| Dellon vs Bryan | 18–18 | 50.00% |
| Dellon vs Jin | 25–9 | 73.53% |
| Dellon vs Reina | 24–8 | 75.00% |
| Dellon vs Kazuya | 14–16 | 46.67% |
| Dellon vs Xiaoyu | 13–15 | 46.43% |
| Dellon vs Fahkumram | 11–16 | 40.74% |
| Dellon vs Steve | 13–11 | 54.17% |
| Dellon vs King | 10–11 | 47.62% |
| Dellon vs Paul | 7–13 | 35.00% |
| Dellon vs Lili | 8–11 | 42.11% |
| Dellon vs Dragunov | 8–11 | 42.11% |
| Dellon vs Lee | 1–18 | 5.26% |
| Dellon vs Raven | 11–8 | 57.89% |
| Dellon vs Hwoarang | 9–9 | 50.00% |
| Dellon vs Azucena | 9–8 | 52.94% |
| Dellon vs Jun | 8–8 | 50.00% |
| Dellon vs Devil Jin | 5–8 | 38.46% |
| Dellon vs Victor | 9–4 | 69.23% |
| Dellon vs Eddy | 9–4 | 69.23% |
| Dellon vs Jack-8 | 5–7 | 41.67% |
| Dellon vs Asuka | 6–6 | 50.00% |
| Dellon vs Leroy | 6–6 | 50.00% |
| Dellon vs Lars | 4–5 | 44.44% |
| Dellon vs Yoshimitsu | 2–6 | 25.00% |
| Dellon vs Alisa | 3–5 | 37.50% |
| Dellon vs Zafina | 2–5 | 28.57% |
| Dellon vs Heihachi | 5–2 | 71.43% |
| Dellon vs Feng | 1–5 | 16.67% |
| Dellon vs Nina | 5–1 | 83.33% |
| Dellon vs Armor King | 4–2 | 66.67% |
| Dellon vs Lidia | 2–3 | 40.00% |
| Dellon vs Law | 0–4 | 0.00% |
| Dellon vs Anna | 2–2 | 50.00% |
| Dellon vs Leo | 2–1 | 66.67% |
| Dellon vs Claudio | 0–1 | 0.00% |
| Dellon vs Kuma | 0–1 | 0.00% |
| Dellon vs Panda | 0–1 | 0.00% |
| Dellon vs Miary Zo | 0–1 | 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.