| True_Gamers_1 vs Jin | 8–5 | 61.54% |
| True_Gamers_1 vs Law | 4–7 | 36.36% |
| True_Gamers_1 vs Reina | 9–2 | 81.82% |
| True_Gamers_1 vs Armor King | 5–6 | 45.45% |
| True_Gamers_1 vs King | 4–6 | 40.00% |
| True_Gamers_1 vs Kazuya | 6–3 | 66.67% |
| True_Gamers_1 vs Eddy | 5–4 | 55.56% |
| True_Gamers_1 vs Dragunov | 4–4 | 50.00% |
| True_Gamers_1 vs Asuka | 6–1 | 85.71% |
| True_Gamers_1 vs Paul | 4–2 | 66.67% |
| True_Gamers_1 vs Claudio | 5–1 | 83.33% |
| True_Gamers_1 vs Heihachi | 3–3 | 50.00% |
| True_Gamers_1 vs Yoshimitsu | 4–1 | 80.00% |
| True_Gamers_1 vs Steve | 5–0 | 100.00% |
| True_Gamers_1 vs Alisa | 5–0 | 100.00% |
| True_Gamers_1 vs Jun | 1–4 | 20.00% |
| True_Gamers_1 vs Fahkumram | 4–1 | 80.00% |
| True_Gamers_1 vs Miary Zo | 3–2 | 60.00% |
| True_Gamers_1 vs Lili | 4–0 | 100.00% |
| True_Gamers_1 vs Hwoarang | 3–0 | 100.00% |
| True_Gamers_1 vs Bryan | 1–2 | 33.33% |
| True_Gamers_1 vs Devil Jin | 1–2 | 33.33% |
| True_Gamers_1 vs Nina | 2–1 | 66.67% |
| True_Gamers_1 vs Lee | 3–0 | 100.00% |
| True_Gamers_1 vs Panda | 1–2 | 33.33% |
| True_Gamers_1 vs Lidia | 2–1 | 66.67% |
| True_Gamers_1 vs Feng | 2–0 | 100.00% |
| True_Gamers_1 vs Leo | 2–0 | 100.00% |
| True_Gamers_1 vs Zafina | 2–0 | 100.00% |
| True_Gamers_1 vs Leroy | 2–0 | 100.00% |
| True_Gamers_1 vs Azucena | 1–1 | 50.00% |
| True_Gamers_1 vs Clive | 0–2 | 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.