| ANewDawn vs Kazuya | 56–51 | 52.34% |
| ANewDawn vs King | 51–51 | 50.00% |
| ANewDawn vs Jin | 50–43 | 53.76% |
| ANewDawn vs Reina | 51–33 | 60.71% |
| ANewDawn vs Bryan | 34–45 | 43.04% |
| ANewDawn vs Steve | 43–29 | 59.72% |
| ANewDawn vs Hwoarang | 36–33 | 52.17% |
| ANewDawn vs Dragunov | 22–36 | 37.93% |
| ANewDawn vs Law | 28–26 | 51.85% |
| ANewDawn vs Fahkumram | 37–16 | 69.81% |
| ANewDawn vs Lili | 27–25 | 51.92% |
| ANewDawn vs Yoshimitsu | 25–25 | 50.00% |
| ANewDawn vs Clive | 18–32 | 36.00% |
| ANewDawn vs Lidia | 19–28 | 40.43% |
| ANewDawn vs Jun | 14–26 | 35.00% |
| ANewDawn vs Heihachi | 18–22 | 45.00% |
| ANewDawn vs Victor | 16–20 | 44.44% |
| ANewDawn vs Alisa | 14–20 | 41.18% |
| ANewDawn vs Feng | 10–23 | 30.30% |
| ANewDawn vs Lars | 18–15 | 54.55% |
| ANewDawn vs Raven | 17–15 | 53.12% |
| ANewDawn vs Lee | 12–19 | 38.71% |
| ANewDawn vs Leo | 12–18 | 40.00% |
| ANewDawn vs Nina | 15–15 | 50.00% |
| ANewDawn vs Paul | 9–20 | 31.03% |
| ANewDawn vs Jack-8 | 13–15 | 46.43% |
| ANewDawn vs Azucena | 11–17 | 39.29% |
| ANewDawn vs Asuka | 12–15 | 44.44% |
| ANewDawn vs Kuma | 17–9 | 65.38% |
| ANewDawn vs Eddy | 14–10 | 58.33% |
| ANewDawn vs Zafina | 11–12 | 47.83% |
| ANewDawn vs Xiaoyu | 6–15 | 28.57% |
| ANewDawn vs Devil Jin | 4–12 | 25.00% |
| ANewDawn vs Shaheen | 5–8 | 38.46% |
| ANewDawn vs Panda | 6–7 | 46.15% |
| ANewDawn vs Leroy | 4–5 | 44.44% |
| ANewDawn vs Claudio | 1–5 | 16.67% |
| ANewDawn vs Miary Zo | 2–2 | 50.00% |
| ANewDawn vs Anna | 0–2 | 0.00% |
| ANewDawn vs Armor King | 0–2 | 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.