| N8temsk8tem vs Kazuya | 58–64 | 47.54% |
| N8temsk8tem vs Reina | 47–33 | 58.75% |
| N8temsk8tem vs Jin | 45–27 | 62.50% |
| N8temsk8tem vs Bryan | 30–36 | 45.45% |
| N8temsk8tem vs King | 26–34 | 43.33% |
| N8temsk8tem vs Lidia | 23–34 | 40.35% |
| N8temsk8tem vs Lee | 27–29 | 48.21% |
| N8temsk8tem vs Hwoarang | 33–22 | 60.00% |
| N8temsk8tem vs Yoshimitsu | 19–31 | 38.00% |
| N8temsk8tem vs Lars | 19–27 | 41.30% |
| N8temsk8tem vs Paul | 17–28 | 37.78% |
| N8temsk8tem vs Clive | 24–19 | 55.81% |
| N8temsk8tem vs Steve | 24–16 | 60.00% |
| N8temsk8tem vs Eddy | 14–25 | 35.90% |
| N8temsk8tem vs Law | 15–23 | 39.47% |
| N8temsk8tem vs Lili | 17–19 | 47.22% |
| N8temsk8tem vs Dragunov | 16–19 | 45.71% |
| N8temsk8tem vs Alisa | 15–15 | 50.00% |
| N8temsk8tem vs Jun | 13–14 | 48.15% |
| N8temsk8tem vs Azucena | 12–15 | 44.44% |
| N8temsk8tem vs Victor | 17–10 | 62.96% |
| N8temsk8tem vs Raven | 15–12 | 55.56% |
| N8temsk8tem vs Feng | 13–13 | 50.00% |
| N8temsk8tem vs Nina | 16–8 | 66.67% |
| N8temsk8tem vs Asuka | 13–10 | 56.52% |
| N8temsk8tem vs Xiaoyu | 6–16 | 27.27% |
| N8temsk8tem vs Jack-8 | 7–15 | 31.82% |
| N8temsk8tem vs Leroy | 5–15 | 25.00% |
| N8temsk8tem vs Devil Jin | 7–11 | 38.89% |
| N8temsk8tem vs Leo | 12–5 | 70.59% |
| N8temsk8tem vs Kuma | 3–8 | 27.27% |
| N8temsk8tem vs Shaheen | 4–6 | 40.00% |
| N8temsk8tem vs Claudio | 1–5 | 16.67% |
| N8temsk8tem vs Heihachi | 4–2 | 66.67% |
| N8temsk8tem vs Panda | 2–2 | 50.00% |
| N8temsk8tem vs Zafina | 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.