| takeone vs King | 124–89 | 58.22% |
| takeone vs Paul | 119–93 | 56.13% |
| takeone vs Hwoarang | 109–102 | 51.66% |
| takeone vs Kazuya | 118–89 | 57.00% |
| takeone vs Bryan | 99–88 | 52.94% |
| takeone vs Dragunov | 82–102 | 44.57% |
| takeone vs Reina | 90–91 | 49.72% |
| takeone vs Asuka | 92–65 | 58.60% |
| takeone vs Victor | 64–83 | 43.54% |
| takeone vs Lili | 90–53 | 62.94% |
| takeone vs Jin | 87–53 | 62.14% |
| takeone vs Steve | 80–48 | 62.50% |
| takeone vs Law | 69–55 | 55.65% |
| takeone vs Yoshimitsu | 59–64 | 47.97% |
| takeone vs Leo | 51–48 | 51.52% |
| takeone vs Nina | 53–46 | 53.54% |
| takeone vs Jun | 50–46 | 52.08% |
| takeone vs Eddy | 46–47 | 49.46% |
| takeone vs Alisa | 41–51 | 44.57% |
| takeone vs Armor King | 43–49 | 46.74% |
| takeone vs Devil Jin | 43–46 | 48.31% |
| takeone vs Jack-8 | 35–52 | 40.23% |
| takeone vs Xiaoyu | 36–50 | 41.86% |
| takeone vs Lars | 40–45 | 47.06% |
| takeone vs Lee | 37–40 | 48.05% |
| takeone vs Claudio | 32–44 | 42.11% |
| takeone vs Feng | 35–34 | 50.72% |
| takeone vs Leroy | 31–35 | 46.97% |
| takeone vs Azucena | 35–28 | 55.56% |
| takeone vs Fahkumram | 29–22 | 56.86% |
| takeone vs Raven | 22–25 | 46.81% |
| takeone vs Lidia | 21–26 | 44.68% |
| takeone vs Heihachi | 17–29 | 36.96% |
| takeone vs Panda | 17–26 | 39.53% |
| takeone vs Zafina | 13–28 | 31.71% |
| takeone vs Shaheen | 19–19 | 50.00% |
| takeone vs Kuma | 14–16 | 46.67% |
| takeone vs Miary Zo | 10–16 | 38.46% |
| takeone vs Clive | 12–11 | 52.17% |
| takeone vs Anna | 7–6 | 53.85% |
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.