Predictive insights with statistical integrity

My fantasy rankings and accuracy reports get too much of the attention.

What people really stay for is a shared love of extracting predictive insights. We don’t just want rankings. We want to understand the real drivers. We want confidence in the reasoning behind our fantasy decisions.

At Subvertadown, my hand-tailored AI reveals what data's most meaningful. And it's broken down so you can easily understand and choose the best odds.

Freely browse the live examples on this page: guidance for multi-week planning, visuals that explain what causes a high or low ranking, advice on betting lines and timing, and lots of nuggets for your strategy.

Strategize who you stream—and plan your “holds” by using 17-week forecasting charts.

Player/Team
16
17
AVG
Playoffs
Texans 11.4 7.8 9.6 9.4
Bills 10.8 6.4 8.6 7.4

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Player/Team
16
17
AVG
Playoffs
Jalen Hurts | PHI 21.7 17.7 19.7 19.2
Josh Allen | BUF 20.9 21.8 21.3 21.6

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Player/Team
16
17
AVG
Playoffs
Ka'imi Fairbairn | HOU 11.2 9.5 10.4 10.3
Jake Bates | DET 10.4 9.8 10.1 9.8

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Members here mostly care what’s behind the numbers: rigorous models. But the website goes further by also interpreting the reasons behind each recommendation. So try hovering over the tool-tips for deeper explanations, to help you reason your weekly pick.

Quarterbacks

Wk 16 Proj. Stats
Player Matchup
Wk 16
Wk 17
Wk 18
Err.
PaY
RuY
PTD
Int.
Jalen Hurts PHI @ WAS 21.7 17.7 - 5.9 217 45 1.7 0.6
Josh Allen BUF @ CLE 20.9 21.8 - 5.4 202 41 1.7 0.5

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D/STs

Wk 16 Proj. Stats
Team
Wk 16
Wk 16 Trend
Wk 17
Wk 18
Hold?
Err.
PA
YA
Int.
Sacks
FR
TD
Texans vs. Raiders 11.4
5.3 11.6 253 0.9 3.8 0.7 0.14
Bills @ Browns 10.8
- 4.7 15.1 266 1.1 2.6 0.8 0.18

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Kickers

Wk 16 Proj. Risk
Player Matchup
Wk 16
Wk 17
Wk 18

Hold?
Err.
4thD
Missed
Ceil
Fl
DD%
LD%
FG
XP

Impl. score
Ka'imi Fairbairn HOU vs. LV 11.2 9.5 - Y 4.1 0.8 0.4 15.5 8.1 45% 5% 2.4 2.6 26.7
Jake Bates DET vs. PIT 10.4 - - Y 3.6 2.1 0.5 13.5 7.2 42% 12% 2.1 3.4 29.9

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‘Strength of Schedule (SoS) forecasts the difficulty for a team’s, for future weeks. These charts are based on multi-dimensional predictive models, which makes them much more reliable than plain “fantasy points allowed” that you might find elsewhere, if you’re making your roster decisions based on opponents.

Matchup Bonuses can help you predict if a fantasy player will score more or less than usual. We first model the team "Baseline", which represents the fantasy points expected from all team players at the given position. The rest of the table indicates the weekly deviations from this baseline-- i.e. the "matchup bonus". The AVG column therefore represents the rest-of-season strength of schedule.

Running Backs

Player/Team
Baseline
Next 4
16
17
AVG
Playoffs
Saints 16.4 2.7 4.2 1.2 2.7 1.9
Panthers 19.9 0.0 1.1 -1.1 0.0 -0.1

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Wide Receivers

Player/Team
Baseline
Next 4
16
17
AVG
Playoffs
Panthers 26.6 3.1 3.0 3.2 3.1 1.9
Raiders 17.4 -0.4 -3.0 2.2 -0.4 -1.7

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Tight Ends

Player/Team
Baseline
Next 4
16
17
AVG
Playoffs
Dolphins 10.7 1.8 3.0 0.6 1.8 1.2
Buccaneers 7.0 0.5 0.2 0.8 0.5 0.3

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Betting lines: A portfolio of suggested likely betting options, among spreads and O/Us. In addition to scaling the level of each wager, it also suggests whether to bet near opening or closing.

Bets for Open

Spreads

Original Spreads (Tuesday) and Updates Current Spreads (if placed after Tuesday)
Orig. Pick Orig. Line Opponent Orig. Bet Update Revised Pick? Curr. Line Bet Until Current
SeahawksTNF 1.1 Rams $4 - - -1.5 0.7 $0

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O/U

Original O/U (Tuesday) and Updates Current O/U (if placed after Tuesday)
Home Away Orig. Pick Orig. Line Orig. Bet Update Revised Pick? Curr. Line Bet Until Current
SeahawksTNF Rams O 44.3 $5 $0 U 42.7 43.4 $0

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Preview how I turn stats into useful reasoning! The pros-and-cons lists have extracted statistical drivers from key data. This can supplement your kicker choices, no matter what rankings you use!

Even if you're not subscribed for our full ordered rankings, we provide the following pros-and-cons list for all kickers. The reasonings are based on statistical drivers extracted from key data, so the explanations can give you insight into why a kicker is ranked where it is. Regardless of whose kicker rankings you use each week, this should help you make a better informed decision.

Pros Cons
Jake Bates DET vs. PIT
  • most points expected acc. betting lines
  • 2nd least turnovers
  • 3rd most unbalanced matchup
  • 9th least possessions allowed by opponent
Ka'imi Fairbairn HOU vs. LV
  • 4th most points expected acc. betting lines
  • dome or low wind speed
  • 9th most unbalanced matchup
  • 8th lowest accuracy

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D/ST scores are crowd-sourced from your votes, in the D/ST Pick6x6 contest.

D/ST based on votes

Week 16

Texans * vs. LV

10.1

Bills * @ CLE

9.4

Saints * @ TEN

8.9

Chiefs * vs. NYJ

8.7

Vikings * vs. KC

8.6

Broncos * vs. LAR

8.4
* Indicates Pick 6x6 crowd-sourced projection.
View Full Projections

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Score expectations for all 32 teams, trained to account for all team aspects on both sides of the ball. QBs, D/STs, and Kickers.

Quarterback

Week 16

Jalen Hurts | PHI

21.7

Josh Allen | BUF

20.9

Jared Goff | DET

19.6

Bo Nix | DEN

19.2

Justin Herbert | LAC

18.6

Joe Burrow | CIN

18.5
View Full Projections

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This is the most useful way to think about your kicker’s opportunities! Get unique insight to each kicker’s volumes and likely field positions.

Ka'imi Fairbairn

  • More kicking opportunities overall, at all distances.
  • Less likely to take long kicks, despite drives stopping upfield.
  • Bolstered by a floor of RZ opportunities.

How to read this chart

It’s not only the projection that matters! It’s key to consider the range of possible outcomes. My algorithms search for the most similar historical matches and show you what actually happened.

Texans Similar historical matchups

Matchup Year Wk Result
Similar Cowboys vs Giants 2023 10 11
Similar Steelers @ Bengals 2020 15 4
Boom Vikings vs Commanders 2019 8 13
Bust Steelers @ Bengals 2020 15 4

Specialized advice for Survivor, based on my own game score models—and my own optimization algorithm. Covers 3 surviving pathways all season!

Path 3A

Week Team
1 PHI
2 SF
3 SEA
4 HOU
5 DET
6 IND
7 GB
8 KC
9 LAC
10 DEN
11 NE
12 BAL
13 MIA
14 LAR
15 JAC
16 BUF
17 NO
Longevity 1.3

Path 3B

Week Team
1 PHI
2 SF
3 SEA
4 HOU
5 DET
6 IND
7 GB
8 KC
9 LAC
10 DEN
11 NE
12 BAL
13 MIA
14 LAR
15 JAC
16 NO
17 TB
Longevity 1.3