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%

BETA
Dashboards
Tour
All
Sports
Philadelphia vs Tennessee: 1st Half Total
kalshi

What is the result of Philadelphia vs Tennessee?

Volume:
$130,990

Over 19.5 1H points scored

 - Kalshi

Over 19.5 1H points scored - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 20, 2026

Closed: Sep 20, 2:41 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

Over 19.5 1H points scored

View
100%
47%
Yes 100¢No 0¢
100¢
N/A
$24,569
N/A
N/A
$20,813
Settled
Yes
kalshi

Over 20.5 1H points scored

100%
Yes 100¢No 0¢
100¢
N/A
$18,919
N/A
N/A
$13,153
Settled
Yes
kalshi

Over 21.5 1H points scored

100%
59%
Yes 100¢No 0¢
100¢
N/A
$14,959
N/A
N/A
$10,796
Settled
Yes
kalshi

Over 10.5 1H points scored

100%
14%
Yes 100¢No 0¢
100¢
N/A
$10,168
N/A
N/A
$8,694
Settled
Yes
kalshi

Over 17.5 1H points scored

100%
Yes 100¢No 0¢
100¢
N/A
$6,054
N/A
N/A
$5,104
Settled
Yes
kalshi

Over 3.5 1H points scored

100%
Yes 100¢No 0¢
100¢
N/A
$4,625
N/A
N/A
$4,525
Settled
Yes
kalshi

Over 7.5 1H points scored

100%
5%
Yes 100¢No 0¢
100¢
N/A
$3,059
N/A
N/A
$3,059
Settled
Yes
kalshi

Over 14.5 1H points scored

100%
30%
Yes 100¢No 0¢
100¢
N/A
$1,691
N/A
N/A
$1,587
Settled
Yes
kalshi

Over 31.5 1H points scored

0%
Yes 0¢No 100¢
100¢
N/A
$15,309
N/A
N/A
$14,074
Settled
No
kalshi

Over 35.5 1H points scored

0%
Yes 0¢No 100¢
100¢
N/A
$13,139
N/A
N/A
$12,715
Settled
No
kalshi

Over 28.5 1H points scored

0%
13%
Yes 0¢No 100¢
100¢
N/A
$9,812
N/A
N/A
$7,537
Settled
No
kalshi

Over 24.5 1H points scored

0%
24%
Yes 0¢No 100¢
100¢
N/A
$5,517
N/A
N/A
$4,281
Settled
No
kalshi

Over 42.5 1H points scored

0%
1%
Yes 0¢No 100¢
100¢
N/A
$2,660
N/A
N/A
$2,660
Settled
No
kalshi

Over 38.5 1H points scored

0%
Yes 0¢No 100¢
100¢
N/A
$509
N/A
N/A
$499
Settled
No
Total markets: 14

Description

This set of markets evaluates various scoring thresholds for the first half of an upcoming football game between Philadelphia and Tennessee. Each threshold represents a different level of offensive performance expected from both teams combined before halftime.

Kalshi

These markets determine whether the combined points scored by Philadelphia and Tennessee during the first half of their Pro Football game scheduled for September 20, 2026, exceed specified thresholds ranging from 3.5 to 42.5 points. All markets exclusively consider points scored in the first half of play, with each threshold representing a distinct level of scoring expectation. The outcome for each market is binary: 'Yes' if the collective first-half points surpass the stated threshold, and 'No' otherwise. All markets operate independently, meaning the resolution of one threshold does not affect the others. Kalshi explicitly disclaims any affiliation with the governing league, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Philadelphia vs Tennessee 1st half market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, and track the total volume traded in this market, which is currently $130,990. The 24-hour volume is $126,258, indicating recent trading activity. This allows you to assess market sentiment and potential shifts in expectations regarding the total points scored in the first half of the game.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from sportsbook odds which are set by professional oddsmakers. Sportsbooks may incorporate factors like public betting percentages and risk management strategies, while this market relies on individuals forecasting the outcome. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing the two can offer a broader perspective on the likely result, though neither is guaranteed to be perfectly accurate. Analyzing these differences can be a valuable exercise for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about whether the total points scored in the first half will be over or under a certain threshold. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its assessment of the likely outcome of the game.

This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first half of the Philadelphia vs Tennessee game will be used to determine whether the total points scored were over or under the threshold defined by the contracts traded on Kalshi. The resolution will be based on official game statistics, ensuring a transparent and objective determination of the result. Traders will then be paid out based on their positions in the market.

Several factors could influence trading activity in this market. News regarding player injuries to key offensive players on either team would likely have a significant impact, as would any changes in weather conditions that could affect scoring. Unexpected shifts in public sentiment, perhaps driven by expert analysis or prominent sports commentators, could also move the market. Finally, any late-breaking information about team strategies or coaching decisions could prompt traders to reassess their predictions and adjust their positions accordingly, leading to price fluctuations.