| N9iNE vs Clive | 45–24 | 65.22% |
| N9iNE vs Law | 26–13 | 66.67% |
| N9iNE vs Kazuya | 31–7 | 81.58% |
| N9iNE vs Reina | 29–9 | 76.32% |
| N9iNE vs Steve | 18–15 | 54.55% |
| N9iNE vs Lili | 18–14 | 56.25% |
| N9iNE vs King | 17–7 | 70.83% |
| N9iNE vs Paul | 14–8 | 63.64% |
| N9iNE vs Jin | 13–8 | 61.90% |
| N9iNE vs Azucena | 12–9 | 57.14% |
| N9iNE vs Yoshimitsu | 9–9 | 50.00% |
| N9iNE vs Leo | 9–8 | 52.94% |
| N9iNE vs Devil Jin | 12–4 | 75.00% |
| N9iNE vs Hwoarang | 7–8 | 46.67% |
| N9iNE vs Eddy | 6–9 | 40.00% |
| N9iNE vs Lidia | 7–8 | 46.67% |
| N9iNE vs Bryan | 8–6 | 57.14% |
| N9iNE vs Dragunov | 10–4 | 71.43% |
| N9iNE vs Heihachi | 5–9 | 35.71% |
| N9iNE vs Jun | 7–6 | 53.85% |
| N9iNE vs Alisa | 7–4 | 63.64% |
| N9iNE vs Nina | 6–5 | 54.55% |
| N9iNE vs Lee | 8–3 | 72.73% |
| N9iNE vs Zafina | 10–1 | 90.91% |
| N9iNE vs Asuka | 6–4 | 60.00% |
| N9iNE vs Claudio | 5–5 | 50.00% |
| N9iNE vs Leroy | 7–3 | 70.00% |
| N9iNE vs Xiaoyu | 6–1 | 85.71% |
| N9iNE vs Feng | 4–3 | 57.14% |
| N9iNE vs Lars | 5–2 | 71.43% |
| N9iNE vs Victor | 2–4 | 33.33% |
| N9iNE vs Panda | 4–1 | 80.00% |
| N9iNE vs Raven | 3–2 | 60.00% |
| N9iNE vs Jack-8 | 4–0 | 100.00% |
| N9iNE vs Armor King | 4–0 | 100.00% |
| N9iNE vs Miary Zo | 3–0 | 100.00% |
| N9iNE vs Shaheen | 2–0 | 100.00% |
| N9iNE vs Kuma | 0–2 | 0.00% |
| N9iNE vs Fahkumram | 2–0 | 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.