| Arbitron_Knight vs King | 12–1 | 92.31% |
| Arbitron_Knight vs Dragunov | 9–2 | 81.82% |
| Arbitron_Knight vs Law | 10–0 | 100.00% |
| Arbitron_Knight vs Kazuya | 8–2 | 80.00% |
| Arbitron_Knight vs Lili | 7–2 | 77.78% |
| Arbitron_Knight vs Bryan | 6–2 | 75.00% |
| Arbitron_Knight vs Jun | 8–0 | 100.00% |
| Arbitron_Knight vs Jin | 6–1 | 85.71% |
| Arbitron_Knight vs Reina | 7–0 | 100.00% |
| Arbitron_Knight vs Leo | 3–2 | 60.00% |
| Arbitron_Knight vs Lars | 4–1 | 80.00% |
| Arbitron_Knight vs Nina | 3–1 | 75.00% |
| Arbitron_Knight vs Clive | 3–1 | 75.00% |
| Arbitron_Knight vs Xiaoyu | 3–0 | 100.00% |
| Arbitron_Knight vs Feng | 2–1 | 66.67% |
| Arbitron_Knight vs Raven | 3–0 | 100.00% |
| Arbitron_Knight vs Eddy | 3–0 | 100.00% |
| Arbitron_Knight vs Paul | 2–0 | 100.00% |
| Arbitron_Knight vs Yoshimitsu | 2–0 | 100.00% |
| Arbitron_Knight vs Steve | 0–2 | 0.00% |
| Arbitron_Knight vs Alisa | 2–0 | 100.00% |
| Arbitron_Knight vs Lee | 1–1 | 50.00% |
| Arbitron_Knight vs Kuma | 2–0 | 100.00% |
| Arbitron_Knight vs Leroy | 2–0 | 100.00% |
| Arbitron_Knight vs Azucena | 2–0 | 100.00% |
| Arbitron_Knight vs Hwoarang | 1–0 | 100.00% |
| Arbitron_Knight vs Claudio | 0–1 | 0.00% |
| Arbitron_Knight vs Zafina | 0–1 | 0.00% |
| Arbitron_Knight vs Heihachi | 0–1 | 0.00% |
| Arbitron_Knight vs Armor King | 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.