| Pxrno vs King | 26–19 | 57.78% |
| Pxrno vs Jin | 20–19 | 51.28% |
| Pxrno vs Law | 19–15 | 55.88% |
| Pxrno vs Hwoarang | 19–11 | 63.33% |
| Pxrno vs Bryan | 18–11 | 62.07% |
| Pxrno vs Steve | 8–20 | 28.57% |
| Pxrno vs Kazuya | 12–13 | 48.00% |
| Pxrno vs Jun | 11–13 | 45.83% |
| Pxrno vs Eddy | 11–12 | 47.83% |
| Pxrno vs Reina | 10–10 | 50.00% |
| Pxrno vs Yoshimitsu | 12–7 | 63.16% |
| Pxrno vs Dragunov | 8–11 | 42.11% |
| Pxrno vs Azucena | 10–9 | 52.63% |
| Pxrno vs Asuka | 12–6 | 66.67% |
| Pxrno vs Victor | 12–5 | 70.59% |
| Pxrno vs Heihachi | 9–7 | 56.25% |
| Pxrno vs Lars | 6–9 | 40.00% |
| Pxrno vs Lili | 7–6 | 53.85% |
| Pxrno vs Jack-8 | 7–5 | 58.33% |
| Pxrno vs Devil Jin | 7–5 | 58.33% |
| Pxrno vs Leo | 6–5 | 54.55% |
| Pxrno vs Lee | 8–3 | 72.73% |
| Pxrno vs Raven | 6–5 | 54.55% |
| Pxrno vs Feng | 7–3 | 70.00% |
| Pxrno vs Claudio | 4–6 | 40.00% |
| Pxrno vs Kuma | 5–4 | 55.56% |
| Pxrno vs Lidia | 3–6 | 33.33% |
| Pxrno vs Nina | 4–4 | 50.00% |
| Pxrno vs Armor King | 7–1 | 87.50% |
| Pxrno vs Miary Zo | 1–6 | 14.29% |
| Pxrno vs Xiaoyu | 5–1 | 83.33% |
| Pxrno vs Paul | 2–2 | 50.00% |
| Pxrno vs Alisa | 3–1 | 75.00% |
| Pxrno vs Zafina | 1–2 | 33.33% |
| Pxrno vs Leroy | 0–3 | 0.00% |
| Pxrno vs Fahkumram | 1–2 | 33.33% |
| Pxrno vs Shaheen | 2–0 | 100.00% |
| Pxrno vs Anna | 2–0 | 100.00% |
| Pxrno vs Clive | 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.