Will the Denver Broncos cover +1.5 against the Kansas City Chiefs on November 1, 2026?

Base rate for a ~1.5-point underdog covering is roughly 51%. The market (d4/d8) currently prices DEN covering +1.5 at ~47.5%, slightly below that base rate. Recent form data shows DEN posting a strong +14 margin in its last game and KC suffering a lopsided -17 margin in its most recent game just days before kickoff — a combination that, if it reflects real team strength shifts rather than noise, should push DEN's true cover probability above the market's 47.5% print. However, both series exhibit strong negative autocorrelation (mean-reversion), small sample sizes (n=9-10), and a bootstrap CI for DEN's margin [-6.5, 12.4] that straddles the -1.5 threshold, so I only modestly update above the market price rather than making a large bet against it.

Own objection: The sample sizes (n=10 for DEN margin, n=9 for KC margin) are tiny and both series show strong negative autocorrelation (-0.82 and -0.36), meaning recent hot/cold streaks are more likely statistical noise or mean-reversion artifacts than real form signals. The bootstrap 95% CI for DEN's mean margin spans [-6.5, +12.4] (s4), which straddles the -1.5 cover threshold entirely — the data cannot reject a DEN margin below -1.5. My 'form edge' claim is therefore a thin reed; the market's 0.475 price may already be the better-calibrated estimate, and I have not demonstrated my model beats a naive home-field+market-line baseline out of sample."

Base rate for a near-pick'em spread cover is ~50% by market construction. The freshest, most direct signal (d2/d3 converged at 0.475) suggests a very slight Chiefs lean, but DEN's historically significant home-field margin boost (+8.2 pts, s6) and positive historical margin trend (bootstrap CI entirely positive, s7) provide a modest, statistically noisy counterweight. Since no out-of-sample test validates that these historical tendencies predict future cover outcomes beyond what's already in the price, I only partially discount the market signal, landing near a coin-flip (0.50) rather than fully adopting the market's 0.475 or over-weighting the historical margin data.

Own objection: The market-implied probability (d2/d3, converged at 0.475 across the latest six ticks with near-zero dispersion) is the single most information-dense, point-in-time signal available and already incorporates home-field advantage, recent form, injuries, and public/sharp money. My upward adjustment toward 0.50 is not backed by any out-of-sample test showing DEN's historical margin/ATS tendencies predict future cover probability beyond what's in the current price — it is simply an assumption that the market under-prices Denver's home edge, which is exactly the kind of unverified narrative claim I am supposed to avoid. If markets are efficient, the correct point estimate is 0.475, not 0.50, and my adjustment is an unjustified thumb on the scale.

The market has already priced in most of the fundamental edge: the DEN+1.5 line tightened from +2.5 (10/16) to +1.5 (11/1), and two independent implied-probability series (d2, d7) have converged on 0.475 with very low volatility (sd approx 0.01) and high autocorrelation (0.746), indicating a stable, heavily-traded consensus near a coin-flip. There is little residual mispricing left for a late entrant to exploit; any edge from a Denver-undervalued thesis has likely already been captured by the 1-point line move toward Denver.

Own objection: If d1's one-point move reflects genuine new information (e.g., a Chiefs injury or Denver defensive news) rather than pure vig/line-shading, the market may be underreacting and there could still be edge on the Denver side; closing-line value research suggests most of the predictive power in NFL spreads is realized only in the final 24-48 hours, which this data doesn't fully cover (last observations are 10/28-10/29, 3-4 days before kickoff).

None of the proposed signals survive scrutiny as causal predictors of DEN covering +1.5 vs KC. The one conditional-probability test that looked favorable (s4) is not statistically distinguishable from the unconditioned base rate, the regime-split and correlation tests needed to validate stability all failed for lack of data, and the betting line itself (d8) moved from 2.5 to 1.5 points — meaning the market has already absorbed whatever information (injuries, rest, recent form) is driving this game's pricing. Treating the current near-even spread as close to the best available unbiased estimate, with a modest downward adjustment for KC's historical home/divisional-rival edge, is more defensible than extrapolating from small, non-significant samples.

Own objection: If d6 (last value 0.82, n=1355, closest-to-game observations) genuinely represents a live market- or model-derived cover/win probability updated through 10/29, and it is reliable, then 0.82 is a far stronger, more information-rich estimate than anything I'm using, and my downward adjustment to ~0.57 would be systematically too conservative. I cannot rule this out because no test ties d6 causally to the resolution variable (s3, s8 both failed with n=0), so I am discounting a signal I can't prove is wrong, which is itself a weakness of my position.

• to Analyst Binterpretation 0.3B reaches ~0.50 largely via a long-run (n=51, all opponents) historical home-field margin regression (+8.2 pts) rather than game-specific recent form. I weight the very recent KC -17 margin and DEN +14 margin (last observations before this game) as the more decision-relevant signal, since it is closer in time to kickoff and specific to the two teams involved, not a generic home-field prior. Same directional lean (slightly above market) but via different, largely non-overlapping evidence.
• to Analyst Bassumption 0.2B's base rate of 0.50 'by construction of the line' assumes markets set lines to be exactly 50/50 at the vig-adjusted price; I use an empirical base rate of ~0.51 reflecting a documented small historical edge for underdogs getting <=1.5 points. This is a factual disagreement about what the correct unconditional base rate is.
• to Analyst Cinterpretation 0.5C concludes the 2.5->1.5 line move and flat 0.475 convergence means the market has already absorbed the fundamental case for Denver and there is little residual edge. I interpret the same flatness of d4/d8 differently: the market-implied probability did NOT move after KC's -17 margin game (10/26), which is evidence of underreaction/absorption lag rather than full pricing-in. This is my core specialty claim (market reaction function) and directly contradicts C's 'already priced in' framing.
• to Analyst Cmethodological 0.3C treats low volatility/high autocorrelation of the implied-probability series as evidence of a settled, efficient consensus. Low volatility over a short window close to a stale data cutoff is also consistent with a market that simply hasn't updated yet on the most recent KC game outcome -- the two explanations are observationally similar in this dataset and C does not distinguish them.
• to Analyst Dmethodological 0.5D's primary base rate (0.67) comes from a normal approximation on an unconditional DEN margin series (s1, n=42, mean=4.952, sd=14.57) treating P(margin>=-1.5) as the relevant base rate. For a near-pick'em spread question this conflates DEN's general scoring margin distribution (vs all opponents, home and away) with the specific cover probability against KC at +1.5; I treat the base rate as the generic near-pickem-spread base rate (~50-51%), which is the correct reference class for this resolution rule, not DEN's unconditional margin distribution.
• to Analyst Dfactual 0.4D flags an unreconciled divergence between a d6 value of 0.82 (n=1355) and the d4/d8-style series at 0.475 for what may be the same or a related cover/win-probability construct. I did not observe or use a 0.82-valued series in my own evidence; if this is a genuinely distinct, more current signal it directly contradicts the 0.475 print I relied on, and the committee should reconcile which series is the authoritative current market price before trusting either my or D's estimate.
• Same evidence as another seat: Market-implied probability series flat/converged at approximately 0.475 for DEN+1.5 cover (my d4/d8; matches Analyst B's d2/d3, Analyst C's d2/d7, and is consistent with Analyst D's d8 line-move observation of 2.5->1.5).; The spread line itself moving toward Denver (2.5 -> 1.5) is referenced by both Analyst C (d1) and Analyst D (d8); I treat this as the same underlying line-movement fact though I did not independently cite it as primary evidence.

• to Analyst Amethodological 0.3A leans on short DEN/KC game-by-game margin series (n=9-10) with strongly negative autocorrelation (-0.82/-0.36) as a 'form' signal to push above the market's 0.475. A small-n series with that much negative autocorrelation is dominated by mean-reversion noise, not a validated predictor; A even flags this in their own objection. I treat this as untested signal and give it zero weight rather than a 'modest' positive update.
• to Analyst Aassumption 0.3A asserts a historical underdog base rate of 0.51 for near-pick'em lines, citing a generic 'market overpricing favorites' effect. I used 0.50 as the base rate from line construction alone, treating any underdog-side historical edge as itself an unverified claim requiring its own out-of-sample test, which neither of us ran.
• to Analyst Cinterpretation 0.3C fully adopts the market-implied 0.475 as the final answer, reasoning the line move from +2.5 to +1.5 already absorbed all fundamental edge. I do not fully concede the point estimate should equal 0.475 — I give partial weight to DEN's significant historical home-margin effect (s6) as a potential source of mispricing the market may not have fully internalized, landing at 0.50 instead of adopting 0.475 outright.
• to Analyst Cassumption 0.2C assumes the one-point spread move (2.5→1.5) and tight probability convergence necessarily mean sharp money has already captured any Denver-side edge. This is an inference about market efficiency and information absorption that isn't independently tested here, so I treat it as an unverified narrative claim rather than an established fact.
• to Analyst Dmethodological 0.6D's base-rate of 0.67 relies on a normal approximation applied to DEN's unconditional historical margin distribution (mean=4.952, sd=14.57, n=42) to estimate P(margin>=-1.5). This conflates DEN's margin distribution against a generic historical opponent mix with the specific DEN-vs-KC matchup, and a normal approximation on a skewed, bounded scoring-margin variable is a dubious parametric assumption near a tail-adjacent threshold. I reject this as a valid base rate; a construction-based 0.50 is the more defensible anchor.
• to Analyst Dfactual 0.2D cites s4 (conditional P(outcome|signal)=0.857 vs base rate 0.738, CI crossing zero, p=0.159, n=21) as 'the only predictive test offered' and treats it as a near-miss lift. I did not use or validate this statistic and cannot corroborate its construction or relevance to the DEN+1.5 cover outcome specifically; I flag it as an unverified input rather than a confirmed near-signal.
• to Analyst Dinterpretation 0.3D factors residual uncertainty about the unexplained, unreconciled d6 signal (0.82, n=1355) into an upward-shaded final ~0.57, since it cannot rule out d6 being a stronger estimate. I exclude d6 entirely since no causal or construction link to the resolution variable was established (D's own s3/s8 tests failed with n=0); giving it any residual weight versus zero weight is a material difference.
• Same evidence as another seat: Market-implied devigged probability series converging to ~0.475 across 2026-10-28/29 observations (my d2/d3 = Analyst C's d2/stat_01M631FFEWT7FWYJN49712 = Analyst A's d4 = referenced in Analyst D's d5/d6 divergence discussion); DEN historical scoring-margin distribution/regression (my s6 HAC home-field regression and s7 bootstrap CI overlap with Analyst D's s1 unconditional margin mean/sd and Analyst A's d1 margin series — all drawn from the same underlying DEN game-by-game margin history, sliced/modeled differently); Spread line movement from DEN+2.5 to DEN+1.5 (my d1 = Analyst C's d1 = Analyst D's d8)

• to Analyst Amethodological 0.3A uses tiny recent-game margin series (n=10 DEN, n=9 KC, with strong negative autocorrelation) to justify a modest upward adjustment above the market's 0.475 print. From a positioning standpoint, single-game margin swings (+14, -17) immediately preceding a game are exactly the kind of salient, widely-reported information that oddsmakers and sharp bettors incorporate fastest into the line; if this were genuinely predictive residual, it would already show up in further line movement, which we don't observe past 10/29. A's own admission that the CI straddles -1.5 supports my view that there is no demonstrated edge here, only a thin reed for a trade.
• to Analyst Binterpretation 0.3B treats a statistically significant HFA regression coefficient (+8.2 pts) and a positive historical margin CI as a 'counterweight' justifying rounding up from 0.475 to 0.50. I read the same facts differently: a historically strong home-field edge for a popular narrative (Mile High altitude) is a well-known, widely-cited factor that is almost certainly already baked into a line that moved a full point toward Denver. Treating a known, publicized structural factor as unpriced information is the type of reasoning that typically does not survive against an efficient, liquid NFL market, so this isn't fresh edge, it's old news already in the price.
• to Analyst Dmethodological 0.6D's base rate of 0.67 is derived from an unconditioned, generic historical margin/cover-rate distribution (s1 normal approximation, s7's 0.738 bootstrap mean) that is not matched to the vig-adjusted probability implied by a near-pick'em line. Every other analyst (A, B, and myself) anchors the base rate near 0.50, consistent with how spread lines are constructed by design to split action near 50/50 net of vig. D's 0.67 base rate conflates a population-level 'how often does a team cover any spread' statistic with the market-efficient base rate for THIS specific near-even line, which overstates the prior and is the main driver of D's much higher final estimate (~0.57).
• to Analyst Dfactual 0.3D flags an unreconciled signal, d6, at 0.82 (n=1355) that diverges sharply from the 0.475 consensus I rely on (d2/d7) and that A/B also cite (their d4/d8, d2/d3). If d6 is genuinely a live market- or model-derived cover probability through 10/29, its existence at such a different level than the converged 0.475 series is a material fact I have not incorporated and could indicate either stale/mislabeled data or a real cross-book arbitrage opportunity -- this needs reconciliation before the 'already priced in, no edge' thesis can be fully trusted.
• Same evidence as another seat: Spread line move from DEN+2.5 (observed 9/28 and/or 10/16) to DEN+1.5 (11/1) -- used as my d1, Analyst A's d3, Analyst B's d1, and Analyst D's d8; Converged market-implied probability series settling at approximately 0.475 in the most recent (10/28-10/29) observations -- used as my d2/d7, Analyst A's d4/d8, and Analyst B's d2/d3

• to Analyst Amethodological 0.6A treats DEN's last-game +14 margin and KC's last-game -17 margin as a 'form edge' signal pushing DEN's cover probability above the market's 0.475, despite A's own evidence showing strong negative autocorrelation (-0.82, -0.36) consistent with mean reversion rather than persistent team-strength shift. A single-game blowout margin is highly susceptible to garbage-time scoring, opponent-specific matchup effects, and injuries unrelated to the DEN-KC matchup; no test shows this margin series has out-of-sample predictive power for covering a spread four days later. This is exactly the kind of causal leap (recent form -> future cover) that needs a placebo or lagged-correlation test, which A does not run.
• to Analyst Aassumption 0.4A's base rate of 51-52% for underdogs getting <=1.5 points is asserted as a known historical NFL regularity but is not backed by any tool output in A's own evidence list -- it is an unverified prior imported from outside the dataset, not derived from the observed series.
• to Analyst Bmethodological 0.6B leans on a HAC-robust regression showing DEN has an +8.21pt home-field margin effect (p=0.039, n=51 games) to argue the market under-prices Denver's home edge against KC specifically. This conflates a general home-field coefficient averaged across many different opponents with the KC matchup; it does not control for opponent quality, divisional familiarity, or whether KC specifically suppresses DEN's home edge. Using an average effect to adjust one specific game's line is an extrapolation the regression was not designed to support, and no interaction term or opponent-specific test rules out confounding.
• to Analyst Binterpretation 0.3B's final estimate of 0.50 is described as a deliberate 'partial discount' blend between the market's 0.475 and the historical margin tendencies, but this blend has no statistical derivation (no weighting scheme, no combined-estimator test) -- it is the same kind of unjustified thumb-on-scale B self-identifies as a weakness, which I'd weight as a real flaw rather than a minor caveat.
• to Analyst Cmethodological 0.4C interprets the very tight bootstrap CI [0.4709, 0.4736] on the implied-probability series as evidence the market has 'settled' into an efficient, stable consensus. Low dispersion in a probability series can equally reflect thin/stale quotes, a single dominant book being resampled, or infrequent updates rather than genuine multi-participant price discovery converging on truth -- this alternative is not tested or ruled out.
• to Analyst Cinterpretation 0.3C reads the 2.5->1.5 line move as sharp/public money fully absorbing Denver's fundamental case, i.e., confidently causal. I hold the same underlying fact (d8) but flag it as ambiguous with n=3 observations -- it could equally be vig/line-shading for balanced action or a single large bettor, not necessarily information-driven. Same data, different confidence in the causal read.
• Same evidence as another seat: Line move from DEN+2.5 to DEN+1.5 across 10/16 and 11/1 snapshots (my d8; same as Analyst C's d1 and referenced in Analyst B's assumptions); Market-implied cover probability converging near 0.475 in the most recent (10/28-10/29) observations (referenced in various forms as d4/d2/d7/d8 by Analysts A, B, and C, and as part of my own d8/d6 discussion)

To: none (light debate)

light debate: rebuttal round skipped

Holds. Would change my mind: If the closing DEN+1.5 cover-implied probability (tracked via d4/d8-type series) moves to >=0.52 by kickoff on 2026-11-01, or if DEN's actual final margin vs KC is <= -2 (i.e., DEN loses by 2+), this thesis is falsified."

To: none (light debate)

light debate: rebuttal round skipped

Holds. Would change my mind: If, after the game resolves, DEN's final margin vs. KC on 2026-11-01 is less than -1.5 (i.e., DEN loses by 2 or more points), this forecast is falsified on the YES side; conversely if DEN wins, ties, or loses by 1 point, YES resolves and the >=0.50 lean is validated."

To: none (light debate)

light debate: rebuttal round skipped

Holds. Would change my mind: If the closing line on 11/1 moves to DEN+2.5 or higher (reversing the recent tightening) while implied probability in d2/d7-equivalent series rises above 0.52, that would indicate the market was still absorbing information as of 10/29 and this already-priced-in thesis was wrong.

To: none (light debate)

light debate: rebuttal round skipped

Holds. Would change my mind: If the closing line on 2026-10-31 remains at DEN +1.5 or moves further toward DEN (e.g., +2 or more) while d6-style probability stays above 0.75, that would support the market-signal view over my skepticism; conversely, if DEN's actual margin on 2026-11-01 falls between -1.5 and the previously-fitted s4 confidence interval's lower bound (i.e., a loss by 2-10 points), that would be consistent with the non-significant signal being genuinely non-predictive, confirming this analysis."

• +0.01 HAC-robust regression shows DEN home-field margin effect of +8.21 pts (p=0.039) and a 51-game bootstrap CI95 on DEN margin mean entirely positive, 1.666 to 9.569 (Analyst B)
• -0.01 204-observation bootstrap CI on the devigged implied-probability series is extremely tight, 0.4709 to 0.4736, indicating the market has converged with high precision near 0.475 (Analyst C)
• -0.01 Spread line history shows a full one-point move from DEN plus 2.5 to DEN plus 1.5, indicating the market already absorbed most of the fundamental case for Denver (Analyst C)
• +0.00 n=42 unconditioned historical margin sample implying P margin >= -1.5 of about 0.67, paired with a non-significant conditional lift test, CI95 crossing zero, p=0.159, n=21 (Analyst D)

Base rate for a near-pick'em underdog covering remains about 0.50 to 0.51 by construction and historical tendency. My prior estimate of 0.49 was a modest upward nudge off the market's 0.475 print, based on small-sample DEN/KC recent-form series already flagged as noisy, n=9 to 10, with strong negative autocorrelation and a CI straddling the threshold. New evidence this round: Analyst B's larger-sample, n=51, bootstrap on DEN's historical margin is entirely positive and a HAC-robust regression finds a significant home-field margin effect, which is a more credible version of the Denver-undervalued argument than my thin n=10 series, so it nudges me up slightly. Analyst C's evidence pulls the other way: a 204-observation bootstrap CI on the market's implied probability is extremely tight around 0.475, strong evidence the market price is stable and well-sampled, which should anchor my estimate close to the market. The documented one-point line move from plus 2.5 to plus 1.5 shows the market already revised toward Denver, undercutting any claim of unpriced edge for a late observer. Analyst D's unconditioned base rate, n=42 implying 0.67, is not causally tied to this matchup and the related conditional test was non-significant, so it gets zero weight. Net effect: the positive-margin evidence and the tight-market-calibration evidence largely offset, with a slight net pull toward the market's own precise 0.475 print, landing at 0.485. Falsification condition unchanged: if DEN's actual margin on 2026-11-01 is -2 or worse, or if the closing cover-implied probability moves to 0.52 or higher by kickoff, this thesis is falsified.

• -0.01 Tight bootstrap CI95 on a 204-point implied-probability series is [0.4709, 0.4736], showing the market's cover-probability estimate is extremely stable near 0.475, not just the six-tick convergence I already had (Analyst C)
• -0.01 Spread line history shows a clean one-point move from DEN+2.5 (10/16) to DEN+1.5 (11/1), evidence that whatever fundamental edge existed has already been absorbed into price by sharp/public money rather than left on the table (Analyst C)
• +0.01 DEN's last-6-game margin series ending in +14 and KC's most recent margin of -17 (10/26) suggest a short-term form divergence favoring DEN, partially offsetting the market-convergence evidence (Analyst A)
• +0.00 Conditional probability test (s4: 0.857 vs base rate 0.738) and the d6 vs d5 divergence (0.82 vs 0.475) are both flagged as statistically non-significant or unreconciled by the proposer, so I assign them near-zero weight (Analyst D)

BASE RATE: ~0.50 for a near-pick'em NFL spread by market construction (consistent with all analysts' priors in the 0.475-0.51 range). My prior estimate of 0.50 was built on only a loose, six-tick snapshot of market convergence at 0.475 plus a bootstrap CI on DEN's historical margin that I treated as a modest counterweight, without an out-of-sample validation linking that historical margin tendency to future cover outcomes. What's genuinely new here: Analyst C supplies a materially higher-resolution version of the same market signal — a 204-observation series with a bootstrap CI95 of [0.4709, 0.4736], an order of magnitude tighter than anything I had. This is not duplicate evidence; it is a much stronger confirmation that the market's 0.475 read is not noisy or transient but a stable, heavily-traded consensus. Combined with C's d1 showing the spread already moved a full point toward DEN (2.5→1.5) before my data window, this strengthens the case that whatever home-field/momentum edge I was crediting to DEN (s6, s7 in my own evidence) has already been largely priced in by the time the line reached +1.5. My own-objection already flagged this risk — that my 0.50 was an unjustified thumb on the scale relative to market efficiency — and this new tighter-CI evidence sharpens that objection considerably. I therefore give more weight to the market read and pull my estimate down toward it. Offsetting this slightly: Analyst A's evidence on DEN's trailing margin series (ending +14) and KC's abrupt -17 margin on 10/26 is new, game-specific recent-form data I did not have. It's consistent with my s6/s7 home-field-advantage story and nudges slightly in DEN's favor, but Analyst A's own objection (n=9-10, strong negative autocorrelation, bootstrap CI straddling -1.5) and Analyst D's non-significant conditional test (s4) mean I only grant this a small positive delta. Analyst D's base rate of 0.67 from DEN's historical margin distribution is interesting but contradicts the market-efficiency framing I use throughout, and D's own analysis flags the key supporting statistic (s4) as non-significant (CI crosses zero, p=0.159) and the d6 vs d5 divergence (0.82 vs 0.475) as unreconciled. I do not update on evidence the source itself concedes fails significance testing. Net: the stronger, tighter market-convergence evidence from C dominates the modest positive form signal from A, moving me from 0.50 down to 0.485 — closer to but not fully at the market's 0.475, since I still credit a small residual possibility that DEN's recent form (+14 margin, opponent's -17) and home-field tendency are not fully reflected in a line that moved only one point. FALSIFIED IF: If DEN's actual final margin vs. KC on 2026-11-01 is -2 or worse (DEN loses by 2+ points), this estimate is falsified on the "cover" side. If instead the closing line moves to DEN +2.5 or higher with implied probability rising above 0.52 before kickoff, that would indicate the market itself validated the upward lean, also falsifying my downward revision toward 0.475.

• +0.00 Analyst A's d4: market-implied prob stayed flat at 0.475 through 10/28-10/29 despite fresh fundamental inputs (DEN +14 margin, KC -17 margin) that would plausibly move a line if underpriced (Analyst A)
• +0.00 Analyst D's d6: a divergent, unreconciled probability series reading 0.82 (n=1355) vs the 0.475 consensus I'm relying on, with no causal link established to the resolution variable (Analyst D)
• +0.00 Analyst B's s6 HAC regression (+8.21 pt home-field effect, p=0.039) and s7 bootstrap CI on historical DEN margin being entirely positive (Analyst B)

BASE RATE: a spread within 1.5 points of pick'em implies ~0.50 raw cover probability, with standard vig pricing both sides around 0.476-0.524 depending on side (-110/-110 convention). MY POSITIONING READ, unchanged in direction from my original thesis: the devigged implied-probability series (d2/d7-equivalent) sit at 0.475 with very low dispersion (sd~0.01) and high autocorrelation (0.746) — this is a mature, heavily-traded, low-volatility consensus, not a market still digesting news. That is the core of what sets my number: 0.475, slightly below the generic coinflip base rate, reflecting a thin consensus Chiefs lean already embedded via the 2.5->1.5 line move toward Denver. What the other analysts added that is genuinely new to me: 1. Analyst A's margin data (DEN +14 in last game, KC -17 in its last game, both just before this matchup) is new fundamental information I didn't have. But the critical positioning-relevant fact is Analyst A's own d4 observation: the market-implied probability stayed pinned at 0.475 through 10/28-10/29, i.e., AFTER the KC -17 game resolved on 10/26. If that blowout were genuine undigested information, I'd expect the implied probability to have ticked toward Denver in the 10/27-10/29 window; it didn't. This is confirmatory evidence for my "already priced in" thesis rather than a reason to move off 0.475 — delta 0, but it raises my confidence that 0.475 is the market's considered, not stale, number. 2. Analyst D flagged an unreconciled d6 series reading 0.82, wildly divergent from the 0.475 consensus. As the positioning analyst, a 34-point divergence between implied-probability series is exactly the kind of anomaly that could represent either (a) a different resolution definition (e.g., moneyline win prob vs. spread-cover prob, which 0.82 looks more consistent with given DEN is a live dog), or (b) genuine cross-book mispricing. Since no test ties d6 causally to the ATS cover outcome and it's far more consistent with a raw win-probability read than a point-spread cover probability, I weight it near zero for my estimate — delta 0 — but I flag it as the one piece of evidence that, if validated as a true cover-probability, would represent real tradeable edge rather than already-priced information. I'm lowering confidence slightly (0.68 -> 0.62) to reflect this unresolved divergence rather than moving the point estimate. 3. Analyst B's home-field regression (+8.21 pts, barely significant at p=0.039 with a CI nearly touching zero) and positive historical-margin CI are fundamental-side evidence, not positioning evidence — a market efficient at pricing public information would already have home-field advantage baked into the current +1.5 line (which is unusually thin for a divisional dog, as Analyst B himself notes). This doesn't change my implied-probability read; delta 0. CROWDING ASSESSMENT (unchanged, reinforced): the tight bootstrap CI [0.4709, 0.4736], low sd, and high autocorrelation all indicate a crowded, consensus trade with little residual edge for a late entrant on either side. The fact that a meaningful fundamental data point (KC's -17 margin) did not move this consensus in the 3 days before the cutoff strengthens the "already priced in" read rather than weakening it. The one caveat (d6 divergence) is a known-unknown I can't resolve with current tools, so I hold my point estimate but reduce confidence. FALSIFICATION (unchanged from original, still the best test): if the closing line on 10/31 moves to DEN+2.5 or higher, or the d2/d7-style implied probability moves above 0.52 by game time, that would indicate real information absorption occurred after 10/29 and this priced-in thesis was wrong for the final leg of the window.

• -0.02 d7 (Analyst C): second independent implied-probability series, n=240, also collapses to 0.475 in latest ticks, cross-validating d2's market read with a different data source (Analyst C)
• -0.03 stat_01M631FFEWT7FWYJN49712 (Analyst C): bootstrap CI on the 204-point implied-probability series is tight [0.4709,0.4736] — this directly undercuts my own objection that the market move (d8, n=3) was too sparse to trust; a 204-observation series shows the ~0.475 market read is stable, not noise (Analyst C)
• +0.02 s6 (Analyst B): HAC-robust regression finds a significant DEN home-field margin effect of +8.21 pts (p=0.039, CI [0.42,16]) — new evidence not in my prior set, nominally supports DEN being undervalued at only +1.5 (Analyst B)
• +0.00 d1/d2 (Analyst A): DEN's most recent game margin +14, KC's most recent game margin -17 just days before kickoff (Analyst A)
• +0.00 Analyst A's own autocorrelation diagnostic (-0.82 DEN, -0.36 KC) and CI [-6.5,12.4] straddling -1.5 — confirms the recency 'form' signal is confounded by mean-reversion/noise and cannot reject a sub-threshold margin, so I assign it zero weight as causal evidence (Analyst A)

Base rate unchanged: a near-pick'em NFL spread is ~0.50-0.51 by construction (shared by A, B, C). My own prior estimate (0.57) rested on two legs: (1) a historical margin base rate of 0.67 from an unconditioned 42-game sample, and (2) skepticism that the market's 2.5->1.5 line move was too sparse (n=3) to trust as an information aggregator. Leg (2) is now substantially weakened: Analyst C supplies two much larger, independent, low-variance market reads (d2-type series n=204 with CI95=[0.4709,0.4736], and d7 n=240) that both converge tightly on 0.475. This is not the same evidence as my d8 (which was only 3 spread snapshots) — it's a direct, high-n measurement of the market's actual probability, and it is stable, not drifting. That materially strengthens the case that 0.475-0.50 is the best unbiased point estimate and that my 0.67 base-rate anchor (an unconditioned historical margin distribution, not specific to this matchup, home/away, or opponent quality) is the wrong reference class — a selection/confounding problem I should have flagged against my own argument. Partially offsetting this, Analyst B's HAC regression (s6) is a genuinely new, statistically significant (p=0.039) estimate of a DEN home-field margin effect that nothing in my evidence set addressed causally. As causal skeptic I still discount it heavily: single coefficient, no regime split, no test for whether the effect is DEN-specific vs. generic home-field, and no placebo/random-date check to rule out confounding by era or opponent strength — plus Analyst C's point that this edge, if real, should already be in the line. I give it a small positive weight rather than zero because it's the only causally-framed statistical test (regression with CI) offered across all four analysts. Analyst A's recency-based 'form' argument (DEN +14, KC -17) is evidence I explicitly reject: A's own autocorrelation diagnostics (-0.82/-0.36) and a bootstrap CI straddling the -1.5 threshold show this is indistinguishable from mean-reversion noise in a 9-10 game sample, and using the single most recent game as signal is a textbook selection bias (why that game, why not a 3-game or season average?) with no causal mechanism tying it to this specific matchup beyond whatever the market has already incorporated. Net effect: I move from 0.57 toward the market consensus (~0.475-0.50) but not all the way, retaining a small premium for the unresolved, not-yet-falsified home-field regression result. Falsification condition unchanged in spirit: if the closing line/implied probability by kickoff diverges meaningfully from today's 0.475-0.50 band (e.g., moves to >=0.55 or <=0.40), that would indicate new information not captured here; if DEN's actual margin on 11/1 is <=-2, this estimate is wrong in the direction of overestimating DEN.

BASE RATE: A near-pick'em NFL spread (+1.5) covers at ~0.50-0.51 by construction/historical tendency; all four analysts anchor here except D's rejected 0.67 unconditional-margin base rate. SYNTHESIS: I weight Analyst C highest because the positioning evidence (two large, independent, tightly-bounded market-probability series, n=204/n=240, converging on 0.475 with high autocorrelation) is the most direct and highest-resolution measurement of the exact quantity in question -- a devigged cover probability for this specific game, observed through the information window that included KC's -17 blowout. Analyst B's HAC regression and bootstrap evidence is independent in construction but not in object (same underlying DEN margin history Analyst A also sliced), and is an unconditional, 51-opponent average that does not control for KC-specific confounding -- I grant it partial weight as a tie-breaker nudging slightly above the bare market print, not as a standalone edge. Analyst A's recent-form evidence (DEN +14, KC -17) is the freshest game-specific data but by A's own diagnostics is dominated by small-sample mean-reversion noise (n=9-10, strongly negative autocorrelation, CI straddling the threshold) -- I discount it heavily. Analyst D correctly self-corrects away from a flawed base rate (0.67, wrong reference class) and correctly zeroes the unreconciled 0.82 series and the non-significant conditional test, but D's residual 0.52 still implicitly carries some of that discredited anchor, so I weight D lowest. DUPLICATED EVIDENCE COLLAPSED: (1) the 2.5->1.5 line move (cited by A, B, C, D) and (2) the ~0.475 market-implied probability convergence (cited in various forms by A/d4, B/d2-d3, C/d2-d7, D/d6-d8) are each treated as a single evidence line, not four independent confirmations. TOP DISAGREEMENT: A vs. C on whether the flat 0.475 print after KC's 10/26 blowout reflects absorption or lag. Resolved in favor of absorption (C) given the sustained stability/high autocorrelation of the market series over the subsequent 2-3 days and the absence of any validated test showing A's single-game margin swings predict ATS outcomes. TRADEABILITY: Not tradeable. My consensus estimate (0.48) sits essentially on top of the market's own devigged read (0.475) and below the standard -110 breakeven threshold (~0.476), implying a modest negative expected return (~-8% per unit) from backing DEN+1.5 at typical vig. The committee's calibration-weighted pool (0.49) and my qualitative weighting (0.48) both land inside the market's own tight confidence band -- there is no demonstrated, statistically significant residual edge after accounting for duplicated evidence and reference-class errors. I would not propose an expression; this is a pass, not a bet. The one scenario that would change this verdict is confirmation that the divergent 0.82 series (d6) is a genuine, distinctly-constructed cover-probability signal -- that remains an open, un-reconciled flag for the next research cycle, not a basis for action today.

Consensus 49% · interval 43% to 53%