| wenly vs Hwoarang | 191–174 | 52.33% |
| wenly vs King | 169–168 | 50.15% |
| wenly vs Dragunov | 164–172 | 48.81% |
| wenly vs Bryan | 149–181 | 45.15% |
| wenly vs Steve | 135–167 | 44.70% |
| wenly vs Kazuya | 167–128 | 56.61% |
| wenly vs Asuka | 127–150 | 45.85% |
| wenly vs Reina | 160–104 | 60.61% |
| wenly vs Paul | 151–108 | 58.30% |
| wenly vs Jin | 145–94–1 | 60.67% |
| wenly vs Victor | 111–111 | 50.00% |
| wenly vs Yoshimitsu | 105–110 | 48.84% |
| wenly vs Feng | 106–109 | 49.30% |
| wenly vs Nina | 126–89 | 58.60% |
| wenly vs Lars | 115–99 | 53.74% |
| wenly vs Lili | 112–96 | 53.85% |
| wenly vs Alisa | 87–118 | 42.44% |
| wenly vs Law | 96–104 | 48.00% |
| wenly vs Jack-8 | 103–88 | 53.93% |
| wenly vs Lee | 66–116 | 36.26% |
| wenly vs Devil Jin | 95–86 | 52.49% |
| wenly vs Xiaoyu | 93–86 | 51.96% |
| wenly vs Claudio | 87–84 | 50.88% |
| wenly vs Eddy | 93–70 | 57.06% |
| wenly vs Shaheen | 83–67 | 55.33% |
| wenly vs Jun | 63–87 | 42.00% |
| wenly vs Leroy | 78–61 | 56.12% |
| wenly vs Raven | 61–76 | 44.53% |
| wenly vs Leo | 77–59 | 56.62% |
| wenly vs Heihachi | 58–67 | 46.40% |
| wenly vs Azucena | 47–75 | 38.52% |
| wenly vs Lidia | 66–53 | 55.46% |
| wenly vs Kuma | 52–61 | 46.02% |
| wenly vs Zafina | 44–51 | 46.32% |
| wenly vs Anna | 40–48 | 45.45% |
| wenly vs Clive | 37–48 | 43.53% |
| wenly vs Fahkumram | 33–44 | 42.86% |
| wenly vs Armor King | 22–27 | 44.90% |
| wenly vs Miary Zo | 18–21 | 46.15% |
| wenly vs Panda | 10–28 | 26.32% |
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.