I_LOVE_POLINA vs Heihachi | 15–24 | 38.46% |
I_LOVE_POLINA vs Reina | 13–18 | 41.94% |
I_LOVE_POLINA vs Bryan | 9–12 | 42.86% |
I_LOVE_POLINA vs Kazuya | 7–13 | 35.00% |
I_LOVE_POLINA vs Law | 7–8 | 46.67% |
I_LOVE_POLINA vs Jin | 3–10 | 23.08% |
I_LOVE_POLINA vs King | 8–4 | 66.67% |
I_LOVE_POLINA vs Lidia | 6–6 | 50.00% |
I_LOVE_POLINA vs Dragunov | 6–5 | 54.55% |
I_LOVE_POLINA vs Lars | 2–9 | 18.18% |
I_LOVE_POLINA vs Asuka | 8–2 | 80.00% |
I_LOVE_POLINA vs Kuma | 7–3 | 70.00% |
I_LOVE_POLINA vs Steve | 3–6 | 33.33% |
I_LOVE_POLINA vs Claudio | 4–5 | 44.44% |
I_LOVE_POLINA vs Paul | 1–5 | 16.67% |
I_LOVE_POLINA vs Hwoarang | 1–5 | 16.67% |
I_LOVE_POLINA vs Nina | 4–2 | 66.67% |
I_LOVE_POLINA vs Xiaoyu | 3–2 | 60.00% |
I_LOVE_POLINA vs Devil Jin | 1–4 | 20.00% |
I_LOVE_POLINA vs Shaheen | 4–1 | 80.00% |
I_LOVE_POLINA vs Lili | 0–4 | 0.00% |
I_LOVE_POLINA vs Azucena | 3–1 | 75.00% |
I_LOVE_POLINA vs Eddy | 2–2 | 50.00% |
I_LOVE_POLINA vs Jack-8 | 1–2 | 33.33% |
I_LOVE_POLINA vs Feng | 1–2 | 33.33% |
I_LOVE_POLINA vs Leo | 2–1 | 66.67% |
I_LOVE_POLINA vs Alisa | 1–2 | 33.33% |
I_LOVE_POLINA vs Jun | 2–1 | 66.67% |
I_LOVE_POLINA vs Victor | 2–1 | 66.67% |
I_LOVE_POLINA vs Raven | 2–1 | 66.67% |
I_LOVE_POLINA vs Lee | 1–1 | 50.00% |
I_LOVE_POLINA vs Zafina | 1–1 | 50.00% |
I_LOVE_POLINA vs Leroy | 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.