| DOGYEARS vs King | 37–26 | 58.73% |
| DOGYEARS vs Kazuya | 40–21 | 65.57% |
| DOGYEARS vs Jin | 33–27 | 55.00% |
| DOGYEARS vs Reina | 35–23 | 60.34% |
| DOGYEARS vs Bryan | 28–24 | 53.85% |
| DOGYEARS vs Dragunov | 28–21 | 57.14% |
| DOGYEARS vs Steve | 25–23 | 52.08% |
| DOGYEARS vs Yoshimitsu | 26–21 | 55.32% |
| DOGYEARS vs Law | 22–20 | 52.38% |
| DOGYEARS vs Jun | 30–10 | 75.00% |
| DOGYEARS vs Hwoarang | 19–18 | 51.35% |
| DOGYEARS vs Azucena | 19–15 | 55.88% |
| DOGYEARS vs Devil Jin | 20–9 | 68.97% |
| DOGYEARS vs Alisa | 14–14 | 50.00% |
| DOGYEARS vs Lee | 12–16 | 42.86% |
| DOGYEARS vs Eddy | 9–19 | 32.14% |
| DOGYEARS vs Lili | 11–16 | 40.74% |
| DOGYEARS vs Xiaoyu | 17–8 | 68.00% |
| DOGYEARS vs Asuka | 10–15 | 40.00% |
| DOGYEARS vs Leo | 9–15 | 37.50% |
| DOGYEARS vs Victor | 14–9 | 60.87% |
| DOGYEARS vs Raven | 11–11 | 50.00% |
| DOGYEARS vs Paul | 14–7 | 66.67% |
| DOGYEARS vs Lars | 10–9 | 52.63% |
| DOGYEARS vs Claudio | 11–6 | 64.71% |
| DOGYEARS vs Leroy | 10–6 | 62.50% |
| DOGYEARS vs Feng | 9–6 | 60.00% |
| DOGYEARS vs Heihachi | 11–4 | 73.33% |
| DOGYEARS vs Shaheen | 6–8 | 42.86% |
| DOGYEARS vs Zafina | 6–6 | 50.00% |
| DOGYEARS vs Lidia | 9–3 | 75.00% |
| DOGYEARS vs Nina | 3–8 | 27.27% |
| DOGYEARS vs Kuma | 5–6 | 45.45% |
| DOGYEARS vs Jack-8 | 7–3 | 70.00% |
| DOGYEARS vs Miary Zo | 5–4 | 55.56% |
| DOGYEARS vs Armor King | 7–1 | 87.50% |
| DOGYEARS vs Clive | 4–1 | 80.00% |
| DOGYEARS vs Panda | 2–2 | 50.00% |
| DOGYEARS vs Anna | 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.