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Philadelphia — photograph (Photo: 颐园居 · CC BY-SA 4.0 · via Wikimedia Commons)
WEATHER · RESOLUTION REPORT

Highest temperature in Philadelphia on Nov 2, 2026: 65° to 66° — it happened. How PBE scored.

65° to 66°: YES. PBE's final pre-resolution forecast was 22% against a 55% market. The designated forecasts, the market at the same moments, and the scores — fixed before the outcome.

Published Model data as of Nov 1 23:00ZBy the PropBetEdge Predictions Desk1 min read

Photo: 颐园居 · CC BY-SA 4.0 · Wikimedia Commons

ResultYES65° to 66°
PBE at final22%pbe-weather-maxtemp@1.1.0
Market at final55%captured with the snapshot
Brier (PBE)0.132market 0.080

Resolved Nov 3 12:06Z · verified against NWS CLI CLIPHL product 202611030605-KPHI-CDUS41-CLIPHL

LIVE UPDATE · not part of the original story

Highest temperature in Philadelphia on Nov 2, 2026?

65° to 66° · RESOLVED

PBE · live intraday82%
KalshiNo two-sided quote
GapNo comparable quote

At KPHL: high so far 66.0°F · latest 52.0°F () · STALE

RESEARCH PBE Nov 2 21:38Z · market

Open the live forecast →

Quick read

  • Result: 65° to 66°: YES; official check 66 degF agrees with the venue.
  • PBE at the final pre-resolution snapshot: 22%; market at that moment 55%.
  • Mean Brier at the final checkpoint: PBE 0.132, market 0.080 (n=6).
  • Scoring snapshots were fixed by rule (designation/1) before the outcome existed.

What happened

Highest temperature in Philadelphia on Nov 2, 2026 resolved with 65° to 66°: YES. The venue settled at Nov 3 12:06Z (expiration value 66.00); PropBetEdge's independent check — NWS CLI CLIPHL product 202611030605-KPHI-CDUS41-CLIPHL — recorded 66 degF, which agrees with the settlement (source).

What PBE said before it happened

The snapshots that count were fixed by rule before the outcome: the first published forecast, the forecast in force 24 hours before the reference time (only if one existed), and the last forecast before it. Each is shown with the Kalshi mid captured at the same moment.

CHECKPOINTSDesignated forecasts and the market at the same momentPBE % (market % captured with that snapshot)
OutcomeResultFirst publishedT−24 hFinal pre-resolution
65° to 66°YES22%—22% (mkt 55%)
64° or belowNO13%—13% (mkt 16%)
67° to 68°NO34%—34% (mkt 30%)
69° to 70°NO22%—22% (mkt 2%)
71° to 72°NO7%—7%
73° or aboveNO2%—2%
Units: % probabilityAs of Nov 1 23:08ZSource: PBE forecast archive; designations designation/1
DISTRIBUTIONFinal pre-resolution distribution vs the market
PBE (final)Market at that snapshot
65° to 66° ✓
22%
55%
64° or below
13%
16%
67° to 68°
34%
30%
69° to 70°
22%
2%
71° to 72°
7%
no two-sided quote
73° or above
2%
no two-sided quote
Units: % probabilityAs of Nov 1 23:08ZSource: PBE forecast archive; Kalshi
FORECAST PATH“65° to 66°” until resolutionEvery public snapshot; designated snapshots ringed
0%25%50%75%100%Nov 1 15:00ZNov 1 22:03ZNov 2 05:06ZFirst publishedFinal pre-resolutionPBE snapshot (ringed = designated for scoring) 22% · Nov 1 15:00ZPBE snapshot (ringed = designated for scoring) 31% · Nov 1 17:00ZPBE snapshot (ringed = designated for scoring) 22% · Nov 1 23:08Z
Kalshi mid (stored observations)PBE snapshot (ringed = designated for scoring)
Units: % probabilityAs of Nov 1 23:08ZSource: PBE forecast archive; Kalshi

How it scored

Scores compare PBE and the market on the same designated snapshot — a lower Brier score or log loss is better. At the final pre-resolution checkpoint PBE's mean Brier score across 6 contracts was 0.132 against 0.080 for the market. One event is not evidence of skill in either direction.

SCOREPBE vs market on the designated snapshotsMean across this event’s contracts
CheckpointMethodPBEMarketn (PBE)n (market)
First publishedBrier0.132—60
First publishedLog loss0.402—60
Final pre-resolutionBrier0.1320.08064
Final pre-resolutionLog loss0.4020.28664
Units: Brier score / log loss (lower is better)As of Nov 3 12:06ZSource: pred_scores

This event adds 6 resolved contracts to the model's live record (1260 resolved in total). Live calibration is published once 30 have resolved.

Evidence & method

What this story is based on. Every value above was read from these immutable records.

OutcomeModelSnapshotCompared withCapturedData cutoffMarket
65° to 66°pbe-weather-maxtemp@1.1.0 · RESEARCHa18c1695-399f-4a55-83dd-83f8f26d40406dab6315-6d45-4c1b-9b15-e0e47a1a4bbcNov 1 23:08ZNov 1 23:00Z55%
64° or belowpbe-weather-maxtemp@1.1.0 · RESEARCHaa0787cb-430f-45d8-abdf-dc25118bf236e2df7e8e-e457-44fb-abb4-568190e2b5f2Nov 1 23:08ZNov 1 23:00Z16%
67° to 68°pbe-weather-maxtemp@1.1.0 · RESEARCH1f8b98a0-a65f-455f-82cd-7d2196287dea6ae2b57f-a34c-4a5e-9942-950274726324Nov 1 23:08ZNov 1 23:00Z30%
69° to 70°pbe-weather-maxtemp@1.1.0 · RESEARCH63e7a7d1-10ba-471a-9ece-dad8436c67f57fdedf55-620f-41f4-8ca9-bfbf04570413Nov 1 23:08ZNov 1 23:00Z2%
71° to 72°pbe-weather-maxtemp@1.1.0 · RESEARCH23763fda-ca18-4a01-970c-19346d96e2a6088a7eb4-7e7e-4ed5-a156-359fac876e1eNov 1 23:08ZNov 1 23:00Z—
73° or abovepbe-weather-maxtemp@1.1.0 · RESEARCH5106535f-9d65-4bbc-8a17-2180aae16719b50fbad5-a1c5-41e9-85f8-4d2786d245efNov 1 23:08ZNov 1 23:00Z—

Source families: NWS CLI CLIPHL product 202611030605-KPHI-CDUS41-CLIPHL. Market = Kalshi mid captured with each snapshot.

RESOLUTION RULE
Resolves on
The Weather Company (weather.com/kalshi) — The Weather Company daily maximum temperature for CLIPHL (weather.com/kalshi)
Independent check
NWS Daily Climate Report CLIPHL (WFO PHI); NOAA RCC-ACIS USW00013739
Measurement
Maximum temperature for the climate day 2026-11-02, 00:00-24:00 local standard time (UTC-5)
Rounding
Whole degrees Fahrenheit as reported; preliminary values may differ by rounding/conversion
Exceptions
Preliminary data may be revised; the exchange may hold expiration until a non-erroneous revision, else last fair price
If the maximum temperature recorded at Philadelphia (CLIPHL) for Nov 2, 2026, is between 65-66° fahrenheit according to The Weather Company, then the market resolves to Yes.
MODEL LIMITATIONS
  • Pre-window only; no current-conditions input
  • Guidance can run cold/hot in unusual regimes (see LA diagnostic, 2026-10-04)

Weather · daily high — inputs: National Blend of Models day max (GFS MOS fallback) + station empirical guidance-error tables. This model on the research board →

Market prices are a benchmark only and never enter a PropBetEdge model. Research-stage probabilities; not advice.