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TB Lightning at EDM Oilers: Points

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
34
Markets
34

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All Outcomes (34)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Jake Guentzel: 1+ 0%
$0 Trade →
Brayden Point: 1+ 0%
$0 Trade →
Nikita Kucherov: 2+ 0%
$0 Trade →
Nikita Kucherov: 3+ 0%
$0 Trade →
Connor McDavid: 2+ 0%
$0 Trade →
Ryan Nugent-Hopkins: 1+ 0%
$0 Trade →
Anthony Cirelli: 2+ 0%
$0 Trade →
Brandon Hagel: 3+ 0%
$0 Trade →
Anthony Cirelli: 3+ 0%
$0 Trade →
Darren Raddysh: 2+ 0%
$0 Trade →
Vasily Podkolzin: 2+ 0%
$0 Trade →
Ryan Nugent-Hopkins: 3+ 0%
$0 Trade →
Evan Bouchard: 3+ 0%
$0 Trade →
Darren Raddysh: 3+ 0%
$0 Trade →
Brayden Point: 3+ 0%
$0 Trade →
Jake Guentzel: 3+ 0%
$0 Trade →
Brandon Hagel: 2+ 0%
$0 Trade →
Brayden Point: 2+ 0%
$0 Trade →
Evan Bouchard: 2+ 0%
$0 Trade →
Jake Guentzel: 2+ 0%
$0 Trade →
Ryan Nugent-Hopkins: 2+ 0%
$0 Trade →
Zach Hyman: 3+ 0%
$0 Trade →
Connor McDavid: 3+ 0%
$0 Trade →
Mattias Ekholm: 2+ 0%
$0 Trade →
Nikita Kucherov: 1+ 0%
$0 Trade →
Zach Hyman: 2+ 0%
$0 Trade →
Brandon Hagel: 1+ 0%
$0 Trade →
Darren Raddysh: 1+ 0%
$0 Trade →
Connor McDavid: 1+ 0%
$0 Trade →
Zach Hyman: 1+ 0%
$0 Trade →
Evan Bouchard: 1+ 0%
$0 Trade →
Anthony Cirelli: 1+ 0%
$0 Trade →
Vasily Podkolzin: 1+ 0%
$0 Trade →
Mattias Ekholm: 1+ 0%
$0 Trade →

About This Market

This market offers contracts tied to the total points scored in the Tampa Bay Lightning at Edmonton Oilers game, letting traders express views on how high- or low-scoring the matchup will be. It matters because scoring totals reflect team form, goaltending, and game context, and can move quickly as pregame news arrives.

Edmonton traditionally fields one of the NHL's most prolific offenses, led by its top-line playmakers, while Tampa Bay combines elite transition offense with experienced depth scoring and a strong special teams unit. Game location (Edmonton), recent schedule, and which goaltenders are starting have historically had large effects on the final combined score. Late scratches, lineup changes, and special teams availability can swing expectations for the total points significantly.

Market prices represent the crowd’s real-time assessment of which scoring outcomes are most likely and update as new information arrives; use them as a live signal rather than a fixed forecast. Because prices move with news (injuries, starts, travel), check them again close to puck drop if you plan to trade or hedge.

Key Factors

Frequently Asked Questions

When will this specific market close for trading?

The page lists the market close as TBD; typically the exchange sets a concrete close time before puck drop or when the outcome can no longer be resolved—check the market page and official exchange notices for the final close time.

What exactly do the 34 outcomes represent for TB Lightning at EDM Oilers: Points?

Each outcome corresponds to a specific points-related result described in the contract text (for example an exact combined-goal total or a discrete scoring range); open the outcome list on the market page to see the precise definitions before trading.

Which players should I watch in the hours before puck drop because they most affect this market?

Monitor the health and starting status of top scorers: for Edmonton that typically includes Connor McDavid and Leon Draisaitl, and for Tampa Bay players like Nikita Kucherov and Brayden Point; also confirm which goaltender is starting, since goalie selection is often the largest single determinant of expected scoring.

How do late scratches, injuries, or lineup changes for this game impact the points outcomes?

Late scratches to top-line forwards or a surprise change in starting goalie generally reduce or increase expected scoring respectively; special-teams losses (key penalty killers or power-play quarterbacks out) also shift expectations—watch official team reports and last-minute line updates.

How should I use head-to-head and recent team scoring trends for this specific matchup?

Compare recent goal totals, home/away splits for Edmonton and Tampa Bay, current power-play/penalty-kill rates, and the teams’ last several game paces; prioritize information closest to game time (injuries, confirmed starters, and rest) since those drive the largest short-term adjustments to expected points.

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