2026 Fantasy Football Rookie Mock Draft 1.0
02/10/2026
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As the 2026 NFL Draft approaches, we are gearing up with our first rookie fantasy football mock draft. In this draft, we
For the 98th installment in our “Does It Matter?” series, we looked at one of the most niche statistics for the Tight End position: The Dominator Rating (via PlayerProfiler). Does a high college dominator actually predict NFL fantasy production, or is it an overrated metric for the position? We crunched the numbers to figure out if it matters, how much it matters, and what benchmark we should look for in athletes. Here are all our findings.
To conduct this study, we analyzed the top 50 fantasy football finishers (PPR scoring) at the Tight End position since 2003. All Dominator ratings were sourced from PlayerProfiler.com.
Why the top 50? We specifically targeted the top 50 to find a “happy medium.” If we expanded the data pool further, we would have included fringe roster players whose low production would naturally skew the data. Conversely, we needed a large enough sample to compare the “best” against the “worst.” By comparing the elite Top 10 against the “Bottom 10” (the 41st-50th place finishers), we were able to create a distinct contrast between high-end starters and replacement-level players.
We began our tests by creating an averages chart segmented into different tiers: Top 5, Top 10, 11th-30th, and 31st-50th. From this, a persistent trend emerged: higher Dominator Ratings typically correlated with higher fantasy scores. Specifically, in 82.3% of seasons (14 out of 17), the Top 5 fantasy finishers boasted a higher average Dominator Rating than those finishing in the 31st-50th range.
To visualize the correlation further, we charted every Top 10 finisher since 2003 and segmented them into 1.0 Dominator Rating “buckets.”
When comparing the Top 10 against the Bottom 10, the weight and distribution of the charts shifted significantly. The Top 10 finishers were more heavily concentrated in higher-percentage buckets, while the Bottom 10 were anchored in the lower ranges. This analysis appeared to further confirm that while outliers exist, the probability of a “hit” increases as a Tight End’s college Dominator Rating rises.
To move beyond averages, we wanted to find an applicable threshold that signals top-level consistency and filters out the “one-hit wonders” or unique outliers. To achieve this, we developed a Differences Chart. This chart compares each individual Dominator Rating plus a rolling window of the next 3.0 points (e.g., a range of 14.0–17.0), subtracting the “Bottom 10” results from the “Top 10” results within that specific group. The chart’s desired outcome is a negative number for unique differences (Orange) and a positive number for non-unique differences (Blue). This analysis indicated that a Dominator Rating of 14.0 and above served as the entry point for a top-performing range, which we will verify or adjust next to find the optimal range.
After identifying the 14.0 baseline, we number-crunched further to fine-tune the range for maximum production. By testing various increments within our spreadsheet, we discovered that shifting the benchmark to 16.0 and above revealed the optimal range. Players with a Dominator Rating of 16.0+ appeared in the Top 10 at a 22.9% higher rate than they appeared in the Bottom 10. For fantasy managers, this 16.0+ benchmark represents the “optimal range” you should look for when scouting your favorite athletes and will also be included in our Ultimate Athlete Blueprints which offers an easy-to-read table housing all of our researched metrics combined in one place for you to view as seen here:
Due to these findings, Dominator could play a factor in our Star-Predictor Score (SPS) model. The Star-Predictor Score (SPS) is a scouting tool designed to maximize investment potential and reduce risks when drafting rookies in Fantasy Football. It is proven to have a higher accuracy than draft capital alone to predict fantasy football success. The SPS includes 13 to 17 metrics, with the exact number varying by the player’s position. All these metrics are pre-NFL – some of which are proprietary to BrainyBallers – providing a complete analysis of a player’s analytical profile. The SPS gained widespread notoriety for its high accuracy, having made it on Barstool and The Pat McAfee Show. The SPS can be found here, and future projected SPS grades can be unlocked here.
Don’t just draft for this year. Gain the knowledge needed to position yourself to secure your future with SPS rookie data.
To ensure these findings held up across the whole dataset, we applied standard statistical methods:
In the context of standard statistical methods for fantasy sports, this shows a strong correlation between college Dominator Ratings and future NFL fantasy production. We are hoping for a minimum of 0.1, or an inverse correlation maximum of -0.1 when studying world-class athletes as we are. For reference to something that everyone acknowledges matters in prospect scouting, and to show the accompanying Pearson value, QB draft capital prevailed a -0.219 Pearson value – meaning earlier drafted QB’s perform better.
Furthermore, we compared data across decades to see if the metric’s relevance was fading or growing. Our Decadal Differences Chart revealed that this 16.0+ optimal range is not just a historical fluke; it has become a steadily significant trend in the most recent decade. When comparing the bottom 10 to the top 10, the significance of the TE Dominator Rating remains a steady influence of fantasy football success.
| 2004-2013 | |||
| Top 10 | 11 through 40 | Bottom 10 | |
| All count | 44 | 120 | 39 |
| All 16 and above | 39 | 91 | 26 |
| % (Optimal Range/all) | 88.6% | 75.8% | 66.7% |
| 2014-2023 | |||
| Top 10 | 11 through 40 | Bottom 10 | |
| All count | 96 | 283 | 88 |
| All 16 and above | 89 | 219 | 61 |
| % (Optimal Range/all) | 92.7% | 77.4% | 69.3% |
Ultimately, the Dominator Rating does matter. It helps provide a blueprint for the kind of Tight End you should be targeting for Fantasy Football success.
Our series has always sought to push the boundaries of sports analytics. This latest installment reaffirms our commitment to uncovering the hidden dynamics that define the game. Every Saturday, we’ll dive into intriguing questions, bust myths, and settle debates with thorough analysis. We welcome your input. Therefore, please leave comments or reach out with topics you’re eager to see dissected. All of our research can be found on our Analytics Page. Up next on our agenda for Part 99 of “Does It Matter?” is an examination of Tight End QB Rating When Targeted: Does It Matter? If so, what’s the QB Rating threshold necessary for NFL success? Mark your calendars; every Saturday we shed light on the topics that matter to you. All it takes is a quick question being asked and we will go to work for you!
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