TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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CA Lanús vs. CS Cienciano
kalshi
polymarket

What is the result of CA Lanús vs. CS Cienciano?

Volume:
$505,571

Reg Time: Lanus

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 23, 2026

Closed: Jul 22, 10:31 PM EST

kalshi

Kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Reg Time: Lanus

View
100%
Yes 100¢No 0¢
100¢
N/A
$127,324
N/A
N/A
$71,965
Settled
Yes
polymarket

CA Lanús

100%
Yes 100¢No 0¢
0.1¢
N/A
$125,346
N/A
N/A
N/A
Settled
Yes
kalshi

Reg Time: Cienciano

0%
Yes 0¢No 100¢
100¢
N/A
$175,474
N/A
N/A
$110,577
Settled
No
polymarket

CS Cienciano

0%
Yes 0¢No 100¢
—
N/A
$6,503
N/A
N/A
N/A
Settled
No
kalshi

Reg Time: Tie

0%
Yes 0¢No 100¢
100¢
N/A
$70,313
N/A
N/A
$47,590
Settled
No
polymarket

Draw (CA Lanús vs. CS Cienciano)

0%
Yes 0¢No 100¢
—
N/A
$611
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event group covers a professional CONMEBOL Sudamericana soccer match between CA Lanús and CS Cienciano scheduled for July 22, 2026. Markets are offered on three outcomes: Lanús win, draw, and Cienciano win, with resolution based on the result after 90 minutes plus stoppage time (regular play only).

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket presents three independent binary markets that could theoretically all resolve No (if match is canceled), while Kalshi's structure ensures exactly one outcome resolves Yes under normal circumstances. The market architectures differ in how they handle the outcome space, though both reference the same underlying event and resolution source.Hero tip: Both platforms use CONMEBOL official statistics as primary source with 2-hour fallback to credible reporting. The key difference is structural: Polymarket's three binaries can create ambiguity in edge cases (e.g., cancellation), while Kalshi's categorical design is clearer. For any trade, verify with the platform whether cancellation scenarios are handled identically. Use CONMEBOL official final score as your single source of truth and cross-reference against each platform's specific resolution language.

Critical divergence points:

  • Polymarket: Three separate binary markets (Lanús Win Yes/No, Draw Yes/No, Cienciano Win Yes/No). Cancellation with no makeup resolves Lanús Win and Cienciano Win to No, but Draw to Yes. Regular play only (90 min + stoppage). Primary source: CONMEBOL official statistics within 2 hours, fallback to credible reporting consensus.
  • Kalshi: Three categorical outcome markets presented as Yes/No. Each resolves Yes only if that specific outcome occurs; structure implies exactly one resolves Yes. Regular play only (90 min + stoppage, no extra time or penalties). Resolution source not explicitly stated but references CONMEBOL Sudamericana professional soccer.
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 Copa Sudamericana game, scheduled for Wednesday, July 22, 2026 between CA Lanús and CS Cienciano.

Kalshi

Resolution is based on the final result of the Lanus vs Cienciano CONMEBOL Sudamericana match after 90 minutes plus stoppage time, not including extra time or penalties. Each outcome—Lanus victory, Cienciano victory, or a tie—resolves to Yes for its corresponding market. If the match ends in a draw, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with established rules.

Frequently asked questions

Prediction markets and traditional sportsbooks price outcomes differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. On this market, the consensus odds reflect what thousands of independent traders believe will happen, often incorporating real-time information faster than sportsbooks adjust their lines. Prediction market prices tend to be sharper and more responsive to breaking news, injuries, or lineup changes, making them a useful benchmark for comparing against fixed sportsbook spreads and moneylines.

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. Each platform attracts different trader demographics, liquidity pools, and fee structures, which can cause temporary price gaps. Polymarket and Kalshi may also have slightly different market mechanics, settlement windows, or user interfaces that influence how quickly traders react to new information. Arbitrage traders often exploit these spreads, but differences can persist if one venue has lower volume or if traders on each platform weight the same information differently. Monitoring both venues helps you identify which platform's pricing is most reliable and whether a gap represents a genuine opportunity.

Key injury announcements, lineup changes, or tactical shifts by either team can trigger sharp price moves. Recent form, head-to-head records, and any off-field developments affecting player availability will influence trader positioning. Weather conditions or venue factors closer to match day may also shift odds. Major betting syndicates entering the market or sudden volume spikes on one platform can create momentum. Social media sentiment and expert commentary can sway retail traders, while institutional money often reacts to statistical models and historical matchup data. Monitor team news feeds and platform volume for early signals of shifting conviction.