2. Division Denmark Regular Season - 14 Nov 2 2025 12:00 MTM Service Park

Naestved Home team

finished 2-1 Match Finished Kickoff · November 2 2025 at 12:00

FC Helsingor Away team

Fixture events

Events improve post-match history and future player/team analysis.

Goal · Own Goal Naestved · M. Brems

79'

Card · Yellow Card FC Helsingor · Dimitri Kassekar

79'

Card · Red Card FC Helsingor · Dimitri Kassekar

85'

Goal · Normal Goal Naestved · Marius Olofsen Christiansen

90'

Goal · Normal Goal FC Helsingor · T. Nielsen

Head to head

13:00 Finished

Home team Naestved 1-1 vs Away team FC Helsingor

Club Friendlies Club Friendly

17:00 Finished

Home team FC Helsingor 1-2 vs Away team Naestved

2. Division Regular Season - 8 · Helsingør Ny Stadion OPV

recent form

Naestved FC Helsingor

Naestved vs FC Helsingor

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API team snapshot

API comparison

Home team Naestved

Away team FC Helsingor

AI match analysis

This fixture has synced API-Football prediction data; premium AI adds local reasoning, uncertainty review and data-quality checks.

Home 50%

Draw 50%

Away 0%

API adviceDouble chance : Naestved or draw

Model edgeNaestved · Win or draw

AI prediction

Unlock model evidence, uncertainty review, data signals and AI analyst chat.

Preview of the locked analysis

Naestved vs FC Helsingor in 2. Division already has enough context for a first read: recent form is 5-0-1 vs 1-0-5, H2H sample contains 2 matches, and 0 fixture-linked injuries are visible. The full AI analysis weighs home/away context, goal trends, squads, transfers, provider signals, API prediction signals and missing-data risk before assigning informational probabilities.

Recent form6/6

Head to head2

Squads23/18

Injuries0

Predictions1

Provider signals0

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Match preview

Naestved face FC Helsingor in 2. Division (Denmark) on November 2 2025 at 12:00. The match is part of Regular Season - 14 and is listed at MTM Service Park in Næstved. Current match status is Match Finished. This page brings together team links, recent form, H2H, squads, injuries, data coverage and AI analysis signals for pre-match research.