| FengWay vs Kazuya | 173–186 | 48.19% |
| FengWay vs Jin | 144–169 | 46.01% |
| FengWay vs King | 116–155 | 42.80% |
| FengWay vs Bryan | 100–131 | 43.29% |
| FengWay vs Hwoarang | 102–124 | 45.13% |
| FengWay vs Law | 98–120 | 44.95% |
| FengWay vs Reina | 118–91 | 56.46% |
| FengWay vs Heihachi | 78–121 | 39.20% |
| FengWay vs Paul | 62–94 | 39.74% |
| FengWay vs Steve | 68–71 | 48.92% |
| FengWay vs Jun | 68–62 | 52.31% |
| FengWay vs Lili | 52–77 | 40.31% |
| FengWay vs Yoshimitsu | 63–65 | 49.22% |
| FengWay vs Clive | 48–73 | 39.67% |
| FengWay vs Eddy | 62–55 | 52.99% |
| FengWay vs Asuka | 47–65 | 41.96% |
| FengWay vs Dragunov | 47–58 | 44.76% |
| FengWay vs Alisa | 48–56 | 46.15% |
| FengWay vs Lee | 39–52 | 42.86% |
| FengWay vs Devil Jin | 34–54 | 38.64% |
| FengWay vs Nina | 36–45 | 44.44% |
| FengWay vs Victor | 43–38 | 53.09% |
| FengWay vs Xiaoyu | 40–39 | 50.63% |
| FengWay vs Feng | 21–54 | 28.00% |
| FengWay vs Lars | 24–45 | 34.78% |
| FengWay vs Lidia | 27–35 | 43.55% |
| FengWay vs Azucena | 35–26 | 57.38% |
| FengWay vs Anna | 29–32 | 47.54% |
| FengWay vs Fahkumram | 31–30 | 50.82% |
| FengWay vs Claudio | 19–27 | 41.30% |
| FengWay vs Leroy | 16–29 | 35.56% |
| FengWay vs Armor King | 16–22 | 42.11% |
| FengWay vs Leo | 19–18 | 51.35% |
| FengWay vs Raven | 19–15 | 55.88% |
| FengWay vs Kuma | 13–18 | 41.94% |
| FengWay vs Jack-8 | 12–18 | 40.00% |
| FengWay vs Shaheen | 10–19 | 34.48% |
| FengWay vs Zafina | 12–15 | 44.44% |
| FengWay vs Miary Zo | 10–5 | 66.67% |
| FengWay vs Panda | 1–8 | 11.11% |
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.