| STERB3N vs Kazuya | 106–77 | 57.92% |
| STERB3N vs Jin | 85–76 | 52.80% |
| STERB3N vs Bryan | 80–65 | 55.17% |
| STERB3N vs Hwoarang | 71–60–1 | 54.20% |
| STERB3N vs Steve | 71–36 | 66.36% |
| STERB3N vs Law | 45–52 | 46.39% |
| STERB3N vs King | 44–46 | 48.89% |
| STERB3N vs Yoshimitsu | 31–55 | 36.05% |
| STERB3N vs Lili | 43–40 | 51.81% |
| STERB3N vs Paul | 36–45 | 44.44% |
| STERB3N vs Reina | 44–35 | 55.70% |
| STERB3N vs Dragunov | 35–41 | 46.05% |
| STERB3N vs Heihachi | 35–41 | 46.05% |
| STERB3N vs Azucena | 37–35 | 51.39% |
| STERB3N vs Eddy | 40–32 | 55.56% |
| STERB3N vs Lee | 32–37 | 46.38% |
| STERB3N vs Devil Jin | 25–34 | 42.37% |
| STERB3N vs Asuka | 30–27 | 52.63% |
| STERB3N vs Nina | 31–20 | 60.78% |
| STERB3N vs Leo | 28–20 | 58.33% |
| STERB3N vs Lars | 24–24 | 50.00% |
| STERB3N vs Feng | 21–26 | 44.68% |
| STERB3N vs Jun | 21–22 | 48.84% |
| STERB3N vs Xiaoyu | 20–20 | 50.00% |
| STERB3N vs Alisa | 12–28 | 30.00% |
| STERB3N vs Leroy | 22–18 | 55.00% |
| STERB3N vs Anna | 14–25 | 35.90% |
| STERB3N vs Raven | 18–20 | 47.37% |
| STERB3N vs Victor | 16–20 | 44.44% |
| STERB3N vs Lidia | 12–24 | 33.33% |
| STERB3N vs Jack-8 | 18–16 | 52.94% |
| STERB3N vs Fahkumram | 16–13 | 55.17% |
| STERB3N vs Clive | 11–16 | 40.74% |
| STERB3N vs Claudio | 11–13 | 45.83% |
| STERB3N vs Kuma | 14–6 | 70.00% |
| STERB3N vs Shaheen | 10–8 | 55.56% |
| STERB3N vs Zafina | 6–6 | 50.00% |
| STERB3N vs Armor King | 6–4 | 60.00% |
| STERB3N vs Panda | 1–2 | 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.