Langenthal vs Buochs Statistics & Analysis

May 17, 2026 - 13:00
3 1.45
0 1.25
xG Accuracy: 46%
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Mercati tracciati vs risultato finale

Ogni riga confronta la tendenza del modello pre-partita con il risultato finale.

  • Mercato Previsione Risultato Esito
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 gol) ✔ Corretto
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì No ✖ Errato
  • 1X2 Langenthal Langenthal ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 2-1, 1-0, 2-0, 1-2 3-0 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 13:39 UTC Snapshot ID: dp-1600447

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Langenthal win · Langenthal 3–0 Buochs
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

Quick read on how the model reads this matchup.

  • League: 1. Liga Classic - Gruppo 2
  • Fixture: Langenthal vs Buochs
  • Kickoff: 2026-05-17 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Langenthal 1.45 — Buochs 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 39.0% · Over 2.5 61.0%); BTTS Yes (Yes 59.0% · No 41.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 59.0% · No 41.0%
  • Correct score (top bin): 1-1 (10.2%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Raccomandazione Storica

Decisione Storica: No Primary Bet

Esito: Validated — Pre-match lean validated against the full-time result.

Fattori di Rischio Considerati Prima del Calcio d'Inizio

  • 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%).

Ultimo aggiornamento

September 27, 2026 (UTC)

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Torna alle Statistiche
1. Liga Classic - Gruppo 2 1. Liga Classic - Gruppo 2 — Classifiche
# SQUADRA PG V P S PT
1 Grasshopper II 30 19 3 8 60
2 Langenthal 30 17 7 6 58
3 Courtételle 30 16 8 6 56
4 Muttenz 30 14 9 7 51
5 Concordia Basilea 30 13 6 11 45
6 Solothurn 30 13 6 11 45
7 FC Wohlen 30 12 7 11 43
8 Schötz 30 12 6 12 42
9 Black Stars 30 12 5 13 41
10 Münsingen 30 10 8 12 38
11 Zug 30 9 10 11 37
12 Bassecourt 30 9 7 14 34
13 Buochs 30 10 4 16 34
14 Delémont 30 7 10 13 31
15 Besa Biel/Bienne 30 8 4 18 28
16 Old Boys 30 7 4 19 25
# SQUADRA PG GS GC +/- PT
1 Grasshopper II 30 69 35 +34 60
2 Muttenz 30 64 46 +18 51
3 Langenthal 30 63 37 +26 58
4 Schötz 30 63 65 -2 42
5 Concordia Basilea 30 62 50 +12 45
6 Black Stars 30 54 67 -13 41
7 Courtételle 30 53 33 +20 56
8 Solothurn 30 53 47 +6 45
9 Delémont 30 47 55 -8 31
10 Old Boys 30 47 73 -26 25
11 FC Wohlen 30 44 42 +2 43
12 Münsingen 30 44 47 -3 38
13 Zug 30 41 51 -10 37
14 Besa Biel/Bienne 30 39 72 -33 28
15 Bassecourt 30 38 47 -9 34
16 Buochs 30 37 51 -14 34