| HaiseNvrLose vs Reina | 9–12 | 42.86% |
| HaiseNvrLose vs Steve | 5–9 | 35.71% |
| HaiseNvrLose vs Kazuya | 2–10 | 16.67% |
| HaiseNvrLose vs Dragunov | 9–3 | 75.00% |
| HaiseNvrLose vs King | 5–4 | 55.56% |
| HaiseNvrLose vs Jin | 5–4 | 55.56% |
| HaiseNvrLose vs Lee | 2–7 | 22.22% |
| HaiseNvrLose vs Hwoarang | 4–4 | 50.00% |
| HaiseNvrLose vs Asuka | 3–5 | 37.50% |
| HaiseNvrLose vs Lars | 4–4 | 50.00% |
| HaiseNvrLose vs Eddy | 4–4 | 50.00% |
| HaiseNvrLose vs Armor King | 3–4 | 42.86% |
| HaiseNvrLose vs Paul | 1–4 | 20.00% |
| HaiseNvrLose vs Jun | 2–3 | 40.00% |
| HaiseNvrLose vs Law | 1–3 | 25.00% |
| HaiseNvrLose vs Yoshimitsu | 2–2 | 50.00% |
| HaiseNvrLose vs Lili | 4–0 | 100.00% |
| HaiseNvrLose vs Claudio | 0–4 | 0.00% |
| HaiseNvrLose vs Clive | 3–1 | 75.00% |
| HaiseNvrLose vs Xiaoyu | 2–1 | 66.67% |
| HaiseNvrLose vs Shaheen | 2–1 | 66.67% |
| HaiseNvrLose vs Azucena | 2–1 | 66.67% |
| HaiseNvrLose vs Jack-8 | 0–2 | 0.00% |
| HaiseNvrLose vs Feng | 2–0 | 100.00% |
| HaiseNvrLose vs Leo | 0–2 | 0.00% |
| HaiseNvrLose vs Alisa | 0–2 | 0.00% |
| HaiseNvrLose vs Nina | 0–2 | 0.00% |
| HaiseNvrLose vs Victor | 0–2 | 0.00% |
| HaiseNvrLose vs Anna | 2–0 | 100.00% |
| HaiseNvrLose vs Fahkumram | 0–2 | 0.00% |
| HaiseNvrLose vs Devil Jin | 0–1 | 0.00% |
| HaiseNvrLose vs Heihachi | 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.