Weiden vs Coburg Prediction, Odds & AI Betting Tips

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, 1-1, 2-0, 1-0, 3-1 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 23, 2026 (UTC)

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Back to Predictions
Oberliga - Bayern Nord Oberliga - Bayern NordStandings
# TEAM MP W D L PTS
1 Eltersdorf 32 21 2 9 65
2 Cham 33 18 8 7 62
3 ASV Neumarkt 32 18 5 9 59
4 Gebenbach 32 16 5 11 53
5 Eintracht Bamberg 32 13 12 7 51
6 Weiden 32 13 11 8 50
7 Ingolstadt II 32 13 7 12 46
8 Fortuna Regensburg 32 12 9 11 45
9 Jahn Regensburg II 32 13 5 14 44
10 Bayern Hof 32 11 10 11 43
11 Neudrossenfeld 32 12 6 14 42
12 Kornburg 32 9 13 10 40
13 Würzburger FV 32 10 7 15 37
14 ATSV Erlangen 33 10 7 16 37
15 Stadeln 32 11 2 19 35
16 Coburg 32 9 3 20 30
17 Großschwarzenlohe 32 4 8 20 20
# TEAM MP GS GC +/- PTS
1 ASV Neumarkt 32 68 50 +18 59
2 Fortuna Regensburg 32 66 58 +8 45
3 Ingolstadt II 32 63 54 +9 46
4 Cham 33 62 35 +27 62
5 Jahn Regensburg II 32 59 53 +6 44
6 Weiden 32 57 39 +18 50
7 Bayern Hof 32 56 51 +5 43
8 Eltersdorf 32 55 30 +25 65
9 Eintracht Bamberg 32 53 39 +14 51
10 Gebenbach 32 53 47 +6 53
11 Kornburg 32 48 49 -1 40
12 Neudrossenfeld 32 47 53 -6 42
13 Würzburger FV 32 46 62 -16 37
14 Coburg 32 44 81 -37 30
15 ATSV Erlangen 33 43 65 -22 37
16 Stadeln 32 42 65 -23 35
17 Großschwarzenlohe 32 35 66 -31 20