Cleveland Cavaliers vs Chicago Bulls Match Player Stats

The Cleveland Cavaliers vs Chicago Bulls match player stats from March 5, 2025, reveal how Cleveland secured a convincing 139-117 victory over Chicago at the United Center. Donovan Mitchell led the Cavaliers with 28 points, while Jarrett Allen controlled the boards with 17 rebounds. Darius Garland added seven assists, helping Cleveland turn a competitive game into a 22-point win. For Chicago, Coby White scored 25 points and contributed seven assists, while Talen Horton-Tucker supplied 22 points off the bench. Despite Chicago recording more assists and slightly more field goals, Cleveland’s three-point shooting, free-throw accuracy, and strong fourth-quarter performance proved decisive.

This matchup offers more than a final score. The individual performances, shooting percentages, rebounding totals, and quarter-by-quarter scoring explain why Cleveland came away with the win. The following breakdown covers the key player statistics, team comparisons, starting lineups, bench contributions, and important lessons from the game.

Game Overview: Cleveland Cavaliers vs Chicago Bulls

The Cavaliers visited Chicago on March 5, 2025, and delivered one of their strongest offensive performances of the matchup. Cleveland finished with 139 points, while the Bulls scored 117. The game took place at the United Center in Chicago, Illinois, with an announced attendance of 20,943.

Match Summary

Game Detail	Information
Matchup	Cleveland Cavaliers vs Chicago Bulls
Date	March 5, 2025
Venue	United Center
Location	Chicago, Illinois
Final Score	Cavaliers 139, Bulls 117
Winning Team	Cleveland Cavaliers
Winning Margin	22 points
Attendance	20,943
Game Status	Final
Cavaliers’ Leading Scorer	Donovan Mitchell, 28 points
Bulls’ Leading Scorer	Coby White, 25 points
Cavaliers’ Leading Rebounder	Jarrett Allen, 17 rebounds
Bulls’ Leading Rebounder	Zach Collins, 12 rebounds
Cavaliers’ Assists Leader	Darius Garland, 7 assists
Bulls’ Assists Leaders	Tre Jones and Coby White, 7 assists each

Cleveland entered the game with a reported 51-10 record, including a 23-6 road record. Chicago entered at 24-38, with an 11-22 home record. Those records provide useful context for the contest, although the game’s actual statistical differences explain the result more directly.

The Cavaliers also led the displayed season series 3-0, according to the supplied matchup data. That detail illustrates Cleveland’s advantage in this particular season series, but the performance in this individual game deserves its own analysis.

Cleveland Cavaliers vs Chicago Bulls Match Player Stats

The central story of this game was the difference between Cleveland’s scoring efficiency and Chicago’s ability to generate opportunities. Cleveland made 46 of 98 field-goal attempts, while Chicago made 47 of 106. The Bulls recorded one more made field goal, but Cleveland scored 22 more points.

The difference becomes clearer when three-point shooting and free throws are included. Cleveland made 17 three-pointers and 30 free throws. Chicago made 11 three-pointers and 12 free throws. Those additional points helped the Cavaliers overcome Chicago’s slightly higher total of made field goals.

Cleveland Cavaliers Player Performance

Donovan Mitchell led Cleveland with 28 points, providing the team’s highest individual scoring total. Jarrett Allen contributed 17 rebounds, giving the Cavaliers a strong presence on the glass. Darius Garland led the team with seven assists, while Ty Jerome added 16 points.

These performances reflect different ways players contributed to the result. Mitchell supplied scoring, Allen helped control rebounds, and Garland supported offensive movement through his passing. Jerome’s 16 points added another scoring option beyond the team’s leading players.

Player	Key Statistical Contribution
Donovan Mitchell	28 points
Jarrett Allen	17 rebounds
Darius Garland	7 assists
Ty Jerome	16 points

The available data identifies these leading contributions but does not provide a complete individual box score with every player’s minutes, shooting splits, steals, blocks, and turnovers. Those details should be checked against the official game box score before being published as individual statistics.

Donovan Mitchell: Cleveland’s Leading Scorer

Mitchell’s 28 points made him the leading scorer in the contest. His scoring output was central to Cleveland’s offensive production, particularly in a game where the Cavaliers finished with 139 points.

Scoring totals are most useful when considered alongside the team result. Mitchell helped Cleveland maintain a high offensive output, but the team’s overall shooting and contributions from other players also mattered. A 28-point performance is an important headline, not a complete explanation of the victory.

For readers evaluating his performance, three additional figures would provide useful context: field goals made and attempted, three-pointers made and attempted, and minutes played. These statistics would show how efficiently he produced his points and how much of the team’s offense he carried while on the floor.

Jarrett Allen: Rebounding and Interior Presence

Allen collected 17 rebounds, the highest reported total for either team. Rebounds are important because they determine which team gains possession after missed shots and can limit opponents’ second-chance opportunities.

Cleveland finished with 53 total rebounds, compared with Chicago’s 50. Allen’s 17-rebound performance was a significant part of the Cavaliers’ work on the glass, although team rebounding also depends on contributions from every player.

A complete assessment would distinguish offensive rebounds from defensive rebounds. Offensive boards create additional scoring opportunities, while defensive rebounds help end an opponent’s possession. The supplied figures do not divide Allen’s individual rebounds into those categories, so his exact split cannot be confirmed here.

Darius Garland: Playmaking and Ball Movement

Garland recorded seven assists to lead Cleveland. Assists help show how effectively a player creates scoring opportunities for teammates, although they do not capture every useful pass or action that leads to a basket.

Cleveland finished with 27 assists as a team. Chicago recorded 32, meaning the Bulls actually produced five more assists than the Cavaliers. This is an important detail because it demonstrates that the result was not simply a matter of Cleveland passing more effectively by the final assist count.

Instead, Cleveland’s scoring advantage came from a combination of shooting, free throws, rebounding, and execution across four quarters. Garland’s seven assists were an important individual contribution within that broader team performance.

Ty Jerome: Additional Scoring Support

Jerome scored 16 points for Cleveland. His contribution matters because successful offenses often depend on more than one primary scorer.

When supporting players score consistently, opposing defenses have fewer opportunities to focus exclusively on the leading scorer. The supplied data does not establish how Jerome’s points were distributed by quarter or whether they came primarily from the perimeter, the paint, or the free-throw line. Those details would be needed to describe his scoring method accurately.

Chicago Bulls Player Stats and Standout Performances

Chicago scored 117 points, a total that would represent a strong offensive output in many games. The problem was that Cleveland scored 139. The Bulls’ individual performances kept their offense productive, but their shooting from three-point range and the free-throw line limited their ability to match the Cavaliers’ final total.

Coby White led Chicago with 25 points and seven assists. Zach Collins collected 12 rebounds, while Talen Horton-Tucker scored 22 points off the bench. These three performances represent the main individual statistical highlights identified in the supplied data.

Coby White: Chicago’s Leading Scorer

White finished with 25 points and seven assists. His combination of scoring and playmaking made him a central contributor to Chicago’s offense.

His seven assists tied Tre Jones for the Bulls’ team lead in that category. That combination is notable because White contributed both as a scorer and as a creator for his teammates.

However, Chicago’s overall three-point shooting was 25%, with 11 makes on 44 attempts. Without White’s individual shooting line, it would be inaccurate to assign the team’s perimeter struggles specifically to him. The team figure establishes the broader shooting problem, while a player-level assessment requires his own field-goal and three-point numbers.

Zach Collins: Rebounding Contribution

Collins recorded 12 rebounds to lead Chicago. His total was five fewer than Allen’s 17 rebounds, giving Cleveland’s leading rebounder the highest individual mark reported for the game.

Chicago still finished with 50 total rebounds, only three fewer than Cleveland’s 53. That relatively small team-level difference suggests that rebounding alone does not explain the 22-point margin.

The more significant separation appeared in shooting efficiency and free-throw production. Chicago’s ability to collect rebounds did not translate into enough additional scoring to keep pace with Cleveland.

Talen Horton-Tucker: Bench Scoring

Horton-Tucker scored 22 points off the bench, providing Chicago with a substantial scoring contribution from its reserves.

His output is especially relevant when evaluating the game beyond the starting lineup. Bench scoring can help a team maintain offensive pressure when starters rest, and 22 points represents a notable individual contribution.

Nevertheless, bench points must be considered alongside defensive performance and shooting efficiency. The supplied data does not include Horton-Tucker’s individual shooting line or plus-minus figure, so it cannot establish how efficiently he scored or how the team performed during his minutes.

Tre Jones: Playmaking Support

Jones recorded seven assists, matching White for Chicago’s highest individual total in the category. His contribution helped the Bulls finish with 32 team assists.

Chicago’s assist total exceeded Cleveland’s, yet the Bulls lost by 22 points. This is a useful reminder that passing volume does not automatically produce a scoring advantage. The results of possessions depend on shot quality, shooting accuracy, turnovers, and the number of points earned from each successful attempt.

Complete Team Statistical Comparison

The team statistics provide the clearest explanation of how Cleveland built its advantage. Both teams generated considerable offensive activity, but the Cavaliers converted more of their perimeter opportunities and free throws into points.

Statistical Category	Cleveland Cavaliers	Chicago Bulls
Final Points	139	117
Field Goals Made	46	47
Field Goals Attempted	98	106
Field-Goal Percentage	47%	44%
Three-Pointers Made	17	11
Three-Pointers Attempted	48	44
Three-Point Percentage	35%	25%
Free Throws Made	30	12
Free Throws Attempted	33	17
Free-Throw Percentage	91%	71%
Total Rebounds	53	50
Offensive Rebounds	11	10
Defensive Rebounds	42	40
Assists	27	32
Turnovers	8	7
Steals	4	6
Blocks	4	6
Team Fouls	14	21

The figures above use the supplied game data. Shooting percentages are rounded, so calculations based on the displayed percentages may differ slightly from calculations using the exact makes and attempts.

Field-Goal Shooting: Why the Makes Do Not Tell the Whole Story

Chicago made 47 field goals, one more than Cleveland’s 46. At first glance, that might seem to suggest the Bulls were more productive from the field. However, the number of attempts matters.

Chicago attempted 106 field goals and made 47, producing a reported 44% field-goal percentage. Cleveland attempted 98 and made 46, producing 47%. The Cavaliers therefore made nearly the same number of baskets while using eight fewer attempts.

That difference is important in basketball analysis. A team can make more shots in total but still be less efficient because it needs more attempts to produce them. Cleveland’s higher field-goal percentage indicates better overall conversion on the attempts recorded in the box score.

Three-Point Shooting: A Major Scoring Difference

Cleveland made 17 three-pointers on 48 attempts, while Chicago made 11 on 44 attempts.

The Cavaliers therefore made six more three-pointers. Since each successful three-pointer is worth three points, those additional makes created an 18-point difference in total three-point scoring.

The shooting percentages also favored Cleveland. The Cavaliers converted approximately 35% of their attempts, compared with Chicago’s 25%. The difference between those percentages indicates that Cleveland generated more value from its perimeter attempts.

This does not mean every three-point attempt was a good decision or that three-point shooting alone determined the outcome. However, the combination of six additional makes and a higher conversion rate represents one of the clearest statistical explanations for the final margin.

Free-Throw Accuracy and Volume

Cleveland made 30 of 33 free throws, an impressive 91% conversion rate. Chicago made 12 of 17, or approximately 71%.

The Cavaliers scored 18 more points from the free-throw line than the Bulls. That difference was almost as large as the 22-point final margin.

Free-throw production reflects both opportunity and execution. The number of attempts indicates how often a team reached the line, while the percentage measures how well it converted those opportunities. Cleveland held the advantage in both areas.

The Bulls committed 21 team fouls compared with Cleveland’s 14. That difference provides context for the free-throw gap, although team fouls alone do not identify which specific fouls led to free throws or whether every foul had the same scoring consequence.

Rebounding: A Smaller Gap Than the Final Score Suggests

Cleveland collected 53 rebounds and Chicago collected 50. The three-rebound difference was relatively small compared with the 22-point final margin.

The Cavaliers also recorded 11 offensive rebounds and 42 defensive rebounds. Chicago recorded 10 offensive rebounds and 40 defensive rebounds. Cleveland therefore had a modest edge in both categories.

These figures suggest that rebounding contributed to Cleveland’s performance but was not the largest statistical difference between the teams. The stronger distinctions appeared in shooting percentages and free-throw scoring.

Assists and Turnovers: Chicago’s Numbers Were Competitive

Chicago recorded 32 assists, five more than Cleveland’s 27. The Bulls also committed seven turnovers, one fewer than the Cavaliers’ eight.

Those numbers complicate any explanation that attributes the loss simply to poor ball movement or excessive turnovers. Chicago distributed the ball effectively enough to record more assists, and both teams kept their turnover totals relatively low.

The outcome demonstrates why basketball statistics need to be evaluated together. A team can generate assists and protect the ball but still lose decisively if its opponents convert shots more efficiently and score more points from the perimeter and free-throw line.

Defensive Statistics: Steals and Blocks

Chicago recorded six steals and six blocks, compared with Cleveland’s four steals and four blocks. The Bulls therefore led both categories.

Steals and blocks are useful defensive measures, but neither captures every aspect of defense. A team can force turnovers or block shots and still struggle to prevent efficient scoring across the full game.

In this matchup, Chicago’s advantage in these two categories did not overcome Cleveland’s scoring efficiency. The numbers highlight a central principle of box-score analysis: individual statistical advantages do not always translate into a team victory.

Quarter-by-Quarter Score Breakdown

The scoring pattern changed substantially as the game progressed. Chicago led the first quarter, and the teams were level in the second quarter’s scoring. Cleveland then gained ground in the third before producing a major scoring advantage in the fourth.

Quarter	Cleveland Cavaliers	Chicago Bulls	Quarter Result
First Quarter	24	29	Chicago led by 5
Second Quarter	33	29	Cleveland gained 4
Third Quarter	39	36	Cleveland gained 3
Fourth Quarter	43	23	Cleveland gained 20
Final Score	139	117	Cleveland won by 22

First Quarter: Chicago Starts Ahead

Chicago scored 29 points in the opening quarter, while Cleveland scored 24. The Bulls established a five-point advantage and began the game with the stronger scoring output.

A first-quarter lead can provide momentum, but it does not determine the final outcome. The remaining three quarters gave Cleveland opportunities to improve its offensive production and change the direction of the game.

Second Quarter: Cleveland Reduces the Gap

Cleveland scored 33 points in the second quarter, compared with Chicago’s 29. The Cavaliers won the quarter by four points, reducing the effect of Chicago’s early lead.

The scoring pattern shows that Cleveland responded before halftime rather than waiting until the final period. That gradual improvement became more significant after the teams returned for the second half.

Third Quarter: The Cavaliers Continue to Gain Ground

Cleveland scored 39 points in the third quarter, while Chicago scored 36. The Cavaliers added another three points to their advantage.

By this stage, Cleveland had produced two consecutive quarters in which it outscored Chicago. The gap was still manageable, but the scoring direction favored the visiting team.

Fourth Quarter: Cleveland Creates Separation

The decisive statistical shift came in the fourth quarter. Cleveland scored 43 points, while Chicago managed 23. A 20-point difference in a single quarter transformed the game into a convincing Cavaliers victory.

The final period is the clearest evidence of Cleveland’s ability to sustain its offense late in the contest. However, the quarter totals alone do not reveal exactly which lineup combinations, defensive adjustments, or individual plays created the difference. Those explanations would require play-by-play data or video review.

The responsible conclusion is that Cleveland’s fourth-quarter scoring surge was decisive in the final margin, while the precise causes of that surge require more detailed evidence.

How Cleveland Built a 22-Point Victory

Several statistical factors worked together to produce Cleveland’s win. No single number fully explains the result, but the combination provides a clear picture.

1. Better Three-Point Conversion

Cleveland made six more three-pointers than Chicago. The resulting 18-point difference in three-point scoring accounted for a large portion of the final margin.

The Cavaliers also converted a higher percentage of their attempts. This made their perimeter offense more productive despite attempting only four more three-pointers than the Bulls.

2. Superior Free-Throw Production

Cleveland made 30 free throws compared with Chicago’s 12. That 18-point difference gave the Cavaliers another substantial scoring advantage.

Their 91% free-throw percentage also meant they converted nearly all the opportunities recorded in the supplied statistics.

3. More Efficient Field-Goal Shooting

Chicago made one more field goal, but Cleveland’s field-goal percentage was three percentage points higher in the rounded figures. The Cavaliers achieved almost the same number of makes on fewer attempts.

This is an important distinction for anyone comparing team performance. Counting successful shots without considering attempts can conceal differences in efficiency.

4. A Stronger Fourth Quarter

Cleveland outscored Chicago 43-23 in the final period. That 20-point quarter advantage was almost the same size as the final 22-point margin.

The Cavaliers had already begun to recover from Chicago’s early lead, but the fourth quarter turned that developing advantage into a decisive result.

5. Contributions Across Multiple Roles

Mitchell’s 28 points, Allen’s 17 rebounds, Garland’s seven assists, and Jerome’s 16 points demonstrate that Cleveland received contributions in several statistical areas.

Chicago also had notable individual performances, including White’s 25 points, Collins’ 12 rebounds, Jones’ seven assists, and Horton-Tucker’s 22 points off the bench. The difference was not that Chicago lacked productive players. Rather, Cleveland combined its individual contributions with stronger overall shooting and free-throw results.

Starting Lineups and Bench Contributions

The supplied game information identifies the starting lineups for both teams. These details help readers understand the personnel involved, although a player’s inclusion in the starting lineup does not establish how many minutes they played or how effectively they performed.

Cleveland Cavaliers Starting Lineup

• De’Andre Hunter
• Jarrett Allen
• Donovan Mitchell
• Max Strus
• Darius Garland

Cleveland’s starting group included its leading scorer, leading rebounder, and assists leader. Mitchell, Allen, and Garland each supplied the highest reported team total in a different major statistical category.

The Cavaliers’ listed reserves included Dean Wade, Isaac Okoro, Tristan Thompson, Javonte Green, Ty Jerome, Sam Merrill, Jaylon Tyson, and Craig Porter Jr.

Jerome’s 16 points stand out among the reported reserve contributions. The available figures do not provide a complete scoring breakdown for every bench player, so additional individual totals should be verified before publication.

Chicago Bulls Starting Lineup

• Zach Collins
• Matas Buzelis
• Tre Jones
• Coby White
• Dalen Terry

Chicago’s starting lineup included White, who led the team with 25 points, and Jones, who tied White for the team lead with seven assists. Collins led the Bulls in rebounds with 12.

The listed reserves were Jalen Smith, E.J. Liddell, Emanuel Miller, Julian Phillips, Talen Horton-Tucker, Jevon Carter, and Jahmir Young.

Horton-Tucker’s 22 points were a major scoring contribution from the bench. His performance helped Chicago maintain offensive production beyond its starting group, even though the team ultimately lost by 22 points.

Why Bench Production Matters

Bench scoring can influence the rhythm of a game by helping a team maintain offensive output when starters leave the floor. However, bench totals alone do not reveal the full impact of reserve players.

A complete evaluation should consider minutes played, shooting efficiency, defensive contributions, turnovers, and plus-minus statistics. Without those details, the most reliable conclusion is that Jerome and Horton-Tucker were important reported scoring contributors for their respective teams.

What the Statistics Reveal About Both Teams

The game provides several useful lessons for readers who want to interpret basketball box scores more accurately.

High Assist Totals Do Not Guarantee a Win

Chicago recorded 32 assists, compared with Cleveland’s 27. Despite that advantage, the Bulls lost by 22 points.

The difference illustrates that assists measure a specific aspect of offensive play rather than overall offensive success. Passing can create good opportunities, but the shots still need to go in.

Rebounding Advantages Can Be Modest

Cleveland’s three-rebound advantage was much smaller than its scoring advantage. Allen’s 17 rebounds were an important individual achievement, but the overall rebounding totals were relatively close.

This makes it difficult to argue that rebounding alone determined the game. The broader statistical picture points more strongly toward shooting and free throws.

Three-Point Efficiency Can Change the Score Quickly

The Cavaliers’ six additional three-pointers generated 18 extra points from beyond the arc. In a high-scoring game, that difference can have a major effect on the final result.

The lesson is not that teams should always attempt more threes. It is that three-point volume must be assessed alongside conversion rate and the other ways teams generate points.

The Final Quarter Deserves Special Attention

Cleveland’s 43-point fourth quarter was the defining scoring period. Looking only at the final score would hide how much the game changed late.

Quarter-by-quarter data is useful because it separates a close contest from one in which a team builds its advantage gradually or produces a late surge. In this case, Cleveland improved its position across the second and third quarters before creating a large gap in the fourth.

How to Read a Basketball Player Statistics Table

For readers comparing individual performances, several basic steps can make a box score more useful.

Start with points, but do not stop there. Points identify scoring production, while field-goal attempts and percentages help explain efficiency.

Compare shooting categories separately. Two-point shots, three-pointers, and free throws have different values. A player who scores from the perimeter may produce a different statistical profile from one who earns points near the basket.

Look at rebounds and assists. Rebounds show how often a player secures the ball after a missed shot. Assists indicate credited passes that directly lead to made baskets under the official scoring rules.

Check turnovers and defensive statistics. Turnovers indicate lost possessions. Steals and blocks reveal some defensive contributions but should not be treated as complete measures of defensive ability.

Consider playing time. A player who scores 16 points in limited minutes may have a different impact from one who needs substantially more playing time to reach the same total. Minutes and efficiency statistics are needed to make that comparison fairly.

Use the game context. Score margin, quarter results, team shooting, and opponent performance all help explain individual numbers. The most useful analysis connects the player statistics to what happened during the game without assuming that one figure tells the entire story.

For the March 5 contest, this method points to Mitchell’s scoring, Allen’s rebounding, Garland’s playmaking, and the Cavaliers’ overall shooting as key elements of the result.

Official Sources and Statistical Accuracy

The supplied game data identifies ESPN as the source for the box score and provides links to the original game materials.

For a direct record of the matchup, consult the ESPN Cavaliers vs Bulls box score. It is the most relevant reference for checking individual player statistics, team totals, and the final score.

The box score should be treated as the primary reference when verifying exact numbers. In particular, individual shooting splits, minutes played, personal fouls, plus-minus figures, and complete player-by-player totals should not be inferred from the team summary.

This distinction matters because a trustworthy statistical article should separate confirmed data from interpretation. The final score and supplied team totals support the conclusions about shooting and free throws, while explanations about specific tactical adjustments would require play-by-play evidence or game footage.

Frequently Asked Questions

1. Who won the Cleveland Cavaliers vs Chicago Bulls game on March 5, 2025?

The Cleveland Cavaliers defeated the Chicago Bulls 139-117 at the United Center in Chicago. Cleveland won by 22 points.

2. Who scored the most points in the game?

Donovan Mitchell led all reported scorers with 28 points for Cleveland. Coby White was Chicago’s leading scorer with 25 points.

3. Which player recorded the most rebounds?

Jarrett Allen led the game with 17 rebounds for Cleveland. Zach Collins led Chicago with 12 rebounds.

4. How many assists did Darius Garland record?

Garland recorded seven assists for Cleveland. Chicago’s Tre Jones and Coby White also recorded seven assists each.

5. Why did Cleveland beat Chicago by 22 points?

Cleveland benefited from more efficient shooting, six additional three-pointers, and 18 more made free throws. The Cavaliers also outscored the Bulls 43-23 in the fourth quarter.

6. Where can readers find the official player statistics?

The ESPN box score provides the game record and the player-by-player statistics for the March 5, 2025 matchup. Readers should consult that source for detailed individual totals and shooting splits.

Conclusion

The Cleveland Cavaliers’ 139-117 win over the Chicago Bulls was built on efficient shooting, strong free-throw production, and a decisive fourth-quarter performance. Donovan Mitchell led Cleveland with 28 points, Jarrett Allen collected 17 rebounds, and Darius Garland recorded seven assists. Chicago received strong contributions from Coby White, Zach Collins, Tre Jones, and Talen Horton-Tucker, but its lower three-point and free-throw production made it difficult to match Cleveland’s scoring.

The team statistics also show why a complete box-score analysis is more useful than focusing on points alone. Chicago recorded more field goals and assists, along with more steals and blocks, yet Cleveland converted its scoring opportunities more efficiently. The Cavaliers’ six additional three-pointers, 18-point advantage at the free-throw line, and 20-point fourth-quarter edge explain much of the final difference.

For anyone reviewing this matchup, the key takeaway is that winning basketball often depends on how efficiently a team turns possessions into points. Individual stars matter, but shooting accuracy, supporting contributions, and quarter-by-quarter execution provide the fuller picture of a team’s performance.