Predictive Waiver Wire Analytics - Learn more

Fantasy Football Predictive Waiver Wire Analytics

Brant Tedeschi Sep 21st 6:34 PM EDT.

Predictive analytics in a nutshell is a game changer for fantasy players. No one else in the industry offers these types of insights except for here at FantasySP.

You will now be able to analyze the most important fantasy metrics of the current week BEFORE waivers are processed.


Find out the Expected Waiver Interest (EWI) of each player, as well as how much of your FAAB budget it would take to get “your guy” in the average league. 

You will now have unique insights into which players fantasy owners are giving up on and which players fantasy owners are fighting for in the current week.

These include: waivers, trades, add/drops, and FAAB (free agent auction bidding). Predictive analytics is incredibly critical for fantasy managers who participate in leagues with FAAB spending. The biggest decision fantasy owners have to make each week is not who to add, but how much to spend. Using FantasySP’s Predictive analysis, now you know not just who the most valuable waiver wire pickups are each week, but also exactly how much other fantasy managers are spending to acquire that player. This will allow you to make the weekly winning bid and get “your guys.” This is a game-changing tool that will lead to tons of championships by FantasySP users.

FantasySP’s Predictive analytics also tells you how much each player’s ownership will change from pre-waivers to post-waivers.

For example, prior to Week 1, San Francisco’s sixth-round rookie Eli Mitchell was just 6% owned. However, after a 100-yard day following Raheem Mostert’s season-ending injury, Mitchell was the hottest player on the market. FantasySP’s predictive analytics signaled Mitchell’s EWI was 99% and prectived he would be 99% owned following waivers. The tool also revealed that real fantasy owners in real leagues were spending 22% of their FAAB budgets to acquire the rookie. Knowing that fantasy owners were spending $22 of their $100 FAAB budgets allowed me to grab Mitchell by spending $25. I trusted the tool and was rewarded with my biggest waiver wire target heading into Week 2.

How can you predict the Waiver Wire?

Unfortunately, we cannot divulge the specific secret sauce. There are many ingredients that go into the algorithm but the results are proven to be incredibly accurate when compared to processed waivers. When waivers do go through on Wednesday morning we will also showcase the Post Waiver own percentage so you can compare how accurate we were to the real thing.

Feel free to compare and contrast these numbers as waivers officially process during the week. To be clear, the waiver data will stay on the current week until the following week rolls around, at least for the NFL. This tool may work differently in fantasy basketball and fantasy baseball leagues.

How Often is the Data Updated?

This data is updated in real time. I suggest checking it throughout the day on Tuesday as you research waivers and more news comes in throughout the day. By Wednesday, you can see exactly how accurate this tool is. Be sure to check multiple times on Tuesday, as our numbers evolve over time. A lot can happen in a given day in terms of injury news.

Understanding Expected Waiver Interest

The interest metric projects the amount of activity on the waiver wire for a specific player against the rest of the waiver pool. So Eli Mitchell had a ridiculous 99% EWI after Week 1. This player is likely to be claimed in 99% of leagues he is available in. Everybody wanted to get a piece of the new starting running back in San Francisco. 

Expected Waiver Interest will be higher for a player with a lower ownership percentage because he is eliglbe in more leagues. 

Understanding Pre Waiver Own

Pre Waiver own is the ownership percentage of a player PRIOR to waivers being processed for the week. Again, Eli Mitchell was only 6% owned prior to waivers being processed. Afterwards, he was owned in almost every single league! In the NFL, one strong outing under the right circumstances can make all the difference in the world.

Understanding Projected Own

Projected own is the projected ownership percentage of a player AFTER waivers are processed for the week. Mitchell’s projected ownership was 99%. Mark Ingram, who was owned in 21% of leagues pre-waivers had an EWI of 40%. Therefore, his projected post-waiver ownership was 61%.

Understanding FAAB

Find out what percentage of your FAAB you need to spend to get the player you have your eyes on. This tool will tell you exactly what the average bid budget other owners are spending to get each player. You can see that Eli Mitchell was going for 22% of fantasy managers' budgets. This helps you interpret exactly how much you need to spend to get the guy at the top of your list. Perhaps you weren’t sold on Mitchell and were more interested in Sterling Shepard after his 100-yard day against the Denver Broncos. Our predictive analytics suggested spending just more than 8% of your FAAB cash in order to acquire the veteran wideout. If you spent more than 8%, you probably were able to get Shepard.

Predictive analytics is a fantasy football tool that is unrivaled. Winning your league is all about in-season management. Use FantasySP’s in-season tools to dominate and win a championship.


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Robert Woods TEN WR +13.5
Michael Thomas NO WR +7.3
Christian McCaffrey CAR RB +7.2
Adam Thielen MIN WR +6.3
Tyler Higbee LAR TE +5.6
Chuba Hubbard CAR RB +4.3
Rondale Moore ARI WR +4.0
Christian Watson GB WR +4.0
Vikings DST MIN DST +3.8
Jerry Jeudy DEN WR +3.6
Jakobi Meyers NE WR +3.3
Jimmy Garoppolo SF QB +3.3
C.J. Uzomah NYJ TE +3.3
Mason Crosby GB K +3.2
Davis Mills HOU QB +3.1
Noah Fant SEA TE -7.4
Marquez Valdes-Scantling KC WR -6.9
Courtland Sutton DEN WR -6.7
Matt Ryan IND QB -6.7
Gabriel Davis BUF WR -5.3
Clyde Edwards-Helaire KC RB -4.4
Kirk Cousins MIN QB -3.9
Latavius Murray RB -3.7
Isaiah Spiller LAC RB -3.7
Brandon McManus DEN K -3.7
Kyler Murray ARI QB -3.6
Chris Olave NO WR -3.4
Bengals DST CIN DST -3.4
Nyheim Hines IND RB -3.3
Jordan Howard RB -3.3

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