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Retired August 12, 2026

Signal v1.0 is retired. The record below measured a pricing bug, not an edge.

86% of the plays on this page were priced on derived exchange quotes that were not actually obtainable. The exchange publishes both sides of a market as real offers; our code priced one side off the other side's book, which returns a number better than anything you could have bet. The correction is written up in full on the methodology page, and the whole investigation is published as the exchange price autopsy, which found that 19 percent of quoted exchange prop sides were derived rather than obtainable, including how the signal's own selection came to rest on those prices 99.2 percent of the time.

Repriced at the measured corrections, this record's +7.59% becomes -3.46%, and the top tier's +10.42% becomes -2.50%.

Zero dollars were ever staked on any of it, and nothing was ever sold. The page stays published, unchanged below, because a hash chain only means something if the embarrassing records stay up too.

SlicePlaysAs published RepricedWhat it is
Whole record 8691 +7.59% -3.46% Every graded play below, excluding daily fantasy legs.
Strong tier 5636 +10.42% -2.50% The tier the pre-declared gate was written about. 98.2% of it was priced at the one affected venue.
Never priced at that venue 1179 +1.18% unchanged The plays the bug could not reach. Not proof of anything either: the fair line they were scored against was still dragged by the bad quotes, and its Strong tier is 100 plays.

Method, in one sentence: every play priced at the affected venue is moved by 7.9 points of implied probability, the measured median gap between a derived quote and the price that side's own order book actually filled a $100 bet at, with the win and loss sequence left exactly as it happened. Break-even sat at about 5.1 points, below the measured median. These numbers are transcribed from the audit rather than recomputed here, because the correction was measured against raw order books and cannot be rebuilt from this ledger. Full working, including the per-venue verdicts and the counts behind the 7.9: The Odds Gap LLC/Exchange Price Reality Audit - ProphetX Derived Prices (Aug 2026).md in the repo.

The more honest counterfactual is not "the same plays at worse prices". At the real price most of these plays would never have been flagged at all, because the edge that flagged them was the pricing error. The repriced column is the generous reading.

Every Play The Signal Scored, Published

Wins, losses, and the plays it rated badly. Everything below is the historical v1.0 record exactly as it was published, kept up after retirement rather than quietly taken down. The ruleset stayed frozen the whole way through, which is the only reason we can say the scoring never moved and the prices underneath it were wrong.

Ruleset v1.0, retired August 12, 2026 Window 2026-07-25 to 2026-08-12 Graded 8897 over 19 play dates Repriced return -3.46% Real money staked $0 Hash chain intact, 24 links

What This Page Is Not

Nothing here was ever staked. Every number below is paper: the price we flagged, at the book we flagged it, graded against the real result. We wrote at the time that paper never gets a worse price than the one it quoted, and treated that as a mild caveat. It was the whole problem. On 86% of these plays the quoted price did not exist at any size.

Real money at flat stakes was the declared next stage. It was canceled before the first wager. Nothing was ever sold off the back of this record and nothing ever will be. Math, not picks: this is where the same bet paid more, never advice on what to bet.

The Gate, As Declared And As It Read At Retirement

Historical. The bar was written down before the window opened, which is the only time a bar is worth anything, and it lives in the code that computes this table, so the page cannot quote one number and the test another. What it could not check is whether the prices feeding it were real, and they were not. Read every "Yes" below as "yes, on paper, at prices nobody could get".

ConditionDeclaredMetResult
Graded plays 400 8897 Yes
Distinct play dates 14 19 Yes
Top tier's 95% interval clear of zero Entirely above 0% 6.3% to 14.2% Yes
Top tier beats the bottom tier Above 0 points 8.17 points Yes

Verdict as it stood on August 12, 2026, now void: PASSES so far: the top tier's return is above zero with its clustered 95% interval clear of zero, and it still beats the bottom tier on plays the config never saw.

Why it is void. The gate asks whether the top tier's return clears zero with its interval intact. It never asked whether the entry prices existed, and 98.2% of the top tier was priced at the one venue where they did not. Repriced, that tier returns -2.50%. A gate passed on prices nobody could take is not a gate passed. It is left on the page, with its old answer intact, because deleting the row would hide the thing worth learning: every condition here was satisfiable by a bug, and none of them was a check on the data underneath.

Intervals resample whole play dates rather than individual plays, because a slate's plays share games, players and books, and a per-play interval is materially too narrow. A positive point estimate whose interval straddles zero is not evidence of an edge.

Correction, August 11, 2026, from a reader on r/algobetting: with fewer than about 30 clusters, and this record has 19 play dates, the ordinary clustered interval runs too narrow and rejects a true null more often than its 5% label claims. Every interval on this page is now a wild cluster bootstrap with sign flips, which is the correction for a small number of clusters. The old, narrower interval is still shown beside it (top tier, old method: 6.9% to 13.44%), because swapping quietly to whichever number reads better is exactly the behaviour this page exists to make impossible. The gate still passes under the wider interval. As the record accumulates more play dates the two methods converge on their own. Daily fantasy pick'em legs are excluded from every number on this page: they carry no American price, so scoring them flat is a win-rate proxy and not a return. 8170 such legs were logged and set aside.

One difference worth naming so the arithmetic checks out. This table is the gate exactly as it was declared, and the declared version pools props and game lines inside each tier. The props table below is props only, which is the surface we actually claim, so its tier returns and the gap between them will not match this row to the decimal. Both are shown rather than reconciled into whichever reads better.

Player Props, Every Tier

Props were the surface we claimed. Flat one unit per play, losses included, no filtering by market, book or league. Sub-cutoff plays ("Lean") are published for the same reason the top tier is: a score that cannot separate them is not a score. Every return in this table is at the price we published, so read all of them against the repriced figures at the top of the page: on 86.4% of these plays that price was not obtainable.

TierGradedRecordReturn 95% intervalWin rate Win rate 95%SortinoUnits
strong 5763 3938-1825 +10.25% 6.9 to 13.44 68.33% 67.12 to 69.52 0.182 +590.70
solid 1065 677-388 +2.70% -2.93 to 8.04 63.57% 60.63 to 66.4 0.045 +28.77
lean 1742 1185-557 +3.94% 1.02 to 6.8 68.03% 65.8 to 70.17 0.07 +68.56
All props 8570 5800-2770 +8.03% 5.79 to 10.25 67.68% 66.68 to 68.66 0.141 +688.02

Sortino is the mean unit return divided by the downside deviation, the raw ratio with no annualization, because annualizing a bet ledger implies a holding period that does not exist. Read it as return per unit of downside and only alongside the count next to it. 325 plays are still pending and 605 settled with no usable stat feed; neither is counted in any return above.

Does A Higher Score Actually Pay More

Return by score band, on graded props. This is the chart that answers the question, and the sentence under it is written by the page from the live numbers rather than typed by us.

0-10
+2.35% n=116
10-20
+1.98% n=757
20-30
+5.09% n=851
30-40
+4.99% n=687
40-50
+1.41% n=666
50-60
+10.72% n=968
60-70
+10.42% n=1037
70-80
+10.13% n=1382
80-90
+10.20% n=1007
90-100
+11.73% n=1099

As of today, higher scores are outperforming lower ones. The highest populated band (90-100, n=1099) returns 11.73% and the lowest (0-10, n=116) returns 2.35%, a spread of 9.38 points, and 4 of 9 adjacent steps move in the right direction. A flat or negative spread would mean the score is noise, and this sentence is written by the page from the live numbers, so it will say that on the day it is true.

Closing Line Value, Split Into Its Two Halves

A single closing-line-value number blends two unrelated things, and the blend flatters the score. We publish the split instead, because anyone can run this decomposition on our own data and we would rather it came from us.

Published, Combined
+3.49pp
Our entry price against the market's de-vigged fair price at close. This is the number closing-line value normally means, over 8570 graded props.
Did The Market Agree With Us
-0.07pp
How far the market's own fair price moved toward our side after we flagged it. This is the only half a confidence score can take credit for.
Did Shopping Beat The Close
+3.56pp
How much better our price already was than the market's fair price at the moment we took it. This is line shopping across twenty books, not the score.

The two halves add to the published figure exactly, with no residual, because the combined number is the closing fair minus our price and inserting the fair at flag time splits it in two. On the record as it stands, essentially all of it is the second half. The market moved -0.07 points toward our side on average, which is nothing, and our price was +3.56 points better than the market when we took it, which is everything.

Said plainly: our closing-line value is the product working, not the score predicting. That does not undo the returns in the table above, which are realized results and not a closing-price proxy, but anyone quoting our closing-line value as evidence the score is sharp is quoting the wrong number, and now they can see which one.

A stricter second reading is accruing: our entry price against the flagged book's own closing number, and against the best number available anywhere at close. That needs the whole price ladder captured at close, which nothing stored until this deploy, so it fills forward from here and is not backfilled. Reconstructing it for older plays would mean inventing closing prices we never recorded. So far, over 1136 plays: +2.50pp against the flagged book's own close and +2.36pp against the best close anywhere.

Where This Record Is Weak

These are not footnotes. Anyone deciding whether to trust the record will find them, and a record that makes you hunt for them has already lost the argument it exists to win.

The entry prices were not obtainable, and that is the one that ended it. Found August 12, 2026. 86.4% of the graded plays here were priced at a single exchange, and on that venue we derived a side's price from the opposite side's order book. Both of its books are real offers funded by traders who want the other side, so they always sum above 100%, and mirroring one into the other returns a price better than anything bettable by the full width of the book. Measured against raw order books: 49 of 49 affected sides were quoted better than the price their own book actually filled at, median 7.9 points, no exceptions. Everything below this box was computed correctly on numbers that were wrong before the scoring ever saw them.

The middle of the ladder is not proven. Solid returns +2.70% while Lean, the tier below it, returns +3.94%. That is the wrong way round. Solid's 95% interval is -2.93 to 8.04, which includes zero, so the honest reading is that the middle tier has not demonstrated anything yet. Only the top tier clears the bar. Treat Solid as unproven, not as a weaker version of Strong. Only 4 of 9 adjacent score bands step in the right direction, so the ladder is not smooth even where the ends separate.

The top tier fires far too often. Strong is 67.2% of every graded prop. It was calibrated to be the top fifth or so of plays, and a badge that lands on two thirds of the board is not selecting much. The cause is understood and structural: the score saturates, so a large enough edge pins the scale near the top and everything above that point is indistinguishable. This is documented as v2 research, and it is deliberately not being fixed inside v1.0. Fixing a saturating score after seeing which plays won is how a record stops meaning anything.

Player prop grading for one league went dark for two weeks. Between 2026-07-22 to 2026-08-05, WNBA player props stopped receiving results while the other league graded nightly, because a scoreboard lookup was silently failing and three layers of error handling each swallowed it politely. It was found and fixed, and the affected plays were regraded from the real historical box scores rather than estimated or dropped: 401 of 424 plays in that window now carry a real result, with 23 genuinely ungradeable (players who did not appear, markets with no matching stat). Recovering a result is not rescoring: no score, tier or ruleset value was touched. A nightly data-level check now watches for the same shape of silence, and it fails on any league-day where every play is still ungraded long after the games finished, whatever the cause turns out to be next time.

Game lines are not a claim. They are logged so the record exists either way, and they are reported below on their own, never blended into the prop numbers. We do not claim an edge on game lines.

Game Lines, Logged And Unproven

Moneylines, spreads and totals. Shown for completeness with no return headline, because the sample is thin and we make no claim here.

GradedRecordUnitsReturn95% intervalCombined CLVMarket moveShopping
330 173-154-3 -25.44 -7.71% -27.16 to 10.71 +1.21pp -0.24pp +1.44pp

The Forward Test, Canceled Before Its First Stake

Stage one was going to ask one question: does real return track paper return on the same plays. It never ran. It was canceled on August 12, 2026 with zero wagers placed and zero dollars staked, and what follows is the design as it was declared, kept for the record.

Canceled August 12, 2026, before the first stake. The slates it was about to place were built from the same derived exchange prices this page is retired over. The first one generated, on August 11, was full of prices that were not there, and the fix at the time was a re-verification step: re-check each play against the live board and drop it if the price had moved or the money behind it had gone. That step was checking the board against itself. The board's own depth figure for an affected side was computed from the opposite side's money, so the guard passed hardest on exactly the plays that were phantom. Staking real money against that would have been paying to discover it.

Nothing about the cancellation is a result. Stage 1 did not fail, it did not run. There is no real-versus-paper number here and there will never be one for v1.0. A future stage 1 belongs to a different ruleset, priced off books that have been reconciled against the venue's own screen first.

The design as declared, for the record:

Top 5 by score among Solid and Strong props flagged by 7:45 ET, ties by earliest flag then id, each one re-checked against the live board at that moment and replaced by the next play down if the price has moved more than 2.0 points or the money behind it has gone. No discretion. Stake is $5 flat per play with no exceptions and no staking scheme. Before each play's game start. Achieved price logged against flagged price on every wager. A play that cannot be placed in time is logged as missed, and one at a book without an account is logged as inaccessible, so plays that quietly vanish cannot look like plays that never qualified. Target is 300 graded staked plays.

Success criterion, set before the first stake and never applied: Realized ROI above 0% at 300 placed plays. Hard fail if the clustered 95% interval sits entirely below zero at any point after 100 placed plays; anything between extends in 100-play blocks. Declared before the first stake, superseding the original inside-the-paper-interval test, which a power calculation showed would fail a perfect signal about 40% of the time. Publishes either way.

What 300 plays can and cannot prove, stated up front so the criterion could not be graded on a curve later: at 300 flat-stake plays, realized return carries about 8.5 points of its own noise either way. If the true edge matches the paper record (+10%), the floor passes about 99 times in 100. If the edge is actually zero, it passes about half the time. If the edge is negative, it almost never passes. Telling +10% apart from +5% would take roughly 1,400 plays. This test is a smoke alarm for a dead or imaginary edge, not a thermometer for its exact size, and it is the strongest claim 300 plays can honestly support.

Amended on August 11, 2026, before any stake was placed: the first slate we generated was full of prices that no longer existed, and we read that as overnight staleness, plays flagged against orders in exchange prop books that empty out by morning. Each play was then re-checked against the live board when the slate froze, and one whose price had moved more than 2.0 points, or had less than $25 still resting behind it, was dropped and replaced by the next play down. That amendment was the right instinct pointed at the wrong cause, and it is the reason this section is a cancellation and not a result. The prices were not going stale. They had never been available, and the depth figure the guard checked was itself computed from the wrong side's money, so a phantom cleared the check more easily than a real price did. One day later the raw order books said so plainly.

The criterion above replaced the originally declared test (real return landing inside the paper record's interval) on August 11, 2026, before any stake was placed. The original test was withdrawn because the same power arithmetic showed it would fail a genuinely good signal about 40% of the time: the paper interval is narrow because it comes from thousands of plays, and 300 real plays are noisier than that band by construction. Changing a criterion after staking begins would be unacceptable; changing it before, in public, with the arithmetic shown, is the correction working as intended.

Final state: 0 placed, 0 graded, $0.00 staked. The daily slate email that fed this stage is switched off. It has not been deleted, so it can be turned back on the day a stage 1 exists again, on a ruleset whose prices have been checked against the venue's own screen first.

Provenance

What produced these numbers, and how you can check that it has not been quietly changed since. Full explainer and a script you can run: how to verify this record.

The scoring rules are sealed as v1.0. The seal is bound to a fingerprint of every value that can move a score: the tunable thresholds, the daily caps, the switches that decide which venues price a market, the price and de-vig code, and the list of books allowed to produce a flagged play. A tripwire re-checks that fingerprint on every boot and once per scan. If any of it moves, a new entry is written, the label stops being applied, and the change appears in the table below. The label follows the fingerprint, so it cannot be carried onto a changed ruleset by anyone editing a file.

The live configuration no longer matches the seal. New plays are being logged unstamped until the change is reviewed and named, which is the intended behaviour: the label stops rather than following a moved ruleset. Plays flagged before the seal are deliberately left unstamped. They were scored by the same numbers, but they predate the label, and the entries below are what proves which configuration produced them.

The retirement did not move any of this. Retiring v1.0 is a label on the page, not an edit to the record: no row, interval, chain link or scoring value was changed on August 12, 2026. That matters more than it sounds. The claim being made here is that the scoring rules never moved and the prices underneath them were wrong, and that claim is only checkable because the fingerprint below can still be verified against what it was. A retirement that also quietly rewrote the ledger would prove nothing. The one price-path change that shipped with the fix appears in the history below as a normal entry, which is the tripwire working rather than an exception to it.

Ruleset history

RecordedStateVersionBuildWhat moved
2026-07-26 19:08:00 Superseded - 937f24857 First entry, or a change outside the watched values
2026-07-29 02:00:49 Superseded - 8f649f364 price_code_hash: None -> c0cc311430a2712f
2026-07-30 23:41:33 Superseded - 6ed07dff5 price_code_hash: c0cc311430a2712f -> fe5538a61eefdab8
2026-08-05 14:49:27 Superseded - eaafda490 KALSHI_CONSENSUS_MIN_BOOKS: absent -> 3; KALSHI_CONSENSUS_STRONG_DEVIATION_PP: absent -> 9.0; KALSHI_MIN_VOLUME: absent -> 4000; MIN_EXCHANGE_FILL_USD: absent -> 100.0; NOVIG_ENABLED: absent -> True; PM_CONSENSUS_MAX_DEVIATION_PP: absent -> 12.0; PROPHETX_ENABLED: absent -> True; SIGNAL_DAILY_CAP_DFS: absent -> 600; SIGNAL_PLATFORM_AWARE: absent -> True; SIGNAL_REGRADE_LOOKBACK_DAYS: absent -> 21; price_code_hash: fe5538a61eefdab8 -> 9bacbb2ce3d86b80
2026-08-07 23:39:27 Superseded - 2471d9f7f POLYMARKET_US_ENABLED: absent -> True
2026-08-10 00:47:23 Superseded v1.0 617038da6 _SIGNAL_EXCLUDE_BOOKS: absent -> ['betonlineag', 'bovada', 'fliff', 'kalshi', 'lowvig', 'mybookieag', 'pinnacle', 'polymarket', 'polymarket_us']
2026-08-12 15:29:26 Active - 4c409fb4f PROPHETX_PUBLISH_DERIVED: absent -> False; price_code_hash: 9bacbb2ce3d86b80 -> 976fb8c16f987f55

Some entries record the tripwire widening its own coverage rather than the ruleset changing: when a value that could always have moved a score starts being watched for the first time, it reads as "absent" before and a real value after, which is a change in what we monitor and not in what we compute.

Hash chain

Every settled play date is serialized in a fixed, published format, hashed, and chained to the previous day's hash. The chain is mirrored to a public location outside our database, so the timestamps are not ours to rewrite. Change one graded result after the fact and that day's hash moves, every link after it fails to reproduce, and the break names the exact date. A chain cannot prevent an edit. It makes an edit impossible to hide, which is the claim we are actually making.

Chain starts 2026-07-25, 24 links, current tip edea71d254f039800fc2510fc2026b462a910f838b17a4cbe0059fca11292360, status intact. 8 day(s) were amended after sealing, each as a new link with the earlier one left in place: a late or corrected box score is legitimate, an invisible one is not.

Every Play

Download Full Dataset (CSV) Every row below, in the exact field order the hash chain verifies.

Newest first, 11624 plays in the window. Nothing here was filtered, removed or restated when the ruleset was retired: the rows, the prices and the results are byte for byte what they were, which is what the hash chain checks. The entry prices are the ones we published, and on most of these the exchange was not offering them.

Flagged (ET)MatchupPlayBook EntryEntry fairClosing fair CLVScoreTierResultUnits
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Bryce Harper Under 2.5 Hits + Runs + RBIs ProphetX -120 56.22% 54.76% +0.21 30.7 solid win +0.833
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Bryce Eldridge Under 0.5 RBIs ProphetX -198 70.16% 71.27% +4.83 68.2 strong win +0.505
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Bryce Eldridge Under 0.5 Home Runs ProphetX -469 86.14% 86.09% +3.66 68.3 strong win +0.213
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Bryan Torres Under 0.5 RBIs ProphetX -230 73.57% 77.07% +7.37 71.2 strong win +0.435
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Bryan Torres Under 0.5 Home Runs ProphetX -837 91.64% 94.58% +5.25 23.8 lean win +0.119
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Bryan Torres Under 0.5 Hits ProphetX +153 41.60% 43.03% +3.50 38.1 solid win +1.530
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Bryan Torres Under 1.5 Hits + Runs + RBIs ProphetX -117 58.14% 61.13% +7.21 77.6 strong win +0.855
Aug 5, 6:00 AM ET Tampa Bay Rays @ Colorado Rockies Brett Sullivan Under 0.5 RBIs ProphetX -190 70.12% 72.69% +7.17 84.5 strong win +0.526
Aug 5, 6:00 AM ET Tampa Bay Rays @ Colorado Rockies Brett Sullivan Over 0.5 Hits ProphetX -135 62.14% 57.85% +0.40 86.2 strong loss -1.000
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians Brayan Rocchio Under 0.5 RBIs ProphetX -224 73.86% 75.07% +5.93 76.3 strong win +0.446
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Brandon Nimmo Under 0.5 RBIs ProphetX -153 64.78% 65.85% +5.38 79.1 strong loss -1.000
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Brandon Nimmo Under 0.5 Home Runs ProphetX -592 88.70% 88.25% +2.70 32.4 solid loss -1.000
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Brandon Nimmo Under 1.5 Hits + Runs + RBIs ProphetX +139 45.53% 45.43% +3.59 67.8 strong loss -1.000
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Brandon Marsh Under 0.5 RBIs ProphetX -139 61.65% 62.18% +4.02 64.1 strong win +0.719
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Brandon Marsh Under 0.5 Home Runs ProphetX -413 83.85% 85.19% +4.68 61.5 strong win +0.242
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Brandon Marsh Under 1.5 Hits + Runs + RBIs ProphetX +147 44.02% 40.99% +0.50 64.9 strong loss -1.000
Aug 5, 6:00 AM ET Chicago White Sox @ Boston Red Sox Braden Montgomery Under 0.5 Hits ProphetX +190 37.10% 38.58% +4.10 26.9 lean win +1.900
Aug 5, 6:00 AM ET Chicago White Sox @ Boston Red Sox Braden Montgomery Under 1.5 Hits + Runs + RBIs ProphetX -113 55.54% 56.97% +3.92 25.6 lean win +0.885
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians Bo Bichette Under 0.5 RBIs ProphetX -173 68.27% 67.63% +4.26 90.0 strong loss -1.000
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians Bo Bichette Under 0.5 Home Runs ProphetX -694 91.37% 92.68% +5.27 72.8 strong win +0.144
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians Bo Bichette Under 1.5 Hits ProphetX -173 67.01% 68.30% +4.93 66.8 strong win +0.578
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians Bo Bichette Under 1.5 Hits + Runs + RBIs ProphetX +126 45.53% 45.57% +1.32 23.6 lean loss -1.000
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Blaze Jordan Under 0.5 RBIs ProphetX -250 76.36% 74.24% +2.81 90.6 strong win +0.400
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Blaze Jordan Under 0.5 Home Runs ProphetX -918 93.57% 92.29% +2.11 62.4 strong win +0.109
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Blaze Jordan Under 0.5 Hits ProphetX +169 39.93% 38.98% +1.81 50.6 strong loss -1.000
Aug 5, 6:00 AM ET Los Angeles Dodgers @ Chicago Cubs Ben Rortvedt Under 0.5 Hits ProphetX +123 49.48% 50.00% +5.16 85.3 strong win +1.230
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ben Rice Under 0.5 RBIs ProphetX -147 63.43% 64.82% +5.31 72.0 strong win +0.680
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ben Rice Under 0.5 Home Runs Novig -344 81.89% 81.89% +4.41 45.5 solid win +0.291
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ben Rice Under 1.5 Hits + Runs + RBIs ProphetX +143 45.34% 45.53% +4.38 76.9 strong win +1.430
Aug 5, 6:00 AM ET Dallas Wings @ Washington Mystics Azzi Fudd Under 1.5 Rebounds ProphetX +125 48.11% 52.76% +8.32 67.4 strong win +1.250
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Austin Wynns Over 0.5 Hits ProphetX +129 49.44% 50.00% +6.33 93.3 strong clv only -
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Austin Wynns Over 0.5 Hits + Runs + RBIs ProphetX -106 55.83% 56.56% +5.10 80.3 strong clv only -
Aug 5, 6:00 AM ET Phoenix Mercury @ Atlanta Dream Angel Reese Under 30.5 Pts + Reb + Ast ProphetX +115 51.10% 48.92% +2.41 47.2 solid win +1.150
Aug 5, 6:00 AM ET Phoenix Mercury @ Atlanta Dream Angel Reese Under 2.5 Assists BetOnline -125 58.51% 55.80% +0.24 47.8 strong loss -1.000
Aug 5, 6:00 AM ET Los Angeles Dodgers @ Chicago Cubs Andy Pages Under 0.5 RBIs ProphetX -167 66.61% 66.13% +3.58 74.6 strong win +0.599
Aug 5, 6:00 AM ET Los Angeles Dodgers @ Chicago Cubs Andy Pages Under 0.5 Home Runs ProphetX -413 82.37% 82.98% +2.47 19.2 lean win +0.242
Aug 5, 6:00 AM ET Los Angeles Dodgers @ Chicago Cubs Andy Pages Under 1.5 Hits + Runs + RBIs ProphetX +133 46.63% 45.92% +3.00 68.2 strong win +1.330
Aug 5, 6:00 AM ET Chicago White Sox @ Boston Red Sox Andruw Monasterio Under 0.5 Hits ProphetX +147 43.86% 37.10% -3.39 62.0 strong loss -1.000
Aug 5, 6:00 AM ET Chicago White Sox @ Boston Red Sox Andruw Monasterio Under 1.5 Hits + Runs + RBIs ProphetX -117 58.33% 52.24% -1.68 81.1 strong loss -1.000
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Andres Gimenez Under 0.5 RBIs ProphetX -291 79.50% 79.61% +5.19 93.3 strong win +0.344
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Andres Gimenez Under 0.5 Hits ProphetX +129 45.53% 48.19% +4.52 19.2 lean win +1.290
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Andres Gimenez Over 0.5 Hits + Runs + RBIs ProphetX +114 58.61% 57.62% +10.89 97.0 strong loss -1.000
Aug 5, 6:00 AM ET Phoenix Mercury @ Atlanta Dream Alyssa Thomas Under 8.5 Rebounds Hard Rock Bet -130 57.58% 56.32% -0.20 10.9 lean win +0.769
Aug 5, 6:00 AM ET Phoenix Mercury @ Atlanta Dream Allisha Gray Under 2.5 Assists ProphetX -117 57.46% 57.21% +3.29 65.1 strong loss -1.000
Aug 5, 6:00 AM ET Las Vegas Aces @ Indiana Fever Aliyah Boston Over 15.5 Points Novig +104 51.12% 53.05% +4.03 21.6 lean win +1.040
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ali Sanchez Under 0.5 RBIs ProphetX -291 77.94% 78.26% +3.84 64.7 strong win +0.344
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ali Sanchez Under 0.5 Hits ProphetX +123 48.44% 48.19% +3.35 66.1 strong win +1.230
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Ali Sanchez Under 0.5 Hits + Runs + RBIs ProphetX +172 39.85% 40.50% +3.74 56.6 strong win +1.720
Aug 5, 6:00 AM ET Los Angeles Dodgers @ Chicago Cubs Alex Bregman Under 1.5 Hits + Runs + RBIs ProphetX +110 48.77% 48.55% +0.93 21.1 lean loss -1.000
Aug 5, 6:00 AM ET San Francisco Giants @ Texas Rangers Alejandro Osuna Under 0.5 RBIs ProphetX -245 76.17% 76.81% +5.80 83.4 strong clv only -
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Alejandro Kirk Under 0.5 Home Runs ProphetX -755 93.02% 92.73% +4.43 86.7 strong win +0.132
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Alejandro Kirk Under 0.5 Hits ProphetX +184 37.92% 38.71% +3.50 49.8 strong win +1.840
Aug 5, 6:00 AM ET Toronto Blue Jays @ Houston Astros Alejandro Kirk Under 1.5 Hits + Runs + RBIs ProphetX -106 55.11% 55.54% +4.08 67.1 strong win +0.943
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Alec Burleson Under 0.5 RBIs ProphetX -135 61.65% 63.86% +6.41 77.2 strong win +0.741
Aug 5, 6:00 AM ET St. Louis Cardinals @ New York Yankees Alec Burleson Under 0.5 Home Runs ProphetX -362 82.18% 82.42% +4.07 39.4 solid win +0.276
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Alec Bohm Under 0.5 RBIs ProphetX -153 65.49% 61.97% +1.50 92.2 strong win +0.654
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Alec Bohm Under 0.5 Home Runs ProphetX -602 89.67% 88.34% +2.59 71.9 strong win +0.166
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Alec Bohm Under 1.5 Hits ProphetX -202 70.07% 67.98% +1.09 58.5 strong win +0.495
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Alec Bohm Under 1.5 Hits + Runs + RBIs ProphetX +149 43.44% 44.02% +3.86 60.3 strong loss -1.000
Aug 5, 6:00 AM ET Dallas Wings @ Washington Mystics Alanna Smith Under 4.5 Points Novig +120 47.68% 46.38% +0.93 40.9 solid loss -1.000
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Abimelec Ortiz Under 0.5 RBIs ProphetX -182 69.04% 72.11% +7.57 82.6 strong win +0.549
Aug 5, 6:00 AM ET Washington Nationals @ Philadelphia Phillies Abimelec Ortiz Under 0.5 Home Runs ProphetX -469 84.65% 85.68% +3.25 22.9 lean win +0.213
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians A.J. Ewing Under 0.5 RBIs ProphetX -219 72.60% 75.58% +6.93 72.5 strong win +0.457
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians A.J. Ewing Under 0.5 Home Runs ProphetX -694 90.16% 91.73% +4.32 50.6 strong win +0.144
Aug 5, 6:00 AM ET New York Mets @ Cleveland Guardians A.J. Ewing Under 1.5 Hits + Runs + RBIs ProphetX +143 45.53% 49.46% +8.31 80.5 strong win +1.430
Aug 4, 9:17 PM ET Caty McNally @ Linda Noskova Linda Noskova ML Hard Rock Bet -300 76.76% 77.04% +2.04 32.1 lean clv only -
Aug 4, 9:17 PM ET Detroit Tigers @ Seattle Mariners Seattle Mariners -1.5 Hard Rock Bet +190 35.52% 40.49% +6.01 15.7 lean loss -1.000
Aug 4, 9:17 PM ET Ravena Oliveira @ Juliana Miller Juliana Miller ML Hard Rock Bet -260 73.81% 76.33% +4.11 29.0 lean win +0.385
Aug 4, 9:17 PM ET Bruno Lopes @ Diyar Nurgozhay Diyar Nurgozhay ML Hard Rock Bet -145 60.39% 60.54% +1.36 21.9 lean win +0.690
Aug 4, 9:17 PM ET San Diego Padres @ Arizona Diamondbacks San Diego Padres -1.5 Hard Rock Bet +160 39.59% 43.73% +5.27 17.9 lean loss -1.000
Aug 4, 9:17 PM ET Boston College Eagles @ Cincinnati Bearcats Cincinnati Bearcats ML DraftKings -258 73.95% 73.65% +1.58 32.9 lean pending -
Aug 4, 9:17 PM ET Toledo Rockets @ Michigan State Spartans Michigan State Spartans ML DraftKings -395 80.92% 80.13% +0.33 19.5 lean pending -
Aug 4, 9:17 PM ET Dallas Cowboys @ New York Giants Dallas Cowboys ML theScore Bet -140 59.43% 59.49% +1.16 19.1 lean pending -
Aug 4, 9:17 PM ET New York Jets @ Tennessee Titans Tennessee Titans ML FanDuel -134 58.57% 58.67% +1.41 19.8 lean pending -
Aug 4, 9:17 PM ET Baltimore Ravens @ Indianapolis Colts Indianapolis Colts +3.5 FanDuel -105 52.25% 52.94% +1.72 14.9 lean pending -
Aug 4, 8:01 PM ET Boston College Eagles @ Cincinnati Bearcats Cincinnati Bearcats ML DraftKings -258 73.95% 73.65% +1.58 32.9 lean pending -
Aug 4, 8:01 PM ET Toledo Rockets @ Michigan State Spartans Michigan State Spartans ML DraftKings -395 80.92% 80.13% +0.33 19.5 lean pending -
Aug 4, 8:01 PM ET Dallas Cowboys @ New York Giants Dallas Cowboys ML theScore Bet -140 59.43% 59.49% +1.16 19.1 lean pending -
Aug 4, 8:01 PM ET New York Jets @ Tennessee Titans Tennessee Titans ML FanDuel -134 58.57% 58.67% +1.41 19.8 lean pending -
Aug 4, 8:01 PM ET Baltimore Ravens @ Indianapolis Colts Indianapolis Colts +3.5 FanDuel -105 52.25% 52.94% +1.72 14.9 lean pending -
Aug 4, 8:01 PM ET Caty McNally @ Linda Noskova Linda Noskova ML Hard Rock Bet -300 76.76% 77.04% +2.04 28.0 lean clv only -
Aug 4, 8:01 PM ET Ravena Oliveira @ Juliana Miller Juliana Miller ML Hard Rock Bet -260 73.81% 76.33% +4.11 29.0 lean win +0.385
Aug 4, 8:01 PM ET Bruno Lopes @ Diyar Nurgozhay Diyar Nurgozhay ML Hard Rock Bet -145 60.39% 60.54% +1.36 21.9 lean win +0.690
Aug 4, 7:00 PM ET Caty McNally @ Linda Noskova Linda Noskova ML Hard Rock Bet -300 76.76% 77.04% +2.04 28.0 lean clv only -
Aug 4, 7:00 PM ET Gabriel Diallo @ Luciano Darderi Gabriel Diallo ML Hard Rock Bet -145 60.23% 59.67% +0.49 19.2 lean clv only -
Aug 4, 7:00 PM ET Ravena Oliveira @ Juliana Miller Juliana Miller ML Hard Rock Bet -260 73.81% 76.33% +4.11 29.0 lean win +0.385
Aug 4, 7:00 PM ET Bruno Lopes @ Diyar Nurgozhay Diyar Nurgozhay ML Hard Rock Bet -145 60.39% 60.54% +1.36 21.9 lean win +0.690
Aug 4, 7:00 PM ET Boston College Eagles @ Cincinnati Bearcats Cincinnati Bearcats ML DraftKings -258 73.95% 73.65% +1.58 32.9 lean pending -
Aug 4, 7:00 PM ET Toledo Rockets @ Michigan State Spartans Michigan State Spartans ML DraftKings -395 80.92% 80.13% +0.33 19.5 lean pending -
Aug 4, 7:00 PM ET Dallas Cowboys @ New York Giants Dallas Cowboys ML theScore Bet -140 59.43% 59.49% +1.16 19.1 lean pending -
Aug 4, 7:00 PM ET New York Jets @ Tennessee Titans Tennessee Titans ML FanDuel -134 58.57% 58.67% +1.41 19.8 lean pending -
Aug 4, 7:00 PM ET Baltimore Ravens @ Indianapolis Colts Indianapolis Colts +3.5 FanDuel -105 52.25% 52.94% +1.72 14.9 lean pending -
Aug 4, 6:00 PM ET Caty McNally @ Linda Noskova Linda Noskova ML Hard Rock Bet -300 76.76% 77.04% +2.04 28.0 lean clv only -
Aug 4, 6:00 PM ET Katerina Siniakova @ Kamilla Rakhimova Katerina Siniakova ML BetRivers -150 64.14% 64.14% +0.00 50.1 lean clv only -
Aug 4, 6:00 PM ET Gabriel Diallo @ Luciano Darderi Gabriel Diallo ML DraftKings -128 58.67% 59.67% +3.53 44.0 lean clv only -
Aug 4, 6:00 PM ET Ravena Oliveira @ Juliana Miller Juliana Miller ML Hard Rock Bet -260 73.81% 76.33% +4.11 29.0 lean win +0.385
Aug 4, 6:00 PM ET Bruno Lopes @ Diyar Nurgozhay Diyar Nurgozhay ML Hard Rock Bet -145 60.39% 60.54% +1.36 21.9 lean win +0.690
Aug 4, 6:00 PM ET Boston College Eagles @ Cincinnati Bearcats Cincinnati Bearcats ML DraftKings -258 73.95% 73.65% +1.58 32.9 lean pending -
Aug 4, 6:00 PM ET Toledo Rockets @ Michigan State Spartans Michigan State Spartans ML DraftKings -395 80.92% 80.13% +0.33 19.5 lean pending -
Aug 4, 6:00 PM ET Sacramento State Hornets @ Eastern Michigan Eagles Eastern Michigan Eagles ML DraftKings -245 75.46% 75.46% +4.45 61.8 lean pending -
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What Happens Next

Clean data is recording from the fix onward. The prices that caused this stopped being published on August 12, 2026. Scoring continues to run and log, so a new sample accrues from that date on prices that are actually there. None of it is a claim yet and none of it is being shown as one.

Every finding this record produced is demoted to a hypothesis. The score ladder separating, the top tier clearing zero, the closing-line-value split, the saturation diagnosis: each of those was measured on the contaminated sample, so each one now needs re-testing on clean data before it is repeated anywhere. Anything on this site that cited them as established has been corrected. They are not disproven, they are unproven.

v2 is targeted for October 2026 with its own gates, written before its window opens. Those gates will include the ones that were missing here: a served two-sided price pair from a single book may never sum below 100%, an exchange price may never be derived from the opposite side's order book on a venue that already publishes both sides, and a record concentrated in one venue inherits that venue's bugs and has to be reported by venue as well as in total. v2 starts from zero. It does not inherit a play, a number or a claim from this page.

The original rule still stands and is worth restating now that it has been tested: only a structural change can create a new version, and performance never can. This retirement is not a bad stretch becoming a retune. The scoring rules were never touched, and the freeze history below proves it: what moved was the price data underneath them, and the record is being retired rather than re-fitted.

The daily +EV pick ledger is a different page and a different thing: TOG Daily Record is the single featured pick each day, this page is every play the signal scored. The math behind the score is at /methodology.