| ttvCheek_ vs King | 150–160 | 48.39% |
| ttvCheek_ vs Kazuya | 132–129 | 50.57% |
| ttvCheek_ vs Jin | 113–134 | 45.75% |
| ttvCheek_ vs Bryan | 116–123 | 48.54% |
| ttvCheek_ vs Law | 103–128 | 44.59% |
| ttvCheek_ vs Hwoarang | 97–123 | 44.09% |
| ttvCheek_ vs Steve | 112–98 | 53.33% |
| ttvCheek_ vs Dragunov | 104–99 | 51.23% |
| ttvCheek_ vs Reina | 103–92 | 52.82% |
| ttvCheek_ vs Yoshimitsu | 72–89 | 44.72% |
| ttvCheek_ vs Paul | 60–80 | 42.86% |
| ttvCheek_ vs Lee | 67–69 | 49.26% |
| ttvCheek_ vs Lili | 65–69 | 48.51% |
| ttvCheek_ vs Lars | 63–63 | 50.00% |
| ttvCheek_ vs Jun | 56–66 | 45.90% |
| ttvCheek_ vs Azucena | 57–65 | 46.72% |
| ttvCheek_ vs Nina | 51–69 | 42.50% |
| ttvCheek_ vs Asuka | 38–65 | 36.89% |
| ttvCheek_ vs Eddy | 41–57 | 41.84% |
| ttvCheek_ vs Xiaoyu | 37–58 | 38.95% |
| ttvCheek_ vs Devil Jin | 36–51 | 41.38% |
| ttvCheek_ vs Victor | 49–38 | 56.32% |
| ttvCheek_ vs Heihachi | 42–43 | 49.41% |
| ttvCheek_ vs Leo | 51–32 | 61.45% |
| ttvCheek_ vs Raven | 41–36 | 53.25% |
| ttvCheek_ vs Feng | 29–38 | 43.28% |
| ttvCheek_ vs Alisa | 31–34 | 47.69% |
| ttvCheek_ vs Leroy | 27–35 | 43.55% |
| ttvCheek_ vs Claudio | 26–34 | 43.33% |
| ttvCheek_ vs Lidia | 30–26 | 53.57% |
| ttvCheek_ vs Shaheen | 26–28 | 48.15% |
| ttvCheek_ vs Kuma | 29–24 | 54.72% |
| ttvCheek_ vs Jack-8 | 24–28 | 46.15% |
| ttvCheek_ vs Armor King | 34–11 | 75.56% |
| ttvCheek_ vs Zafina | 15–24 | 38.46% |
| ttvCheek_ vs Clive | 15–22 | 40.54% |
| ttvCheek_ vs Fahkumram | 23–14 | 62.16% |
| ttvCheek_ vs Anna | 9–13 | 40.91% |
| ttvCheek_ vs Panda | 8–2 | 80.00% |
| ttvCheek_ vs Miary Zo | 8–2 | 80.00% |
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.