| thomashazl vs Hwoarang | 44–17 | 72.13% |
| thomashazl vs Kazuya | 38–23 | 62.30% |
| thomashazl vs Armor King | 41–17 | 70.69% |
| thomashazl vs Bryan | 36–19 | 65.45% |
| thomashazl vs Steve | 34–21 | 61.82% |
| thomashazl vs Law | 33–19 | 63.46% |
| thomashazl vs Jin | 39–13 | 75.00% |
| thomashazl vs Lee | 37–15 | 71.15% |
| thomashazl vs Jun | 31–13 | 70.45% |
| thomashazl vs Yoshimitsu | 26–17 | 60.47% |
| thomashazl vs Asuka | 31–11 | 73.81% |
| thomashazl vs Dragunov | 31–11 | 73.81% |
| thomashazl vs Eddy | 32–10 | 76.19% |
| thomashazl vs King | 27–11 | 71.05% |
| thomashazl vs Paul | 19–17 | 52.78% |
| thomashazl vs Lili | 30–6 | 83.33% |
| thomashazl vs Victor | 26–9 | 74.29% |
| thomashazl vs Xiaoyu | 23–11 | 67.65% |
| thomashazl vs Lars | 21–13 | 61.76% |
| thomashazl vs Reina | 20–13 | 60.61% |
| thomashazl vs Azucena | 24–9 | 72.73% |
| thomashazl vs Lidia | 20–5 | 80.00% |
| thomashazl vs Feng | 17–6 | 73.91% |
| thomashazl vs Jack-8 | 16–5 | 76.19% |
| thomashazl vs Devil Jin | 14–7 | 66.67% |
| thomashazl vs Leroy | 10–11 | 47.62% |
| thomashazl vs Raven | 10–10 | 50.00% |
| thomashazl vs Leo | 14–5 | 73.68% |
| thomashazl vs Alisa | 16–2 | 88.89% |
| thomashazl vs Nina | 13–5 | 72.22% |
| thomashazl vs Heihachi | 13–5 | 72.22% |
| thomashazl vs Zafina | 8–8 | 50.00% |
| thomashazl vs Fahkumram | 9–5 | 64.29% |
| thomashazl vs Kuma | 8–5 | 61.54% |
| thomashazl vs Clive | 6–6 | 50.00% |
| thomashazl vs Shaheen | 5–6 | 45.45% |
| thomashazl vs Claudio | 6–2 | 75.00% |
| thomashazl vs Panda | 5–1 | 83.33% |
| thomashazl vs Miary Zo | 3–2 | 60.00% |
| thomashazl vs Anna | 2–2 | 50.00% |
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.