For updated data please see my Half-Point Calculator.
<style> .ganch { font-size: 11px; font-family: Verdana, Arial, Helvetica, sans-serif; }</style> <table border=0 cellpadding=2 cellspacing=1> <tr> <td align=left class=ganch> Total </td> <td align=left class=ganch> N </td> <td align=left class=ganch> Std. Err. </td> <td align=left class=ganch> Freq.
</td> </tr> <tr> <td align=left class=ganch> 5 </td> <td align=right class=ganch> 789 </td> <td align=right class=ganch> 1.556% </td> <td align=right class=ganch> 25.602%
</td> </tr> <tr> <td align=left class=ganch> 6 </td> <td align=right class=ganch> 2,296 </td> <td align=right class=ganch> 0.630% </td> <td align=right class=ganch> 10.148%
</td> </tr> <tr> <td align=left class=ganch> 7 </td> <td align=right class=ganch> 847 </td> <td align=right class=ganch> 1.424% </td> <td align=right class=ganch> 21.960%
</td> </tr> </table>
<hr><span style="font-size: 11px;">Methodology:</span>
<style> .ganch { font-size: 11px; font-family: Verdana, Arial, Helvetica, sans-serif; }</style> <table border=0 cellpadding=2 cellspacing=1> <tr> <td align=left class=ganch> Total </td> <td align=left class=ganch> N </td> <td align=left class=ganch> Std. Err. </td> <td align=left class=ganch> Freq.
</td> </tr> <tr> <td align=left class=ganch> 5 </td> <td align=right class=ganch> 789 </td> <td align=right class=ganch> 1.556% </td> <td align=right class=ganch> 25.602%
</td> </tr> <tr> <td align=left class=ganch> 6 </td> <td align=right class=ganch> 2,296 </td> <td align=right class=ganch> 0.630% </td> <td align=right class=ganch> 10.148%
</td> </tr> <tr> <td align=left class=ganch> 7 </td> <td align=right class=ganch> 847 </td> <td align=right class=ganch> 1.424% </td> <td align=right class=ganch> 21.960%
</td> </tr> </table>
<hr><span style="font-size: 11px;">Methodology:</span>
- <span style="font-size: 11px;">All NHL regular season final scores and closing over/unders (from covers.com/) from the 2005/06 season through October 23<sup>rd</sup> of the 2007/8 season were analyzed (2,584 games in total) for the push frequencies of various totals.</span>
- <span style="font-size: 11px;">The push frequency for a given over/under was determined by the percentage of games with a closing over/under within 0.5 points of the over/under in question ending with a total equal to that over/under. For example, the push frequency of an over/under of 6 was determined from all games with a closing over/under between 5.5 and 6.5.</span>
- <span style="font-size: 11px;">This is based on Stanford Wong's methodology as described in Sharp Sports Betting.</span>