Statistics / Football / Austria. Landesliga - Karnten / Donau Klagenfurt vs Köttmannsdorf

Donau Klagenfurt vs Köttmannsdorf Statistics & Analysis

May 24, 2026 - 15:00
3 1.45
0 1.25
xG Accuracy: 46%
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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 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Donau Klagenfurt Donau Klagenfurt ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Landesliga - Karnten
  • Fixture: Donau Klagenfurt vs Köttmannsdorf
  • Kickoff: 2026-05-24 21:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Donau Klagenfurt 1.45 — Köttmannsdorf 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 35.9% · Over 2.5 64.1%); BTTS Yes (Yes 63.1% · No 36.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 63.1% · No 36.9%
  • Correct score (top bin): 1-1 (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.

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

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

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

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.

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.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

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

June 07, 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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Landesliga - Karnten Landesliga - KarntenStandings
# TEAM MP W D L PTS
1 Donau Klagenfurt 30 18 7 5 61
2 Lendorf 30 17 6 7 57
3 Völkermarkt 30 17 4 9 55
4 Wolfsberg 30 16 6 8 54
5 Bleiburg 30 14 6 10 48
6 St. Veit / Glan 30 13 6 11 45
7 Dellach im Gailtal 30 12 7 11 43
8 Grafenstein 30 12 7 11 43
9 Austria Klagenfurt II 30 10 11 9 41
10 SAK Klagenfurt 30 9 11 10 38
11 TSU Matrei 30 11 5 14 38
12 Köttmannsdorf 30 8 7 15 31
13 KAC 30 6 11 13 29
14 Spittal 30 7 8 15 29
15 Ferlach 30 7 8 15 29
16 Nußdorf 30 7 2 21 23
# TEAM MP GS GC +/- PTS
1 Völkermarkt 30 84 59 +25 55
2 Wolfsberg 30 74 49 +25 54
3 Donau Klagenfurt 30 58 28 +30 61
4 Dellach im Gailtal 30 56 49 +7 43
5 Grafenstein 30 56 52 +4 43
6 Lendorf 30 55 33 +22 57
7 St. Veit / Glan 30 52 43 +9 45
8 Austria Klagenfurt II 30 50 50 0 41
9 SAK Klagenfurt 30 48 43 +5 38
10 Köttmannsdorf 30 46 59 -13 31
11 Bleiburg 30 43 38 +5 48
12 TSU Matrei 30 37 42 -5 38
13 KAC 30 36 52 -16 29
14 Ferlach 30 34 70 -36 29
15 Nußdorf 30 34 71 -37 23
16 Spittal 30 32 56 -24 29