| Tagmata vs Jin | 240–111 | 68.38% |
| Tagmata vs Kazuya | 196–152 | 56.32% |
| Tagmata vs Dragunov | 142–130 | 52.21% |
| Tagmata vs Bryan | 138–131 | 51.30% |
| Tagmata vs Hwoarang | 123–135–1 | 47.67% |
| Tagmata vs King | 149–106 | 58.43% |
| Tagmata vs Steve | 129–115 | 52.87% |
| Tagmata vs Reina | 123–93 | 56.94% |
| Tagmata vs Lee | 105–110 | 48.84% |
| Tagmata vs Devil Jin | 110–95 | 53.66% |
| Tagmata vs Heihachi | 114–86 | 57.00% |
| Tagmata vs Paul | 118–78 | 60.20% |
| Tagmata vs Yoshimitsu | 116–79 | 59.49% |
| Tagmata vs Law | 127–59 | 68.28% |
| Tagmata vs Xiaoyu | 89–85 | 51.15% |
| Tagmata vs Eddy | 87–72 | 54.72% |
| Tagmata vs Lili | 73–82 | 47.10% |
| Tagmata vs Feng | 84–68 | 55.26% |
| Tagmata vs Lars | 74–77 | 49.01% |
| Tagmata vs Asuka | 71–70 | 50.35% |
| Tagmata vs Jun | 62–73 | 45.93% |
| Tagmata vs Jack-8 | 66–67 | 49.62% |
| Tagmata vs Claudio | 82–51 | 61.65% |
| Tagmata vs Leo | 72–60 | 54.55% |
| Tagmata vs Nina | 57–71 | 44.53% |
| Tagmata vs Azucena | 86–38 | 69.35% |
| Tagmata vs Victor | 46–64 | 41.82% |
| Tagmata vs Shaheen | 45–61 | 42.45% |
| Tagmata vs Raven | 54–52 | 50.94% |
| Tagmata vs Zafina | 54–50 | 51.92% |
| Tagmata vs Alisa | 50–44 | 53.19% |
| Tagmata vs Leroy | 42–41 | 50.60% |
| Tagmata vs Armor King | 44–35 | 55.70% |
| Tagmata vs Kuma | 40–36 | 52.63% |
| Tagmata vs Lidia | 29–29 | 50.00% |
| Tagmata vs Fahkumram | 27–21 | 56.25% |
| Tagmata vs Clive | 23–16 | 58.97% |
| Tagmata vs Anna | 10–9 | 52.63% |
| Tagmata vs Panda | 8–5 | 61.54% |
| Tagmata vs Miary Zo | 8–5 | 61.54% |
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.