| HAKIKANN vs Jin | 44–38 | 53.66% |
| HAKIKANN vs Steve | 41–39 | 51.25% |
| HAKIKANN vs King | 30–34 | 46.88% |
| HAKIKANN vs Dragunov | 17–31 | 35.42% |
| HAKIKANN vs Kazuya | 26–20 | 56.52% |
| HAKIKANN vs Reina | 18–26 | 40.91% |
| HAKIKANN vs Bryan | 22–21 | 51.16% |
| HAKIKANN vs Jun | 16–21 | 43.24% |
| HAKIKANN vs Law | 13–19 | 40.62% |
| HAKIKANN vs Heihachi | 12–18 | 40.00% |
| HAKIKANN vs Victor | 17–12 | 58.62% |
| HAKIKANN vs Clive | 10–19 | 34.48% |
| HAKIKANN vs Hwoarang | 14–14 | 50.00% |
| HAKIKANN vs Asuka | 10–16 | 38.46% |
| HAKIKANN vs Lee | 10–15 | 40.00% |
| HAKIKANN vs Lars | 8–14 | 36.36% |
| HAKIKANN vs Armor King | 6–16 | 27.27% |
| HAKIKANN vs Yoshimitsu | 11–9 | 55.00% |
| HAKIKANN vs Leo | 8–11 | 42.11% |
| HAKIKANN vs Devil Jin | 8–10 | 44.44% |
| HAKIKANN vs Fahkumram | 7–11 | 38.89% |
| HAKIKANN vs Paul | 6–11 | 35.29% |
| HAKIKANN vs Claudio | 7–9 | 43.75% |
| HAKIKANN vs Lidia | 8–8 | 50.00% |
| HAKIKANN vs Eddy | 7–8 | 46.67% |
| HAKIKANN vs Nina | 2–12 | 14.29% |
| HAKIKANN vs Xiaoyu | 6–4 | 60.00% |
| HAKIKANN vs Jack-8 | 5–5 | 50.00% |
| HAKIKANN vs Lili | 6–4 | 60.00% |
| HAKIKANN vs Alisa | 4–3 | 57.14% |
| HAKIKANN vs Kuma | 3–4 | 42.86% |
| HAKIKANN vs Feng | 3–3 | 50.00% |
| HAKIKANN vs Anna | 0–6 | 0.00% |
| HAKIKANN vs Miary Zo | 3–3 | 50.00% |
| HAKIKANN vs Zafina | 1–4 | 20.00% |
| HAKIKANN vs Panda | 0–4 | 0.00% |
| HAKIKANN vs Azucena | 3–0 | 100.00% |
| HAKIKANN vs Raven | 2–1 | 66.67% |
| HAKIKANN vs Leroy | 2–0 | 100.00% |
| HAKIKANN vs Shaheen | 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.