Updated: Tuesday, Feb 03 11:04:22 PM EST

Rutgers Scarlet Knights vs UCLA Bruins (7:50 - 2nd)
58 - 80, (Margin: -22, Total: 138)
Pauley Pavilion


Second-Half conditional estimates based on a margin of -12.0 points and 92.0 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)
======================================================================================================================================================
91.2	102.4	-11.2	(-21.3, -1.2)	    193.6	(181.4, 205.8)	 0.0	 0.0	-11.2	193.6	   17.3%	   82.7%	-477
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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]         -	         -	         -	         -	         -	         -	     -22.4	     -22.4
  P[W]         -	         -	         -	         -	         -	         -	     99.9%	    100.0%
  ODDS         -	         -	         -	         -	         -	         -	    -99999	         -
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Ornstein-Uhlenbeck Process with BIC Model Selection**
TYPE		L95%	E[X]	U95%
E[F|1H]  	-36.9	-11.4	14.2
E[F|NOW]	-39.8	-21.8	-3.9

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: Tuesday, Feb 03 11:04:22 PM EST
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