Dorking Wanderers vs Dagenham & Redbridge

4 November 2023 · National League · 2023/24 · Referee D Richardson

Full time 1 – 3

Half-time: 1–2

Match summary

Dagenham & Redbridge won 3-1 away at Dorking Wanderers. Dagenham & Redbridge led 2-1 at half-time.

Match stats

Dorking Wanderers Dagenham & Redbridge
3 Yellow Cards 1
0 Red Cards 0
0.74 xG 1.73
0.74 Non-penalty xG 1.73

Key events

Dorking Wanderers Dagenham & Redbridge
Kick-off
Half-time1-2
Full-time1-3

Goal details are not on file for this match.

Bookings

Card times are not on file for this game, so they are listed without a minute.

Dorking Wanderers
  • Barry Fuller
  • Josh Taylor
  • Daniel Pybus
Dagenham & Redbridge
  • Frank Vincent

Player stats

Players14 players
90′ – – – – – – –
Barry Fuller
90′ – – – – – –
Joe Cook Taken off
46′ – – – – – – –
George Francomb
90′ – – 1 0.07 – – –
Niall McManus Taken off
46′ – – 1 0.00 – – –
Josh Taylor
90′ – – – – – –
Daniel Gallagher
90′ – – 1 0.03 – – –
Daniel Pybus
90′ – – – – – –
Jimmy Muitt
90′ – – 2 0.18 – – –
Harry Leonard Ottaway
90′ 1 – – – – – –
Ryan Seager Taken off
61′ – – 1 0.06 – – –
Callum Kennedy Came on as a substitute
44′ – – – – – – –
Alfie Rutherford Came on as a substitute
44′ – – 1 0.05 – – –
James McShane Came on as a substitute
29′ – – 1 0.13 – – –
Came on Taken off Sent off Red is the most in that position for the team

Every player who took the pitch, starters first and then substitutes. A dash means none. xG and xA are expected goals and assists.

Before kick-off

Dorking Wanderers win 31% Avg odds 2.99
Draw 27% Avg odds 3.41
Dagenham & Redbridge win 42% Avg odds 2.19

Chances implied by the average closing odds, with the bookmaker margin removed.

Form going into the game

Last five league games before this one, oldest first. Select one to open it.

Previous and next meeting

Shots, expected goals, timeline, lineups, team and player statistics from Bzzoiro Sports Data (sports.bzzoiro.com). Results and odds from football-data.co.uk. Referee data before 2025/26 from the Transfermarkt datasets project.