Mils vs Silz / Mötz Statistics & Analysis

May 16, 2026 - 15:00
1 1.45
7 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 (8 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Mils Silz / Mötz ✖ Incorrect
  • Correct Score Insights 1-2 1-7 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Landesliga - Tirol
  • Fixture: Mils vs Silz / Mötz
  • Kickoff: 2026-05-15 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Mils 1.45 — Silz / Mötz 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 23.8% · Over 2.5 76.2%); BTTS Yes (Yes 60.8% · No 39.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 60.8% · No 39.2%
  • Correct score (top bin): 1-2 (7.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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.

Re-check after material price moves; edges appear and disappear with liquidity.

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.

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.

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