| Dakuoten vs Jin | 98–48 | 67.12% |
| Dakuoten vs Kazuya | 83–36 | 69.75% |
| Dakuoten vs Reina | 59–57 | 50.86% |
| Dakuoten vs Dragunov | 58–47 | 55.24% |
| Dakuoten vs King | 49–41 | 54.44% |
| Dakuoten vs Bryan | 51–37 | 57.95% |
| Dakuoten vs Paul | 44–30 | 59.46% |
| Dakuoten vs Steve | 48–21 | 69.57% |
| Dakuoten vs Lidia | 32–37 | 46.38% |
| Dakuoten vs Yoshimitsu | 26–42 | 38.24% |
| Dakuoten vs Hwoarang | 28–29 | 49.12% |
| Dakuoten vs Lars | 30–26 | 53.57% |
| Dakuoten vs Heihachi | 30–23 | 56.60% |
| Dakuoten vs Victor | 29–18 | 61.70% |
| Dakuoten vs Jun | 25–21 | 54.35% |
| Dakuoten vs Lee | 26–17 | 60.47% |
| Dakuoten vs Asuka | 24–18 | 57.14% |
| Dakuoten vs Devil Jin | 26–16 | 61.90% |
| Dakuoten vs Lili | 18–24 | 42.86% |
| Dakuoten vs Alisa | 21–19 | 52.50% |
| Dakuoten vs Nina | 8–22 | 26.67% |
| Dakuoten vs Eddy | 14–15 | 48.28% |
| Dakuoten vs Law | 18–9 | 66.67% |
| Dakuoten vs Feng | 16–11 | 59.26% |
| Dakuoten vs Clive | 15–12 | 55.56% |
| Dakuoten vs Fahkumram | 7–18 | 28.00% |
| Dakuoten vs Claudio | 13–10 | 56.52% |
| Dakuoten vs Shaheen | 13–10 | 56.52% |
| Dakuoten vs Azucena | 8–11 | 42.11% |
| Dakuoten vs Leroy | 9–9 | 50.00% |
| Dakuoten vs Jack-8 | 9–8 | 52.94% |
| Dakuoten vs Xiaoyu | 9–7 | 56.25% |
| Dakuoten vs Raven | 9–7 | 56.25% |
| Dakuoten vs Zafina | 7–6 | 53.85% |
| Dakuoten vs Anna | 7–6 | 53.85% |
| Dakuoten vs Leo | 4–8 | 33.33% |
| Dakuoten vs Miary Zo | 6–3 | 66.67% |
| Dakuoten vs Armor King | 4–4 | 50.00% |
| Dakuoten vs Kuma | 0–4 | 0.00% |
| Dakuoten vs Panda | 0–3 | 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.