| TeOrcost vs Jin | 28–41 | 40.58% |
| TeOrcost vs Reina | 25–30 | 45.45% |
| TeOrcost vs King | 31–21 | 59.62% |
| TeOrcost vs Steve | 18–26 | 40.91% |
| TeOrcost vs Kazuya | 14–20 | 41.18% |
| TeOrcost vs Hwoarang | 10–17 | 37.04% |
| TeOrcost vs Bryan | 9–18 | 33.33% |
| TeOrcost vs Asuka | 9–17 | 34.62% |
| TeOrcost vs Dragunov | 11–14 | 44.00% |
| TeOrcost vs Jun | 10–12 | 45.45% |
| TeOrcost vs Azucena | 10–12 | 45.45% |
| TeOrcost vs Yoshimitsu | 9–11 | 45.00% |
| TeOrcost vs Xiaoyu | 12–8 | 60.00% |
| TeOrcost vs Eddy | 7–13 | 35.00% |
| TeOrcost vs Law | 9–7 | 56.25% |
| TeOrcost vs Leroy | 10–6 | 62.50% |
| TeOrcost vs Lili | 6–9 | 40.00% |
| TeOrcost vs Leo | 5–10 | 33.33% |
| TeOrcost vs Devil Jin | 5–9 | 35.71% |
| TeOrcost vs Victor | 4–10 | 28.57% |
| TeOrcost vs Paul | 7–5 | 58.33% |
| TeOrcost vs Jack-8 | 5–6 | 45.45% |
| TeOrcost vs Feng | 2–9 | 18.18% |
| TeOrcost vs Lee | 2–7 | 22.22% |
| TeOrcost vs Claudio | 0–7 | 0.00% |
| TeOrcost vs Nina | 5–2 | 71.43% |
| TeOrcost vs Raven | 2–5 | 28.57% |
| TeOrcost vs Clive | 4–2 | 66.67% |
| TeOrcost vs Lars | 0–5 | 0.00% |
| TeOrcost vs Alisa | 3–2 | 60.00% |
| TeOrcost vs Heihachi | 1–4 | 20.00% |
| TeOrcost vs Shaheen | 0–4 | 0.00% |
| TeOrcost vs Kuma | 2–2 | 50.00% |
| TeOrcost vs Panda | 0–2 | 0.00% |
| TeOrcost vs Lidia | 0–2 | 0.00% |
| TeOrcost vs Zafina | 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.