Statistics / Football / Germany. Oberliga - Westfalen / Lippstadt 08 vs Preußen Münster II

Lippstadt 08 vs Preußen Münster II Statistics & Analysis

May 25, 2026 - 13:00
1 1.45
3 1.25
xG Accuracy: 55%
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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 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Lippstadt 08 Draw ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Oberliga - Westfalen
  • Fixture: Lippstadt 08 vs Preußen Münster II
  • Kickoff: 2026-05-25 17:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Lippstadt 08 1.45 — Preußen Münster II 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 40.1% · Over 2.5 59.9%); BTTS Yes (Yes 68.2% · No 31.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 68.2% · No 31.8%
  • Correct score (top bin): 1-1 (10.8%)

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 bankroll-sized bet is implied here.

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

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.

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 08, 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
Oberliga - Westfalen Oberliga - WestfalenStandings
# TEAM MP W D L PTS
1 Westfalia Rhynern 36 25 6 4 82
2 SG Wattenscheid 09 35 23 11 2 77
3 ASC Dortmund 36 22 9 6 75
4 Lippstadt 08 36 20 10 6 70
5 Preußen Münster II 36 21 5 10 68
6 Gievenbeck 36 14 7 14 50
7 Arminia II 36 13 9 13 48
8 Victoria Clarholz 36 12 10 14 46
9 Eintracht Rheine 36 11 10 14 44
10 Schermbeck 35 10 10 16 40
11 Sprockhovel 35 11 7 17 40
12 Türkspor Dortmund 36 12 4 20 40
13 Erkenschwick 36 10 10 16 40
14 Verl II 35 10 9 16 39
15 Vreden 36 11 6 19 39
16 Ennepetal 36 11 5 20 38
17 Hiltrup 36 9 9 18 36
18 Rot Weiss Ahlen 36 9 7 20 34
19 Finnentrop / Bamenohl 36 8 9 19 33
# TEAM MP GS GC +/- PTS
1 Westfalia Rhynern 36 96 38 +58 82
2 ASC Dortmund 36 81 41 +40 75
3 Preußen Münster II 36 80 49 +31 68
4 SG Wattenscheid 09 35 78 28 +50 77
5 Lippstadt 08 36 63 29 +34 70
6 Gievenbeck 36 61 55 +6 50
7 Türkspor Dortmund 36 60 77 -17 40
8 Sprockhovel 35 59 67 -8 40
9 Arminia II 36 56 57 -1 48
10 Victoria Clarholz 36 54 63 -9 46
11 Schermbeck 35 53 58 -5 40
12 Eintracht Rheine 36 53 63 -10 44
13 Vreden 36 52 68 -16 39
14 Finnentrop / Bamenohl 36 51 87 -36 33
15 Verl II 35 49 64 -15 39
16 Erkenschwick 36 48 67 -19 40
17 Ennepetal 36 44 75 -31 38
18 Hiltrup 36 42 60 -18 36
19 Rot Weiss Ahlen 36 42 77 -35 34