| NZXT vs Jin | 18–20 | 47.37% |
| NZXT vs Paul | 19–17 | 52.78% |
| NZXT vs Dragunov | 15–20 | 42.86% |
| NZXT vs Reina | 16–14 | 53.33% |
| NZXT vs King | 11–18 | 37.93% |
| NZXT vs Hwoarang | 14–15 | 48.28% |
| NZXT vs Bryan | 15–14 | 51.72% |
| NZXT vs Kazuya | 14–14 | 50.00% |
| NZXT vs Steve | 7–15 | 31.82% |
| NZXT vs Law | 7–13 | 35.00% |
| NZXT vs Asuka | 6–14 | 30.00% |
| NZXT vs Devil Jin | 11–9 | 55.00% |
| NZXT vs Lili | 7–11 | 38.89% |
| NZXT vs Leo | 11–7 | 61.11% |
| NZXT vs Alisa | 5–13 | 27.78% |
| NZXT vs Yoshimitsu | 9–5 | 64.29% |
| NZXT vs Azucena | 9–5 | 64.29% |
| NZXT vs Lee | 5–8 | 38.46% |
| NZXT vs Victor | 6–7 | 46.15% |
| NZXT vs Jun | 4–7 | 36.36% |
| NZXT vs Lidia | 3–8 | 27.27% |
| NZXT vs Xiaoyu | 4–6 | 40.00% |
| NZXT vs Clive | 6–4 | 60.00% |
| NZXT vs Feng | 4–5 | 44.44% |
| NZXT vs Leroy | 3–5 | 37.50% |
| NZXT vs Claudio | 5–2 | 71.43% |
| NZXT vs Nina | 2–5 | 28.57% |
| NZXT vs Eddy | 2–5 | 28.57% |
| NZXT vs Heihachi | 2–4 | 33.33% |
| NZXT vs Lars | 2–3 | 40.00% |
| NZXT vs Panda | 1–4 | 20.00% |
| NZXT vs Jack-8 | 2–2 | 50.00% |
| NZXT vs Shaheen | 0–4 | 0.00% |
| NZXT vs Zafina | 4–0 | 100.00% |
| NZXT vs Raven | 1–3 | 25.00% |
| NZXT vs Armor King | 1–2 | 33.33% |
| NZXT vs Kuma | 1–1 | 50.00% |
| NZXT vs Anna | 1–1 | 50.00% |
| NZXT 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.