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Birmingham

D W W W L
VS
AI Predicts: 2-0
Away

Swansea

W W W L L
1X2 Birmingham 52%
O/U Over 2.5 68%
DC 1X 88%
BTTS Yes 64%
OpWin AI Probabilities
Birmingham 52% Draw 25% Swansea 23%
OPWIN EXPERT READ · SCV1.1

What is the prediction for the football match between Birmingham and Swansea?

Our prediction for the Birmingham–Swansea match is: Birmingham to win or draw.

Other OPWIN picks

Birmingham to win (52% confidence); over 2.5 goals (68% confidence); both teams to score: yes (64% confidence)

Birmingham

Across the 5 most recent finished matches with available data, Birmingham scored an average of 2.00 goals and conceded 0.60 per match.

Swansea

Across the 5 most recent finished matches with available data, Swansea scored an average of 1.00 goals and conceded 1.60 per match.

How the recent evidence fits the pick

Recent results add context to Double chance: Home or Draw (1X): Birmingham scored 2.00 and conceded 0.60 per match across 5 covered games; Swansea scored 1.00 and conceded 1.60 across 5.

Players to watch

Across 5 recent recorded appearances, L. Millar contributed 4 goal(s) and 0 assist(s). Available ratings average 7.80/10 across 5 rated appearances. Across 4 recent recorded appearances, M. Yeo contributed 2 goal(s) and 0 assist(s). Available ratings average 7.21/10 across 4 rated appearances.

Recent squad-performance signal

Across recent rated squad performances used by Team Intelligence, Birmingham records a mean of 6.95/10 versus 6.42/10 for Swansea.

Tactical matchup and recent shapes

The current records list H. Redknapp for Birmingham and L. Williams for Swansea. The latest recorded formations are Birmingham in 4-2-3-1 (Oct 24, 2026) and Swansea in 4-3-3 (Oct 24, 2026). Across 7 recent matches with possession and shot data, Birmingham averaged 52.9% possession and 14.3 shots per match (5.4 on target), a high shot volume profile. Across 7 matches, Swansea averaged 53.3% possession and 11.1 shots (3.6 on target), a a more balanced possession and shot profile profile. The recorded numbers do not show a pronounced gap in possession or shot volume.

Home and away performance

In 4 recent home matches, Birmingham recorded 2 wins, 2 draws and 0 losses, averaging 2.00 points, 2.75 goals scored and 1.00 conceded per match. Away from home, Swansea recorded 2 wins, 0 draws and 2 losses in 4 matches, averaging 1.50 points, 1.00 goals scored and 2.25 conceded per match. This sample favours the home side’s recent home record relative to the away side’s road record.

This OPWIN expert read combines the existing model pick with recorded football evidence. Match outcomes remain uncertain.

Premium Match Markets Premium markets based on the latest match assessment.
Premium Expected goals 1.83 — 1.40 Reliability 100%
1X2 — Match Result

The 1X2 market estimates a home win (1), draw (X) or away win (2).

147%Birmingham
X24%Draw
229%Swansea
Both Teams to Score (BTTS)

BTTS Yes means both teams score at least once; No means at least one team fails to score.

Yes64%
No36%
Over / Under Goals

Each line estimates whether the match total will finish above or below the stated goals threshold.

O/U 1.5O 84%U 16%
O/U 2.5O 63%U 37%
O/U 3.5O 40%U 60%
O/U 4.5O 22%U 78%
Team Goals: Home / Away

Team-goals markets estimate each side’s scoring total separately, regardless of who wins the match.

Birmingham
More model-supported option Under 3.5 goals · 89%

The model assigns 89% to this outcome, the strongest probability among the listed goal lines for Birmingham.

Possible alternative Over 0.5 goals · 84%

A different goal line with 84% model probability; it is less supported than the leading option and carries more uncertainty.

0.5O 84%U 16%
1.5O 55%U 45%
2.5O 28%U 72%
3.5O 11%U 89%
Swansea
More model-supported option Under 3.5 goals · 95%

The model assigns 95% to this outcome, the strongest probability among the listed goal lines for Swansea.

Possible alternative Under 2.5 goals · 83%

A different goal line with 83% model probability; it is less supported than the leading option and carries more uncertainty.

0.5O 75%U 25%
1.5O 41%U 59%
2.5O 17%U 83%
3.5O 5%U 95%

These probabilities are model estimates, not guarantees or proof of betting value. Available odds and match context still matter.

Clean Sheet

A clean sheet means the selected team concedes zero goals, whether it wins or draws.

Birmingham25%
Swansea16%
Win to Nil

The selected team must win and concede no goals. This is narrower than a clean sheet because a draw does not qualify.

Birmingham20%
Swansea11%
Draw No Bet

The displayed shares compare home and away wins only; if the match is drawn, a standard Draw No Bet stake is returned.

Birmingham62%
Swansea38%
Asian Handicap

The handicap adjusts the final goal difference by the selected line. W/P/L show estimated win, push/refund and loss outcomes after that adjustment.

Birmingham
-1.5W 26%P 0%L 74%
-1W 26%P 21%L 53%
-0.5W 47%P 0%L 53%
0W 47%P 24%L 29%
+0.5W 71%P 0%L 29%
+1W 71%P 16%L 13%
+1.5W 87%P 0%L 13%
Swansea
-1.5W 13%P 0%L 87%
-1W 13%P 16%L 71%
-0.5W 29%P 0%L 71%
0W 29%P 24%L 47%
+0.5W 53%P 0%L 47%
+1W 53%P 21%L 26%
+1.5W 74%P 0%L 26%
Dutching — Exact Score

OPWIN ranks the five most likely exact-score scenarios. Each percentage is the modelled probability of that score; Combined Top 5 adds those five probabilities.

#11-110.90%
#22-19.26%
#31-27.05%
#41-06.65%
#52-06.63%
Combined Top 540.49%
How Dutching works with $100

Dutching splits one total stake across mutually exclusive exact-score outcomes; each stake is set inversely to its decimal odds to target a similar gross payout if one selected score lands. Illustration only: with $100 and hypothetical decimal odds of 8.00 (1–1), 10.00 (1–2), 11.00 (2–1), 13.00 (2–2) and 14.00 (0–1), the stakes would be about $26.92, $21.54, $19.58, $16.57 and $15.39. If one of these scores lands, the gross return would be about $215.40 before fees or other conditions. If the final score is outside the five, the full $100 is lost. These are example odds, not live prices: OPWIN percentages are model probabilities, not bookmaker odds or stake recommendations.

Winner + BTTS

This combination requires the selected match result and both teams to score at least once.

Birmingham + BTTS27%
Swansea + BTTS17%
Draw + BTTS20%

Birmingham Season

Rank#7
Points20
Matches Left26

Swansea Season

Rank#2
Points23
Matches Left26

Birmingham Last 5

Cardiff 1 - 0
QPR 3 - 0
Preston 4 - 0
West Brom 0 - 1
Middlesbrough 2 - 2

Swansea Last 5

QPR 5 - 0
West Ham 0 - 1
Millwall 0 - 1
Norwich 2 - 1
Lincoln 1 - 2

Head-to-Head

Birmingham: 2 Draws: 3 Swansea: 0
2026 Swansea 0 - 1 Birmingham
2026 Swansea 1 - 1 Birmingham
2025 Birmingham 1 - 0 Swansea
2024 Birmingham 2 - 2 Swansea
2023 Swansea 1 - 1 Birmingham

Form Analysis

Birmingham
L W W W D
Swansea
L L W W W

Birmingham Performance

⚔️ Efficiency (Goals / Match)
2.33
Goals scored14
Goals conceded7
Matches6
🛡️ Defense (Conceded / Match)1.17

Swansea Performance

⚔️ Efficiency (Goals / Match)
1.50
Goals scored9
Goals conceded10
Matches6
🛡️ Defense (Conceded / Match)1.67

Match Statistics

Detailed match statistics will appear after the match.

Expected Goals (xG)

Birmingham
2.62
Swansea
1.00

Live Commentary & Analysis

Match Preview

Birmingham vs Swansea is a Football football match on November 7, 2026 at St Andrew's Stadium. Recent form is 3 wins, 1 draws and 1 losses (form: LWWWD) for Birmingham and 3 wins, 0 draws and 2 losses (form: LLWWW) for Swansea. This match preview combines team statistics, recent form, head-to-head context and available prediction insights to explain the fixture.

📅 7 Nov 2026
📍 St Andrew's Stadium

Standings & Context

In the Football standings, Birmingham is currently #7 with 20 points from 12 matches, while Swansea is #2 with 23 points from 12. Recent head-to-head history: Birmingham won 2, 3 were drawn and Swansea won 0 across the last 5 meetings.

Performance Analysis

The performance profile shows Birmingham at 2.33 goals scored and 1.17 conceded per home match, versus Swansea at 1.50 goals scored and 1.67 conceded per away match. Expected goals (xG) are estimated at 2.62 for Birmingham and 1.00 for Swansea.

Disclaimer: This analysis is generated based on statistics. Please gamble responsibly.