| drakeloster vs Bryan | 27–41 | 39.71% |
| drakeloster vs Hwoarang | 41–23 | 64.06% |
| drakeloster vs Armor King | 30–34 | 46.88% |
| drakeloster vs King | 29–34 | 46.03% |
| drakeloster vs Kazuya | 26–35 | 42.62% |
| drakeloster vs Dragunov | 40–16 | 71.43% |
| drakeloster vs Reina | 34–19 | 64.15% |
| drakeloster vs Jin | 23–29 | 44.23% |
| drakeloster vs Law | 29–20 | 59.18% |
| drakeloster vs Lili | 25–18 | 58.14% |
| drakeloster vs Jun | 21–21 | 50.00% |
| drakeloster vs Steve | 20–21 | 48.78% |
| drakeloster vs Victor | 18–21 | 46.15% |
| drakeloster vs Eddy | 11–23 | 32.35% |
| drakeloster vs Paul | 14–19 | 42.42% |
| drakeloster vs Heihachi | 14–15 | 48.28% |
| drakeloster vs Asuka | 14–13 | 51.85% |
| drakeloster vs Devil Jin | 14–13 | 51.85% |
| drakeloster vs Nina | 11–16 | 40.74% |
| drakeloster vs Xiaoyu | 15–11 | 57.69% |
| drakeloster vs Azucena | 10–16 | 38.46% |
| drakeloster vs Lee | 6–19 | 24.00% |
| drakeloster vs Lidia | 8–14 | 36.36% |
| drakeloster vs Anna | 11–11 | 50.00% |
| drakeloster vs Clive | 13–8 | 61.90% |
| drakeloster vs Fahkumram | 5–12 | 29.41% |
| drakeloster vs Yoshimitsu | 12–4 | 75.00% |
| drakeloster vs Claudio | 6–9 | 40.00% |
| drakeloster vs Alisa | 8–6 | 57.14% |
| drakeloster vs Lars | 5–8 | 38.46% |
| drakeloster vs Jack-8 | 6–6 | 50.00% |
| drakeloster vs Leroy | 5–6 | 45.45% |
| drakeloster vs Leo | 6–4 | 60.00% |
| drakeloster vs Kuma | 1–7 | 12.50% |
| drakeloster vs Raven | 6–1 | 85.71% |
| drakeloster vs Miary Zo | 3–4 | 42.86% |
| drakeloster vs Zafina | 6–0 | 100.00% |
| drakeloster vs Feng | 1–4 | 20.00% |
| drakeloster vs Shaheen | 2–2 | 50.00% |
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.