Gyeongju (W) vs Seoul Amazones (W)
Match Overview
Model vs Market
The model identifies a slight model-market difference for a home win for Gyeongju (W). The difference indicates only a limited disagreement with market expectations.
Recent Performance
The home side have experienced mixed results recently.
The visitors have maintained an unbeaten run. Across the matches with available shooting data, their opponents have held a modest advantage in shooting volume.
Pre-Match Betting Perspective
Despite the positive model-market difference, the available Bet365 pre-match reference odds of 1.90 do not exceed the model's estimated fair odds of approximately 2.03. At this price, a home win for Gyeongju (W) does not appear sufficiently attractive. A more favourable price before kick-off would be needed.
Statistical Context & Data Notes
Historical samples may involve different opponents, competitions and dates; shared fixtures are not independent. Missing shooting data are excluded. No xG, shot-quality or opponent-strength adjustment. Editorial selection thresholds are not significance tests; no prediction is implied.
Historical performance provides context rather than a prediction of the final result.
Model vs Market
Attacking Edge: Seoul Amazones (W)
Recent attacking and defensive numbers do not show a clear overall edge.
Based on the teams' four most recent matches in the available data.
Market Momentum
Normalized implied probability movement · percentage points · as of 2026-10-27 22:33:02
6h window
| Outcome | Pinnacle | Bet365 |
|---|---|---|
| HOME | — | +0.00 pp |
| DRAW | — | +0.00 pp |
| AWAY | — | +0.00 pp |
No qualified strong agreement in this window.
24h window
| Outcome | Pinnacle | Bet365 |
|---|---|---|
| HOME | — | — |
| DRAW | — | — |
| AWAY | — | — |
No qualified strong agreement in this window.
Based on available observation endpoints; continuous coverage is not verified. Unavailable values are not zero movements. Market movement is descriptive, not a prediction.
Explore recent match statisticsCharts and detailed data
Recent matches compared
Historical window: 180 days before kickoff. Shooting benchmarks require at least 30 complete matches.
How have the teams performed recently?
Most recent first · W win · D draw · L loss
Shots taken
Shots per match · difference from league average
Shots conceded
Opposition shots per match · difference from league average
Shots on target
Shots on target per match · difference from league average
Shots on target conceded
Opposition shots on target per match · difference from league average
Goals scored
Goals per match · difference from league average
Shot conversion
Goals per shot · difference from league average in percentage points
Goals conceded per shots faced
Goals conceded per opposition shot · difference from league average in percentage points
Individual match details
Gyeongju (W) · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 07/10/2026 | Home | 1–2 | — | — |
| 03/10/2026 | Home | 0–1 | — | — |
| 05/09/2026 | Away | 1–1 | — | — |
| 02/09/2026 | Away | 1–0 | 3 / 3 | 1 / 0 |
| 28/08/2026 | Away | 1–1 | 16 / 11 | 8 / 5 |
| 22/08/2026 | Home | 2–3 | — | — |
Seoul Amazones (W) · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 07/10/2026 | Home | 1–0 | 11 / 14 | 6 / 4 |
| 03/10/2026 | Away | 1–0 | — | — |
| 23/09/2026 | Home | 1–1 | 0 / 2 | 0 / 0 |
| 14/09/2026 | Home | 0–0 | 3 / 14 | 2 / 6 |
| 05/09/2026 | Away | 2–0 | — | — |
| 02/09/2026 | Home | 1–0 | 17 / 10 | 7 / 1 |
The recent matches are the latest available before kickoff within the historical window and may include other competitions. The benchmark refers to the event league and is weighted by the home/away composition of the recent sample. Goals and shots may have different data coverage; conversion rates use only matches with paired observations. Benchmarks are reconstructed from match dates rather than certified data-capture timestamps. Opponent strength and chance quality (xG) are not adjusted for. Some statistics may be incomplete or anomalous. These indicators are descriptive, not predictive.