Portland Trail Blazers Team Stats 2024-25 Blazers Team Stats
36-46, 4th in West Northwest
LAL 81 @ POR 109 Final
Final
The Portland Trail Blazers team stats page gives you a detailed look at how the team is performing across all key areas of the game. From scoring averages and shooting splits to defensive metrics and rebounding totals, this page offers everything you need to evaluate the Blazers' season. Whether you're analyzing matchups, tracking fantasy value, or following team trends, these stats keep you informed. For daily updates on who’s in the starting five, check out the latest Blazers lineup page.
Trail Blazers 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 | ||
| 78 | 86 | 70 | 110.9 | 13.4 | 23.8 | 15.1 | 40.5 | 90.2 | 37.7 | 12.9 | 45 | 34.2 | 76.2 | 98.3 | 113.9 | 31.4 | 26.2 | 8.3 | 5.3 | 47.1 | 36.1 | 14.5 | ||
Trail Blazers 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 | ||
| 16 | 11 | 4 | 22 | 2 | 27 | 29 | 24 | 9 | 15 | 19 | 26 | 26 | 26 | 17 | 15 | 27 | 13 | 11 | 8 | 20 | 16 | 7 | ||
Trail Blazers Team Offensive Stats
| Opponent | Vegas | Points Scored | Shooting | Rebounding | Assists | TO | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | |
| 12/15/24 | PHX | +11 | None | 0 | 109 | 0 | 0 | 0 | 0 | 94 | 42 | 49 | 15 | 30.6 | 44.7 | 36 | 12 | 48 | 30 | 13 |
| 12/13/24 | SAS | +3.5 | 0 | 0 | 116 | 0 | 0 | 0 | 0 | 82 | 42 | 41 | 16 | 39 | 51.2 | 28 | 8 | 36 | 25 | 13 |
Trail Blazers Team Defensive Stats
| Opponent | Vegas | Points Allowed | Shooting (Allowed) | Rebounding (Allowed) | AST Allow | Defensive | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | | |
| 12/15/24 | PHX | -11 | 0 | 0 | 116 | 0 | 0 | 0 | 0 | 89 | 43 | 39 | 15 | 38.5 | 48.3 | 34 | 12 | 46 | 23 | 4 | 6 |
| 12/13/24 | SAS | -3.5 | None | 0 | 118 | 0 | 0 | 0 | 0 | 85 | 44 | 30 | 14 | 46.7 | 51.8 | 28 | 13 | 41 | 32 | 5 | 9 |
Trail Blazers Team Leaders
Points Per Game
Assists Per Game
Rebounds Per Game
Steals Per Game
Blocks per Game
Trail Blazers Player Stats
| | | | | | | | | | | | | | | | | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | 81 | 32.7 | 19.3 | 4.8 | 2.7 | 0.9 | 0.1 | 2 | 42.6 | 6.8 | 3.1 | 8.5 | 36.3 0 | 2.5 | 2.8 | 90.2 |
| | 67 | 32.7 | 11.3 | 2.2 | 5.8 | 1.5 | 0.6 | 1.4 | 45.8 | 4.2 | 1.7 | 4.6 | 37.5 0 | 1.2 | 1.6 | 72.2 |
| | 83 | 32.4 | 14.4 | 2.1 | 3.5 | 0.9 | 1 | 1.4 | 37.3 | 4.6 | 2.3 | 6.3 | 36.5 0 | 3 | 3.5 | 84.9 |
| | 71 | 31.3 | 18.5 | 2.8 | 4.5 | 0.9 | 0.2 | 2.1 | 45.2 | 6.9 | 2 | 6.6 | 31.1 0 | 2.6 | 3.4 | 78.5 |
| | 86 | 30.1 | 14.4 | 1.6 | 10.2 | 0.8 | 1 | 1.7 | 56.6 | 6.6 | 0.1 | 0.8 | 18.8 0 | 1 | 1.5 | 66.7 |
| | 77 | 30 | 16.9 | 3.9 | 7.2 | 1 | 0.5 | 2.7 | 47.6 | 5.6 | 1.7 | 4.8 | 36.5 0 | 4 | 5.2 | 78 |
| | 67 | 26.7 | 12.7 | 5.1 | 3 | 1 | 0.2 | 2.7 | 41.9 | 4.3 | 1.6 | 4.5 | 35.4 0 | 2.4 | 3.1 | 76.7 |
| | 78 | 20.8 | 7.5 | 1.9 | 3.5 | 2.2 | 0.6 | 0.9 | 47.7 | 2.8 | 1.4 | 3.2 | 43.8 0 | 0.5 | 1 | 46.7 |
| | 67 | 19.7 | 6.5 | 1.1 | 7.9 | 0.5 | 1.6 | 1.1 | 53.9 | 2.7 | 0.2 | 0.7 | 28.6 0 | 0.9 | 1.6 | 59.6 |
| | 86 | 17.6 | 5.8 | 1.1 | 5.9 | 0.7 | 1.6 | 0.8 | 64.1 | 2.5 | 0.1 | 0.1 | 33.3 0 | 0.8 | 0.8 | 88.2 |
| | 71 | 16.7 | 8.3 | 2.4 | 2 | 0.6 | 0.5 | 1.3 | 39.1 | 3 | 1.1 | 3.3 | 32.4 0 | 1.4 | 1.9 | 72.8 |
| | 67 | 15.1 | 4.2 | 1 | 2.6 | 0.5 | 0.2 | 0.6 | 41.9 | 1.7 | 0.4 | 1.7 | 22.5 0 | 0.4 | 0.8 | 45.6 |
| | 67 | 12.5 | 5.2 | 0.6 | 3.5 | 0.6 | 0.1 | 0.6 | 51.5 | 2 | 0.5 | 1.2 | 38.9 0 | 0.8 | 1.2 | 69 |
| | 67 | 10.2 | 4.2 | 0.6 | 2 | 0.3 | 0.3 | 0.3 | 42.2 | 1.5 | 0.7 | 2.3 | 32.1 0 | 0.4 | 0.5 | 90.9 |
| | 67 | 9.5 | 3 | 0.5 | 4 | 1 | 0 | 1 | 20 | 1 | 0.5 | 2 | 25 0 | 0.5 | 1 | 50 |
| | 67 | 8.8 | 3 | 0.5 | 1.3 | 0.3 | 0.1 | 0.6 | 40.8 | 1.1 | 0.3 | 1.1 | 27.1 0 | 0.4 | 0.6 | 76.7 |
| | 67 | 5.3 | 0.9 | 0.4 | 0.5 | 0.3 | 0.1 | 0.3 | 38.1 | 0.4 | 0.1 | 0.5 | 20 0 | 0 | 0.1 | 0 |
| | 67 | 5.2 | 1.5 | 0.7 | 1 | 0.1 | 0 | 0.5 | 43.3 | 0.6 | 0.1 | 0.6 | 23.1 0 | 0.1 | 0.4 | 33.3 |
| | 69 | 2.5 | 1 | 0.2 | 0.2 | 0.1 | 0 | 0.3 | 28.6 | 0.3 | 0 | 0.3 | 0 0 | 0.4 | 0.5 | 83.3 |
Contents
- Portland Trail Blazers Team Stats 2024-25
- Trail Blazers Team Stats
- Trail Blazers Team Rankings
- Trail Blazers Team Offensive Stats
- Trail Blazers Team Defensive Stats
- Trail Blazers Team Leaders
- Trail Blazers Player Stats
- Portland Trail Blazers 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 Blazers 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 Blazers 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
- Portland Trail Blazers 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
Portland Trail Blazers Stats: A Data-Driven Analysis
The Portland Trail Blazers use advanced analytics to optimize their gameplay and improve overall efficiency. Every aspect of their performance—from shooting percentages and offensive pace to defensive metrics and turnovers—is meticulously tracked. This data-centric approach provides fans, bettors, DFS players, and fantasy managers with deep insights into the Blazers’ impact on the court.
Pre-Game Lineup and Statistical Projections
Typically announced about 30 minutes before tip-off, the Trail Blazers’ starting lineup offers an early glimpse into expected production in points, rebounds, and efficiency ratings. With key players like Damian Lillard, CJ McCollum, and Anfernee Simons leading the team, even slight lineup modifications can cause significant shifts in crucial metrics. Real-time updates alongside historical data empower informed decisions for betting and DFS.
Load Management and Minute Allocation Metrics
Effective minute management is essential to maintaining peak performance for the Blazers 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 time to balance rest and productivity. These insights help predict which players might see an increase in minutes during critical matchups, guiding smarter wagering and DFS strategy.
Injury Impact and Real-Time Data Adjustments
When injuries or last-minute lineup changes occur, the Blazers’ statistical models quickly update key metrics such as effective field goal percentage (eFG%) and defensive efficiency. The depth of the roster means that quality substitutes can step in, and real-time injury reports facilitate rapid recalibration of projections. Bettors and fantasy managers benefit from these timely adjustments, which uncover potential value when key players are unavailable.
Matchup Analysis and Defensive Efficiency
Portland’s defensive performance is quantified with advanced statistics like opponent shooting percentages and overall defensive ratings. Detailed matchup analyses—examining how the Blazers contest on-ball screens, limit scoring opportunities, or disrupt pick-and-roll plays—offer granular insights into their defensive impact. This analytical approach goes beyond traditional box scores, providing a clearer picture for predicting game flow and individual performances.
Rotation Depth and Bench Contribution Metrics
The depth of the Blazers’ rotation is assessed through key statistics such as bench scoring averages, per-minute output, and second-unit plus-minus ratings. Coach Terry Stotts’ (or current coach’s) decisions on deploying bench players are reflected in these numbers, highlighting their impact on overall team performance and momentum shifts. Thorough analysis of bench contributions is essential for live betting and DFS strategies, revealing opportunities that might be missed by conventional stats.
Data-Backed Betting Strategies for Blazers Games
Leveraging detailed statistical trends from the Blazers’ gameplay offers a robust framework for smart 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. Comparing current performance with historical trends enables bettors to pinpoint discrepancies before market adjustments occur, turning raw numbers into strategic advantages.
Player Performance and Positional Splits
Detailed evaluations using metrics like true shooting percentage (TS%), PER, and usage rate shed light on the contributions of key Blazers players in various matchups. For instance, assessing Damian Lillard’s performance against elite defenses provides insight into his scoring and playmaking potential. These objective, data-driven measures create a solid framework for refining prop bets and overall wagering strategy.
Trend Analysis: Scoring, Efficiency, and Game Flow
Long-term trends in scoring averages, shooting percentages, and on/off splits build a strong predictive foundation for future Blazers performances. Integrating historical data with current metrics reveals patterns of consistency, improvement, or decline before betting lines shift. This detailed trend analysis serves as a reliable 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 understanding of the Blazers’ overall performance. These continuously updated models are invaluable for real-time betting and DFS decisions, converting complex data into clear, actionable insights. Advanced analytics provide the measurable edge necessary to forecast both individual contributions and team outcomes accurately.
Identifying Value in Bench and Role Player Contributions
While star players often capture the headlines, the statistical impact of the Blazers’ bench is equally important. Secondary metrics like bench scoring averages and efficiency ratings reveal the contributions of role players that can affect game momentum. Recognizing these contributions through detailed data analysis can uncover opportunities for both live betting and DFS strategies that traditional stats might overlook.
Best Sportsbook Promotions for Blazers Betting
To complement your data-driven betting strategy for Blazers games, take advantage of sportsbook promotions offering risk-free bets and odds boosts. These promotions are designed to work in tandem with real-time performance metrics and lineup updates, providing additional value for your wagers. Monitoring these dynamic offers 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 Blazers’ 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 crucial for capturing emerging betting opportunities.
Data-Driven Adjustments to Moneylines and Spreads
When a pivotal player is unexpectedly sidelined, sportsbooks recalibrate moneylines and point spreads based on the latest statistical insights. These adjustments reflect shifts in team efficiency and overall production, unveiling new wagering opportunities. Continuous, real-time monitoring ensures that you catch these updates as soon as they happen, enabling precise betting decisions.
Impact on Game Totals and Player Prop Projections
Changes in the starting lineup often prompt a re-evaluation of expected scoring outputs, influencing both overall game totals and individual player prop bets. Updated advanced statistics illustrate how substitutions can impact the pace and offensive output of the game. Meticulous tracking of these fluctuations allows for precise 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, leading to temporary mispricing of key statistical contributions. Advanced analytics help identify these discrepancies by comparing updated data with historical benchmarks. Swift, data-driven responses to such 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
Constructing winning DFS lineups for the Blazers begins 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 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 Blazers players, such as Lillard and McCollum, are evaluated not only on scoring outputs but also on efficiency metrics like TS% and PER, which highlight their overall impact. Building your DFS roster on proven, data-backed performers creates a stable foundation with minimal risk. Their consistent production and reliable minute allocations ensure a robust core for your lineup. An analytical approach to these performance indicators is key to achieving DFS success.
Matchup Analysis Grounded in Quantitative Data
Evaluating opponent defensive ratings, historical head-to-head data, and other advanced metrics helps pinpoint the most favorable matchups for DFS success. Quantitative comparisons reveal which teams struggle defensively against the Blazers, guiding smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might miss, ensuring 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 significantly influence player performance. Adjust your DFS roster based on these contextual 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.
Portland Trail Blazers Rotations and Season-Long Fantasy Insights
In season-long fantasy basketball, maintaining consistent rotations and stable minute distributions is fundamental for a competitive roster. Long-term trends and detailed evaluations of individual performance provide critical guidance for drafting and roster management decisions. Monitoring minute averages alongside key efficiency metrics enables fantasy managers to anticipate performance fluctuations and adjust their teams proactively. Data-driven insights empower smarter, long-term fantasy strategies.
Assessing Rotational Stability Through Consistent Metrics
The core rotation of the Blazers is reflected in steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics offers a reliable baseline for long-term fantasy success, highlighting predictable contributions throughout the season. This ongoing monitoring supports strategic planning and forecasting of rotational trends.
Evaluating Roster Depth with Advanced Bench Metrics
Beyond the starting lineup, detailed bench statistics—such as scoring averages and plus-minus ratings—reveal the overall depth of the Blazers’ roster. These metrics help identify undervalued role players who can significantly contribute when given extra minutes, especially during injuries or lineup rotations. Thorough analysis of bench data provides a competitive edge in season-long fantasy play.
Proactive Roster Management with Real-Time Data
Maintaining a competitive fantasy team requires constant monitoring of real-time statistics, including minute fluctuations and efficiency updates. Adjusting your roster based on the most up-to-date data enables 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, with regular adjustments based on current metrics.