Key finding
Footballguys (PPR board) led the 2026 Week 4 half-PPR DEF accuracy comparison with a skill score of 58.8. Draft Sharks and FantasyPros Consensus tied at 28.2, with the stated lead over Draft Sharks measuring 30.6 skill points. The displayed field contains 14 eligible tracked ranking products, spanning positive scores down to FF Toolbox (PPR board) at -67.1. The central story is not simply the winner: Footballguys finished above its own through-week average, while ties elsewhere brought together products with quite different records. [1]
Reading the field beyond the headline score
Skill score measures how much better than a random order a ranking matched how players actually scored. On this scale, 0 is random and 100 is perfect; most rankers land between about 5 and 35 because weekly fantasy scoring is noisy. Footballguys’ 58.8 therefore sits above that usual range, while FF Toolbox’s negative result falls below the random-order benchmark. These are measurements of ranking order against actual scoring, not prediction success rates or overall ratings of the services that publish the products. [2][1]
Between those endpoints, the field is clustered rather than evenly separated. Draft Sharks and FantasyPros Consensus share 28.2; Daniel Dopp and Matt Bowen share 18.8; and Liz Loza and Mike Clay share 16.5. Field Yates, ESPN app projections and Tristan H. Cockcroft also meet at 11.8. Those repeated scores matter to the interpretation: several named products occupy the same measured position. The table contains distinctions between score groups, but it does not supply a separate accuracy advantage for every successive name. [1]
The largest weekly score tells a different story from the averages
Footballguys’ lead becomes more revealing against its own record. Its through-Week 4 average is -1.8 across 4 eligible weeks out of 4 published weeks, and the supplied comparison places its weekly result 60.6 points above that average. The leading weekly score thus sits alongside a negative through-week average. That contrast is central to reading the result: the Week 4 ranking captured a strong outcome on this measure, but the average describes a substantially different record across the eligible weeks, including this result. [1]
The distinction between weekly placement and distance above an average also appears away from the winner. FFToday scored 22.4, below Draft Sharks’ 28.2, yet its stated lift above its own average was larger: 29.4 points, compared with Draft Sharks’ 26.2. FFToday’s through-week average was -7.1, while Draft Sharks’ was 2.1, each across 4 eligible weeks out of 4 published weeks. A larger above-average result therefore need not mean a higher weekly finish. Placement and same-product comparison answer different questions, and neither should substitute for the other. [1]
Why identical weekly scores can hide different records
The Loza–Clay tie provides a clear example of what a weekly score leaves out. Both finished at 16.5, but Loza’s through-week average was 4.7 and Clay’s was -7.6, each covering 4 eligible weeks out of 4 published weeks. Their stated Week 4 comparisons were correspondingly different: 11.8 points above average for Loza and 24.1 for Clay. The weekly result puts them together; their own averages separate the context. Reading both measures preserves the tie without treating their observed histories as interchangeable. [1]
That same distinction extends into the lower positive-score group. Field Yates and ESPN app projections both scored 11.8, yet their through-week averages were 1.2 and -10.9, respectively, across 4 eligible weeks out of 4 published weeks. ESPN app projections’ stated above-average comparison was 22.6 points, against Yates’s 10.6. This is also a reason to keep the named products separate: an app projection product and an individual ranking can share a weekly outcome without sharing a through-week record. The common score establishes equal measured accuracy for this week, not equivalence between the products more broadly. [1]
The bottom result gives the full spread its shape
The stated highest-to-lowest spread is 125.9 skill points across the 14 products. That range needs to be read alongside its endpoints, rather than as a description of the spacing throughout the table. FF Toolbox (PPR board) scored -67.1, while Eric Karabell’s 10.6 remained on the positive side of the scale. The lowest product therefore sits below the random-order benchmark while the other displayed products sit above it. The full spread captures that contrast as well as Footballguys’ lead; it does not describe a uniformly dispersed field. [1][2]
FF Toolbox also differs in the coverage behind its average. Its -37.3 through-week average covers 3 eligible weeks out of 4 published weeks, and Week 4 was 29.8 points below that average. This is a below-average result on an already negative observed record, rather than the above-average pattern illustrated elsewhere. The eligibility distinction matters independently of the score: published-week coverage and eligible-week coverage are not interchangeable. Any comparison of its average with products covering 4 eligible weeks should retain that difference rather than presenting all averages as equally scoped. [1]
What a fantasy manager can take from the snapshot
Publication status is separate from both accuracy and eligible-week coverage. There are 0 provisional results among the 14 displayed products; all have published Week 4 results. Provisional status would flag a result still subject to the publication and correction process, but the absence of that label does not make this snapshot immutable. Results use the weekly lock policy and permitted published observations, and corrections or permission changes can change the available evidence. That publication framework applies to the displayed comparison, including its scores, gaps and same-product context. [1][2]
For a fantasy manager, this report establishes which tracked half-PPR DEF ranking products aligned most closely with scoring in Week 4 and how selected results compared with those products’ own through-week averages. Footballguys led by the stated 30.6-point gap, but its negative through-week average makes the weekly and longer-view readings visibly different. The ties reinforce that distinction elsewhere. This sample can document those outcomes; it cannot establish season-long or future superiority. The seasonal participation gate is separate, and the remaining question is whether these weekly relationships persist beyond this noisy sample. [1][2]
Sources
- Fan50 evidence record · Checked October 29, 2026
- Fan50 methodology · Checked November 5, 2026