The Washington Wizards team stats page provides a complete look at how the team is performing across all major statistical categories. From scoring and pace to defensive efficiency and rebounding, this page highlights the numbers that define the Wizards’ season. Whether you're analyzing trends, scouting for fantasy, or tracking game-day matchups, these stats deliver the insights you need. For daily updates on who’s taking the floor, check out the latest Wizards lineup page.
Team Ratings | Offense Stats | Defense Stats | ||||||||||||||||||||||
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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 | ||
66 | 69 | 66 | 108 | 10.6 | 25.1 | 14.9 | 39.4 | 89.9 | 39.1 | 13.1 | 43.9 | 33.5 | 77.8 | 100.3 | 120.4 | 33.1 | 28.5 | 7.6 | 5.1 | 47.1 | 36.4 | 12.4 |
Team Rankings | Offense Rankings | Defense Rankings | ||||||||||||||||||||||
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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 | ||
30 | 30 | 2 | 27 | 20 | 25 | 26 | 27 | 13 | 9 | 17 | 28 | 29 | 16 | 4 | 29 | 15 | 26 | 23 | 12 | 19 | 20 | 23 |
Opponent | Vegas | Points Scored | Shooting | Rebounding | Assists | TO | ||||||||||||||
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| | | | | | | | | | | | | | | | | | | | |
12/15/24 | BOS | +17.5 | 0 | 0 | 98 | 0 | 0 | 0 | 0 | 99 | 40 | 40 | 13 | 32.5 | 40.4 | 34 | 17 | 51 | 22 | 16 |
12/13/24 | CLE | +16.5 | None | 0 | 105 | 0 | 0 | 0 | 0 | 86 | 41 | 40 | 14 | 35 | 47.7 | 38 | 6 | 44 | 24 | 17 |
Opponent | Vegas | Points Allowed | Shooting (Allowed) | Rebounding (Allowed) | AST Allow | Defensive | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | | | | | | | | | | | | | | | | |
12/15/24 | BOS | -17.5 | None | 0 | 112 | 0 | 0 | 0 | 0 | 93 | 40 | 46 | 18 | 39.1 | 43 | 40 | 16 | 56 | 26 | 7 | 10 |
12/13/24 | CLE | -16.5 | 0 | 0 | 115 | 0 | 0 | 0 | 0 | 91 | 36 | 50 | 15 | 30 | 39.6 | 34 | 16 | 50 | 27 | 7 | 7 |
| | | | | | | | | | | | | | | | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 67 | 33 | 12.3 | 3.4 | 5 | 1.3 | 0.7 | 2.1 | 42.1 | 4.5 | 1.1 | 3.8 | 28.1 0 | 2.3 | 3.1 | 74.6 |
| 67 | 30 | 9.8 | 4.4 | 4.2 | 0.7 | 0.3 | 1.7 | 40.1 | 3.7 | 1.7 | 5 | 33.9 0 | 0.8 | 1 | 81.2 |
| 84 | 29.4 | 20.5 | 4.5 | 3 | 1.3 | 0.4 | 3 | 43.2 | 6.7 | 3.5 | 9.1 | 37.8 0 | 3.6 | 4 | 88.3 |
| 67 | 27.1 | 13 | 2.4 | 6.5 | 0.7 | 1.5 | 1.7 | 39.4 | 4.9 | 1.6 | 5.1 | 30.8 0 | 1.7 | 2.5 | 67.9 |
| 67 | 26.5 | 8.7 | 2.5 | 4.2 | 1 | 0.7 | 1.4 | 37.2 | 3 | 1.7 | 5.2 | 32.2 0 | 1 | 1.4 | 75.3 |
| 76 | 26.2 | 11.6 | 1.7 | 3 | 0.4 | 0.2 | 1 | 45.1 | 4.2 | 2 | 5.4 | 36.4 0 | 1.2 | 1.4 | 85.2 |
| 81 | 23.5 | 12.7 | 4.1 | 3.8 | 0.5 | 0.2 | 1.6 | 43.3 | 4.3 | 0.7 | 2.3 | 28.6 0 | 3.4 | 3.8 | 88 |
| 87 | 22.8 | 11.9 | 4.1 | 3.7 | 0.9 | 0.2 | 1.5 | 47.5 | 4.3 | 1.3 | 3.6 | 36.1 0 | 1.9 | 2.3 | 85.7 |
| 67 | 22 | 7.6 | 2.6 | 2 | 0.4 | 0.1 | 1.2 | 38.5 | 2.8 | 0.8 | 3.1 | 26.7 0 | 1.1 | 1.3 | 86.5 |
| 69 | 21.6 | 8.8 | 1 | 5.7 | 1 | 0.6 | 0.9 | 51.1 | 3.4 | 1.2 | 3.1 | 38.3 0 | 0.8 | 1.2 | 68.5 |
| 76 | 21 | 8.4 | 2.2 | 2.5 | 0.1 | 0.5 | 1 | 35.6 | 3.2 | 1 | 3.4 | 29.6 0 | 0.9 | 1.4 | 63.6 |
| 83 | 20 | 9 | 3.2 | 2.1 | 1.1 | 0.3 | 1.6 | 39.3 | 3 | 1.4 | 4.1 | 34.8 0 | 1.6 | 2.1 | 76.1 |
| 74 | 17.2 | 7.4 | 1.4 | 5.7 | 0.3 | 0.7 | 0.7 | 64.7 | 2.9 | 0 | 0.1 | 0 0 | 1.6 | 1.9 | 83.3 |
| 67 | 14.9 | 4.9 | 1.1 | 2.8 | 0.6 | 0 | 0.8 | 41.9 | 1.9 | 0.4 | 1.4 | 30.4 0 | 0.6 | 0.6 | 90 |
| 67 | 14.6 | 9.4 | 1.1 | 3.7 | 0.3 | 0.7 | 1.2 | 49.6 | 3.4 | 1.1 | 2.9 | 37.3 0 | 1.5 | 1.9 | 77.6 |
| 67 | 13.2 | 4 | 1.1 | 2.2 | 0.7 | 0.3 | 0.6 | 45.7 | 1.5 | 0.4 | 1.3 | 32.7 0 | 0.6 | 0.9 | 65.7 |
| 71 | 12.4 | 3.5 | 0.3 | 2.4 | 0.4 | 0.5 | 0.5 | 42.4 | 1.2 | 0.3 | 1.1 | 28.6 0 | 0.8 | 1.1 | 68.2 |
| 71 | 7.9 | 2.6 | 0.3 | 1.3 | 0.2 | 0 | 0.2 | 48.9 | 0.9 | 0.2 | 0.6 | 32.3 0 | 0.7 | 1 | 66 |
| 74 | 1.8 | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | 0 | 0 | 0 |
| 79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | 0 | 0 | 0 |
| 67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | 0 | 0 | 0 |
Contents
The Washington Wizards utilize advanced analytics to refine their strategy and evaluate performance across every game. From shooting percentages and pace of play to defensive metrics and turnovers, all key aspects of the Wizards' game are broken down by detailed statistics. This data-centric approach offers fans, bettors, DFS players, and fantasy managers actionable insights into the team’s on-court impact.
Typically announced about 30 minutes before tip-off, the Wizards’ starting lineup provides early projections in areas such as points, rebounds, and efficiency ratings. Core players like Bradley Beal, Kyle Kuzma, and Davis Bertans are central to these projections, meaning even slight changes in the lineup can influence the overall statistical outlook. Real-time updates, combined with historical data, empower informed decisions for betting and DFS setups.
Effective minute management is crucial for maintaining high performance throughout the 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 during long stretches or back-to-back games. These insights help predict which players might see increased minutes and production, guiding smarter DFS selections and wagering strategies.
When injuries or last-minute lineup changes occur, the Wizards’ statistical models quickly update key metrics like effective field goal percentage (eFG%) and defensive efficiency. The depth of the roster allows quality substitutes to step up, and real-time injury updates enable rapid recalibration of projections. Bettors and fantasy managers benefit from these timely adjustments, which uncover hidden value when key players are sidelined.
Washington’s defensive strategy is quantified using advanced stats such as opponent shooting percentages, defensive ratings, and on-ball pressure metrics. Detailed matchup analyses—evaluating how well the Wizards contest perimeter shots and handle pick-and-roll plays—provide a comprehensive view of their defensive impact. This analytical approach moves beyond traditional box scores, offering deeper insights for predicting game flow and individual performance.
The Wizards’ rotation depth is evaluated through key statistics like bench scoring averages, per-minute output, and second-unit plus-minus ratings. Coach Wes Unseld Jr.'s strategic use of the bench is reflected in these metrics, highlighting how role players contribute to overall team performance. Detailed analysis of bench contributions is invaluable for live betting and DFS, as it reveals opportunities that may be overlooked by conventional statistics.
Leveraging detailed statistical trends from the Wizards’ gameplay provides a robust basis for smart betting decisions. Metrics such as pace of play, turnover ratios, and shooting efficiencies are vital in projecting point spreads and spotting value in player prop bets. By comparing current performance data with historical trends, bettors can identify discrepancies that signal favorable wagering opportunities. A data-driven approach transforms raw numbers into clear strategic insights.
In-depth evaluations using metrics like true shooting percentage (TS%), PER, and usage rate illuminate how key players perform in varying matchups. For instance, analyzing Bradley Beal’s efficiency against top defensive units can provide insights into his scoring and playmaking potential. These quantitative measures form an objective framework for refining prop bets and overall wagering strategies. Data-supported comparisons empower more confident and informed betting decisions.
Long-term trends in scoring averages, shooting percentages, and on/off splits create a predictive foundation for future Wizards performances. Merging historical data with current metrics highlights patterns of consistency, improvement, or regression before betting lines adjust. This detailed trend analysis offers a reliable benchmark for anticipating game flow and uncovering emerging value in the betting market.
Incorporating sophisticated metrics such as Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics deepens the understanding of the Wizards’ performance. These continuously updated models are invaluable for both live betting and DFS decisions, as they convert complex data into actionable insights. Advanced analytics give you the measurable edge needed to forecast both individual contributions and overall team outcomes.
While star players often receive the most attention, the statistical contributions of the Wizards’ bench are crucial to a complete analysis. Secondary metrics such as bench scoring averages and efficiency ratings illuminate the impact of role players on game momentum. Recognizing these contributions through detailed data analysis can reveal betting and DFS opportunities that traditional statistics might miss.
To enhance your data-driven betting strategy, capitalize on sportsbook promotions offering risk-free bets and odds boosts tailored to Wizards games. These offers align with real-time performance metrics and lineup updates, providing additional value for your wagers. Monitor special promotions that adjust with updated data to further optimize your betting strategy.
Last-minute adjustments and unexpected load management decisions can significantly alter the Magic’s statistical projections. Advanced models rapidly update key metrics—such as offensive efficiency and points per possession—when the lineup changes. 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 wagering opportunities.
When a key player is unexpectedly ruled out, sportsbooks recalibrate moneylines and point spreads based on the latest statistical data. These adjustments capture shifts in team efficiency and production, opening up new betting opportunities. Continuous, real-time monitoring ensures that you catch these updates as soon as they occur, providing a decisive edge in your wagering strategy.
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 affect the game’s pace and offensive production. Meticulous tracking of these fluctuations enables you to adjust your betting strategies with precision, revealing value even in volatile market conditions.
Occasionally, the betting market overreacts to sudden lineup changes, resulting in temporary mispricing of key contributions. Advanced analytics help identify these discrepancies by comparing current data with historical benchmarks. Quick, data-driven responses to these market inefficiencies can yield significant profit opportunities. Detailed trend analysis allows you to pinpoint undervalued bets before the market corrects itself.
Constructing winning DFS lineups for the Magic starts 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 whose high-efficiency metrics deliver consistent value. 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.
Core players are evaluated not only on their scoring outputs but also on key efficiency metrics like TS% and PER, underscoring their overall value. Building your DFS roster on proven, data-backed track records creates a stable foundation with minimal risk. Their consistent production and predictable minute allocations ensure a reliable core for your lineup. An analytical approach to these performance indicators is essential to DFS success.
Evaluating opponent defensive ratings, historical head-to-head statistics, and additional advanced metrics helps identify favorable matchups for DFS success. Using quantitative data to pinpoint which teams struggle defensively against the Magic guides smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might overlook, ensuring your DFS picks are robust and strategic.
Contextual factors such as home-court advantage, back-to-back games, and travel fatigue are quantifiable and can significantly impact 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.
In season-long fantasy basketball, maintaining consistent rotations and stable minute distributions is crucial for a competitive roster. Detailed evaluations of individual performance and long-term trends guide drafting and roster management decisions. By monitoring minute averages alongside key efficiency metrics, fantasy managers can anticipate fluctuations and adjust their teams proactively. Data-driven insights empower smarter, long-term fantasy strategies.
The Magic’s core rotation is defined by steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics provides a dependable baseline for long-term fantasy success. These stable data points highlight the predictability of player contributions across the season. Ongoing monitoring is essential for understanding and forecasting rotational trends.
Beyond the starting lineup, detailed bench statistics—such as scoring averages and plus-minus ratings—illuminate the overall depth of the roster. These metrics help identify undervalued role players who can significantly contribute when given additional minutes. Monitoring bench performance, particularly during injury stretches or lineup rotations, offers valuable insights for roster management. Comprehensive data analysis on roster depth provides a competitive edge in season-long fantasy play.
Maintaining a competitive fantasy roster requires continuous monitoring of real-time statistics, including minute fluctuations and efficiency updates. Adjusting your lineup based on the latest 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 adjustments based on current metrics are key to sustained fantasy success.