| NedPT vs Kazuya | 27–11 | 71.05% |
| NedPT vs Bryan | 17–17 | 50.00% |
| NedPT vs Lars | 25–9 | 73.53% |
| NedPT vs Devil Jin | 19–12 | 61.29% |
| NedPT vs King | 21–9 | 70.00% |
| NedPT vs Steve | 13–17 | 43.33% |
| NedPT vs Paul | 18–6 | 75.00% |
| NedPT vs Law | 16–8 | 66.67% |
| NedPT vs Lili | 17–7 | 70.83% |
| NedPT vs Jin | 18–4 | 81.82% |
| NedPT vs Nina | 14–7 | 66.67% |
| NedPT vs Jun | 16–5 | 76.19% |
| NedPT vs Yoshimitsu | 15–5 | 75.00% |
| NedPT vs Xiaoyu | 12–8 | 60.00% |
| NedPT vs Lee | 14–5 | 73.68% |
| NedPT vs Reina | 13–6 | 68.42% |
| NedPT vs Hwoarang | 13–5 | 72.22% |
| NedPT vs Heihachi | 11–7 | 61.11% |
| NedPT vs Lidia | 11–6 | 64.71% |
| NedPT vs Clive | 13–4 | 76.47% |
| NedPT vs Armor King | 10–6 | 62.50% |
| NedPT vs Asuka | 11–4 | 73.33% |
| NedPT vs Eddy | 7–5 | 58.33% |
| NedPT vs Zafina | 5–6 | 45.45% |
| NedPT vs Jack-8 | 8–2 | 80.00% |
| NedPT vs Dragunov | 10–0 | 100.00% |
| NedPT vs Leroy | 5–4 | 55.56% |
| NedPT vs Azucena | 7–2 | 77.78% |
| NedPT vs Claudio | 3–5 | 37.50% |
| NedPT vs Fahkumram | 2–6 | 25.00% |
| NedPT vs Panda | 3–4 | 42.86% |
| NedPT vs Raven | 6–1 | 85.71% |
| NedPT vs Feng | 5–1 | 83.33% |
| NedPT vs Alisa | 3–2 | 60.00% |
| NedPT vs Kuma | 4–1 | 80.00% |
| NedPT vs Anna | 3–0 | 100.00% |
| NedPT vs Leo | 2–0 | 100.00% |
| NedPT vs Victor | 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.