This feed cannot update a public-betting percentage guide because it contains no public-betting percentages. There is no ticket share, no money share, no book count, no timestamped line, and no movement tied to a crowd split. The analysis stops before it can identify the crowd, much less fade it.
That may sound obvious, but the previous copy tried to fill the hole with unrelated football numbers. Real statistics do not become relevant merely because they are cited. A public-betting read requires a specific type of evidence: who is betting which side, when the price was captured, and what the line did while that action arrived.
A betting split is a paired observation
Public percentage is useful only when it is tied to a market and a moment. Ticket share can show how many bets landed on each side. Money share can show where more dollars landed. The line history shows whether the market moved with that pressure, against it, or not at all. Remove any piece and the interpretation gets weaker.
A lone percentage without a timestamp can be stale. A ticket split without money share can mistake many small bets for the dominant position. A split without line movement cannot support a reverse-line-movement claim. A line without the split says nothing about which side the public chose.
The public betting percentage guide explains the framework. This dated rebuild asks a narrower question: did the supplied rows contain the data needed to apply it? They did not.
The source rows describe players, not bettors
The payload does preserve two supported football notes. Christian McCaffrey is described as fantasy’s top scorer after matching a career high with 413 touches . Jack Campbell is described as finishing second in the league with 176 tackles and adding five sacks .
Those facts belong in player analysis. They cannot tell us what share of tickets backed a side, what share of money opposed it, how many books contributed, or whether a spread moved. Using them as proof that the betting crowd agreed or disagreed would be a category error.
The right editorial move is to keep the facts and reject the inference. McCaffrey’s workload may matter to a projection when a current game is modeled. Campbell’s production may matter to defensive expectations. Neither row is a public-betting feed.
“No percentage” is different from “balanced action”
An absent split must not be translated into an even split. Missing data and balanced betting are different states. Balanced betting is an observation about real tickets or money. Missing data says the observation was never supplied.
The same applies to line movement. No line history in the payload does not mean the line stayed still. It means this article cannot say whether it moved. Honest betting analysis protects those distinctions because each state leads to a different decision.
The sharp-versus-public guide is useful once the split exists. The closing-line value guide is useful once timestamped prices exist. Neither can conjure the missing rows.
What a publishable crowd read needs
A complete record should identify the event, market, side, book or aggregation source, capture time, ticket share, money share, current line, and earlier line. It should also explain whether the figures represent one operator or a broader sample. Without that provenance, a “public side” label can hide more than it reveals.
Once those rows exist, the analyst can ask sharper questions. Is the money share materially different from the ticket share? Did the line move toward the popular side? Did it move the other way? Was the move visible across books or isolated to one screen? Those are observations. Calling the movement “sharp” still requires caution unless the source can support who placed the bets.
This source set contains none of those market fields. It also contains no graded ATS record for fading popular sides. Any trend claim would need its win-loss record, ATS percentage, evaluation window, and sample size. Without those fields, a historical system should be cut rather than implied.
Why a fabricated percentage is especially dangerous
A made-up spread is bad. A made-up betting percentage is worse in a different way: it pretends to summarize thousands of decisions that never entered the data. The number looks authoritative because it resembles a feed, and the reader has almost no way to challenge it from the page.
This rebuild therefore avoids illustrative percentages on the user surface. The framework can be described without inventing a crowd. When real split rows arrive, the article can quote them with source references and explain their limits.
Aggregation source also changes the meaning. One operator’s customers may not resemble the broader market, and an average across books can hide different update times or definitions. A serious page should say whether the split measures tickets, handle, accounts, or another denominator, and whether the books report those fields consistently.
The interpretation should remain modest even then. A lopsided split can describe attention without identifying informed money. A line that resists the crowd can have several explanations, including stale reporting or offsetting action elsewhere. The data can show the pattern; it rarely proves the identity of the bettors behind it.
The guide reopens when the crowd is observable
The cure is concrete: attach timestamped ticket share, money share, book coverage, and line history for the same market. Then the page can identify what the public did and whether the price responded.
Until then, the picks pages should not inherit a public label from this payload, and the track record has no new crowd-based call to grade. The source rows still tell us about two players. They do not tell us about the betting public. That honest boundary is the rebuild. It preserves the supported football notes while refusing to label action as neutral or balanced without a real sportsbook, a stated capture window, and a defined market. The crowd becomes publishable only when those fields arrive together for the same event, market, and capture time.
Expected value from graded outcomes
Expected-value cells render only when a verified source binds observed win outcomes to the price paid for the same bets.
Breakeven win rate at recorded American prices
Breakeven probability is calculated only from American prices that were actually captured in the odds-history table.
