Statistics / Football / Germany. Regionalliga - Bayern / Illertissen vs Schwaben Augsburg

Illertissen vs Schwaben Augsburg Statistics & Analysis

Illertissen Illertissen
May 16, 2026 - 12:00
2 1.45
1 1.25
xG Accuracy: 80%
Schwaben Augsburg Schwaben Augsburg
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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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Illertissen Illertissen ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 13:55 UTC Snapshot ID: dp-1602662

Closing Odds 1.55
AI Fair Odds —
CLV +0.0%
Final Result Illertissen win · Illertissen 2–1 Schwaben Augsburg
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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Schwaben Augsburg (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 13.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Illertissen (1X2) 41.8 55.2 -13.4
Draw (1X2) 25.7 19.3 +6.4
Schwaben Augsburg (1X2) 32.6 25.5 +7.0
Over 2.5 goals 50.6 63.8 -13.2
Under 2.5 goals 49.4 36.2 +13.2
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 36.2%. The difference — about 13.2 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 → PRE1 · 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 (PRE1) Implied Δ (pp)
Illertissen (1X2) 1.55 1.55 0.0
Draw (1X2) 4.43 4.43 0.0
Schwaben Augsburg (1X2) 3.35 3.35 0.0
Over 2.5 goals 1.46 1.46 0.0
Under 2.5 goals 2.57 2.57 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Regionalliga - Bayern
  • Fixture: Illertissen vs Schwaben Augsburg
  • Kickoff: 2026-05-16 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Illertissen 1.45 — Schwaben Augsburg 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: 49.4% · Implied: 36.9% · Probability edge: +12.5 pts · Est. EV: +27.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (9.8%)

Totals and BTTS are evaluated against current market prices where available.

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

Historical Recommendation

Historical Decision: Selective Lean - 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 - Bayern Regionalliga - Bayern — Standings
# TEAM MP W D L PTS
1 Nürnberg II 34 24 5 5 77
2 Würzburger Kickers 34 22 9 3 75
3 SpVgg Unterhaching 34 22 4 8 70
4 Illertissen 34 19 7 8 64
5 Vilzing 34 15 6 13 51
6 Aubstadt 34 13 10 11 49
7 Eichstätt 34 12 12 10 48
8 Bayern München II 34 14 6 14 47
9 Wacker Burghausen 34 13 8 13 47
10 Ansbach 34 13 7 14 46
11 Buchbach 34 13 7 14 46
12 Memmingen 34 10 12 12 42
13 Bayreuth 34 9 11 14 38
14 Augsburg II 34 9 7 18 34
15 Schwaben Augsburg 34 9 7 18 34
16 Greuther Fürth II 34 6 10 18 28
17 Viktoria Aschaffenburg 34 6 8 20 26
18 Hankofen-Hailing 34 5 8 21 23
# TEAM MP GS GC +/- PTS
1 Würzburger Kickers 34 74 25 +49 75
2 SpVgg Unterhaching 34 72 30 +42 70
3 Illertissen 34 72 46 +26 64
4 Nürnberg II 34 68 35 +33 77
5 Bayern München II 34 61 52 +9 47
6 Ansbach 34 54 65 -11 46
7 Buchbach 34 54 69 -15 46
8 Vilzing 34 49 44 +5 51
9 Aubstadt 34 49 45 +4 49
10 Eichstätt 34 48 37 +11 48
11 Greuther Fürth II 34 47 60 -13 28
12 Wacker Burghausen 34 46 50 -4 47
13 Memmingen 34 43 47 -4 42
14 Schwaben Augsburg 34 39 60 -21 34
15 Augsburg II 34 37 48 -11 34
16 Bayreuth 34 36 53 -17 38
17 Viktoria Aschaffenburg 34 31 71 -40 26
18 Hankofen-Hailing 34 31 74 -43 23
Regionalliga - Bayern Germany. Regionalliga - Bayern Predictions