Statistics / Football / England. Championship / Portsmouth vs Birmingham

Portsmouth vs Birmingham Statistics & Analysis

Portsmouth Portsmouth
May 02, 2026 - 11:30
1 1.02
1 1.09
xG Accuracy: 97%
Birmingham Birmingham
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Birmingham Draw ✖ Incorrect
  • Correct Score Insights 1-1 1-1 ✔ Correct

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Championship
  • Fixture: Portsmouth vs Birmingham
  • Kickoff: 2026-05-02 11:30:00
  • 1X2 (model): Home 31.6% · Draw 33.3% · Away 35.1%
  • xG (showing): Portsmouth 1.02 — Birmingham 1.09 (total xG ≈ 2.11)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 64.7% · Implied: 48.2% · Probability edge: +16.5 pts · Est. EV: +29.4%
  • BTTS (model): Yes 44.2% · No 55.8%
  • Correct score (top bin): 1-1 (13.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Championship Championship — Standings
# TEAM MP W D L PTS
1 Coventry 46 28 11 7 95
2 Ipswich 46 23 15 8 84
3 Millwall 46 24 11 11 83
4 Southampton 46 22 14 10 80
5 Middlesbrough 46 22 14 10 80
6 Hull City 46 21 10 15 73
7 Wrexham 46 19 14 13 71
8 Derby 46 20 9 17 69
9 Norwich 46 19 8 19 65
10 Birmingham 46 17 13 16 64
11 Swansea 46 18 10 18 64
12 Bristol City 46 17 11 18 62
13 Sheffield Utd 46 18 6 22 60
14 Preston 46 15 15 16 60
15 QPR 46 16 10 20 58
16 Watford 46 14 15 17 57
17 Stoke City 46 15 10 21 55
18 Portsmouth 46 14 13 19 55
19 Charlton 46 13 14 19 53
20 Blackburn 46 13 13 20 52
21 West Brom 46 13 14 19 51
22 Oxford United 46 11 14 21 47
23 Leicester 46 12 16 18 46
24 Sheffield Wednesday 46 2 12 32 0
# TEAM MP GS GC +/- PTS
1 Coventry 46 97 45 +52 95
2 Southampton 46 82 56 +26 80
3 Ipswich 46 80 47 +33 84
4 Middlesbrough 46 72 47 +25 80
5 Hull City 46 70 66 +4 73
6 Wrexham 46 69 65 +4 71
7 Derby 46 67 59 +8 69
8 Sheffield Utd 46 66 66 0 60
9 Millwall 46 64 49 +15 83
10 Norwich 46 63 56 +7 65
11 QPR 46 61 73 -12 58
12 Bristol City 46 59 59 0 62
13 Leicester 46 58 68 -10 46
14 Birmingham 46 57 56 +1 64
15 Swansea 46 57 59 -2 64
16 Preston 46 55 62 -7 60
17 Watford 46 53 65 -12 57
18 Stoke City 46 51 56 -5 55
19 Portsmouth 46 49 64 -15 55
20 West Brom 46 48 58 -10 51
21 Oxford United 46 45 59 -14 47
22 Charlton 46 44 58 -14 53
23 Blackburn 46 42 56 -14 52
24 Sheffield Wednesday 46 29 89 -60 0
# TEAM MP xG xGC +/- PTS
1 Coventry 46 84.9 49.6 +35.3 95
2 Ipswich 46 75.5 44.3 +31.2 84
3 Middlesbrough 46 69.5 41.4 +28.1 80
4 Southampton 46 76.3 57.0 +19.3 80
5 Sheffield Utd 46 70.5 56.8 +13.7 60
6 Birmingham 46 61.5 48.2 +13.3 64
7 West Brom 46 57.0 46.3 +10.7 51
8 Millwall 46 62.2 57.2 +5.0 83
9 Watford 46 55.1 53.3 +1.8 57
10 Derby 46 54.0 54.4 -0.4 69
11 Blackburn 46 53.4 54.5 -1.1 52
12 QPR 46 54.3 55.6 -1.3 58
13 Norwich 46 60.7 63.9 -3.2 65
14 Swansea 46 51.1 56.0 -4.9 64
15 Bristol City 46 54.9 60.7 -5.8 62
16 Portsmouth 46 46.9 52.7 -5.8 55
17 Wrexham 46 55.8 62.5 -6.7 71
18 Oxford United 46 51.6 58.3 -6.7 47
19 Leicester 46 54.2 64.8 -10.6 46
20 Stoke City 46 50.2 63.2 -13.0 55
21 Charlton 46 46.2 60.7 -14.5 53
22 Preston 46 52.8 68.0 -15.2 60
23 Hull City 46 58.8 78.3 -19.5 73
24 Sheffield Wednesday 46 39.7 89.4 -49.7 0
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