Name history
| Derpy | |
| I<3TrashPandas | |
| The Library ツ | |
| AsukaJigglesツ | |
| WaifuMainツ | |
| Derpyツ | |
| MommyReinaツ |
| Derpy vs Kazuya | 74–45 | 62.18% |
| Derpy vs Jin | 53–42 | 55.79% |
| Derpy vs Bryan | 32–28 | 53.33% |
| Derpy vs King | 31–25 | 55.36% |
| Derpy vs Reina | 39–17 | 69.64% |
| Derpy vs Law | 26–29 | 47.27% |
| Derpy vs Steve | 26–24 | 52.00% |
| Derpy vs Hwoarang | 27–15 | 64.29% |
| Derpy vs Azucena | 21–16 | 56.76% |
| Derpy vs Xiaoyu | 18–18 | 50.00% |
| Derpy vs Asuka | 22–14 | 61.11% |
| Derpy vs Lili | 18–18 | 50.00% |
| Derpy vs Lee | 21–15 | 58.33% |
| Derpy vs Paul | 18–16 | 52.94% |
| Derpy vs Leroy | 20–11 | 64.52% |
| Derpy vs Heihachi | 17–14 | 54.84% |
| Derpy vs Lars | 14–16 | 46.67% |
| Derpy vs Yoshimitsu | 14–15 | 48.28% |
| Derpy vs Dragunov | 11–16 | 40.74% |
| Derpy vs Eddy | 12–14 | 46.15% |
| Derpy vs Armor King | 16–9 | 64.00% |
| Derpy vs Leo | 20–3 | 86.96% |
| Derpy vs Nina | 12–11 | 52.17% |
| Derpy vs Jun | 13–6 | 68.42% |
| Derpy vs Raven | 7–11 | 38.89% |
| Derpy vs Lidia | 8–10 | 44.44% |
| Derpy vs Kuma | 8–8 | 50.00% |
| Derpy vs Jack-8 | 8–7 | 53.33% |
| Derpy vs Victor | 7–8 | 46.67% |
| Derpy vs Devil Jin | 6–8 | 42.86% |
| Derpy vs Feng | 4–10 | 28.57% |
| Derpy vs Alisa | 8–6 | 57.14% |
| Derpy vs Claudio | 6–8 | 42.86% |
| Derpy vs Miary Zo | 9–4 | 69.23% |
| Derpy vs Shaheen | 4–6 | 40.00% |
| Derpy vs Clive | 6–4 | 60.00% |
| Derpy vs Fahkumram | 5–5 | 50.00% |
| Derpy vs Anna | 5–3 | 62.50% |
| Derpy vs Zafina | 2–3 | 40.00% |
| Derpy vs Panda | 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.