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%

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LoL: ROSSMANN Centaurs vs Team Orange Gaming (BO1) - Prime League 1st Division Regular Season
kalshi
polymarket

LoL: ROSSMANN Centaurs vs Team Orange Gaming (BO1) - Prime League 1st Division Regular Season

Volume:
$33,107

Team Orange Gaming

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 17, 2026

Closed: Apr 17, 5:00 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

Team Orange Gaming

View
100%
Yes 100¢No 0¢
—
N/A
$6,575
N/A
N/A
$4,349
Settled
Yes
polymarket

Match Winner

0%
Yes 0¢No 100¢
—
N/A
$21,379
N/A
N/A
N/A
Settled
Yes
polymarket

Both Teams Slay a Dragon

100%
Yes 100¢No 0¢
—
N/A
$5
N/A
N/A
N/A
Settled
Yes
kalshi

ROSSMANN Centaurs

0%
Yes 0¢No 100¢
—
N/A
$4,953
N/A
N/A
$4,636
Settled
No
polymarket

Any Player Penta Kill

0%
Yes 0¢No 100¢
—
N/A
$72
N/A
N/A
N/A
Settled
No
polymarket

Both Teams Slay Baron Nashor

0%
Yes 0¢No 100¢
—
N/A
$57
N/A
N/A
N/A
Settled
No
polymarket

Both Teams Destroy Inhibitors

0%
Yes 0¢No 100¢
—
N/A
$46
N/A
N/A
N/A
Settled
No
polymarket

Any Player Quadra Kill

0%
Yes 0¢No 100¢
—
N/A
$16
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Kills

0%
Yes 0¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
Yes
Total markets: 9

Description

This event group covers a best-of-one League of Legends match between ROSSMANN Centaurs and Team Orange Gaming in the Prime League 1st Division Regular Season, scheduled for April 17, 2026 at 1:00 PM EDT. Markets span match outcome, in-game statistics (kills, objectives), and rare mechanical events (quadra/penta kills) during Game 1.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic is incomplete and ambiguous, resolving to YES for either team winning without specifying which outcome each market represents, while Polymarket provides clear binary outcomes (ROSSMANN Centaurs vs Team Orange Gaming) with explicit tie/cancellation handling.Hero tip: On Kalshi, the match winner market is logically broken—it resolves YES regardless of which team wins, making it unresolvable. On Polymarket, the market clearly resolves to the winning team name. Avoid Kalshi's winner market entirely; trade only on Polymarket for the match outcome. For the Game 1 prop markets (Quadra Kill, Penta Kill, Odd/Even Kills, Dragons, Inhibitors, Baron), both platforms align on 50-50 resolution for cancellations, forfeits, and delays beyond 7 days.

Critical divergence points:

  • Kalshi: Match winner market states: 'If Team Orange Gaming wins...then the market resolves to Yes' AND 'If ROSSMANN Centaurs wins...then the market resolves to Yes.' This creates a logical contradiction where both outcomes resolve to YES, making the market unresolvable. No NO resolution condition is specified.
  • Polymarket: Match winner market clearly specifies: 'This market will resolve to ROSSMANN Centaurs if ROSSMANN Centaurs win' and 'This market will resolve to Team Orange Gaming if Team Orange Gaming win.' Explicit tie/cancellation handling: resolves 50-50 if match is canceled, ends in tie, delayed beyond 7 days without winner, or ends in forfeit/disqualification/walkover before start. Completed forfeits during play resolve to the winning team.
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.