| ShmoneLiv vs Bryan | 208–118 | 63.80% |
| ShmoneLiv vs Kazuya | 171–139 | 55.16% |
| ShmoneLiv vs Jin | 124–121 | 50.61% |
| ShmoneLiv vs King | 131–80 | 62.09% |
| ShmoneLiv vs Dragunov | 116–93 | 55.50% |
| ShmoneLiv vs Reina | 114–70 | 61.96% |
| ShmoneLiv vs Law | 129–46 | 73.71% |
| ShmoneLiv vs Lars | 85–87 | 49.42% |
| ShmoneLiv vs Heihachi | 95–69 | 57.93% |
| ShmoneLiv vs Yoshimitsu | 97–57 | 62.99% |
| ShmoneLiv vs Hwoarang | 84–70 | 54.55% |
| ShmoneLiv vs Lee | 94–53 | 63.95% |
| ShmoneLiv vs Lili | 90–54 | 62.50% |
| ShmoneLiv vs Steve | 88–55 | 61.54% |
| ShmoneLiv vs Azucena | 87–53 | 62.14% |
| ShmoneLiv vs Lidia | 74–59 | 55.64% |
| ShmoneLiv vs Paul | 71–61 | 53.79% |
| ShmoneLiv vs Devil Jin | 62–66 | 48.44% |
| ShmoneLiv vs Jun | 70–54 | 56.45% |
| ShmoneLiv vs Armor King | 69–43 | 61.61% |
| ShmoneLiv vs Clive | 58–53 | 52.25% |
| ShmoneLiv vs Xiaoyu | 65–32 | 67.01% |
| ShmoneLiv vs Feng | 47–50 | 48.45% |
| ShmoneLiv vs Victor | 52–44 | 54.17% |
| ShmoneLiv vs Eddy | 55–40 | 57.89% |
| ShmoneLiv vs Nina | 51–42 | 54.84% |
| ShmoneLiv vs Raven | 57–35 | 61.96% |
| ShmoneLiv vs Fahkumram | 55–25 | 68.75% |
| ShmoneLiv vs Asuka | 42–33 | 56.00% |
| ShmoneLiv vs Alisa | 47–27 | 63.51% |
| ShmoneLiv vs Leo | 49–22 | 69.01% |
| ShmoneLiv vs Kuma | 44–25 | 63.77% |
| ShmoneLiv vs Zafina | 39–29 | 57.35% |
| ShmoneLiv vs Jack-8 | 32–33 | 49.23% |
| ShmoneLiv vs Claudio | 36–28 | 56.25% |
| ShmoneLiv vs Miary Zo | 29–26 | 52.73% |
| ShmoneLiv vs Shaheen | 26–27 | 49.06% |
| ShmoneLiv vs Leroy | 26–27 | 49.06% |
| ShmoneLiv vs Anna | 24–14 | 63.16% |
| ShmoneLiv vs Panda | 18–16 | 52.94% |
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.