| Deadhline vs Jin | 45–77 | 36.89% |
| Deadhline vs Heihachi | 44–71 | 38.26% |
| Deadhline vs Reina | 55–52 | 51.40% |
| Deadhline vs Kazuya | 39–67 | 36.79% |
| Deadhline vs Bryan | 25–67 | 27.17% |
| Deadhline vs King | 24–50 | 32.43% |
| Deadhline vs Paul | 17–51 | 25.00% |
| Deadhline vs Steve | 30–34 | 46.88% |
| Deadhline vs Dragunov | 20–39 | 33.90% |
| Deadhline vs Law | 23–35 | 39.66% |
| Deadhline vs Devil Jin | 24–30 | 44.44% |
| Deadhline vs Alisa | 22–25 | 46.81% |
| Deadhline vs Azucena | 12–35 | 25.53% |
| Deadhline vs Lili | 17–28 | 37.78% |
| Deadhline vs Hwoarang | 13–31 | 29.55% |
| Deadhline vs Victor | 14–30 | 31.82% |
| Deadhline vs Asuka | 18–25 | 41.86% |
| Deadhline vs Yoshimitsu | 13–29 | 30.95% |
| Deadhline vs Nina | 13–27 | 32.50% |
| Deadhline vs Claudio | 14–25 | 35.90% |
| Deadhline vs Jun | 16–23 | 41.03% |
| Deadhline vs Eddy | 12–25 | 32.43% |
| Deadhline vs Lidia | 12–23 | 34.29% |
| Deadhline vs Lee | 8–22 | 26.67% |
| Deadhline vs Armor King | 7–18 | 28.00% |
| Deadhline vs Jack-8 | 3–20 | 13.04% |
| Deadhline vs Raven | 11–12 | 47.83% |
| Deadhline vs Xiaoyu | 7–15 | 31.82% |
| Deadhline vs Shaheen | 6–13 | 31.58% |
| Deadhline vs Feng | 2–14 | 12.50% |
| Deadhline vs Zafina | 9–7 | 56.25% |
| Deadhline vs Lars | 4–10 | 28.57% |
| Deadhline vs Leo | 4–9 | 30.77% |
| Deadhline vs Clive | 7–6 | 53.85% |
| Deadhline vs Kuma | 3–9 | 25.00% |
| Deadhline vs Leroy | 9–1 | 90.00% |
| Deadhline vs Fahkumram | 0–8 | 0.00% |
| Deadhline vs Panda | 0–7 | 0.00% |
| Deadhline vs Anna | 2–4 | 33.33% |
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.