Una medida estadística de qué tan dispersos están los resultados respecto al promedio.
La desviación estándar cuantifica la cantidad de variación en los resultados de juego. En términos prácticos, le dice cuánto es probable que sus resultados reales difieran del valor esperado.
Para una serie de apuestas, aproximadamente el 68% de los resultados caerán dentro de una desviación estándar del valor esperado, y alrededor del 95% dentro de dos desviaciones estándar. Cuanto mayor sea la desviación estándar, más amplio el rango de resultados probables.
Este concepto es esencial para entender si sus resultados reflejan habilidad o suerte. Si sus resultados reales caen dentro del rango esperado de varianza, no se puede concluir mucho. Solo cuando los resultados caen consistentemente fuera del rango esperado puede identificar una ventaja real — o un problema real con su estrategia.
You bet $100 flat on NFL spreads at −110 with a true 53% win rate. Expected profit per bet = +$1.43, but standard deviation per bet is roughly $99.72. Across 256 bets (one full season of ~16 bets/week), expected profit = $366, with 1-sigma range of ±$1,595.
That means a legitimately winning bettor has roughly a 32% chance of finishing the season in the red even though their edge is real. Two sigma (95% confidence) requires you to survive possible seasonal outcomes from −$2,824 to +$3,556. Sharps accept this reality and size plays accordingly — standard deviation, not win rate, dictates how much you can stake per play without risk of ruin.
<p>You bet <strong>$100 flat on NFL spreads at −110</strong> with a true 53% win rate. Expected profit per bet = <strong>+$1.43</strong>, but standard deviation per bet is roughly <strong>$99.72</strong>. Across 256 bets (one full season of ~16 bets/week), expected profit = $366, with <strong>1-sigma range of ±$1,595</strong>.</p><p>That means a legitimately winning bettor has roughly a <strong>32% chance of finishing the season in the red</strong> even though their edge is real. Two sigma (95% confidence) requires you to survive possible seasonal outcomes from <strong>−$2,824 to +$3,556</strong>. Sharps accept this reality and size plays accordingly — standard deviation, not win rate, dictates how much you can stake per play without risk of ruin.</p>
Una medida estadística de qué tan dispersos están los resultados respecto al promedio.
<p>You bet <strong>$100 flat on NFL spreads at −110</strong> with a true 53% win rate. Expected profit per bet = <strong>+$1.43</strong>, but standard deviation per bet is roughly <strong>$99.72</strong>. Across 256 bets (one full season of ~16 bets/week), expected profit = $366, with <strong>1-sigma range of ±$1,595</strong>.</p><p>That means a legitimately winning bettor has roughly a <strong>32% chance of finishing the season in the red</strong> even though their edge is real. Two sigma (95% confidence) requires you to survive possible seasonal outcomes from <strong>−$2,824 to +$3,556</strong>. Sharps accept this reality and size plays accordingly — standard deviation, not win rate, dictates how much you can stake per play without risk of ruin.</p>
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