| MWT_Araw vs Heihachi | 52–13 | 80.00% |
| MWT_Araw vs Kazuya | 46–16 | 74.19% |
| MWT_Araw vs Jin | 44–10 | 81.48% |
| MWT_Araw vs Bryan | 29–15 | 65.91% |
| MWT_Araw vs Reina | 27–9 | 75.00% |
| MWT_Araw vs King | 30–3 | 90.91% |
| MWT_Araw vs Yoshimitsu | 29–4 | 87.88% |
| MWT_Araw vs Law | 28–4 | 87.50% |
| MWT_Araw vs Hwoarang | 27–3 | 90.00% |
| MWT_Araw vs Dragunov | 18–5 | 78.26% |
| MWT_Araw vs Eddy | 21–2 | 91.30% |
| MWT_Araw vs Asuka | 19–3 | 86.36% |
| MWT_Araw vs Lili | 19–1 | 95.00% |
| MWT_Araw vs Jun | 16–3 | 84.21% |
| MWT_Araw vs Azucena | 15–3 | 83.33% |
| MWT_Araw vs Paul | 16–1 | 94.12% |
| MWT_Araw vs Nina | 13–3 | 81.25% |
| MWT_Araw vs Steve | 12–3 | 80.00% |
| MWT_Araw vs Lee | 13–2 | 86.67% |
| MWT_Araw vs Alisa | 12–2 | 85.71% |
| MWT_Araw vs Lars | 10–3 | 76.92% |
| MWT_Araw vs Xiaoyu | 12–0 | 100.00% |
| MWT_Araw vs Victor | 11–1 | 91.67% |
| MWT_Araw vs Devil Jin | 8–1 | 88.89% |
| MWT_Araw vs Clive | 9–0 | 100.00% |
| MWT_Araw vs Feng | 6–2 | 75.00% |
| MWT_Araw vs Raven | 7–1 | 87.50% |
| MWT_Araw vs Leo | 5–2 | 71.43% |
| MWT_Araw vs Leroy | 7–0 | 100.00% |
| MWT_Araw vs Jack-8 | 3–2 | 60.00% |
| MWT_Araw vs Claudio | 5–0 | 100.00% |
| MWT_Araw vs Shaheen | 4–1 | 80.00% |
| MWT_Araw vs Kuma | 3–1 | 75.00% |
| MWT_Araw vs Zafina | 3–1 | 75.00% |
| MWT_Araw vs Panda | 3–0 | 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.