| Big Mack vs Jin | 13–13 | 50.00% |
| Big Mack vs Miary Zo | 8–13 | 38.10% |
| Big Mack vs King | 11–7 | 61.11% |
| Big Mack vs Armor King | 9–7 | 56.25% |
| Big Mack vs Kazuya | 7–7 | 50.00% |
| Big Mack vs Lili | 7–6 | 53.85% |
| Big Mack vs Eddy | 2–10 | 16.67% |
| Big Mack vs Heihachi | 7–3 | 70.00% |
| Big Mack vs Law | 4–5 | 44.44% |
| Big Mack vs Hwoarang | 4–4 | 50.00% |
| Big Mack vs Reina | 1–7 | 12.50% |
| Big Mack vs Alisa | 5–2 | 71.43% |
| Big Mack vs Fahkumram | 3–4 | 42.86% |
| Big Mack vs Lidia | 6–0 | 100.00% |
| Big Mack vs Azucena | 1–4 | 20.00% |
| Big Mack vs Clive | 2–3 | 40.00% |
| Big Mack vs Paul | 1–3 | 25.00% |
| Big Mack vs Bryan | 2–2 | 50.00% |
| Big Mack vs Yoshimitsu | 0–3 | 0.00% |
| Big Mack vs Steve | 3–0 | 100.00% |
| Big Mack vs Feng | 2–1 | 66.67% |
| Big Mack vs Shaheen | 2–1 | 66.67% |
| Big Mack vs Nina | 3–0 | 100.00% |
| Big Mack vs Panda | 2–1 | 66.67% |
| Big Mack vs Zafina | 2–1 | 66.67% |
| Big Mack vs Leroy | 2–1 | 66.67% |
| Big Mack vs Anna | 2–1 | 66.67% |
| Big Mack vs Xiaoyu | 0–2 | 0.00% |
| Big Mack vs Dragunov | 2–0 | 100.00% |
| Big Mack vs Lars | 0–2 | 0.00% |
| Big Mack vs Claudio | 0–2 | 0.00% |
| Big Mack vs Lee | 0–2 | 0.00% |
| Big Mack vs Kuma | 2–0 | 100.00% |
| Big Mack vs Jun | 0–2 | 0.00% |
| Big Mack vs Raven | 2–0 | 100.00% |
| Big Mack vs Asuka | 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.