| Terk vs Jun | 14–5 | 73.68% |
| Terk vs Jin | 4–9 | 30.77% |
| Terk vs Asuka | 5–5 | 50.00% |
| Terk vs Fahkumram | 6–2 | 75.00% |
| Terk vs Paul | 3–4 | 42.86% |
| Terk vs King | 4–3 | 57.14% |
| Terk vs Armor King | 2–5 | 28.57% |
| Terk vs Steve | 5–1 | 83.33% |
| Terk vs Dragunov | 4–2 | 66.67% |
| Terk vs Nina | 5–1 | 83.33% |
| Terk vs Xiaoyu | 1–4 | 20.00% |
| Terk vs Devil Jin | 4–1 | 80.00% |
| Terk vs Eddy | 2–3 | 40.00% |
| Terk vs Hwoarang | 4–0 | 100.00% |
| Terk vs Bryan | 2–2 | 50.00% |
| Terk vs Kazuya | 0–4 | 0.00% |
| Terk vs Lili | 2–2 | 50.00% |
| Terk vs Law | 2–1 | 66.67% |
| Terk vs Leroy | 2–1 | 66.67% |
| Terk vs Azucena | 1–2 | 33.33% |
| Terk vs Victor | 0–3 | 0.00% |
| Terk vs Clive | 0–3 | 0.00% |
| Terk vs Lee | 2–0 | 100.00% |
| Terk vs Panda | 2–0 | 100.00% |
| Terk vs Leo | 1–0 | 100.00% |
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.