| TD2k2022 vs Reina | 14–10 | 58.33% |
| TD2k2022 vs King | 12–9 | 57.14% |
| TD2k2022 vs Steve | 10–8 | 55.56% |
| TD2k2022 vs Nina | 7–8 | 46.67% |
| TD2k2022 vs Hwoarang | 7–7 | 50.00% |
| TD2k2022 vs Bryan | 4–9 | 30.77% |
| TD2k2022 vs Clive | 10–3 | 76.92% |
| TD2k2022 vs Law | 8–3 | 72.73% |
| TD2k2022 vs Jin | 4–7 | 36.36% |
| TD2k2022 vs Jun | 6–5 | 54.55% |
| TD2k2022 vs Azucena | 7–4 | 63.64% |
| TD2k2022 vs Paul | 5–5 | 50.00% |
| TD2k2022 vs Lili | 5–5 | 50.00% |
| TD2k2022 vs Leroy | 4–6 | 40.00% |
| TD2k2022 vs Eddy | 5–5 | 50.00% |
| TD2k2022 vs Kazuya | 4–5 | 44.44% |
| TD2k2022 vs Yoshimitsu | 6–2 | 75.00% |
| TD2k2022 vs Miary Zo | 4–4 | 50.00% |
| TD2k2022 vs Dragunov | 2–5 | 28.57% |
| TD2k2022 vs Alisa | 6–1 | 85.71% |
| TD2k2022 vs Lidia | 3–3 | 50.00% |
| TD2k2022 vs Heihachi | 2–4 | 33.33% |
| TD2k2022 vs Lars | 1–4 | 20.00% |
| TD2k2022 vs Zafina | 4–1 | 80.00% |
| TD2k2022 vs Xiaoyu | 3–0 | 100.00% |
| TD2k2022 vs Devil Jin | 0–3 | 0.00% |
| TD2k2022 vs Claudio | 2–1 | 66.67% |
| TD2k2022 vs Shaheen | 2–1 | 66.67% |
| TD2k2022 vs Panda | 0–3 | 0.00% |
| TD2k2022 vs Anna | 1–2 | 33.33% |
| TD2k2022 vs Jack-8 | 2–0 | 100.00% |
| TD2k2022 vs Lee | 2–0 | 100.00% |
| TD2k2022 vs Kuma | 2–0 | 100.00% |
| TD2k2022 vs Armor King | 1–1 | 50.00% |
| TD2k2022 vs Victor | 0–1 | 0.00% |
| TD2k2022 vs Fahkumram | 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.