🏆
Sports OPEN

New York at Toronto: Points

📊 $8K traded 🏦 Source: Kalshi
Total Volume
$8K
Open Interest
8,320
Active Markets
39
Markets
39

Trade This Market

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Yes Ask
Last Price
Prev Close
Buy YES → Buy NO

Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (39)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Mikal Bridges: 15+ 52%
49¢ 51¢ $2K Trade →
Jakob Poeltl: 10+ 52%
52¢ 55¢ $1K Trade →
Jalen Brunson: 20+ 74%
73¢ 74¢ $1K Trade →
Karl-Anthony Towns: 20+ 42%
39¢ 42¢ $795 Trade →
Karl-Anthony Towns: 25+ 22%
16¢ 18¢ $641 Trade →
Jalen Brunson: 35+ 15%
14¢ $490 Trade →
Scottie Barnes: 15+ 61%
57¢ 61¢ $408 Trade →
OG Anunoby: 15+ 56%
52¢ 56¢ $347 Trade →
Jalen Brunson: 25+ 55%
51¢ 53¢ $328 Trade →
Jakob Poeltl: 20+ 9%
$201 Trade →
Josh Hart: 20+ 10%
10¢ $174 Trade →
Josh Hart: 10+ 65%
62¢ 65¢ $121 Trade →
Mikal Bridges: 10+ 81%
75¢ 77¢ $114 Trade →
OG Anunoby: 20+ 30%
24¢ 27¢ $100 Trade →
Jakob Poeltl: 15+ 21%
20¢ 21¢ $88 Trade →
Jalen Brunson: 30+ 31%
26¢ 31¢ $70 Trade →
Immanuel Quickley: 15+ 65%
58¢ 65¢ $70 Trade →
Mikal Bridges: 25+ 7%
$67 Trade →
Karl-Anthony Towns: 15+ 70%
65¢ 70¢ $64 Trade →
Josh Hart: 15+ 30%
29¢ 30¢ $27 Trade →
RJ Barrett: 15+ 65%
64¢ 66¢ $25 Trade →
Mitchell Robinson: 10+ 20%
15¢ $15 Trade →
Scottie Barnes: 10+ 87%
81¢ 86¢ $12 Trade →
Mikal Bridges: 20+ 23%
21¢ 25¢ $8 Trade →
OG Anunoby: 10+ 82%
78¢ 82¢ $7 Trade →
RJ Barrett: 30+ 2%
$4 Trade →
Scottie Barnes: 25+ 89%
13¢ $1 Trade →
RJ Barrett: 20+ 34%
38¢ 40¢ $1 Trade →
Immanuel Quickley: 20+ 39%
39¢ $1 Trade →
RJ Barrett: 25+ 0%
15¢ 16¢ $0 Trade →
Jakob Poeltl: 25+ 0%
$0 Trade →
Karl-Anthony Towns: 30+ 0%
$0 Trade →
Mitchell Robinson: 25+ 0%
$0 Trade →
Mitchell Robinson: 20+ 0%
$0 Trade →
Immanuel Quickley: 25+ 0%
17¢ $0 Trade →
OG Anunoby: 25+ 0%
11¢ $0 Trade →
Mitchell Robinson: 15+ 0%
$0 Trade →
Scottie Barnes: 20+ 0%
29¢ 32¢ $0 Trade →
Immanuel Quickley: 30+ 0%
$0 Trade →

About This Market

This market lets traders take positions on the total points scored in the New York at Toronto game; totals markets matter because they concentrate attention on pace, matchup dynamics, and roster availability rather than which team wins.

New York and Toronto matchups often reflect contrasting styles (tempo, defensive schemes and scoring balance) that drive game totals. Seasonal context — recent form, travel schedules and any roster changes — can shift typical scoring patterns from one meeting to the next.

Market prices are a live aggregation of traders' views about the most likely total points outcome; use price movements and traded volume as signals that new information (injuries, rotations, lineup announcements) has been incorporated.

Key Factors

Frequently Asked Questions

When does this New York at Toronto: Points market close relative to the scheduled game?

The listing shows 'Closes: TBD'; on many platforms points markets close at or just before scheduled tip-off or when lineups lock, so verify the exact close time on the market page and monitor for any updates as game time approaches.

What do the 39 outcomes in this market represent and how should I read them?

The 39 outcomes indicate a granular set of possible total-point results (either exact totals or tightly spaced ranges); inspect the market's outcome labels to see whether outcomes are exact point totals, ranges, or buckets and trade accordingly.

How will the confirmed absence of a team's leading scorer affect the Points market?

A confirmed absence typically lowers the expected total because of lost scoring and potential pace changes; the market usually reacts quickly after official injury reports, so watch price moves and related news to assess impact.

Does overtime count toward the Points outcome in this event?

Whether overtime is included depends on this specific market's rules — some totals markets include overtime while others do not — so check the market's rule section on the platform before trading.

How useful are historical New York–Toronto head-to-head scoring trends when evaluating this market?

Head-to-head history provides context on stylistic matchups, but it should be weighted with caution: prioritize recent meetings, current-season statistics, roster continuity and venue, since long-term history can be skewed by outdated lineups or coaching changes.

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