| iiKvngStrider vs Hwoarang | 15–9 | 62.50% |
| iiKvngStrider vs King | 10–12 | 45.45% |
| iiKvngStrider vs Yoshimitsu | 10–9 | 52.63% |
| iiKvngStrider vs Lili | 11–6 | 64.71% |
| iiKvngStrider vs Dragunov | 11–6 | 64.71% |
| iiKvngStrider vs Law | 9–7 | 56.25% |
| iiKvngStrider vs Eddy | 5–11 | 31.25% |
| iiKvngStrider vs Miary Zo | 7–9 | 43.75% |
| iiKvngStrider vs Jin | 10–5 | 66.67% |
| iiKvngStrider vs Reina | 10–4 | 71.43% |
| iiKvngStrider vs Azucena | 8–6 | 57.14% |
| iiKvngStrider vs Lars | 9–4 | 69.23% |
| iiKvngStrider vs Kazuya | 3–9 | 25.00% |
| iiKvngStrider vs Steve | 6–6 | 50.00% |
| iiKvngStrider vs Bryan | 8–3 | 72.73% |
| iiKvngStrider vs Asuka | 4–6 | 40.00% |
| iiKvngStrider vs Nina | 4–5 | 44.44% |
| iiKvngStrider vs Armor King | 6–3 | 66.67% |
| iiKvngStrider vs Xiaoyu | 7–1 | 87.50% |
| iiKvngStrider vs Leroy | 5–3 | 62.50% |
| iiKvngStrider vs Jun | 6–2 | 75.00% |
| iiKvngStrider vs Heihachi | 2–6 | 25.00% |
| iiKvngStrider vs Clive | 5–3 | 62.50% |
| iiKvngStrider vs Victor | 3–4 | 42.86% |
| iiKvngStrider vs Paul | 1–5 | 16.67% |
| iiKvngStrider vs Lee | 5–1 | 83.33% |
| iiKvngStrider vs Raven | 2–3 | 40.00% |
| iiKvngStrider vs Kuma | 2–2 | 50.00% |
| iiKvngStrider vs Anna | 4–0 | 100.00% |
| iiKvngStrider vs Fahkumram | 3–1 | 75.00% |
| iiKvngStrider vs Jack-8 | 3–0 | 100.00% |
| iiKvngStrider vs Devil Jin | 1–2 | 33.33% |
| iiKvngStrider vs Leo | 1–2 | 33.33% |
| iiKvngStrider vs Claudio | 2–1 | 66.67% |
| iiKvngStrider vs Alisa | 1–1 | 50.00% |
| iiKvngStrider vs Panda | 0–2 | 0.00% |
| iiKvngStrider vs Lidia | 0–2 | 0.00% |
| iiKvngStrider vs Feng | 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.