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College Basketball Player Projections

Our daily college basketball player projections give you an edge in DFSbetting and fantasy. Driven by real-time data, our model analyzes trends, minutes and matchups to deliver reliable, precise college basketball player stat projections today.

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Projections for . Last update: .
Player
Team
PTS
REB
AST
3PM
BLK
STL
TO
PRA
PR
PA
DFS
Matchup
M. Collins
USU
18.5
3.4
2.2
2.4
0.2
0.5
2.1
24.1
21.9
20.7
29.6
USU vs. USF
M. Falslev
USU
17.6
7.3
2.5
1.5
0.3
2.6
3.1
27.5
25.0
20.2
39.1
USU vs. USF
J. Omojafo
USF
15.5
5.2
2.3
1.1
0.4
1.1
1.6
23.0
20.7
17.8
29.6
USU vs. USF
C. Brown
USF
USU vs. USF
W. Enis
USF
USU vs. USF
I. Nelson
USF
USU vs. USF
S. Brown
DAV
CIT vs. DAV
N. Chitikoudis
RMU
RMU vs. GB
G. Clark
USU
USU vs. USF
B. Williams
CIT
CIT vs. DAV
J. Pinion
USF
USU vs. USF
N. Coval
DAV
CIT vs. DAV
C. Moore
CIT
CIT vs. DAV
K. Templin
USU
USU vs. USF
J. Scovens
DAV
CIT vs. DAV
T. Dorset
MRMK
RID vs. MRMK
D. Goode
RMU
RMU vs. GB
D. Brown
DAV
CIT vs. DAV
K. King
USU
USU vs. USF
P. Friedrichsen
DAV
CIT vs. DAV

Player projections may be limited due to college basketball data coverage.

How Our College Basketball Projections Work

Dimers’ projections for college basketball players give you a clear, data-backed edge for the 2025–26 season. Covering every major team and conference, our model updates throughout the day, factoring in form, opponent tendencies, and lineup changes to help you make informed fantasy and betting calls.

Our projections turn raw data into straightforward insights, helping you understand where value and opportunity exist before tip-off.

Data Sources & Model Factors

The model draws from box scores, advanced metrics, and team efficiency data. Each player’s historical output, pace of play, and opponent context are integrated into a machine-learning system designed specifically for college basketball. The result is a transparent projection built from accurate, up-to-date information across the NCAA landscape.

Position & Matchup Adjustments

Defensive schemes and talent levels vary widely in college hoops. Dimers’ model weighs defense-versus-position performance for each opponent, revealing when a player is primed to excel against weaker coverage or may face tougher conditions against elite defenses. These matchup layers add depth beyond surface-level stats.

Injury & Roster Changes

Lineups in college basketball can shift fast—injuries, suspensions, and eligibility updates can all reshape a team’s rotation. Dimers tracks verified sources to keep player minutes, usage rates, and projections current, so your decisions stay based on the latest, most reliable data.

What's Included in Our CBB Player Projections?

Our sortable projections table makes it easy to find actionable stats for any player, team, or conference:

  • Points: Estimated scoring output based on efficiency, usage, and matchup.
  • Rebounds: Projected totals influenced by pace and team rebound rates.
  • Assists: Distribution potential informed by offensive structure and trends.
  • Other Stats: Steals, blocks, and turnovers are vital for DFS and prop bettors.

Use Cases for College Basketball Projections

DFS and Fantasy

  • Build Stronger Lineups: Identify undervalued players and high-ceiling matchups in daily fantasy contests.
  • Long-Term Strategy: Use projections to guide NCAA fantasy roster moves across the season.
  • Player Props and Parlays: Find edges when usage, pace, or matchup data point toward performance swings.
  • Over/Under Efficiency: Analyze tempo and team style to anticipate statistical outcomes.
  • Hidden Value: Uncover mid-major players poised to outperform expectations.

Research and Analysis

  • Historical Trends: Access player data for advanced metrics or scouting projects.
  • Matchup Breakdowns: Compare performance against ranked teams or specific defensive profiles.

Our Coverage and Updates

Dimers covers the major NCAA conferences—ACC, Big Ten, Big 12, SEC, Pac-12, and select mid-majors. Projections update multiple times daily, with a particular focus on pre-tip-off accuracy as new lineup information and results come in. Every update reflects the latest data so you can stay one step ahead.

Why Dimers’ CBB Player Projections Stand Out

Built In-House

Our projections are created from raw data using proprietary logic built for college basketball. No recycled or aggregated sources—just original insights you can trust.

Consistently Updated

The machine-learning engine recalibrates with new performances throughout the season, keeping projections aligned with team form and market trends. The more the season evolves, the sharper our data gets.

Get Started with College Basketball Player Projections

  1. Browse Projections: View projected points, rebounds, assists, and more.
  2. Customize the Table: Filter by team, conference, or date.
  3. Export Data: Download for offline analysis or integration with DFS and betting tools.
  4. Check Back Daily: Updates roll out across the day as news and data change.

Responsible Gambling

Dimers supports responsible and balanced betting habits. Set deposit and stake limits, manage your bankroll, and recognize when to take a break. If you or someone close to you needs help, visit our responsible gambling resources for confidential support. Enjoy the game, stay informed, and always bet within your means.

FAQ
Your Questions Answered

Do you have more questions about our CBB player projections? Our team is here to help -reach out today.

Which college basketball teams or conferences are covered?

How often are player projections updated during the NCAA season?

Can I download college basketball player data for my own analysis?

Do you provide projections for smaller conferences or just major programs?