| TekkSupport vs Hwoarang | 54–62 | 46.55% |
| TekkSupport vs Kazuya | 55–52 | 51.40% |
| TekkSupport vs Law | 52–54 | 49.06% |
| TekkSupport vs Jin | 51–43 | 54.26% |
| TekkSupport vs Bryan | 40–43 | 48.19% |
| TekkSupport vs King | 51–31 | 62.20% |
| TekkSupport vs Steve | 31–42 | 42.47% |
| TekkSupport vs Dragunov | 32–28 | 53.33% |
| TekkSupport vs Reina | 26–34 | 43.33% |
| TekkSupport vs Paul | 30–23 | 56.60% |
| TekkSupport vs Asuka | 29–24 | 54.72% |
| TekkSupport vs Lili | 22–26 | 45.83% |
| TekkSupport vs Xiaoyu | 29–15 | 65.91% |
| TekkSupport vs Victor | 21–23 | 47.73% |
| TekkSupport vs Yoshimitsu | 20–23 | 46.51% |
| TekkSupport vs Jun | 26–17 | 60.47% |
| TekkSupport vs Feng | 20–17 | 54.05% |
| TekkSupport vs Heihachi | 17–19 | 47.22% |
| TekkSupport vs Nina | 13–22 | 37.14% |
| TekkSupport vs Lee | 22–13 | 62.86% |
| TekkSupport vs Eddy | 18–17 | 51.43% |
| TekkSupport vs Devil Jin | 16–17 | 48.48% |
| TekkSupport vs Azucena | 15–18 | 45.45% |
| TekkSupport vs Alisa | 13–19 | 40.62% |
| TekkSupport vs Lars | 19–10 | 65.52% |
| TekkSupport vs Jack-8 | 10–15 | 40.00% |
| TekkSupport vs Clive | 8–11 | 42.11% |
| TekkSupport vs Leo | 11–7 | 61.11% |
| TekkSupport vs Leroy | 7–11 | 38.89% |
| TekkSupport vs Raven | 8–10 | 44.44% |
| TekkSupport vs Anna | 6–11 | 35.29% |
| TekkSupport vs Armor King | 12–5 | 70.59% |
| TekkSupport vs Claudio | 9–7 | 56.25% |
| TekkSupport vs Kuma | 7–9 | 43.75% |
| TekkSupport vs Lidia | 9–7 | 56.25% |
| TekkSupport vs Miary Zo | 6–10 | 37.50% |
| TekkSupport vs Zafina | 7–7 | 50.00% |
| TekkSupport vs Fahkumram | 0–12 | 0.00% |
| TekkSupport vs Shaheen | 6–5 | 54.55% |
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.