| Doblin vs Jin | 19–19 | 50.00% |
| Doblin vs Armor King | 12–26 | 31.58% |
| Doblin vs King | 15–19 | 44.12% |
| Doblin vs Clive | 17–16 | 51.52% |
| Doblin vs Kazuya | 16–16 | 50.00% |
| Doblin vs Hwoarang | 19–11 | 63.33% |
| Doblin vs Law | 16–9 | 64.00% |
| Doblin vs Steve | 17–8 | 68.00% |
| Doblin vs Reina | 10–14 | 41.67% |
| Doblin vs Xiaoyu | 13–8 | 61.90% |
| Doblin vs Dragunov | 7–11 | 38.89% |
| Doblin vs Paul | 5–10 | 33.33% |
| Doblin vs Eddy | 5–10 | 33.33% |
| Doblin vs Heihachi | 9–5 | 64.29% |
| Doblin vs Jun | 9–4 | 69.23% |
| Doblin vs Lidia | 6–6 | 50.00% |
| Doblin vs Bryan | 2–8 | 20.00% |
| Doblin vs Asuka | 6–4 | 60.00% |
| Doblin vs Lee | 4–6 | 40.00% |
| Doblin vs Yoshimitsu | 3–6 | 33.33% |
| Doblin vs Jack-8 | 5–4 | 55.56% |
| Doblin vs Leo | 1–8 | 11.11% |
| Doblin vs Azucena | 2–7 | 22.22% |
| Doblin vs Lili | 5–3 | 62.50% |
| Doblin vs Alisa | 4–4 | 50.00% |
| Doblin vs Shaheen | 4–3 | 57.14% |
| Doblin vs Nina | 3–4 | 42.86% |
| Doblin vs Devil Jin | 3–3 | 50.00% |
| Doblin vs Anna | 2–4 | 33.33% |
| Doblin vs Zafina | 0–3 | 0.00% |
| Doblin vs Leroy | 2–1 | 66.67% |
| Doblin vs Raven | 3–0 | 100.00% |
| Doblin vs Lars | 0–2 | 0.00% |
| Doblin vs Claudio | 2–0 | 100.00% |
| Doblin vs Feng | 0–1 | 0.00% |
| Doblin vs Panda | 1–0 | 100.00% |
| Doblin vs Victor | 1–0 | 100.00% |
| Doblin vs Fahkumram | 1–0 | 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.