| NZ_SLAYER vs Kazuya | 31–29 | 51.67% |
| NZ_SLAYER vs King | 21–24 | 46.67% |
| NZ_SLAYER vs Heihachi | 25–12 | 67.57% |
| NZ_SLAYER vs Jin | 20–14 | 58.82% |
| NZ_SLAYER vs Reina | 18–16 | 52.94% |
| NZ_SLAYER vs Dragunov | 18–15 | 54.55% |
| NZ_SLAYER vs Bryan | 11–20 | 35.48% |
| NZ_SLAYER vs Law | 16–12 | 57.14% |
| NZ_SLAYER vs Steve | 14–14 | 50.00% |
| NZ_SLAYER vs Paul | 14–11 | 56.00% |
| NZ_SLAYER vs Hwoarang | 18–7 | 72.00% |
| NZ_SLAYER vs Leo | 9–4 | 69.23% |
| NZ_SLAYER vs Xiaoyu | 9–2 | 81.82% |
| NZ_SLAYER vs Victor | 7–3 | 70.00% |
| NZ_SLAYER vs Clive | 7–3 | 70.00% |
| NZ_SLAYER vs Yoshimitsu | 6–3 | 66.67% |
| NZ_SLAYER vs Fahkumram | 6–3 | 66.67% |
| NZ_SLAYER vs Lili | 5–3 | 62.50% |
| NZ_SLAYER vs Nina | 4–4 | 50.00% |
| NZ_SLAYER vs Azucena | 4–4 | 50.00% |
| NZ_SLAYER vs Kuma | 3–3 | 50.00% |
| NZ_SLAYER vs Jun | 4–2 | 66.67% |
| NZ_SLAYER vs Claudio | 1–4 | 20.00% |
| NZ_SLAYER vs Lee | 4–1 | 80.00% |
| NZ_SLAYER vs Eddy | 5–0 | 100.00% |
| NZ_SLAYER vs Jack-8 | 1–3 | 25.00% |
| NZ_SLAYER vs Feng | 3–1 | 75.00% |
| NZ_SLAYER vs Alisa | 2–2 | 50.00% |
| NZ_SLAYER vs Shaheen | 3–1 | 75.00% |
| NZ_SLAYER vs Asuka | 2–1 | 66.67% |
| NZ_SLAYER vs Devil Jin | 2–1 | 66.67% |
| NZ_SLAYER vs Lars | 2–0 | 100.00% |
| NZ_SLAYER vs Lidia | 2–0 | 100.00% |
| NZ_SLAYER vs Zafina | 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.