| Périclès vs Jin | 57–47 | 54.81% |
| Périclès vs Reina | 43–58 | 42.57% |
| Périclès vs Dragunov | 55–39 | 58.51% |
| Périclès vs King | 49–44 | 52.69% |
| Périclès vs Hwoarang | 31–39 | 44.29% |
| Périclès vs Kazuya | 37–28 | 56.92% |
| Périclès vs Paul | 27–34 | 44.26% |
| Périclès vs Fahkumram | 25–33 | 43.10% |
| Périclès vs Steve | 30–27 | 52.63% |
| Périclès vs Heihachi | 24–32 | 42.86% |
| Périclès vs Law | 25–30 | 45.45% |
| Périclès vs Bryan | 22–29 | 43.14% |
| Périclès vs Devil Jin | 11–30 | 26.83% |
| Périclès vs Jun | 25–16 | 60.98% |
| Périclès vs Yoshimitsu | 20–17 | 54.05% |
| Périclès vs Azucena | 13–20 | 39.39% |
| Périclès vs Asuka | 23–8 | 74.19% |
| Périclès vs Lars | 11–17 | 39.29% |
| Périclès vs Clive | 18–9 | 66.67% |
| Périclès vs Jack-8 | 14–12 | 53.85% |
| Périclès vs Leo | 11–15 | 42.31% |
| Périclès vs Anna | 13–13 | 50.00% |
| Périclès vs Lili | 10–13 | 43.48% |
| Périclès vs Eddy | 7–15 | 31.82% |
| Périclès vs Alisa | 7–13 | 35.00% |
| Périclès vs Feng | 8–10 | 44.44% |
| Périclès vs Nina | 5–12 | 29.41% |
| Périclès vs Raven | 5–12 | 29.41% |
| Périclès vs Armor King | 9–8 | 52.94% |
| Périclès vs Leroy | 4–10 | 28.57% |
| Périclès vs Xiaoyu | 7–6 | 53.85% |
| Périclès vs Victor | 7–6 | 53.85% |
| Périclès vs Shaheen | 7–4 | 63.64% |
| Périclès vs Lee | 8–3 | 72.73% |
| Périclès vs Claudio | 5–5 | 50.00% |
| Périclès vs Lidia | 4–5 | 44.44% |
| Périclès vs Zafina | 5–3 | 62.50% |
| Périclès vs Miary Zo | 3–4 | 42.86% |
| Périclès vs Panda | 0–3 | 0.00% |
| Périclès vs Kuma | 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.