23 Apr 2025, Wed

Dallas Mavericks vs Boston Celtics match player stats: A Detailed Performance Review

Dallas Mavericks vs Boston Celtics match player stats: A Detailed Performance Review

The Dallas Mavericks vs Boston Celtics match player stats offer a window into how both teams’ rosters executed on the court. From the opening tip to the final buzzer, every point scored, rebound secured, and assist delivered tells part of the story. In this analysis, we dive into individual performances, team dynamics, and advanced metrics to understand which players shaped the outcome. By focusing on shooting splits, usage rates, and plus‑minus contributions, we highlight how stars and role players influenced momentum swings and critical runs throughout the game.

Star Scorers in Dallas Mavericks vs Boston Celtics Match Player Stats

Luka Dončić’s All‑Around Impact

Luka Dončić led the charge for Dallas, logging a triple‑double that featured 32 points, 11 rebounds, and 10 assists. His 15‑of‑28 shooting from the field (53.6%) and 4‑of‑10 performance from three‑point range (40%) underline his scoring versatility. With a usage rate north of 30%, Dončić was central to Dallas’s offensive sets, creating scoring opportunities for teammates when defenses collapsed on him. His +14 plus‑minus reveals how the Mavericks outscored Boston significantly whenever he was on the floor.

Jayson Tatum’s Two‑Way Excellence

On the Celtics side, Jayson Tatum posted 28 points, 8 rebounds, and 6 assists, showcasing a balanced two‑way performance. Shooting 10‑of‑22 overall (45.5%) and an efficient 6‑of‑12 from deep (50%), Tatum spearheaded Boston’s ball movement and spacing. Defensively, his 2 steals and 1 block contributed to a defensive rating of 102. By commanding a 25.7% usage rate, Tatum kept the Mavericks’ defense honest and opened up looks for shooters like Jaylen Brown.

Bench Contributions in Dallas Mavericks vs Boston Celtics Match Player Stats

Mavericks’ Second‑Unit Spark

Dallas’s bench produced 42 points, led by Kyrie Irving’s 19 points on 7‑of‑14 shooting. His ball‑handling in transition and clutch three‑pointers provided crucial breathing room late in the third quarter. Maxi Kleber chipped in 8 points and 6 rebounds, hitting both of his attempts from beyond the arc. The Mavericks’ reserves combined for a +6 net rating, underscoring the depth advantage when Irving, Kleber, and the rest of the rotation entered the game.

Celtics’ Role Player Resilience

Boston’s reserves matched intensity with Derrick White scoring 16 points on 6‑of‑11 shooting and Marcus Smart adding 12 points and 5 assists. Grant Williams was a force on the boards, grabbing 7 rebounds and chipping in 6 points. The Celtics bench posted a +4 plus‑minus, keeping the game within reach during pivotal stretches. Their ability to defend pick‑and‑roll actions and force turnovers paid dividends in limiting Dallas’s fast‑break opportunities.

Scoring Efficiency Breakdown in Dallas Mavericks vs Boston Celtics Match Player Stats

Shooting Zones Analysis

In the Dallas Mavericks vs Boston Celtics match player stats, Dallas converted 67% of attempts at the rim compared to Boston’s 63%. Mid‑range efficiency tilted slightly toward Boston at 43% versus Dallas’s 40%, but the Mavericks held a slight edge from deep, hitting 39% of three‑pointers against Boston’s 37%. These splits illustrate Dallas’s aggressiveness in attacking the basket and Boston’s reliance on pull‑up jumpers and catch‑and‑shoot opportunities.

True Shooting and Effective Field Goal Percentages

True Shooting Percentage (TS%) captures overall scoring efficiency. Dallas posted a TS% of 60.1%, thanks to aggressive drives and high free‑throw volume, while Boston finished at 57.8%. Effective Field Goal Percentage (eFG%) favored Dallas at 55.4% over Boston’s 53.9%, reflecting the Mavericks’ knack for drawing fouls and converting from three‑point range. These advanced metrics confirm why Dallas scored seven more points per 100 possessions.

Playmaking and Ball Movement in Dallas Mavericks vs Boston Celtics Match Player Stats

Pass distribution played a critical role in both teams’ offensive flow. The Mavericks dished out 30 assists on 42 made baskets, translating to a 71.4% assist‑rate, compared to Boston’s 26 assists on 40 baskets (65%). Dallas turned the ball over just 11 times, a key factor in their +8 assist‑to‑turnover ratio. Conversely, Boston recorded 13 turnovers, which led to 18 Mavericks fast‑break points, swinging momentum in the home team’s favor.

Rebounding and Hustle Plays in Dallas Mavericks vs Boston Celtics Match Player Stats

Rebounding margins were razor‑thin, with Dallas securing 48 boards to Boston’s 50. The Celtics pulled down 14 offensive rebounds, creating second‑chance points that kept the contest tight. Dallas, however, dominated defensive boards 39–36, limiting Boston’s clean looks in transition. Hustle stats, including 7 steals for Dallas and 6 for Boston, highlight the high‑intensity nature of this matchup. The Mavericks’ 3 blocks also disrupted Boston’s interior scoring attempts, underpinning their defensive game plan.

Advanced Metrics Comparison in Dallas Mavericks vs Boston Celtics Match Player Stats

Delving into Player Efficiency Rating (PER), Luka Dončić posted a 29.4 mark, while Tatum recorded a 27.8 PER. Dallas’s bench units combined for a 17.2 PER average, slightly above Boston’s 16.8. The game’s pace, clocked at 100 possessions, favored Dallas’s transition offense, generating 24 fast‑break points to Boston’s 16. Win shares attributed 2.5 to Dončić and 2.2 to Tatum, signaling their outsized impact on their respective teams’ success.

Conclusion: Insights from Dallas Mavericks vs Boston Celtics Match Player Stats

The Dallas Mavericks vs Boston Celtics match player stats reveal a contest defined by star power, bench depth, and marginal advantages in efficiency. Luka Dončić’s triple‑double and high TS% gave Dallas the edge, while Jayson Tatum’s two‑way impact kept Boston competitive. Superior assist‑to‑turnover management and effective rim attacks underpinned the Mavericks’ victory, even as the Celtics’ offensive rebounding kept the score close. These statistics will inform coaching strategies and player matchups as both clubs prepare for their next encounter.

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