Match

Bromley vs Macclesfield: result 1-0 and analysis

National LeagueRegular Season - 11Kick-off on September 12, 2015 at 02:00 PM (UTC)RELOC8 EM Community Stadium, London

Bromley
1-0
Macclesfield

Full time

What was the result of Bromley vs Macclesfield?

Bromley won 1-0 on September 12, 2015.

Goalscorers

  • 76′B. MayBromley

Official lineup for Bromley vs Macclesfield

The starting elevens fielded at kick-off.

Bromley

  1. AA. Wall
  2. LL. Dennis
  3. BB. Goldberg
  1. MMax Porter
  2. AA. Fuseini
  3. JJ. Holland
  1. RRob Swaine
  2. BBen Chorley
  3. PPaul Rodgers
  4. JJoe Anderson
  1. AA. Julian

Macclesfield

  1. KK. Dennis
  2. CChris Holroyd
  1. DDaniel Martin Rowe
  2. DDanny Whitaker
  3. PP. Lewis
  4. DD. Whitehead
  1. GGeorge Pilkington
  2. AAndrew Thomas Halls
  3. TTony Diagne
  4. NN. Byrne
  1. SShwan Jalal
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Bromley have 6 wins, 3 draws and 6 defeats; Macclesfield have 4, 4 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Bromley
DateOpponentScoreCompetition
Sep 5, 2015Gateshead(home)3-0National League
Aug 31, 2015Forest Green(away)1-2National League
Aug 29, 2015Dover(home)1-1National League
Aug 22, 2015FC Halifax Town(away)2-2National League
Aug 18, 2015Braintree(home)1-2National League
Macclesfield
DateOpponentScoreCompetition
Sep 5, 2015Woking(home)2-1National League
Aug 31, 2015Grimsby(away)2-0National League
Aug 29, 2015Chester(home)1-2National League
Aug 22, 2015Eastleigh(away)0-1National League
Aug 18, 2015Lincoln(away)3-5National League

How many goals should we expect?

Bromley score 1.8 and concede 1.5 goals per match over their last 15; Macclesfield score 1.2 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bromley1.81.558/1511/15
Macclesfield1.21.448/158/15

Over the last 15 matches in all competitions.

A question about Bromley vs Macclesfield?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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