Birmingham 3-2 Peterborough – Result & Analysis
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Poisson model rates Peterborough at 43%, yet in-form Birmingham provide a compelling counter-argument — this Birmingham vs Peterborough fixture contains genuine analytical tension.
✍️ Match Preview
Analysis
Peterborough make the trip to St. Andrew's @ Knighthead Park to face Birmingham in League One, Regular Season - 8. The match kicks off on Saturday 28 September 2024 at 15:00 UTC.
Form
Birmingham (all games): 7W 3D 0L across 10 League One fixtures this term — 2.40 PPG. Last five: W W W W W. Offensively they are averaging 1.80 goals per game, with 0.70 conceded. Defensively, conceding just 0.70 per game is an exceptional defensive record — one of the tightest in the division. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Birmingham have played only a handful of League One games so far this season, so this record also draws on matches from last season.
At home at St. Andrew's @ Knighthead Park, Birmingham have gone 5W 1D 4L this season (10 games, 1.60 PPG). At home they are averaging 1.40 goals scored and 1.00 conceded per game. Somewhat surprisingly, their home PPG of 1.60 lags behind their overall 2.40 — the home advantage has not translated into superior results at St. Andrew's @ Knighthead Park this season.
Peterborough's overall League One record this term: 3W 4D 3L from 10 games (1.30 PPG). Last five: W L D W D. They are scoring at 1.60 per game and conceding 1.60. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. Peterborough have played only a handful of League One games so far this season, so this record also draws on matches from last season.
Peterborough away from home this season: 6W 1D 3L from 10 away games — 1.90 PPG on the road. Away from home they average 1.60 goals scored and 1.40 conceded per game. Their away PPG of 1.90 exceeds their overall 1.30 — they actually perform better on the road than their aggregate form implies.
Form favours the hosts. Birmingham's 2.40 PPG return is 1.10 points per game ahead of Peterborough's 1.30 — a genuine gap in recent results that provides a statistically grounded case for backing the home side.
H2H History
The head-to-head record is closely matched — Birmingham lead 0W to 1W over the last 2 encounters, with 1 draws, though neither side has established a commanding advantage.
These two sides have produced goals at a consistent rate historically, averaging 3.5 per game across 2 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 25 Jan 2022, ended 2–2 with a draw.
With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.5 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.
Trading
Birmingham half-time and goal-timing data (52 games, 25 at home): they score before half-time in 72% of fixtures in home games; when goalless at HT, a second-half goal follows 76% of the time; BTTS occurs in 56% of their matches (home games); Over 2.5 goals lands in 52% of games (home games); they fail to score in 31% of games.
Peterborough half-time and goal-timing data (52 games, 25 at away): they score before half-time in 72% of fixtures in away games; when goalless at HT, a second-half goal follows 90% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 64% of their matches (away games); Over 2.5 goals lands in 60% of games (away games); Over 3.5 in 42%.
BTTS rates are mixed from the trading data — Birmingham 54% versus Peterborough 64%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Birmingham 48% | Peterborough 65%).
Poisson Model
The Poisson distribution model projects Birmingham 1.54 xG and Peterborough 1.77 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: Birmingham attack 1.108 / defence 1.042 | Peterborough attack 1.319 / defence 1.068. League average goals — home 1.304 / away 1.286. Peterborough have an above-average attack strength of 1.319 — the away xG of 1.77 is driven by genuine attacking quality on the road. Data: 6 Birmingham games / 53 Peterborough games used (CurrentSeason).
Result probabilities: Birmingham 33% | Draw 24% | Peterborough 43%. Fair-value odds: Birmingham 3.03 | Draw 4.17 | Peterborough 2.33. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.
Goals markets: Over 2.5 probability 64% | BTTS probability 66% | Total xG 3.31. Over 2.5 holds a meaningful probability edge at 64% — the 3.31 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 66% reflects that both xG figures (1.54 / 1.77) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.
Verdict
The Poisson model's primary lean is Peterborough at 43% — marginal model lean. Note a divergence: in-form Birmingham (2.40 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. Draw probability of 24% warrants consideration of Double Chance or Draw No Bet on Peterborough if the outright odds are short. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.
The Poisson model projects 3.31 xG in total — Over 2.5 at 64% — reasonable confidence, supported by form averaging 2.7 goals per game.
Poisson assigns a 66% probability to BTTS Yes based on the attack/defence strength model. Form rates are neutral: Birmingham 40% | Peterborough 50%.
The outsider holds a 33% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.
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💡 Key Insights
🏟️ Match Context
• Fixture: Birmingham vs Peterborough | Competition: League One, Regular Season - 8 | Venue: St. Andrew's @ Knighthead Park • Kick-off: Saturday 28 Sep 2024, 15:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Birmingham 33% | Draw 24% | Peterborough 43% • Poisson goal markets: Over 2.5 64% | BTTS 66% | xG Birmingham 1.54 / Peterborough 1.77 • Poisson strength factors: Birmingham attack 1.108 / def 1.042 | Peterborough attack 1.319 / def 1.068 | league avg home 1.304 / away 1.286 • Poisson stance: Peterborough (43%) — low confidence — close contest
🧮 Prediction Model
1.54
Birmingham xG
Expected Goals
1.77
Peterborough xG
66%
BTTS
85%
Over 1.5
64%
Over 2.5
42%
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 Birmingham vs Peterborough kick off?
Birmingham vs Peterborough kicked off at 15:00 on Saturday 28 September 2024 at St. Andrew's @ Knighthead Park.
What was the final score in Birmingham vs Peterborough?
Birmingham 3 - 2 Peterborough.
Where is Birmingham vs Peterborough being played?
The match is being played at St. Andrew's @ Knighthead Park.
What competition is Birmingham vs Peterborough part of?
Birmingham vs Peterborough is a Regular Season - 8 fixture in the League One (England).
Who is favourite to win Birmingham vs Peterborough?
Our statistical model gives Birmingham a 33% chance of winning, Peterborough a 43% chance, and a 24% chance of a draw — making Peterborough the favourite.
Will both teams score in Birmingham vs Peterborough?
Our model estimates a 66% probability that both Birmingham and Peterborough will score (BTTS).
Will Birmingham vs Peterborough have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 64%.
What is the head-to-head record between Birmingham and Peterborough?
Record (2 meetings): Birmingham 0W | Draws 1 | Peterborough 1W.
What form are Birmingham and Peterborough in?
Birmingham (all comps): 7W-3D-0L in 10 | 2.40 PPG | GF 1.80 / GA 0.70 | L5 W-W-W-W-W. Peterborough (all comps): 3W-4D-3L in 10 | 1.30 PPG | GF 1.60 / GA 1.60 | L5 W-L-D-W-D.
🧮 Model Insight
Where the Numbers Come From
Working from Birmingham's attack rating (1.11) and Peterborough's defence rating (1.07), the model arrives at 1.54 expected goals for the home side. Flip it around — Peterborough's attack (1.32x) against Birmingham's defence (1.04x) — and the away total comes out at 1.77.
These ratings are built from 6/53 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 11.2%. Close behind: 1-2 (8.8%), 2-1 (7.7%). Together the top three scorelines make up 28% of the probability — a moderately spread distribution, typical of a competitive match-up.
Most Likely Outcome
Peterborough Win
33%
2.99
24%
4.23
43%
2.33
Top 3 Most Likely Scorelines
1 β 1
9.9%
Draw
Most likely
1 β 2
8.8%
Away win
2 β 1
7.7%
Home win
Expected Goals & Win Odds
1.54
Birmingham xG
Total xG
3.31
1.77
Peterborough xG
2.99
33%
Home win
4.23
24%
Draw
2.33
43%
Away win
Goals Markets
84%
Over 1.5
1.19
16%
Under 1.5
6.25
64%
Over 2.5
1.56
36%
Under 2.5
2.78
42%
Over 3.5
2.38
58%
Under 3.5
1.72
24%
Over 4.5
4.17
76%
Under 4.5
1.32
Match Markets
Both Teams to Score
66%
BTTS Yes
1.52
34%
BTTS No
2.91
Clean Sheet
17%
5.86
21%
4.68
Win to Nil
6%
17.53
9%
10.91
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 3.6 | 6.4 | 5.7 | 3.4 | 1.5 | 0.5 |
| 1 | 5.6 | 9.9 | 8.8 | 5.2 | 2.3 | 0.8 |
| 2 | 4.3 | 7.7 | 6.8 | 4.0 | 1.8 | 0.6 |
| 3 | 2.2 | 4.0 | 3.5 | 2.1 | 0.9 | 0.3 |
| 4 | 0.9 | 1.5 | 1.3 | 0.8 | 0.4 | 0.1 |
| 5 | 0.3 | 0.5 | 0.4 | 0.2 | 0.1 | – |
Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
What is the most likely scoreline for Birmingham vs Peterborough?
Our Poisson model rates 1-1 as the single most likely exact scoreline, at 11.2%.
How many goals are Birmingham and Peterborough expected to score?
The model projects 1.54 expected goals for Birmingham and 1.77 for Peterborough, a combined total of 3.31.
How confident is the prediction model for Birmingham vs Peterborough?
Not very — the model's leading outcome sits at just 43%, meaning this is rated as a genuinely open contest with no dominant favourite.
📈 Form Insight
Recent Form Overview
Birmingham's recent record stands at 18W 12D 22L from 52 games, a 1.27 PPG return, with W-W-W-W-W in the last five. It's still early in the season for Birmingham, so this record blends in a handful of games from last season too.
Peterborough, meanwhile, have gone 25W 12D 15L across 52 games — 1.67 PPG, with W-L-D-W-D in their last five. It's still early in the season for Peterborough, so this record blends in a handful of games from last season too.
There isn't much between them on recent form — 1.27 PPG for Birmingham against 1.67 for Peterborough. Neither side arrives with a clear form advantage.
How They Fare by Venue
At home specifically, Birmingham have managed 11W 7D 7L from 25 games — 1.60 PPG in front of their own supporters.
Peterborough's away record stands at 12W 5D 8L across 25 trips, a 1.64 PPG haul.
Attack vs Defence
Birmingham are averaging 1.21 goals scored and 1.37 conceded per game recently; Peterborough are on 1.87 scored and 1.40 conceded.
On BTTS specifically: Peterborough in 63%.
Last 52 Results — League One
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Birmingham
Early Season
Peterborough
Early Season
❓ Frequently Asked Questions
What form are Birmingham and Peterborough in coming into this match?
Birmingham have gone 18W 12D 22L in their last 52 games (1.27 PPG), while Peterborough have gone 25W 12D 15L in their last 52 (1.67 PPG).
Which team has the better venue record — Birmingham at home or Peterborough away?
Peterborough's away record (1.64 PPG) is the stronger of the two venue-specific splits — Birmingham at home: 1.60 PPG; Peterborough away: 1.64 PPG.
⚔️ Rivalry Insight
The Rivalry So Far
These sides have met 4 times that we have on record, stretching back to September 2021 — a rivalry that has played out across roughly 3 years. The pairing has crossed competitions too — Championship, League One all feature in the head-to-head log. It has been a while since the last meeting — 8 April 2025, some 3 years back — so squads and form on both sides may look very different now.
Notable Numbers
There's a clear current trend here: Birmingham have taken the last 2 head-to-head results.
For context on how one-sided this fixture can get: Peterborough won 3-0 on 18 Sep 2021, the biggest margin either side has managed in the series.
Specifically as hosts in this fixture, Birmingham have gone 1W 1D 0L from 2 meetings on their own ground against Peterborough — worth weighing alongside the overall series record.
Last 4 Meetings
2
Birmingham
1
Draws
1
Peterborough
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Birmingham and Peterborough?
From 4 meetings on record, Birmingham have won 2, Peterborough have won 1, and 1 have been drawn.
When did Birmingham and Peterborough last play each other?
They last met on 8 April 2025, when Peterborough 1-2 Birmingham.
Who has won more matches between Birmingham and Peterborough?
Birmingham have the better head-to-head record, with 2 wins from 4 meetings.
📈 Trading Insight
Early Goal Trends
Birmingham are typically involved in an early goal — the half-time board shows at least one in 72% of their matches. They've gone in front at half-time 28% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 12% of those situations.
Peterborough are typically involved in an early goal — the half-time board shows at least one in 72% of their matches. They've gone in front at half-time 36% of the time.
Full-Time Markets
BTTS sits in mixed territory for this pairing — Birmingham 56%, Peterborough 64% — no strong lean either way from the trading data alone.
Over 2.5 has been close to a coin-flip for both sides — 52% (Birmingham) and 60% (Peterborough). Stepping up a level, Over 3.5 has also landed reasonably often — 32% and 36% respectively — worth a look for goal-hungry markets.
On the defensive side: Birmingham have failed to score in 28% of games.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Birmingham home games / Peterborough away games. HT metrics require half-time score data β shown as β where unavailable.
❓ Frequently Asked Questions
Do both teams usually score when Birmingham play Peterborough?
Yes — based on recent matches, both teams have scored in 56% of Birmingham's games and 64% of Peterborough's, a combined rate that favours BTTS Yes.
Is Birmingham vs Peterborough usually a high-scoring fixture?
Recent trends suggest it could be — Over 2.5 goals has landed in 52% of Birmingham's matches and 60% of Peterborough's.
Do Birmingham and Peterborough tend to score early?
Birmingham have had a goal before half-time in 72% of their recent matches, Peterborough in 72% — a useful reference point for first-half goal markets.
Shock result as Birmingham defy the odds to beat Peterborough 3-2.
📝 Match Report
How It Unfolded
Birmingham beat Peterborough 3-2 at St. Andrew's @ Knighthead Park, Regular Season - 8, in the League One. That is the final score; the rest of this report grades it against what the data forecast beforehand.
The Model vs The Result
The Poisson model went into this projecting Birmingham 1.54 xG and Peterborough 1.77 xG, a combined 3.31. The scoreboard read 3-2 for 5 actual goals. Birmingham beat their projection by 1.5 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Birmingham attack 1.11 / defence 1.04 against Peterborough attack 1.32 / defence 1.07, drawn from 6/53 games (CurrentSeason).
On the result, the model split it Birmingham 33% | Draw 24% | Peterborough 43%, with Peterborough to win its most likely call at 43%. The actual Birmingham win had been the model's second-ranked read at 33%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 64%. The game delivered 5, so it went over — the model's lean was correct. Over 1.5 had been 85% and landed. Over 3.5 was 42% and came in. On both teams to score, the model sat at 66% and the match saw both sides score — another call in the model's favour. Historically the two sides average 57% Over 2.5 across their same-competition games (Birmingham 48%, Peterborough 65%), a base rate that agreed with today's over. Their combined BTTS history runs at 59%, which matched the both-scored outcome.
Trading Patterns vs Reality
Birmingham's trading profile (52 games, 25 home) set some clear expectations: BTTS lands in 54% of their matches — today it did.
Peterborough's trading profile (52 games, 25 away) set some clear expectations: BTTS lands in 64% of their matches — today it did.
Form vs Result
The form lines were close — Birmingham 1.27 PPG, Peterborough 1.67 PPG — offering no strong steer, and the Birmingham win broke the near-deadlock. Birmingham (home/away splits) scored 3 against a 1.44 average — above their attacking norm and shipped 2 against a 1.12 concession average — a leakier day than usual. Peterborough (home/away splits) shipped 3 against a 1.48 concession average — a leakier day than usual.
Verdict
Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.
💡 Key Insights
⚠️ 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.