| wataboh vs Bryan | 163–146 | 52.75% |
| wataboh vs Clive | 149–135 | 52.46% |
| wataboh vs Hwoarang | 112–136 | 45.16% |
| wataboh vs Kazuya | 116–128 | 47.54% |
| wataboh vs Dragunov | 140–101 | 58.09% |
| wataboh vs Steve | 111–125 | 47.03% |
| wataboh vs Asuka | 124–93 | 57.14% |
| wataboh vs King | 94–106 | 47.00% |
| wataboh vs Lili | 108–81 | 57.14% |
| wataboh vs Law | 95–92 | 50.80% |
| wataboh vs Paul | 112–72 | 60.87% |
| wataboh vs Lars | 82–100 | 45.05% |
| wataboh vs Reina | 92–84 | 52.27% |
| wataboh vs Jin | 82–91 | 47.40% |
| wataboh vs Azucena | 88–81 | 52.07% |
| wataboh vs Eddy | 85–78 | 52.15% |
| wataboh vs Devil Jin | 97–65 | 59.88% |
| wataboh vs Jack-8 | 73–81 | 47.40% |
| wataboh vs Leroy | 71–71 | 50.00% |
| wataboh vs Armor King | 63–76–1 | 45.32% |
| wataboh vs Claudio | 75–63 | 54.35% |
| wataboh vs Lee | 66–68 | 49.25% |
| wataboh vs Yoshimitsu | 59–74 | 44.36% |
| wataboh vs Heihachi | 58–73 | 44.27% |
| wataboh vs Nina | 66–63 | 51.16% |
| wataboh vs Leo | 59–69 | 46.09% |
| wataboh vs Lidia | 66–62 | 51.56% |
| wataboh vs Xiaoyu | 73–53 | 57.94% |
| wataboh vs Alisa | 62–63 | 49.60% |
| wataboh vs Feng | 74–48 | 60.66% |
| wataboh vs Victor | 55–63 | 46.61% |
| wataboh vs Jun | 69–44 | 61.06% |
| wataboh vs Miary Zo | 47–61 | 43.52% |
| wataboh vs Raven | 47–60 | 43.93% |
| wataboh vs Anna | 51–47 | 52.04% |
| wataboh vs Zafina | 50–41 | 54.95% |
| wataboh vs Shaheen | 45–38 | 54.22% |
| wataboh vs Kuma | 38–33 | 53.52% |
| wataboh vs Fahkumram | 28–41 | 40.58% |
| wataboh vs Panda | 17–21–1 | 44.74% |
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.