Statistics / Football / Germany. Regionalliga - West / Sportfreunde Lotte vs Fortuna Köln

Sportfreunde Lotte vs Fortuna Köln Statistics & Analysis

Sportfreunde Lotte Sportfreunde Lotte
May 16, 2026 - 12:00
2 1.45
2 1.25
xG Accuracy: 70%
Fortuna Köln Fortuna Köln
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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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Sportfreunde Lotte Draw ✖ Incorrect
  • Correct Score Insights 1-1 2-2 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Regionalliga - West
  • Fixture: Sportfreunde Lotte vs Fortuna Köln
  • Kickoff: 2026-05-16 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Sportfreunde Lotte 1.45 — Fortuna Köln 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 44.6% · Implied: 42.3% · Probability edge: +2.3 pts · Est. EV: +2.6%
  • BTTS (model): Yes 62.0% · No 38.0%
  • Correct score (top bin): 1-1 (10.7%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Strongest +EV line among tracked markets (not shown as a full Primary under current engine thresholds): Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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 18, 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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Regionalliga - West Regionalliga - West — Standings
# TEAM MP W D L PTS
1 Fortuna Köln 34 20 10 4 70
2 Rot-weiss Oberhausen 34 19 9 6 66
3 Schalke 04 II 34 18 7 9 61
4 FC Gutersloh 34 16 11 7 59
5 Borussia Dortmund II 34 16 10 8 58
6 Borussia M'gladbach II 34 17 7 10 58
7 Sportfreunde Siegen 34 14 13 8 54
8 Paderborn II 34 12 10 12 46
9 Bonner SC 34 12 10 12 46
10 Köln II 34 13 6 15 45
11 Sportfreunde Lotte 34 11 12 11 45
12 Fortuna Düsseldorf II 34 11 7 16 40
13 FC Bocholt 34 10 9 15 39
14 Bochum II 34 9 12 13 39
15 SV Rodinghausen 34 7 8 19 29
16 Wiedenbrück 34 7 8 19 29
17 Wuppertaler SV 34 5 11 18 26
18 SSVg Velbert 34 6 7 21 25
# TEAM MP GS GC +/- PTS
1 Schalke 04 II 34 77 50 +27 61
2 Fortuna Köln 34 71 30 +41 70
3 Borussia Dortmund II 34 66 50 +16 58
4 Sportfreunde Siegen 34 62 43 +19 54
5 Borussia M'gladbach II 34 61 46 +15 58
6 Rot-weiss Oberhausen 34 60 40 +20 66
7 FC Gutersloh 34 55 40 +15 59
8 Köln II 34 55 63 -8 45
9 Paderborn II 34 52 38 +14 46
10 Bochum II 34 50 62 -12 39
11 FC Bocholt 34 49 57 -8 39
12 Fortuna Düsseldorf II 34 47 58 -11 40
13 SV Rodinghausen 34 46 63 -17 29
14 Sportfreunde Lotte 34 45 55 -10 45
15 Wiedenbrück 34 39 65 -26 29
16 Bonner SC 34 38 42 -4 46
17 Wuppertaler SV 34 36 70 -34 26
18 SSVg Velbert 34 35 72 -37 25
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