Our analysts have spent the past few months building new analytics models and perfecting the classics. All the work has been published and is ready to go for the NFL Draft this weekend, but in the name of convenience, here is every metric wrapped up into one tidy chart for simple reference.
The table is sortable by every category, so for example, you can find out where Nyheim Hines ranks in both Speed Score and Workhorse Score in a few quick clicks.
Bookmark this page and keep it handy for your upcoming dynasty rookie drafts.
Here is the author’s explanation of each of the six metrics in the table.
- Breakout Age – We define breakout age as the age when an RB first crosses 130 adjusted all-purpose YPG. – Anthony Amico
- Prospect Lab Scores – The Lab takes age, weight, speed, agility, rushing, and receiving production and gives you a score scaled from 1 to 100. In recent seasons, players like Ezekiel Elliott (92), Le’Veon Bell (90), and Todd Gurley (85) have posted high scores and gone on to establish themselves as consistent week winners. – Shawn Siegele.
- Workhorse Score – Matthew Freedman invented it to encapsulate an RB’s share of his team’s (non-QB) rushing production in non-blowouts. The idea is to find out how much a college RB was used in meaningful game situations when his team intentionally rushed the ball with an RB. – Blair Andrews
- Speed Score – Speed Scores help us compare the 40 times posted by RBs of various sizes. The equation is calculated by multiplying a back’s weight by 200 and dividing this result by his 40 time set to the fourth power. – Dave Caban.
- Backfield Dominator – It measures each RB’s production in relation to the other players they share backfield duties with. The metric combines each player’s share of RB yards and touchdowns to determine how they were used in their college offense, compared to other RBs on their team. – Blair Andrews.
- Amico’s Prospect Projection – The purpose of the model is to predict an RB’s best season within his first three years. A “hit” is defined as a player reaching the 200-point (PPR) threshold within three years. Using that definition, the average RB success has had a projection of 199.9 points and a median projection of 202.7 points. The model does a great job of approximating production. – Anthony Amico.
- RotoViz Scouting Index – The RotoViz Scouting Index (RSI) tracks NFL draft prospect rankings from a variety of traditional scouting sites, giving you quick insight into how incoming rookies are currently being valued over in “real football” land. – Dave Caban.
Here is every RotoViz rookie RB metric in one chart.
|Player||School||Age||Breakout Age||Prospect Lab||2017 Workhose||Speed Score||Backfield Domintor||Amico Predict||Scouting Index|
|Dalyn Dawkins||Colorado State||23||23||-||-||-||-||44||-|
|Demario Richard||Arizona State||21.1||-||20||-||89||-||20||-|
|Diocemy Saint Juste||Hawaii||23.8||23.8||-||-||-||-||1.2||-|
|Ito Smith||Southern Mississippi||22.2||20.2||-||91||-||80||101||-|
|Jamal Morrow||Washington State||22.9||21.9||-||-||-||-||-||-|
|Jaylen Samuels||NC State||21.4||-||-||-||-||-||-||-|
|Josh Adams||Notre Dame||21.2||-||-||38||-||72||86||12|
|Justin Crawford||West Virginia||22.8||-||-||51||87||49||24||-|
|Kalen Ballage||Arizona State||22||-||47||33||115||34||83||11|
|Larry Rose III||New Mexico State||22.2||20.2||-||83||-||75||48||-|
|Nyheim Hines||NC State||21.1||21.1||48||48||108||63||157||9|
|Saquon Barkley||Penn State||20.9||19.9||100||92||124||70||283||1|