Atlanta Hawks Team Stats 2024-25 Hawks Team Stats

0-1, 3rd in East Southeast

vs MIA

11:00 pm GMT, 4/18

The Atlanta Hawks team stats page gives you an in-depth look at how the squad is performing across all key metrics. From offensive firepower and shooting percentages to defensive stats and rebounding rates, this page provides the numbers you need to understand the Hawks’ strengths and weaknesses. Whether you're diving into fantasy research, betting angles, or game analysis, these stats have you covered. For daily lineup updates, check out the latest Hawks lineup page.

Home Record: 0-0 Away Record: 0-1 Conference Record: 0-1 Division Record: 0-1

Hawks 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
82
86
78
118.2
11.9
29.6
14.7
43.4
91.8
37.7
13.5
47.2
35.8
77.5
102.3
119.3
32.6
28.2
9.7
5.1
48.1
37.7
15.2

Hawks 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
14
10
15
5
9
2
24
6
5
14
14
14
18
19
3
27
22
24
2
11
28
28
3

Hawks 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
12/14/24 MIL +3.5 None 0 102 0 0 0 0 82 35 24 10 41.7 42.7 37 7 44 23 13
12/11/24 NYK +7.5 None 0 108 0 0 0 0 104 43 31 9 29 41.3 36 22 58 27 10

Hawks 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
12/14/24 MIL -3.5 0 0 110 0 0 0 0 86 39 45 14 31.1 45.3 41 6 47 28 6 3
12/11/24 NYK -7.5 0 0 100 0 0 0 0 93 40 42 11 26.2 43 37 12 49 27 7 5

Hawks Team Leaders

Points Per Game
C. Capela
C. Capela: 0
J. Johnson: 0
J. Toppin: 0
K. Bufkin: 0
M. Gueye: 0
Assists Per Game
C. Capela
C. Capela: 0
L. Nance Jr.: 0
C. LeVert: 0
G. Niang: 0
T. Young: 0
Rebounds Per Game
C. Capela
C. Capela: 0
J. Johnson: 0
J. Toppin: 0
K. Bufkin: 0
M. Gueye: 0
Steals Per Game
D. Daniels
D. Daniels: 3
J. Johnson: 1.6
T. Young: 1.2
O. Okongwu: 0.9
C. LeVert: 0.9
Blocks per Game
D. Daniels
D. Daniels: 0
G. Mathews: 0
D. Plowden: 0
J. Toppin: 0
K. Bufkin: 0

Hawks Player Stats

NAME RTG MINS PTS AST REB STL Blk TO FG% FGM 3PTM 3PA 3P% FTM FTA FT%
Trae Young
91
36 24.2 11.6 3.1 1.2 0.2 4.7 41.1 7.4 2.9 8.4 34 0 6.5 7.4 87.5
Jalen Johnson
74
35.7 18.9 5 10 1.6 1 2.9 50 7.5 1.2 3.9 31.2 0 2.6 3.5 74.6
Dyson Daniels
72
33.8 14.1 4.4 5.9 3 0.7 2 49.3 6 1.1 3.1 34 0 1.1 1.8 59.3
Onyeka Okongwu
77
27.9 13.4 2.3 8.9 0.9 0.9 1.2 56.7 5.2 0.6 2 32.4 0 2.2 2.9 75.9
Caris LeVert
77
24.9 12.1 3.4 3.2 0.9 0.5 1.2 46.7 4.4 1.7 4.4 37.3 0 1.7 2.4 71
Zaccharie Risacher
67
24.6 12.6 1.2 3.6 0.7 0.5 1.2 45.8 4.8 1.6 4.6 35.5 0 1.4 2 71.1
Georges Niang
74
21.5 9.9 1.4 3.4 0.4 0.2 1 46.1 3.6 2.1 5.2 40.6 0 0.6 0.7 79.3
Clint Capela
85
21.4 8.9 1.1 8.5 0.6 1 0.9 55.9 4 0 0 0 0 0.9 1.8 53.6
Terance Mann
74
21.1 7.7 1.8 3 0.7 0.2 0.7 49.6 3.1 0.9 2.4 36.8 0 0.7 1 69.1
Vít Krejčí
69
20.2 7.2 2.6 2.7 0.6 0.5 0.9 49.7 2.5 1.6 3.6 43.7 0 0.6 0.8 71.1
Larry Nance Jr.
75
19.3 8.5 1.6 4.3 0.8 0.5 0.7 51.6 3.3 1.4 3.2 44.7 0 0.4 0.5 69.2
Garrison Mathews
72
17.6 7.5 1.3 1.9 0.6 0.3 0.7 39.7 2.2 1.8 4.6 39 0 1.4 1.7 82.1
Keaton Wallace
67
16.2 5.4 2.6 1.6 0.9 0.3 1.1 40.1 2.1 0.9 2.6 32.9 0 0.4 0.4 100
Mouhamed Gueye
67
16.1 6 0.8 4.2 0.8 1 0.5 42.1 2.2 0.6 2.5 25.9 0 1 1.3 76.2
Kobe Bufkin
67
12.3 5.3 1.7 2.1 0.3 0.2 0.8 38.3 1.8 0.4 1.9 21.1 0 1.3 1.8 72.2
Daeqwon Plowden
67
11.8 7.2 0.3 1.8 0 0 0.7 64 2.7 1.5 2.8 52.9 0 0.3 0.3 100
Dominick Barlow
67
10.7 4.2 0.5 2.4 0.3 0.5 0.1 53.1 1.7 0.2 0.8 25.9 0 0.6 0.9 63.6
Jacob Toppin
67
4.4 1.4 0.4 0.9 0.1 0 0.2 40.9 0.5 0.3 0.6 50 0 0 0 0
Kevon Harris
68
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Atlanta Hawks Stats: A Data-Driven Analysis

The Atlanta Hawks are harnessing the power of advanced analytics to elevate their game and maximize on-court performance. Every aspect of their play—from shooting percentages and pace to defensive efficiency—is meticulously tracked, offering fans, bettors, DFS players, and fantasy managers a comprehensive view of their performance. Leveraging these detailed stats transforms raw numbers into actionable strategies for success.

Pre-Game Lineup and Statistical Projections

Typically announced about 30 minutes before tip-off, the Hawks’ starting lineup provides early insights into expected production in points, rebounds, and efficiency ratings. With key players like Trae Young, Dejounte Murray, and John Collins taking center stage, even minor lineup tweaks can have a measurable impact on team metrics. Real-time updates, combined with historical data comparisons, empower bettors and fantasy managers to make informed decisions before the game begins.

Load Management and Minute Allocation Metrics

Effective minute management is crucial for the Hawks, especially during long seasons and back-to-back games. Advanced metrics such as usage rate, player efficiency rating (PER), and average minutes per game reveal how the coaching staff allocates playing time to maintain peak performance while mitigating fatigue. These data points help predict which players may see an uptick in minutes, guiding smarter DFS selections and wagering strategies.

Injury Impact and Real-Time Data Adjustments

Injuries and last-minute changes are quickly reflected in updated statistical models for the Hawks, adjusting metrics like effective field goal percentage (eFG%) and overall defensive efficiency. With a deep roster, substitutions are anticipated to fill the gap, and real-time injury updates recalibrate projections almost immediately. Bettors and fantasy managers benefit from these timely adjustments, which highlight emerging value when key players are sidelined.

Matchup Analysis and Defensive Efficiency

Atlanta’s defensive performance is quantified through advanced stats such as opponent shooting percentages and defensive ratings. Detailed analysis—such as how well the Hawks contest perimeter shots and disrupt pick-and-roll plays—provides valuable insights into their defensive impact. This data-driven approach goes beyond traditional box scores, offering a granular view that assists in predicting game flow and individual player contributions.

Rotation Depth and Bench Contribution Metrics

The depth of the Hawks’ rotation is evaluated through key statistics such as bench scoring averages, per-minute production, and second-unit plus-minus ratings. Coach Quin Snyder’s strategic use of his bench is reflected in these data points, which often signal shifts in game momentum. Detailed bench analysis is crucial for both live betting and DFS, as it reveals opportunities that might be overlooked by conventional stats.

Data-Backed Betting Strategies for Hawks Games

Advanced statistical trends in Atlanta’s gameplay provide a robust foundation for informed betting decisions. Metrics such as pace of play, turnover ratios, and shooting efficiencies help project point spreads and identify value in player prop bets. By comparing current performance data with historical trends, bettors can spot discrepancies that signal favorable wagering opportunities. A data-centric approach translates complex numbers into clear, strategic advantages.

Player Performance and Positional Splits

In-depth evaluations using metrics like true shooting percentage (TS%), PER, and usage rates shine a light on the contributions of key Hawks players in various matchups. For example, analyzing how Trae Young performs against elite defensive units can reveal his scoring and playmaking potential. These objective measurements provide a solid framework for refining prop bet selections and overall wagering strategies. Data-supported comparisons lead to more confident betting decisions.

Trend Analysis: Scoring, Efficiency, and Game Flow

Long-term trends in scoring averages, shooting percentages, and on/off splits establish a predictive foundation for future Hawks performances. Integrating historical data with current metrics helps identify patterns of consistency, improvement, or regression before betting lines shift. This detailed trend analysis offers a reliable benchmark for anticipating game flow and spotting emerging betting value.

Leveraging Advanced Analytics for Outcome Prediction

Incorporating sophisticated metrics like Player Impact Estimate (PIE), plus-minus ratings, and pace-adjusted statistics allows for a deeper understanding of the Hawks’ overall performance. These continuously updated models are invaluable for both live betting and DFS decisions, converting complex data sets into actionable insights. This comprehensive analytics approach provides the measurable edge needed to forecast both individual and team outcomes accurately.

Identifying Value in Bench and Role Player Contributions

While star players often grab the headlines, the contributions of the Hawks’ bench are equally critical to a complete statistical picture. Secondary metrics, such as bench scoring averages and efficiency ratings, highlight how role players impact the overall game. Recognizing these contributions through detailed data analysis can unveil opportunities for live betting and DFS that might be missed by traditional statistics. Such insights complete the overall statistical evaluation of the team.

Best Sportsbook Promotions for Hawks Betting

To support your data-driven betting strategy for Hawks games, take advantage of sportsbook promotions that offer risk-free bets and odds boosts. These promotions are tailored to enhance the value of your wagers by aligning with real-time performance metrics and lineup updates. Keep an eye on special offers that adjust alongside updated data for additional advantages. Leveraging these promos can further maximize your betting returns when combined with robust analytics.

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Late Lineup Changes and Their Statistical Impact

Last-minute adjustments and unexpected load management decisions can significantly alter the Hawks’ 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 use these real-time updates to adjust their strategies on the fly. Accurate, data-driven responses to late-breaking news are essential 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 fresh statistical data. These adjustments capture shifts in team efficiency and production, creating new opportunities for wagering. Continuous monitoring of real-time updates ensures you catch these changes as they occur. Relying on the latest analytics gives your betting strategy a significant advantage.

Impact on Game Totals and Player Prop Projections

Changes in the starting lineup often prompt a re-evaluation of expected scoring, influencing both overall game totals and individual player prop bets. Updated advanced stats illustrate how substitutions affect the pace and offensive output of the game. Meticulous tracking of these fluctuations enables you to adjust your betting strategy on totals and props with precision. Adaptive methods based on detailed data reveal value even in volatile market conditions.

Capitalizing on Market Overreactions with Advanced Analytics

Occasionally, the betting market may overreact to sudden lineup changes, leading to temporary mispricing of key contributions. Advanced analytics help identify these discrepancies by comparing current data with historical benchmarks. Swift, data-driven responses to these market inefficiencies can lead to substantial profit opportunities. Detailed trend analysis enables you to pinpoint undervalued bets before the market corrects itself.

DFS Success with a Focus on Advanced Data

Constructing winning DFS lineups for the Hawks starts with an in-depth examination 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 provide high efficiency based on key metrics. Continuous evaluation of both individual and team data is essential for assembling a competitive roster. Leveraging comprehensive analytics offers your DFS lineup a measurable edge.

Prioritize Players with High Usage and Efficiency Metrics

Core players like Trae Young and Dejounte Murray are evaluated not only on their scoring but also on efficiency metrics such as TS% and PER, underscoring their overall value. Building your DFS roster on data-backed performance creates a solid foundation with minimal risk. Their consistent production and predictable playing time offer stability to your lineup. An analytical approach to these performance indicators is crucial for DFS success.

Matchup Analysis Grounded in Quantitative Data

Evaluating opponent defensive ratings, historical head-to-head data, and other advanced metrics helps identify the most favorable matchups for DFS success. Using quantitative comparisons to assess which teams struggle against the Hawks informs smarter player selections. Detailed, numbers-driven analysis uncovers opportunities that traditional evaluations might miss. A focus on objective data ensures your DFS picks are both strategic and robust.

Optimizing DFS with Contextual and Situational Metrics

Situational factors such as home-court advantage, back-to-back games, and travel fatigue are quantifiable and significantly impact 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 provides clear insights into potential performance shifts.

Milwaukee Bucks Rotations and Season-Long Fantasy Insights

In season-long fantasy basketball, maintaining consistent rotations and stable minute distributions is crucial for a competitive roster. Long-term trends and detailed evaluations of individual performance guide drafting and roster management decisions. Monitoring minute averages alongside key efficiency metrics allows fantasy managers to anticipate fluctuations and adjust their lineups accordingly. Data-driven insights empower more informed, long-term fantasy decisions.

Assessing Rotational Stability Through Consistent Metrics

The core rotation of the Bucks is marked by steady usage rates and consistent efficiency statistics from key players. Continuous tracking of performance metrics from stars provides a dependable baseline for fantasy success. These stable data points illustrate the predictability of player 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 Bucks’ roster. These numbers help pinpoint undervalued role players who can make significant contributions when given extra minutes. Monitoring bench performance, especially during injury or rest periods, offers valuable insight for fantasy management. Comprehensive analysis on roster depth provides a competitive edge in season-long play.

Proactive Roster Management with Real-Time Data

Keeping your fantasy roster competitive requires constant monitoring of real-time statistics, including minute fluctuations and efficiency updates. Adjusting your lineup based on the most recent data enables 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.