| dojoomjo vs Kazuya | 69–44 | 61.06% |
| dojoomjo vs Heihachi | 53–46 | 53.54% |
| dojoomjo vs Dragunov | 55–42 | 56.70% |
| dojoomjo vs Jin | 51–44 | 53.68% |
| dojoomjo vs King | 35–46 | 43.21% |
| dojoomjo vs Devil Jin | 30–41 | 42.25% |
| dojoomjo vs Lili | 31–38 | 44.93% |
| dojoomjo vs Bryan | 36–32 | 52.94% |
| dojoomjo vs Reina | 31–29 | 51.67% |
| dojoomjo vs Steve | 34–19–1 | 64.15% |
| dojoomjo vs Lars | 26–27 | 49.06% |
| dojoomjo vs Law | 30–21 | 58.82% |
| dojoomjo vs Yoshimitsu | 29–22 | 56.86% |
| dojoomjo vs Victor | 18–32 | 36.00% |
| dojoomjo vs Paul | 26–22 | 54.17% |
| dojoomjo vs Hwoarang | 24–24 | 50.00% |
| dojoomjo vs Jun | 21–23 | 47.73% |
| dojoomjo vs Asuka | 24–18 | 57.14% |
| dojoomjo vs Xiaoyu | 21–20 | 51.22% |
| dojoomjo vs Lee | 14–26 | 35.00% |
| dojoomjo vs Leroy | 24–8 | 75.00% |
| dojoomjo vs Zafina | 18–13 | 58.06% |
| dojoomjo vs Raven | 15–14 | 51.72% |
| dojoomjo vs Jack-8 | 13–13 | 50.00% |
| dojoomjo vs Lidia | 15–10 | 60.00% |
| dojoomjo vs Alisa | 8–16 | 33.33% |
| dojoomjo vs Clive | 4–20 | 16.67% |
| dojoomjo vs Azucena | 12–11 | 52.17% |
| dojoomjo vs Shaheen | 12–8 | 60.00% |
| dojoomjo vs Claudio | 8–11 | 42.11% |
| dojoomjo vs Eddy | 10–8 | 55.56% |
| dojoomjo vs Feng | 8–7 | 53.33% |
| dojoomjo vs Nina | 7–8 | 46.67% |
| dojoomjo vs Anna | 5–9 | 35.71% |
| dojoomjo vs Leo | 5–8 | 38.46% |
| dojoomjo vs Kuma | 6–2 | 75.00% |
| dojoomjo vs Armor King | 4–2 | 66.67% |
| dojoomjo vs Panda | 2–0 | 100.00% |
| dojoomjo vs Fahkumram | 2–0 | 100.00% |
| dojoomjo 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.