| iTsKLiCK vs Bryan | 160–140 | 53.33% |
| iTsKLiCK vs Kazuya | 144–114 | 55.81% |
| iTsKLiCK vs Steve | 125–106 | 54.11% |
| iTsKLiCK vs King | 116–82 | 58.59% |
| iTsKLiCK vs Jin | 109–76 | 58.92% |
| iTsKLiCK vs Paul | 97–80 | 54.80% |
| iTsKLiCK vs Reina | 100–63 | 61.35% |
| iTsKLiCK vs Hwoarang | 70–88 | 44.30% |
| iTsKLiCK vs Lee | 75–83 | 47.47% |
| iTsKLiCK vs Dragunov | 86–62 | 58.11% |
| iTsKLiCK vs Heihachi | 92–54 | 63.01% |
| iTsKLiCK vs Devil Jin | 60–63 | 48.78% |
| iTsKLiCK vs Lars | 60–43 | 58.25% |
| iTsKLiCK vs Yoshimitsu | 45–52 | 46.39% |
| iTsKLiCK vs Law | 51–45 | 53.12% |
| iTsKLiCK vs Jun | 46–41 | 52.87% |
| iTsKLiCK vs Lili | 45–35 | 56.25% |
| iTsKLiCK vs Feng | 44–32 | 57.89% |
| iTsKLiCK vs Victor | 41–34 | 54.67% |
| iTsKLiCK vs Asuka | 38–32 | 54.29% |
| iTsKLiCK vs Jack-8 | 39–23 | 62.90% |
| iTsKLiCK vs Eddy | 33–28 | 54.10% |
| iTsKLiCK vs Azucena | 32–25 | 56.14% |
| iTsKLiCK vs Claudio | 33–19 | 63.46% |
| iTsKLiCK vs Nina | 35–17 | 67.31% |
| iTsKLiCK vs Lidia | 25–27 | 48.08% |
| iTsKLiCK vs Alisa | 27–24 | 52.94% |
| iTsKLiCK vs Shaheen | 25–22 | 53.19% |
| iTsKLiCK vs Leo | 19–23 | 45.24% |
| iTsKLiCK vs Leroy | 20–14 | 58.82% |
| iTsKLiCK vs Raven | 24–9 | 72.73% |
| iTsKLiCK vs Xiaoyu | 18–14 | 56.25% |
| iTsKLiCK vs Clive | 11–19 | 36.67% |
| iTsKLiCK vs Fahkumram | 16–7 | 69.57% |
| iTsKLiCK vs Anna | 12–10 | 54.55% |
| iTsKLiCK vs Kuma | 9–9 | 50.00% |
| iTsKLiCK vs Panda | 7–7 | 50.00% |
| iTsKLiCK vs Armor King | 3–11 | 21.43% |
| iTsKLiCK vs Zafina | 3–7 | 30.00% |
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.