| namgu vs Armor King | 39–43 | 47.56% |
| namgu vs Bryan | 23–29 | 44.23% |
| namgu vs Kazuya | 31–13 | 70.45% |
| namgu vs Dragunov | 25–17 | 59.52% |
| namgu vs Reina | 22–20 | 52.38% |
| namgu vs King | 24–17 | 58.54% |
| namgu vs Steve | 21–10 | 67.74% |
| namgu vs Law | 13–17 | 43.33% |
| namgu vs Paul | 14–14 | 50.00% |
| namgu vs Jin | 16–12 | 57.14% |
| namgu vs Alisa | 15–12 | 55.56% |
| namgu vs Asuka | 19–4 | 82.61% |
| namgu vs Yoshimitsu | 12–9 | 57.14% |
| namgu vs Lili | 9–11 | 45.00% |
| namgu vs Hwoarang | 13–6 | 68.42% |
| namgu vs Claudio | 9–7 | 56.25% |
| namgu vs Lars | 4–11 | 26.67% |
| namgu vs Leroy | 10–5 | 66.67% |
| namgu vs Victor | 9–4 | 69.23% |
| namgu vs Xiaoyu | 5–7 | 41.67% |
| namgu vs Eddy | 8–4 | 66.67% |
| namgu vs Heihachi | 5–7 | 41.67% |
| namgu vs Jack-8 | 5–6 | 45.45% |
| namgu vs Jun | 7–4 | 63.64% |
| namgu vs Clive | 8–3 | 72.73% |
| namgu vs Fahkumram | 5–6 | 45.45% |
| namgu vs Feng | 7–3 | 70.00% |
| namgu vs Shaheen | 7–3 | 70.00% |
| namgu vs Nina | 3–7 | 30.00% |
| namgu vs Kuma | 7–3 | 70.00% |
| namgu vs Anna | 7–2 | 77.78% |
| namgu vs Panda | 6–2 | 75.00% |
| namgu vs Devil Jin | 3–4 | 42.86% |
| namgu vs Leo | 3–4 | 42.86% |
| namgu vs Zafina | 3–3 | 50.00% |
| namgu vs Azucena | 2–4 | 33.33% |
| namgu vs Lee | 4–1 | 80.00% |
| namgu vs Raven | 1–4 | 20.00% |
| namgu vs Lidia | 0–3 | 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.