| BaconatorLar vs Jin | 87–80 | 52.10% |
| BaconatorLar vs Bryan | 78–62 | 55.71% |
| BaconatorLar vs Law | 65–68 | 48.87% |
| BaconatorLar vs King | 59–74 | 44.36% |
| BaconatorLar vs Yoshimitsu | 61–62 | 49.59% |
| BaconatorLar vs Kazuya | 60–62 | 49.18% |
| BaconatorLar vs Hwoarang | 84–37 | 69.42% |
| BaconatorLar vs Steve | 50–62 | 44.64% |
| BaconatorLar vs Reina | 52–53 | 49.52% |
| BaconatorLar vs Lili | 46–44 | 51.11% |
| BaconatorLar vs Asuka | 32–47 | 40.51% |
| BaconatorLar vs Dragunov | 35–44 | 44.30% |
| BaconatorLar vs Jun | 42–36 | 53.85% |
| BaconatorLar vs Nina | 31–46 | 40.26% |
| BaconatorLar vs Heihachi | 27–47 | 36.49% |
| BaconatorLar vs Paul | 28–41 | 40.58% |
| BaconatorLar vs Lee | 33–33 | 50.00% |
| BaconatorLar vs Victor | 31–32 | 49.21% |
| BaconatorLar vs Alisa | 23–38 | 37.70% |
| BaconatorLar vs Xiaoyu | 26–34 | 43.33% |
| BaconatorLar vs Devil Jin | 30–29 | 50.85% |
| BaconatorLar vs Azucena | 25–31 | 44.64% |
| BaconatorLar vs Feng | 19–34 | 35.85% |
| BaconatorLar vs Lars | 14–36 | 28.00% |
| BaconatorLar vs Leo | 21–21 | 50.00% |
| BaconatorLar vs Leroy | 18–20 | 47.37% |
| BaconatorLar vs Eddy | 16–22 | 42.11% |
| BaconatorLar vs Raven | 13–22 | 37.14% |
| BaconatorLar vs Clive | 15–17 | 46.88% |
| BaconatorLar vs Claudio | 15–14 | 51.72% |
| BaconatorLar vs Kuma | 10–19 | 34.48% |
| BaconatorLar vs Lidia | 13–13 | 50.00% |
| BaconatorLar vs Jack-8 | 8–13 | 38.10% |
| BaconatorLar vs Shaheen | 5–11 | 31.25% |
| BaconatorLar vs Zafina | 5–10 | 33.33% |
| BaconatorLar vs Panda | 2–9 | 18.18% |
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.