Statistics / Football / Austria. Landesliga - Karnten / Dellach im Gailtal vs Donau Klagenfurt

Dellach im Gailtal vs Donau Klagenfurt Statistics & Analysis

May 17, 2026 - 14:00
0 1.45
1 1.25
xG Accuracy: 63%
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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 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Dellach im Gailtal Donau Klagenfurt ✖ Incorrect
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Landesliga - Karnten
  • Fixture: Dellach im Gailtal vs Donau Klagenfurt
  • Kickoff: 2026-05-17 21:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Dellach im Gailtal 1.45 — Donau Klagenfurt 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 66.0% · No 34.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 66.0% · No 34.0%
  • Correct score (top bin): 1-1 (10.6%)

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.

Correct-score markets remain high-variance even when one scoreline leads the table.

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.

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.

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.

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 19, 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
Landesliga - Karnten Landesliga - KarntenStandings
# TEAM MP W D L PTS
1 Wolfsberg 27 16 5 6 53
2 Völkermarkt 26 15 4 7 49
3 Donau Klagenfurt 26 14 7 5 49
4 Lendorf 25 14 4 7 46
5 Bleiburg 26 12 6 8 42
6 Dellach im Gailtal 26 11 7 8 40
7 St. Veit / Glan 27 11 6 10 39
8 Grafenstein 27 10 7 10 37
9 TSU Matrei 27 10 5 12 35
10 Austria Klagenfurt II 25 8 9 8 33
11 SAK Klagenfurt 26 7 9 10 30
12 Köttmannsdorf 26 8 6 12 30
13 KAC 26 6 10 10 28
14 Ferlach 27 6 8 13 26
15 Spittal 26 6 7 13 25
16 Nußdorf 27 5 2 20 17
# TEAM MP GS GC +/- PTS
1 Völkermarkt 26 76 50 +26 49
2 Wolfsberg 27 71 40 +31 53
3 Dellach im Gailtal 26 52 40 +12 40
4 Donau Klagenfurt 26 50 27 +23 49
5 St. Veit / Glan 27 45 38 +7 39
6 Grafenstein 27 45 45 0 37
7 Köttmannsdorf 26 45 53 -8 30
8 SAK Klagenfurt 26 43 42 +1 30
9 Lendorf 25 42 31 +11 46
10 Austria Klagenfurt II 25 39 42 -3 33
11 Bleiburg 26 35 33 +2 42
12 TSU Matrei 27 34 37 -3 35
13 KAC 26 33 41 -8 28
14 Ferlach 27 29 58 -29 26
15 Nußdorf 27 29 69 -40 17
16 Spittal 26 28 49 -21 25