A couple questions
Are the #'s derived from Elliots observation on conditions?-
No. The historical weather data is the weather data recorded/maintained at airports. As such, it is not the exact weather conditions faced on the course, but as most local airports are no more than 25 miles from the course, it is a reasonable approximation. Of the data that is available, I take 5 readings per day ... 9am, 11am, 1pm, 3pm and 5pm and in the online database, the weather data is the averages of those five daily readings. As a result of these potential deviations from actual, real-time course weather conditions , the data is only searchable in ranges in the online database. The use of daily averages and the weather data being from the local airport probably account for the differences in your more precise data than mine.
What factors are used to tabulate
I presume that you are referring to the player profiles rather than the weather database queries, but let me know if not. An information button will be put next to each category when it is complete, but here are the explanations ...
At best in hot conditions: player's average score* in last five seasons when daily average temperature is greater than 80?F vs. player's average score* in all events in last five seasons
Very good player in wet weather: player's average score* in last five seasons when rain is reported in at least three of the five daily observations (see above) vs. player's average score* in all events in last five seasons
Excellent wind player: player's average score* in last five seasons when daily average wind speed is greater than 15mph vs. player's average score* in all events in last five seasons
*"average score" is the average 'adjusted' score, not actual score (see below)
How do several of players have better scoring ave in wind than in all tourneys?
The calculations are based average of my "adjusted scores", not actual scores. So if field quality (measured using Sagarin index) is 72, the average score by all players is 74 and player A shoots 68, his "adjusted score" is 72 - 74 + 68 = 66.
This way, his actual score of 68 is more impressive if weather conditions are poor (the average score by all players will be high) and field quality is high (lower Sagarin index). This enables scores to be compared across different days (i.e. different weather conditions) and different events/Tours (i.e different field quality).