| DEM | Ardere vs King | 8–11 | 42.11% |
| DEM | Ardere vs Hwoarang | 5–5 | 50.00% |
| DEM | Ardere vs Steve | 3–6 | 33.33% |
| DEM | Ardere vs Paul | 4–4 | 50.00% |
| DEM | Ardere vs Kazuya | 5–3 | 62.50% |
| DEM | Ardere vs Law | 2–5 | 28.57% |
| DEM | Ardere vs Reina | 6–1 | 85.71% |
| DEM | Ardere vs Azucena | 3–4 | 42.86% |
| DEM | Ardere vs Anna | 6–1 | 85.71% |
| DEM | Ardere vs Jin | 4–2 | 66.67% |
| DEM | Ardere vs Bryan | 5–1 | 83.33% |
| DEM | Ardere vs Kuma | 4–1 | 80.00% |
| DEM | Ardere vs Eddy | 2–3 | 40.00% |
| DEM | Ardere vs Lee | 2–2 | 50.00% |
| DEM | Ardere vs Heihachi | 4–0 | 100.00% |
| DEM | Ardere vs Armor King | 2–2 | 50.00% |
| DEM | Ardere vs Feng | 1–2 | 33.33% |
| DEM | Ardere vs Shaheen | 1–2 | 33.33% |
| DEM | Ardere vs Zafina | 2–1 | 66.67% |
| DEM | Ardere vs Lidia | 2–1 | 66.67% |
| DEM | Ardere vs Clive | 2–1 | 66.67% |
| DEM | Ardere vs Yoshimitsu | 2–0 | 100.00% |
| DEM | Ardere vs Xiaoyu | 2–0 | 100.00% |
| DEM | Ardere vs Devil Jin | 2–0 | 100.00% |
| DEM | Ardere vs Lili | 1–1 | 50.00% |
| DEM | Ardere vs Dragunov | 1–1 | 50.00% |
| DEM | Ardere vs Lars | 0–2 | 0.00% |
| DEM | Ardere vs Alisa | 2–0 | 100.00% |
| DEM | Ardere vs Nina | 2–0 | 100.00% |
| DEM | Ardere vs Victor | 2–0 | 100.00% |
| DEM | Ardere vs Asuka | 1–0 | 100.00% |
| DEM | Ardere vs Raven | 0–1 | 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.