Estadísticas / Fútbol / England. Championship / Preston vs Southampton

Preston vs Southampton Statistics & Analysis

May 02, 2026 - 11:30
1 1.43
3 1.82
xG Accuracy: 64%
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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
  • Más / Menos de 2.5 Más de 2.5 Más de 2.5 (4 goals) ✔ Correct
  • Ambos Equipos Marcarán BTTS Sí ✔ Correct
  • 1X2 Southampton Southampton ✔ Correct
  • Perspectivas de marcador exacto 1-1 1-3 ✖ Incorrect

Informe IA del partido

Resumen del partido IA

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

  • League: Championship
  • Fixture: Preston vs Southampton
  • Kickoff: 2026-05-02 11:30:00
  • 1X2 (model): Home 29.1% · Draw 25.4% · Away 45.5%
  • xG (showing): Preston 1.43 — Southampton 1.82 (total xG ≈ 3.25)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 63.0% · Implied: 59.2% · Probability edge: +3.8 pts · Est. EV: +3.3%
  • BTTS (model): Yes 65.1% · No 34.9%
  • Correct score (top bin): 1-1 (10.1%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Mejor apuesta y razones

Strongest +EV line among tracked markets (not shown as a full Primary under current engine thresholds): Over 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

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.

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.

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Factores de riesgo

  • 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%).

Metodología

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Última actualización

May 01, 2026 (UTC)

¿Cómo usar esto?
  • Concéntrese en la línea principal cuando desee una idea viable.
  • No combine muchas púas de punta fina;Los bordes no se suman de manera confiable.
  • Trate las apuestas arriesgadas como jugadas opcionales y de alto riesgo únicamente.

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Volver a Estadísticas
Championship ChampionshipClasificación
# EQUIPO PJ G E P 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
# EQUIPO PJ GF 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
# EQUIPO PJ 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