| Cortisol vs King | 59–31 | 65.56% |
| Cortisol vs Law | 42–27 | 60.87% |
| Cortisol vs Devil Jin | 37–32 | 53.62% |
| Cortisol vs Kazuya | 37–24 | 60.66% |
| Cortisol vs Reina | 33–27 | 55.00% |
| Cortisol vs Victor | 34–26 | 56.67% |
| Cortisol vs Bryan | 43–16 | 72.88% |
| Cortisol vs Dragunov | 31–28 | 52.54% |
| Cortisol vs Jin | 31–25 | 55.36% |
| Cortisol vs Eddy | 31–24 | 56.36% |
| Cortisol vs Hwoarang | 25–27 | 48.08% |
| Cortisol vs Paul | 33–18 | 64.71% |
| Cortisol vs Xiaoyu | 40–11 | 78.43% |
| Cortisol vs Azucena | 28–22 | 56.00% |
| Cortisol vs Lars | 32–13 | 71.11% |
| Cortisol vs Lee | 25–19 | 56.82% |
| Cortisol vs Feng | 25–18 | 58.14% |
| Cortisol vs Leo | 18–24 | 42.86% |
| Cortisol vs Steve | 22–17 | 56.41% |
| Cortisol vs Yoshimitsu | 26–12 | 68.42% |
| Cortisol vs Anna | 22–14 | 61.11% |
| Cortisol vs Shaheen | 21–14 | 60.00% |
| Cortisol vs Asuka | 20–14 | 58.82% |
| Cortisol vs Lili | 27–2 | 93.10% |
| Cortisol vs Jack-8 | 12–12 | 50.00% |
| Cortisol vs Jun | 16–8 | 66.67% |
| Cortisol vs Kuma | 14–9 | 60.87% |
| Cortisol vs Zafina | 16–7 | 69.57% |
| Cortisol vs Alisa | 19–3 | 86.36% |
| Cortisol vs Lidia | 12–9 | 57.14% |
| Cortisol vs Nina | 13–7 | 65.00% |
| Cortisol vs Leroy | 11–9 | 55.00% |
| Cortisol vs Panda | 10–8 | 55.56% |
| Cortisol vs Raven | 11–7 | 61.11% |
| Cortisol vs Heihachi | 8–10 | 44.44% |
| Cortisol vs Clive | 9–7 | 56.25% |
| Cortisol vs Claudio | 5–2 | 71.43% |
| Cortisol vs Fahkumram | 4–2 | 66.67% |
| Cortisol vs Armor King | 4–0 | 100.00% |
| Cortisol vs Miary Zo | 2–1 | 66.67% |
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.