| monkeychowder vs Eddy | 7–18 | 28.00% |
| monkeychowder vs Reina | 11–6 | 64.71% |
| monkeychowder vs Steve | 12–2 | 85.71% |
| monkeychowder vs Jun | 8–6 | 57.14% |
| monkeychowder vs Yoshimitsu | 7–6 | 53.85% |
| monkeychowder vs Kazuya | 5–8 | 38.46% |
| monkeychowder vs Victor | 7–6 | 53.85% |
| monkeychowder vs Law | 7–5 | 58.33% |
| monkeychowder vs Paul | 4–6 | 40.00% |
| monkeychowder vs Jin | 6–4 | 60.00% |
| monkeychowder vs Asuka | 4–4 | 50.00% |
| monkeychowder vs Lili | 3–5 | 37.50% |
| monkeychowder vs Dragunov | 3–5 | 37.50% |
| monkeychowder vs King | 2–5 | 28.57% |
| monkeychowder vs Xiaoyu | 1–6 | 14.29% |
| monkeychowder vs Leo | 3–4 | 42.86% |
| monkeychowder vs Nina | 2–5 | 28.57% |
| monkeychowder vs Raven | 4–3 | 57.14% |
| monkeychowder vs Hwoarang | 2–4 | 33.33% |
| monkeychowder vs Lee | 5–1 | 83.33% |
| monkeychowder vs Bryan | 1–4 | 20.00% |
| monkeychowder vs Feng | 2–3 | 40.00% |
| monkeychowder vs Kuma | 3–2 | 60.00% |
| monkeychowder vs Azucena | 2–2 | 50.00% |
| monkeychowder vs Devil Jin | 2–1 | 66.67% |
| monkeychowder vs Lars | 1–2 | 33.33% |
| monkeychowder vs Zafina | 1–2 | 33.33% |
| monkeychowder vs Jack-8 | 1–1 | 50.00% |
| monkeychowder vs Alisa | 0–2 | 0.00% |
| monkeychowder vs Claudio | 1–1 | 50.00% |
| monkeychowder vs Shaheen | 2–0 | 100.00% |
| monkeychowder vs Leroy | 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.