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StatSharp, a leading sports analytics platform, is proud to announce the launch of its latest feature: Player Stats Coverage with Possession-Based Statistics.

FOR IMMEDIATE RELEASE

January 8, 2025

StatSharp Unveils Powerful New Player Stats Coverage with Possession-Based Analytics for NBA and College Basketball

StatSharp, a leading sports analytics platform, is proud to announce the launch of its latest feature: Player Stats Coverage with Possession-Based Statistics. This groundbreaking addition offers sports handicappers, analysts, fantasy players, media, and basketball enthusiasts unparalleled access to performance metrics for both NBA and college basketball athletes. From advanced shot efficiencies to detailed matchup breakdowns, StatSharp’s new feature is set to revolutionize how basketball data is examined and utilized in real time.

A Comprehensive Look at Player Data

At StatSharp, we believe that data should empower smarter decisions on and off the court. Our new Player Stats Coverage provides everything you need to dive deep into player metrics across multiple leagues, conferences, and teams. These insights now include possession-based statistics, enabling you to compare and contrast athletes more accurately than ever before.

 

 
Season: 2025,  Condition: All Games,  Sorted by: PTS, DESC
        Shooting 3PT Shooting FT Shooting Rebounding  
Player Team G GS Min Poss %Tm PTS FGM FGA Pct 3PM 3PA Pct FTM FTA Pct Tot Def Off AST PF TO BLK STL
Donald Hand, Jr. BC 15 15 30.3 11.3 16.6% 14.3 3.9 10.6 37.1% 1.6 4.8 33.3% 4.9 5.4 90.1% 7.3 5.9 1.4 1.1 1.8 1.5 0.3 0.8
Chad Venning BC 15 14 24.5 9.6 14.1% 12.3 4.9 8.9 55.2% 0.0 0.3 0.0% 2.5 3.7 66.1% 4.1 2.8 1.3 0.5 2.7 1.9 1.5 0.7
Elijah Strong BC 15 15 26.1 9.7 14.3% 10.8 3.9 8.9 44.4% 1.0 2.9 34.9% 1.9 2.8 69.0% 4.9 3.1 1.9 1.1 2.7 2.1 0.4 0.4
Fred Payne BC 14 1 15.2 5.1 7.4% 6.9 2.2 5.0 44.3% 1.0 2.4 42.4% 1.4 1.6 87.0% 2.1 1.5 0.6 0.9 1.3 0.9 0.1 0.6
Dion Brown BC 15 13 23.3 6.3 9.2% 6.6 2.6 6.6 39.4% 0.6 1.8 33.3% 0.8 1.1 70.6% 3.4 1.9 1.5 1.5 2.3 0.8 0.0 0.5
Joshua Beadle BC 15 6 15.9 5.1 7.5% 6.1 2.3 4.5 50.0% 0.7 1.3 50.0% 0.9 1.5 60.9% 1.7 1.3 0.3 1.5 1.7 1.2 0.1 0.4
Roger McFarlane BC 15 1 23.1 5.6 8.2% 5.7 2.1 5.6 38.1% 0.4 1.7 23.1% 1.0 1.6 62.5% 5.2 3.7 1.5 1.0 1.1 0.7 0.2 0.8
Chas Kelley BC 15 9 20.9 4.9 7.3% 4.3 1.5 4.1 36.1% 0.8 2.5 31.6% 0.6 0.9 64.3% 1.2 1.1 0.1 2.5 1.7 1.3 0.3 0.6
Jayden Hastings BC 15 1 14.1 3.6 5.2% 3.5 1.5 3.0 48.9% 0.0 0.0 0.0% 0.6 1.0 60.0% 3.5 1.9 1.6 0.3 2.1 0.7 1.0 0.1
Luka Toews BC 11 0 8.3 2.0 2.9% 1.2 0.3 1.5 17.6% 0.2 0.5 40.0% 0.5 0.6 71.4% 0.4 0.3 0.1 1.3 1.1 0.5 0.0 0.3
Kany Tchanda BC 7 0 6.0 1.2 1.9% 0.6 0.3 1.0 28.6% 0.0 0.4 0.0% 0.0 0.0 0.0% 0.7 0.6 0.1 0.1 0.7 0.6 0.3 0.0
Will Eggemeier BC 2 0 0.5 0.0 0.0% 0.0 0.0 0.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Jack Didonna BC 1 0 1.0 0.5 0.7% 0.0 0.0 1.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Ethan Soares Rodriguez BC 1 0 1.0 0.0 0.0% 0.0 0.0 0.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0% 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

Customizable Player Stats Search

1) Choose among numerous game conditions:

  • Basketball performance can vary widely depending on the situation—home games, conference matchups, postseason contests, and more.
  • Filter your searches to see exactly how players perform under the scenarios you care about most.

2) Switch between conferences and teams:

  • Jump seamlessly between the NBA’s Eastern and Western Conferences or browse through the top college basketball conferences.
  • Drill down to a single team’s roster or compare players from multiple teams without leaving the page.

3) Sort the stats as you wish:

  • Organize player data by Points Per Game (PPG), Offensive Rating, Turnover Percentage, Usage Percentage, and much more.
  • Create customized leaderboards to reveal hidden gems or keep track of the best performers in the categories most relevant to you.

4) Access over 25 years of past seasons:

  • View historical data stretching back a quarter century to pinpoint how legends performed at their peak.
  • Investigate how trends in shooting, passing, or defense have evolved over time.

5) Toggle between multiple statistical views:

  • Switch effortlessly between possession-based stats, per-game averages, season totals, or per-minute figures.
  • Evaluate high-usage prospects using possession-based metrics or see bench contributions through per-minute data.
 Toronto 2025 All Games Possession Based Statistics
Player Usg% Floor% PPr PIE ORtg DRtg RtgD EFG% 3FGRt FTProf TS% OReb% DReb% AST% TO% A/TO BLK% STL% Stop%
RJ Barrett 29.8% 48.4% 21.3 9.2% 105.2 118.8 -13.6 51.6% 30.2% 23.8% 55.4% 3.2% 18.9% 28.6% 13.4% 1.87 1.1% 0.9% 45.4%
Scottie Barnes 27.4% 47.0% 19.5 9.7% 102.7 115.9 -13.2 51.8% 33.2% 19.1% 55.0% 5.2% 20.8% 31.0% 16.8% 1.74 1.9% 2.0% 52.5%
Gradey Dick 23.0% 44.3% 14.4 5.1% 104.8 121.6 -16.8 49.6% 49.4% 21.5% 54.6% 2.9% 9.5% 9.9% 9.9% 1.23 0.7% 1.5% 40.9%
Jakob Poeltl 18.8% 57.4% 14.3 8.5% 117.5 113.0 4.4 60.6% 0.6% 20.0% 62.5% 12.7% 24.2% 12.2% 14.7% 1.23 4.0% 1.7% 56.1%
Immanuel Quickley 27.9% 44.4% 15.6 5.4% 103.8 126.9 -23.0 41.8% 43.5% 21.2% 47.7% 0.7% 11.3% 37.9% 9.7% 4.10 0.0% 1.2% 38.8%
Ochai Agbaji 13.8% 49.4% 8.9 4.6% 114.5 119.8 -5.3 59.7% 46.5% 6.1% 60.4% 3.4% 10.9% 8.4% 8.4% 2.17 1.7% 1.3% 42.9%
Chris Boucher 22.1% 50.6% 8.4 4.1% 114.6 115.2 -0.6 53.6% 49.4% 22.8% 57.7% 8.1% 18.3% 5.8% 7.6% 0.95 3.5% 1.7% 51.4%
Ja'Kobe Walter 19.9% 43.5% 7.6 2.2% 98.5 120.9 -22.3 47.8% 48.1% 14.6% 50.3% 5.1% 10.3% 10.7% 10.8% 1.52 1.4% 1.2% 41.7%
Kelly Olynyk 20.7% 44.9% 6.9 2.9% 102.8 117.6 -14.8 53.0% 35.8% 26.9% 58.0% 7.1% 21.4% 19.4% 20.7% 1.35 1.5% 2.6% 55.3%
Davion Mitchell 13.5% 43.2% 7.5 2.6% 98.9 120.8 -21.9 48.7% 49.2% 11.8% 50.6% 1.9% 7.4% 23.9% 22.6% 2.54 0.8% 1.5% 40.7%
Jamison Battle 15.6% 48.3% 4.8 2.3% 122.8 121.7 1.1 63.0% 73.9% 8.7% 64.5% 4.9% 10.5% 10.2% 7.7% 2.50 0.9% 0.5% 37.2%
Bruce Brown 17.5% 43.4% 5.3 1.5% 92.2 128.0 -35.8 39.6% 20.8% 16.7% 43.9% 4.7% 10.1% 7.1% 7.1% 1.50 0.0% 2.1% 44.0%
Jonathan Mogbo 14.6% 52.0% 5.9 2.7% 111.2 115.5 -4.4 48.6% 16.9% 23.6% 52.9% 11.9% 16.5% 13.1% 15.5% 1.81 2.7% 2.2% 51.8%
Jamal Shead 17.5% 41.2% 5.7 1.9% 93.4 118.6 -25.2 46.2% 42.4% 7.0% 47.4% 1.7% 6.6% 30.1% 22.1% 2.38 0.8% 2.0% 42.7%
AJ Lawson 23.8% 47.1% 2.3 1.0% 114.3 137.9 -23.6 57.1% 71.4% 14.3% 57.1% 7.8% 16.8% 0.0% 0.0% 0.00 0.0% 0.0% 33.7%
Ulrich Chomche 11.2% 43.5% 0.9 0.1% 91.8 134.6 -42.8 66.7% 0.0% 0.0% 66.7% 12.0% 13.3% 7.1% 40.0% 0.50 0.0% 0.0% 32.0%
D.J. Carton 13.6% 19.9% 1.1 0.1% 43.3 115.0 -71.7 14.3% 42.9% 14.3% 20.2% 0.0% 13.3% 10.3% 35.0% 0.75 0.0% 2.8% 48.2%
Garrett Temple 11.9% 27.2% 0.8 0.3% 64.7 109.2 -44.5 25.0% 50.0% 0.0% 25.0% 2.2% 17.4% 19.4% 28.6% 1.75 1.9% 3.9% 60.6%

Player Stats on Matchups

1) Display each opponents’ player stats in an easy-to-view format:

  • Perfect for coaches preparing for the next big game or journalists breaking down a rivalry.
  • See relevant data points about each opponent’s lineup in a clean, intuitive interface.

2) Stat highlighting to focus on top performers:

  • Our new highlighting system draws attention to standout performers, struggling players, and high-usage athletes.
  • Quickly detect potential mismatches and identify emerging stars.

3) Show stats based on current game conditions:

  • Filter out unnecessary data to see only what applies to the upcoming matchup.
  • Gain an immediate understanding of how each player is performing in the exact context of your game.

About StatSharp

Since launching in September, StatSharp has been synonymous with innovative sports analytics, empowering sports handicappers, fantasy game participants, media professionals, and fans with actionable data they can trust. We continuously strive to expand and refine our platform, ensuring that basketball enthusiasts from every corner of the world have the tools they need to make informed decisions.