| PEENUT4LYFE vs Jin | 32–36 | 47.06% |
| PEENUT4LYFE vs Kazuya | 45–21 | 68.18% |
| PEENUT4LYFE vs King | 42–23 | 64.62% |
| PEENUT4LYFE vs Reina | 33–22 | 60.00% |
| PEENUT4LYFE vs Yoshimitsu | 28–26 | 51.85% |
| PEENUT4LYFE vs Eddy | 33–18 | 64.71% |
| PEENUT4LYFE vs Steve | 30–19 | 61.22% |
| PEENUT4LYFE vs Dragunov | 27–21 | 56.25% |
| PEENUT4LYFE vs Hwoarang | 22–22 | 50.00% |
| PEENUT4LYFE vs Lidia | 22–22 | 50.00% |
| PEENUT4LYFE vs Law | 13–27 | 32.50% |
| PEENUT4LYFE vs Victor | 23–15 | 60.53% |
| PEENUT4LYFE vs Lili | 19–17 | 52.78% |
| PEENUT4LYFE vs Xiaoyu | 15–20 | 42.86% |
| PEENUT4LYFE vs Azucena | 17–15 | 53.12% |
| PEENUT4LYFE vs Lee | 14–16 | 46.67% |
| PEENUT4LYFE vs Paul | 13–16 | 44.83% |
| PEENUT4LYFE vs Leroy | 16–13 | 55.17% |
| PEENUT4LYFE vs Jun | 12–17 | 41.38% |
| PEENUT4LYFE vs Bryan | 12–15 | 44.44% |
| PEENUT4LYFE vs Alisa | 12–15 | 44.44% |
| PEENUT4LYFE vs Leo | 12–13 | 48.00% |
| PEENUT4LYFE vs Lars | 12–12 | 50.00% |
| PEENUT4LYFE vs Asuka | 14–6 | 70.00% |
| PEENUT4LYFE vs Kuma | 8–10 | 44.44% |
| PEENUT4LYFE vs Feng | 7–10 | 41.18% |
| PEENUT4LYFE vs Nina | 10–7 | 58.82% |
| PEENUT4LYFE vs Jack-8 | 7–9 | 43.75% |
| PEENUT4LYFE vs Raven | 7–7 | 50.00% |
| PEENUT4LYFE vs Heihachi | 6–8 | 42.86% |
| PEENUT4LYFE vs Devil Jin | 4–8 | 33.33% |
| PEENUT4LYFE vs Claudio | 5–4 | 55.56% |
| PEENUT4LYFE vs Zafina | 4–4 | 50.00% |
| PEENUT4LYFE vs Fahkumram | 2–5 | 28.57% |
| PEENUT4LYFE vs Panda | 2–4 | 33.33% |
| PEENUT4LYFE vs Shaheen | 2–3 | 40.00% |
| PEENUT4LYFE vs Clive | 2–0 | 100.00% |
| PEENUT4LYFE vs Anna | 0–2 | 0.00% |
| PEENUT4LYFE vs Armor King | 1–0 | 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.