Denver Nuggets Team Stats 2024-25 Nuggets Team Stats

50-32, 2nd in West Northwest

DEN 126 @ HOU 111 Final

Final

The Denver Nuggets team stats page offers a detailed look at the squad’s performance across all key categories. From offensive efficiency and ball movement to defensive metrics and rebounding, this page breaks down what’s driving the Nuggets’ success. Whether you're analyzing matchups, prepping for fantasy, or looking for betting edges, these stats have you covered. For game-day updates, check out the latest Nuggets lineup page.

Home Record: 26-15 Away Record: 24-17 Conference Record: 32-20 Division Record: 8-8

Nuggets Team Stats

Team Ratings Offense Stats Defense Stats
Overall OFF RTG DEF RTG PPG ORB AST TO FGM FGA 3PA 3-PM FG% 3PT% FT% Pace PPG Allow DRB AST Allow STL BLK FG% Allow 3P% Allow FORCE TO
84
91
74
120.8
11.2
31
13.5
45.4
89.8
31.9
12
50.6
37.6
77
100.1
116.9
34.5
29
8
4.9
46.6
36.5
12.4

Nuggets Team Rankings

Team Rankings Offense Rankings Defense Rankings
Overall OFF RTG DEF RTG PPG ORB AST TO FGM FGA 3PA 3-PM FG% 3PT% FT% Pace PPG Allow DRB AST Allow STL BLK FG% Allow 3P% Allow FORCE TO
14
5
10
3
12
1
17
1
15
30
27
1
5
23
5
24
3
29
19
15
13
24
25

Nuggets Team Offensive Stats

Opponent Vegas Points Scored Shooting Rebounding Assists TO
Date Team Spread ML O/U TOT PTS Q1 PTS Q2 PTS Q3 PTS Q4 PTS FGA FGM 3PTA 3PTM 3PT% FG% DREB OREB TOT REB TOT ASS TO
12/16/24 SAC +1.5 None 0 130 0 0 0 0 102 51 28 10 35.7 50 40 15 55 38 15
12/13/24 LAC -7.5 0 0 120 0 0 0 0 77 42 29 10 34.5 54.5 41 5 46 23 21

Nuggets Team Defensive Stats

Opponent Vegas Points Allowed Shooting (Allowed) Rebounding (Allowed) AST Allow Defensive
Date Team Spread ML O/U TOT PTS Q1 PTS Q2 PTS Q3 PTS Q4 PTS FGA FGM 3PTA 3PTM 3PT% FG% DREB OREB TOT REB TOT ASS BLK STL
12/16/24 SAC -1.5 0 0 129 0 0 0 0 102 49 35 12 34.3 48 31 11 42 28 4 9
12/13/24 LAC +7.5 None 0 98 0 0 0 0 83 37 41 14 34.1 44.6 26 5 31 24 2 15

Nuggets Team Leaders

Points Per Game
D. Jordan
D. Jordan: 0
A. Gordon: 0
T. Alexander: 0
P. Hall: 0
D. Holmes II: 0
Assists Per Game
D. Jordan
D. Jordan: 0
A. Gordon: 0
R. Westbrook: 0
N. Jokić: 0
D. Šarić: 0
Rebounds Per Game
D. Jordan
D. Jordan: 0
A. Gordon: 0
T. Alexander: 0
P. Hall: 0
D. Holmes II: 0
Steals Per Game
N. Jokić
N. Jokić: 1.8
R. Westbrook: 1.4
J. Murray: 1.4
C. Braun: 1.1
P. Watson: 0.7
Blocks per Game
N. Jokić
N. Jokić: 0
R. Westbrook: 0
D. Holmes II: 0
T. Alexander: 0
S. Jones: 0

Nuggets Player Stats

NAME RTG MINS PTS AST REB STL Blk TO FG% FGM 3PTM 3PA 3P% FTM FTA FT%
Nikola Jokic
95
36.7 29.6 10.2 12.7 1.8 0.6 3.3 57.6 11.2 2 4.7 41.7 0 5.2 6.4 80
Jamal Murray
85
36.1 21.4 6 3.9 1.4 0.5 2.1 47.4 7.9 2.3 5.9 39.3 0 3.3 3.7 88.6
Christian Braun
72
33.9 15.4 2.6 5.2 1.1 0.5 1 58 6 1.1 2.8 39.7 0 2.2 2.7 82.7
Michael Porter Jr.
81
33.7 18.2 2.1 7 0.6 0.5 1.4 50.4 6.9 2.5 6.4 39.5 0 1.9 2.5 76.8
Aaron Gordon
78
28.4 14.7 3.2 4.8 0.5 0.3 1.4 53.1 5.2 1.5 3.4 43.6 0 2.8 3.5 81
Russell Westbrook
77
27.9 13.3 6.1 4.9 1.4 0.5 3.2 44.9 5 1.3 3.9 32.3 0 2.1 3.1 66.1
Peyton Watson
69
24.4 8.1 1.4 3.4 0.7 1.4 0.8 47.7 3 0.7 2 35.3 0 1.4 2 69.3
Julian Strawther
67
21.3 9 1.3 2.2 0.6 0.2 0.9 43.2 3.2 1.4 4.1 34.9 0 1.1 1.4 82.2
Jalen Pickett
67
13.6 4.1 2.2 1.4 0.4 0.1 0.5 42.8 1.6 0.8 2.1 39.6 0 0.1 0.2 75
Dario Saric
77
13.1 3.5 1.4 3.1 0.4 0.1 0.9 36.2 1.3 0.4 1.6 26.9 0 0.4 0.6 70
DeAndre Jordan
73
12.3 3.7 0.9 5.1 0.3 0.5 0.7 65 1.6 0 0 0 0 0.5 1.1 42.2
Zeke Nnaji
75
10.6 3.2 0.4 1.6 0.4 0.7 0.2 49.6 1.2 0.3 0.9 32.7 0 0.5 0.8 61.4
Vlatko Cancar
70
10.4 1.8 0.7 2.5 0.2 0.2 0.8 38.5 0.8 0.3 1.2 26.7 0 0 0 0
Hunter Tyson
67
7.8 2.6 0.4 1.5 0.2 0.1 0.3 37.5 0.9 0.5 1.5 31.1 0 0.4 0.5 75
Spencer Jones
67
6.2 1.3 0.2 0.8 0.2 0.2 0.2 32.4 0.6 0.1 0.8 5.9 0 0.1 0.1 100
Trey Alexander
67
4.9 1.3 0.5 0.5 0.1 0 0.2 31.7 0.5 0.1 0.7 17.6 0 0.1 0.2 75
PJ Hall
67
3.5 1.7 0.2 1.2 0 0.2 0.1 58.3 0.7 0.1 0.4 25 0 0.2 0.2 75
DaRon Holmes II
67
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Denver Nuggets Stats: A Data-Driven Analysis

The Denver Nuggets are at the forefront of leveraging advanced analytics to drive on-court performance and strategic decision-making. Every play, from shooting efficiencies and offensive pace to defensive metrics and turnovers, is carefully measured and analyzed. This data-centric approach provides fans, bettors, DFS players, and fantasy managers with deep insights into the Nuggets’ strengths and potential areas for improvement.

Pre-Game Lineup and Statistical Projections

Approximately 30 minutes before tip-off, the Nuggets announce their starting lineup, offering early insights into expected production in points, rebounds, and efficiency ratings. With star players like Nikola Jokić, Jamal Murray, and Michael Porter Jr. leading the charge, even subtle changes in the lineup can cause significant shifts in key metrics. Real-time updates, coupled with historical data, empower informed decisions for betting, DFS, and fantasy strategies.

Load Management and Minute Allocation Metrics

The coaching staff in Denver strategically manages player minutes to maintain peak performance over the course of a long season. Advanced metrics such as usage rate, player efficiency rating (PER), and average minutes per game help illustrate how rotations are planned to balance fatigue and productivity. These insights predict which players might get additional minutes in critical matchups, guiding smarter DFS picks and wagering strategies.

Injury Impact and Real-Time Data Adjustments

Injuries and last-minute lineup changes are rapidly incorporated into the Nuggets’ statistical models, leading to instant adjustments in metrics like effective field goal percentage (eFG%) and defensive efficiency. The depth of the roster allows quality substitutes to maintain the flow of the game, and real-time injury updates help recast statistical projections. Bettors and fantasy managers can capitalize on these prompt adjustments to uncover hidden value.

Matchup Analysis and Defensive Efficiency

Denver’s defensive performance is scrutinized through advanced stats such as opponent shooting percentages and defensive rating metrics. Detailed analyses of how the Nuggets contest the pick-and-roll, protect the paint, and pressure the ball provide granular insights into their defensive impact. This data-driven approach goes beyond traditional box scores, offering a comprehensive view of how defensive schemes influence game flow and overall success.

Rotation Depth and Bench Contribution Metrics

The Nuggets’ rotation depth is evaluated using key statistics like bench scoring averages, per-minute production, and second-unit plus-minus ratings. Coach Michael Malone’s utilization of the bench is reflected in these data points, which often highlight the contributions of role players in crucial stretches. Detailed bench analysis plays a significant role in live betting and DFS decision-making by revealing opportunities that may be overlooked in standard statistics.

Data-Backed Betting Strategies for Nuggets Games

Advanced statistical trends from Denver’s gameplay provide a robust framework for making informed betting decisions. Metrics such as pace of play, turnover ratios, and shooting efficiencies are integral to projecting point spreads and identifying value in player prop bets. By comparing current performance data with historical trends, bettors can pinpoint discrepancies that offer advantageous wagering opportunities. A data-centric approach transforms complex statistics into clear, strategic insights.

Player Performance and Positional Splits

Detailed evaluations using metrics like true shooting percentage (TS%), PER, and usage rate shed light on individual player impact in various matchups. For example, analyzing how Nikola Jokić performs against different defensive schemes can reveal his overall efficiency and playmaking potential. These quantitative measures provide an objective framework that refines prop bets and overall wagering strategies.

Trend Analysis: Scoring, Efficiency, and Game Flow

Long-term trends in scoring averages, shooting percentages, and on/off splits build a solid predictive foundation for future Nuggets performances. Integrating historical data with current metrics helps to identify patterns of consistency or regression before betting lines adjust. This detailed trend analysis offers a reliable benchmark for anticipating game flow and spotting emerging value in the betting market.

Leveraging Advanced Analytics for Outcome Prediction

Incorporating sophisticated metrics such as Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics deepens the understanding of the Nuggets’ overall performance dynamics. These continuously updated models are invaluable for both live betting and DFS decisions, converting complex data sets into actionable insights. Advanced analytics deliver the measurable edge needed to forecast both individual contributions and overall team outcomes.

Identifying Value in Bench and Role Player Contributions

While headline players attract most of the attention, the contributions of the Nuggets’ bench are crucial for a complete statistical picture. Secondary metrics, such as bench scoring averages and efficiency ratings, highlight the impact of role players in shifting game momentum. Recognizing these contributions through detailed data analysis can uncover opportunities for live betting and DFS that traditional stats may overlook.

Best Sportsbook Promotions for Nuggets Betting

To complement your data-driven betting strategy for Nuggets games, take advantage of sportsbook promotions offering risk-free bets and odds boosts. These special offers are designed to work in tandem with real-time performance metrics and lineup updates, providing additional value on your wagers. Stay tuned for dynamic promotions that adjust with updated data, maximizing your potential returns.

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Late Lineup Changes and Their Statistical Impact

Last-minute adjustments and unexpected load management decisions can significantly alter the Nuggets’ statistical projections. Advanced models rapidly update key metrics—such as offensive efficiency and points per possession—when roster changes occur. Bettors and fantasy managers can use these real-time updates to fine-tune their strategies on the fly. Accurate, data-driven responses to late-breaking news are essential for capturing emerging betting opportunities.

Data-Driven Adjustments to Moneylines and Spreads

When a pivotal player is unexpectedly sidelined, sportsbooks quickly recalibrate moneylines and point spreads based on fresh statistical insights. These adjustments capture shifts in team efficiency and overall production, opening up new wagering opportunities. Continuous, real-time data monitoring ensures that you catch these updates as soon as they occur, providing a decisive edge in your betting strategy.

Impact on Game Totals and Player Prop Projections

Changes in the starting lineup often prompt a re-evaluation of expected scoring outputs, affecting both overall game totals and individual player prop bets. Updated advanced statistics illustrate how substitutions influence the game’s pace and offensive output. Meticulous tracking of these fluctuations enables you to adjust your betting strategies on totals and props with precision. Adaptive methods, backed by detailed data, reveal opportunities even in volatile market conditions.

Capitalizing on Market Overreactions with Advanced Analytics

Occasionally, the betting market overreacts to sudden lineup changes, leading to temporary mispricing of key statistical contributions. Advanced analytics help identify these discrepancies by comparing current data with historical benchmarks. Quick, data-driven responses to such market inefficiencies can yield significant profit opportunities. Detailed trend analysis enables you to pinpoint undervalued bets before the market corrects itself.

DFS Success with a Focus on Advanced Data

Constructing winning DFS lineups for the Nuggets begins with a comprehensive analysis of advanced statistics such as usage rates, effective field goal percentage, and per-minute production. A successful DFS strategy blends star power with role players who consistently deliver high value based on key metrics. Continuous evaluation of both individual and team data is critical for building a competitive roster. Leveraging comprehensive analytics gives your DFS lineup a measurable edge.

Prioritize Players with High Usage and Efficiency Metrics

Core players like Nikola Jokić and Jamal Murray are evaluated not only on their scoring outputs but also on efficiency metrics like TS% and PER, which underscore their overall value. Building your DFS roster on proven, data-backed performances creates a robust foundation with minimal risk. Their consistent production and reliable minute allocations ensure a stable core for your lineup. An analytical approach to these performance indicators is central to DFS success.

Matchup Analysis Grounded in Quantitative Data

Evaluating opponent defensive ratings, historical head-to-head data, and other advanced metrics helps identify the most favorable matchups for DFS success. Quantitative comparisons highlight which opponents struggle against the Nuggets, guiding smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might miss, ensuring that your DFS picks are both strategic and well-founded.

Optimizing DFS with Contextual and Situational Metrics

Situational factors such as home-court advantage, back-to-back games, and travel fatigue are quantifiable and significantly impact player performance. Adjust your DFS roster based on these situational statistics to enhance overall lineup efficiency. Incorporating these variables ensures that your selections align with real-time game conditions. A data-centric approach to situational analysis offers clear insights into potential performance shifts.

Denver Nuggets Rotations and Season-Long Fantasy Insights

In season-long fantasy basketball, maintaining consistent rotations and stable minute distributions is vital for a competitive roster. Long-term trends and detailed statistical evaluations of individual performance guide drafting and roster management decisions. Monitoring minute averages alongside key efficiency metrics enables fantasy managers to anticipate fluctuations and adjust their lineups accordingly. Data-driven insights empower smarter, long-term fantasy decisions.

Assessing Rotational Stability Through Consistent Metrics

The core rotation of the Nuggets is marked by steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics from stars provides a reliable baseline for fantasy success throughout the season. These stable data points reflect the predictability of player contributions, assisting in long-term planning. Ongoing statistical monitoring is essential for understanding and forecasting rotational trends.

Evaluating Roster Depth with Advanced Bench Metrics

Beyond the starting lineup, advanced metrics such as bench scoring averages and plus-minus ratings reveal the depth of the Nuggets’ roster. These figures help identify undervalued role players who make significant contributions when given extra minutes. Monitoring bench performance, especially during injury or rest periods, offers valuable insights for fantasy management. Comprehensive data analysis of roster depth provides a competitive edge in season-long play.

Proactive Roster Management with Real-Time Data

Keeping your fantasy roster competitive requires continuous monitoring of real-time statistics, including minute fluctuations and efficiency updates. Adjusting your lineup based on the most current data allows you to capitalize on emerging opportunities before they become widely recognized. A proactive, data-driven approach ensures that your team remains optimized throughout the season. Regular updates and prompt roster adjustments based on current metrics are key to sustained fantasy success.