| pipegodlouie vs Kazuya | 11–16 | 40.74% |
| pipegodlouie vs Law | 6–10 | 37.50% |
| pipegodlouie vs Steve | 10–6 | 62.50% |
| pipegodlouie vs King | 9–6 | 60.00% |
| pipegodlouie vs Hwoarang | 7–8 | 46.67% |
| pipegodlouie vs Heihachi | 6–8 | 42.86% |
| pipegodlouie vs Jin | 4–9 | 30.77% |
| pipegodlouie vs Reina | 2–8 | 20.00% |
| pipegodlouie vs Dragunov | 2–6 | 25.00% |
| pipegodlouie vs Lee | 3–5 | 37.50% |
| pipegodlouie vs Jun | 4–4 | 50.00% |
| pipegodlouie vs Eddy | 2–6 | 25.00% |
| pipegodlouie vs Asuka | 1–6 | 14.29% |
| pipegodlouie vs Shaheen | 2–5 | 28.57% |
| pipegodlouie vs Bryan | 3–3 | 50.00% |
| pipegodlouie vs Feng | 4–2 | 66.67% |
| pipegodlouie vs Lars | 1–5 | 16.67% |
| pipegodlouie vs Leroy | 1–5 | 16.67% |
| pipegodlouie vs Paul | 1–4 | 20.00% |
| pipegodlouie vs Yoshimitsu | 3–2 | 60.00% |
| pipegodlouie vs Xiaoyu | 3–2 | 60.00% |
| pipegodlouie vs Lili | 3–2 | 60.00% |
| pipegodlouie vs Leo | 1–4 | 20.00% |
| pipegodlouie vs Victor | 4–1 | 80.00% |
| pipegodlouie vs Devil Jin | 2–2 | 50.00% |
| pipegodlouie vs Azucena | 1–3 | 25.00% |
| pipegodlouie vs Anna | 0–4 | 0.00% |
| pipegodlouie vs Zafina | 2–1 | 66.67% |
| pipegodlouie vs Raven | 2–1 | 66.67% |
| pipegodlouie vs Jack-8 | 0–2 | 0.00% |
| pipegodlouie vs Nina | 2–0 | 100.00% |
| pipegodlouie vs Lidia | 1–1 | 50.00% |
| pipegodlouie vs Kuma | 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.