| HabboMirror vs King | 30–24 | 55.56% |
| HabboMirror vs Reina | 20–19 | 51.28% |
| HabboMirror vs Jin | 14–24 | 36.84% |
| HabboMirror vs Kazuya | 21–12 | 63.64% |
| HabboMirror vs Law | 18–14 | 56.25% |
| HabboMirror vs Hwoarang | 16–16 | 50.00% |
| HabboMirror vs Steve | 11–16 | 40.74% |
| HabboMirror vs Asuka | 11–13 | 45.83% |
| HabboMirror vs Lili | 12–11 | 52.17% |
| HabboMirror vs Yoshimitsu | 6–16 | 27.27% |
| HabboMirror vs Leo | 10–12 | 45.45% |
| HabboMirror vs Jun | 7–10 | 41.18% |
| HabboMirror vs Heihachi | 8–8 | 50.00% |
| HabboMirror vs Jack-8 | 6–9 | 40.00% |
| HabboMirror vs Dragunov | 9–6 | 60.00% |
| HabboMirror vs Alisa | 8–7 | 53.33% |
| HabboMirror vs Xiaoyu | 6–8 | 42.86% |
| HabboMirror vs Nina | 11–3 | 78.57% |
| HabboMirror vs Clive | 9–5 | 64.29% |
| HabboMirror vs Bryan | 5–8 | 38.46% |
| HabboMirror vs Feng | 5–8 | 38.46% |
| HabboMirror vs Victor | 9–4 | 69.23% |
| HabboMirror vs Eddy | 4–9 | 30.77% |
| HabboMirror vs Paul | 4–8 | 33.33% |
| HabboMirror vs Lee | 5–7 | 41.67% |
| HabboMirror vs Devil Jin | 6–5 | 54.55% |
| HabboMirror vs Lars | 6–5 | 54.55% |
| HabboMirror vs Raven | 6–5 | 54.55% |
| HabboMirror vs Kuma | 4–6 | 40.00% |
| HabboMirror vs Miary Zo | 5–5 | 50.00% |
| HabboMirror vs Azucena | 5–3 | 62.50% |
| HabboMirror vs Claudio | 2–4 | 33.33% |
| HabboMirror vs Fahkumram | 4–2 | 66.67% |
| HabboMirror vs Armor King | 0–4 | 0.00% |
| HabboMirror vs Lidia | 1–2 | 33.33% |
| HabboMirror vs Anna | 1–2 | 33.33% |
| HabboMirror vs Shaheen | 0–2 | 0.00% |
| HabboMirror vs Leroy | 0–2 | 0.00% |
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.