| Trock1999 vs King | 55–41 | 57.29% |
| Trock1999 vs Hwoarang | 34–59 | 36.56% |
| Trock1999 vs Jin | 33–51 | 39.29% |
| Trock1999 vs Steve | 34–48 | 41.46% |
| Trock1999 vs Reina | 47–33 | 58.75% |
| Trock1999 vs Victor | 36–27 | 57.14% |
| Trock1999 vs Law | 29–33 | 46.77% |
| Trock1999 vs Heihachi | 23–34 | 40.35% |
| Trock1999 vs Kazuya | 24–32 | 42.86% |
| Trock1999 vs Yoshimitsu | 24–28 | 46.15% |
| Trock1999 vs Eddy | 23–26 | 46.94% |
| Trock1999 vs Lili | 28–20 | 58.33% |
| Trock1999 vs Azucena | 16–31 | 34.04% |
| Trock1999 vs Dragunov | 21–24 | 46.67% |
| Trock1999 vs Lidia | 17–28 | 37.78% |
| Trock1999 vs Jun | 21–23 | 47.73% |
| Trock1999 vs Bryan | 21–22 | 48.84% |
| Trock1999 vs Devil Jin | 17–21 | 44.74% |
| Trock1999 vs Lee | 22–12 | 64.71% |
| Trock1999 vs Paul | 12–21 | 36.36% |
| Trock1999 vs Lars | 13–20 | 39.39% |
| Trock1999 vs Xiaoyu | 19–12 | 61.29% |
| Trock1999 vs Armor King | 11–19 | 36.67% |
| Trock1999 vs Nina | 10–18 | 35.71% |
| Trock1999 vs Clive | 6–20 | 23.08% |
| Trock1999 vs Leo | 12–13 | 48.00% |
| Trock1999 vs Asuka | 8–16 | 33.33% |
| Trock1999 vs Feng | 11–13 | 45.83% |
| Trock1999 vs Claudio | 12–12 | 50.00% |
| Trock1999 vs Leroy | 11–12 | 47.83% |
| Trock1999 vs Raven | 14–8 | 63.64% |
| Trock1999 vs Anna | 8–13 | 38.10% |
| Trock1999 vs Alisa | 8–12 | 40.00% |
| Trock1999 vs Zafina | 7–10 | 41.18% |
| Trock1999 vs Kuma | 3–11 | 21.43% |
| Trock1999 vs Fahkumram | 6–8 | 42.86% |
| Trock1999 vs Shaheen | 5–6 | 45.45% |
| Trock1999 vs Jack-8 | 3–6 | 33.33% |
| Trock1999 vs Panda | 0–4 | 0.00% |
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.