| FeeLaH267 vs King | 77–89 | 46.39% |
| FeeLaH267 vs Steve | 67–66 | 50.38% |
| FeeLaH267 vs Bryan | 40–80 | 33.33% |
| FeeLaH267 vs Jin | 45–47 | 48.91% |
| FeeLaH267 vs Heihachi | 34–52 | 39.53% |
| FeeLaH267 vs Fahkumram | 33–50 | 39.76% |
| FeeLaH267 vs Kazuya | 35–45 | 43.75% |
| FeeLaH267 vs Devil Jin | 36–40 | 47.37% |
| FeeLaH267 vs Law | 32–37 | 46.38% |
| FeeLaH267 vs Hwoarang | 33–35 | 48.53% |
| FeeLaH267 vs Lee | 29–34 | 46.03% |
| FeeLaH267 vs Reina | 22–34 | 39.29% |
| FeeLaH267 vs Lili | 19–33 | 36.54% |
| FeeLaH267 vs Armor King | 11–33 | 25.00% |
| FeeLaH267 vs Dragunov | 13–30 | 30.23% |
| FeeLaH267 vs Eddy | 16–27 | 37.21% |
| FeeLaH267 vs Yoshimitsu | 14–28 | 33.33% |
| FeeLaH267 vs Clive | 19–22 | 46.34% |
| FeeLaH267 vs Paul | 10–29 | 25.64% |
| FeeLaH267 vs Asuka | 10–19 | 34.48% |
| FeeLaH267 vs Victor | 12–17 | 41.38% |
| FeeLaH267 vs Raven | 14–12 | 53.85% |
| FeeLaH267 vs Jun | 9–15 | 37.50% |
| FeeLaH267 vs Alisa | 11–12 | 47.83% |
| FeeLaH267 vs Azucena | 13–10 | 56.52% |
| FeeLaH267 vs Anna | 7–15 | 31.82% |
| FeeLaH267 vs Xiaoyu | 14–5 | 73.68% |
| FeeLaH267 vs Lars | 9–9 | 50.00% |
| FeeLaH267 vs Jack-8 | 5–12 | 29.41% |
| FeeLaH267 vs Claudio | 6–11 | 35.29% |
| FeeLaH267 vs Kuma | 7–4 | 63.64% |
| FeeLaH267 vs Leo | 4–6 | 40.00% |
| FeeLaH267 vs Zafina | 7–3 | 70.00% |
| FeeLaH267 vs Feng | 3–6 | 33.33% |
| FeeLaH267 vs Shaheen | 2–7 | 22.22% |
| FeeLaH267 vs Nina | 3–6 | 33.33% |
| FeeLaH267 vs Lidia | 5–4 | 55.56% |
| FeeLaH267 vs Leroy | 1–2 | 33.33% |
| FeeLaH267 vs Miary Zo | 2–0 | 100.00% |
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.