| mango vs Kazuya | 25–26 | 49.02% |
| mango vs King | 19–16 | 54.29% |
| mango vs Reina | 15–17 | 46.88% |
| mango vs Armor King | 14–14 | 50.00% |
| mango vs Jin | 14–13 | 51.85% |
| mango vs Steve | 17–10 | 62.96% |
| mango vs Bryan | 7–16 | 30.43% |
| mango vs Law | 13–9 | 59.09% |
| mango vs Dragunov | 9–13 | 40.91% |
| mango vs Azucena | 11–10 | 52.38% |
| mango vs Miary Zo | 9–12 | 42.86% |
| mango vs Lili | 11–8 | 57.89% |
| mango vs Asuka | 9–7 | 56.25% |
| mango vs Leo | 6–9 | 40.00% |
| mango vs Jun | 4–11 | 26.67% |
| mango vs Yoshimitsu | 8–6 | 57.14% |
| mango vs Feng | 5–9 | 35.71% |
| mango vs Hwoarang | 6–7 | 46.15% |
| mango vs Nina | 6–7 | 46.15% |
| mango vs Heihachi | 7–5 | 58.33% |
| mango vs Clive | 7–4 | 63.64% |
| mango vs Paul | 3–5 | 37.50% |
| mango vs Jack-8 | 6–2 | 75.00% |
| mango vs Devil Jin | 2–6 | 25.00% |
| mango vs Lars | 4–4 | 50.00% |
| mango vs Claudio | 1–7 | 12.50% |
| mango vs Leroy | 6–2 | 75.00% |
| mango vs Anna | 6–2 | 75.00% |
| mango vs Kuma | 3–4 | 42.86% |
| mango vs Victor | 7–0 | 100.00% |
| mango vs Lidia | 1–6 | 14.29% |
| mango vs Xiaoyu | 2–4 | 33.33% |
| mango vs Shaheen | 2–4 | 33.33% |
| mango vs Alisa | 4–1 | 80.00% |
| mango vs Lee | 1–4 | 20.00% |
| mango vs Eddy | 1–4 | 20.00% |
| mango vs Zafina | 2–1 | 66.67% |
| mango vs Raven | 3–0 | 100.00% |
| mango vs Fahkumram | 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.