| iTzKCO vs Bryan | 18–2 | 90.00% |
| iTzKCO vs King | 16–3 | 84.21% |
| iTzKCO vs Kazuya | 16–3 | 84.21% |
| iTzKCO vs Reina | 12–4 | 75.00% |
| iTzKCO vs Lee | 10–5 | 66.67% |
| iTzKCO vs Steve | 10–4 | 71.43% |
| iTzKCO vs Dragunov | 11–3 | 78.57% |
| iTzKCO vs Law | 7–3 | 70.00% |
| iTzKCO vs Jun | 7–2 | 77.78% |
| iTzKCO vs Jin | 6–2 | 75.00% |
| iTzKCO vs Asuka | 6–2 | 75.00% |
| iTzKCO vs Azucena | 7–0 | 100.00% |
| iTzKCO vs Lili | 6–0 | 100.00% |
| iTzKCO vs Lars | 4–2 | 66.67% |
| iTzKCO vs Victor | 4–2 | 66.67% |
| iTzKCO vs Yoshimitsu | 5–0 | 100.00% |
| iTzKCO vs Raven | 4–1 | 80.00% |
| iTzKCO vs Xiaoyu | 2–2 | 50.00% |
| iTzKCO vs Feng | 2–2 | 50.00% |
| iTzKCO vs Kuma | 4–0 | 100.00% |
| iTzKCO vs Leroy | 3–1 | 75.00% |
| iTzKCO vs Lidia | 3–1 | 75.00% |
| iTzKCO vs Heihachi | 4–0 | 100.00% |
| iTzKCO vs Clive | 2–2 | 50.00% |
| iTzKCO vs Hwoarang | 2–1 | 66.67% |
| iTzKCO vs Shaheen | 1–2 | 33.33% |
| iTzKCO vs Nina | 2–1 | 66.67% |
| iTzKCO vs Anna | 2–1 | 66.67% |
| iTzKCO vs Armor King | 2–1 | 66.67% |
| iTzKCO vs Paul | 2–0 | 100.00% |
| iTzKCO vs Leo | 1–1 | 50.00% |
| iTzKCO vs Alisa | 1–1 | 50.00% |
| iTzKCO vs Fahkumram | 0–2 | 0.00% |
| iTzKCO vs Jack-8 | 1–0 | 100.00% |
| iTzKCO vs Devil Jin | 1–0 | 100.00% |
| iTzKCO vs Panda | 1–0 | 100.00% |
| iTzKCO vs Zafina | 1–0 | 100.00% |
| iTzKCO vs Eddy | 0–1 | 0.00% |
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.