TOTAL VOLUME:
$54.4b
24H VOL:
$218,201,443
24H TRANSACTIONS:
527,797,601
OPEN INTEREST:
$1,191,873,651
500,842
Markets across
13,663
events
MATCHED EVENTS:
1,809
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
CD Huachipato vs. Audax CS Italiano - More Markets
Volume:
$224,324
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Chile Primera Division match between CD Huachipato and Audax CS Italiano scheduled for April 19, 2024 at 8:45 PM ET. The markets span spread betting (at -2.5, -1.5 thresholds for both teams), total goals over/under (at 1.5, 2.5, 3.5, and 4.5 thresholds), and a both-teams-to-score binary. All markets resolve based on the official final score from anfp.cl within 90 minutes of regular play plus stoppage time.
PredictionHero - Resolution Divergence Alerts (RDA)
Unified Resolution Criteria (Consistent across platforms)
All Polymarket markets share identical resolution logic based on official ANFP final scores within 90 minutes of regular play plus stoppage time, with consistent postponement and cancellation handling across all markets in the group.
Primary resolution logic:
Official final score published on anfp.cl (ANFP - Asociación Nacional de Fútbol Profesional), with fallback to consensus of credible reporting if official statistics are not published within 2 hours after event conclusion.Core resolution logic:
- All markets resolve based on the official final score from anfp.cl for the Chile Primera match between CD Huachipato and Audax CS Italiano scheduled for April 19 at 8:45 PM ET.
- Resolution scope is limited to the first 90 minutes of regular play plus stoppage time only; extra time and penalty shootouts are excluded.
- Spread markets resolve based on goal differential: Audax (-2.5) resolves YES if Audax wins by 3+; Audax (-1.5) resolves YES if Audax wins by 2+; Huachipato (-2.5) resolves YES if Huachipato wins by 3+; Huachipato (-1.5) resolves YES if Huachipato wins by 2+.
- Over/Under markets resolve based on combined goals: O/U 1.5 resolves Over if 2+ combined goals; O/U 2.5 resolves Over if 3+ combined goals; O/U 3.5 resolves Over if 4+ combined goals; O/U 4.5 resolves Over if 5+ combined goals.
- Both Teams to Score resolves YES if both teams each score at least one goal; resolves NO if either team scores zero goals.
- If the game is postponed, all markets remain open until completion.
- If the game is canceled entirely with no make-up game, all markets resolve 50-50.
- If the game is started but not completed, all markets resolve according to the official final score at the time of stoppage.
Edge cases & Clarifications:
- Postponement: If the match is postponed, all markets remain open and unresolved until the game is completed on its rescheduled date.
- Cancellation with No Make-Up: If the match is canceled entirely with no make-up game scheduled, all markets in the group resolve 50-50 (split equally between YES and NO outcomes).
- Incomplete Match: If the match is started but not completed (e.g., abandoned mid-play), all markets resolve based on the official final score at the time of stoppage as published by ANFP.
- Delayed Official Publication: If ANFP does not publish official final match statistics within 2 hours after the event's conclusion, resolution may use consensus of credible reporting sources instead.
Timing:
Resolution occurs upon publication of the official final score by ANFP on anfp.cl, or within 2 hours after match conclusion via credible reporting consensus if official statistics are delayed.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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