| jssocool vs Armor King | 47–55 | 46.08% |
| jssocool vs Jin | 51–35 | 59.30% |
| jssocool vs Law | 45–40 | 52.94% |
| jssocool vs King | 52–29 | 64.20% |
| jssocool vs Hwoarang | 34–36 | 48.57% |
| jssocool vs Kazuya | 34–34 | 50.00% |
| jssocool vs Bryan | 23–28 | 45.10% |
| jssocool vs Lili | 21–30 | 41.18% |
| jssocool vs Steve | 22–27 | 44.90% |
| jssocool vs Reina | 22–20 | 52.38% |
| jssocool vs Devil Jin | 15–24 | 38.46% |
| jssocool vs Lars | 25–14 | 64.10% |
| jssocool vs Jun | 21–17 | 55.26% |
| jssocool vs Dragunov | 13–24 | 35.14% |
| jssocool vs Lee | 15–20 | 42.86% |
| jssocool vs Paul | 14–19 | 42.42% |
| jssocool vs Feng | 22–11 | 66.67% |
| jssocool vs Leroy | 21–12 | 63.64% |
| jssocool vs Jack-8 | 18–14 | 56.25% |
| jssocool vs Yoshimitsu | 18–13 | 58.06% |
| jssocool vs Eddy | 15–16 | 48.39% |
| jssocool vs Xiaoyu | 16–14 | 53.33% |
| jssocool vs Azucena | 9–20 | 31.03% |
| jssocool vs Heihachi | 12–16 | 42.86% |
| jssocool vs Leo | 11–16 | 40.74% |
| jssocool vs Nina | 15–10 | 60.00% |
| jssocool vs Lidia | 5–18 | 21.74% |
| jssocool vs Victor | 12–10 | 54.55% |
| jssocool vs Raven | 13–8 | 61.90% |
| jssocool vs Fahkumram | 7–14 | 33.33% |
| jssocool vs Alisa | 8–10 | 44.44% |
| jssocool vs Asuka | 6–11 | 35.29% |
| jssocool vs Clive | 7–10 | 41.18% |
| jssocool vs Shaheen | 2–11 | 15.38% |
| jssocool vs Zafina | 5–6 | 45.45% |
| jssocool vs Claudio | 5–4 | 55.56% |
| jssocool vs Kuma | 6–3 | 66.67% |
| jssocool vs Anna | 8–0 | 100.00% |
| jssocool vs Panda | 0–1 | 0.00% |
| jssocool vs Miary Zo | 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.