Over the 2019/20, what were the expected Media Dividends of the top MB and PB and priced #footballindex players, and which players got particularly lucky or unlucky?

I& #39;ve done some digging and written an article examining this further.

Summary (THREAD): https://link.medium.com/a6eZ32yln9 ">https://link.medium.com/a6eZ32yln...
Media Dividends accounted for a third of all dividends on offer - more than any other dividend stream.

Over the 19/20 season, the top 10 media players brought in 57% (£12.46) of all media dividends on offer.

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This is in contrast to the match day dividends brought in by the top PB players - £7.33 (18%)

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Using winning media scores, we calculate cumulative distribution functions (CDFs) that can be used to derive the probability of at least finishing 1st/2nd/3rd in the media ranking for a particular media score.

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The top 10 media players see their media dividends reduce when using & #39;expected& #39; methodology - mainly driven by Sancho and Pogba

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Alexis Sanchez is the unluckiest player, where the expected methodology increases his media dividends by 190%. Pogba is the & #39;luckiest& #39; player, where he frequently won media dividends with low media scores

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The top 10 priced players see their media dividends also reduce using the & #39;expected& #39; methodology - again, mainly driven by Sancho and Pogba

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CAVEAT: As we do not split & #39;quieter& #39; and & #39;busier& #39; media days when calculating the CDFs, the methodology is likely to underestimate xMB for those that produce & #39;media baselines& #39;. This could partly explain the difference we see in players like Sancho and Pogba.

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Finally, use this as a guide only and always do your own research! For any queries, feel free to tweet or message me. Thanks for reading #footballindex https://link.medium.com/a6eZ32yln9 ">https://link.medium.com/a6eZ32yln...
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