
Your users already tell you what they bet. Moddy tells them how it stacks up.
When a user logs a bet on a covered market, show the model’s probability next to the one implied by consensus odds. Markets we don’t cover simply show no signal.
Put a user’s tracked record beside the record of Moddy models on the same markets, graded the same way.
A live board of ranked picks with written analysis, plus warnings for conflicting picks, picks that hinge on one idea, and steep prices.
Notify users when a prediction on a game they follow becomes a pick, or when its edge fades.
You set the lines. Moddy gives your team a second set of eyes, and your users a ticket worth reading.
Your users build multi-pick entries. Moddy builds a multi-leg ticket and a safer alternative from the board’s picks, each with why the legs fit and what could sink it. Your own payout rules still apply.
Each model’s projected stat line for player props, the number fantasy players build lineups around.
What’s shaping the slate, such as an ace-heavy pitching night or one weather system over several parks, as a card or push that brings users in.
Your traders and product people build models on their own angles: a check on your lines, a way to test ideas before they ship. Private to you.
Probability is your product. Moddy gives your users a model’s view of it.
Show a model’s probability next to the market’s, with its graded record showing how much weight it has earned.
Written analysis explains what’s moving a game in plain English.
Your platform runs on creators’ credibility. Moddy gives them tools and gives your users proof.
Every model built on Moddy is graded on live results: record, closing-line value, and calibration, never backtests. It covers picks from models built on Moddy, not picks a creator makes by hand.
Each creator builds models in their own private Lab, under their own name, without code. Usage and billing roll up into one platform account.
A creator’s models feed their own ranked board, with written analysis in their voice, ready to send to subscribers.
Ship betting content in your voice without staffing every game.
Written analysis of the slate, top picks, and a daily parlay as newsletter sections, articles, and social posts, refreshed as news breaks. It covers the whole slate rather than one article per game.
A board module on your site that re-ranks and re-briefs itself through game time.
Content arrives structured, so your team can review, edit, and add its own AI disclosure before publishing.
If you choose, a graded record shows your audience how the picks you publish perform.
Your customers buy stats and odds. Add predictions to the feed.
Side, probability, and strength for every game and market we cover, refreshed every prediction run, in a structured feed you can add to your catalog.
Projected stat lines for player props, the numbers fantasy and props products build around.
Every pick is graded on live results, so your customers can judge the models for themselves.
{
"sport": "NFL",
"player": { "name": "Tyler Shough" },
"outcomeId": "ocm.passing_yards",
"betAction": "bet_over",
"point": 249.5,
"odds": 132,
"pick": "normal",
"snapshots": { "latest": {
"prediction": 255.3,
"probability": 0.511,
"expectedValue": 0.185
} }
}Every use case above is built from these pieces.
One model’s call on one game or market: which side it likes, how likely it thinks that outcome is, and how strongly it leans. Refreshed every prediction run.
Signals · LabsThe line and price a bettor can get at half or more of the sportsbooks we track. Every prediction is set against it.
Signals · LabsA prediction that shows enough value against consensus odds to bet, rated normal or strong. Predictions with no edge stay on the record.
Signals · LabsA model’s projected stat line for a player prop, such as 255 passing yards, the number fantasy and props products build around.
Signals · LabsA ranked list of picks set up for your audience: the sports and markets you cover, how many picks you show, and how they’re ranked. Re-ranked every prediction run.
Signals · LabsA short written briefing on the pattern across the whole slate: where the board is leaning, and why.
Signals · LabsThe top picks on the board, each broken down: the case for it and what you should know before betting it.
Signals · LabsWarnings across the board: picks that conflict, picks that all hinge on one idea, and steep prices.
Signals · LabsA multi-leg ticket built from the board’s picks, with why each leg fits, what could sink it, and a safer alternative.
Signals · LabsEvery pick graded on live results once it settles: record, return, closing-line value, and calibration. Never backtests.
Signals · LabsA private workspace where your team builds, tests, and runs its own models with no code. Every person gets a seat.
LabsHow everything above reaches your product: one connection for predictions, boards, briefings, and performance data.
Signals · Labs




Sports prediction models without the data science overhead.