| Haikal2000 vs Bryan | 39–38 | 50.65% |
| Haikal2000 vs King | 34–40 | 45.95% |
| Haikal2000 vs Jin | 30–39 | 43.48% |
| Haikal2000 vs Dragunov | 24–41 | 36.92% |
| Haikal2000 vs Steve | 39–15 | 72.22% |
| Haikal2000 vs Kazuya | 15–33 | 31.25% |
| Haikal2000 vs Reina | 20–23 | 46.51% |
| Haikal2000 vs Armor King | 9–34 | 20.93% |
| Haikal2000 vs Law | 18–17 | 51.43% |
| Haikal2000 vs Heihachi | 8–27 | 22.86% |
| Haikal2000 vs Lars | 19–14 | 57.58% |
| Haikal2000 vs Clive | 10–22 | 31.25% |
| Haikal2000 vs Lee | 15–15 | 50.00% |
| Haikal2000 vs Azucena | 10–14 | 41.67% |
| Haikal2000 vs Asuka | 11–12 | 47.83% |
| Haikal2000 vs Victor | 7–15 | 31.82% |
| Haikal2000 vs Hwoarang | 5–16 | 23.81% |
| Haikal2000 vs Lili | 7–14 | 33.33% |
| Haikal2000 vs Yoshimitsu | 10–10 | 50.00% |
| Haikal2000 vs Xiaoyu | 11–9 | 55.00% |
| Haikal2000 vs Paul | 8–11 | 42.11% |
| Haikal2000 vs Devil Jin | 4–15 | 21.05% |
| Haikal2000 vs Jun | 6–10 | 37.50% |
| Haikal2000 vs Alisa | 6–9 | 40.00% |
| Haikal2000 vs Raven | 7–8 | 46.67% |
| Haikal2000 vs Leo | 5–9 | 35.71% |
| Haikal2000 vs Jack-8 | 6–6 | 50.00% |
| Haikal2000 vs Feng | 3–9 | 25.00% |
| Haikal2000 vs Eddy | 5–7 | 41.67% |
| Haikal2000 vs Fahkumram | 6–6 | 50.00% |
| Haikal2000 vs Miary Zo | 3–9 | 25.00% |
| Haikal2000 vs Claudio | 4–5 | 44.44% |
| Haikal2000 vs Anna | 7–2 | 77.78% |
| Haikal2000 vs Nina | 2–3 | 40.00% |
| Haikal2000 vs Panda | 2–3 | 40.00% |
| Haikal2000 vs Zafina | 2–2 | 50.00% |
| Haikal2000 vs Shaheen | 1–2 | 33.33% |
| Haikal2000 vs Lidia | 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.