| SekiToko vs Kazuya | 73–69–1 | 51.41% |
| SekiToko vs King | 64–66 | 49.23% |
| SekiToko vs Steve | 69–49 | 58.47% |
| SekiToko vs Bryan | 57–51 | 52.78% |
| SekiToko vs Jin | 35–53 | 39.77% |
| SekiToko vs Law | 22–37 | 37.29% |
| SekiToko vs Dragunov | 25–33 | 43.10% |
| SekiToko vs Lili | 26–29 | 47.27% |
| SekiToko vs Hwoarang | 24–26 | 48.00% |
| SekiToko vs Paul | 21–24 | 46.67% |
| SekiToko vs Heihachi | 14–31 | 31.11% |
| SekiToko vs Lee | 19–22 | 46.34% |
| SekiToko vs Feng | 18–18 | 50.00% |
| SekiToko vs Reina | 23–10 | 69.70% |
| SekiToko vs Yoshimitsu | 16–13 | 55.17% |
| SekiToko vs Asuka | 13–16 | 44.83% |
| SekiToko vs Eddy | 18–11 | 62.07% |
| SekiToko vs Jun | 20–8 | 71.43% |
| SekiToko vs Raven | 14–14 | 50.00% |
| SekiToko vs Devil Jin | 11–14 | 44.00% |
| SekiToko vs Alisa | 12–13 | 48.00% |
| SekiToko vs Armor King | 12–13 | 48.00% |
| SekiToko vs Jack-8 | 10–13 | 43.48% |
| SekiToko vs Lars | 13–10 | 56.52% |
| SekiToko vs Claudio | 7–13 | 35.00% |
| SekiToko vs Azucena | 15–4 | 78.95% |
| SekiToko vs Victor | 8–8 | 50.00% |
| SekiToko vs Xiaoyu | 10–5 | 66.67% |
| SekiToko vs Kuma | 7–8 | 46.67% |
| SekiToko vs Leroy | 9–6 | 60.00% |
| SekiToko vs Nina | 9–4 | 69.23% |
| SekiToko vs Lidia | 6–5 | 54.55% |
| SekiToko vs Panda | 3–6 | 33.33% |
| SekiToko vs Anna | 4–4 | 50.00% |
| SekiToko vs Leo | 3–3 | 50.00% |
| SekiToko vs Shaheen | 5–1 | 83.33% |
| SekiToko vs Fahkumram | 3–3 | 50.00% |
| SekiToko vs Miary Zo | 2–4 | 33.33% |
| SekiToko vs Zafina | 3–1 | 75.00% |
| SekiToko vs Clive | 2–2 | 50.00% |
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.