| L0wFrequency vs King | 66–84 | 44.00% |
| L0wFrequency vs Jin | 46–81 | 36.22% |
| L0wFrequency vs Kazuya | 61–64 | 48.80% |
| L0wFrequency vs Bryan | 60–53 | 53.10% |
| L0wFrequency vs Steve | 49–54 | 47.57% |
| L0wFrequency vs Hwoarang | 56–44 | 56.00% |
| L0wFrequency vs Reina | 46–51 | 47.42% |
| L0wFrequency vs Azucena | 51–37 | 57.95% |
| L0wFrequency vs Lee | 32–50 | 39.02% |
| L0wFrequency vs Dragunov | 34–43 | 44.16% |
| L0wFrequency vs Paul | 34–36 | 48.57% |
| L0wFrequency vs Lili | 30–39 | 43.48% |
| L0wFrequency vs Yoshimitsu | 26–34 | 43.33% |
| L0wFrequency vs Law | 21–33 | 38.89% |
| L0wFrequency vs Victor | 21–31 | 40.38% |
| L0wFrequency vs Jun | 27–23 | 54.00% |
| L0wFrequency vs Nina | 20–29 | 40.82% |
| L0wFrequency vs Xiaoyu | 29–18 | 61.70% |
| L0wFrequency vs Asuka | 20–24 | 45.45% |
| L0wFrequency vs Devil Jin | 20–21 | 48.78% |
| L0wFrequency vs Feng | 15–24 | 38.46% |
| L0wFrequency vs Eddy | 15–23 | 39.47% |
| L0wFrequency vs Leo | 19–18 | 51.35% |
| L0wFrequency vs Lars | 11–23 | 32.35% |
| L0wFrequency vs Jack-8 | 16–17 | 48.48% |
| L0wFrequency vs Leroy | 13–18 | 41.94% |
| L0wFrequency vs Alisa | 13–12 | 52.00% |
| L0wFrequency vs Heihachi | 13–12 | 52.00% |
| L0wFrequency vs Armor King | 9–16 | 36.00% |
| L0wFrequency vs Raven | 11–7 | 61.11% |
| L0wFrequency vs Claudio | 6–10 | 37.50% |
| L0wFrequency vs Fahkumram | 8–6 | 57.14% |
| L0wFrequency vs Zafina | 7–6 | 53.85% |
| L0wFrequency vs Lidia | 5–8 | 38.46% |
| L0wFrequency vs Kuma | 2–8 | 20.00% |
| L0wFrequency vs Anna | 3–6 | 33.33% |
| L0wFrequency vs Shaheen | 3–5 | 37.50% |
| L0wFrequency vs Panda | 3–5 | 37.50% |
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.