| DIAVOLO vs Kazuya | 12–17 | 41.38% |
| DIAVOLO vs King | 18–10 | 64.29% |
| DIAVOLO vs Armor King | 12–7 | 63.16% |
| DIAVOLO vs Paul | 10–7 | 58.82% |
| DIAVOLO vs Dragunov | 11–6 | 64.71% |
| DIAVOLO vs Yoshimitsu | 9–7 | 56.25% |
| DIAVOLO vs Jin | 8–8 | 50.00% |
| DIAVOLO vs Reina | 9–7 | 56.25% |
| DIAVOLO vs Bryan | 8–7 | 53.33% |
| DIAVOLO vs Law | 6–7 | 46.15% |
| DIAVOLO vs Devil Jin | 9–4 | 69.23% |
| DIAVOLO vs Xiaoyu | 4–8 | 33.33% |
| DIAVOLO vs Heihachi | 6–6 | 50.00% |
| DIAVOLO vs Steve | 6–5 | 54.55% |
| DIAVOLO vs Leroy | 8–3 | 72.73% |
| DIAVOLO vs Lidia | 7–4 | 63.64% |
| DIAVOLO vs Hwoarang | 6–4 | 60.00% |
| DIAVOLO vs Lee | 9–1 | 90.00% |
| DIAVOLO vs Jun | 7–3 | 70.00% |
| DIAVOLO vs Jack-8 | 4–5 | 44.44% |
| DIAVOLO vs Asuka | 5–4 | 55.56% |
| DIAVOLO vs Lili | 5–4 | 55.56% |
| DIAVOLO vs Claudio | 7–2 | 77.78% |
| DIAVOLO vs Azucena | 3–4 | 42.86% |
| DIAVOLO vs Eddy | 5–1 | 83.33% |
| DIAVOLO vs Lars | 4–1 | 80.00% |
| DIAVOLO vs Raven | 1–4 | 20.00% |
| DIAVOLO vs Kuma | 1–3 | 25.00% |
| DIAVOLO vs Victor | 3–1 | 75.00% |
| DIAVOLO vs Nina | 0–3 | 0.00% |
| DIAVOLO vs Feng | 2–0 | 100.00% |
| DIAVOLO vs Shaheen | 0–2 | 0.00% |
| DIAVOLO vs Zafina | 0–2 | 0.00% |
| DIAVOLO vs Clive | 0–2 | 0.00% |
| DIAVOLO vs Leo | 1–0 | 100.00% |
| DIAVOLO vs Anna | 0–1 | 0.00% |
| DIAVOLO vs Fahkumram | 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.