| Mallard vs Hwoarang | 88–43 | 67.18% |
| Mallard vs Bryan | 88–35 | 71.54% |
| Mallard vs King | 72–35 | 67.29% |
| Mallard vs Kazuya | 59–38 | 60.82% |
| Mallard vs Lars | 51–43 | 54.26% |
| Mallard vs Dragunov | 61–29 | 67.78% |
| Mallard vs Paul | 61–27 | 69.32% |
| Mallard vs Steve | 50–35 | 58.82% |
| Mallard vs Reina | 55–29 | 65.48% |
| Mallard vs Jin | 51–27 | 65.38% |
| Mallard vs Heihachi | 48–29 | 62.34% |
| Mallard vs Victor | 41–33 | 55.41% |
| Mallard vs Law | 38–30 | 55.88% |
| Mallard vs Feng | 38–23 | 62.30% |
| Mallard vs Asuka | 31–28 | 52.54% |
| Mallard vs Clive | 37–22 | 62.71% |
| Mallard vs Xiaoyu | 38–19 | 66.67% |
| Mallard vs Yoshimitsu | 33–23 | 58.93% |
| Mallard vs Jack-8 | 37–19 | 66.07% |
| Mallard vs Azucena | 40–16 | 71.43% |
| Mallard vs Fahkumram | 30–26 | 53.57% |
| Mallard vs Lee | 27–27 | 50.00% |
| Mallard vs Raven | 29–25 | 53.70% |
| Mallard vs Lili | 31–21 | 59.62% |
| Mallard vs Jun | 40–7 | 85.11% |
| Mallard vs Devil Jin | 25–20 | 55.56% |
| Mallard vs Claudio | 31–14 | 68.89% |
| Mallard vs Nina | 25–18 | 58.14% |
| Mallard vs Zafina | 28–14 | 66.67% |
| Mallard vs Miary Zo | 30–11 | 73.17% |
| Mallard vs Alisa | 19–20 | 48.72% |
| Mallard vs Lidia | 21–15 | 58.33% |
| Mallard vs Anna | 17–19 | 47.22% |
| Mallard vs Armor King | 20–15 | 57.14% |
| Mallard vs Leroy | 27–5 | 84.38% |
| Mallard vs Kuma | 18–7 | 72.00% |
| Mallard vs Eddy | 18–7 | 72.00% |
| Mallard vs Shaheen | 15–6 | 71.43% |
| Mallard vs Panda | 14–7 | 66.67% |
| Mallard vs Leo | 13–7 | 65.00% |
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.