| Namdo vs Kazuya | 76–61 | 55.47% |
| Namdo vs Dragunov | 37–64 | 36.63% |
| Namdo vs Hwoarang | 57–35 | 61.96% |
| Namdo vs King | 47–43 | 52.22% |
| Namdo vs Paul | 49–38 | 56.32% |
| Namdo vs Bryan | 44–42 | 51.16% |
| Namdo vs Jin | 37–30 | 55.22% |
| Namdo vs Law | 35–29 | 54.69% |
| Namdo vs Steve | 28–35 | 44.44% |
| Namdo vs Victor | 28–33 | 45.90% |
| Namdo vs Asuka | 32–26 | 55.17% |
| Namdo vs Nina | 35–20 | 63.64% |
| Namdo vs Azucena | 27–22 | 55.10% |
| Namdo vs Xiaoyu | 20–27 | 42.55% |
| Namdo vs Devil Jin | 28–16 | 63.64% |
| Namdo vs Jun | 26–15 | 63.41% |
| Namdo vs Yoshimitsu | 21–19 | 52.50% |
| Namdo vs Reina | 19–19 | 50.00% |
| Namdo vs Jack-8 | 13–24 | 35.14% |
| Namdo vs Feng | 21–16 | 56.76% |
| Namdo vs Leo | 24–13 | 64.86% |
| Namdo vs Alisa | 17–17 | 50.00% |
| Namdo vs Lili | 14–19 | 42.42% |
| Namdo vs Shaheen | 17–13 | 56.67% |
| Namdo vs Lee | 8–22 | 26.67% |
| Namdo vs Claudio | 6–23 | 20.69% |
| Namdo vs Leroy | 13–15 | 46.43% |
| Namdo vs Lidia | 13–15 | 46.43% |
| Namdo vs Eddy | 8–15 | 34.78% |
| Namdo vs Lars | 11–10 | 52.38% |
| Namdo vs Raven | 10–10 | 50.00% |
| Namdo vs Heihachi | 11–9 | 55.00% |
| Namdo vs Kuma | 10–5 | 66.67% |
| Namdo vs Zafina | 4–8 | 33.33% |
| Namdo vs Clive | 4–5 | 44.44% |
| Namdo vs Panda | 5–0 | 100.00% |
| Namdo vs Armor King | 3–2 | 60.00% |
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.