| HowWrong vs Kazuya | 443–478 | 48.10% |
| HowWrong vs Jin | 421–460 | 47.79% |
| HowWrong vs King | 379–421 | 47.38% |
| HowWrong vs Bryan | 343–427 | 44.55% |
| HowWrong vs Hwoarang | 297–394 | 42.98% |
| HowWrong vs Law | 360–314 | 53.41% |
| HowWrong vs Steve | 308–311 | 49.76% |
| HowWrong vs Reina | 293–311 | 48.51% |
| HowWrong vs Heihachi | 287–290 | 49.74% |
| HowWrong vs Azucena | 254–273 | 48.20% |
| HowWrong vs Dragunov | 260–255 | 50.49% |
| HowWrong vs Lili | 236–261 | 47.48% |
| HowWrong vs Lee | 249–208 | 54.49% |
| HowWrong vs Paul | 223–233 | 48.90% |
| HowWrong vs Yoshimitsu | 213–227 | 48.41% |
| HowWrong vs Feng | 183–212 | 46.33% |
| HowWrong vs Nina | 190–192 | 49.74% |
| HowWrong vs Asuka | 177–194 | 47.71% |
| HowWrong vs Victor | 155–214 | 42.01% |
| HowWrong vs Eddy | 201–168 | 54.47% |
| HowWrong vs Lars | 156–209 | 42.74% |
| HowWrong vs Jun | 182–179 | 50.42% |
| HowWrong vs Lidia | 140–168 | 45.45% |
| HowWrong vs Leo | 131–156 | 45.64% |
| HowWrong vs Xiaoyu | 123–147 | 45.56% |
| HowWrong vs Leroy | 125–143 | 46.64% |
| HowWrong vs Devil Jin | 111–156 | 41.57% |
| HowWrong vs Raven | 130–132 | 49.62% |
| HowWrong vs Jack-8 | 115–134 | 46.18% |
| HowWrong vs Clive | 102–136 | 42.86% |
| HowWrong vs Anna | 91–135 | 40.27% |
| HowWrong vs Armor King | 96–116 | 45.28% |
| HowWrong vs Alisa | 83–114 | 42.13% |
| HowWrong vs Claudio | 67–93 | 41.88% |
| HowWrong vs Kuma | 61–85 | 41.78% |
| HowWrong vs Zafina | 58–87 | 40.00% |
| HowWrong vs Fahkumram | 61–68 | 47.29% |
| HowWrong vs Miary Zo | 47–73 | 39.17% |
| HowWrong vs Shaheen | 59–41 | 59.00% |
| HowWrong vs Panda | 18–33 | 35.29% |
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.