Updated: Monday, Dec 15 01:23:30 AM EST

Queens University Royals vs Wake Forest Demon Deacons (Final)
73 - 111, (Margin: -38, Total: 184)
LJVM Coliseum


Second-Half conditional estimates based on a margin of -18.0 points and 96.0 total points (models are continuously adjusted up to Halftime)
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E[AWAY]	E[HOME]	E[SP]	    68% CI	  E[TOTAL]	    68% CI	 2H-A	 2H-H	2H-SP	2H-TTL	AWAY WIN%	HOME WIN%	(ODDS HOME)
======================================================================================================================================================
91.8	110.0	-18.1	(-28.2, -8.1)	    201.8	(189.6, 214.0)	 0.0	 0.0	-18.1	201.8	    6.6%	   93.4%	-1414
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Live conditional estimates per 5 Minutes (+/- 1 deviation) (models are continuously adjusted)
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  TYPE        5M	       10M	       15M	       20M	       25M	       30M	       35M	       40M
======================================================================================================================================================
 E[SP]         -	         -	         -	         -	         -	         -	         -	     -38.3
  P[W]         -	         -	         -	         -	         -	         -	         -	    100.0%
  ODDS         -	         -	         -	         -	         -	         -	         -	         -
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Ornstein-Uhlenbeck Process with BIC Model Selection**
TYPE		L95%	E[X]	U95%
E[F|1H]  	-41.5	-17.2	7.1
E[F|NOW]	-43.0	-37.9	-32.7

Deep Learning: Quantile GRU v6.0 (Neural Network with Calibrated Uncertainty)
TYPE		L95%	L68%	E[X]		U68%	U95%
E[F|1H]  	-21.8	-19.1	-18.1		-17.0	-15.2
E[F|NOW]	-44.8	-39.4	-37.4		-35.1	-31.5

Enhanced Ornstein-Uhlenbeck Process (BIC-optimized AR order, continuous-time Kalman filtering)



MODEL NOTES:
** O-U Process validated on 61,166 games (MAE: 8.50 pts, well-calibrated 68%/95% confidence intervals)
** GRU v6.0 validated on Fall 2025 (MAE: 10.99 pts, 5.2% better than previous LSTM)

CHART LEGEND:
1) Blue line: O-U Improved model trained on first-half data, locked at halftime (68% and 95% CI shown)
2) Green line: O-U Improved model continuously retrained as new plays arrive (68% CI shown)
3) Both lines use the same statistical model; divergence shows how live events update predictions
4) Model automatically selects AR(1) or AR(2) using BIC for optimal fit to irregular scoring events

Updated: Monday, Dec 15 01:23:30 AM EST
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