| sash1k88 vs Kazuya | 29–55 | 34.52% |
| sash1k88 vs King | 27–52 | 34.18% |
| sash1k88 vs Heihachi | 27–51 | 34.62% |
| sash1k88 vs Jin | 32–41 | 43.84% |
| sash1k88 vs Reina | 42–26 | 61.76% |
| sash1k88 vs Hwoarang | 12–49 | 19.67% |
| sash1k88 vs Bryan | 18–39 | 31.58% |
| sash1k88 vs Fahkumram | 26–30 | 46.43% |
| sash1k88 vs Dragunov | 19–36 | 34.55% |
| sash1k88 vs Steve | 14–37 | 27.45% |
| sash1k88 vs Armor King | 21–28 | 42.86% |
| sash1k88 vs Yoshimitsu | 15–28 | 34.88% |
| sash1k88 vs Lili | 13–29 | 30.95% |
| sash1k88 vs Law | 11–30 | 26.83% |
| sash1k88 vs Asuka | 17–20 | 45.95% |
| sash1k88 vs Lee | 16–19 | 45.71% |
| sash1k88 vs Devil Jin | 13–19 | 40.62% |
| sash1k88 vs Lidia | 16–11 | 59.26% |
| sash1k88 vs Eddy | 5–19 | 20.83% |
| sash1k88 vs Alisa | 5–18 | 21.74% |
| sash1k88 vs Jun | 5–16 | 23.81% |
| sash1k88 vs Feng | 4–16 | 20.00% |
| sash1k88 vs Paul | 8–10 | 44.44% |
| sash1k88 vs Xiaoyu | 8–10 | 44.44% |
| sash1k88 vs Victor | 6–12 | 33.33% |
| sash1k88 vs Raven | 10–8 | 55.56% |
| sash1k88 vs Anna | 7–9 | 43.75% |
| sash1k88 vs Azucena | 5–10 | 33.33% |
| sash1k88 vs Lars | 2–12 | 14.29% |
| sash1k88 vs Clive | 6–6 | 50.00% |
| sash1k88 vs Claudio | 1–10 | 9.09% |
| sash1k88 vs Zafina | 8–3 | 72.73% |
| sash1k88 vs Leroy | 0–11 | 0.00% |
| sash1k88 vs Nina | 8–1 | 88.89% |
| sash1k88 vs Jack-8 | 2–6 | 25.00% |
| sash1k88 vs Kuma | 1–6 | 14.29% |
| sash1k88 vs Leo | 2–4 | 33.33% |
| sash1k88 vs Shaheen | 1–5 | 16.67% |
| sash1k88 vs Miary Zo | 2–1 | 66.67% |
| sash1k88 vs Panda | 0–2 | 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.