| kSquared vs King | 44–55 | 44.44% |
| kSquared vs Jin | 51–43 | 54.26% |
| kSquared vs Kazuya | 45–49 | 47.87% |
| kSquared vs Reina | 35–39 | 47.30% |
| kSquared vs Heihachi | 32–35 | 47.76% |
| kSquared vs Steve | 39–17 | 69.64% |
| kSquared vs Lee | 27–28 | 49.09% |
| kSquared vs Bryan | 27–27 | 50.00% |
| kSquared vs Law | 22–29 | 43.14% |
| kSquared vs Armor King | 17–33 | 34.00% |
| kSquared vs Lili | 25–23 | 52.08% |
| kSquared vs Dragunov | 21–26 | 44.68% |
| kSquared vs Jun | 23–23 | 50.00% |
| kSquared vs Lars | 24–18 | 57.14% |
| kSquared vs Azucena | 21–18 | 53.85% |
| kSquared vs Asuka | 16–20 | 44.44% |
| kSquared vs Hwoarang | 14–21 | 40.00% |
| kSquared vs Yoshimitsu | 14–16 | 46.67% |
| kSquared vs Clive | 13–17 | 43.33% |
| kSquared vs Paul | 14–15 | 48.28% |
| kSquared vs Feng | 15–14 | 51.72% |
| kSquared vs Victor | 16–12 | 57.14% |
| kSquared vs Anna | 13–15 | 46.43% |
| kSquared vs Nina | 13–14 | 48.15% |
| kSquared vs Eddy | 12–12 | 50.00% |
| kSquared vs Leo | 12–11 | 52.17% |
| kSquared vs Lidia | 9–14 | 39.13% |
| kSquared vs Raven | 14–8 | 63.64% |
| kSquared vs Claudio | 10–10 | 50.00% |
| kSquared vs Fahkumram | 11–9 | 55.00% |
| kSquared vs Jack-8 | 10–9 | 52.63% |
| kSquared vs Xiaoyu | 9–9 | 50.00% |
| kSquared vs Devil Jin | 9–9 | 50.00% |
| kSquared vs Alisa | 9–6 | 60.00% |
| kSquared vs Kuma | 8–7 | 53.33% |
| kSquared vs Miary Zo | 6–6 | 50.00% |
| kSquared vs Leroy | 7–4 | 63.64% |
| kSquared vs Zafina | 4–2 | 66.67% |
| kSquared vs Shaheen | 1–2 | 33.33% |
| kSquared vs Panda | 3–0 | 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.