DLSU Green Archers vs UP Fighting Maroons
Match Overview
Model vs Market
The model identifies a clear model-market difference for an away win for UP Fighting Maroons. The model is meaningfully more favourable to this outcome than the market.
Recent Performance
The visitors have won their last 2 matches.
Across 1 match with complete shooting data, the home side averaged 8.0 shots per match and conceded 1 goals in that sample. Across 2 such matches, the visitors averaged 15.5 shots per match and conceded 1 goals.
In recent matches with recorded scores, the home side averaged 2.00 goals per match, against a weighted league reference of 1.00. The visitors averaged 1.50 goals per match, against their weighted league reference of 1.33.
Pre-Match Betting Perspective
The available Bet365 pre-match reference odds of 2.35 exceed the model's estimated fair odds of approximately 2.09. This suggests a potential pricing advantage for an away win for UP Fighting Maroons, although the difference alone is not enough to establish a reliable betting opportunity. The assessment applies only before kick-off.
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
UP Fighting Maroons has the stronger recent profile
The away side has the stronger recent profile in both attack and defence.
Based on the teams' four most recent matches in the available data.
Market Momentum
Normalized implied probability movement · percentage points · as of 2026-10-21 21:13:02
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 | — | -9.74 pp |
| DRAW | — | +1.47 pp |
| AWAY | — | +8.27 pp |
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
DLSU Green Archers · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 11/10/2026 | Away | 2–1 | 8 / 11 | 4 / 2 |
UP Fighting Maroons · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 15/10/2026 | Home | 1–0 | 20 / 1 | 8 / 0 |
| 08/10/2026 | Home | 2–1 | 11 / 6 | 5 / 2 |
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.