| Pytis vs King | 26–39 | 40.00% |
| Pytis vs Reina | 19–30 | 38.78% |
| Pytis vs Hwoarang | 16–28 | 36.36% |
| Pytis vs Steve | 14–26 | 35.00% |
| Pytis vs Jin | 11–28 | 28.21% |
| Pytis vs Law | 14–19 | 42.42% |
| Pytis vs Lili | 10–23 | 30.30% |
| Pytis vs Victor | 6–23 | 20.69% |
| Pytis vs Kazuya | 6–22 | 21.43% |
| Pytis vs Jun | 8–19 | 29.63% |
| Pytis vs Anna | 7–18 | 28.00% |
| Pytis vs Nina | 8–16 | 33.33% |
| Pytis vs Clive | 10–13 | 43.48% |
| Pytis vs Bryan | 10–12 | 45.45% |
| Pytis vs Leroy | 7–14 | 33.33% |
| Pytis vs Alisa | 4–16 | 20.00% |
| Pytis vs Eddy | 6–12 | 33.33% |
| Pytis vs Dragunov | 1–15 | 6.25% |
| Pytis vs Lars | 3–13 | 18.75% |
| Pytis vs Paul | 3–12 | 20.00% |
| Pytis vs Xiaoyu | 3–11 | 21.43% |
| Pytis vs Asuka | 1–13 | 7.14% |
| Pytis vs Lee | 7–7 | 50.00% |
| Pytis vs Azucena | 6–8 | 42.86% |
| Pytis vs Yoshimitsu | 5–8 | 38.46% |
| Pytis vs Devil Jin | 3–10 | 23.08% |
| Pytis vs Heihachi | 2–11 | 15.38% |
| Pytis vs Armor King | 4–8 | 33.33% |
| Pytis vs Feng | 4–7 | 36.36% |
| Pytis vs Lidia | 5–6 | 45.45% |
| Pytis vs Claudio | 0–6 | 0.00% |
| Pytis vs Leo | 0–5 | 0.00% |
| Pytis vs Raven | 1–3 | 25.00% |
| Pytis vs Fahkumram | 1–2 | 33.33% |
| Pytis vs Jack-8 | 0–2 | 0.00% |
| Pytis vs Shaheen | 0–2 | 0.00% |
| Pytis vs Miary Zo | 2–0 | 100.00% |
| Pytis vs Zafina | 1–0 | 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.