TTG TunesGoBoom vs Kazuya | 303–239 | 55.90% |
TTG TunesGoBoom vs Jin | 264–238 | 52.59% |
TTG TunesGoBoom vs Bryan | 200–235 | 45.98% |
TTG TunesGoBoom vs King | 205–204 | 50.12% |
TTG TunesGoBoom vs Reina | 195–185 | 51.32% |
TTG TunesGoBoom vs Hwoarang | 169–206 | 45.07% |
TTG TunesGoBoom vs Yoshimitsu | 163–171 | 48.80% |
TTG TunesGoBoom vs Heihachi | 163–169 | 49.10% |
TTG TunesGoBoom vs Law | 144–182 | 44.17% |
TTG TunesGoBoom vs Lee | 151–175 | 46.32% |
TTG TunesGoBoom vs Steve | 147–178 | 45.23% |
TTG TunesGoBoom vs Paul | 132–163 | 44.75% |
TTG TunesGoBoom vs Dragunov | 145–133 | 52.16% |
TTG TunesGoBoom vs Lars | 123–127 | 49.20% |
TTG TunesGoBoom vs Lili | 114–131 | 46.53% |
TTG TunesGoBoom vs Azucena | 107–117 | 47.77% |
TTG TunesGoBoom vs Asuka | 94–128 | 42.34% |
TTG TunesGoBoom vs Xiaoyu | 97–124 | 43.89% |
TTG TunesGoBoom vs Feng | 100–117 | 46.08% |
TTG TunesGoBoom vs Devil Jin | 91–121 | 42.92% |
TTG TunesGoBoom vs Jun | 108–99 | 52.17% |
TTG TunesGoBoom vs Nina | 77–116 | 39.90% |
TTG TunesGoBoom vs Victor | 81–108 | 42.86% |
TTG TunesGoBoom vs Eddy | 86–103 | 45.50% |
TTG TunesGoBoom vs Leo | 70–88 | 44.30% |
TTG TunesGoBoom vs Raven | 62–95 | 39.49% |
TTG TunesGoBoom vs Lidia | 78–78 | 50.00% |
TTG TunesGoBoom vs Leroy | 78–62 | 55.71% |
TTG TunesGoBoom vs Alisa | 56–80 | 41.18% |
TTG TunesGoBoom vs Jack-8 | 63–70 | 47.37% |
TTG TunesGoBoom vs Claudio | 63–66 | 48.84% |
TTG TunesGoBoom vs Clive | 49–80 | 37.98% |
TTG TunesGoBoom vs Zafina | 49–71 | 40.83% |
TTG TunesGoBoom vs Kuma | 50–68 | 42.37% |
TTG TunesGoBoom vs Shaheen | 40–36 | 52.63% |
TTG TunesGoBoom vs Panda | 22–22 | 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.