| Tiler vs Reina | 39–21 | 65.00% |
| Tiler vs King | 21–19 | 52.50% |
| Tiler vs Law | 20–16 | 55.56% |
| Tiler vs Kazuya | 17–16 | 51.52% |
| Tiler vs Steve | 21–8 | 72.41% |
| Tiler vs Lili | 12–17 | 41.38% |
| Tiler vs Eddy | 8–13 | 38.10% |
| Tiler vs Yoshimitsu | 12–8 | 60.00% |
| Tiler vs Bryan | 10–10 | 50.00% |
| Tiler vs Nina | 14–5 | 73.68% |
| Tiler vs Paul | 12–6 | 66.67% |
| Tiler vs Jin | 9–8 | 52.94% |
| Tiler vs Dragunov | 10–7 | 58.82% |
| Tiler vs Lee | 8–8 | 50.00% |
| Tiler vs Azucena | 10–6 | 62.50% |
| Tiler vs Hwoarang | 12–3 | 80.00% |
| Tiler vs Jun | 10–3 | 76.92% |
| Tiler vs Victor | 8–5 | 61.54% |
| Tiler vs Heihachi | 9–4 | 69.23% |
| Tiler vs Alisa | 5–6 | 45.45% |
| Tiler vs Asuka | 5–5 | 50.00% |
| Tiler vs Lars | 3–6 | 33.33% |
| Tiler vs Panda | 3–6 | 33.33% |
| Tiler vs Raven | 9–0 | 100.00% |
| Tiler vs Clive | 6–3 | 66.67% |
| Tiler vs Leo | 4–3 | 57.14% |
| Tiler vs Shaheen | 5–2 | 71.43% |
| Tiler vs Kuma | 4–3 | 57.14% |
| Tiler vs Jack-8 | 3–3 | 50.00% |
| Tiler vs Lidia | 4–2 | 66.67% |
| Tiler vs Armor King | 2–4 | 33.33% |
| Tiler vs Claudio | 2–3 | 40.00% |
| Tiler vs Xiaoyu | 4–0 | 100.00% |
| Tiler vs Devil Jin | 4–0 | 100.00% |
| Tiler vs Fahkumram | 2–2 | 50.00% |
| Tiler vs Leroy | 1–2 | 33.33% |
| Tiler vs Feng | 2–0 | 100.00% |
| Tiler vs Anna | 0–2 | 0.00% |
| Tiler vs Miary Zo | 1–0 | 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.