| Mak.A.Snack vs Reina | 18–22 | 45.00% |
| Mak.A.Snack vs Dragunov | 16–20 | 44.44% |
| Mak.A.Snack vs King | 13–21 | 38.24% |
| Mak.A.Snack vs Steve | 12–20 | 37.50% |
| Mak.A.Snack vs Hwoarang | 18–11 | 62.07% |
| Mak.A.Snack vs Kazuya | 12–16 | 42.86% |
| Mak.A.Snack vs Bryan | 12–14 | 46.15% |
| Mak.A.Snack vs Jun | 23–3 | 88.46% |
| Mak.A.Snack vs Clive | 8–18 | 30.77% |
| Mak.A.Snack vs Law | 10–13 | 43.48% |
| Mak.A.Snack vs Jin | 5–17 | 22.73% |
| Mak.A.Snack vs Eddy | 12–9 | 57.14% |
| Mak.A.Snack vs Asuka | 8–11 | 42.11% |
| Mak.A.Snack vs Heihachi | 8–11 | 42.11% |
| Mak.A.Snack vs Yoshimitsu | 8–9 | 47.06% |
| Mak.A.Snack vs Victor | 10–7 | 58.82% |
| Mak.A.Snack vs Lars | 9–7 | 56.25% |
| Mak.A.Snack vs Nina | 9–6 | 60.00% |
| Mak.A.Snack vs Jack-8 | 4–9 | 30.77% |
| Mak.A.Snack vs Paul | 5–7 | 41.67% |
| Mak.A.Snack vs Lili | 5–7 | 41.67% |
| Mak.A.Snack vs Azucena | 5–6 | 45.45% |
| Mak.A.Snack vs Xiaoyu | 6–4 | 60.00% |
| Mak.A.Snack vs Claudio | 3–7 | 30.00% |
| Mak.A.Snack vs Lidia | 4–6 | 40.00% |
| Mak.A.Snack vs Leo | 6–2 | 75.00% |
| Mak.A.Snack vs Alisa | 5–3 | 62.50% |
| Mak.A.Snack vs Lee | 2–6 | 25.00% |
| Mak.A.Snack vs Feng | 5–2 | 71.43% |
| Mak.A.Snack vs Shaheen | 5–2 | 71.43% |
| Mak.A.Snack vs Leroy | 4–2 | 66.67% |
| Mak.A.Snack vs Raven | 3–2 | 60.00% |
| Mak.A.Snack vs Devil Jin | 1–3 | 25.00% |
| Mak.A.Snack vs Zafina | 2–2 | 50.00% |
| Mak.A.Snack vs Kuma | 3–0 | 100.00% |
| Mak.A.Snack vs Anna | 3–0 | 100.00% |
| Mak.A.Snack vs Armor King | 1–2 | 33.33% |
| Mak.A.Snack vs Panda | 0–2 | 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.