| OMGblac vs King | 132–122 | 51.97% |
| OMGblac vs Hwoarang | 131–123 | 51.57% |
| OMGblac vs Jin | 123–127 | 49.20% |
| OMGblac vs Steve | 125–118 | 51.44% |
| OMGblac vs Bryan | 125–98 | 56.05% |
| OMGblac vs Reina | 96–125 | 43.44% |
| OMGblac vs Kazuya | 100–116 | 46.30% |
| OMGblac vs Law | 115–92 | 55.56% |
| OMGblac vs Paul | 107–86 | 55.44% |
| OMGblac vs Dragunov | 99–76–1 | 56.57% |
| OMGblac vs Lee | 87–80 | 52.10% |
| OMGblac vs Lili | 70–81 | 46.36% |
| OMGblac vs Lars | 87–64 | 57.62% |
| OMGblac vs Yoshimitsu | 78–70 | 52.70% |
| OMGblac vs Asuka | 76–68 | 52.78% |
| OMGblac vs Feng | 63–69 | 47.73% |
| OMGblac vs Heihachi | 68–59 | 53.54% |
| OMGblac vs Xiaoyu | 60–64 | 48.39% |
| OMGblac vs Jun | 60–61 | 49.59% |
| OMGblac vs Azucena | 53–67 | 44.17% |
| OMGblac vs Nina | 52–59 | 46.85% |
| OMGblac vs Victor | 37–72 | 33.94% |
| OMGblac vs Raven | 57–51 | 52.78% |
| OMGblac vs Leo | 51–56 | 47.66% |
| OMGblac vs Eddy | 43–49 | 46.74% |
| OMGblac vs Jack-8 | 38–39 | 49.35% |
| OMGblac vs Alisa | 46–31 | 59.74% |
| OMGblac vs Leroy | 31–37 | 45.59% |
| OMGblac vs Devil Jin | 35–32 | 52.24% |
| OMGblac vs Claudio | 27–38 | 41.54% |
| OMGblac vs Armor King | 37–28 | 56.92% |
| OMGblac vs Lidia | 24–39 | 38.10% |
| OMGblac vs Fahkumram | 33–20 | 62.26% |
| OMGblac vs Kuma | 18–32 | 36.00% |
| OMGblac vs Zafina | 17–33 | 34.00% |
| OMGblac vs Shaheen | 23–25 | 47.92% |
| OMGblac vs Clive | 17–28 | 37.78% |
| OMGblac vs Panda | 22–16 | 57.89% |
| OMGblac vs Anna | 13–24 | 35.14% |
| OMGblac vs Miary Zo | 5–15 | 25.00% |
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.