Tigra_Spartan vs Hwoarang | 16–9 | 64.00% |
Tigra_Spartan vs Jin | 14–5 | 73.68% |
Tigra_Spartan vs Reina | 14–2 | 87.50% |
Tigra_Spartan vs Paul | 12–3 | 80.00% |
Tigra_Spartan vs Lee | 7–6 | 53.85% |
Tigra_Spartan vs Alisa | 7–5 | 58.33% |
Tigra_Spartan vs King | 10–1 | 90.91% |
Tigra_Spartan vs Bryan | 7–4 | 63.64% |
Tigra_Spartan vs Asuka | 5–6 | 45.45% |
Tigra_Spartan vs Dragunov | 4–6 | 40.00% |
Tigra_Spartan vs Jun | 8–2 | 80.00% |
Tigra_Spartan vs Xiaoyu | 7–2 | 77.78% |
Tigra_Spartan vs Devil Jin | 5–4 | 55.56% |
Tigra_Spartan vs Law | 5–3 | 62.50% |
Tigra_Spartan vs Yoshimitsu | 8–0 | 100.00% |
Tigra_Spartan vs Kazuya | 4–4 | 50.00% |
Tigra_Spartan vs Steve | 6–2 | 75.00% |
Tigra_Spartan vs Jack-8 | 4–4 | 50.00% |
Tigra_Spartan vs Lili | 8–0 | 100.00% |
Tigra_Spartan vs Claudio | 3–5 | 37.50% |
Tigra_Spartan vs Eddy | 7–1 | 87.50% |
Tigra_Spartan vs Nina | 4–2 | 66.67% |
Tigra_Spartan vs Azucena | 3–2 | 60.00% |
Tigra_Spartan vs Zafina | 3–1 | 75.00% |
Tigra_Spartan vs Shaheen | 2–1 | 66.67% |
Tigra_Spartan vs Kuma | 3–0 | 100.00% |
Tigra_Spartan vs Victor | 1–2 | 33.33% |
Tigra_Spartan vs Lars | 0–2 | 0.00% |
Tigra_Spartan vs Raven | 2–0 | 100.00% |
Tigra_Spartan vs Panda | 1–0 | 100.00% |
Tigra_Spartan vs Leroy | 1–0 | 100.00% |
Tigra_Spartan vs Lidia | 0–1 | 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.