| Seam_saw vs Lili | 12–5 | 70.59% |
| Seam_saw vs Kazuya | 6–10 | 37.50% |
| Seam_saw vs Reina | 6–10 | 37.50% |
| Seam_saw vs Jin | 10–5 | 66.67% |
| Seam_saw vs King | 8–5 | 61.54% |
| Seam_saw vs Hwoarang | 6–5 | 54.55% |
| Seam_saw vs Yoshimitsu | 1–8 | 11.11% |
| Seam_saw vs Shaheen | 4–5 | 44.44% |
| Seam_saw vs Law | 4–4 | 50.00% |
| Seam_saw vs Steve | 6–2 | 75.00% |
| Seam_saw vs Jack-8 | 4–4 | 50.00% |
| Seam_saw vs Lars | 3–4 | 42.86% |
| Seam_saw vs Azucena | 4–3 | 57.14% |
| Seam_saw vs Heihachi | 5–2 | 71.43% |
| Seam_saw vs Alisa | 2–4 | 33.33% |
| Seam_saw vs Lee | 4–2 | 66.67% |
| Seam_saw vs Feng | 3–2 | 60.00% |
| Seam_saw vs Claudio | 4–1 | 80.00% |
| Seam_saw vs Jun | 2–3 | 40.00% |
| Seam_saw vs Victor | 4–1 | 80.00% |
| Seam_saw vs Eddy | 3–2 | 60.00% |
| Seam_saw vs Xiaoyu | 1–3 | 25.00% |
| Seam_saw vs Dragunov | 0–4 | 0.00% |
| Seam_saw vs Leo | 1–3 | 25.00% |
| Seam_saw vs Leroy | 4–0 | 100.00% |
| Seam_saw vs Raven | 3–1 | 75.00% |
| Seam_saw vs Lidia | 2–2 | 50.00% |
| Seam_saw vs Panda | 2–1 | 66.67% |
| Seam_saw vs Zafina | 3–0 | 100.00% |
| Seam_saw vs Bryan | 2–0 | 100.00% |
| Seam_saw vs Asuka | 0–2 | 0.00% |
| Seam_saw vs Nina | 2–0 | 100.00% |
| Seam_saw vs Kuma | 0–2 | 0.00% |
| Seam_saw vs Clive | 0–2 | 0.00% |
| Seam_saw vs Paul | 1–0 | 100.00% |
| Seam_saw vs Anna | 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.