| Mashing2Win vs King | 112–88 | 56.00% |
| Mashing2Win vs Jin | 96–41 | 70.07% |
| Mashing2Win vs Kazuya | 88–48 | 64.71% |
| Mashing2Win vs Bryan | 72–59 | 54.96% |
| Mashing2Win vs Law | 90–33 | 73.17% |
| Mashing2Win vs Dragunov | 73–39 | 65.18% |
| Mashing2Win vs Reina | 47–33 | 58.75% |
| Mashing2Win vs Heihachi | 43–35 | 55.13% |
| Mashing2Win vs Devil Jin | 41–24 | 63.08% |
| Mashing2Win vs Yoshimitsu | 35–28 | 55.56% |
| Mashing2Win vs Steve | 38–25 | 60.32% |
| Mashing2Win vs Hwoarang | 34–23 | 59.65% |
| Mashing2Win vs Victor | 32–22 | 59.26% |
| Mashing2Win vs Fahkumram | 20–33 | 37.74% |
| Mashing2Win vs Paul | 36–16 | 69.23% |
| Mashing2Win vs Jun | 28–20 | 58.33% |
| Mashing2Win vs Lars | 32–15 | 68.09% |
| Mashing2Win vs Azucena | 21–20 | 51.22% |
| Mashing2Win vs Eddy | 30–10 | 75.00% |
| Mashing2Win vs Claudio | 23–16 | 58.97% |
| Mashing2Win vs Anna | 10–29 | 25.64% |
| Mashing2Win vs Nina | 27–10 | 72.97% |
| Mashing2Win vs Lee | 23–10 | 69.70% |
| Mashing2Win vs Clive | 26–7 | 78.79% |
| Mashing2Win vs Asuka | 14–17 | 45.16% |
| Mashing2Win vs Lili | 22–9 | 70.97% |
| Mashing2Win vs Feng | 16–14 | 53.33% |
| Mashing2Win vs Alisa | 16–11 | 59.26% |
| Mashing2Win vs Jack-8 | 8–12 | 40.00% |
| Mashing2Win vs Shaheen | 9–7 | 56.25% |
| Mashing2Win vs Lidia | 10–6 | 62.50% |
| Mashing2Win vs Leroy | 7–7 | 50.00% |
| Mashing2Win vs Kuma | 5–3 | 62.50% |
| Mashing2Win vs Xiaoyu | 3–3 | 50.00% |
| Mashing2Win vs Leo | 3–3 | 50.00% |
| Mashing2Win vs Zafina | 6–0 | 100.00% |
| Mashing2Win vs Panda | 0–4 | 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.