| stellarluna vs Heihachi | 6–9 | 40.00% |
| stellarluna vs Lili | 6–8 | 42.86% |
| stellarluna vs Kazuya | 8–5 | 61.54% |
| stellarluna vs Reina | 12–1 | 92.31% |
| stellarluna vs Miary Zo | 6–6 | 50.00% |
| stellarluna vs Dragunov | 7–4 | 63.64% |
| stellarluna vs Alisa | 7–3 | 70.00% |
| stellarluna vs Law | 8–1 | 88.89% |
| stellarluna vs King | 5–4 | 55.56% |
| stellarluna vs Hwoarang | 4–5 | 44.44% |
| stellarluna vs Jin | 6–2 | 75.00% |
| stellarluna vs Steve | 5–2 | 71.43% |
| stellarluna vs Nina | 3–4 | 42.86% |
| stellarluna vs Eddy | 3–4 | 42.86% |
| stellarluna vs Armor King | 2–5 | 28.57% |
| stellarluna vs Jun | 3–3 | 50.00% |
| stellarluna vs Yoshimitsu | 3–2 | 60.00% |
| stellarluna vs Bryan | 1–4 | 20.00% |
| stellarluna vs Asuka | 4–1 | 80.00% |
| stellarluna vs Leo | 2–3 | 40.00% |
| stellarluna vs Raven | 1–4 | 20.00% |
| stellarluna vs Xiaoyu | 3–1 | 75.00% |
| stellarluna vs Fahkumram | 1–3 | 25.00% |
| stellarluna vs Paul | 1–2 | 33.33% |
| stellarluna vs Devil Jin | 1–2 | 33.33% |
| stellarluna vs Leroy | 2–1 | 66.67% |
| stellarluna vs Feng | 0–2 | 0.00% |
| stellarluna vs Lars | 1–1 | 50.00% |
| stellarluna vs Zafina | 2–0 | 100.00% |
| stellarluna vs Azucena | 1–1 | 50.00% |
| stellarluna vs Lidia | 2–0 | 100.00% |
| stellarluna vs Lee | 0–1 | 0.00% |
| stellarluna vs Clive | 1–0 | 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.