| KTP|LaplaceArc vs Kazuya | 10–17 | 37.04% |
| KTP|LaplaceArc vs Steve | 18–9 | 66.67% |
| KTP|LaplaceArc vs Jin | 8–17 | 32.00% |
| KTP|LaplaceArc vs Dragunov | 14–11 | 56.00% |
| KTP|LaplaceArc vs Bryan | 5–11 | 31.25% |
| KTP|LaplaceArc vs Devil Jin | 11–4 | 73.33% |
| KTP|LaplaceArc vs Lars | 8–7 | 53.33% |
| KTP|LaplaceArc vs Heihachi | 11–4 | 73.33% |
| KTP|LaplaceArc vs King | 9–5 | 64.29% |
| KTP|LaplaceArc vs Reina | 8–6 | 57.14% |
| KTP|LaplaceArc vs Lili | 6–5 | 54.55% |
| KTP|LaplaceArc vs Law | 5–5 | 50.00% |
| KTP|LaplaceArc vs Lidia | 5–5 | 50.00% |
| KTP|LaplaceArc vs Yoshimitsu | 4–5 | 44.44% |
| KTP|LaplaceArc vs Jun | 2–7 | 22.22% |
| KTP|LaplaceArc vs Lee | 4–4 | 50.00% |
| KTP|LaplaceArc vs Fahkumram | 3–4 | 42.86% |
| KTP|LaplaceArc vs Hwoarang | 6–0 | 100.00% |
| KTP|LaplaceArc vs Feng | 1–5 | 16.67% |
| KTP|LaplaceArc vs Panda | 4–2 | 66.67% |
| KTP|LaplaceArc vs Clive | 1–5 | 16.67% |
| KTP|LaplaceArc vs Nina | 2–3 | 40.00% |
| KTP|LaplaceArc vs Xiaoyu | 1–3 | 25.00% |
| KTP|LaplaceArc vs Asuka | 4–0 | 100.00% |
| KTP|LaplaceArc vs Kuma | 2–2 | 50.00% |
| KTP|LaplaceArc vs Eddy | 3–1 | 75.00% |
| KTP|LaplaceArc vs Victor | 1–2 | 33.33% |
| KTP|LaplaceArc vs Jack-8 | 2–0 | 100.00% |
| KTP|LaplaceArc vs Leo | 2–0 | 100.00% |
| KTP|LaplaceArc vs Alisa | 2–0 | 100.00% |
| KTP|LaplaceArc vs Claudio | 2–0 | 100.00% |
| KTP|LaplaceArc vs Shaheen | 0–2 | 0.00% |
| KTP|LaplaceArc vs Leroy | 2–0 | 100.00% |
| KTP|LaplaceArc vs Anna | 0–2 | 0.00% |
| KTP|LaplaceArc vs Paul | 1–0 | 100.00% |
| KTP|LaplaceArc vs Azucena | 1–0 | 100.00% |
| KTP|LaplaceArc vs Raven | 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.