| PiilleeZ vs Lars | 42–31 | 57.53% |
| PiilleeZ vs King | 48–21 | 69.57% |
| PiilleeZ vs Jin | 46–23 | 66.67% |
| PiilleeZ vs Kazuya | 38–21 | 64.41% |
| PiilleeZ vs Lee | 37–21 | 63.79% |
| PiilleeZ vs Hwoarang | 37–17 | 68.52% |
| PiilleeZ vs Dragunov | 31–23 | 57.41% |
| PiilleeZ vs Anna | 18–25 | 41.86% |
| PiilleeZ vs Steve | 22–18 | 55.00% |
| PiilleeZ vs Paul | 31–8 | 79.49% |
| PiilleeZ vs Law | 16–21 | 43.24% |
| PiilleeZ vs Devil Jin | 26–11 | 70.27% |
| PiilleeZ vs Heihachi | 22–13 | 62.86% |
| PiilleeZ vs Reina | 20–12 | 62.50% |
| PiilleeZ vs Yoshimitsu | 20–11 | 64.52% |
| PiilleeZ vs Zafina | 18–11 | 62.07% |
| PiilleeZ vs Bryan | 18–10 | 64.29% |
| PiilleeZ vs Nina | 21–7 | 75.00% |
| PiilleeZ vs Raven | 18–10 | 64.29% |
| PiilleeZ vs Armor King | 17–11 | 60.71% |
| PiilleeZ vs Lili | 15–12 | 55.56% |
| PiilleeZ vs Claudio | 14–12 | 53.85% |
| PiilleeZ vs Jun | 17–9 | 65.38% |
| PiilleeZ vs Jack-8 | 13–12 | 52.00% |
| PiilleeZ vs Feng | 16–8 | 66.67% |
| PiilleeZ vs Xiaoyu | 17–6 | 73.91% |
| PiilleeZ vs Asuka | 15–6 | 71.43% |
| PiilleeZ vs Alisa | 11–8 | 57.89% |
| PiilleeZ vs Victor | 13–5 | 72.22% |
| PiilleeZ vs Lidia | 13–5 | 72.22% |
| PiilleeZ vs Leo | 8–8 | 50.00% |
| PiilleeZ vs Shaheen | 8–7 | 53.33% |
| PiilleeZ vs Leroy | 9–5 | 64.29% |
| PiilleeZ vs Clive | 11–3 | 78.57% |
| PiilleeZ vs Eddy | 7–6 | 53.85% |
| PiilleeZ vs Azucena | 7–2 | 77.78% |
| PiilleeZ vs Kuma | 4–3 | 57.14% |
| PiilleeZ vs Miary Zo | 1–5 | 16.67% |
| PiilleeZ vs Panda | 4–0 | 100.00% |
| PiilleeZ vs Fahkumram | 0–2 | 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.