Volders vs Kundl Statistics & Analysis

May 09, 2026 - 15:00
0 1.45
6 1.25
xG Accuracy: 18%
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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 (6 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Volders Kundl ✖ Incorrect
  • Correct Score Insights 1-2 0-6 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Landesliga - Tirol
  • Fixture: Volders vs Kundl
  • Kickoff: 2026-05-08 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Volders 1.45 — Kundl 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 32.1% · Over 2.5 67.9%); BTTS No (Yes 41.8% · No 58.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 41.8% · No 58.2%
  • Correct score (top bin): 1-2 (9.3%)

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

No clear +EV headline on this snapshot.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

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

FAQ

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.

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.

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 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
Landesliga - Tirol Landesliga - TirolStandings
# TEAM MP W D L PTS
1 St. Johann in Tirol 21 16 2 3 50
2 Swarovski Tirol II 21 14 5 2 47
3 Fügen 21 14 1 6 43
4 Kundl 22 10 2 10 32
5 Völs 20 8 8 4 32
6 Ebbs 21 9 4 8 31
7 Innsbrucker AC 22 9 4 9 31
8 Oberperfuss 22 8 2 12 26
9 Telfs 21 8 1 12 25
10 Wörgl 21 8 1 12 25
11 Silz / Mötz 21 7 1 13 22
12 Mils 21 5 6 10 21
13 Kematen 22 4 7 11 19
14 Volders 20 4 4 12 16
# TEAM MP GS GC +/- PTS
1 St. Johann in Tirol 21 52 18 +34 50
2 Fügen 21 52 31 +21 43
3 Swarovski Tirol II 21 48 17 +31 47
4 Ebbs 21 43 31 +12 31
5 Kundl 22 43 34 +9 32
6 Oberperfuss 22 41 53 -12 26
7 Silz / Mötz 21 39 51 -12 22
8 Telfs 21 36 40 -4 25
9 Innsbrucker AC 22 35 33 +2 31
10 Kematen 22 33 50 -17 19
11 Völs 20 31 27 +4 32
12 Wörgl 21 28 49 -21 25
13 Mils 21 26 45 -19 21
14 Volders 20 23 51 -28 16