| DLNukes vs Bryan | 25–19 | 56.82% |
| DLNukes vs King | 21–22 | 48.84% |
| DLNukes vs Eddy | 22–19 | 53.66% |
| DLNukes vs Hwoarang | 18–14 | 56.25% |
| DLNukes vs Jin | 12–20 | 37.50% |
| DLNukes vs Victor | 13–12 | 52.00% |
| DLNukes vs Kazuya | 11–12 | 47.83% |
| DLNukes vs Steve | 7–14 | 33.33% |
| DLNukes vs Reina | 12–8 | 60.00% |
| DLNukes vs Azucena | 10–10 | 50.00% |
| DLNukes vs Xiaoyu | 8–10 | 44.44% |
| DLNukes vs Lili | 12–6 | 66.67% |
| DLNukes vs Jun | 10–8 | 55.56% |
| DLNukes vs Law | 9–8 | 52.94% |
| DLNukes vs Clive | 9–7 | 56.25% |
| DLNukes vs Paul | 8–7 | 53.33% |
| DLNukes vs Dragunov | 8–7 | 53.33% |
| DLNukes vs Lee | 8–6 | 57.14% |
| DLNukes vs Feng | 4–9 | 30.77% |
| DLNukes vs Nina | 3–8 | 27.27% |
| DLNukes vs Yoshimitsu | 4–5 | 44.44% |
| DLNukes vs Jack-8 | 5–4 | 55.56% |
| DLNukes vs Asuka | 3–6 | 33.33% |
| DLNukes vs Leroy | 1–8 | 11.11% |
| DLNukes vs Raven | 4–5 | 44.44% |
| DLNukes vs Kuma | 6–2 | 75.00% |
| DLNukes vs Heihachi | 5–2 | 71.43% |
| DLNukes vs Lars | 1–5 | 16.67% |
| DLNukes vs Lidia | 3–2 | 60.00% |
| DLNukes vs Alisa | 3–1 | 75.00% |
| DLNukes vs Fahkumram | 2–1 | 66.67% |
| DLNukes vs Devil Jin | 2–0 | 100.00% |
| DLNukes vs Claudio | 2–0 | 100.00% |
| DLNukes vs Shaheen | 0–2 | 0.00% |
| DLNukes vs Zafina | 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.