | 33.33% |
| Nan Iranel vs Anna | 7–14 | 33.33% |
| Nan Iranel vs Jack-8 | 11–9 | 55.00% |
| Nan Iranel vs Lidia | 13–7 | 65.00% |
| Nan Iranel vs Claudio | 9–10 | 47.37% |
| Nan Iranel vs Fahkumram | 12–7 | 63.16% |
| Nan Iranel vs Xiaoyu | 8–10 | 44.44% |
| Nan Iranel vs Leo | 7–11 | 38.89% |
| Nan Iranel vs Alisa | 9–8 | 52.94% |
| Nan Iranel vs Azucena | 7–7 | 50.00% |
| Nan Iranel vs Raven | 3–10 | 23.08% |
| Nan Iranel vs Leroy | 4–7 | 36.36% |
| Nan Iranel vs Shaheen | 2–7 | 22.22% |
| Nan Iranel vs Kuma | 2–1 | 66.67% |
| Nan Iranel vs Miary Zo | 2–1 | 66.67% |
| Nan Iranel vs Panda | 0–2 | 0.00% |
| Nan Iranel vs Zafina | 0–2 | 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.