| Dolocode vs Jin | 35–36 | 49.30% |
| Dolocode vs Kazuya | 45–22 | 67.16% |
| Dolocode vs King | 38–27 | 58.46% |
| Dolocode vs Reina | 40–25 | 61.54% |
| Dolocode vs Bryan | 20–36 | 35.71% |
| Dolocode vs Law | 30–24 | 55.56% |
| Dolocode vs Yoshimitsu | 26–24 | 52.00% |
| Dolocode vs Hwoarang | 21–29 | 42.00% |
| Dolocode vs Paul | 28–21 | 57.14% |
| Dolocode vs Eddy | 31–14 | 68.89% |
| Dolocode vs Lee | 28–16 | 63.64% |
| Dolocode vs Dragunov | 22–21 | 51.16% |
| Dolocode vs Steve | 24–16 | 60.00% |
| Dolocode vs Jun | 24–12 | 66.67% |
| Dolocode vs Feng | 17–17 | 50.00% |
| Dolocode vs Devil Jin | 14–19 | 42.42% |
| Dolocode vs Lars | 20–13 | 60.61% |
| Dolocode vs Lili | 19–13 | 59.38% |
| Dolocode vs Victor | 21–11 | 65.62% |
| Dolocode vs Asuka | 16–15 | 51.61% |
| Dolocode vs Nina | 15–15 | 50.00% |
| Dolocode vs Leroy | 20–5 | 80.00% |
| Dolocode vs Azucena | 17–8 | 68.00% |
| Dolocode vs Claudio | 15–9 | 62.50% |
| Dolocode vs Jack-8 | 10–12 | 45.45% |
| Dolocode vs Raven | 10–12 | 45.45% |
| Dolocode vs Armor King | 7–15 | 31.82% |
| Dolocode vs Xiaoyu | 11–9 | 55.00% |
| Dolocode vs Leo | 8–9 | 47.06% |
| Dolocode vs Alisa | 7–8 | 46.67% |
| Dolocode vs Clive | 9–4 | 69.23% |
| Dolocode vs Kuma | 8–4 | 66.67% |
| Dolocode vs Heihachi | 4–8 | 33.33% |
| Dolocode vs Zafina | 6–4 | 60.00% |
| Dolocode vs Lidia | 1–8 | 11.11% |
| Dolocode vs Miary Zo | 5–3 | 62.50% |
| Dolocode vs Shaheen | 6–0 | 100.00% |
| Dolocode vs Fahkumram | 3–3 | 50.00% |
| Dolocode vs Panda | 2–3 | 40.00% |
| Dolocode vs Anna | 1–2 | 33.33% |
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.