| TNYW vs Jin | 64–48 | 57.14% |
| TNYW vs Kazuya | 60–40 | 60.00% |
| TNYW vs Bryan | 42–48 | 46.67% |
| TNYW vs King | 47–33 | 58.75% |
| TNYW vs Reina | 50–29 | 63.29% |
| TNYW vs Clive | 36–39 | 48.00% |
| TNYW vs Dragunov | 46–26 | 63.89% |
| TNYW vs Paul | 32–35 | 47.76% |
| TNYW vs Yoshimitsu | 32–32 | 50.00% |
| TNYW vs Steve | 31–28 | 52.54% |
| TNYW vs Heihachi | 31–25 | 55.36% |
| TNYW vs Lili | 30–24 | 55.56% |
| TNYW vs Hwoarang | 29–24 | 54.72% |
| TNYW vs Law | 27–22 | 55.10% |
| TNYW vs Victor | 24–22 | 52.17% |
| TNYW vs Asuka | 30–14 | 68.18% |
| TNYW vs Jun | 23–19 | 54.76% |
| TNYW vs Eddy | 29–11 | 72.50% |
| TNYW vs Lars | 16–18 | 47.06% |
| TNYW vs Devil Jin | 24–9 | 72.73% |
| TNYW vs Feng | 13–19 | 40.62% |
| TNYW vs Nina | 13–19 | 40.62% |
| TNYW vs Raven | 18–11 | 62.07% |
| TNYW vs Azucena | 16–12 | 57.14% |
| TNYW vs Leroy | 16–11 | 59.26% |
| TNYW vs Xiaoyu | 17–8 | 68.00% |
| TNYW vs Leo | 14–11 | 56.00% |
| TNYW vs Alisa | 13–12 | 52.00% |
| TNYW vs Shaheen | 16–9 | 64.00% |
| TNYW vs Lee | 15–10 | 60.00% |
| TNYW vs Jack-8 | 12–11 | 52.17% |
| TNYW vs Lidia | 11–11 | 50.00% |
| TNYW vs Claudio | 10–10 | 50.00% |
| TNYW vs Fahkumram | 14–6 | 70.00% |
| TNYW vs Kuma | 11–5 | 68.75% |
| TNYW vs Anna | 8–6 | 57.14% |
| TNYW vs Panda | 8–5 | 61.54% |
| TNYW vs Zafina | 7–4 | 63.64% |
| TNYW vs Armor King | 8–3 | 72.73% |
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.