| Teklos vs Kazuya | 297–316 | 48.45% |
| Teklos vs King | 319–258 | 55.29% |
| Teklos vs Bryan | 256–274 | 48.30% |
| Teklos vs Reina | 245–236 | 50.94% |
| Teklos vs Jin | 192–244 | 44.04% |
| Teklos vs Steve | 219–179 | 55.03% |
| Teklos vs Hwoarang | 193–191 | 50.26% |
| Teklos vs Law | 167–158 | 51.38% |
| Teklos vs Yoshimitsu | 159–162 | 49.53% |
| Teklos vs Lee | 152–164 | 48.10% |
| Teklos vs Dragunov | 133–167 | 44.33% |
| Teklos vs Paul | 141–136 | 50.90% |
| Teklos vs Azucena | 146–128 | 53.28% |
| Teklos vs Heihachi | 132–137 | 49.07% |
| Teklos vs Lili | 124–136 | 47.69% |
| Teklos vs Lars | 132–102 | 56.41% |
| Teklos vs Jun | 107–116 | 47.98% |
| Teklos vs Lidia | 108–110 | 49.54% |
| Teklos vs Xiaoyu | 90–125–1 | 41.86% |
| Teklos vs Devil Jin | 107–104 | 50.71% |
| Teklos vs Asuka | 103–107 | 49.05% |
| Teklos vs Victor | 97–81–1 | 54.49% |
| Teklos vs Leo | 77–99 | 43.75% |
| Teklos vs Feng | 87–86 | 50.29% |
| Teklos vs Raven | 96–77 | 55.49% |
| Teklos vs Eddy | 90–82 | 52.33% |
| Teklos vs Fahkumram | 81–89 | 47.65% |
| Teklos vs Nina | 80–83 | 49.08% |
| Teklos vs Clive | 75–76 | 49.67% |
| Teklos vs Armor King | 52–82 | 38.81% |
| Teklos vs Alisa | 54–70 | 43.55% |
| Teklos vs Jack-8 | 59–63 | 48.36% |
| Teklos vs Leroy | 58–60 | 49.15% |
| Teklos vs Kuma | 61–48 | 55.96% |
| Teklos vs Claudio | 49–44 | 52.69% |
| Teklos vs Anna | 43–50 | 46.24% |
| Teklos vs Shaheen | 38–45 | 45.78% |
| Teklos vs Zafina | 36–31 | 53.73% |
| Teklos vs Panda | 16–16 | 50.00% |
| Teklos vs Miary Zo | 17–13 | 56.67% |
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.