The Cleveland Cavaliers vs Oklahoma City Thunder matchup delivered a compelling statistical narrative that went far beyond the final scoreline. This game was not just a contest between two teams but a showcase of individual performances, efficiency contrasts, depth impact, and tactical execution reflected clearly through player statistics. By closely examining match player stats, we gain a deeper understanding of why Oklahoma City controlled the game and where Cleveland struggled despite notable individual efforts.
This article presents a detailed, structured, and easy-to-understand analysis of Cleveland Cavaliers vs OKC Thunder match player stats, breaking down contributions from star players, supporting casts, offensive and defensive efficiency, and overall team balance. The focus remains entirely on statistical interpretation rather than external references, ensuring clarity and readability for all basketball enthusiasts.
Match Overview and Statistical Context
From the opening quarter, Oklahoma City Thunder established a strong statistical rhythm. Their shooting efficiency, ball movement, and defensive pressure quickly translated into superior numbers across major categories. Cleveland Cavaliers, while competitive in spurts, found it difficult to sustain consistency, which was reflected in shooting percentages and turnover statistics.
The final team totals showed Oklahoma City leading in points, field goal efficiency, three-point accuracy, assists, and defensive stops. Cleveland’s stats revealed isolated strong performances, but the overall data pointed toward imbalance and missed opportunities.
Oklahoma City Thunder: Player Stats Analysis
Shai Gilgeous-Alexander’s Offensive Command
Shai Gilgeous-Alexander’s stat line was the foundation of Oklahoma City’s dominance. He led the game in scoring, displaying elite shot selection and efficiency. His field goal percentage remained high throughout the night, indicating composure under defensive pressure.
Beyond scoring, his assist numbers demonstrated his ability to control tempo and involve teammates. While his rebound count was modest, his defensive contributions through steals and blocks added significant value. Statistically, his performance represented the ideal balance between scoring aggression and playmaking responsibility.
Chet Holmgren’s Two-Way Impact
Chet Holmgren delivered one of the most complete statistical performances of the match. His scoring efficiency stood out, particularly his accuracy from beyond the arc for a frontcourt player. Holmgren’s rebounding numbers highlighted his presence in the paint, while his block totals underscored his rim-protection role.
Statistically, Holmgren’s impact extended beyond traditional box score metrics. His spacing effect improved Oklahoma City’s offensive flow, which was reflected in team shooting percentages when he was on the floor.
Luguentz Dort’s Defensive and Scoring Balance
Luguentz Dort’s stats reflected his value as a two-way contributor. He posted solid scoring numbers, largely driven by perimeter shooting efficiency. Defensively, his pressure resulted in forced turnovers and disrupted Cleveland’s offensive rhythm.
Dort’s rebounding and assist numbers may not have led the team, but his all-around statistical contribution played a critical role in maintaining Oklahoma City’s momentum.
Bench Contributions and Depth Statistics
One of the defining statistical advantages for Oklahoma City came from their bench. Players like Isaiah Joe and Aaron Wiggins recorded efficient scoring numbers with limited minutes. Their shooting percentages remained high, proving that Oklahoma City maintained offensive efficiency even when starters rested.
Defensively, bench players contributed steals and rebounds that prevented Cleveland from capitalizing during rotation periods. Statistically, this depth advantage widened the gap between the two teams as the game progressed.
Cleveland Cavaliers: Player Stats Analysis
Donovan Mitchell’s Challenging Night
Donovan Mitchell’s stat line told a story of effort without efficiency. While he remained one of Cleveland’s top scorers, his shooting percentage was below his season average. A high volume of shot attempts contrasted sharply with limited success from long range.
Mitchell’s assist and steal numbers indicated his engagement on both ends of the floor, but the inefficiency reflected in his shooting stats significantly impacted Cleveland’s offensive output.
Evan Mobley’s All-Around Performance
Evan Mobley delivered one of Cleveland’s most balanced statistical performances. His points, rebounds, assists, and defensive metrics showcased his versatility. Mobley’s efficiency inside the paint remained solid, and his defensive presence resulted in blocks and altered shots.
Despite his strong individual numbers, the overall team stats showed that Mobley’s contributions were not enough to offset Oklahoma City’s collective efficiency.
Jarrett Allen’s Interior Presence
Jarrett Allen’s stats highlighted his dominance near the basket. His field goal efficiency was high due to strong finishing around the rim. Rebounding numbers reflected consistent effort on both offensive and defensive boards.
Defensively, Allen recorded multiple blocks, but Oklahoma City’s perimeter shooting limited his overall defensive impact. Statistically, Allen performed well in his role, though the team outcome diminished the effect of his contributions.
Supporting Cast and Rotation Challenges
Cleveland’s supporting players produced mixed statistical results. Some players posted solid scoring or rebounding numbers, but inconsistency defined their collective output. Bench scoring lagged behind Oklahoma City’s reserves, a key statistical disadvantage.
Turnover numbers among rotation players further hurt Cleveland’s offensive flow, contributing to Oklahoma City’s fast-break opportunities and increased scoring efficiency.
Team Statistical Comparison
Shooting Efficiency and Shot Selection
One of the most telling statistical contrasts was shooting efficiency. Oklahoma City recorded significantly higher field goal and three-point percentages. Cleveland’s lower shooting accuracy, particularly from deep, reflected poor shot selection and strong defensive pressure from the Thunder.
Free-throw numbers were relatively balanced, but Oklahoma City’s ability to convert from open play gave them a decisive edge.
Assists and Ball Movement
Oklahoma City outperformed Cleveland in total assists, indicating superior ball movement and spacing. The Thunder’s stats showed multiple players recording assists, while Cleveland relied heavily on primary ball handlers.
This disparity in playmaking efficiency translated directly into scoring opportunities and higher shooting percentages for Oklahoma City.
Rebounding and Defensive Metrics
Rebounding numbers were competitive, but Oklahoma City held a slight advantage in defensive rebounds, limiting Cleveland’s second-chance points. Steals and blocks also favored the Thunder, reflecting more active defensive engagement.
These defensive stats disrupted Cleveland’s rhythm and contributed to Oklahoma City’s transition scoring success.
Key Statistical Turning Points
The third quarter marked a major statistical shift in the game. Oklahoma City increased its shooting efficiency while Cleveland’s turnovers rose. This combination led to a significant point differential that Cleveland struggled to overcome.
Bench scoring during this period further widened the gap, reinforcing the importance of depth reflected in the match player stats.
What the Player Stats Reveal Overall
The Cleveland Cavaliers vs OKC Thunder match player stats clearly illustrate how efficiency, depth, and balanced contributions determine outcomes. Oklahoma City’s ability to generate consistent scoring across multiple players contrasted sharply with Cleveland’s reliance on a few individuals.
Statistically, this game emphasized the importance of shooting accuracy, assist distribution, and defensive activity. While Cleveland showcased effort and isolated strong performances, Oklahoma City’s collective statistical dominance defined the matchup.
Frequently Asked Questions (FAQs)
Who was the top performer in the Cleveland Cavaliers vs OKC Thunder match?
Shai Gilgeous-Alexander stood out statistically as the top performer due to his scoring efficiency, playmaking, and defensive contributions.
Which team had better shooting efficiency in the match?
Oklahoma City Thunder had significantly better shooting efficiency, especially from three-point range.
How did bench players affect the match player stats?
Oklahoma City’s bench outperformed Cleveland’s reserves, contributing efficient scoring and defensive stats that extended the lead.
Did any Cleveland player have an efficient overall stat line?
Evan Mobley and Jarrett Allen both recorded efficient and balanced stat lines, particularly in scoring and rebounding.
What was the biggest statistical difference between the two teams?
The biggest statistical difference was shooting efficiency combined with assist totals, both of which favored Oklahoma City.
