| Unpaid Intern vs Kazuya | 3–3 | 50.00% |
| Unpaid Intern vs Steve | 0–6 | 0.00% |
| Unpaid Intern vs Clive | 2–4 | 33.33% |
| Unpaid Intern vs Hwoarang | 2–3 | 40.00% |
| Unpaid Intern vs Lili | 2–3 | 40.00% |
| Unpaid Intern vs Law | 3–1 | 75.00% |
| Unpaid Intern vs King | 0–4 | 0.00% |
| Unpaid Intern vs Jin | 1–3 | 25.00% |
| Unpaid Intern vs Bryan | 0–4 | 0.00% |
| Unpaid Intern vs Jack-8 | 0–4 | 0.00% |
| Unpaid Intern vs Nina | 0–4 | 0.00% |
| Unpaid Intern vs Reina | 2–2 | 50.00% |
| Unpaid Intern vs Raven | 0–4 | 0.00% |
| Unpaid Intern vs Eddy | 0–4 | 0.00% |
| Unpaid Intern vs Yoshimitsu | 1–2 | 33.33% |
| Unpaid Intern vs Dragunov | 1–2 | 33.33% |
| Unpaid Intern vs Alisa | 2–1 | 66.67% |
| Unpaid Intern vs Lee | 0–2 | 0.00% |
| Unpaid Intern vs Leroy | 0–2 | 0.00% |
| Unpaid Intern vs Victor | 0–2 | 0.00% |
| Unpaid Intern vs Heihachi | 0–2 | 0.00% |
| Unpaid Intern vs Asuka | 0–1 | 0.00% |
| Unpaid Intern vs Lars | 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.