| lay1472 vs Kazuya | 167–160 | 51.07% |
| lay1472 vs Hwoarang | 126–177 | 41.58% |
| lay1472 vs Bryan | 130–131 | 49.81% |
| lay1472 vs Paul | 123–118 | 51.04% |
| lay1472 vs Reina | 112–118 | 48.70% |
| lay1472 vs King | 96–129 | 42.67% |
| lay1472 vs Jin | 100–114 | 46.73% |
| lay1472 vs Dragunov | 98–102 | 49.00% |
| lay1472 vs Steve | 89–92 | 49.17% |
| lay1472 vs Lili | 77–80 | 49.04% |
| lay1472 vs Asuka | 72–79 | 47.68% |
| lay1472 vs Law | 63–83 | 43.15% |
| lay1472 vs Heihachi | 59–57 | 50.86% |
| lay1472 vs Yoshimitsu | 60–49 | 55.05% |
| lay1472 vs Xiaoyu | 51–57 | 47.22% |
| lay1472 vs Victor | 48–57 | 45.71% |
| lay1472 vs Lidia | 52–52 | 50.00% |
| lay1472 vs Devil Jin | 40–62 | 39.22% |
| lay1472 vs Clive | 64–38 | 62.75% |
| lay1472 vs Lars | 48–50 | 48.98% |
| lay1472 vs Feng | 44–53 | 45.36% |
| lay1472 vs Nina | 32–57 | 35.96% |
| lay1472 vs Armor King | 41–48 | 46.07% |
| lay1472 vs Jun | 41–47 | 46.59% |
| lay1472 vs Claudio | 34–53 | 39.08% |
| lay1472 vs Azucena | 45–42 | 51.72% |
| lay1472 vs Lee | 46–40 | 53.49% |
| lay1472 vs Eddy | 31–45 | 40.79% |
| lay1472 vs Leo | 36–37 | 49.32% |
| lay1472 vs Alisa | 38–33 | 53.52% |
| lay1472 vs Jack-8 | 32–37 | 46.38% |
| lay1472 vs Shaheen | 26–26 | 50.00% |
| lay1472 vs Leroy | 20–30 | 40.00% |
| lay1472 vs Anna | 27–23 | 54.00% |
| lay1472 vs Fahkumram | 22–28 | 44.00% |
| lay1472 vs Raven | 20–14 | 58.82% |
| lay1472 vs Kuma | 12–20 | 37.50% |
| lay1472 vs Zafina | 9–13 | 40.91% |
| lay1472 vs Miary Zo | 12–9 | 57.14% |
| lay1472 vs Panda | 10–10 | 50.00% |
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.