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LoL: paiN Gaming Academy vs RMD Gaming (BO1) - Circuito Desafiante Regular Season
kalshi
polymarket

LoL: paiN Gaming Academy vs RMD Gaming (BO1) - Circuito Desafiante Regular Season

Volume:
$184,398

RMD Gaming

 - Kalshi

RMD Gaming - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 22, 2026

Closed: Apr 21, 11:00 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

RMD Gaming

View
100%
Yes 100¢No 0¢
—
N/A
$20,199
N/A
N/A
$15,951
Settled
Yes
polymarket

Both Teams Slay a Dragon

View
100%
Yes 100¢No 0¢
—
N/A
$6
N/A
N/A
N/A
Settled
Yes
polymarket

Match Winner

View
0%
Yes 0¢No 100¢
—
N/A
$107,248
N/A
N/A
N/A
Settled
Yes
kalshi

paiN Gaming Academy

View
0%
Yes 0¢No 100¢
—
N/A
$56,916
N/A
N/A
$51,745
Settled
No
polymarket

Any Player Penta Kill

View
0%
Yes 0¢No 100¢
—
N/A
$12
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Kills

View
0%
Yes 0¢No 100¢
—
N/A
$6
N/A
N/A
N/A
Settled
Yes
polymarket

Both Teams Slay Baron Nashor

View
0%
Yes 0¢No 100¢
—
N/A
$6
N/A
N/A
N/A
Settled
No
polymarket

Both Teams Destroy Inhibitors

View
0%
Yes 0¢No 100¢
—
N/A
$6
N/A
N/A
N/A
Settled
No
polymarket

Any Player Quadra Kill

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

Description

This event group covers a best-of-one League of Legends match between paiN Gaming Academy and RMD Gaming in the Circuito Desafiante Regular Season, scheduled for April 21, 2026 at 7:00 PM EDT. Markets span both the match outcome and in-game statistics (kills, objectives, multi-kills) from Game 1. Resolution depends on whether the match is played in full, forfeited, or canceled.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi and Polymarket are resolving fundamentally different events. Kalshi resolves on the match winner (binary: paiN or RMD), while Polymarket resolves on in-game statistics (Penta Kills, Baron slays, Dragon slays, Inhibitor destruction, Quadra Kills, Kill parity). These are logically independent outcomes with no causal link.Hero tip: If you trade on Kalshi, you are betting on match outcome only. If you trade on Polymarket, you are betting on specific in-game events that may or may not occur regardless of who wins. Do not assume correlation between platforms—a team can win 2-0 without any Penta Kill, or lose while achieving multiple Baron slays. Treat each platform's market as a separate prediction.

Critical divergence points:

  • Kalshi: Resolves to 'Yes' if either paiN Gaming Academy OR RMD Gaming wins the match. This is a simple binary match-winner market. Quote: 'If paiN Gaming Academy wins the Circuito Desafiante 2026... match... then the market resolves to Yes. If RMD Gaming wins... then the market resolves to Yes.' This creates logical ambiguity—both outcomes trigger Yes, making the Kalshi market effectively a 'Will the match be played?' proxy rather than a true winner-picker.
  • Polymarket: Resolves on six independent in-game statistics: (1) Any Penta Kill, (2) Both teams slay Baron, (3) Both teams slay a Dragon, (4) Both teams destroy Inhibitors, (5) Any Quadra Kill, (6) Odd/Even total kills. Each market has its own 50-50 resolution clause if the match is canceled, forfeited, or delayed >7 days. Quote: 'This market will resolve to Yes if any player on either team achieves a Penta Kill during Game 1. This market will resolve to No if no player achieves a Penta Kill.' These are outcome-independent statistics.
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.