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Bromley 3-0 Cheltenham – Result & Analysis

🎯

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League Two · Regular Season - 46

Kick-off

Sat 3 May 2025

15:00

Venue

Hayes Lane

Competition

League Two

England

Status

FT
💬 Comment 📝 Notes
📋

Poisson model rates Bromley at 48%, yet other data sources diverge — this Bromley vs Cheltenham fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Cheltenham make the trip to Hayes Lane to face Bromley in League Two, Regular Season - 46. The match kicks off on Saturday 3 May 2025 at 15:00 UTC.

Form

Bromley (all games): 3W 3D 4L across 10 League Two fixtures this term — 1.20 PPG. Last five: W L W W D. Offensively they are averaging 1.60 goals per game, with 1.80 conceded. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Bromley's home record at Hayes Lane: 5W 1D 4L from 10 League Two appearances (1.60 PPG). At home they are averaging 1.30 goals scored and 0.90 conceded per game. 5 clean sheets from 10 home games (50%) — they are an exceptionally hard side to score against at Hayes Lane. At home, both teams have scored in only 20% of games — reinforcing BTTS No as the home-venue-backed angle.

Cheltenham's overall League Two record this term: 4W 2D 4L from 10 games (1.40 PPG). Last five: L W D W W. Their scoring rate of 1.40 per game is modest, conceding 1.70 — not a side to back heavily on the Over 2.5 from their form alone. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market.

Cheltenham's away record: 4W 2D 4L from 10 road trips in League Two this season (1.40 PPG). Away from home they average 1.30 goals scored and 1.60 conceded per game.

Both sides are running at similar form levels — 1.20 PPG for Bromley against 1.40 for Cheltenham. There is no clear form edge to exploit here; other signals need to take the lead.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 1 meetings: Bromley 0W, Cheltenham 0W, 1D.

The 1 previous meetings have averaged 2.0 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 9 Nov 2024, ended 1–1 with a draw.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Data

Bromley goal-timing and half-time pattern breakdown (45 games, 22 at home): they score before half-time in 59% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; BTTS occurs in 54% of their matches (home games); Over 2.5 goals lands in 41% of games (home games).

Cheltenham goal-timing and half-time pattern breakdown (45 games, 22 at away): they score before half-time in 77% of fixtures in away games; when goalless at HT, a second-half goal follows 86% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 59% of their matches (away games); Over 2.5 goals lands in 64% of games (away games).

BTTS rates are mixed from the trading data — Bromley 53% versus Cheltenham 60%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Bromley 44% | Cheltenham 51%).

Poisson Model

The Poisson distribution model projects Bromley 1.68 xG and Cheltenham 1.19 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Bromley attack 1.030 / defence 0.992 | Cheltenham attack 1.052 / defence 1.236. League average goals — home 1.316 / away 1.138. Cheltenham bring a strong defensive rating of 1.236 — this is suppressing Bromley's projected output below what their attack strength alone would suggest. Data: 45 Bromley games / 45 Cheltenham games used (CurrentSeason).

Result probabilities: Bromley 48% | Draw 25% | Cheltenham 26%. Fair-value odds: Bromley 2.08 | Draw 4.00 | Cheltenham 3.85. Bromley hold a narrow Poisson edge at 48% — the draw (25%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 55% | BTTS probability 57% | Total xG 2.86. Over 2.5 holds a meaningful probability edge at 55% — the 2.86 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 57% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Bromley as the most likely outcome at 48% — moderate model lean. Draw probability of 25% warrants consideration of Double Chance or Draw No Bet on Bromley if the outright odds are short.

The Poisson model projects 2.86 xG in total — Over 2.5 at 55% — Poisson-only — limited corroboration confidence.

Poisson assigns a 57% probability to BTTS Yes based on the attack/defence strength model. This conflicts with form data: Bromley 20% | Cheltenham 40% from recent games — a notable divergence.

🔮 Your Prediction

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💡 Key Insights

H2H The H2H record is evenly balanced (0W–1D–0W), with no clear historical advantage.
BTTS H2H BTTS 100% and Poisson BTTS 57% — two-way scoring is the dominant historical and model-backed outcome.
Form Bromley Poisson xG (1.68) exceeds their recent form scoring rate (1.30) — the model sees more attacking threat than recent results show.
Goals Form only shows ~1.9 goals/game but Poisson xG sum is 2.86 — underlying strength metrics suggest more goals than form results indicate.

🏟️ Match Context

• Fixture: Bromley vs Cheltenham | Competition: League Two, Regular Season - 46 | Venue: Hayes Lane • Kick-off: Saturday 3 May 2025, 15:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Bromley 48% | Draw 25% | Cheltenham 26% • Poisson goal markets: Over 2.5 55% | BTTS 57% | xG Bromley 1.68 / Cheltenham 1.19 • Poisson strength factors: Bromley attack 1.030 / def 0.992 | Cheltenham attack 1.052 / def 1.236 | league avg home 1.316 / away 1.138 • Poisson stance: Bromley (48%) — moderate lean

🧮 Prediction Model

1.68

Bromley xG

Expected Goals

1.19

Cheltenham xG

48%
25%
26%
Bromley Draw Cheltenham

57%

BTTS

79%

Over 1.5

55%

Over 2.5

32%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Frequently Asked Questions

What time does Bromley vs Cheltenham kick off?

Bromley vs Cheltenham kicked off at 15:00 on Saturday 3 May 2025 at Hayes Lane.

What was the final score in Bromley vs Cheltenham?

Bromley 3 - 0 Cheltenham.

Where is Bromley vs Cheltenham being played?

The match is being played at Hayes Lane.

What competition is Bromley vs Cheltenham part of?

Bromley vs Cheltenham is a Regular Season - 46 fixture in the League Two (England).

Who is favourite to win Bromley vs Cheltenham?

Our statistical model gives Bromley a 48% chance of winning, Cheltenham a 26% chance, and a 25% chance of a draw — making Bromley the favourite.

Will both teams score in Bromley vs Cheltenham?

Our model estimates a 57% probability that both Bromley and Cheltenham will score (BTTS).

Will Bromley vs Cheltenham have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 55%.

What is the head-to-head record between Bromley and Cheltenham?

Record (1 meetings): Bromley 0W | Draws 1 | Cheltenham 0W.

What form are Bromley and Cheltenham in?

Bromley (all comps): 3W-3D-4L in 10 | 1.20 PPG | GF 1.60 / GA 1.80 | L5 W-L-W-W-D. Cheltenham (all comps): 4W-2D-4L in 10 | 1.40 PPG | GF 1.40 / GA 1.70 | L5 L-W-D-W-W.

🧮 Model Insight

Where the Numbers Come From

Working from Bromley's attack rating (1.03) and Cheltenham's defence rating (1.24), the model arrives at 1.68 expected goals for the home side. Flip it around — Cheltenham's attack (1.05x) against Bromley's defence (0.99x) — and the away total comes out at 1.19.

These ratings are built from 45/45 games of current-season data — a full enough sample to trust.

The Exact-Score Picture

Run the expected-goals figures through the full scoreline distribution and 1-1 emerges as the single most likely result, at 12.8%. Close behind: 2-1 (9.5%), 1-0 (8.1%). Those top three scorelines alone account for 30% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.

Most Likely Outcome

Bromley Win

48%

Bromley

2.08

25%

Draw

3.94

26%

Cheltenham

3.78

Top 3 Most Likely Scorelines

1 – 1

11.4%

Draw

Most likely

1 – 0

9.6%

Home win

2 – 1

9.5%

Home win

Expected Goals & Win Odds

1.68

Bromley xG

Total xG

2.86

1.19

Cheltenham xG

48%
25%
26%
BromleyDrawCheltenham

2.08

48%

Home win

3.94

25%

Draw

3.78

26%

Away win

Goals Markets

78%

Over 1.5

1.28

22%

Under 1.5

4.55

55%

Over 2.5

1.82

45%

Under 2.5

2.22

32%

Over 3.5

3.12

68%

Under 3.5

1.47

16%

Over 4.5

6.25

84%

Under 4.5

1.19

Match Markets

Both Teams to Score

57%

BTTS Yes

1.75

43%

BTTS No

2.33

Clean Sheet

30%

Bromley

3.28

19%

Cheltenham

5.34

Win to Nil

15%

Bromley

6.81

5%

Cheltenham

20.20

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 5.7 6.8 4.0 1.6 0.5 0.1
1 9.6 11.4 6.7 2.7 0.8 0.2
2 8.0 9.5 5.7 2.2 0.7 0.2
3 4.5 5.3 3.2 1.3 0.4 0.1
4 1.9 2.2 1.3 0.5 0.2
5 0.6 0.7 0.4 0.2 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score

Model Internals
λ Home (xG) 1.676
λ Away (xG) 1.188
Total xG 2.864
League avg home goals 1.316
League avg away goals 1.138
Bromley attack strength 1.030
Bromley defence strength 0.992
Cheltenham attack strength 1.052
Cheltenham defence strength 1.236
Data phase CurrentSeason
Games used (H/A) 45 / 45

❓ Frequently Asked Questions

What is the most likely scoreline for Bromley vs Cheltenham?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.8%.

How many goals are Bromley and Cheltenham expected to score?

The model projects 1.68 expected goals for Bromley and 1.19 for Cheltenham, a combined total of 2.86.

How confident is the prediction model for Bromley vs Cheltenham?

Not very — the model's leading outcome sits at just 48%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

Recent Form Overview

Across their last 45 outings, Bromley have picked up 1.40 PPG on a 16W 15D 14L record — W-L-W-W-D across the most recent five.

Cheltenham's form line: 16W 12D 17L from 45 games, 1.33 PPG, last five L-W-D-W-W.

There isn't much between them on recent form — 1.40 PPG for Bromley against 1.33 for Cheltenham. Neither side arrives with a clear form advantage.

How They Fare by Venue

On home soil, Bromley have posted 1.41 PPG from 22 outings (8W 7D 7L).

On the road, Cheltenham have gone 6W 6D 10L from 22 away games — 1.09 PPG when travelling.

Attack vs Defence

Bromley are averaging 1.36 goals scored and 1.31 conceded per game recently; Cheltenham are on 1.33 scored and 1.49 conceded.

On BTTS specifically: Cheltenham in 60%.

Last 45 Results — League Two

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

Bromley

Bromley

Current Season
W L W W D
Cheltenham

Cheltenham

Current Season
L W D W W
45 Played 45
16/15/14 W / D / L 16/12/17
1.40 Points Per Game 1.33
1.36 Avg Goals Scored 1.33
1.31 Avg Goals Conceded 1.49
2.67 Avg Goals / Game 2.82
15 Clean Sheets 8
24 BTTS 27
20 Over 2.5 Games 23
Bromley

Bromley

D
A Barrow
3–3 HT 0–1
26 Apr
W
A Swindon Town
1–0 HT 0–0
21 Apr
W
H Morecambe
1–0 HT 0–0
18 Apr
L
A Port Vale
0–5 HT 0–2
12 Apr
W
H Accrington ST
4–0 HT 1–0
05 Apr
D
A Newport County
1–1 HT 0–1
01 Apr
L
H Salford City
2–3 HT 1–2
29 Mar
L
A Carlisle
1–2 HT 1–1
22 Mar
D
H Walsall
2–2 HT 1–1
13 Mar
L
A Tranmere
1–2 HT 1–1
08 Mar
W
H Doncaster
1–0 HT 1–0
04 Mar
W
A AFC Wimbledon
1–0 HT 0–0
01 Mar
L
H Bradford
0–1 HT 0–0
25 Feb
W
H Harrogate Town
2–0 HT 2–0
22 Feb
W
H Fleetwood Town
1–0 HT 0–0
15 Feb
W
A Milton Keynes Dons
1–0 HT 0–0
08 Feb
D
A Salford City
3–3 HT 2–0
04 Feb
L
H Grimsby
0–2 HT 0–0
01 Feb
L
A Chesterfield
0–3 HT 0–1
28 Jan
D
A Notts County
1–1 HT 0–0
25 Jan
L
H Colchester
0–1 HT 0–1
18 Jan
L
A Crewe
1–4 HT 1–3
05 Jan
W
A Gillingham
3–0 HT 2–0
02 Jan
D
H Swindon Town
1–1 HT 0–0
29 Dec
W
H Newport County
5–2 HT 2–0
26 Dec
W
A Morecambe
2–0 HT 1–0
21 Dec
D
H Port Vale
0–0 HT 0–0
14 Dec
W
A Accrington ST
2–1 HT 1–1
07 Dec
W
H Gillingham
2–1 HT 0–0
04 Dec
D
A Walsall
2–2 HT 0–1
26 Nov
D
H Carlisle
1–1 HT 0–0
16 Nov
D
A Cheltenham
1–1 HT 0–0
09 Nov
D
H Barrow
1–1 HT 0–1
26 Oct
W
A Doncaster
1–0 HT 1–0
22 Oct
L
H Tranmere
1–2 HT 0–0
19 Oct
D
A Fleetwood Town
0–0 HT 0–0
05 Oct
D
H Chesterfield
2–2 HT 1–2
01 Oct
D
H Milton Keynes Dons
1–1 HT 1–1
28 Sep
L
A Grimsby
0–1 HT 0–0
21 Sep
L
H Notts County
2–4 HT 2–1
14 Sep
D
A Colchester
1–1 HT 1–0
07 Sep
L
H Crewe
1–2 HT 1–0
31 Aug
L
A Bradford
1–3 HT 0–2
24 Aug
W
H AFC Wimbledon
2–0 HT 1–0
17 Aug
W
A Harrogate Town
2–0 HT 0–0
10 Aug
Cheltenham

Cheltenham

W
H Carlisle
3–2 HT 2–1
26 Apr
W
A Notts County
2–1 HT 0–1
21 Apr
D
H Gillingham
1–1 HT 1–1
18 Apr
W
A Crewe
3–2 HT 1–1
10 Apr
L
H Doncaster
0–2 HT 0–0
05 Apr
L
A Morecambe
0–2 HT 0–0
01 Apr
L
A Tranmere
0–2 HT 0–1
28 Mar
L
H Milton Keynes Dons
0–1 HT 0–1
22 Mar
D
A Swindon Town
3–3 HT 1–1
15 Mar
W
A AFC Wimbledon
2–1 HT 1–1
11 Mar
L
H Colchester
0–1 HT 0–0
08 Mar
L
A Bradford
0–3 HT 0–1
04 Mar
D
H Grimsby
1–1 HT 1–0
01 Mar
D
H Walsall
2–2 HT 0–1
25 Feb
W
A Newport County
3–0 HT 1–0
22 Feb
W
H Barrow
3–2 HT 0–1
15 Feb
L
A Fleetwood Town
0–2 HT 0–1
08 Feb
W
H Chesterfield
1–0 HT 0–0
01 Feb
D
A Accrington ST
0–0 HT 0–0
28 Jan
W
H Salford City
2–1 HT 1–0
25 Jan
L
A Harrogate Town
0–2 HT 0–1
17 Jan
D
A Port Vale
0–0 HT 0–0
01 Jan
L
H Notts County
3–5 HT 1–2
29 Dec
W
H Crewe
2–1 HT 0–0
26 Dec
D
A Gillingham
2–2 HT 1–1
20 Dec
W
H Morecambe
2–0 HT 1–0
14 Dec
D
A Doncaster
2–2 HT 1–0
07 Dec
D
H Port Vale
1–1 HT 0–0
03 Dec
W
H Tranmere
1–0 HT 0–0
22 Nov
L
A Milton Keynes Dons
2–3 HT 2–1
16 Nov
D
H Bromley
1–1 HT 0–0
09 Nov
W
A Carlisle
1–0 HT 1–0
26 Oct
D
H Bradford
1–1 HT 1–1
22 Oct
W
A Colchester
2–1 HT 2–1
19 Oct
L
H Swindon Town
2–3 HT 0–2
12 Oct
L
A Barrow
1–2 HT 1–0
05 Oct
W
H Accrington ST
2–1 HT 0–1
01 Oct
L
H Fleetwood Town
0–2 HT 0–1
28 Sep
D
A Chesterfield
1–1 HT 0–1
21 Sep
L
A Salford City
1–2 HT 0–0
14 Sep
W
H Harrogate Town
1–0 HT 0–0
07 Sep
L
A Walsall
1–2 HT 0–0
31 Aug
L
H AFC Wimbledon
0–1 HT 0–0
24 Aug
L
A Grimsby
2–3 HT 0–1
17 Aug
W
H Newport County
3–2 HT 2–2
10 Aug

❓ Frequently Asked Questions

What form are Bromley and Cheltenham in coming into this match?

Bromley have gone 16W 15D 14L in their last 45 games (1.40 PPG), while Cheltenham have gone 16W 12D 17L in their last 45 (1.33 PPG).

Which team has the better venue record — Bromley at home or Cheltenham away?

Bromley's home record (1.41 PPG) is the stronger of the two venue-specific splits — Bromley at home: 1.41 PPG; Cheltenham away: 1.09 PPG.

Have Bromley or Cheltenham been keeping clean sheets recently?

Bromley have kept a clean sheet in 33% of their recent games, Cheltenham in 18%.

⚔️ Rivalry Insight

The Rivalry So Far

These sides have met 4 times that we have on record, stretching back to November 2024 — a rivalry that has played out across roughly 1 year. Every recorded meeting has come in League Two. They last met on 17 February 2026, roughly 6 months ago.

Notable Numbers

For context on how one-sided this fixture can get: Bromley won 3-0 on 3 May 2025, the biggest margin either side has managed in the series.

Specifically as hosts in this fixture, Bromley have gone 1W 1D 0L from 2 meetings on their own ground against Cheltenham — worth weighing alongside the overall series record.

Last 4 Meetings

Bromley

2

Bromley

2

Draws

Cheltenham

0

Cheltenham

Recent Meetings

Bromley
1–1
17 Feb 26
Cheltenham
Cheltenham
1–2
19 Aug 25
Bromley
Bromley
3–0
03 May 25
Cheltenham
Cheltenham
1–1
09 Nov 24
Bromley

❓ Frequently Asked Questions

What is the head-to-head record between Bromley and Cheltenham?

From 4 meetings on record, Bromley have won 2, Cheltenham have won 0, and 2 have been drawn.

When did Bromley and Cheltenham last play each other?

They last met on 17 February 2026, when Bromley 1-1 Cheltenham.

Who has won more matches between Bromley and Cheltenham?

Bromley have the better head-to-head record, with 2 wins from 4 meetings.

📈 Trading Insight

Early Goal Trends

Bromley see a goal before the break in 59% of their matches. They've gone in front at half-time 32% of the time.

Cheltenham are typically involved in an early goal — the half-time board shows at least one in 77% of their matches. They've gone in front at half-time 27% of the time.

Full-Time Markets

BTTS sits in mixed territory for this pairing — Bromley 54%, Cheltenham 59% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 41% (Bromley) and 64% (Cheltenham).

On the defensive side: Bromley keep a clean sheet in 32% of their matches; Cheltenham in 32%.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = Bromley home games / Cheltenham away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

Bromley Bromley Current Season
Metric All
(45 games)
Venue
(22 games)
Half-Time Metrics
1+ Goal Before HT 28/45
(62.2%)
13/22
(59.1%)
2+ Goals Before HT 15/45
(33.3%)
7/22
(31.8%)
0-0 HT → 1+ Goal 2nd Half 15/17
(88.2%)
8/9
(88.9%)
0-0 HT → 2+ Goals 2nd Half 8/17
(47.1%)
5/9
(55.6%)
Winning at HT 12/45
(26.7%)
7/22
(31.8%)
Lost Lead (Win HT → No Win FT) 4/45
(8.9%)
2/22
(9.1%)
Came From Behind (Lose HT → Draw/Win FT) 5/45
(11.1%)
2/22
(9.1%)
Full-Time Metrics
BTTS 24/45
(53.3%)
12/22
(54.5%)
Over 2.5 Goals 20/45
(44.4%)
9/22
(40.9%)
Over 3.5 Goals 12/45
(26.7%)
6/22
(27.3%)
Clean Sheet 15/45
(33.3%)
7/22
(31.8%)
Failed to Score 8/45
(17.8%)
4/22
(18.2%)
Cheltenham Cheltenham Current Season
Metric All
(45 games)
Venue
(22 games)
Half-Time Metrics
1+ Goal Before HT 31/45
(68.9%)
17/22
(77.3%)
2+ Goals Before HT 12/45
(26.7%)
6/22
(27.3%)
0-0 HT → 1+ Goal 2nd Half 12/14
(85.7%)
3/5
(60%)
0-0 HT → 2+ Goals 2nd Half 7/14
(50%)
3/5
(60%)
Winning at HT 10/45
(22.2%)
6/22
(27.3%)
Lost Lead (Win HT → No Win FT) 4/45
(8.9%)
3/22
(13.6%)
Came From Behind (Lose HT → Draw/Win FT) 5/45
(11.1%)
2/22
(9.1%)
Full-Time Metrics
BTTS 27/45
(60%)
13/22
(59.1%)
Over 2.5 Goals 23/45
(51.1%)
14/22
(63.6%)
Over 3.5 Goals 12/45
(26.7%)
6/22
(27.3%)
Clean Sheet 8/45
(17.8%)
4/22
(18.2%)
Failed to Score 12/45
(26.7%)
7/22
(31.8%)

❓ Frequently Asked Questions

Do both teams usually score when Bromley play Cheltenham?

Yes — based on recent matches, both teams have scored in 54% of Bromley's games and 59% of Cheltenham's, a combined rate that favours BTTS Yes.

Is Bromley vs Cheltenham usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 41% of Bromley's recent games and 64% of Cheltenham's, pointing to a tighter contest.

Do Bromley and Cheltenham tend to score early?

Bromley have had a goal before half-time in 59% of their recent matches, Cheltenham in 77% — a useful reference point for first-half goal markets.

📰

Dominant Bromley run riot with a 3-0 hammering of Cheltenham.

📝 Match Report

How It Unfolded

Bromley beat Cheltenham 3-0 at Hayes Lane, Regular Season - 46, in the League Two. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Bromley 1.68 xG and Cheltenham 1.19 xG, a combined 2.86. The scoreboard read 3-0 for 3 actual goals. Bromley beat their projection by 1.3 — clinical relative to the chances the model priced in. Cheltenham landed 1.2 under their projected return. Those figures were built on strength ratings of Bromley attack 1.03 / defence 0.99 against Cheltenham attack 1.05 / defence 1.24, drawn from 45/45 games (CurrentSeason).

On the result, the model split it Bromley 48% | Draw 25% | Cheltenham 26%, with Bromley to win its most likely call at 48%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 55%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 79% and landed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 48% Over 2.5 across their same-competition games (Bromley 44%, Cheltenham 51%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 57%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Bromley's trading profile (45 games, 22 home) set some clear expectations: BTTS lands in 53% of their matches — today it did not; they keep a clean sheet 33% of the time, and duly kept one.

Cheltenham's trading profile (45 games, 22 away) set some clear expectations: BTTS lands in 60% of their matches — today it did not; they fail to score in 27% of games, a blank that repeated today.

Form vs Result

The form lines were close — Bromley 1.40 PPG, Cheltenham 1.33 PPG — offering no strong steer, and the Bromley win broke the near-deadlock. Bromley (home/away splits) scored 3 against a 1.45 average — above their attacking norm and conceded 0 against a 1.18 average — tighter than their form line. Cheltenham (home/away splits) managed 0 against a 1.27 scoring average — below par going forward and shipped 3 against a 1.64 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (miss). Partial vindication: some calls landed, others slipped.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 55% Over 2.5 probability, 3 goals scored.
Model BTTS bucked the model — 57% projected, one side was shut out.
Trading Trading data bucked — 48% historical Over 2.5 rate, but the game went over.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.