| TreKlick vs Kazuya | 69–49 | 58.47% |
| TreKlick vs Jin | 51–61 | 45.54% |
| TreKlick vs King | 57–51 | 52.78% |
| TreKlick vs Heihachi | 56–47 | 54.37% |
| TreKlick vs Bryan | 48–52 | 48.00% |
| TreKlick vs Law | 37–46 | 44.58% |
| TreKlick vs Reina | 47–35 | 57.32% |
| TreKlick vs Dragunov | 28–38 | 42.42% |
| TreKlick vs Hwoarang | 28–37 | 43.08% |
| TreKlick vs Yoshimitsu | 33–21 | 61.11% |
| TreKlick vs Lili | 18–30 | 37.50% |
| TreKlick vs Steve | 26–21 | 55.32% |
| TreKlick vs Lee | 20–22 | 47.62% |
| TreKlick vs Alisa | 17–24 | 41.46% |
| TreKlick vs Azucena | 17–22 | 43.59% |
| TreKlick vs Nina | 25–12 | 67.57% |
| TreKlick vs Jun | 21–16 | 56.76% |
| TreKlick vs Devil Jin | 21–14 | 60.00% |
| TreKlick vs Paul | 12–21 | 36.36% |
| TreKlick vs Feng | 16–17 | 48.48% |
| TreKlick vs Xiaoyu | 17–15 | 53.12% |
| TreKlick vs Asuka | 19–13 | 59.38% |
| TreKlick vs Leo | 16–16 | 50.00% |
| TreKlick vs Lars | 12–18 | 40.00% |
| TreKlick vs Eddy | 13–17 | 43.33% |
| TreKlick vs Leroy | 17–5 | 77.27% |
| TreKlick vs Clive | 14–8 | 63.64% |
| TreKlick vs Raven | 8–13 | 38.10% |
| TreKlick vs Fahkumram | 14–7 | 66.67% |
| TreKlick vs Jack-8 | 12–8 | 60.00% |
| TreKlick vs Claudio | 11–9 | 55.00% |
| TreKlick vs Victor | 8–12 | 40.00% |
| TreKlick vs Shaheen | 9–9 | 50.00% |
| TreKlick vs Kuma | 8–6 | 57.14% |
| TreKlick vs Zafina | 7–4 | 63.64% |
| TreKlick vs Lidia | 7–3 | 70.00% |
| TreKlick vs Panda | 2–5 | 28.57% |
| TreKlick vs Miary Zo | 4–3 | 57.14% |
| TreKlick vs Anna | 2–3 | 40.00% |
| TreKlick vs Armor King | 2–1 | 66.67% |
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.