| Big Pharma vs Anna | 4–7 | 36.36% |
| Big Pharma vs Asuka | 7–3 | 70.00% |
| Big Pharma vs King | 5–4 | 55.56% |
| Big Pharma vs Lili | 2–5 | 28.57% |
| Big Pharma vs Reina | 5–2 | 71.43% |
| Big Pharma vs Heihachi | 3–4 | 42.86% |
| Big Pharma vs Jin | 2–4 | 33.33% |
| Big Pharma vs Steve | 5–1 | 83.33% |
| Big Pharma vs Nina | 4–1 | 80.00% |
| Big Pharma vs Alisa | 4–0 | 100.00% |
| Big Pharma vs Azucena | 4–0 | 100.00% |
| Big Pharma vs Xiaoyu | 1–2 | 33.33% |
| Big Pharma vs Devil Jin | 2–1 | 66.67% |
| Big Pharma vs Leo | 2–1 | 66.67% |
| Big Pharma vs Claudio | 1–2 | 33.33% |
| Big Pharma vs Lee | 1–2 | 33.33% |
| Big Pharma vs Jun | 1–2 | 33.33% |
| Big Pharma vs Eddy | 2–1 | 66.67% |
| Big Pharma vs Clive | 2–1 | 66.67% |
| Big Pharma vs Law | 2–0 | 100.00% |
| Big Pharma vs Kazuya | 0–2 | 0.00% |
| Big Pharma vs Dragunov | 0–2 | 0.00% |
| Big Pharma vs Lars | 1–1 | 50.00% |
| Big Pharma vs Panda | 2–0 | 100.00% |
| Big Pharma vs Zafina | 2–0 | 100.00% |
| Big Pharma vs Feng | 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.