| KW. DiVaD vs Kazuya | 54–58 | 48.21% |
| KW. DiVaD vs Bryan | 38–63 | 37.62% |
| KW. DiVaD vs King | 47–43 | 52.22% |
| KW. DiVaD vs Jin | 29–46 | 38.67% |
| KW. DiVaD vs Lili | 32–27 | 54.24% |
| KW. DiVaD vs Dragunov | 29–29 | 50.00% |
| KW. DiVaD vs Steve | 22–23 | 48.89% |
| KW. DiVaD vs Heihachi | 22–23 | 48.89% |
| KW. DiVaD vs Law | 23–18 | 56.10% |
| KW. DiVaD vs Reina | 21–20 | 51.22% |
| KW. DiVaD vs Jun | 19–21 | 47.50% |
| KW. DiVaD vs Eddy | 14–25 | 35.90% |
| KW. DiVaD vs Hwoarang | 12–24 | 33.33% |
| KW. DiVaD vs Victor | 19–17 | 52.78% |
| KW. DiVaD vs Azucena | 16–18 | 47.06% |
| KW. DiVaD vs Yoshimitsu | 14–19 | 42.42% |
| KW. DiVaD vs Lars | 9–22 | 29.03% |
| KW. DiVaD vs Lee | 12–18 | 40.00% |
| KW. DiVaD vs Asuka | 18–11 | 62.07% |
| KW. DiVaD vs Fahkumram | 13–16 | 44.83% |
| KW. DiVaD vs Claudio | 14–13 | 51.85% |
| KW. DiVaD vs Devil Jin | 7–18 | 28.00% |
| KW. DiVaD vs Paul | 8–14 | 36.36% |
| KW. DiVaD vs Feng | 9–13 | 40.91% |
| KW. DiVaD vs Nina | 7–15 | 31.82% |
| KW. DiVaD vs Leo | 7–12 | 36.84% |
| KW. DiVaD vs Jack-8 | 6–6 | 50.00% |
| KW. DiVaD vs Alisa | 6–6 | 50.00% |
| KW. DiVaD vs Lidia | 8–4 | 66.67% |
| KW. DiVaD vs Raven | 6–5 | 54.55% |
| KW. DiVaD vs Shaheen | 7–3 | 70.00% |
| KW. DiVaD vs Xiaoyu | 5–4 | 55.56% |
| KW. DiVaD vs Leroy | 1–7 | 12.50% |
| KW. DiVaD vs Kuma | 3–3 | 50.00% |
| KW. DiVaD vs Armor King | 2–4 | 33.33% |
| KW. DiVaD vs Zafina | 2–3 | 40.00% |
| KW. DiVaD vs Clive | 3–2 | 60.00% |
| KW. DiVaD vs Miary Zo | 1–4 | 20.00% |
| KW. DiVaD vs Panda | 2–1 | 66.67% |
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.