| L0NE117 vs Kazuya | 155–164 | 48.59% |
| L0NE117 vs King | 146–148 | 49.66% |
| L0NE117 vs Jin | 111–146 | 43.19% |
| L0NE117 vs Reina | 92–120 | 43.40% |
| L0NE117 vs Law | 100–89–1 | 52.91% |
| L0NE117 vs Hwoarang | 63–122 | 34.05% |
| L0NE117 vs Bryan | 63–108 | 36.84% |
| L0NE117 vs Steve | 83–84 | 49.70% |
| L0NE117 vs Heihachi | 53–84 | 38.69% |
| L0NE117 vs Dragunov | 55–65 | 45.83% |
| L0NE117 vs Azucena | 65–53 | 55.08% |
| L0NE117 vs Asuka | 52–64 | 44.83% |
| L0NE117 vs Paul | 57–52 | 52.29% |
| L0NE117 vs Lars | 48–59 | 44.86% |
| L0NE117 vs Xiaoyu | 48–58 | 45.28% |
| L0NE117 vs Jun | 43–58 | 42.57% |
| L0NE117 vs Lili | 42–58 | 42.00% |
| L0NE117 vs Lee | 34–62 | 35.42% |
| L0NE117 vs Yoshimitsu | 41–53–1 | 43.62% |
| L0NE117 vs Devil Jin | 30–57 | 34.48% |
| L0NE117 vs Lidia | 43–43 | 50.00% |
| L0NE117 vs Eddy | 38–45 | 45.78% |
| L0NE117 vs Nina | 32–46 | 41.03% |
| L0NE117 vs Raven | 36–39 | 48.00% |
| L0NE117 vs Victor | 35–39 | 47.30% |
| L0NE117 vs Leo | 38–34 | 52.78% |
| L0NE117 vs Leroy | 34–35 | 49.28% |
| L0NE117 vs Fahkumram | 31–30 | 50.82% |
| L0NE117 vs Alisa | 31–23 | 57.41% |
| L0NE117 vs Anna | 22–30 | 42.31% |
| L0NE117 vs Feng | 28–23 | 54.90% |
| L0NE117 vs Armor King | 21–30 | 41.18% |
| L0NE117 vs Kuma | 20–27 | 42.55% |
| L0NE117 vs Claudio | 19–21 | 47.50% |
| L0NE117 vs Jack-8 | 16–19 | 45.71% |
| L0NE117 vs Clive | 16–19 | 45.71% |
| L0NE117 vs Zafina | 13–21 | 38.24% |
| L0NE117 vs Miary Zo | 15–15 | 50.00% |
| L0NE117 vs Shaheen | 10–16 | 38.46% |
| L0NE117 vs Panda | 9–6 | 60.00% |
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.