| ☆Tears vs Clive | 27–28 | 49.09% |
| ☆Tears vs Kazuya | 28–7 | 80.00% |
| ☆Tears vs Law | 13–10 | 56.52% |
| ☆Tears vs Jin | 16–6 | 72.73% |
| ☆Tears vs King | 15–5 | 75.00% |
| ☆Tears vs Hwoarang | 15–2 | 88.24% |
| ☆Tears vs Lili | 9–7 | 56.25% |
| ☆Tears vs Lee | 12–4 | 75.00% |
| ☆Tears vs Reina | 14–1 | 93.33% |
| ☆Tears vs Asuka | 8–6 | 57.14% |
| ☆Tears vs Heihachi | 8–4 | 66.67% |
| ☆Tears vs Yoshimitsu | 9–2 | 81.82% |
| ☆Tears vs Xiaoyu | 7–4 | 63.64% |
| ☆Tears vs Bryan | 8–2 | 80.00% |
| ☆Tears vs Devil Jin | 8–2 | 80.00% |
| ☆Tears vs Lidia | 9–1 | 90.00% |
| ☆Tears vs Leo | 8–0 | 100.00% |
| ☆Tears vs Fahkumram | 4–4 | 50.00% |
| ☆Tears vs Dragunov | 7–0 | 100.00% |
| ☆Tears vs Kuma | 6–1 | 85.71% |
| ☆Tears vs Leroy | 6–1 | 85.71% |
| ☆Tears vs Miary Zo | 4–3 | 57.14% |
| ☆Tears vs Victor | 6–0 | 100.00% |
| ☆Tears vs Eddy | 3–3 | 50.00% |
| ☆Tears vs Paul | 0–5 | 0.00% |
| ☆Tears vs Steve | 5–0 | 100.00% |
| ☆Tears vs Armor King | 4–1 | 80.00% |
| ☆Tears vs Alisa | 3–1 | 75.00% |
| ☆Tears vs Nina | 4–0 | 100.00% |
| ☆Tears vs Raven | 2–2 | 50.00% |
| ☆Tears vs Feng | 1–2 | 33.33% |
| ☆Tears vs Claudio | 1–2 | 33.33% |
| ☆Tears vs Jun | 1–2 | 33.33% |
| ☆Tears vs Jack-8 | 1–1 | 50.00% |
| ☆Tears vs Lars | 1–1 | 50.00% |
| ☆Tears vs Zafina | 2–0 | 100.00% |
| ☆Tears vs Shaheen | 1–0 | 100.00% |
| ☆Tears vs Azucena | 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.