| Pukekoheko vs King | 60–66 | 47.62% |
| Pukekoheko vs Steve | 71–51 | 58.20% |
| Pukekoheko vs Jin | 44–58 | 43.14% |
| Pukekoheko vs Bryan | 52–50 | 50.98% |
| Pukekoheko vs Kazuya | 59–43 | 57.84% |
| Pukekoheko vs Dragunov | 38–51 | 42.70% |
| Pukekoheko vs Law | 36–37 | 49.32% |
| Pukekoheko vs Hwoarang | 18–34 | 34.62% |
| Pukekoheko vs Yoshimitsu | 25–18 | 58.14% |
| Pukekoheko vs Heihachi | 16–27 | 37.21% |
| Pukekoheko vs Lee | 21–20 | 51.22% |
| Pukekoheko vs Reina | 23–17 | 57.50% |
| Pukekoheko vs Devil Jin | 19–20 | 48.72% |
| Pukekoheko vs Armor King | 13–26 | 33.33% |
| Pukekoheko vs Paul | 16–20 | 44.44% |
| Pukekoheko vs Lili | 14–22 | 38.89% |
| Pukekoheko vs Asuka | 18–12 | 60.00% |
| Pukekoheko vs Fahkumram | 18–10 | 64.29% |
| Pukekoheko vs Raven | 18–9 | 66.67% |
| Pukekoheko vs Clive | 11–15 | 42.31% |
| Pukekoheko vs Eddy | 11–14 | 44.00% |
| Pukekoheko vs Victor | 14–9 | 60.87% |
| Pukekoheko vs Shaheen | 11–10 | 52.38% |
| Pukekoheko vs Azucena | 10–9 | 52.63% |
| Pukekoheko vs Jack-8 | 13–5 | 72.22% |
| Pukekoheko vs Lidia | 7–11 | 38.89% |
| Pukekoheko vs Miary Zo | 7–11 | 38.89% |
| Pukekoheko vs Xiaoyu | 7–10 | 41.18% |
| Pukekoheko vs Anna | 8–8 | 50.00% |
| Pukekoheko vs Jun | 8–7 | 53.33% |
| Pukekoheko vs Lars | 5–9 | 35.71% |
| Pukekoheko vs Claudio | 6–8 | 42.86% |
| Pukekoheko vs Feng | 5–7 | 41.67% |
| Pukekoheko vs Zafina | 5–7 | 41.67% |
| Pukekoheko vs Leo | 5–6 | 45.45% |
| Pukekoheko vs Alisa | 6–5 | 54.55% |
| Pukekoheko vs Nina | 5–6 | 45.45% |
| Pukekoheko vs Leroy | 5–4 | 55.56% |
| Pukekoheko vs Kuma | 4–0 | 100.00% |
| Pukekoheko vs Panda | 2–2 | 50.00% |
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.