| 35歳テケナー vs King | 98–77 | 56.00% |
| 35歳テケナー vs Asuka | 103–68 | 60.23% |
| 35歳テケナー vs Reina | 75–80 | 48.39% |
| 35歳テケナー vs Dragunov | 70–77 | 47.62% |
| 35歳テケナー vs Bryan | 55–87 | 38.73% |
| 35歳テケナー vs Kazuya | 64–68 | 48.48% |
| 35歳テケナー vs Jin | 57–69 | 45.24% |
| 35歳テケナー vs Paul | 70–50 | 58.33% |
| 35歳テケナー vs Xiaoyu | 54–63 | 46.15% |
| 35歳テケナー vs Hwoarang | 52–62 | 45.61% |
| 35歳テケナー vs Law | 50–56 | 47.17% |
| 35歳テケナー vs Nina | 63–41 | 60.58% |
| 35歳テケナー vs Lee | 51–53 | 49.04% |
| 35歳テケナー vs Lili | 51–50 | 50.50% |
| 35歳テケナー vs Yoshimitsu | 57–37 | 60.64% |
| 35歳テケナー vs Steve | 36–57 | 38.71% |
| 35歳テケナー vs Heihachi | 37–50 | 42.53% |
| 35歳テケナー vs Lars | 38–48 | 44.19% |
| 35歳テケナー vs Lidia | 36–50 | 41.86% |
| 35歳テケナー vs Jun | 53–31 | 63.10% |
| 35歳テケナー vs Leo | 34–48 | 41.46% |
| 35歳テケナー vs Feng | 43–38 | 53.09% |
| 35歳テケナー vs Claudio | 44–33 | 57.14% |
| 35歳テケナー vs Azucena | 39–38 | 50.65% |
| 35歳テケナー vs Jack-8 | 33–43 | 43.42% |
| 35歳テケナー vs Leroy | 34–38 | 47.22% |
| 35歳テケナー vs Devil Jin | 34–37 | 47.89% |
| 35歳テケナー vs Victor | 45–26 | 63.38% |
| 35歳テケナー vs Armor King | 35–36 | 49.30% |
| 35歳テケナー vs Alisa | 44–23 | 65.67% |
| 35歳テケナー vs Fahkumram | 33–31 | 51.56% |
| 35歳テケナー vs Anna | 26–30 | 46.43% |
| 35歳テケナー vs Zafina | 19–23 | 45.24% |
| 35歳テケナー vs Eddy | 14–26 | 35.00% |
| 35歳テケナー vs Clive | 20–19 | 51.28% |
| 35歳テケナー vs Shaheen | 17–17 | 50.00% |
| 35歳テケナー vs Panda | 11–22 | 33.33% |
| 35歳テケナー vs Raven | 15–17 | 46.88% |
| 35歳テケナー vs Kuma | 7–10 | 41.18% |
| 35歳テケナー vs Miary Zo | 8–6 | 57.14% |
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.