Washington Wizards Team Stats 2024-25 Wizards Team Stats

18-64, 5th in East Southeast

WAS 119 @ MIA 118 Final

Final

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.

Home Record: 8-33 Away Record: 10-31 Conference Record: 13-39 Division Record: 7-9

Wizards 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
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

Wizards 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
30
30
2
27
20
25
26
27
13
9
17
28
29
16
4
29
15
26
23
12
19
20
23

Wizards 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
12/15/24 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

Wizards 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
12/15/24 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

Wizards Team Leaders

Points Per Game
K. Middleton
K. Middleton: 0
J. Champagnie: 0
A. Sarr: 0
B. Carrington: 0
K. George: 0
Assists Per Game
K. Middleton
K. Middleton: 0
M. Smart: 0
R. Holmes: 0
M. Brogdon: 0
J. Poole: 0
Rebounds Per Game
K. Middleton
K. Middleton: 0
J. Champagnie: 0
A. Sarr: 0
B. Carrington: 0
K. George: 0
Steals Per Game
J. Poole
J. Poole: 1.3
B. Coulibaly: 1.3
M. Smart: 1.1
K. George: 1
J. Champagnie: 1
Blocks per Game
J. Poole
J. Poole: 0
C. Kispert: 0
S. Bey: 0
J. Nowell: 0
J. McDaniels: 0

Wizards Player Stats

NAME RTG MINS PTS AST REB STL Blk TO FG% FGM 3PTM 3PA 3P% FTM FTA FT%
Bilal Coulibaly
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
Bub Carrington
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
Jordan Poole
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
Alexandre Sarr
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
Kyshawn George
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
Corey Kispert
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
Malcolm Brogdon
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
Khris Middleton
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
AJ Johnson
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
Justin Champagnie
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
Jaylen Nowell
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
Marcus Smart
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
Richaun Holmes
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
Jaylen Martin
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
Tristan Vukcevic
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
Colby Jones
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
JT Thor
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
Anthony Gill
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
Jalen McDaniels
74
1.8 0 0.2 0 0.2 0 0 0 0 0 0 0 0 0 0 0
Saddiq Bey
79
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Erik Stevenson
67
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Washington Wizards Stats: A Data-Driven Analysis

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.

Pre-Game Lineup and Statistical Projections

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.

Load Management and Minute Allocation Metrics

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.

Injury Impact and Real-Time Data Adjustments

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.

Matchup Analysis and Defensive Efficiency

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.

Rotation Depth and Bench Contribution Metrics

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.

Data-Backed Betting Strategies for Wizards Games

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.

Player Performance and Positional Splits

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.

Trend Analysis: Scoring, Efficiency, and Game Flow

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.

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 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.

Identifying Value in Bench and Role Player Contributions

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.

Best Sportsbook Promotions for Wizards Betting

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.

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Late Lineup Changes and Their Statistical Impact

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.

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 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.

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 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.

Capitalizing on Market Overreactions with Advanced Analytics

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.

DFS Success with a Focus on Advanced Data

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.

Prioritize Players with High Usage and Efficiency Metrics

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.

Matchup Analysis Grounded in Quantitative Data

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.

Optimizing DFS with Contextual and Situational Metrics

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.

Orlando Magic Rotations and Season-Long Fantasy Insights

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.

Assessing Rotational Stability Through Consistent Metrics

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.

Evaluating Roster Depth with Advanced Bench Metrics

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.

Proactive Roster Management with Real-Time Data

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.