Cleveland Cavaliers Team Stats 2024-25 Cavaliers Team Stats

5-4, 2nd in East Central

vs IND

GMT,

The Cleveland Cavaliers team stats page gives you a complete breakdown of how the squad is performing on both ends of the court. From offensive and defensive ratings to shooting percentages and rebounding metrics, this page covers all the key numbers. Whether you're analyzing matchups, watching player trends, or prepping for fantasy, these stats provide the insight you need. For the latest game-day updates, head over to the Cavaliers lineup page.

Home Record: 2-3 Away Record: 3-1 Conference Record: 5-4 Division Record: 1-4

Cavaliers 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
95
97
88
121.9
11.2
28.1
12.5
44.5
90.8
41.5
15.9
49.1
38.3
77.6
99.4
112.4
34.2
25.6
8.2
4.3
45.4
35.9
13.5

Cavaliers 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
3
1
24
1
13
9
5
4
7
4
2
2
2
17
11
12
6
8
13
26
3
13
16

Cavaliers 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 BKN -10.5 None 0 130 0 0 0 0 81 43 47 19 40.4 53.1 30 12 42 33 17
12/13/24 WAS -16.5 0 0 115 0 0 0 0 91 36 50 15 30 39.6 34 16 50 27 11

Cavaliers 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 BKN +10.5 0 0 101 0 0 0 0 81 34 34 14 41.2 42 26 9 35 25 6 14
12/13/24 WAS +16.5 None 0 105 0 0 0 0 86 41 40 14 35 47.7 38 6 44 24 5 10

Cavaliers Team Leaders

Points Per Game
T. Thompson
T. Thompson: 0
J. Allen: 0
J. Tyson: 0
C. Porter Jr.: 0
E. Bates: 0
Assists Per Game
T. Thompson
T. Thompson: 0
J. Allen: 0
D. Mitchell: 0
J. Green: 0
D. Hunter: 0
Rebounds Per Game
T. Thompson
T. Thompson: 0
J. Allen: 0
J. Tyson: 0
C. Porter Jr.: 0
E. Bates: 0
Steals Per Game
D. Mitchell
D. Mitchell: 1.3
D. Garland: 1.2
T. Jerome: 1.1
J. Green: 1
E. Mobley: 0.9
Blocks per Game
D. Mitchell
D. Mitchell: 0
D. Garland: 0
E. Bates: 0
L. Travers: 0
T. Thompson: 0

Cavaliers Player Stats

NAME RTG MINS PTS AST REB STL Blk TO FG% FGM 3PTM 3PA 3P% FTM FTA FT%
Donovan Mitchell
87
31.4 24 5 4.5 1.3 0.2 2.1 44.3 8.2 3.3 8.9 36.8 0 4.2 5.1 82.3
Darius Garland
88
30.7 20.6 6.7 2.9 1.2 0.1 2.5 47.2 7.4 2.8 7.1 40.1 0 3 3.4 87.8
Evan Mobley
85
30.5 18.5 3.2 9.3 0.9 1.6 2 55.7 7.1 1.2 3.2 37 0 3.1 4.3 72.5
Jarrett Allen
84
28 13.5 1.9 9.7 0.9 0.9 1.2 70.6 5.5 0 0.1 0 0 2.4 3.4 71.8
De'Andre Hunter
77
27.2 17 1.4 4 0.8 0.2 1.3 47 5.6 2.5 6.1 40.5 0 3.4 4 84.6
Max Strus
77
25.4 9.4 3.2 4.3 0.5 0.2 1.1 44.2 3.3 2.3 5.9 38.6 0 0.6 0.7 82.4
Chuma Okeke
74
21.8 5.9 1.7 5.2 0.6 0.4 0.3 50 2.2 1.2 3.1 39.3 0 0.2 0.3 66.7
Dean Wade
68
21.2 5.4 1.3 4.2 0.7 0.3 0.4 41.3 1.9 1.4 3.8 36 0 0.3 0.5 53.3
Ty Jerome
71
19.9 12.5 3.4 2.5 1.1 0 1.3 51.6 4.6 1.6 3.6 43.9 0 1.8 2.1 87.2
Sam Merrill
74
19.7 7.2 1.5 2.2 0.7 0.2 0.5 40.6 2.4 1.9 5.2 37.2 0 0.4 0.4 96.6
Isaac Okoro
74
19.1 6.1 1.2 2.4 0.6 0.3 0.4 46.4 2.3 1 2.7 37.1 0 0.6 0.8 71.7
Javonte Green
75
18.5 5.1 0.8 3.2 1 0.5 0.5 42.9 1.8 0.7 2.1 32.6 0 0.8 1.1 72.4
Nae'Qwan Tomlin
67
12.6 7.2 0.4 4.2 0 0.2 0.4 40.6 2.6 0.4 2 20 0 1.6 2.2 72.7
Craig Porter Jr.
67
10.1 3.7 1.4 1.3 0.3 0.3 0.7 51.4 1.4 0.4 0.9 43.8 0 0.5 0.6 71.9
Jaylon Tyson
67
9.6 3.6 0.9 2 0.3 0.1 0.6 43 1.4 0.4 1.2 34.5 0 0.4 0.5 79.2
Tristan Thompson
75
8.2 1.7 0.6 3.4 0.1 0.3 0.3 43.7 0.8 0 0.1 0 0 0.2 0.8 23.3
Emoni Bates
67
7.4 3.7 0.8 0.7 0.1 0.1 0.2 34.2 1.3 1.1 3 36.7 0 0 0 0
Luke Travers
67
7.2 1 0.7 1.7 0.1 0.1 0.7 25 0.4 0 0.8 0 0 0.2 0.2 100

Cleveland Cavaliers Stats: A Data-Driven Analysis

The Cleveland Cavaliers have redefined their game with a focus on advanced analytics, blending modern strategies with a renewed commitment to efficiency. Every facet of their performance—from shooting percentages to defensive metrics—is meticulously tracked, providing fans, bettors, fantasy managers, and DFS players with deep insights into their on-court impact. Detailed data analysis is key to understanding how the Cavs execute and evolve.

Pre-Game Projections and Lineup Insights

Typically released about 30 minutes before tip-off, the Cavaliers’ starting lineup gives an early look at expected production in points, rebounds, and efficiency ratings. Core players such as Darius Garland, Caris LeVert, and Jarrett Allen contribute significantly to the team’s statistical profile. Real-time updates and pre-game projections, when matched with historical performance data, offer an analytical edge for making informed betting and DFS decisions.

Load Management and Minute Allocation Metrics

Effective minute management is a critical part of Cleveland’s strategy, especially during grueling stretches of the season. Advanced metrics like usage rate, player efficiency rating (PER), and average minutes per game illustrate how the team manages rest and optimizes player output. By analyzing these numbers, you can predict which players will see increased court time and statistical production, informing smarter wagering and fantasy lineup adjustments.

Injury Impact and Real-Time Data Adjustments

Injuries and last-minute lineup changes are quickly integrated into the Cavs’ statistical models, adjusting key metrics such as effective field goal percentage (eFG%) and defensive efficiency. With a deep roster at their disposal, the Cavaliers can compensate for absences and maintain competitive performance. Real-time injury updates combined with recalibrated projections help bettors and fantasy managers identify hidden value when substitutes step in.

Matchup Analysis and Defensive Efficiency

Cleveland’s defensive strategy is measurable through advanced metrics like opponent shooting percentages, defensive rating, and on-ball pressure. Detailed matchup analyses—such as how effectively the Cavs contest pick-and-roll plays—offer a granular view of their defensive impact. These data-driven insights go beyond conventional box scores, helping to predict game flow and individual performance.

Rotation Depth and Bench Contribution Metrics

The depth of the Cavaliers’ rotation is evaluated using stats such as bench scoring averages, per-minute output, and second-unit plus-minus ratings. Coach J.B. Bickerstaff’s utilization of the bench is reflected in these numbers, which often influence game momentum and overall team efficiency. Detailed data on bench contributions is vital for both live betting and DFS strategies, as it highlights opportunities that might be overlooked by traditional statistics.

Data-Backed Betting Strategies for Cavaliers Games

Advanced statistical trends from the Cavaliers’ game plan reveal numerous opportunities for smart betting. Metrics such as pace of play, turnover ratios, and shooting efficiencies provide the foundation for projecting points spreads and identifying value in player prop bets. By comparing current performance with historical data, bettors can pinpoint discrepancies before the market adjusts. A data-centric approach turns complex statistics into a clear, strategic advantage.

Player Performance and Positional Splits

Detailed evaluations using metrics like true shooting percentage (TS%), PER, and usage rates shed light on the contributions of key players in varying matchups. For example, analyzing how Darius Garland performs against elite defensive units can indicate his scoring potential and overall impact. These quantitative measures create an objective framework for identifying advantageous matchups and refining prop bet selections. Data-supported comparisons lead to smarter wagering decisions.

Trend Analysis: Scoring, Efficiency, and Game Flow

Reviewing long-term trends in scoring averages, shooting percentages, and on/off splits builds a solid foundation for anticipating future outcomes. The integration of historical data with current performance trends serves as a reliable benchmark for evaluating the Cavaliers’ progression. This analytical process highlights patterns of consistency or change that are essential for pinpointing value before betting lines shift.

Leveraging Advanced Analytics for Outcome Prediction

Incorporating sophisticated metrics such as Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics provides a deeper understanding of the Cavaliers’ performance dynamics. These continuously updating models are invaluable for real-time betting and DFS decisions. Advanced analytics convert raw data into actionable insights, offering a competitive edge by forecasting outcomes with remarkable precision.

Identifying Value in Bench and Role Player Contributions

While star players draw the most attention, the contributions of bench players are crucial for a complete statistical picture of the Cavaliers. Metrics such as bench scoring averages and efficiency ratings illuminate how role players impact game momentum and overall performance. Recognizing these contributions can expose opportunities for live betting and DFS, revealing value that may be missed by conventional statistics.

Best Sportsbook Promotions for Cavaliers Betting

To complement a data-driven betting strategy for Cavaliers games, take advantage of sportsbook promotions offering risk-free bets and odds boosts. These promotions are designed to align with real-time performance metrics and lineup updates, adding extra value to your wagers. Monitor special offers that adjust with the latest data, and leverage them to maximize your returns.

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Late Lineup Changes and Their Statistical Impact

Last-minute adjustments and unexpected load management decisions can significantly affect the Cavaliers’ statistical projections. Advanced models quickly recalculate key metrics—such as offensive efficiency and points per possession—when lineup changes occur. Bettors and fantasy managers can use these real-time updates to modify their strategies dynamically. A rapid, data-driven response to late-breaking news is crucial for capturing emerging opportunities.

Data-Driven Adjustments to Moneylines and Spreads

When a key player is unexpectedly ruled out, sportsbooks update moneylines and point spreads based on fresh statistical insights. These recalibrations reflect shifts in team efficiency and production, creating new betting opportunities. Staying on top of these changes through continuous data monitoring ensures you’re acting on the most current information. Real-time analytics provide the necessary clarity for successful wagering.

Impact on Game Totals and Player Prop Projections

Changes in the starting lineup often lead to a re-evaluation of expected scoring totals, affecting both overall game totals and individual player prop bets. Updated metrics demonstrate how substitutions impact the pace and offensive output of the team. By tracking these fluctuations, you can fine-tune your betting strategies on totals and props with precision. Adaptive methods based on detailed data reveal value even in rapidly shifting market conditions.

Capitalizing on Market Overreactions Using Analytics

Occasionally, the betting market overreacts to sudden lineup changes, leading to temporary mispricing of key contributions. Advanced analytics help identify these discrepancies by comparing updated data with historical norms. Swift, data-driven responses to these market inefficiencies can generate substantial profit opportunities. Detailed trend analysis enables you to pinpoint undervalued bets before the market corrects itself.

DFS Success with a Focus on Advanced Data

Building winning DFS lineups for the Cavaliers starts with a comprehensive analysis of advanced statistics, such as usage rates, effective field goal percentage, and per-minute contributions. A successful DFS strategy combines star power with role players whose high-efficiency metrics ensure consistent value. Continuous evaluation of both individual and team data is essential for constructing a competitive roster. Leveraging comprehensive data provides a decisive edge in daily fantasy contests.

Prioritize Players with High Usage and Efficiency Metrics

Core Cavaliers players, like Garland and LeVert, are appraised not only by their scoring totals but also by efficiency metrics like TS% and PER, which underscore their overall value. Relying on players with proven statistical track records establishes a solid DFS foundation. Their consistent production and predictable minute allocations minimize risk while maximizing potential returns. An analytical approach to performance metrics is central to DFS success.

Matchup Analysis Grounded in Quantitative Data

Evaluating opponent defensive ratings, historical head-to-head statistics, and other advanced metrics can identify the most favorable matchups for DFS. Using data-driven comparisons to assess which teams struggle against the Cavaliers informs smarter player selections. Thorough statistical analysis reveals opportunities that may be missed with traditional evaluation. A numbers-focused strategy ensures that your DFS picks are both strategic and well-supported.

Optimizing DFS with Contextual and Situational Metrics

Situational factors such as home-court advantage, back-to-back game scenarios, and travel fatigue are quantifiable and have a significant impact on player performance. Adjusting your DFS roster based on these contextual statistics refines your lineup efficiency. Incorporating situational data ensures your selections reflect the conditions of each game. A data-centric approach to these variables provides clear insights into likely performance shifts.

Cleveland Cavaliers Rotations and Season-Long Fantasy Insights

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

Assessing Rotational Stability Through Consistent Metrics

The Cavaliers’ core rotation is underscored by steady usage rates and consistent efficiency statistics from key players. Regular tracking of performance metrics from stars provides a reliable baseline for fantasy success. These stable data points reflect the predictability of player contributions throughout the season. Continuous monitoring is essential to understanding and forecasting rotational trends.

Evaluating Roster Depth with Advanced Bench Metrics

Detailed bench statistics—such as scoring averages and plus-minus ratings—shed light on the overall depth of the Cavaliers’ roster. These metrics help identify undervalued role players who can significantly boost fantasy value when given additional minutes. Monitoring bench performance is especially crucial during injury stints or lineup adjustments. Thorough data analysis of roster depth offers a competitive edge in season-long fantasy play.

Proactive Roster Management with Real-Time Data

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