RKS scale not dramatically increasing predictive accuracy

If moving to the Ross K. Smith 100-point scale increases the accuracy of speaker points, and if speaker points accurately reflect a team's abilities, we might expect that the scale change would help speaker points predict future winners. To my surprise, there is not a dramatic increase in the predictive accuracy of speaker points in the three large tournaments that moved to the new scale while maintaining the same number of teams and preliminary rounds.

I used the following model: Predictions are made for rounds five and later, using at least the first four preliminary rounds. The model makes no prediction if the two teams have different win-loss records. If they have the same win-loss record and the same total points, the model also does not make a prediction. Otherwise, it predicts that whichever team had the higher points for the predicting rounds will win the debate.

If two teams have the same record for rounds one through four, but they don't meet until round eight, the model still predicts the winner based on their points in rounds one through four, since the teams might well have debated in round five. It also makes predictions based on their points in rounds one through five, one through six, and one through seven, assuming their win-loss records are the same after rounds five, six, and seven. All predictions are based on rounds one through four, five, six, or seven; no predictions ever discard any early prelims.

Wake Forest, 8 prelims

Year	Teams	Tied points, no prediction	Correct prediction	Incorrect prediction	Accuracy
2006-2007	138	11	89	50	63.0%
2007-2008	134	1	101	79	56.1%

UNLV open division, 7 prelims

Year	Teams	Tied points, no prediction	Correct prediction	Incorrect prediction	Accuracy
2008-2009	56	0	32	23	58.2%
2009-2010	54	0	20	11	64.5%

Harvard, 8 prelims

Year	Teams	Tied points, no prediction	Correct prediction	Incorrect prediction	Accuracy
2008-2009	80	9	57	27	66.1%
2009-2010	87	4	68	33	66.7%