Evaluation of	Kevin Durant		prepared by Joe Duffel
	Kevin Durant								Calculated Draft Value			Lowest Draft Value
									1		or	1
	Texas			94.2%		2007			1			1
				Degree of NBA Accuracy
	Player Report Card			1	NBA STATS
	Evaluation Grades	Pct of Accuracy		Predicted Stats	2007	Min/Adj		ACTUAL STATS	2009-10		Degree of Accuracy Combined - NBA
	Nba Stats	97%		MP	39.5	1.000		MP	39.5		NBA OFFENSE
				Pts Scored	30.61	30.61		Pts Scored	30.10		97.0%
	Nba Stats - Detailed	92%
				Rebounds	7.70	7.70		Rebounds	7.60		NBA DEFENSE
	Capology Report	99%									86.8%
				Assist	2.92	2.92		Assist	2.80
	Predicting where Shots will occur on court	92%									Minutes in System
				Blocks	1.20	1.20		Blocks	1.00		98.9%
	Raw Evaluation	97%									FG% Prediction vs. Actual
				Steals	1.79	1.79		Steals	1.40		97.4%
	Summer League Stats	93%
										Best Case
	D-League	0%		Turnovers	3.47	3.47		Turnovers	3.30	1
					47.70	47.70			46.20	0.00
	Predicted Shots are Forecasted from players final collegiate season vs. Actual stats from players contract option 3rd year
	The first column is an Evaluation Report card and it compares every stat and money a player is forecasted to make vs. his actual stats earned.
	The next column is Forecasted stats done 3-4 years ahead of players actual FA option season. This program can also show what  a players best statistical output could be if traded onto another team. This gives a front office an entire new power to understand the player they are scouting and what he can be in the future to great certainty. At this point and time this information is done by scouts that collaborate with others to form opinions and many times the owners and GMs have no "real understanding to why" . This program will bridge the gap and conceivably make any average front office person or owner many times more powerful in their understanding of the player they have.
	The most important area on this page for any person that believes even after watching the demo is the Raw Evaluation, because the percentage and accuracy of that number dictates no outside influence whatsoever. Many times there are indicators built into the program that says this player may fault in one area or the other and most time we error on the side of caution, unless that player played in particular situation at the collegiate level this program has indicated there may be room for player improvement. On the times this comes up and the player meets criteria for improvement the program is given the ability to allow that player to display his potential.
	This program is no doubt one of the most powerful programs in the NBA today. It proves that Basketball Science has reached a level that was expected many years ago. The adaptation and implementation will allow Ownership and GMs to have Analytics to Scientifically forecast a players value and statistical output into the future. It will also allow them to understand where a players natural fit on the court is before they draft him. Last but not least it allows a team to understand the draft value of a player and if that player has the ability to play in the final 2 minutes of a game for a 55+ win team.
	2			General Manager Evaluation and Contract Forecasting
	Contract Forecast				Actual Contract				GMs have a great responsibility in understanding a players current and future value. When you understand a players value years before he reaches contract many angles of how to utilize that player can be brought to the table.				98.9%
	Contract Forecast	Building a Perrenial Winner		Agent Seeking or value for non-playoff team	yr/Adj		ACTUAL CONTRACT
	Contract Per Year	18.0		18.0	17.8		Contract Per Year
	Contract Term	5		5	5		Contract Term
	Total	90.0		90.0	89.0		Total
	The value of this players contract should always be in conjunction to the team building a 55+ win perrenial powerhouse. The overvalued players continue strap mid-market teams.					1		The DNA footprint shows this players value on a 55+ win team as
	3	Predicting - The amount of shots and where they will occur									Accuracy		92.4%
	Predicted Shot Location			Predicted Pct		Accuracy		Actual Pct			Actual Nba Stats
	From College Year	2007		From College Year	2007	minus	+	2009-10	NBA Yr		NBA Year		2009-10
	ISO -FT	8.7		ISO -FT	28.5%	0.93	0.00	30.6%	ISO -FT		ISO -FT		9.2
	Rim - 7'	4.3		Rim - 7'	14.0%	0.00	0.77	10.9%	Rim - 7'		Rim - 7'		3.3
	8' - 15'	4.7		8' - 15'	15.3%	0.79	0.00	19.4%	8' - 15'		8' - 15'		5.8
	16' - 22'	4.0		16' - 22'	13.2%	0.00	0.93	16.1%	16' - 22'		16' - 22'		4.9
	23' +	5.2		23' +	17.1%			15.9%	23' +		23' +		4.8
	Hustle Pts	3.6		Hustle Pts	11.9%			7.1%	Hustle Pts		Hustle Pts		2.1
	Total	30.6		Total	99.2%	1.7	1.7	100.0%	Total		Total		30.1
	One of the most powerful tools a front office can have is the understanding of what is the players natural shooting tendencies. This would allow teams to play those players in spots to achieve their highest rate of accuracy and play to their maximum abilities. It is very important to study the efficiency of each player no matter what the amount of points scored may show. These stats are forecasted from players collegiate years forward to contract season.
	A. Comparing the Predicted Shot location to the Actual pct was				99.2%	correct with the actual outcome.             The difference in volume of shots						-1.7%
	B. Many times the accuracy of the shot location is predicated on the predicted field goal pct of							48.9%	Versus the actual FG pct of				47.6%
	So the total accuracy of A. would be divided between prediction and actual outcome						92.4%	The Predicted FG pct vs. Actual FG pct was					97.4%
	Beta Projection	Paint		Outside		3pt		Notes
	The following is a predicted forecast of Paint Outside and 3 pt "pts made" a player will take in his 3rd/4th season of NBA	49.7%		33.2%		17.1%		The reasoning for the comparable chart is to show where a players natural habit and tendacies would place him on the court in conjunction to his position. (this has been crossed with the Range, Volume, Position,Injury, Win, and Matchup formulas to create this ideal formula for a player to play at his designated position. At this point you can begin to look at all the shot placements categories and get an idea of how engaged the player is or should be during the course of a game.
		Compare to Actual
	Accuracy	Paint		Outside		3pt
	95.7%	45.2%		38.8%		15.9%
		2009-10
	4			Summer League vs. Forecasted Summer League Totals
	Summer League Notes			Predicted Stats		Min/Adj		Actual Summer Stats	0			Accuracy
	Summer League Stats were not accurately done especially in the assist department. It has however, improved a lot over the last couple years. The Summer league gives you an early idea of the type of player drafted, but it really works well when rookies are matched up against 2nd - 3rd year players.			Min Played	36.1	1.00		Min Played	36.1			92.5%
				Pts Scored	29.3	31.6		Pts Scored	29.3
				Rebounds	7.8	8.5		Rebounds	7.8
				Assist	2.0	2.2		Assist	2.0
				Blocks	1.7	1.8		Blocks	1.70
				Steals	1.7	1.8		Steals	1.69
				Turnovers	2.9	3.1		Turnovers	4
					9.0	49.02		9.4	46.47
	5			Forecasted D-League Totals