| Prenzelberg vs Jin | 47–69 | 40.52% |
| Prenzelberg vs King | 35–61 | 36.46% |
| Prenzelberg vs Law | 38–49 | 43.68% |
| Prenzelberg vs Kazuya | 20–58 | 25.64% |
| Prenzelberg vs Steve | 30–45 | 40.00% |
| Prenzelberg vs Reina | 31–43 | 41.89% |
| Prenzelberg vs Bryan | 22–38 | 36.67% |
| Prenzelberg vs Hwoarang | 28–31 | 47.46% |
| Prenzelberg vs Eddy | 19–40 | 32.20% |
| Prenzelberg vs Heihachi | 15–31 | 32.61% |
| Prenzelberg vs Lili | 15–27 | 35.71% |
| Prenzelberg vs Asuka | 18–21 | 46.15% |
| Prenzelberg vs Dragunov | 16–19 | 45.71% |
| Prenzelberg vs Clive | 11–23 | 32.35% |
| Prenzelberg vs Paul | 13–19 | 40.62% |
| Prenzelberg vs Jun | 8–22 | 26.67% |
| Prenzelberg vs Alisa | 9–20 | 31.03% |
| Prenzelberg vs Fahkumram | 10–19 | 34.48% |
| Prenzelberg vs Xiaoyu | 11–17 | 39.29% |
| Prenzelberg vs Azucena | 13–15 | 46.43% |
| Prenzelberg vs Yoshimitsu | 10–17 | 37.04% |
| Prenzelberg vs Lars | 11–15 | 42.31% |
| Prenzelberg vs Devil Jin | 7–16 | 30.43% |
| Prenzelberg vs Nina | 8–15 | 34.78% |
| Prenzelberg vs Anna | 11–12 | 47.83% |
| Prenzelberg vs Leo | 7–15 | 31.82% |
| Prenzelberg vs Lidia | 8–13 | 38.10% |
| Prenzelberg vs Feng | 8–10 | 44.44% |
| Prenzelberg vs Victor | 6–12 | 33.33% |
| Prenzelberg vs Jack-8 | 9–8 | 52.94% |
| Prenzelberg vs Lee | 4–12 | 25.00% |
| Prenzelberg vs Leroy | 5–10 | 33.33% |
| Prenzelberg vs Claudio | 1–7 | 12.50% |
| Prenzelberg vs Raven | 5–3 | 62.50% |
| Prenzelberg vs Kuma | 2–5 | 28.57% |
| Prenzelberg vs Panda | 1–3 | 25.00% |
| Prenzelberg vs Zafina | 3–1 | 75.00% |
| Prenzelberg vs Shaheen | 1–2 | 33.33% |
| Prenzelberg vs Armor King | 3–0 | 100.00% |
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.