| Dearness vs Jin | 16–14 | 53.33% |
| Dearness vs Kazuya | 21–9 | 70.00% |
| Dearness vs Reina | 18–9 | 66.67% |
| Dearness vs King | 15–10 | 60.00% |
| Dearness vs Dragunov | 16–8 | 66.67% |
| Dearness vs Hwoarang | 11–9 | 55.00% |
| Dearness vs Devil Jin | 9–6 | 60.00% |
| Dearness vs Lili | 11–4 | 73.33% |
| Dearness vs Jun | 5–8 | 38.46% |
| Dearness vs Paul | 5–7 | 41.67% |
| Dearness vs Bryan | 8–4 | 66.67% |
| Dearness vs Victor | 5–7 | 41.67% |
| Dearness vs Alisa | 4–7 | 36.36% |
| Dearness vs Steve | 6–4 | 60.00% |
| Dearness vs Nina | 4–6 | 40.00% |
| Dearness vs Azucena | 8–2 | 80.00% |
| Dearness vs Eddy | 6–4 | 60.00% |
| Dearness vs Law | 6–3 | 66.67% |
| Dearness vs Lee | 7–2 | 77.78% |
| Dearness vs Yoshimitsu | 4–4 | 50.00% |
| Dearness vs Jack-8 | 6–2 | 75.00% |
| Dearness vs Asuka | 6–2 | 75.00% |
| Dearness vs Feng | 3–4 | 42.86% |
| Dearness vs Shaheen | 6–1 | 85.71% |
| Dearness vs Leroy | 5–1 | 83.33% |
| Dearness vs Leo | 1–4 | 20.00% |
| Dearness vs Heihachi | 2–3 | 40.00% |
| Dearness vs Xiaoyu | 0–4 | 0.00% |
| Dearness vs Lars | 4–0 | 100.00% |
| Dearness vs Kuma | 1–2 | 33.33% |
| Dearness vs Clive | 2–1 | 66.67% |
| Dearness vs Armor King | 2–1 | 66.67% |
| Dearness vs Claudio | 2–0 | 100.00% |
| Dearness vs Zafina | 2–0 | 100.00% |
| Dearness vs Raven | 1–1 | 50.00% |
| Dearness vs Miary Zo | 2–0 | 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.