| DaCleenah vs Reina | 34–32 | 51.52% |
| DaCleenah vs King | 30–34 | 46.88% |
| DaCleenah vs Steve | 30–19 | 61.22% |
| DaCleenah vs Jin | 19–17 | 52.78% |
| DaCleenah vs Kazuya | 10–26 | 27.78% |
| DaCleenah vs Hwoarang | 14–14 | 50.00% |
| DaCleenah vs Bryan | 5–23 | 17.86% |
| DaCleenah vs Heihachi | 13–14 | 48.15% |
| DaCleenah vs Lidia | 8–16 | 33.33% |
| DaCleenah vs Armor King | 8–16 | 33.33% |
| DaCleenah vs Jun | 8–14 | 36.36% |
| DaCleenah vs Law | 6–15 | 28.57% |
| DaCleenah vs Asuka | 9–12 | 42.86% |
| DaCleenah vs Victor | 7–14 | 33.33% |
| DaCleenah vs Lili | 10–10 | 50.00% |
| DaCleenah vs Lars | 5–12 | 29.41% |
| DaCleenah vs Devil Jin | 9–7 | 56.25% |
| DaCleenah vs Dragunov | 6–9 | 40.00% |
| DaCleenah vs Yoshimitsu | 5–9 | 35.71% |
| DaCleenah vs Clive | 4–9 | 30.77% |
| DaCleenah vs Eddy | 2–9 | 18.18% |
| DaCleenah vs Xiaoyu | 6–4 | 60.00% |
| DaCleenah vs Nina | 1–9 | 10.00% |
| DaCleenah vs Leroy | 5–5 | 50.00% |
| DaCleenah vs Azucena | 8–2 | 80.00% |
| DaCleenah vs Paul | 2–7 | 22.22% |
| DaCleenah vs Lee | 0–8 | 0.00% |
| DaCleenah vs Kuma | 2–6 | 25.00% |
| DaCleenah vs Leo | 4–3 | 57.14% |
| DaCleenah vs Fahkumram | 2–3 | 40.00% |
| DaCleenah vs Feng | 0–4 | 0.00% |
| DaCleenah vs Anna | 0–4 | 0.00% |
| DaCleenah vs Alisa | 0–3 | 0.00% |
| DaCleenah vs Claudio | 0–3 | 0.00% |
| DaCleenah vs Shaheen | 2–1 | 66.67% |
| DaCleenah vs Panda | 2–1 | 66.67% |
| DaCleenah vs Zafina | 2–1 | 66.67% |
| DaCleenah vs Raven | 0–3 | 0.00% |
| DaCleenah vs Jack-8 | 0–2 | 0.00% |
| DaCleenah vs Miary Zo | 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.