| Newb vs Kazuya | 27–21 | 56.25% |
| Newb vs King | 20–14 | 58.82% |
| Newb vs Steve | 23–10 | 69.70% |
| Newb vs Bryan | 14–11 | 56.00% |
| Newb vs Lili | 16–9 | 64.00% |
| Newb vs Victor | 14–11 | 56.00% |
| Newb vs Hwoarang | 15–9 | 62.50% |
| Newb vs Dragunov | 7–16 | 30.43% |
| Newb vs Reina | 14–9 | 60.87% |
| Newb vs Clive | 12–11 | 52.17% |
| Newb vs Paul | 6–16 | 27.27% |
| Newb vs Jin | 17–5 | 77.27% |
| Newb vs Law | 16–4 | 80.00% |
| Newb vs Yoshimitsu | 13–7 | 65.00% |
| Newb vs Asuka | 12–8 | 60.00% |
| Newb vs Devil Jin | 4–13 | 23.53% |
| Newb vs Heihachi | 11–4 | 73.33% |
| Newb vs Jun | 8–6 | 57.14% |
| Newb vs Armor King | 2–10 | 16.67% |
| Newb vs Xiaoyu | 9–2 | 81.82% |
| Newb vs Lars | 3–8 | 27.27% |
| Newb vs Alisa | 5–4 | 55.56% |
| Newb vs Shaheen | 7–2 | 77.78% |
| Newb vs Azucena | 5–4 | 55.56% |
| Newb vs Eddy | 6–2 | 75.00% |
| Newb vs Lidia | 3–5 | 37.50% |
| Newb vs Nina | 5–2 | 71.43% |
| Newb vs Kuma | 2–5 | 28.57% |
| Newb vs Zafina | 3–4 | 42.86% |
| Newb vs Jack-8 | 0–6 | 0.00% |
| Newb vs Fahkumram | 2–4 | 33.33% |
| Newb vs Anna | 3–2 | 60.00% |
| Newb vs Panda | 3–1 | 75.00% |
| Newb vs Leo | 3–0 | 100.00% |
| Newb vs Lee | 0–2 | 0.00% |
| Newb vs Raven | 2–0 | 100.00% |
| Newb vs Claudio | 1–0 | 100.00% |
| Newb vs Leroy | 1–0 | 100.00% |
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.