| TNM | Smear vs Kazuya | 26–21 | 55.32% |
| TNM | Smear vs Jin | 33–12 | 73.33% |
| TNM | Smear vs Bryan | 26–15 | 63.41% |
| TNM | Smear vs Steve | 15–18 | 45.45% |
| TNM | Smear vs Hwoarang | 20–7 | 74.07% |
| TNM | Smear vs Heihachi | 19–8 | 70.37% |
| TNM | Smear vs King | 20–5 | 80.00% |
| TNM | Smear vs Jack-8 | 10–11 | 47.62% |
| TNM | Smear vs Reina | 13–7 | 65.00% |
| TNM | Smear vs Lili | 8–11 | 42.11% |
| TNM | Smear vs Nina | 9–7 | 56.25% |
| TNM | Smear vs Clive | 10–6 | 62.50% |
| TNM | Smear vs Dragunov | 13–2 | 86.67% |
| TNM | Smear vs Anna | 8–7 | 53.33% |
| TNM | Smear vs Paul | 7–6 | 53.85% |
| TNM | Smear vs Feng | 7–5 | 58.33% |
| TNM | Smear vs Leroy | 3–9 | 25.00% |
| TNM | Smear vs Law | 5–6 | 45.45% |
| TNM | Smear vs Devil Jin | 8–3 | 72.73% |
| TNM | Smear vs Lars | 4–7 | 36.36% |
| TNM | Smear vs Jun | 6–5 | 54.55% |
| TNM | Smear vs Victor | 8–3 | 72.73% |
| TNM | Smear vs Asuka | 5–4 | 55.56% |
| TNM | Smear vs Alisa | 9–0 | 100.00% |
| TNM | Smear vs Eddy | 3–6 | 33.33% |
| TNM | Smear vs Lee | 4–4 | 50.00% |
| TNM | Smear vs Azucena | 2–4 | 33.33% |
| TNM | Smear vs Yoshimitsu | 5–0 | 100.00% |
| TNM | Smear vs Xiaoyu | 3–2 | 60.00% |
| TNM | Smear vs Kuma | 2–3 | 40.00% |
| TNM | Smear vs Lidia | 4–0 | 100.00% |
| TNM | Smear vs Leo | 0–3 | 0.00% |
| TNM | Smear vs Claudio | 2–0 | 100.00% |
| TNM | Smear vs Fahkumram | 2–0 | 100.00% |
| TNM | Smear vs Armor King | 2–0 | 100.00% |
| TNM | Smear vs Zafina | 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.