| Newb vs Kazuya | 70–59 | 54.26% |
| Newb vs Bryan | 68–53 | 56.20% |
| Newb vs Jin | 61–59 | 50.83% |
| Newb vs Hwoarang | 53–36 | 59.55% |
| Newb vs Steve | 36–41 | 46.75% |
| Newb vs Lili | 39–37 | 51.32% |
| Newb vs Devil Jin | 40–33 | 54.79% |
| Newb vs Reina | 33–38 | 46.48% |
| Newb vs Yoshimitsu | 38–29 | 56.72% |
| Newb vs Dragunov | 45–22 | 67.16% |
| Newb vs Heihachi | 37–30 | 55.22% |
| Newb vs Paul | 33–32 | 50.77% |
| Newb vs King | 38–26 | 59.38% |
| Newb vs Law | 33–28 | 54.10% |
| Newb vs Feng | 26–25 | 50.98% |
| Newb vs Jun | 24–22 | 52.17% |
| Newb vs Xiaoyu | 25–19 | 56.82% |
| Newb vs Nina | 18–19 | 48.65% |
| Newb vs Eddy | 19–18 | 51.35% |
| Newb vs Lee | 21–15 | 58.33% |
| Newb vs Asuka | 12–19 | 38.71% |
| Newb vs Azucena | 16–14 | 53.33% |
| Newb vs Lidia | 18–12 | 60.00% |
| Newb vs Leo | 16–13 | 55.17% |
| Newb vs Raven | 15–14 | 51.72% |
| Newb vs Lars | 13–13 | 50.00% |
| Newb vs Claudio | 15–8 | 65.22% |
| Newb vs Shaheen | 10–12 | 45.45% |
| Newb vs Leroy | 13–7 | 65.00% |
| Newb vs Alisa | 12–7 | 63.16% |
| Newb vs Kuma | 7–10 | 41.18% |
| Newb vs Victor | 7–10 | 41.18% |
| Newb vs Zafina | 6–10 | 37.50% |
| Newb vs Jack-8 | 10–4 | 71.43% |
| Newb vs Clive | 3–9 | 25.00% |
| Newb vs Armor King | 4–2 | 66.67% |
| Newb vs Panda | 0–4 | 0.00% |
| Newb vs Anna | 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.