Detroit Piston Team Stats 2024-25 Pistons Team Stats
1-2, 3rd in East Central
vs NY
5:00 pm GMT, 4/27
The Detroit Pistons team stats page gives you a full view of the team's performance across all major statistical categories. From shooting efficiency and assist rates to defensive numbers and rebounding stats, this page helps you understand how the Pistons are competing each night. Whether you're tracking player development, exploring matchup data, or managing a fantasy team, these stats provide the insights you need. For daily lineup updates, check out the latest Pistons lineup page.
Pistons 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 | ||
| 69 | 69 | 70 | 115.5 | 11.4 | 26.4 | 14.1 | 42.7 | 89.8 | 35.4 | 12.8 | 47.6 | 36.2 | 77.4 | 99.6 | 113.6 | 33.4 | 24.8 | 8 | 5.3 | 46.1 | 36.6 | 14.2 | ||
Pistons 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 | ||
| 29 | 30 | 5 | 11 | 11 | 15 | 23 | 10 | 14 | 22 | 20 | 13 | 17 | 22 | 8 | 14 | 12 | 6 | 17 | 9 | 9 | 25 | 11 | ||
Pistons Team Offensive Stats
| Opponent | Vegas | Points Scored | Shooting | Rebounding | Assists | TO | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | |
| 12/16/24 | MIA | +4.5 | 0 | 0 | 125 | 0 | 0 | 0 | 0 | 90 | 44 | 40 | 20 | 50 | 48.9 | 45 | 7 | 52 | 32 | 21 |
| 12/12/24 | BOS | +11.5 | None | 0 | 99 | 0 | 0 | 0 | 0 | 98 | 42 | 37 | 7 | 18.9 | 42.9 | 34 | 9 | 43 | 27 | 8 |
Pistons Team Defensive Stats
| Opponent | Vegas | Points Allowed | Shooting (Allowed) | Rebounding (Allowed) | AST Allow | Defensive | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | | |
| 12/16/24 | MIA | -4.5 | None | 0 | 124 | 0 | 0 | 0 | 0 | 99 | 45 | 43 | 12 | 27.9 | 45.5 | 35 | 9 | 44 | 30 | 4 | 8 |
| 12/12/24 | BOS | -11.5 | 0 | 0 | 123 | 0 | 0 | 0 | 0 | 90 | 46 | 48 | 20 | 41.7 | 51.1 | 43 | 8 | 51 | 34 | 4 | 8 |
Pistons Team Leaders
Points Per Game
Assists Per Game
Rebounds Per Game
Steals Per Game
Blocks per Game
Pistons Player Stats
| | | | | | | | | | | | | | | | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 83 | 35 | 26.1 | 9.1 | 6.1 | 1 | 0.8 | 4.4 | 46.9 | 9.8 | 2.1 | 6 | 35.6 0 | 4.5 | 5.3 | 84.6 |
| | 83 | 31.6 | 13.7 | 2.2 | 5.9 | 1 | 0.8 | 1.2 | 47.7 | 5.3 | 1.2 | 3.6 | 34.5 0 | 2 | 2.3 | 86.1 |
| | 77 | 29.9 | 17.6 | 4 | 4.1 | 0.9 | 0.4 | 3 | 46 | 6.3 | 2.1 | 5.1 | 40.9 0 | 2.8 | 3.9 | 73.3 |
| | 74 | 28.1 | 13.1 | 5.4 | 2.6 | 0.9 | 0.2 | 1.9 | 40.6 | 4.5 | 1.7 | 4.9 | 34.2 0 | 2.4 | 2.9 | 83.8 |
| | 78 | 27.9 | 11 | 1.6 | 2.4 | 0.5 | 0.1 | 0.6 | 40.6 | 3.6 | 2.2 | 5.9 | 36.8 0 | 1.6 | 1.9 | 85.5 |
| | 76 | 27.8 | 16.3 | 1.7 | 2.6 | 0.9 | 0.1 | 1 | 43 | 5.6 | 3.9 | 9.3 | 41.6 0 | 1.2 | 1.7 | 67.9 |
| | 74 | 26.1 | 11.8 | 2.7 | 10.3 | 0.7 | 1.1 | 1.7 | 69.2 | 4.8 | 0 | 0 | 0 0 | 2.1 | 3.1 | 66.9 |
| | 67 | 22.5 | 10.1 | 2.3 | 5.1 | 1.7 | 0.7 | 1.4 | 53.5 | 4.2 | 0.2 | 0.8 | 22.4 0 | 1.5 | 2.4 | 64.1 |
| | 67 | 22 | 14 | 0 | 8 | 0 | 0 | 2 | 66.7 | 6 | 0 | 0 | 0 0 | 2 | 3 | 66.7 |
| | 75 | 19.9 | 6 | 1.7 | 5.5 | 0.4 | 1.4 | 0.9 | 55.9 | 2.4 | 0.2 | 0.7 | 32.1 0 | 0.9 | 1.2 | 75.9 |
| | 69 | 17 | 4 | 2 | 7 | 0 | 0 | 0 | 12.5 | 1 | 0 | 6 | 0 0 | 2 | 2 | 100 |
| | 73 | 16.5 | 5.9 | 0.9 | 2.9 | 0.4 | 0.2 | 0.7 | 40.2 | 2 | 1 | 3 | 33.5 0 | 0.9 | 1.1 | 83.3 |
| | 67 | 15.6 | 6.4 | 1 | 2.7 | 0.6 | 0.2 | 0.9 | 47.4 | 2.4 | 0.4 | 1.9 | 23.8 0 | 1.1 | 1.5 | 75.4 |
| | 70 | 15 | 4.9 | 1 | 2.1 | 0.5 | 0.2 | 0.4 | 36.9 | 1.8 | 1.2 | 3.6 | 34.4 0 | 0.2 | 0.2 | 72.7 |
| | 67 | 14.2 | 6.6 | 2.3 | 1.2 | 0.6 | 0.1 | 0.9 | 46.3 | 2.4 | 1 | 2.7 | 38.2 0 | 0.8 | 0.9 | 84.3 |
| | 72 | 9.7 | 4.1 | 1 | 2.7 | 0.9 | 0.6 | 0.6 | 50.7 | 1.6 | 0.2 | 0.6 | 28.6 0 | 0.7 | 0.9 | 76.2 |
| | 67 | 5.2 | 1.9 | 0.9 | 0.9 | 0.2 | 0.1 | 0.1 | 60 | 0.8 | 0.2 | 0.6 | 40 0 | 0.1 | 0.2 | 50 |
| | 67 | 3.1 | 1 | 0.4 | 0.3 | 0 | 0 | 0.1 | 30 | 0.4 | 0.1 | 1 | 14.3 0 | 0 | 0.3 | 0 |
| | 67 | 3 | 5 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 1 | 1 | 100 0 | 0 | 0 | 0 |
Contents
- Detroit Piston Team Stats 2024-25
- Pistons Team Stats
- Pistons Team Rankings
- Pistons Team Offensive Stats
- Pistons Team Defensive Stats
- Pistons Team Leaders
- Pistons Player Stats
- Detroit Pistons 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 Metrics
- Rotation Depth and Bench Contribution Metrics
- Data-Backed Betting Strategies for Pistons 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 Pistons 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
- Detroit Pistons 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
Detroit Pistons Stats: A Data-Driven Analysis
The Detroit Pistons are rebuilding with a renewed focus on advanced analytics that capture every facet of their performance. From shooting efficiencies to pace and defensive metrics, every play is measured and analyzed to provide fans, bettors, DFS players, and fantasy managers with insightful data. This comprehensive approach helps reveal trends and opportunities across the season.
Pre-Game Lineup and Statistical Projections
Approximately 30 minutes before tip-off, the Pistons announce their starting lineup, offering early projections on expected production in points, rebounds, and efficiency ratings. Key players—often emerging talents in Detroit’s roster—provide the foundation for these predictions, with even subtle shifts in the lineup leading to measurable changes in per-minute statistics. Using real-time updates alongside historical data gives bettors and fantasy managers a crucial analytical edge.
Load Management and Minute Allocation Metrics
Effective minute management plays a vital role in the Pistons' strategy, especially as the team navigates a long, evolving season. Advanced metrics, such as usage rate, player efficiency rating (PER), and average minutes per game, illustrate how rest and rotation adjustments impact overall performance. Coaches utilize these numbers to decide which players receive increased playing time during back-to-back games or during heavy travel schedules. Analyzing these trends helps in predicting performance spikes and informing better wagering decisions.
Injury Impact and Real-Time Data Adjustments
When injuries or last-minute lineup changes occur, the Pistons’ statistical models quickly adapt, updating critical metrics like effective field goal percentage (eFG%) and defensive efficiency. Detroit’s depth means that substitutes are expected to contribute measurable numbers, which are factored into recalibrated projections almost immediately. Real-time injury reports and these updates allow bettors and fantasy managers to identify hidden value when key players are sidelined.
Matchup Analysis and Defensive Efficiency Metrics
The Pistons’ defensive performance is scrutinized through advanced stats such as opponent shooting percentages, defensive rating, and on-ball pressure metrics. By analyzing how Detroit’s lineup contests top scorers and disrupts offensive schemes, you gain a granular view of their defensive impact. This data-centric approach enhances predictions for overall game flow as well as individual player performances, offering insights that go well beyond traditional box scores.
Rotation Depth and Bench Contribution Metrics
Detroit’s rotation depth is reflected through key statistics like bench scoring averages, per-minute output, and second-unit plus-minus ratings. Coach rotations, particularly in a team in transition, are evaluated based on these metrics to determine overall team efficiency and potential for momentum shifts. Detailed analysis of bench contributions is especially useful for live betting and DFS, as it uncovers opportunities that may not be apparent in traditional statistics.
Data-Backed Betting Strategies for Pistons Games
Advanced statistical trends in Detroit’s game planning offer a wealth of information for informed betting decisions. Metrics such as pace of play, turnover ratios, and shooting efficiencies help project points spreads and identify value in player prop bets. By comparing current performance with historical trends, you can discover discrepancies before the market adjusts. A data-driven approach turns complex numbers into clear, strategic advantages.
Player Performance and Positional Splits
Detailed analysis using metrics like true shooting percentage (TS%), PER, and usage rates sheds light on individual matchups for the Pistons. Evaluating how emerging talents perform against elite competition can reveal their scoring potential and overall efficiency. These quantitative measures provide an objective framework to refine prop bets and wagering decisions. Data-supported comparisons empower smarter, more confident predictions.
Trend Analysis: Scoring, Efficiency, and Game Flow
Long-term trends in scoring averages, shooting percentages, and on/off splits lay the foundation for predicting upcoming game outcomes. Integrating historical performance data with current trends helps identify patterns of consistency, regression, or improvement before the betting lines shift. This detailed analysis offers a reliable benchmark for anticipating game flow and potential breakout performances. It supports a more precise approach to spotting 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 provides a deeper understanding of the Pistons’ overall performance dynamics. These models dynamically update with in-game changes, making them invaluable for both live betting and DFS decisions. Advanced analytics transform complex data sets into actionable insights, offering a measurable edge when forecasting game outcomes.
Identifying Value in Bench and Role Player Contributions
While star players often dominate headlines, the contributions from the Pistons’ bench are crucial to understanding the team's complete performance picture. Secondary metrics, including bench scoring averages and efficiency ratings, reveal the hidden impact of role players in shaping game momentum. Recognizing this value can uncover opportunities for live betting and DFS strategies that might otherwise be overlooked. Detailed bench data provides the nuance needed for a thorough statistical analysis.
Best Sportsbook Promotions for Pistons Betting
To enhance your data-driven betting strategy for Pistons games, consider sportsbook promotions that offer risk-free bets and odds boosts. These promotions are tailored to complement real-time performance metrics and reflect current lineup changes. Monitoring these special offers can provide additional value when the Pistons show statistical promise. Such promos are a crucial part of maximizing potential returns with an analytical approach.
- 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 have a significant effect on the Pistons’ statistical projections. Advanced models rapidly update key metrics like offensive efficiency and points per possession when lineup changes occur. Bettors and fantasy managers can use these real-time updates to make dynamic, informed strategy shifts. Accurate, data-driven responses to late-breaking news are essential for capitalizing on emerging opportunities.
Data-Driven Adjustments to Moneylines and Spreads
When a key player is unexpectedly ruled out, sportsbooks recalibrate moneylines and point spreads based on the latest statistical insights. These adjustments reflect shifts in team efficiency and overall output, opening up new betting opportunities. Continuous, real-time monitoring ensures you catch these changes as soon as they occur. Relying on updated analytics means your wagering decisions are informed by the most current data available.
Impact on Game Totals and Player Prop Projections
Changes in the starting lineup often trigger a re-evaluation of expected scoring outputs, influencing both overall game totals and individual player prop bets. Updated advanced stats illustrate how substitutions impact the pace and offensive efficiency of the team. Tracking these fluctuations allows for fine-tuned betting strategies on both totals and props. Adaptive methods based on detailed, real-time data reveal value 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 contributions. Advanced analytics help identify these discrepancies by comparing real-time data with historical averages. Quick, data-driven responses to these market inefficiencies can yield significant profit opportunities. Detailed trend analysis enables you to pinpoint undervalued bets before the market readjusts.
DFS Success with a Focus on Advanced Data
Building winning DFS lineups for the Pistons begins with a deep dive into 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 according to key metrics. Continuous evaluation of both individual and team data is essential for constructing a competitive roster. Leveraging comprehensive analytics provides your DFS lineup with a measurable edge.
Prioritize Players with High Usage and Efficiency Metrics
Core Pistons players are assessed not only by their scoring outputs but also by critical efficiency metrics like TS% and PER, which underline their overall value. Building your DFS roster on proven, data-backed track records creates a solid foundation. Their consistent production and predictable minute allocations minimize risk while maximizing scoring potential. An analytical approach to performance data 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 pinpoint the most favorable matchups for DFS success. Using data-driven comparisons to assess which teams struggle against the Pistons informs smarter player selections. Detailed, quantitative analysis reveals opportunities that traditional assessments might overlook. A numbers-focused strategy ensures that your DFS picks are both strategic and objectively sound.
Optimizing DFS with Contextual and Situational Metrics
Contextual factors such as home-court advantage, back-to-back games, and travel fatigue are quantifiable and play a significant role in determining player performance. Adjust your DFS lineup based on these situational statistics to enhance overall roster efficiency. Incorporating these variables ensures that your selections reflect real-time game conditions. A data-centric approach to situational analysis provides clear insights into potential performance shifts.
Detroit Pistons Rotations and Season-Long Fantasy Insights
In season-long fantasy basketball, consistent rotations and stable minute distributions are crucial to a competitive roster. Long-term trends and detailed statistical evaluations of individual performance guide drafting decisions and roster management strategies. Monitoring minute averages alongside key efficiency metrics helps fantasy managers anticipate fluctuations and make timely adjustments. Data-driven insights empower smarter, long-term fantasy decisions.
Assessing Rotational Stability Through Consistent Metrics
The core rotation of the Pistons is indicated by stable usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics provides a dependable baseline for fantasy success. These stable data points reflect the predictability of player contributions throughout the season. Ongoing statistical monitoring is essential to understanding and forecasting rotational trends.
Evaluating Roster Depth with Advanced Bench Metrics
Beyond the starting five, advanced stats—such as bench scoring averages and plus-minus ratings—reveal the overall depth of the Pistons’ roster. These metrics help identify undervalued role players who can contribute significantly when given additional minutes. Monitoring bench performance, particularly during injury spells or lineup rotations, provides valuable insight for fantasy management. Detailed data analysis of roster depth offers a competitive edge in season-long play.
Proactive Roster Management with Real-Time Data
Maintaining a competitive fantasy team requires constant attention to real-time statistics, including minute fluctuations and efficiency updates. Adjusting your roster based on the latest data allows you to capitalize on emerging opportunities before they are widely recognized. A proactive, data-driven approach ensures that your team remains optimized throughout the season. Regular updates and swift roster adjustments based on current metrics are key to sustained fantasy success.