| Pookiebear16 vs Jin | 27–52 | 34.18% |
| Pookiebear16 vs Kazuya | 43–36 | 54.43% |
| Pookiebear16 vs King | 39–34 | 53.42% |
| Pookiebear16 vs Steve | 35–29 | 54.69% |
| Pookiebear16 vs Hwoarang | 27–33 | 45.00% |
| Pookiebear16 vs Bryan | 26–30 | 46.43% |
| Pookiebear16 vs Dragunov | 32–22 | 59.26% |
| Pookiebear16 vs Law | 26–26 | 50.00% |
| Pookiebear16 vs Lili | 23–23 | 50.00% |
| Pookiebear16 vs Azucena | 27–18 | 60.00% |
| Pookiebear16 vs Reina | 24–18 | 57.14% |
| Pookiebear16 vs Asuka | 27–14 | 65.85% |
| Pookiebear16 vs Xiaoyu | 18–18 | 50.00% |
| Pookiebear16 vs Heihachi | 17–19 | 47.22% |
| Pookiebear16 vs Lee | 15–20 | 42.86% |
| Pookiebear16 vs Lars | 15–19 | 44.12% |
| Pookiebear16 vs Yoshimitsu | 14–19 | 42.42% |
| Pookiebear16 vs Eddy | 15–18 | 45.45% |
| Pookiebear16 vs Leroy | 12–20 | 37.50% |
| Pookiebear16 vs Paul | 13–17 | 43.33% |
| Pookiebear16 vs Leo | 16–13 | 55.17% |
| Pookiebear16 vs Jun | 8–21 | 27.59% |
| Pookiebear16 vs Victor | 13–13 | 50.00% |
| Pookiebear16 vs Raven | 16–10 | 61.54% |
| Pookiebear16 vs Lidia | 8–14 | 36.36% |
| Pookiebear16 vs Nina | 8–12 | 40.00% |
| Pookiebear16 vs Jack-8 | 7–12 | 36.84% |
| Pookiebear16 vs Devil Jin | 10–9 | 52.63% |
| Pookiebear16 vs Feng | 6–13 | 31.58% |
| Pookiebear16 vs Claudio | 11–8 | 57.89% |
| Pookiebear16 vs Alisa | 8–7 | 53.33% |
| Pookiebear16 vs Zafina | 6–4 | 60.00% |
| Pookiebear16 vs Shaheen | 5–3 | 62.50% |
| Pookiebear16 vs Kuma | 4–3 | 57.14% |
| Pookiebear16 vs Clive | 4–3 | 57.14% |
| Pookiebear16 vs Anna | 5–1 | 83.33% |
| Pookiebear16 vs Fahkumram | 2–2 | 50.00% |
| Pookiebear16 vs Panda | 0–2 | 0.00% |
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.