| SliceOG vs Bryan | 105–53 | 66.46% |
| SliceOG vs Jin | 101–51 | 66.45% |
| SliceOG vs Kazuya | 75–32 | 70.09% |
| SliceOG vs Hwoarang | 58–46 | 55.77% |
| SliceOG vs Reina | 72–29 | 71.29% |
| SliceOG vs Steve | 63–36 | 63.64% |
| SliceOG vs Dragunov | 60–39 | 60.61% |
| SliceOG vs King | 64–31 | 67.37% |
| SliceOG vs Heihachi | 60–30 | 66.67% |
| SliceOG vs Paul | 53–31 | 63.10% |
| SliceOG vs Feng | 45–36 | 55.56% |
| SliceOG vs Lili | 35–40 | 46.67% |
| SliceOG vs Jun | 43–31 | 58.11% |
| SliceOG vs Lee | 45–27 | 62.50% |
| SliceOG vs Lars | 35–36 | 49.30% |
| SliceOG vs Jack-8 | 40–29 | 57.97% |
| SliceOG vs Azucena | 36–33 | 52.17% |
| SliceOG vs Armor King | 44–17 | 72.13% |
| SliceOG vs Victor | 24–34 | 41.38% |
| SliceOG vs Lidia | 36–20 | 64.29% |
| SliceOG vs Law | 32–23 | 58.18% |
| SliceOG vs Eddy | 31–24 | 56.36% |
| SliceOG vs Yoshimitsu | 35–15 | 70.00% |
| SliceOG vs Asuka | 29–21 | 58.00% |
| SliceOG vs Xiaoyu | 31–17 | 64.58% |
| SliceOG vs Devil Jin | 30–17 | 63.83% |
| SliceOG vs Leo | 26–20 | 56.52% |
| SliceOG vs Claudio | 22–24 | 47.83% |
| SliceOG vs Alisa | 19–24 | 44.19% |
| SliceOG vs Nina | 17–20 | 45.95% |
| SliceOG vs Leroy | 21–16 | 56.76% |
| SliceOG vs Zafina | 21–15 | 58.33% |
| SliceOG vs Fahkumram | 18–16 | 52.94% |
| SliceOG vs Raven | 12–20 | 37.50% |
| SliceOG vs Kuma | 16–13 | 55.17% |
| SliceOG vs Shaheen | 13–9 | 59.09% |
| SliceOG vs Clive | 8–9 | 47.06% |
| SliceOG vs Anna | 5–5 | 50.00% |
| SliceOG vs Panda | 3–2 | 60.00% |
| SliceOG vs Miary Zo | 0–1 | 0.00% |
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.