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WEATHER · RESOLUTION REPORT

Where will it rain on Nov 2, 2026: Dallas — it did not happen. How PBE scored.

Dallas: NO. PBE's final pre-resolution forecast was 74% against a 49% market. The designated forecasts, the market at the same moments, and the scores — fixed before the outcome.

Published Model data as of Nov 2 05:00ZBy the PropBetEdge Predictions Desk1 min read

Data illustration generated by PropBetEdge Predictions from this story’s evidence

ResultNODallas
PBE at final74%pbe-weather-precip@1.1.0
Market at final49%captured with the snapshot
Brier (PBE)0.054market 0.056

Resolved Nov 3 13:00Z · verified against NWS CLI CLIDFW product 202611030755-KFWD-CDUS44-CLIDFW

LIVE UPDATE · not part of the original story

Where will it rain on Nov 2, 2026?

Dallas · RESOLVED

PBE · live intraday22%
KalshiNo two-sided quote
GapNo comparable quote

At KDFW: high so far 84.9°F · latest 77.0°F () · STALE

RESEARCH PBE Nov 3 04:10Z · market

Open the live forecast →

Quick read

  • Result: Dallas: NO; official check 0 in agrees with the venue.
  • PBE at the final pre-resolution snapshot: 74%; market at that moment 49%.
  • Mean Brier at the final checkpoint: PBE 0.054, market 0.056 (n=30).
  • Scoring snapshots were fixed by rule (designation/1) before the outcome existed.

What happened

Where will it rain on Nov 2, 2026 resolved with Dallas: NO. The venue settled at Nov 3 13:00Z (expiration value 0.00); PropBetEdge's independent check — NWS CLI CLIDFW product 202611030755-KFWD-CDUS44-CLIDFW — recorded 0 in, 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
AlbuquerqueYES82%—84% (mkt 89%)
AtlantaNO10%—3% (mkt 4%)
AustinNO6%—2% (mkt 4%)
BostonNO2%—2%
ChicagoNO33%—24% (mkt 41%)
College StationNO5%—2% (mkt 6%)
ColumbusYES51%—57% (mkt 53%)
DallasNO79%—74% (mkt 49%)
Washington DCNO5%—5% (mkt 3%)
DenverYES84%—66% (mkt 91%)
NewarkNO2%—2%
HoustonNO13%—8% (mkt 9%)
Los AngelesNO2%—2%
LexingtonYES74%—85% (mkt 90%)
Las VegasNO2%—2%
MiamiYES97%—97%
MinneapolisYES98%—98% (mkt 98%)
MilwaukeeYES52%—52% (mkt 68%)
New OrleansNO30%—43% (mkt 42%)
New York CityNO2%—2%
Oklahoma CityYES90%—96% (mkt 94%)
PhiladelphiaNO2%—2%
PhoenixNO22%—21% (mkt 2%)
PittsburghNO23%—15% (mkt 12%)
ProvidenceNO2%—2%
San AntonioNO4%—2% (mkt 4%)
SeattleNO2%—2% (mkt 7%)
San FranciscoNO2%—2%
SpringfieldNO56%—42% (mkt 38%)
TrentonNO2%—2%
Units: % probabilityAs of Nov 2 05:00ZSource: PBE forecast archive; designations designation/1
FORECAST PATH“Dallas” until resolutionEvery public snapshot; designated snapshots ringed
0%25%50%75%100%Nov 1 10:10ZNov 1 22:23ZNov 2 10:36ZFirst publishedFinal pre-resolutionPBE snapshot (ringed = designated for scoring) 79% · Nov 1 10:10ZPBE snapshot (ringed = designated for scoring) 77% · Nov 1 11:00ZPBE snapshot (ringed = designated for scoring) 79% · Nov 1 17:00ZPBE snapshot (ringed = designated for scoring) 62% · Nov 1 23:08ZPBE snapshot (ringed = designated for scoring) 74% · Nov 2 05:00Z
Kalshi mid (stored observations)PBE snapshot (ringed = designated for scoring)
Units: % probabilityAs of Nov 2 05:00ZSource: 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 30 contracts was 0.054 against 0.056 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 publishedBrier0.063—300
First publishedLog loss0.215—300
Final pre-resolutionBrier0.0540.0563020
Final pre-resolutionLog loss0.1870.2083020
Units: Brier score / log loss (lower is better)As of Nov 3 13:00ZSource: pred_scores

This event adds 30 resolved contracts to the model's live record (897 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
Albuquerquepbe-weather-precip@1.1.0 · RESEARCH2ee0b15a-377b-4897-bab4-68d7dfaf8090ad54dee0-f874-4e82-93dc-9a5d16d37fa5Nov 2 05:00ZNov 2 05:00Z89%
Atlantapbe-weather-precip@1.1.0 · RESEARCHf6c1ec14-b7cf-4e22-ae81-00448320d1ce8dc55da0-39c4-48a1-9c56-e9419cd9e890Nov 1 23:00ZNov 1 23:00Z4%
Austinpbe-weather-precip@1.1.0 · RESEARCH1226f86e-2e19-4552-97be-5a43f1b5b63c8240d2e7-f6ce-437d-8c0e-7326dfc12153Nov 2 05:00ZNov 2 05:00Z4%
Bostonpbe-weather-precip@1.1.0 · RESEARCHd5c965e2-b17b-4892-ac0c-0d04962105780eb3d4f0-e280-4a11-a6af-a171556e078dNov 1 23:06ZNov 1 23:00Z—
Chicagopbe-weather-precip@1.1.0 · RESEARCHa9103e05-2a27-4b3e-b656-7fc116b42667197ff95f-d10f-419d-ac64-330e4e2cae94Nov 2 05:00ZNov 2 05:00Z41%
College Stationpbe-weather-precip@1.1.0 · RESEARCHc2bacb86-ab0f-47c9-9aae-b9d147682ed1c4b76639-f582-462d-8aaf-135134d94d5dNov 2 05:00ZNov 2 05:00Z6%
Columbuspbe-weather-precip@1.1.0 · RESEARCH35f5d359-e0a4-4e5b-abae-895175e2cb0de4ccbf87-d513-4278-a8ca-887c1663f9c9Nov 1 23:06ZNov 1 23:00Z53%
Dallaspbe-weather-precip@1.1.0 · RESEARCHfa1e0d44-1233-42af-b2e5-b1c0fe50c352c57e95d2-5f94-4d09-bfdf-b2844aeffe3bNov 2 05:00ZNov 2 05:00Z49%
Washington DCpbe-weather-precip@1.1.0 · RESEARCHb026834b-bdf2-4baf-9a4a-191db4deaf1229502951-b838-4c9c-9165-e78b395d3de9Nov 1 23:08ZNov 1 23:00Z3%
Denverpbe-weather-precip@1.1.0 · RESEARCHf149704d-efde-4e7c-97c0-fefd83452361d935d950-7433-4a0d-9c6c-c199ae6b515aNov 2 05:00ZNov 2 05:00Z91%
Newarkpbe-weather-precip@1.1.0 · RESEARCH45d4f696-623d-410b-b03a-eda19c127ec8492e7378-be82-44ea-8922-f938f2c42c94Nov 1 23:06ZNov 1 23:00Z—
Houstonpbe-weather-precip@1.1.0 · RESEARCH6b60c919-fc8f-4d2c-abbb-083ea4c21fb036b4131a-00f6-4d5b-9a6c-810eb6cab2f5Nov 2 05:00ZNov 2 05:00Z9%

Source families: NWS CLI CLIABQ product 202611031015-KABQ-CDUS45-CLIABQ · NWS CLI CLIATL product 202611030917-KFFC-CDUS42-CLIATL · NWS CLI CLIAUS product 202611030745-KEWX-CDUS44-CLIAUS · NWS CLI CLIBOS product 202611030525-KBOX-CDUS41-CLIBOS · NWS CLI CLIORD product 202611030659-KLOT-CDUS43-CLIORD · NWS CLI CLICLL product 202611030630-KHGX-CDUS44-CLICLL · NWS CLI CLICMH product 202611030542-KILN-CDUS41-CLICMH · NWS CLI CLIDFW product 202611030755-KFWD-CDUS44-CLIDFW · NWS CLI CLIDCA product 202611030727-KLWX-CDUS41-CLIDCA · NWS CLI CLIDEN product 202611030736-KBOU-CDUS45-CLIDEN · NWS CLI CLIEWR product 202611030619-KOKX-CDUS41-CLIEWR · NWS CLI CLIHOU product 202611030630-KHGX-CDUS44-CLIHOU. Market = Kalshi mid captured with each snapshot.

RESOLUTION RULE
Resolves on
The Weather Company (weather.com/kalshi) — The Weather Company daily precipitation for CLIDFW (weather.com/kalshi)
Independent check
NWS Daily Climate Report CLIDFW (WFO FWD); NOAA RCC-ACIS USW00003927
Measurement
Total liquid-equivalent precipitation for the climate day 2026-11-02, 00:00-24:00 local standard time (UTC-6)
Rounding
Hundredths of an inch; trace (T) counts as 0.00
Exceptions
Missing daily precipitation value counts as 0 inches (resolves NO) · Preliminary data may be revised; the exchange may hold expiration until a non-erroneous revision, else last fair price · Venue event strike_date (2026-11-03T04:59:59Z) is not the climate-day boundary; the reported daily value governs
If the total precipitation at CLIDFW in Dallas in Nov 2, 2026 is strictly greater than 0 inches, then the market resolves to Yes.
MODEL LIMITATIONS
  • Forecasts are published only before the climate day opens (no intraday observations in v1)
  • IEM NBM archive gaps -> GFS-only fallback tier
  • Settles on The Weather Company values; verified against NWS CLI 112/112

Weather · measurable rain — inputs: NWS GFS MOS + National Blend of Models 6-h PoP for the exact climate day, 1991-2020 station climatology (ACIS). This model on the research board →

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