TOTAL VOLUME:

$61.9b

24H VOL:

$249,705,498

24H TRANSACTIONS:

600,069,390

OPEN INTEREST:

$1,354,509,605

579,516

Markets across

14,317

events

MATCHED EVENTS:

4,116

PLATFORM COVERAGE:

4

Polymarket:

50%

VS.

Kalshi:

50%

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kalshi

Real Valladolid CF vs. Burgos CF? Odds & Prediction Markets

Volume:
$468,020
PredictionHero
Burgos CF 100%
polymarket
Burgos 100%
kalshi
Tie 0%
kalshi
Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Mar 2026Jun…020406080100

Closed: Mar 28, 2:15 PM EST

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Description

Real Valladolid CF and Burgos CF will compete in a La Liga Hypermotion match on March 28, 2026. The outcome will be determined by the final score within 90 minutes of regular play plus stoppage time. Three mutually exclusive markets cover all possible results: Valladolid win, draw, or Burgos win.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Polymarket and Kalshi both resolve based on the official match outcome (win, loss, or draw) for Real Valladolid CF vs. Burgos CF on March 28, 2026, considering only the 90 minutes of regular play plus stoppage time, with identical handling of postponements and cancellations.

Primary resolution logic:

Official statistics from La Liga 2 (the governing body) or credible reporting consensus if official statistics are not published within 2 hours after match conclusion.

Core resolution logic:

  • Polymarket Market 1 (Valladolid Win) resolves YES if and only if Real Valladolid CF wins within 90 minutes plus stoppage time; otherwise NO.
  • Polymarket Market 2 (Draw) resolves YES if and only if the match ends in a draw within 90 minutes plus stoppage time; otherwise NO.
  • Polymarket Market 3 (Burgos Win) resolves YES if and only if Burgos CF wins within 90 minutes plus stoppage time; otherwise NO.
  • Kalshi Markets 1, 2, and 3 resolve YES for Valladolid win, Burgos win, and draw respectively, using identical match outcome criteria (90 minutes plus stoppage time).
  • Exactly ONE market across both platforms will resolve YES (either Valladolid win, Burgos win, or draw).
  • If the match is postponed, all markets remain open until the match is completed.
  • If the match is canceled with no make-up game, Polymarket's Valladolid and Burgos markets resolve NO, while the Draw market resolves YES; Kalshi's markets follow the same logic.

Edge cases & Clarifications:

  • Match Postponement: If the match is postponed, all markets on both platforms remain open and unresolved until the match is actually played. Resolution occurs only after the rescheduled match concludes.
  • Match Cancellation Without Make-Up: If the match is canceled entirely with no make-up game scheduled, Polymarket and Kalshi both treat this as a draw outcome: Valladolid and Burgos win markets resolve NO, while the draw market resolves YES.
  • Extra Time and Penalties: Both platforms explicitly exclude extra time and penalty shootouts from resolution scope. Only the outcome after 90 minutes of regular play plus stoppage time is considered.
  • Source Hierarchy: Both platforms prioritize official La Liga 2 statistics as the primary resolution source. If official statistics are not published within 2 hours after match conclusion, a consensus of credible reporting sources is used as the fallback.

Timing:

Resolution occurs upon the conclusion of 90 minutes of regular play plus stoppage time on March 28, 2026, with official statistics or credible reporting consensus finalized within 2 hours after match end.
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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