| Pivo vs Jin | 66–63 | 51.16% |
| Pivo vs Hwoarang | 62–62 | 50.00% |
| Pivo vs Kazuya | 54–59 | 47.79% |
| Pivo vs Law | 54–48 | 52.94% |
| Pivo vs Bryan | 52–42 | 55.32% |
| Pivo vs Paul | 56–36 | 60.87% |
| Pivo vs King | 53–39 | 57.61% |
| Pivo vs Steve | 38–46 | 45.24% |
| Pivo vs Fahkumram | 45–38 | 54.22% |
| Pivo vs Lars | 40–37 | 51.95% |
| Pivo vs Eddy | 36–37 | 49.32% |
| Pivo vs Nina | 31–21 | 59.62% |
| Pivo vs Xiaoyu | 26–24 | 52.00% |
| Pivo vs Devil Jin | 29–21 | 58.00% |
| Pivo vs Dragunov | 28–22 | 56.00% |
| Pivo vs Reina | 27–22 | 55.10% |
| Pivo vs Yoshimitsu | 18–29 | 38.30% |
| Pivo vs Feng | 24–23 | 51.06% |
| Pivo vs Lee | 24–21 | 53.33% |
| Pivo vs Raven | 22–20 | 52.38% |
| Pivo vs Jack-8 | 22–18 | 55.00% |
| Pivo vs Asuka | 18–22 | 45.00% |
| Pivo vs Lili | 16–19–1 | 45.71% |
| Pivo vs Heihachi | 22–14 | 61.11% |
| Pivo vs Alisa | 22–12 | 64.71% |
| Pivo vs Jun | 14–17 | 45.16% |
| Pivo vs Anna | 14–15 | 48.28% |
| Pivo vs Leroy | 15–13 | 53.57% |
| Pivo vs Azucena | 9–17 | 34.62% |
| Pivo vs Zafina | 7–17 | 29.17% |
| Pivo vs Armor King | 12–10 | 54.55% |
| Pivo vs Lidia | 9–9 | 50.00% |
| Pivo vs Victor | 3–14 | 17.65% |
| Pivo vs Claudio | 8–6 | 57.14% |
| Pivo vs Leo | 9–4 | 69.23% |
| Pivo vs Shaheen | 4–6 | 40.00% |
| Pivo vs Kuma | 4–6 | 40.00% |
| Pivo vs Clive | 2–7 | 22.22% |
| Pivo vs Panda | 2–2 | 50.00% |
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.