| tennpura vs Kazuya | 62–105 | 37.13% |
| tennpura vs King | 48–79 | 37.80% |
| tennpura vs Bryan | 48–67 | 41.74% |
| tennpura vs Reina | 44–68 | 39.29% |
| tennpura vs Paul | 45–60 | 42.86% |
| tennpura vs Asuka | 34–49 | 40.96% |
| tennpura vs Lili | 33–50 | 39.76% |
| tennpura vs Dragunov | 21–54 | 28.00% |
| tennpura vs Anna | 37–33 | 52.86% |
| tennpura vs Steve | 26–40 | 39.39% |
| tennpura vs Jin | 24–38 | 38.71% |
| tennpura vs Law | 17–41–1 | 29.31% |
| tennpura vs Hwoarang | 15–36 | 29.41% |
| tennpura vs Azucena | 13–35 | 27.08% |
| tennpura vs Lidia | 21–24 | 46.67% |
| tennpura vs Leo | 17–24 | 41.46% |
| tennpura vs Clive | 11–28 | 28.21% |
| tennpura vs Nina | 22–15 | 59.46% |
| tennpura vs Victor | 17–20 | 45.95% |
| tennpura vs Jun | 12–22 | 35.29% |
| tennpura vs Yoshimitsu | 12–21 | 36.36% |
| tennpura vs Heihachi | 14–17 | 45.16% |
| tennpura vs Xiaoyu | 8–21 | 27.59% |
| tennpura vs Lars | 11–17 | 39.29% |
| tennpura vs Claudio | 8–20 | 28.57% |
| tennpura vs Devil Jin | 9–17 | 34.62% |
| tennpura vs Alisa | 7–17 | 29.17% |
| tennpura vs Kuma | 7–17 | 29.17% |
| tennpura vs Zafina | 5–17 | 22.73% |
| tennpura vs Feng | 7–13 | 35.00% |
| tennpura vs Raven | 6–12 | 33.33% |
| tennpura vs Fahkumram | 2–16 | 11.11% |
| tennpura vs Leroy | 6–11 | 35.29% |
| tennpura vs Armor King | 8–9 | 47.06% |
| tennpura vs Jack-8 | 3–13 | 18.75% |
| tennpura vs Lee | 3–13 | 18.75% |
| tennpura vs Eddy | 4–11 | 26.67% |
| tennpura vs Miary Zo | 5–7 | 41.67% |
| tennpura vs Shaheen | 2–4 | 33.33% |
| tennpura vs Panda | 2–4 | 33.33% |
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.