TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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New York M vs Philadelphia: Total Bases
kalshi

New York M vs Philadelphia: Total Bases

Volume:
$38,827

Kyle Schwarber: 2+

 - Kalshi

Kyle Schwarber: 2+ - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Jun 21, 2026

Closed: Jun 20, 10:20 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

Kyle Schwarber: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,459
N/A
N/A
$2,895
Settled
Yes
kalshi

Bryce Harper: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$2,906
N/A
N/A
$2,180
Settled
Yes
kalshi

Trea Turner: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$1,781
N/A
N/A
$1,729
Settled
Yes
kalshi

Kyle Schwarber: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$1,729
N/A
N/A
$1,375
Settled
Yes
kalshi

Bryce Harper: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$970
N/A
N/A
$963
Settled
Yes
kalshi

Mark Vientos: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$828
N/A
N/A
$821
Settled
Yes
kalshi

Kyle Schwarber: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$704
N/A
N/A
$686
Settled
Yes
kalshi

Bryce Harper: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$480
N/A
N/A
$320
Settled
Yes
kalshi

Kyle Schwarber: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$438
N/A
N/A
$377
Settled
Yes
kalshi

Kyle Schwarber: 6+

100%
Yes 100¢No 0¢
100¢
N/A
$400
N/A
N/A
$299
Settled
Yes
kalshi

Bryce Harper: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$212
N/A
N/A
$130
Settled
Yes
kalshi

Mark Vientos: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$197
N/A
N/A
$108
Settled
Yes
kalshi

Kyle Schwarber: 7+

100%
Yes 100¢No 0¢
100¢
N/A
$192
N/A
N/A
$148
Settled
Yes
kalshi

J.T. Realmuto: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$129
N/A
N/A
$122
Settled
Yes
kalshi

Carson Benge: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$110
N/A
N/A
$107
Settled
Yes
kalshi

Justin Crawford: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$109
N/A
N/A
$95
Settled
Yes
kalshi

Bryson Stott: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$52
N/A
N/A
$45
Settled
Yes
kalshi

Justin Crawford: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$48
N/A
N/A
$41
Settled
Yes
kalshi

Carson Benge: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$47
N/A
N/A
$34
Settled
Yes
kalshi

J.T. Realmuto: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$36
N/A
N/A
$33
Settled
Yes
kalshi

Carson Benge: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$34
N/A
N/A
$27
Settled
Yes
kalshi

J.T. Realmuto: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$34
N/A
N/A
$31
Settled
Yes
kalshi

Mark Vientos: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$28
N/A
N/A
$18
Settled
Yes
kalshi

Mark Vientos: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$20
N/A
N/A
$17
Settled
Yes
kalshi

Bo Bichette: 4+

0%
Yes 0¢No 100¢
100¢
N/A
$13,566
N/A
N/A
$13,556
Settled
No
Total markets: 25 of 71

Description

These markets track individual player performance in the June 20, 2026 matchup between the New York Mets and Philadelphia Phillies, specifically measuring how many total bases each player accumulates during the game. Total bases are calculated by counting singles as 1 base, doubles as 2 bases, triples as 3 bases, and home runs as 4 bases.

Kalshi

Settlement is based on total bases recorded by each player during the scheduled game on June 20, 2026. Only players in the starting lineup who record at least one plate appearance will have their performance counted toward settlement. If a player is scratched or not included in the starting lineup, the market resolves to fair market price. If a starting player does not record a plate appearance, the market also resolves to fair market price. Pinch-hit at-bats do not count toward any player's total; only at-bats by players who started the game are considered. Each market outcome corresponds to a specific threshold of total bases for its designated player, with settlement determined by the actual total bases accumulated during the game.

Frequently asked questions

On Kalshi, the dashboard for the Mets-Phillies total bases market displays real-time odds and price history as traders buy and sell shares tied to the combined bases outcome for this matchup. You can monitor current market sentiment, recent trading activity, and 24-hour volume to gauge how prediction market participants are positioning themselves. The interface lets you track how the odds shift as game time approaches, giving you a live window into collective expectations around total bases production in this contest.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets aggregate beliefs from traders risking real capital on outcomes. This market may show different implied probabilities than traditional sportsbooks, especially as new information emerges or casual versus sophisticated traders dominate activity. Comparing the two can reveal where market consensus differs from bookmaker pricing.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and offers on shares representing different total bases outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the most recent trades and pending orders, updating in real time as new information arrives or sentiment shifts. Traders profit or lose based on whether their positions move in their favor before the market closes, creating strong incentives for accurate pricing.

This market resolves around Jun 21, 2026, once the Mets-Phillies game concludes and the final result is verifiable from credible public sources. The outcome is determined by the combined total bases recorded by both teams during the contest. Once the game is official and statistics are confirmed, the market settles based on whether the actual total bases falls into the predicted range, and traders' positions are credited or debited accordingly.

Key catalysts for this market include lineup announcements, injury updates to star players, weather conditions at game time, and recent offensive performance trends for both teams. Bullpen strength and matchup-specific factors like left-right splits can shift expectations around run production. As game time approaches, late-breaking news about player availability or field conditions often triggers sharp repricing. Real-time game developments—early scoring, pitching changes—will also influence how traders adjust their positions before the final outcome is locked in.