| Namir vs King | 24–19 | 55.81% |
| Namir vs Kazuya | 21–22 | 48.84% |
| Namir vs Law | 16–18 | 47.06% |
| Namir vs Jin | 17–11 | 60.71% |
| Namir vs Bryan | 13–14 | 48.15% |
| Namir vs Dragunov | 12–14 | 46.15% |
| Namir vs Paul | 13–12 | 52.00% |
| Namir vs Hwoarang | 7–10 | 41.18% |
| Namir vs Armor King | 5–11 | 31.25% |
| Namir vs Heihachi | 12–2 | 85.71% |
| Namir vs Victor | 6–7 | 46.15% |
| Namir vs Steve | 8–3 | 72.73% |
| Namir vs Lars | 7–4 | 63.64% |
| Namir vs Eddy | 6–5 | 54.55% |
| Namir vs Miary Zo | 3–8 | 27.27% |
| Namir vs Yoshimitsu | 2–7 | 22.22% |
| Namir vs Lili | 3–6 | 33.33% |
| Namir vs Reina | 6–3 | 66.67% |
| Namir vs Clive | 6–3 | 66.67% |
| Namir vs Asuka | 1–6 | 14.29% |
| Namir vs Lee | 1–6 | 14.29% |
| Namir vs Azucena | 5–2 | 71.43% |
| Namir vs Lidia | 4–3 | 57.14% |
| Namir vs Fahkumram | 2–5 | 28.57% |
| Namir vs Devil Jin | 2–4 | 33.33% |
| Namir vs Shaheen | 5–1 | 83.33% |
| Namir vs Nina | 3–2 | 60.00% |
| Namir vs Jun | 2–2 | 50.00% |
| Namir vs Anna | 0–4 | 0.00% |
| Namir vs Leo | 2–1 | 66.67% |
| Namir vs Alisa | 2–1 | 66.67% |
| Namir vs Claudio | 3–0 | 100.00% |
| Namir vs Leroy | 1–2 | 33.33% |
| Namir vs Xiaoyu | 2–0 | 100.00% |
| Namir vs Jack-8 | 2–0 | 100.00% |
| Namir vs Feng | 2–0 | 100.00% |
| Namir vs Kuma | 1–0 | 100.00% |
| Namir vs Zafina | 0–1 | 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.