| iTz_ vs Kazuya | 27–23 | 54.00% |
| iTz_ vs Jin | 18–22 | 45.00% |
| iTz_ vs King | 16–16 | 50.00% |
| iTz_ vs Reina | 22–9 | 70.97% |
| iTz_ vs Paul | 18–11 | 62.07% |
| iTz_ vs Heihachi | 14–15 | 48.28% |
| iTz_ vs Lili | 18–8 | 69.23% |
| iTz_ vs Hwoarang | 9–14 | 39.13% |
| iTz_ vs Law | 11–7 | 61.11% |
| iTz_ vs Dragunov | 13–5 | 72.22% |
| iTz_ vs Bryan | 7–10 | 41.18% |
| iTz_ vs Armor King | 6–11 | 35.29% |
| iTz_ vs Yoshimitsu | 6–10 | 37.50% |
| iTz_ vs Jun | 12–4 | 75.00% |
| iTz_ vs Victor | 6–10 | 37.50% |
| iTz_ vs Steve | 7–8 | 46.67% |
| iTz_ vs Eddy | 7–8 | 46.67% |
| iTz_ vs Clive | 10–4 | 71.43% |
| iTz_ vs Devil Jin | 7–6 | 53.85% |
| iTz_ vs Lars | 10–2 | 83.33% |
| iTz_ vs Nina | 7–5 | 58.33% |
| iTz_ vs Jack-8 | 8–3 | 72.73% |
| iTz_ vs Feng | 5–5 | 50.00% |
| iTz_ vs Azucena | 3–7 | 30.00% |
| iTz_ vs Anna | 4–4 | 50.00% |
| iTz_ vs Asuka | 1–4 | 20.00% |
| iTz_ vs Claudio | 3–2 | 60.00% |
| iTz_ vs Lee | 2–3 | 40.00% |
| iTz_ vs Fahkumram | 3–2 | 60.00% |
| iTz_ vs Miary Zo | 3–2 | 60.00% |
| iTz_ vs Xiaoyu | 3–1 | 75.00% |
| iTz_ vs Leo | 1–3 | 25.00% |
| iTz_ vs Shaheen | 2–2 | 50.00% |
| iTz_ vs Kuma | 3–1 | 75.00% |
| iTz_ vs Panda | 4–0 | 100.00% |
| iTz_ vs Lidia | 0–4 | 0.00% |
| iTz_ vs Alisa | 1–2 | 33.33% |
| iTz_ vs Zafina | 2–0 | 100.00% |
| iTz_ vs Leroy | 2–0 | 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.