| Tekkeneer vs Jin | 18–53 | 25.35% |
| Tekkeneer vs King | 16–52 | 23.53% |
| Tekkeneer vs Kazuya | 14–46 | 23.33% |
| Tekkeneer vs Nina | 10–36 | 21.74% |
| Tekkeneer vs Steve | 8–35 | 18.60% |
| Tekkeneer vs Law | 6–36 | 14.29% |
| Tekkeneer vs Bryan | 15–23 | 39.47% |
| Tekkeneer vs Armor King | 6–26 | 18.75% |
| Tekkeneer vs Heihachi | 6–22 | 21.43% |
| Tekkeneer vs Reina | 9–18 | 33.33% |
| Tekkeneer vs Dragunov | 10–15 | 40.00% |
| Tekkeneer vs Lars | 8–17 | 32.00% |
| Tekkeneer vs Victor | 6–17 | 26.09% |
| Tekkeneer vs Hwoarang | 11–11 | 50.00% |
| Tekkeneer vs Lili | 6–12 | 33.33% |
| Tekkeneer vs Yoshimitsu | 3–14 | 17.65% |
| Tekkeneer vs Paul | 0–16 | 0.00% |
| Tekkeneer vs Devil Jin | 6–9 | 40.00% |
| Tekkeneer vs Alisa | 3–12 | 20.00% |
| Tekkeneer vs Lee | 6–9 | 40.00% |
| Tekkeneer vs Eddy | 2–12 | 14.29% |
| Tekkeneer vs Xiaoyu | 6–7 | 46.15% |
| Tekkeneer vs Asuka | 4–9 | 30.77% |
| Tekkeneer vs Clive | 4–7 | 36.36% |
| Tekkeneer vs Miary Zo | 1–10 | 9.09% |
| Tekkeneer vs Leroy | 3–7 | 30.00% |
| Tekkeneer vs Claudio | 0–9 | 0.00% |
| Tekkeneer vs Feng | 1–7 | 12.50% |
| Tekkeneer vs Jun | 5–3 | 62.50% |
| Tekkeneer vs Anna | 1–7 | 12.50% |
| Tekkeneer vs Lidia | 2–5 | 28.57% |
| Tekkeneer vs Shaheen | 2–4 | 33.33% |
| Tekkeneer vs Zafina | 2–4 | 33.33% |
| Tekkeneer vs Azucena | 1–5 | 16.67% |
| Tekkeneer vs Fahkumram | 1–5 | 16.67% |
| Tekkeneer vs Leo | 0–4 | 0.00% |
| Tekkeneer vs Kuma | 0–4 | 0.00% |
| Tekkeneer vs Panda | 0–4 | 0.00% |
| Tekkeneer vs Jack-8 | 0–3 | 0.00% |
| Tekkeneer vs Raven | 0–2 | 0.00% |
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.