Men's CBB- Player Projections
College Basketball Stats Projections
Player | Team | PTS | REB | AST | 3PM | BLK | STL | TO | PRA | PR | PA | DFS | Matchup |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Ruffin | JKST | 27.9 | 2.5 | 6.7 | 2.0 | 0.3 | 1.8 | 2.9 | 37.1 | 30.5 | 34.6 | 48.1 | TXSO vs. JKST |
M. Williams | MONT | 21.3 | 3.9 | 4.7 | 0.8 | 0.2 | 0.8 | 4.6 | 29.9 | 25.2 | 26.0 | 39.7 | MONT vs. NAU |
N. James | MARQ | 20.4 | 3.6 | 6.2 | 2.6 | 0.5 | 1.8 | 3.0 | 30.2 | 24.0 | 26.6 | 41.6 | PROV vs. MARQ |
R. Hinton | HARV | PENN vs. HARV | |||||||||||
J. Glover-Toscano | JOES | JOES vs. VCU | |||||||||||
N. Whitlock | LEH | L-MD vs. LEH | |||||||||||
A. Anderson | ALST | AAMU vs. ALST | |||||||||||
M. James | MVSU | FAMU vs. MVSU | |||||||||||
R. Castro | GW | GW vs. GMU | |||||||||||
K. Noland | CLMB | CLMB vs. YALE | |||||||||||
J. Jones | PROV | PROV vs. MARQ | |||||||||||
I. Celiscar | YALE | CLMB vs. YALE | |||||||||||
N. Townsend | YALE | CLMB vs. YALE | |||||||||||
T. Hill | VCU | JOES vs. VCU | |||||||||||
L. Djokovic | VCU | JOES vs. VCU | |||||||||||
J. Edwards | PROV | PROV vs. MARQ | |||||||||||
S. Vaaks | PROV | PROV vs. MARQ | |||||||||||
K. Mincy | GMU | GW vs. GMU | |||||||||||
H. Alvey | LEH | L-MD vs. LEH | |||||||||||
J. Zimmerman | QUIN | MAN vs. QUIN |
Player projections may be limited due to college basketball data coverage.
College basketball stats key and definitions
PTS (points): total individual points a player scores.
REB (rebounds): total rebounds, including offensive and defensive boards.
AST (assists): total assists (direct pass before a successful shot).
3PM (3-pointers made): made three-point shots.
BLK (blocks): shots stopped by a clean block.
STL (steals): when a player cleanly takes or intercepts the ball from an opponent.
TO (turnovers): when a player loses possession of the ball.
PRA (points + rebounds + assists): points, rebounds, and assists combined as one stat.
PR (points + rebounds): points and rebounds combined as one stat.
PA (points + assists): points and assists combined as one stat.
DFS (daily fantasy score): projected standard DFS score (e.g., DraftKings, FanDuel).
How Dimers' college basketball stats projections work
Dimers’ player stats projections for college basketball provide a clear, data-backed edge for the 2025–26 season and March Madness. Covering college player stats leaders, our model updates daily, factoring in form, opponent tendencies, and lineup changes to help you make informed fantasy and betting calls.
Data sources & model input
We create our CBB player projections in-house using raw data. No recycled or aggregated sources here—just original insights you can trust, drawn from box scores, advanced metrics, and team efficiency. Each covered 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 pure projection built from up-to-date information across the NCAAMB 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.
Discover more about how Dimers data turns numbers into confident sports betting.
How to use CBB stats projections
We built our prop projections hub for bettors, DFS players, and fantasy managers seeking a robust source of college basketball player stats.
Getting started with Dimers’ player projections is simple:
Browse projections: organize by player, team, matchup, and statistical categories. You can find player names down the left-hand side or search in the text box.
Customize the table: filter by team, conference, or date. You can also sort the stats projections to appear in ascending or descending order.
Export data: download for offline analysis or integration with DFS and betting tools.
Check back daily: updates roll out across the day as news and data change.
Once you're familiar with how to navigate the data, here are some ideas for how to get the most out of our CBB player stats projections:
Build stronger lineups: spot undervalued players and high-potential matchups in daily fantasy contests.
Long-term strategy: use projections to guide NCAAMB 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: catch players set to outperform expectations.
Review historical trends: access player data for advanced metrics or scouting projects.
Matchup breakdowns: compare performance against ranked teams or specific defensive profiles.
For more help, we break down winning strategies for player props and other markets in our college basketball betting guide.
Unlock the full power of college basketball projections with Dimers Pro
Dimers sciences the data out of sports betting for all major markets in college basketball. If you’re looking for more than player stats, you can unlock unlimited picks, best bets, parlays, and more as a Dimers Pro member.
Want to skip the scroll and jump straight to the bet you’re looking for? You want our AI bet assistant—Dimebot. Ask about any game in college hoops and get data-science betting insights in seconds.
Unlock unlimited access to all our tools by joining Dimers Pro—starting at $9.99 a week.
Explore our full suite of data-driven college basketball betting tools
Our stats projections for NCAAMB players provide you with the categorical breakdown behind our CBB best player props for bettors and DFS managers who want to dive deeper into our player prop data. Beyond this, Dimers offers a complete toolbox for every betting style:
College basketball predictions & picks: data-backed probabilities and selections for every game.
College basketball best bets: highest-value plays out of all CBB games each day.
College basketball parlays: model-picked multi-leg bets.
College basketball player projections: the raw player stats behind our prop picks.
College basketball trends: historical patterns to inform bets on player performance.
College basketball odds: all CBB sportsbook markets on one page.
College basketball futures: March Madness men's championship predictions.
We also provide a range of betting tools for women’s college basketball:
Women’s college basketball predictions & picks: predicted and picked outcomes for every major market.
Women’s college basketball best bets: our daily shortlist of top picks.
Women’s college basketball parlays: sharpest multi-leg tickets.
Women’s college basketball futures: predictions for the women's championship in March Madness.
Women’s college basketball odds: market comparisons for all top sportsbooks markets.
Women’s college basketball news: game day updates and other coverage.
Researching your brackets for The Big Dance? Our college basketball March Madness hub is your one-stop destination for betting strategies, bracket picks, and player projections for all men’s and women’s NCAA Division I teams. Explore the top betting strategies in our March Madness prop guide.
Responsible gambling for college basketball
Dimers advocates for responsible wagering and encourages all bettors to set limits, play within their means, and only use legal sportsbooks in supported states. If you or someone close to you is experiencing gambling problems, our responsible gambling resources are here to provide support.
Anything else you'd like to know about our stats projections for men's college basketball? We're here to help—reach out now.
What are good stats to bet on in college basketball?
Good player stats to bet on can depend on the matchup context and team factors. That’s what our stats projections for college basketball are made for. We build data-rich projections for all key stats, including points, rebounds, assists, 3PM, steals, blocks, and more. For our recommended plays, our college basketball best props provides a daily list of the highest-value player bets.
What’s an average score in college basketball?
Team totals in college basketball average around 78 points scored in a game, while the average match total (all points scored by both teams) averages at 156 points.
Which college basketball players are covered?
Dimers’ college basketball stats projections focus on prominent players in the major NCAA conferences, subject to data availability.
How often are player projections updated during the NCAA season?
Our data model refreshes our stats projections multiple times a day, especially when new game data becomes available or breaking news affects a player’s status.