Running backs · 2013
San Diego
The public metric pointed in the opposite direction.
The Algorithm Since 2007
The Numbers
Everyone Else Uses
Are Lying to You
Fantasy Points Per Game and Fantasy Points Against don't adjust for opponent strength. FantasyOmatic does. That single insight has made us up to 46% more accurate than traditional metrics over 13+ NFL seasons.1
Truth Engine
Raw stats hide the truth
Opponent quality changes what every box score means. Replay four moments when the public metric and the adjusted model reached materially different conclusions.
“Pittsburgh's pass defense is bottom five in net yards per attempt, but they've faced the murderer's row of Justin Fields, Sam Darnold, and Drake Maye.”
Pittsburgh looks terrible on paper. But they faced weak QBs. New England's defense looks even worse — yet they faced Geno Smith, Tua, and Aaron Rodgers, and still held Rodgers to 139 yards on 23 attempts. The raw numbers tell opposite stories from reality.
What Sigmund does manually, FantasyOmatic's algorithm does systematically — for every defense, every player, every week, automatically.
Running backs · 2014
New Orleans
Opponent strength revealed danger hidden in the middle.
Quarterbacks · 2013
Matthew Stafford
A soft schedule had inflated the raw ranking.
Quarterbacks · 2013
Tony Romo
The production was more opponent-dependent than it looked.
The model, now
M.Willis
Start with neutral talent. Then account for this opponent, this venue, this surface, and this injury context.
Historical replay
San Diego
Traditional read
Top-12 toughest by FPA
Opponent-adjusted
11th-easiest matchup
The public metric pointed in the opposite direction.
Method
Three ratings. One truth.
FantasyOmatic decomposes every fantasy performance into its component parts, adjusted for opponent strength.
Player Rating
0–100
What a player would score against a neutral defense. Talent isolated from circumstance.
Defense Rating
0–100
How tough a defense actually is, adjusted for the quality of players they've faced.
Matchup Rating
+/−
Player meets Defense. Positive = favorable. Negative = danger. Your weekly edge.
01Neutral talent
02Opponent
03Efficiency
04Venue + surface
05Injury context
Proof
One scale. Every position.
Most sites rank players within their position. We rate them on a single 0–100 scale that works across positions.
QB
92
Lamar JacksonWR
88
CeeDee LambTE
78
Sam LaPortaA QB rated 92 and a WR rated 88 are directly comparable. This makes trade analysis, flex decisions, and draft strategy quantitative instead of subjective.
“All you have to do is pick the higher rating. That's it. The math is no more difficult than comparing prices at the supermarket.”
Track Record
Results speak louder than claims
FantasyOmatic has been independently measured against every major platform since 2012.
- 2007
Algorithm Created
First platform to bring machine learning to fantasy football.
- 2009–12
3 of 4 Super Bowl Winners Predicted
The predictive game model outperformed many big data companies right out of the gate.
- 2012
12th Most Accurate in the Industry
First accuracy contest entry — beat ESPN.com, NFL.com, and CBS.com.
- 2014
NFL.com 'Number Crunch' Column
Weekly guest contributor to NFL.com/Fantasy, bringing algorithmic analysis to the mainstream.
- 2019
FantasyPros Top 10 & Most Accurate Expert
Recognized among the most accurate sources in the industry.
- 2020
FantasyPros Top 5 Most Accurate
Peak accuracy ranking — top 5 among all fantasy football sites.
- 2022
Most Accurate Expert (Again)
Second FantasyPros Most Accurate Expert recognition.
- 2023
First Fantasy Sports ChatGPT Plugin
Pioneered conversational AI access to real-time algorithmic fantasy data.
- 2023
Academic Validation
Co-presented 'AI Interactions with Sports Data' at the Midwest Sports Analytics Meeting with Dr. Michael Schuckers.
Industry Validation
Algorithm vs. opinions
Every major platform relies on human expert panels, star systems, or consensus aggregation. FantasyOmatic is pure machine learning.
ESPN / CBS / Yahoo
Expert human opinions and editorial panels
100% machine learning, no human bias
FantasyPros
Aggregates consensus from 100+ experts
Single algorithm, independently ranked among those experts
Every Platform
Position-only rankings (QB #5, WR #8)
Cross-position 0–100 scale for true comparisons
Traditional Metrics
Fantasy Points Against (raw, unadjusted)
Opponent-strength adjusted defense ratings
As Seen On
Trusted by the industry
NFL.comGuest Columnist2014–15
Sirius XMRadio HostFantasy Sports Radio
FantasyProsMost Accurate Expert2019, 2022
MSAMAcademic Presenter2023
Documentary
The work behind the numbers
A closer look at the question, process, and machine-learning system behind FantasyOmatic.
Feature documentary
Building a winning fantasy team on data, not luck
The story of how one matchup question grew into the machine-learning system behind FantasyOmatic's ratings.
Documentary transcript
The captioned film covers Chris Ippolite's path from a fantasy-football question to a matchup-adjusted model, the system's independent accuracy record, and the data workflow behind the product.
“We are a small team but making a big impact on the industry.”
Built in Green Bay by a football obsessive who found a flaw in the math everyone else was using. Powered by machine learning since 2007. Now enhanced with AI that speaks the language of the algorithm fluently.
46%
More accurate than FPPG
13+
NFL seasons of data
Top 5
FantasyPros accuracy
2007
ML in fantasy football