Statistics / Football / Australia. South Australia NPL / MetroStars vs Croydon Kings

MetroStars vs Croydon Kings Statistics & Analysis

Aug 22, 2026 - 09:30
2 1.37
0 1.23
xG Accuracy: 60%
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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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 MetroStars MetroStars ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 19, 2026 · 00:26 UTC Snapshot ID: dp-4540680

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result MetroStars win · MetroStars 2–0 Croydon Kings
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: South Australia NPL
  • Fixture: MetroStars vs Croydon Kings
  • Kickoff: 2026-08-22 09:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): MetroStars 1.37 — Croydon Kings 1.23 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 28, 2026 (UTC)

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Back to Statistics
South Australia NPL South Australia NPL — Standings
# TEAM MP W D L PTS
1 Adelaide City 22 14 6 2 48
2 West Torrens Birkalla 22 14 3 5 45
3 MetroStars 22 13 5 4 44
4 Playford City Patriots 22 10 5 7 35
5 White City Woodville 22 10 3 9 33
6 Croydon Kings 22 8 6 8 30
7 Adelaide United II 22 7 8 7 29
8 Campbelltown City 22 8 5 9 29
9 Sturt Lions 22 8 3 11 27
10 West Adelaide 22 6 7 9 25
11 Adelaide Comets 22 5 5 12 20
12 Para Hills Knights 22 0 2 20 2
# TEAM MP GS GC +/- PTS
1 West Torrens Birkalla 22 54 29 +25 45
2 MetroStars 22 53 23 +30 44
3 Croydon Kings 22 46 41 +5 30
4 Adelaide City 22 44 16 +28 48
5 Playford City Patriots 22 42 31 +11 35
6 West Adelaide 22 40 44 -4 25
7 White City Woodville 22 35 30 +5 33
8 Campbelltown City 22 35 36 -1 29
9 Sturt Lions 22 35 36 -1 27
10 Adelaide United II 22 33 32 +1 29
11 Adelaide Comets 22 25 38 -13 20
12 Para Hills Knights 22 16 102 -86 2