Los Angeles Clippers Team Stats 2024-25 Clippers Team Stats
3-4, 2nd in West Pacific
LAC 101 @ DEN 120 Final
Final
The Los Angeles Clippers team stats page provides a full breakdown of how the squad is performing across all major statistical categories. From scoring efficiency and defensive ratings to rebounding and pace, this page gives you the numbers that define the Clippers’ season. Whether you’re digging into fantasy insights, betting matchups, or team analysis, these stats deliver the details you need. For daily lineup info, visit the latest Clippers lineup page.
Clippers 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 | ||
| 90 | 89 | 91 | 112.9 | 10.3 | 25.2 | 13.8 | 41.6 | 86.3 | 33.4 | 12.5 | 48.2 | 37.3 | 79.7 | 97.2 | 108.2 | 33.5 | 25.7 | 9.4 | 4.5 | 46.1 | 35 | 14.4 | ||
Clippers 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 | ||
| 4 | 9 | 26 | 20 | 23 | 24 | 19 | 16 | 27 | 29 | 25 | 6 | 7 | 7 | 20 | 4 | 10 | 9 | 3 | 23 | 8 | 5 | 8 | ||
Clippers Team Offensive Stats
| Opponent | Vegas | Points Scored | Shooting | Rebounding | Assists | TO | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | |
| 12/16/24 | UTA | -7.5 | 0 | 0 | 144 | 0 | 0 | 0 | 0 | 82 | 49 | 39 | 21 | 53.8 | 59.8 | 34 | 7 | 41 | 28 | 14 |
| 12/13/24 | DEN | +7.5 | None | 0 | 98 | 0 | 0 | 0 | 0 | 83 | 37 | 41 | 14 | 34.1 | 44.6 | 26 | 5 | 31 | 24 | 19 |
Clippers Team Defensive Stats
| Opponent | Vegas | Points Allowed | Shooting (Allowed) | Rebounding (Allowed) | AST Allow | Defensive | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | | |
| 12/16/24 | UTA | +7.5 | None | 0 | 107 | 0 | 0 | 0 | 0 | 80 | 36 | 39 | 13 | 33.3 | 45 | 25 | 10 | 35 | 22 | 6 | 13 |
| 12/13/24 | DEN | -7.5 | 0 | 0 | 120 | 0 | 0 | 0 | 0 | 77 | 42 | 29 | 10 | 34.5 | 54.5 | 41 | 5 | 46 | 23 | 2 | 18 |
Clippers Team Leaders
Points Per Game
Assists Per Game
Rebounds Per Game
Steals Per Game
Blocks per Game
Clippers Player Stats
| | | | | | | | | | | | | | | | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 88 | 35.3 | 22.8 | 8.7 | 5.8 | 1.5 | 0.7 | 4.3 | 41 | 6.7 | 3 | 8.5 | 35.2 0 | 6.4 | 7.3 | 87.4 |
| | 76 | 32.8 | 16.8 | 2.7 | 12.6 | 0.7 | 1.1 | 1.6 | 62.8 | 7.4 | 0 | 0 | 0 0 | 1.9 | 3 | 66.1 |
| | 79 | 32.6 | 21.8 | 2.1 | 3.2 | 1.2 | 0.1 | 1.8 | 48.4 | 7.6 | 3 | 7.1 | 41.8 0 | 3.5 | 4.4 | 80.4 |
| | 95 | 31.9 | 21.5 | 3.1 | 5.9 | 1.6 | 0.5 | 1.9 | 49.8 | 8.4 | 2.1 | 5.1 | 41.1 0 | 2.6 | 3.3 | 81 |
| | 81 | 24.9 | 10.8 | 2.7 | 2.9 | 0.8 | 0.2 | 1.4 | 42.7 | 3.9 | 1.9 | 5.4 | 36.3 0 | 1.1 | 1.2 | 87.9 |
| | 73 | 24.3 | 10.1 | 0.8 | 3.4 | 1 | 0.4 | 0.9 | 52.6 | 4 | 1 | 2.8 | 35.6 0 | 1.1 | 1.5 | 70.3 |
| | 67 | 24.3 | 9.7 | 1.1 | 2.2 | 0.6 | 0.1 | 0.6 | 47.1 | 3.3 | 1.4 | 3.4 | 40.9 0 | 1.6 | 1.8 | 89.1 |
| | 75 | 24.1 | 6.4 | 2.8 | 3.4 | 1.7 | 0.4 | 1 | 43.9 | 2.6 | 1 | 3 | 33.5 0 | 0.2 | 0.3 | 68.2 |
| | 84 | 21.9 | 5 | 5.6 | 4.7 | 0.7 | 0.5 | 2 | 52 | 2.3 | 0 | 0 | 0 0 | 0.5 | 0.6 | 72.7 |
| | 77 | 17.5 | 4 | 1.1 | 2.8 | 0.7 | 0.5 | 0.4 | 43.7 | 1.3 | 1.1 | 2.6 | 43.3 0 | 0.2 | 0.3 | 81 |
| | 74 | 12.4 | 4.7 | 0.9 | 3.8 | 0.2 | 0.7 | 0.7 | 59.3 | 1.9 | 0.1 | 0.1 | 50 0 | 0.8 | 1.2 | 66.2 |
| | 67 | 11.4 | 4.1 | 0.9 | 1.6 | 0.5 | 0.1 | 0.7 | 43.3 | 1.6 | 0.2 | 1 | 21.1 0 | 0.8 | 0.9 | 80 |
| | 71 | 11 | 3.8 | 0.9 | 0.8 | 0.4 | 0.1 | 0.6 | 37.5 | 1.2 | 0.9 | 2.6 | 34.7 0 | 0.4 | 0.5 | 92.9 |
| | 67 | 6.8 | 1.9 | 0.6 | 1.6 | 0.2 | 0.1 | 0.3 | 45.8 | 0.8 | 0.1 | 0.7 | 23.1 0 | 0.1 | 0.2 | 71.4 |
| | 67 | 4.5 | 1.4 | 0.5 | 0.9 | 0.4 | 0.1 | 0.2 | 29.2 | 0.5 | 0.2 | 1 | 15.4 0 | 0.2 | 0.3 | 50 |
| | 69 | 4.4 | 2.2 | 0.1 | 1 | 0.1 | 0.1 | 0.2 | 54.3 | 0.8 | 0.5 | 1 | 56.5 0 | 0.1 | 0.2 | 50 |
| | 67 | 4.3 | 1.8 | 0 | 0.7 | 0 | 0 | 0.2 | 36.4 | 0.7 | 0 | 0.3 | 0 0 | 0.5 | 0.5 | 100 |
| | 67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | 0 | 0 | 0 |
Contents
- Los Angeles Clippers Team Stats 2024-25
- Clippers Team Stats
- Clippers Team Rankings
- Clippers Team Offensive Stats
- Clippers Team Defensive Stats
- Clippers Team Leaders
- Clippers Player Stats
- Los Angeles Clippers Stats: A Data-Driven Analysis
- Pre-Game Lineup and Statistical Projections
- Load Management and Minute Allocation Metrics
- Injury Impact and Real-Time Data Adjustments
- Matchup Analysis and Defensive Efficiency
- Rotation Depth and Bench Contribution Metrics
- Data-Backed Betting Strategies for Clippers Games
- Player Performance and Positional Splits
- Trend Analysis: Scoring, Efficiency, and Game Flow
- Leveraging Advanced Analytics for Outcome Prediction
- Identifying Value in Bench and Role Player Contributions
- Best Sportsbook Promotions for Clippers Betting
- Late Lineup Changes and Their Statistical Impact
- Data-Driven Adjustments to Moneylines and Spreads
- Impact on Game Totals and Player Prop Projections
- Capitalizing on Market Overreactions with Advanced Analytics
- DFS Success with a Focus on Advanced Data
- Prioritize Players with High Usage and Efficiency Metrics
- Matchup Analysis Grounded in Quantitative Data
- Optimizing DFS with Contextual and Situational Metrics
- OKC Thunder Rotations and Season-Long Fantasy Insights
- Assessing Rotational Stability Through Consistent Metrics
- Evaluating Roster Depth with Advanced Bench Metrics
- Proactive Roster Management with Real-Time Data
Los Angeles Clippers Stats: A Data-Driven Analysis
The Los Angeles Clippers are harnessing advanced analytics to refine their gameplay and maximize their on-court impact. Every aspect of their performance—from shooting efficiencies and pace of play to defensive metrics and turnovers—is meticulously tracked. This data-centric approach gives fans, bettors, DFS players, and fantasy managers deep insights into the Clippers’ strategy and execution.
Pre-Game Lineup and Statistical Projections
Typically announced about 30 minutes before tip-off, the Clippers’ starting lineup offers early insights into expected production, including points, rebounds, and efficiency ratings. With key players such as Kawhi Leonard, Paul George, and Marcus Morris Sr. leading the charge, even minor adjustments in the roster can produce significant shifts in advanced metrics. Real-time updates paired with historical trends provide a strong basis for making informed betting and DFS decisions.
Load Management and Minute Allocation Metrics
Effective minute management is crucial for the Clippers to maintain peak performance over a long season. Advanced metrics such as usage rate, player efficiency rating (PER), and average minutes per game reveal how the coaching staff strategically allocates playing time. These insights help predict which players might see increased minutes in critical matchups, aiding in smarter wagering and DFS lineup adjustments.
Injury Impact and Real-Time Data Adjustments
Injuries and last-minute lineup changes are quickly integrated into the Clippers’ statistical models, leading to immediate adjustments in key metrics like effective field goal percentage (eFG%) and defensive efficiency. The depth of the roster allows quality substitutes to step in, and real-time injury updates ensure that projections stay current. Bettors and fantasy managers can leverage these timely recalibrations to spot hidden value when key players are sidelined.
Matchup Analysis and Defensive Efficiency
Los Angeles’s defensive performance is quantified with advanced statistics such as opponent shooting percentages and overall defensive ratings. Detailed analysis of how the Clippers contest on-ball screens, protect the perimeter, and disrupt offensive schemes offers a granular view of their defensive impact. This data-driven approach provides actionable insights that go beyond traditional box scores, enhancing predictions of both team and individual performance.
Rotation Depth and Bench Contribution Metrics
The depth of the Clippers’ rotation is evaluated using key metrics like bench scoring averages, per-minute output, and second-unit plus-minus ratings. Coaching decisions regarding bench utilization are reflected in these numbers, highlighting the role players’ contributions to overall game momentum. Detailed bench analysis is essential for live betting and DFS strategies, revealing opportunities that may not be visible through conventional statistics.
Data-Backed Betting Strategies for Clippers Games
Leveraging advanced statistical trends from the Clippers’ gameplay provides a robust framework for informed betting decisions. Metrics such as pace of play, turnover ratios, and shooting efficiencies are integral in projecting point spreads and identifying value in player prop bets. By comparing current performance with historical data, bettors can uncover discrepancies that signal favorable wagering opportunities.
Player Performance and Positional Splits
Detailed evaluations using metrics like true shooting percentage (TS%), PER, and usage rate reveal the contributions of key Clippers players in various matchups. For example, analyzing Kawhi Leonard’s performance against top defensive teams can provide insights into his overall efficiency and scoring potential. These objective, data-driven measures create a solid framework for refining 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 form a reliable predictive foundation for the Clippers’ future performances. Integrating historical data with current metrics highlights patterns of consistency, improvement, or regression before betting lines adjust. This detailed trend analysis offers a dependable benchmark for anticipating game flow and spotting emerging betting value.
Leveraging Advanced Analytics for Outcome Prediction
Incorporating sophisticated metrics such as Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics deepens the analysis of the Clippers’ overall performance dynamics. These continuously updated models are invaluable for real-time betting and DFS decisions, converting complex data into actionable insights. Advanced analytics give you the measurable edge needed to forecast both individual contributions and team outcomes with precision.
Identifying Value in Bench and Role Player Contributions
While star players often draw the most attention, the statistical impact of the Clippers’ bench is equally important. Secondary metrics such as bench scoring averages and efficiency ratings reveal the often-underappreciated contributions of role players. Recognizing these numbers through detailed data analysis can uncover opportunities for live betting and DFS strategies that might be missed by traditional statistics.
Best Sportsbook Promotions for Clippers Betting
To complement your data-driven betting strategy for Clippers 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 for your wagers. Monitoring these dynamic promotions can further optimize your betting returns as updated analytics are released.
- DraftKings Promo Code: Odds boosts, risk-free bets, and NBA-specific promos like same-game parlays.
- BetMGM Bonus Code: Risk-free bets, parlay insurance, and NBA-specific deposit match bonuses.
- Fanatics Sportsbook Promo: Enhanced NBA odds, player performance boosts, and exclusive bet offers.
- bet365 Bonus Code: NBA bet insurance, profit boosts, and tailored NBA betting promotions.
- Caesars Sportsbook Promo Code: First-bet insurance, NBA parlay bonuses, and boosted odds on featured matchups.
- BetRivers Bonus Code: Deposit match offers, profit boosts, and risk-free bets targeted to NBA betting.
- FanDuel Promo Code: No-sweat first bets, ongoing NBA promotions, and special odds boosts.
Late Lineup Changes and Their Statistical Impact
Last-minute adjustments and unexpected load management decisions can significantly alter the Clippers’ statistical projections. Advanced models rapidly update key metrics—such as offensive efficiency and points per possession—when lineup changes occur. Bettors and fantasy managers can leverage these real-time updates to fine-tune their strategies on the fly. Swift, data-driven responses to late-breaking news are crucial for capturing emerging betting opportunities.
Data-Driven Adjustments to Moneylines and Spreads
When a key player is unexpectedly sidelined, sportsbooks recalibrate moneylines and point spreads based on the latest statistical insights. These adjustments capture shifts in team efficiency and overall production, opening up new wagering opportunities. Continuous, real-time monitoring ensures that you catch these updates as they occur, enabling you to make precise betting decisions.
Impact on Game Totals and Player Prop Projections
Changes in the starting lineup often prompt a re-evaluation of expected scoring outcomes, which influences both overall game totals and individual player prop bets. Updated advanced statistics illustrate how substitutions affect the game’s pace and offensive output. Meticulous tracking of these fluctuations allows for fine-tuned adjustments to your betting strategy on totals and props, revealing value even in volatile market conditions.
Capitalizing on Market Overreactions with Advanced Analytics
Occasionally, the betting market overreacts to sudden lineup changes, resulting in temporary mispricing of key statistical contributions. Advanced analytics help pinpoint these discrepancies by comparing current data with historical benchmarks. Swift, data-driven responses to such market inefficiencies can yield significant profit opportunities. Detailed trend analysis enables you to identify undervalued bets before the market corrects itself.
DFS Success with a Focus on Advanced Data
Constructing winning DFS lineups for the Clippers starts with an in-depth 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 efficiency 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 Clippers players, notably those like Kawhi Leonard, are evaluated not only on their scoring outputs but also on efficiency metrics such as TS% and PER, which underscore their overall impact. Building your DFS roster on proven, data-backed performers creates a strong, reliable foundation with minimal risk. Their consistent production and predictable playing time provide a solid core for your lineup. An analytical approach to these performance indicators is key to DFS success.
Matchup Analysis Grounded in Quantitative Data
Evaluating opponent defensive ratings, historical head-to-head statistics, and other advanced metrics helps identify the most favorable matchups for DFS success. Quantitative comparisons reveal which teams struggle defensively against the Clippers, guiding smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might overlook, ensuring your DFS picks are both strategic and robust.
Optimizing DFS with Contextual and Situational Metrics
Contextual factors such as home-court advantage, back-to-back game scenarios, and travel fatigue are quantifiable and have a significant effect on player performance. Adjust your DFS roster based on these situational statistics to optimize 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.
OKC Thunder Rotations and Season-Long Fantasy Insights
In season-long fantasy basketball, consistent rotations and stable minute distributions are crucial for building a competitive roster. Long-term trends and detailed evaluations of individual performance provide essential guidance for drafting and roster management. Monitoring minute averages alongside key efficiency metrics allows fantasy managers to anticipate fluctuations and adjust their lineups accordingly. Data-driven insights empower smarter, long-term fantasy strategies.
Assessing Rotational Stability Through Consistent Metrics
The core rotation of the Thunder is reflected in steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics provides a dependable baseline for long-term fantasy success, highlighting predictable contributions throughout the season. 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 overall depth of the Thunder’s roster. These statistics identify undervalued role players who can significantly contribute when given additional minutes. Monitoring bench performance, especially during injury or rest periods, offers valuable insights for fantasy management. Comprehensive data analysis on roster depth provides a competitive edge in season-long play.
Proactive Roster Management with Real-Time Data
Maintaining a competitive fantasy roster requires constant 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 critical for sustained fantasy success.