| theoldgeek vs Kazuya | 489–471 | 50.94% |
| theoldgeek vs Jin | 470–452 | 50.98% |
| theoldgeek vs Bryan | 452–424 | 51.60% |
| theoldgeek vs Hwoarang | 329–349 | 48.53% |
| theoldgeek vs King | 276–385 | 41.75% |
| theoldgeek vs Reina | 265–282 | 48.45% |
| theoldgeek vs Heihachi | 255–286 | 47.13% |
| theoldgeek vs Paul | 225–308 | 42.21% |
| theoldgeek vs Law | 240–257 | 48.29% |
| theoldgeek vs Dragunov | 237–237 | 50.00% |
| theoldgeek vs Lee | 247–227 | 52.11% |
| theoldgeek vs Steve | 233–229 | 50.43% |
| theoldgeek vs Yoshimitsu | 200–250 | 44.44% |
| theoldgeek vs Devil Jin | 217–225 | 49.10% |
| theoldgeek vs Lili | 171–202 | 45.84% |
| theoldgeek vs Feng | 136–169 | 44.59% |
| theoldgeek vs Asuka | 153–148 | 50.83% |
| theoldgeek vs Jun | 152–134 | 53.15% |
| theoldgeek vs Xiaoyu | 140–140 | 50.00% |
| theoldgeek vs Azucena | 137–143 | 48.93% |
| theoldgeek vs Lars | 122–139 | 46.74% |
| theoldgeek vs Victor | 111–132 | 45.68% |
| theoldgeek vs Nina | 107–125 | 46.12% |
| theoldgeek vs Jack-8 | 93–109 | 46.04% |
| theoldgeek vs Lidia | 107–94 | 53.23% |
| theoldgeek vs Leo | 90–107 | 45.69% |
| theoldgeek vs Alisa | 79–114 | 40.93% |
| theoldgeek vs Leroy | 95–96 | 49.74% |
| theoldgeek vs Eddy | 93–79–1 | 54.07% |
| theoldgeek vs Clive | 68–97 | 41.21% |
| theoldgeek vs Claudio | 72–84 | 46.15% |
| theoldgeek vs Raven | 56–88 | 38.89% |
| theoldgeek vs Kuma | 68–59 | 53.54% |
| theoldgeek vs Fahkumram | 55–70 | 44.00% |
| theoldgeek vs Armor King | 57–58 | 49.57% |
| theoldgeek vs Shaheen | 42–71 | 37.17% |
| theoldgeek vs Zafina | 49–60 | 44.95% |
| theoldgeek vs Anna | 29–52 | 35.80% |
| theoldgeek vs Panda | 20–24 | 45.45% |
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.