Statistics / Football / Germany. Oberliga - Mittelrhein / SSV Merten vs Bergisch Gladbach

SSV Merten vs Bergisch Gladbach Statistics & Analysis

May 10, 2026 - 13:00
4 1.45
1 1.25
xG Accuracy: 46%
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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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 SSV Merten SSV Merten ✔ Correct
  • Correct Score Insights 1-1 4-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Oberliga - Mittelrhein
  • Fixture: SSV Merten vs Bergisch Gladbach
  • Kickoff: 2026-05-10 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): SSV Merten 1.45 — Bergisch Gladbach 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 80.6% · No 19.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 80.6% · No 19.4%
  • Correct score (top bin): 1-1 (10.8%)

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.

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.

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.

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