Zwettl vs Schrems Prediction, Odds & AI Betting Tips

Jun 12, 2026 - 17:00
1.80
1.35
47% 26% 28%

Forecast Assessment

Reliable forecast

Favourite
Zwettl Slight favourite
Model probability
46.7%
Market agreement
Validation
Pending

Summary:

The model leans Zwettl, with modest separation from other outcomes. Monitor market movement before kickoff.

Final betting verdict

No default bet at standard thresholds — use leans for context only.

  • No value on 1X2 (Zwettl vs. current odds)
  • Model lean (not a default bet): Over 2.5
  • Model lean (not a default bet): BTTS Yes
Low conviction (4/10) — prefer smaller stakes or skip.
Premium betting site 1xbet: New users can use the promo code 1x_3342271 to receive $100 cash.
1X2 No bet on 1X2 — no value vs. current odds on this market
Match: 46.7% Zwettl
No positive EV could be estimated on tracked lines at current best odds (missing prices or insufficient book depth).
Both Teams To Score Lean
Yes 63.2% · No 36.8%
Value lean: BTTS Yes
1X2 Pass
Zwettl · Model probability 46.7%
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 10.4%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Lean only (below +EV threshold) — The model leans a side in at least one market, but no tracked line reaches the engine’s minimum EV threshold for a default stake suggestion.
Decision strength: 4.0 / 10
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: insufficient book odds for EV
BTTS: insufficient book odds for EV
Should you bet on this match? No default bet: the model does not show +EV at the configured threshold on available lines.

Decision Lifecycle

Current stage: Waiting for closing line

  1. Forecast Generated
  2. Market Compared
  3. Validation Passed
  4. Closing Recorded
  5. CLV Evaluated
Entry
Pending
Closing
Pending
CLV
Pending

AI match briefing

AI Match Summary

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

  • League: Landesliga - Niederosterreich
  • Fixture: Zwettl vs Schrems
  • Kickoff: 2026-06-12 17:00:00
  • 1X2 (model): Home 46.7% · Draw 25.7% · Away 27.6%
  • xG (showing): Zwettl 1.8 — Schrems 1.35 (total xG ≈ 3.15)
  • 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 63.2% · No 36.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 63.2% · No 36.8%
  • Correct score (top bin): 1-1 (10.4%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No bankroll-sized bet is implied here.

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

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.

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.

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

June 12, 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 Predictions
Landesliga - Niederosterreich Landesliga - NiederosterreichStandings
# TEAM MP W D L PTS
1 Scheiblingkirchen 28 16 8 4 56
2 Admira II 29 16 4 9 52
3 Ebreichsdorf 29 14 5 10 47
4 Langenrohr 29 13 7 9 46
5 Ybbs 29 12 8 10 44
6 SC Wiener Neustadt 29 11 9 9 42
7 Ardagger 29 10 12 7 42
8 Wieselburg 29 11 8 10 41
9 St. Pölten II 29 10 9 10 39
10 Zwettl 29 11 6 12 39
11 St. Peter 29 9 10 10 37
12 Ortmann 29 8 10 12 34
13 Korneuburg 28 8 9 11 33
14 Kilb 29 8 8 13 32
15 Stockerau 29 7 8 14 29
16 Schrems 29 6 3 20 21
# TEAM MP GS GC +/- PTS
1 Admira II 29 71 43 +28 52
2 Ebreichsdorf 29 63 50 +13 47
3 Scheiblingkirchen 28 59 27 +32 56
4 Zwettl 29 52 51 +1 39
5 St. Pölten II 29 47 39 +8 39
6 Ybbs 29 47 40 +7 44
7 Wieselburg 29 43 41 +2 41
8 Langenrohr 29 43 48 -5 46
9 SC Wiener Neustadt 29 42 31 +11 42
10 Kilb 29 42 57 -15 32
11 Ardagger 29 41 34 +7 42
12 St. Peter 29 39 52 -13 37
13 Ortmann 29 37 46 -9 34
14 Korneuburg 28 35 47 -12 33
15 Stockerau 29 35 50 -15 29
16 Schrems 29 35 75 -40 21