Skip to main contentSkip to main content
NewsAnalysisTech LabF+GuidesDriversGlossaryAbout
The F1 FormulaThe F1 Formula

The F1 Formula

Your daily source for Formula 1 news, race results, and insights.

NewsAnalysisTech LabF+GuidesDriversGlossaryAbout

Explore

  • Drivers
  • Teams
  • Circuits
  • Grands Prix
  • Race Results
  • Head-to-Head
  • Driver Matchups
  • Team Matchups
  • Seasons
  • F1 Eras
  • F1 History
  • Glossary

Stay in the loop

Get the latest F1 news and race insights delivered to your inbox.

By subscribing, you agree to receive daily F1 news and updates from The F1 Formula. No spam. Unsubscribe anytime. Privacy Policy

The F1 Formula is an independent fan publication and is not affiliated with, endorsed by, or connected to Formula 1, the FIA, Liberty Media, or any Formula 1 team, driver, circuit, sponsor, or broadcaster. All trademarks are the property of their respective owners.

© 2026 Total Ventures LLC. All rights reserved.

Privacy PolicyTerms of ServiceTerms of SaleCookie Policy
Fernando Alonso 2023 Singapore GP Result: P15 from P7 | The F1 Formula
Fernando Alonso·Singapore Grand Prix·2023

Race result · 2023

Fernando Alonso at the 2023 Singapore Grand Prix

Fernando Alonso's 2023 Singapore Grand Prix saw him start from P7 but conclude the race in P15, failing to score points for Aston Martin after a challenging evening at the Marina Bay Street Circuit.

  • 15th
  • 0 pts
  • Aston Martin

The result

2023 Singapore

Fernando Alonso's 2023 Singapore Grand Prix was a stark contrast to his earlier season form, culminating in a P15 finish from a P7 grid start, marking a rare non-points outing for the Aston Martin driver. The weekend at the Marina Bay Street Circuit began under a cloud for the team, as his teammate, [Lance Stroll, did not start the race](/results/2019-marina-bay-lance-stroll) after a significant accident during qualifying. This placed additional pressure on Alonso to deliver a strong result for Aston Martin, a constructor that had shown considerable pace throughout the season. Starting from the fourth row, Alonso aimed to consolidate his position and capitalize on any opportunities that arose on the notoriously demanding street circuit.

The initial phase of the 62-lap race saw Alonso maintain his position amidst a tightly packed midfield. However, the race's dynamic nature, characterized by a Virtual Safety Car and a full Safety Car period, proved challenging for Aston Martin's strategy. A critical moment unfolded during a pit stop, where a slow tire change cost Alonso valuable track position, dropping him further down the order. This incident, combined with the strategic plays of competitors, particularly Mercedes' late-race charge with fresh medium tires, saw the AMR23 struggling to regain ground. Despite completing all 62 laps and demonstrating flashes of individual pace, including a fastest lap ranked 3rd overall on lap 47 with a time of "1:36.456", the overall race execution did not align with the team's typical performance benchmarks. This outcome was a significant deviation from the consistent points finishes Alonso had secured for much of the 2023 [Formula 1 season](https://www.formula1.com/en).

The complexities of the Marina Bay Street Circuit often lead to unpredictable outcomes, a characteristic that has historically challenged even seasoned drivers. Recalling [Fernando Alonso's 2019 Singapore Grand Prix](/results/2019-marina-bay-fernando-alonso), where he also faced strategic hurdles, underscores the circuit's demanding nature. This particular race also saw strong performances from drivers like Max Verstappen, who impressively climbed from P11 to P5, illustrating the potential for recovery when strategy and pace align. The race was ultimately won by Carlos Sainz Jr. for Ferrari, a testament to effective tire management and strategic foresight. For a deeper understanding of race data and performance metrics, detailed statistical archives provide comprehensive insights into past performances on the [FIA F1 World Championship circuit](https://www.fia.com/events/fia-formula-one-world-championship). The meticulous recording of race results, including lap times and positions, offers a robust [data source for F1 statistics](https://api.jolpi.ca/ergast/f1/2026.json). The challenges faced by Aston Martin in Singapore underscored the delicate balance required to succeed on street circuits, a sentiment echoed by other teams and drivers throughout the season. The team will undoubtedly be reviewing the telemetry and strategic decisions to understand the performance delta and prepare for upcoming rounds. The dynamic nature of [Formula One racing](https://en.wikipedia.org/wiki/Formula_One) means that every race presents a unique set of variables, and adapting to these is crucial for championship contention. The weekend's result was a stark reminder that even with a strong qualifying performance, race day execution is paramount. Drivers like [George Russell at the 2019 Singapore Grand Prix](/results/2019-marina-bay-george-russell) have also experienced the unforgiving nature of this circuit. Further analysis of current standings and upcoming races can be found on the [official Formula 1 website](https://www.formula1.com/en). Additionally, a broader context of the sport's evolution is available through [Wikipedia's comprehensive Formula One overview](https://en.wikipedia.org/wiki/Formula_One).

Grid
7th
Finish
15th
Points
0
Laps
62
Race time
1:48:05.021
Fastest lap
1:36.456
Race recap

Verified race record · Ergast

  • Grid

    P7

  • Finish

    P15

  • Points

    0

  • Laps

    62

  • Constructor

    Aston Martin

  • Status

    Finished

Teammate that weekend

Lance Stroll

Grid P0 · Accident in qualifying · 0 pts

Profile →

Championship · before vs after

Before round 15

P3170 pts

After round 15

P4170 pts

Data from Ergast·Race date 2023-09-17
Free download

Digging through race results? The free 2026 Cheat Sheet keeps every driver, team, and circuit at your fingertips.

Get the free cheatsheet →
Written by The F1 Formula Editorial Team, Race-week editors + sport historians
Last reviewed May 31, 2026