Imst vs Bischofshofen Statistics & Analysis

May 30, 2026 - 13:30
2 1.45
0 1.25
xG Accuracy: 61%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Imst Imst ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 2-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 16:02 UTC Snapshot ID: dp-1615628

Closing Odds 1.58
AI Fair Odds —
CLV +0.0%
Final Result Imst win · Imst 2–0 Bischofshofen
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Bischofshofen (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 13.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Imst (1X2) 41.8 56.9 -15.1
Draw (1X2) 25.7 22.0 +3.7
Bischofshofen (1X2) 32.6 21.2 +11.4
Over 2.5 goals 50.6 63.9 -13.3
Under 2.5 goals 49.4 36.1 +13.3
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 36.1%. The difference — about 13.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Imst (1X2) 1.58 1.58 0.0
Draw (1X2) 4.09 4.09 0.0
Bischofshofen (1X2) 4.24 4.24 0.0
Over 2.5 goals 1.43 1.43 0.0
Under 2.5 goals 2.53 2.53 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Regionalliga - West
  • Fixture: Imst vs Bischofshofen
  • Kickoff: 2026-05-30 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Imst 1.45 — Bischofshofen 1.25 (total xG ≈ 2.7)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 34.9% · Over 2.5 65.1%); BTTS No (Yes 55.4% · No 44.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 55.4% · No 44.6%
  • Correct score (top bin): 1-1 (9.8%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics
Regionalliga - West Regionalliga - West — Standings
# TEAM MP W D L PTS
1 Wacker Innsbruck 31 27 2 2 83
2 Kuchl 31 21 2 8 65
3 Seekirchen 31 19 4 8 61
4 Imst 31 18 7 6 61
5 Dornbirn 31 16 4 11 52
6 Bischofshofen 31 16 3 12 51
7 SVG Reichenau 31 14 3 14 45
8 Hohenems 31 11 11 9 44
9 Schwaz 32 13 5 14 44
10 Kitzbühel 31 13 4 14 43
11 Wals-Grünau 31 10 8 13 38
12 TSV St. Johann 31 9 5 17 32
13 Lustenau 31 8 7 16 31
14 Rheindorf Altach II 31 7 6 18 27
15 Kufstein 31 5 10 16 25
16 Pinzgau Saalfelden 31 6 6 19 24
17 Lauterach 31 5 5 21 20
# TEAM MP GS GC +/- PTS
1 Wacker Innsbruck 31 83 18 +65 83
2 Seekirchen 31 82 47 +35 61
3 Imst 31 68 38 +30 61
4 Kuchl 31 61 40 +21 65
5 Dornbirn 31 61 44 +17 52
6 Bischofshofen 31 58 42 +16 51
7 Schwaz 32 57 56 +1 44
8 Hohenems 31 53 49 +4 44
9 Wals-Grünau 31 53 64 -11 38
10 Lustenau 31 46 77 -31 31
11 TSV St. Johann 31 44 55 -11 32
12 SVG Reichenau 31 43 52 -9 45
13 Kitzbühel 31 42 43 -1 43
14 Lauterach 31 40 78 -38 20
15 Rheindorf Altach II 31 35 70 -35 27
16 Kufstein 31 31 49 -18 25
17 Pinzgau Saalfelden 31 24 59 -35 24