| Mackk_Slur vs Kazuya | 18–7 | 72.00% |
| Mackk_Slur vs Heihachi | 11–5 | 68.75% |
| Mackk_Slur vs King | 10–4 | 71.43% |
| Mackk_Slur vs Reina | 11–3 | 78.57% |
| Mackk_Slur vs Fahkumram | 12–2 | 85.71% |
| Mackk_Slur vs Eddy | 10–3 | 76.92% |
| Mackk_Slur vs Bryan | 3–9 | 25.00% |
| Mackk_Slur vs Lili | 7–4 | 63.64% |
| Mackk_Slur vs Law | 5–3 | 62.50% |
| Mackk_Slur vs Jin | 4–4 | 50.00% |
| Mackk_Slur vs Alisa | 3–5 | 37.50% |
| Mackk_Slur vs Lars | 3–4 | 42.86% |
| Mackk_Slur vs Victor | 5–2 | 71.43% |
| Mackk_Slur vs Lidia | 3–3 | 50.00% |
| Mackk_Slur vs Yoshimitsu | 3–2 | 60.00% |
| Mackk_Slur vs Steve | 5–0 | 100.00% |
| Mackk_Slur vs Devil Jin | 2–3 | 40.00% |
| Mackk_Slur vs Dragunov | 4–1 | 80.00% |
| Mackk_Slur vs Xiaoyu | 2–2 | 50.00% |
| Mackk_Slur vs Leo | 2–2 | 50.00% |
| Mackk_Slur vs Jun | 3–1 | 75.00% |
| Mackk_Slur vs Armor King | 3–1 | 75.00% |
| Mackk_Slur vs Asuka | 2–1 | 66.67% |
| Mackk_Slur vs Nina | 3–0 | 100.00% |
| Mackk_Slur vs Azucena | 2–1 | 66.67% |
| Mackk_Slur vs Raven | 2–1 | 66.67% |
| Mackk_Slur vs Hwoarang | 2–0 | 100.00% |
| Mackk_Slur vs Feng | 0–2 | 0.00% |
| Mackk_Slur vs Paul | 1–0 | 100.00% |
| Mackk_Slur vs Jack-8 | 0–1 | 0.00% |
| Mackk_Slur vs Claudio | 1–0 | 100.00% |
| Mackk_Slur vs Lee | 1–0 | 100.00% |
| Mackk_Slur vs Kuma | 1–0 | 100.00% |
| Mackk_Slur vs Clive | 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.