| TGZ_Niko vs Kazuya | 57–72 | 44.19% |
| TGZ_Niko vs Jin | 52–61 | 46.02% |
| TGZ_Niko vs Bryan | 48–56–1 | 46.15% |
| TGZ_Niko vs Hwoarang | 40–61 | 39.60% |
| TGZ_Niko vs Eddy | 44–55 | 44.44% |
| TGZ_Niko vs Law | 45–52 | 46.39% |
| TGZ_Niko vs Reina | 39–54 | 41.94% |
| TGZ_Niko vs King | 42–48 | 46.67% |
| TGZ_Niko vs Steve | 31–47 | 39.74% |
| TGZ_Niko vs Dragunov | 31–38 | 44.93% |
| TGZ_Niko vs Yoshimitsu | 32–35 | 47.76% |
| TGZ_Niko vs Paul | 27–38 | 41.54% |
| TGZ_Niko vs Azucena | 25–34 | 42.37% |
| TGZ_Niko vs Lili | 36–22 | 62.07% |
| TGZ_Niko vs Alisa | 28–29 | 49.12% |
| TGZ_Niko vs Clive | 22–31 | 41.51% |
| TGZ_Niko vs Devil Jin | 23–20 | 53.49% |
| TGZ_Niko vs Jun | 18–25 | 41.86% |
| TGZ_Niko vs Heihachi | 20–22 | 47.62% |
| TGZ_Niko vs Asuka | 19–20 | 48.72% |
| TGZ_Niko vs Nina | 18–20 | 47.37% |
| TGZ_Niko vs Lars | 14–23 | 37.84% |
| TGZ_Niko vs Lee | 17–20 | 45.95% |
| TGZ_Niko vs Feng | 13–22 | 37.14% |
| TGZ_Niko vs Victor | 14–19 | 42.42% |
| TGZ_Niko vs Xiaoyu | 16–13 | 55.17% |
| TGZ_Niko vs Claudio | 6–20 | 23.08% |
| TGZ_Niko vs Leo | 8–16 | 33.33% |
| TGZ_Niko vs Leroy | 13–10 | 56.52% |
| TGZ_Niko vs Lidia | 7–16 | 30.43% |
| TGZ_Niko vs Jack-8 | 8–11 | 42.11% |
| TGZ_Niko vs Raven | 5–13 | 27.78% |
| TGZ_Niko vs Kuma | 4–13 | 23.53% |
| TGZ_Niko vs Shaheen | 8–5 | 61.54% |
| TGZ_Niko vs Panda | 6–6 | 50.00% |
| TGZ_Niko vs Fahkumram | 5–7 | 41.67% |
| TGZ_Niko vs Zafina | 3–5 | 37.50% |
| TGZ_Niko vs Miary Zo | 2–4 | 33.33% |
| TGZ_Niko vs Anna | 3–1 | 75.00% |
| TGZ_Niko vs Armor King | 1–2 | 33.33% |
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.