鷹飛ツバサ@Twitch vs Eddy | 27–18 | 60.00% |
鷹飛ツバサ@Twitch vs Dragunov | 20–12 | 62.50% |
鷹飛ツバサ@Twitch vs Kazuya | 20–10 | 66.67% |
鷹飛ツバサ@Twitch vs Hwoarang | 16–13 | 55.17% |
鷹飛ツバサ@Twitch vs King | 21–7 | 75.00% |
鷹飛ツバサ@Twitch vs Bryan | 15–12 | 55.56% |
鷹飛ツバサ@Twitch vs Devil Jin | 20–7 | 74.07% |
鷹飛ツバサ@Twitch vs Paul | 15–10 | 60.00% |
鷹飛ツバサ@Twitch vs Lili | 24–1 | 96.00% |
鷹飛ツバサ@Twitch vs Azucena | 16–9 | 64.00% |
鷹飛ツバサ@Twitch vs Reina | 17–7 | 70.83% |
鷹飛ツバサ@Twitch vs Lars | 17–5 | 77.27% |
鷹飛ツバサ@Twitch vs Jun | 10–11 | 47.62% |
鷹飛ツバサ@Twitch vs Victor | 16–4 | 80.00% |
鷹飛ツバサ@Twitch vs Jin | 13–6 | 68.42% |
鷹飛ツバサ@Twitch vs Steve | 11–8 | 57.89% |
鷹飛ツバサ@Twitch vs Nina | 9–10 | 47.37% |
鷹飛ツバサ@Twitch vs Xiaoyu | 13–3 | 81.25% |
鷹飛ツバサ@Twitch vs Claudio | 4–12 | 25.00% |
鷹飛ツバサ@Twitch vs Asuka | 7–8 | 46.67% |
鷹飛ツバサ@Twitch vs Law | 8–5 | 61.54% |
鷹飛ツバサ@Twitch vs Feng | 8–5 | 61.54% |
鷹飛ツバサ@Twitch vs Leo | 7–4 | 63.64% |
鷹飛ツバサ@Twitch vs Lee | 7–4 | 63.64% |
鷹飛ツバサ@Twitch vs Raven | 4–7 | 36.36% |
鷹飛ツバサ@Twitch vs Jack-8 | 5–4 | 55.56% |
鷹飛ツバサ@Twitch vs Kuma | 6–2 | 75.00% |
鷹飛ツバサ@Twitch vs Leroy | 3–5 | 37.50% |
鷹飛ツバサ@Twitch vs Shaheen | 3–4 | 42.86% |
鷹飛ツバサ@Twitch vs Zafina | 2–5 | 28.57% |
鷹飛ツバサ@Twitch vs Alisa | 5–1 | 83.33% |
鷹飛ツバサ@Twitch vs Panda | 5–1 | 83.33% |
鷹飛ツバサ@Twitch vs Lidia | 4–2 | 66.67% |
鷹飛ツバサ@Twitch vs Yoshimitsu | 5–0 | 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.