Statistics / Football / Germany. Regionalliga - Nord / St. Pauli II vs Eintracht Norderstedt

St. Pauli II vs Eintracht Norderstedt Statistics & Analysis

Sep 13, 2026 - 12:00
5 1.35
0 1.25
xG Accuracy: 26%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 St. Pauli II St. Pauli II ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 5-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:16 UTC Snapshot ID: dp-7429948

Closing Odds 2.14
AI Fair Odds —
CLV +0.0%
Final Result St. Pauli II win · St. Pauli II 5–0 Eintracht Norderstedt
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices St. Pauli II (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 18.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
St. Pauli II (1X2) 37.6 32.8 +4.8
Draw (1X2) 29.6 24.4 +5.2
Eintracht Norderstedt (1X2) 32.9 42.9 -10.0
Over 2.5 goals 48.2 66.3 -18.1
Under 2.5 goals 51.8 33.6 +18.1
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 33.6%. The difference — about 18.1 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE5 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE5) Implied Δ (pp)
St. Pauli II (1X2) 2.8 2.8 0.0
Draw (1X2) 3.76 3.76 0.0
Eintracht Norderstedt (1X2) 2.14 2.14 0.0
Over 2.5 goals 1.4 1.4 0.0
Under 2.5 goals 2.76 2.76 0.0

AI match briefing

AI Match Summary

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

  • League: Regionalliga - Nord
  • Fixture: St. Pauli II vs Eintracht Norderstedt
  • Kickoff: 2026-09-13 12:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): St. Pauli II 1.35 — Eintracht Norderstedt 1.25 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 33.9% · Probability edge: +17.9 pts · Est. EV: +43.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

September 30, 2026 (UTC)

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Back to Statistics
Regionalliga - Nord Regionalliga - Nord — Standings
# TEAM MP W D L PTS
1 Schöningen 11 7 3 1 24
2 Phönix Lübeck 10 7 2 1 23
3 Weiche Flensburg 10 7 1 2 22
4 SV Drochtersen/Assel 11 7 1 3 22
5 VfB Oldenburg 10 7 1 2 22
6 Hannover 96 II 10 5 3 2 18
7 Kickers Emden 11 5 3 3 18
8 Atlas Delmenhorst 11 4 3 4 15
9 Eintracht Norderstedt 11 3 4 4 13
10 Eimsbütteler TV 11 4 1 6 13
11 Werder Bremen II 10 3 2 5 11
12 VfB Lübeck 11 2 5 4 11
13 St. Pauli II 11 3 1 7 10
14 SSV Jeddeloh 11 3 1 7 10
15 Hamburger SV II 11 3 1 7 10
16 HSC Hannover 11 2 4 5 10
17 Bremer SV 10 2 2 6 8
18 Todesfelde 11 2 2 7 8
# TEAM MP GS GC +/- PTS
1 SV Drochtersen/Assel 11 33 16 +17 22
2 VfB Oldenburg 10 31 14 +17 22
3 Kickers Emden 11 31 30 +1 18
4 Weiche Flensburg 10 30 12 +18 22
5 Phönix Lübeck 10 28 6 +22 23
6 Eintracht Norderstedt 11 23 27 -4 13
7 Hannover 96 II 10 21 14 +7 18
8 Eimsbütteler TV 11 21 33 -12 13
9 St. Pauli II 11 20 21 -1 10
10 Schöningen 11 19 15 +4 24
11 Todesfelde 11 19 37 -18 8
12 Atlas Delmenhorst 11 17 20 -3 15
13 Werder Bremen II 10 16 18 -2 11
14 SSV Jeddeloh 11 16 25 -9 10
15 Hamburger SV II 11 15 25 -10 10
16 HSC Hannover 11 15 26 -11 10
17 VfB Lübeck 11 14 21 -7 11
18 Bremer SV 10 9 18 -9 8