2026 NFL season, half-PPR rankings
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  3. 2026 Week 8 Half-PPR RB Rankings: Stone and Krajewski Lead a 20-Product Field

Measured weekly report

2026 Week 8 Half-PPR RB Rankings: Stone and Krajewski Lead a 20-Product Field

Key finding

Jonathan Stone and Kyle Krajewski share the highest displayed skill score in the 2026 Week 8 half-PPR running back accuracy report, each at 31.4. FF Toolbox (PPR board) follows at 30.4, while the lowest displayed score is 28.0; across the 20 eligible tracked products, the high-to-low gap is 3.4 skill points. The field is closely grouped in score, and all 20 results are provisional. That makes this a snapshot of the week’s measured rankings—not a settled comparison of season-long or future performance. [1][2]

A shared lead in a compact field

The report covers 20 eligible tracked ranking products for 2026 Week 8 half-PPR RB scoring. Jonathan Stone and Kyle Krajewski share the lead at 31.4, and the next distinct displayed product, FF Toolbox (PPR board), is at 30.4. The stated gap between the leaders and that next product is 0.9 skill points. That describes a close top tier in this cohort, rather than a lone product separating from the rest. [1]

The full displayed field is also compact in score: the gap between its highest and lowest products is 3.4 skill points. That span runs from the tied 31.4 scores to Doug Burrell’s 28.0. The leader-to-next gap and the full-field spread describe different parts of the same picture: the leaders sit just above the next product, while the bottom of the cohort remains within a few skill points of the top. These are descriptive distances, not evidence of predictive separation. [1]

The scores through the middle of the cohort

After FF Toolbox at 30.4, Justin Sablich recorded 29.8 and Heath Cummings 29.5. Kelly Smelser and Derek Brown both posted 29.0. These results fill the space between the top entries and a larger group in the upper twenties. The sequence is useful for understanding the shape of the ranking: the score does not fall away sharply after the leaders, but moves through several nearby results before reaching the products at the lower end. [1]

The close grouping continues with Matt De Lima and Mike Wright at 28.9, Elliot Berkovits at 28.7, Tyler Orginski at 28.6, and Brad Evans and Kev Wheeler at 28.5. The supplied scores place these products near one another, with several ties rather than a distinct break in the field. Read alongside the 29.0 results, this middle stretch shows why the overall spread alone does not tell the whole story: many products are separated by small score differences within the cohort. [1]

What the lower scores show

At the lower end, Kyle Yates recorded 28.2. Zach Brunner, Andy Holloway, and Joel Smyth each recorded 28.1, followed by Frank Ammirante, Mike Maher, and Doug Burrell at 28.0. The bottom of the displayed field is therefore a cluster of tied or closely neighboring scores, rather than a single result far removed from the products immediately above it. That pattern echoes the shared lead: ties and narrow score differences appear at both ends of this weekly cohort. [1]

The contrast between 31.4 at the top and 28.0 at the bottom is the reported 3.4-point spread across the 20 products. The skill-score scale matters when reading that distance: 0 represents a random order and 100 a perfect match, while most rankers land between about 5 and 35 because weekly fantasy scoring is noisy. Scores in this report fall within that stated range. The spread is a measure of this week’s results, not a declaration that one product is reliably superior. [1][2]

The one available through-week comparison

FF Toolbox (PPR board) is the one displayed product with a supplied multiweek eligible record for a same-product comparison. Its Week 8 score is 30.4, against a through-week average of 31.1 over 8 eligible weeks out of 8 published weeks. The supplied comparison describes Week 8 as 0.6 skill points below that average. This places its result below its own observed through-week mark, even as it remains the next distinct product after the tied leaders in this week’s cohort. [1]

For the other displayed products, the supplied through-week averages match their Week 8 scores, and each has 1 eligible week out of 8 published weeks. Those figures establish the weekly result as their available record so far, but they do not offer a multiweek average against which to judge whether this particular week was above or below their own longer-running level. The distinction matters: a same-product trend comparison is available for FF Toolbox, but not from a single eligible week for the others. [1]

How managers should read this snapshot

A skill score measures how much better than a random order a ranking matched how players actually scored; it is not a prediction success rate. In this report, 31.4, 30.4, and 28.0 therefore describe the products’ results on that scale for the week. The score differences should be read at their stated sizes, without treating the ordering as proof of a durable advantage. Weekly scoring is noisy, and the methodology cautions that one week does not establish season-long or future superiority. [2][1]

Every result in the displayed cohort is provisional, meaning it remains subject to the publication and correction process. The results use the weekly lock policy and permitted published observations; corrections or permission changes can change the available evidence. For a fantasy manager, this report can show how these eligible half-PPR RB ranking products compared in this one week and how tightly their scores were grouped. It cannot determine which product will rank well in another week or settle a season-long comparison. [1][2]

Sources

  1. Fan50 evidence record · Checked November 3, 2026
  2. Fan50 methodology · Checked November 4, 2026

This article is generated from recorded evidence and refreshed when that evidence materially changes. It is not a hands-on service test, a human-reviewed verdict or an editorial service rating.

Public reports are selected observations, separate from Fan50 measurements. Source-based research does not establish future performance. Methodology · Report a correction