| Makne vs King | 19–38 | 33.33% |
| Makne vs Reina | 23–30 | 43.40% |
| Makne vs Steve | 21–24 | 46.67% |
| Makne vs Jin | 10–32 | 23.81% |
| Makne vs Armor King | 10–29 | 25.64% |
| Makne vs Hwoarang | 14–17 | 45.16% |
| Makne vs Law | 7–23 | 23.33% |
| Makne vs Eddy | 11–16 | 40.74% |
| Makne vs Asuka | 13–12 | 52.00% |
| Makne vs Kazuya | 11–11 | 50.00% |
| Makne vs Dragunov | 4–18 | 18.18% |
| Makne vs Yoshimitsu | 9–11 | 45.00% |
| Makne vs Bryan | 6–13 | 31.58% |
| Makne vs Jun | 6–12 | 33.33% |
| Makne vs Nina | 5–11–1 | 31.25% |
| Makne vs Lee | 10–7 | 58.82% |
| Makne vs Fahkumram | 9–8 | 52.94% |
| Makne vs Heihachi | 6–10 | 37.50% |
| Makne vs Lili | 5–9 | 35.71% |
| Makne vs Azucena | 6–7 | 46.15% |
| Makne vs Lars | 4–8 | 33.33% |
| Makne vs Kuma | 3–9 | 25.00% |
| Makne vs Clive | 5–7 | 41.67% |
| Makne vs Victor | 4–7 | 36.36% |
| Makne vs Lidia | 4–6 | 40.00% |
| Makne vs Xiaoyu | 5–4 | 55.56% |
| Makne vs Feng | 4–5 | 44.44% |
| Makne vs Panda | 4–5 | 44.44% |
| Makne vs Devil Jin | 3–5 | 37.50% |
| Makne vs Alisa | 2–5 | 28.57% |
| Makne vs Shaheen | 3–4 | 42.86% |
| Makne vs Anna | 4–3 | 57.14% |
| Makne vs Jack-8 | 4–2 | 66.67% |
| Makne vs Leroy | 4–2 | 66.67% |
| Makne vs Paul | 0–5 | 0.00% |
| Makne vs Leo | 3–2 | 60.00% |
| Makne vs Zafina | 0–5 | 0.00% |
| Makne vs Raven | 0–3 | 0.00% |
| Makne vs Claudio | 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.