VfL Vichttal vs Porz Statistics & Analysis

May 10, 2026 - 13:30
3 1.45
3 1.25
xG Accuracy: 40%
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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 Yes Yes ✔ Correct
  • 1X2 VfL Vichttal Draw ✖ Incorrect
  • Correct Score Insights 2-1 3-3 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Oberliga - Mittelrhein
  • Fixture: VfL Vichttal vs Porz
  • Kickoff: 2026-05-10 13:30:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): VfL Vichttal 1.45 — Porz 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 19.1% · Over 2.5 80.9%); BTTS Yes (Yes 73.5% · No 26.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 73.5% · No 26.5%
  • Correct score (top bin): 2-1 (7.8%)

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.

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

Best Bet + Reason

No clear +EV headline on this snapshot.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

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.

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.

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.

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
Oberliga - Mittelrhein Oberliga - MittelrheinStandings
# TEAM MP W D L PTS
1 Bergisch Gladbach 26 17 6 3 57
2 Siegburger SV 26 17 5 4 56
3 VfL Vichttal 27 16 5 6 53
4 Eintracht Hohkeppel 26 16 4 6 52
5 SSV Merten 26 15 5 6 50
6 Frechen 26 14 2 10 44
7 Wegberg-Beeck 25 12 4 9 40
8 Fortuna Köln II 26 11 6 9 39
9 Bornheim 26 11 4 11 37
10 TuS BW Königsdorf 26 11 4 11 37
11 Düren Merzenich 26 10 5 11 35
12 Hennef 05 26 9 2 15 29
13 Porz 26 7 4 15 25
14 Teutonia Weiden 27 4 4 19 16
15 SF Düren 26 4 2 20 14
16 Pesch 25 2 2 21 8
# TEAM MP GS GC +/- PTS
1 Eintracht Hohkeppel 26 77 34 +43 52
2 VfL Vichttal 27 71 36 +35 53
3 Siegburger SV 26 68 26 +42 56
4 Bergisch Gladbach 26 64 26 +38 57
5 SSV Merten 26 55 22 +33 50
6 Bornheim 26 53 47 +6 37
7 Porz 26 53 72 -19 25
8 Frechen 26 52 44 +8 44
9 Wegberg-Beeck 25 51 31 +20 40
10 Fortuna Köln II 26 49 39 +10 39
11 TuS BW Königsdorf 26 46 50 -4 37
12 Düren Merzenich 26 42 48 -6 35
13 SF Düren 26 38 84 -46 14
14 Hennef 05 26 35 58 -23 29
15 Pesch 25 26 102 -76 8
16 Teutonia Weiden 27 23 84 -61 16