TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
CD Universidad Católica vs. CD Universidad de Concepción
polymarket
kalshi

CD Universidad Católica vs. CD Universidad de Concepción

Volume:
$405,883

Universidad Catolica

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 15, 2026

Closed: Jun 14, 7:30 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Universidad Catolica

View
100%
Yes 100¢No 0¢
100¢
N/A
$127,980
N/A
N/A
$64,044
Settled
Yes
polymarket

CD Universidad Católica

100%
Yes 100¢No 0¢
0.1¢
N/A
$58,048
N/A
N/A
N/A
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
100¢
N/A
$105,339
N/A
N/A
$63,081
Settled
No
polymarket

Draw (CD Universidad Católica vs. CD Universidad de Concepción)

0%
Yes 0¢No 100¢
—
N/A
$4,676
N/A
N/A
N/A
Settled
No
kalshi

U de Concepcion

0%
Yes 0¢No 100¢
100¢
N/A
$88,823
N/A
N/A
$63,883
Settled
No
polymarket

CD Universidad de Concepción

0%
Yes 0¢No 100¢
—
N/A
$21,017
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event group covers a Chilean professional soccer match between CD Universidad Católica and CD Universidad de Concepción scheduled for June 14, 2026. Three prediction markets track the outcome: whether Concepción wins, whether Católica wins, and whether the match ends in a draw. All markets resolve based on the result within 90 minutes of regular play plus stoppage time.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket explicitly resolves the draw market to Yes upon cancellation with no make-up game, while Kalshi provides no cancellation clause, creating conflicting settlement logic for that edge case.Hero tip: If match cancellation occurs, Polymarket draw bettors receive Yes resolution while Kalshi draw bettors face unresolved markets. Traders should prioritize Polymarket's draw market if cancellation risk is material, or avoid cross-platform hedging on the draw outcome.

Critical divergence points:

  • Polymarket: Three separate binary markets: Concepción win resolves Yes if Concepción wins (No if canceled), Católica win resolves Yes if Católica wins (No if canceled), Draw resolves Yes if match ends in draw (Yes if canceled with no make-up). All reference ANFP as primary source with 2-hour fallback to credible reporting consensus.
  • Kalshi: Three outcome markets covering Tie, U de Concepcion win, and Universidad Catolica win, all resolving Yes only if that specific outcome occurs after 90 minutes plus stoppage time. No explicit cancellation or postponement clause provided.
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.

Polymarket

This event is for the upcoming Chile Primera game, scheduled for Sunday, June 14, 2026 between CD Universidad Católica and CD Universidad de Concepción.

Kalshi

This event covers the Universidad Católica vs U de Concepción professional Chile Liga de Primera soccer match scheduled for June 14, 2026. Resolution is based on the final score after 90 minutes of regulation play plus stoppage time, with extra time and penalties excluded from consideration. Each outcome market resolves to Yes based on the corresponding result: Universidad Católica wins, U de Concepción wins, or the match ends in a tie. If the game is cancelled or rescheduled to more than two weeks after the original date, the market will resolve to a fair price in accordance with standard procedures.

Frequently asked questions

The CD Universidad Católica vs. CD Universidad de Concepción dashboard aggregates real-time odds and trading activity across Polymarket and Kalshi, the leading decentralized prediction markets for this matchup. You can monitor consensus probability shifts, track cumulative trading volume across both platforms, and compare how each market prices the outcome of this Chilean football fixture. The dashboard displays current implied odds for each team and the draw, updated continuously as traders adjust positions based on team news, injury reports, and pre-match analysis.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Polymarket and Kalshi serve different trader demographics, liquidity pools, and fee structures, creating natural price discrepancies for the same CD Universidad Católica vs. CD Universidad de Concepción outcome. Polymarket may attract higher volume from retail traders, while Kalshi draws institutional participation. Differences in market depth, settlement timing, and platform-specific incentives mean identical outcomes can trade at slightly different implied probabilities. Arbitrage traders exploit these gaps, but temporary spreads persist due to withdrawal friction, regulatory constraints, and trader preference for specific venues.

Key catalysts for CD Universidad Católica vs. CD Universidad de Concepción odds include confirmed team lineups and injury announcements, especially for star players or goalkeepers. Recent form, head-to-head records, and league standings shifts will influence trader sentiment. Weather forecasts for match day, managerial statements, and any late-breaking news about player suspensions or tactical changes can trigger sharp repricing. Social media sentiment and expert punditry may also sway retail traders, while institutional traders monitor historical performance metrics and advanced analytics to identify value.