| TH|D.Rack vs Jin | 59–32 | 64.84% |
| TH|D.Rack vs Bryan | 48–25 | 65.75% |
| TH|D.Rack vs Hwoarang | 46–26 | 63.89% |
| TH|D.Rack vs Victor | 44–25 | 63.77% |
| TH|D.Rack vs King | 51–16 | 76.12% |
| TH|D.Rack vs Reina | 43–22 | 66.15% |
| TH|D.Rack vs Devil Jin | 28–33 | 45.90% |
| TH|D.Rack vs Lars | 34–27 | 55.74% |
| TH|D.Rack vs Dragunov | 34–25 | 57.63% |
| TH|D.Rack vs Law | 35–23 | 60.34% |
| TH|D.Rack vs Yoshimitsu | 29–28 | 50.88% |
| TH|D.Rack vs Steve | 34–22 | 60.71% |
| TH|D.Rack vs Azucena | 33–20 | 62.26% |
| TH|D.Rack vs Eddy | 25–27 | 48.08% |
| TH|D.Rack vs Asuka | 30–11 | 73.17% |
| TH|D.Rack vs Alisa | 22–19 | 53.66% |
| TH|D.Rack vs Lee | 22–17 | 56.41% |
| TH|D.Rack vs Lili | 22–14 | 61.11% |
| TH|D.Rack vs Xiaoyu | 18–15 | 54.55% |
| TH|D.Rack vs Kazuya | 19–14 | 57.58% |
| TH|D.Rack vs Jack-8 | 16–15 | 51.61% |
| TH|D.Rack vs Leroy | 18–13 | 58.06% |
| TH|D.Rack vs Raven | 23–8 | 74.19% |
| TH|D.Rack vs Feng | 10–17 | 37.04% |
| TH|D.Rack vs Leo | 19–7 | 73.08% |
| TH|D.Rack vs Nina | 16–10 | 61.54% |
| TH|D.Rack vs Paul | 13–12 | 52.00% |
| TH|D.Rack vs Zafina | 11–14 | 44.00% |
| TH|D.Rack vs Jun | 19–6 | 76.00% |
| TH|D.Rack vs Kuma | 8–10 | 44.44% |
| TH|D.Rack vs Claudio | 7–8 | 46.67% |
| TH|D.Rack vs Shaheen | 9–5 | 64.29% |
| TH|D.Rack vs Heihachi | 7–7 | 50.00% |
| TH|D.Rack vs Fahkumram | 7–7 | 50.00% |
| TH|D.Rack vs Panda | 5–6 | 45.45% |
| TH|D.Rack vs Lidia | 3–3 | 50.00% |
| TH|D.Rack vs Clive | 1–4 | 20.00% |
| TH|D.Rack vs Anna | 2–2 | 50.00% |
| TH|D.Rack vs Miary Zo | 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.