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		<title>Strokes Gained: Explained</title>
		<link>https://sweetspotdfs.com/strokes-gained-explained/</link>
		
		<dc:creator><![CDATA[Eric Darbo]]></dc:creator>
		<pubDate>Tue, 09 Dec 2025 04:12:37 +0000</pubDate>
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		<guid isPermaLink="false">https://sweetspotdfs.com/?p=7508</guid>

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		<post-id xmlns="com-wordpress:feed-additions:1">7508</post-id>	</item>
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		<title>Combo Buckets</title>
		<link>https://sweetspotdfs.com/combo-buckets/</link>
		
		<dc:creator><![CDATA[Eric Darbo]]></dc:creator>
		<pubDate>Thu, 06 Jun 2024 17:32:50 +0000</pubDate>
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		<guid isPermaLink="false">https://sweetspotdfs.com/?p=6164</guid>

					<description><![CDATA[As if The Bucket System isn&#8217;t confusing enough, I decide to introduce the &#8220;Combo Buckets&#8221; to you. Let me explain what these are. (Use the image below for reference, it&#8217;s from The Memorial Tournament). I&#8217;ll explain in detail below, but to summarize&#8230; Combo Buckets give you an idea of which golfers share more stats with [&#8230;]]]></description>
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									<p>As if The Bucket System isn&#8217;t confusing enough, I decide to introduce the &#8220;Combo Buckets&#8221; to you. Let me explain what these are. (Use the image below for reference, it&#8217;s from The Memorial Tournament).<br /><br /><strong>I&#8217;ll explain in detail below, but to summarize&#8230; </strong>Combo Buckets give you an idea of which golfers share more stats with previous top 10 golfers at this week&#8217;s tournament. That&#8217;s it.<br /><br /><strong>To provide more detail&#8230;<br /></strong>I have each combo bucket separated by salary range (10K, 9K, 8K, 7K, 6K).  These ranges represent the traditional salaries that DraftKings provides. In 2024, they introduced the 5K range. In case of this scenario, please refer to the &#8220;Cheat Sheet&#8221; as I will convert those salaries to the traditional salary ranges.<br /><br />In each of the combo buckets, you will see: CH, LY, RF AVG, LW next to the Salary and Player. These four stats represent the core stats used for The Bucket System. Refer to &#8220;The Bucket System&#8221; article to understand how the buckets are created.<br /><br />To the right of the core stats, you will find each of the bucket combinations. These numbers represent the amount of times golfers with the same bucket combination finished inside the top 10 (of their respective salary). This is a count.<br /><br />At the end of each table, you will see a &#8220;sum.&#8221; This is just the total of counts from the bucket combinations. The higher the number, the more common this golfer has with previous top 10 finishers.<br /><br /><strong>So, what does this all mean? Why is this important?</strong><br /><br />Really, it&#8217;s up to you. I view these combinations as an easier way to find anchor plays. If golfers with higher &#8220;sums&#8221; are more likely to finish inside the top 10, why not anchor around them? <br /><br />This is not fool-proof though. Any golfer that has a count of at least ONE (1) under any of their bucket combinations still has a chance to finish inside the top 10 of this week&#8217;s tournament. When I discuss &#8220;anchor buckets&#8221; in my videos, I always say: &#8220;just because they show up more does not guarantee they will finish inside the top 10. It just increases their chances.&#8221; The same thing applies here.<br /><br />If you&#8217;re more advanced with your analysis, you should always take into account the buckets + the bucket combinations. Remember, the projections for the buckets are finite. Meaning, you only want 0-2 or 1-3 or 2-4 of golfers in a particular bucket. Remember this when looking at the combos. If you&#8217;ve hit your quota of golfers in a particular bucket, scratch the remainders of golfers in that bucket from your combinations. You can also use the buckets (or anchor buckets) to find quality golfers from the combo buckets. </p>								</div>
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									<p><em>If you have any questions, email me at: sweetspotdfs@gmail.com</em></p>								</div>
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		<post-id xmlns="com-wordpress:feed-additions:1">6164</post-id>	</item>
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		<title>The Bucket System</title>
		<link>https://sweetspotdfs.com/the-bucket-system-explained/</link>
		
		<dc:creator><![CDATA[Eric Darbo]]></dc:creator>
		<pubDate>Tue, 14 May 2024 03:33:02 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://sweetspotdfs.com/?p=5943</guid>

					<description><![CDATA[The Bucket System is a tool that analyzes lead-in stats for top 10 finishers at any PGA Tour event. The purpose of this analysis is help us identify the pieces we need to target the Optimal Lineup. More often than not, the top 10 of leaderboards are full of golfers you would not expect there. [&#8230;]]]></description>
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<p class="has-black-color has-text-color has-link-color wp-elements-4290b61ba1b8f5bfd4985ee5d513db91" style="text-transform: none;">The Bucket System is a tool that analyzes lead-in stats for top 10 finishers at any PGA Tour event. The purpose of this analysis is help us identify the pieces we need to target the Optimal Lineup. More often than not, the top 10 of leaderboards are full of golfers you would not expect there. How often have you seen some random rookie or old guy finishing inside the top 10? How many times have you seen a golfer miss the cut 3, 4, or even 5 weeks in a row only to finish inside of the top 10 of a signature event or a major championship the following week? Most of the industry calls this &#8220;variance&#8221;. Meaning, “we cannot calculate this randomness.” Well… why not?<br /><br />There are six (<strong>6</strong>) stat categories that the Bucket System analyzes.  They are: Last Year, Last Week, Course History, Recent Form, Salaries, and Strokes Gained. All stats are captured before the beginning of an event. Hence, they are all lead-in stats that we can use to analyze current tournament fields.<br /><br /><strong>Last Year</strong> – the finishing position at an event from the year before. This includes golfers who have not played last year. For inaugural years, there are no Last Year stats to analyze.<br /><br /><strong>Last Week</strong> – the finishing position from last week’s event. This includes golfers who have not played last week. If there is no event last week, Last Week stats are not analyzed.<br /><br /><strong>Course History</strong> – (also called Tournament History/Event History) Average finishing position at any event that dates back to 2013. I require at least two years of event history to have completed before calculating course history.<br /><br /><strong>Recent Form</strong> – average finishing position for the last 7 weeks. Match play events are ignored. 7 weeks + current week = two full months. To me, golfers forget about anything that happens prior to two months ago. This is completely arbitrary, but it is in my experience that this works for “recent form” analysis. I would never go further than two months of analysis. I also would never go shorter than one month. In the future, we will be able to shift these periods for more advanced analysis.<br /><br /><strong>Salary</strong> – This is straight forward. The reason I look at salaries is because they’re a “power ranking” from DraftKings (or whatever fantasy site you use). Why not track this? It proves to help when building lineups. Does the cream rise to the top or do we see scrubs finish inside the top 10 more often?<br /><br /><strong>Strokes Gained</strong> – this is a unique stat for analysis. I look at the last 365 days of strokes gained data. In the future, you will be able to research by different periods. This is also the newest stat added to The Bucket System. I combine SG: OTT + SG: Putting to create all of the buckets for this stat. A breakdown is shown below:<br /><br />SG1 = All strokes gained stats are positive (OTT, APP, ARG, PUTT).<br />SG2 = SG: OTT and SG: Putting are positive and either ARG or APP is negative.<br />SG3 = SG: OTT is positive and SG: Putting is negative. ARG and APP can be anything.<br />SG4 = SG: OTT is negative and SG: Putting is positive. ARG and APP can be anything.<br />SG5 = All strokes gained stats are negative (OTT, APP, ARG, PUTT).<br />SG6 = There are no strokes gained data for the golfer in the last 365 days.<br /><br /><br />This is a good segway to let you know that there are six (<strong>6</strong>) buckets for each stat category (like I showed above with the Strokes Gained stats). That means there are a total of 36 buckets within The Bucket System. The number six (<strong>6</strong>) just works perfectly in fantasy golf. You can only put together six (<strong>6</strong>) golfers in a lineup (for major fantasy sites). And when I had created The Bucket System, the cut rules for PGA Tour events were top 70 and ties. If more than 78 golfers made the cut, a secondary cut would be made after round 3. The top 60 golfers would then continue to play in round 4. That means a total of 78 golfers COULD have made the cut. That number is really close to 80. And when I was creating the ranges for the last week or last year buckets, I first had to consider 1) golfers who did not play and 2) golfers who either missed the cut, withdrew, or got disqualified. So, that left me with nearly 80 golfers to evenly split into other buckets. It just made sense break them into 4 different buckets (20 in each). Here’s a break down of each stat and their buckets:<br /><br /><strong>Last Year and Last Week Buckets:</strong><br />Bucket 1 = 1-20 finishes<br />Bucket 2 = 21-40 finishes<br />Bucket 3 = 41-60 finishes<br />Bucket 4 = 61-80 finishes<br />Bucket 5 = Missed Cuts, Withdraws, Disqualifications<br />Bucket 6 = Did not play<br /><br /><strong>Recent Form and Course History Buckets:</strong><br />Bucket 1 = 1-20 averages<br />Bucket 2 = 20-40 finishes<br />Bucket 3 = 40-60 finishes<br />Bucket 4 = 60-80 finishes<br />Bucket 5 = Missed Cuts, Withdraws, Disqualifications<br />Bucket 6 = Did not play<br /><br /><strong>Salaries:</strong><br />Bucket 1 = 10K and above<br />Bucket 2 = 9K<br />Bucket 3 = 8K<br />Bucket 4 = 7K<br />Bucket 5 = 6K (or 6.5 and above)<br />Bucket 6 = 5K (or 6.4 and below)<br /><br /><strong>Strokes Gained buckets were explained above.</strong></p>
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