Statistics / Football / Germany. Regionalliga - West / SSVg Velbert vs Paderborn II

SSVg Velbert vs Paderborn II Statistics & Analysis

SSVg Velbert SSVg Velbert
May 08, 2026 - 17:30
1 1.45
3 1.25
xG Accuracy: 55%
Paderborn II Paderborn II
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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 SSVg Velbert Paderborn II ✖ Incorrect
  • Correct Score Insights 1-1 1-3 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - West
  • Fixture: SSVg Velbert vs Paderborn II
  • Kickoff: 2026-05-09 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): SSVg Velbert 1.45 — Paderborn II 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 52.7% · Implied: 41.0% · Probability edge: +11.7 pts · Est. EV: +21.2%
  • BTTS (model): Yes 47.3% · No 52.7%
  • Correct score (top bin): 1-1 (10.9%)

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

Primary angle highlighted on the page: BTTS No.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

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.

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 is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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
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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