What is the percentage of total orders of Stephen Payne that had a net profit of over 1000?
Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;
SELECT CAST(SUM(CASE WHEN REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') > 1000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'Stephen Payne'
database name:db_id regional_sales
Customers table Customers Cols: customer id dtype integer, customer names dtype text, 
Products table Products Cols: product id dtype integer, product name dtype text, 
Regions table Regions Cols: state code dtype text, State dtype text, Region dtype text, 
Sales Team table Sales Team Cols: SalesTeam ID dtype integer, Sales Team dtype text, Region dtype text, 
Store Locations table Store Locations Cols: Store ID dtype integer, City Name dtype text, County dtype text, State Code dtype text, State dtype text, Type dtype text, Latitude dtype real, Longitude dtype real, Area Code dtype integer, Population dtype integer, Household Income dtype integer, Median Income dtype integer, Land Area dtype integer, Water Area dtype integer, Time Zone dtype text, 
Sales Orders table Sales Orders Cols: Order Number dtype text, Sales Channel dtype text, Warehouse Code dtype text, Procured Date dtype text, Order Date dtype text, Ship Date dtype text, Delivery Date dtype text, Currency Code dtype text, _Sales Team ID dtype integer, _Customer ID dtype integer, _Store ID dtype integer, _Product ID dtype integer, Order Quantity dtype integer, Discount Applied dtype real, Unit Price dtype text, Unit Cost dtype text, 
