| Tweek vs Clive | 9–0 | 100.00% |
| Tweek vs Law | 2–4 | 33.33% |
| Tweek vs Victor | 5–1 | 83.33% |
| Tweek vs Raven | 5–1 | 83.33% |
| Tweek vs Lee | 2–3 | 40.00% |
| Tweek vs Steve | 4–0 | 100.00% |
| Tweek vs Lili | 4–0 | 100.00% |
| Tweek vs Armor King | 3–1 | 75.00% |
| Tweek vs Jin | 3–0 | 100.00% |
| Tweek vs Kazuya | 2–1 | 66.67% |
| Tweek vs Asuka | 2–1 | 66.67% |
| Tweek vs Dragunov | 3–0 | 100.00% |
| Tweek vs Lars | 2–1 | 66.67% |
| Tweek vs Zafina | 1–2 | 33.33% |
| Tweek vs Fahkumram | 3–0 | 100.00% |
| Tweek vs Miary Zo | 1–2 | 33.33% |
| Tweek vs Feng | 0–2 | 0.00% |
| Tweek vs Panda | 2–0 | 100.00% |
| Tweek vs Paul | 1–0 | 100.00% |
| Tweek vs King | 1–0 | 100.00% |
| Tweek vs Hwoarang | 1–0 | 100.00% |
| Tweek vs Bryan | 1–0 | 100.00% |
| Tweek vs Nina | 1–0 | 100.00% |
| Tweek vs Kuma | 1–0 | 100.00% |
| Tweek vs Azucena | 1–0 | 100.00% |
| Tweek vs Eddy | 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.