Name history
| T4rnished | |
| Harkonnen | |
| !!!! | |
| AngeBlondLaMort | |
| Pain | |
| FinallyCanBuyT8 | |
| Seijin | |
| T7Player |
| T4rnished vs Clive | 34–23 | 59.65% |
| T4rnished vs Dragunov | 46–4 | 92.00% |
| T4rnished vs Jin | 41–8 | 83.67% |
| T4rnished vs Kazuya | 40–5 | 88.89% |
| T4rnished vs King | 33–7 | 82.50% |
| T4rnished vs Hwoarang | 30–6 | 83.33% |
| T4rnished vs Steve | 30–6 | 83.33% |
| T4rnished vs Law | 22–12 | 64.71% |
| T4rnished vs Victor | 26–3 | 89.66% |
| T4rnished vs Yoshimitsu | 18–7 | 72.00% |
| T4rnished vs Bryan | 23–2 | 92.00% |
| T4rnished vs Reina | 24–0 | 100.00% |
| T4rnished vs Nina | 21–1 | 95.45% |
| T4rnished vs Lidia | 18–3 | 85.71% |
| T4rnished vs Lili | 17–3 | 85.00% |
| T4rnished vs Heihachi | 14–3 | 82.35% |
| T4rnished vs Azucena | 15–1 | 93.75% |
| T4rnished vs Fahkumram | 12–4 | 75.00% |
| T4rnished vs Claudio | 9–6 | 60.00% |
| T4rnished vs Leo | 13–1 | 92.86% |
| T4rnished vs Xiaoyu | 9–4 | 69.23% |
| T4rnished vs Devil Jin | 12–1 | 92.31% |
| T4rnished vs Jack-8 | 7–5 | 58.33% |
| T4rnished vs Eddy | 12–0 | 100.00% |
| T4rnished vs Feng | 9–2 | 81.82% |
| T4rnished vs Lars | 7–4 | 63.64% |
| T4rnished vs Paul | 5–4 | 55.56% |
| T4rnished vs Alisa | 5–4 | 55.56% |
| T4rnished vs Asuka | 7–1 | 87.50% |
| T4rnished vs Raven | 4–2 | 66.67% |
| T4rnished vs Anna | 3–3 | 50.00% |
| T4rnished vs Lee | 3–2 | 60.00% |
| T4rnished vs Jun | 4–0 | 100.00% |
| T4rnished vs Armor King | 4–0 | 100.00% |
| T4rnished vs Shaheen | 3–0 | 100.00% |
| T4rnished vs Kuma | 3–0 | 100.00% |
| T4rnished vs Panda | 2–0 | 100.00% |
| T4rnished vs Zafina | 2–0 | 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.