Weiden vs Coburg Statistics & Analysis

May 08, 2026 - 17:00
5 1.45
0 1.25
xG Accuracy: 27%
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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 Over 2.5 Over 2.5 (5 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Weiden Weiden ✔ Correct
  • Correct Score Insights 2-1 5-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Oberliga - Bayern Nord
  • Fixture: Weiden vs Coburg
  • Kickoff: 2026-05-08 17:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Weiden 1.45 — Coburg 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 34.9% · Over 2.5 65.1%); BTTS No (Yes 45.2% · No 54.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 45.2% · No 54.8%
  • Correct score (top bin): 2-1 (9.7%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

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
Oberliga - Bayern Nord Oberliga - Bayern NordStandings
# TEAM MP W D L PTS
1 Eltersdorf 31 20 2 9 62
2 Cham 32 17 8 7 59
3 ASV Neumarkt 31 17 5 9 56
4 Weiden 31 13 11 7 50
5 Gebenbach 31 15 5 11 50
6 Eintracht Bamberg 31 12 12 7 48
7 Ingolstadt II 31 13 6 12 45
8 Fortuna Regensburg 31 11 9 11 42
9 Bayern Hof 31 11 9 11 42
10 Jahn Regensburg II 31 12 5 14 41
11 Neudrossenfeld 31 12 5 14 41
12 Kornburg 31 9 13 9 40
13 Würzburger FV 31 10 7 14 37
14 ATSV Erlangen 31 10 6 15 36
15 Stadeln 31 11 2 18 35
16 Coburg 31 9 3 19 30
17 Großschwarzenlohe 31 4 8 19 20
# TEAM MP GS GC +/- PTS
1 ASV Neumarkt 31 64 48 +16 56
2 Ingolstadt II 31 62 53 +9 45
3 Fortuna Regensburg 31 62 56 +6 42
4 Cham 32 58 35 +23 59
5 Jahn Regensburg II 31 56 52 +4 41
6 Weiden 31 55 35 +20 50
7 Bayern Hof 31 53 48 +5 42
8 Eltersdorf 31 52 29 +23 62
9 Eintracht Bamberg 31 50 38 +12 48
10 Gebenbach 31 50 47 +3 50
11 Kornburg 31 47 46 +1 40
12 Neudrossenfeld 31 46 52 -6 41
13 Würzburger FV 31 45 59 -14 37
14 Stadeln 31 42 62 -20 35
15 Coburg 31 42 77 -35 30
16 ATSV Erlangen 31 40 58 -18 36
17 Großschwarzenlohe 31 34 63 -29 20