Toronto Raptors vs Celtics Match Player Stats

The toronto raptors vs celtics match player stats from January 16, 2025, reveal how Toronto delivered a convincing 110-97 victory over Boston at Scotiabank Arena. The Raptors combined efficient shooting, excellent ball movement, and strong rebounding to defeat a Celtics team that struggled to convert its offensive opportunities consistently. RJ Barrett led Toronto with 22 points and 10 rebounds, while Scottie Barnes contributed 18 points and nine assists. Jakob Poeltl added an efficient 16-point performance, and Davion Mitchell provided important defensive pressure and playmaking.

For Boston, Kristaps Porzingis finished with 18 points, while Payton Pritchard scored 20 points off the bench. Jayson Tatum recorded a double-double with 16 points and 10 rebounds, but the Celtics could not overcome Toronto’s balanced offensive production and impressive second-half execution.

This detailed statistical breakdown examines the complete player performances, team shooting numbers, quarter-by-quarter scoring, individual contributions, and tactical factors that influenced the result. It also explains which performances mattered most and what the numbers reveal about the matchup.

Toronto Raptors vs Celtics Match Player Stats: Game Overview

The January 16 meeting between Toronto and Boston produced a result that highlighted the importance of efficient offense and collective execution.

Boston entered the game with a 28-12 record, including an impressive 14-5 record away from home. Toronto, meanwhile, had struggled throughout the season and entered the matchup with a 10-31 overall record.

Despite the difference in standings, the Raptors controlled important statistical categories and ultimately earned a 13-point victory.

Match Information

Match Detail	Information
Game	Toronto Raptors vs Boston Celtics
Date	January 16, 2025
Venue	Scotiabank Arena
Location	Toronto, Ontario
Attendance	18,566
Final Score	Raptors 110, Celtics 97
Winning Team	Toronto Raptors
Losing Team	Boston Celtics
Celtics Record Before Game	28-12
Raptors Record Before Game	10-31
Celtics Away Record	14-5
Raptors Home Record	9-13
Official Game ID	401705128

The final score reflected Toronto’s ability to maintain offensive production throughout the contest.

Boston scored 97 points, but its shooting efficiency and late-game scoring declined. Toronto finished with 110 points after producing stronger offensive performances during the second and third quarters.

The Raptors also generated more assists and rebounds, demonstrating that their victory was not simply the result of one player dominating the scoring.

Final Score by Quarter

Quarter	Boston Celtics	Toronto Raptors
First Quarter	29	25
Second Quarter	24	30
Third Quarter	29	33
Fourth Quarter	15	22
Final Score	97	110

Boston opened with a four-point advantage after the first quarter.

Toronto responded by scoring 30 points in the second quarter, taking control of the game before halftime. The Raptors continued their offensive momentum in the third quarter, scoring another 33 points.

The fourth quarter became particularly important because Boston managed only 15 points.

Toronto scored 22 during the same period, extending its advantage and preventing the Celtics from establishing a meaningful comeback.

The final quarter demonstrated the difference between maintaining offensive pressure and allowing scoring opportunities to disappear.

Complete Toronto Raptors Player Stats

Toronto’s offensive production was distributed across its starting lineup and bench.

RJ Barrett led the team in scoring, while Scottie Barnes created opportunities for teammates. Jakob Poeltl provided an efficient interior scoring presence, and Davion Mitchell contributed valuable defensive activity.

The following table contains the recorded player statistics from the game.

Raptors Starting Lineup Statistics

Player	MIN	PTS	FG	3PT	FT	REB	AST	TO	STL	BLK	+/-
RJ Barrett	36	22	10-18	1-5	1-4	10	8	2	1	1	+8
Scottie Barnes	36	18	8-16	1-5	1-2	3	9	2	1	2	+11
Jakob Poeltl	31	16	8-8	0-0	0-0	11	2	0	0	1	+7
Davion Mitchell	26	10	4-6	2-2	0-1	4	5	1	2	0	+16
Gradey Dick	25	12	4-9	2-6	2-2	3	4	1	0	0	+5

MIN: Minutes played. PTS: Points. FG: Field goals made and attempted. 3PT: Three-pointers made and attempted. FT: Free throws made and attempted. REB: Rebounds. AST: Assists. TO: Turnovers. STL: Steals. BLK: Blocks. +/-: Point differential while the player was on the court.

Raptors Bench Player Statistics

Player	MIN	PTS	FG	3PT	FT	REB	AST	TO	+/-
Kelly Olynyk	17	7	1-3	1-1	4-4	3	4	0	+6
Chris Boucher	17	5	2-7	1-4	0-0	9	0	1	+13
Jamison Battle	4	0	0-2	0-2	0-0	2	1	0	+4
Bruce Brown	21	7	3-9	0-2	1-2	7	0	0	+2
Ochai Agbaji	12	5	2-5	1-3	0-0	4	1	0	-9
Jamal Shead	15	8	3-6	2-4	0-0	0	1	3	+2
Garrett Temple	DNP	0	0-0	0-0	0-0	0	0	0	N/A

Garrett Temple did not play because of the coach’s decision.

Toronto’s bench contributed 32 points, giving the starting lineup additional support throughout the game.

Kelly Olynyk provided seven points and four assists. Chris Boucher collected nine rebounds, while Bruce Brown contributed seven points and seven rebounds.

Jamal Shead added eight points, including two three-pointers.

The bench production helped Toronto maintain its offensive rhythm without requiring its starters to account for every scoring opportunity.

Complete Boston Celtics Player Stats

Boston’s statistical performance featured several productive individual contributions, but the team struggled to translate those performances into an effective offensive game.

Kristaps Porzingis scored 18 points, Jayson Tatum recorded a double-double, and Payton Pritchard led the bench with 20 points.

However, several important starters experienced shooting difficulties.

Celtics Starting Lineup Statistics

Player	MIN	PTS	FG	3PT	FT	REB	AST	TO	STL	BLK	+/-
Jayson Tatum	36	16	5-15	3-9	3-5	10	7	1	0	1	-1
Kristaps Porzingis	35	18	7-11	4-5	0-2	8	3	3	1	2	-17
Jrue Holiday	31	12	5-11	0-3	2-2	6	2	1	1	0	-13
Derrick White	21	6	2-9	1-7	1-2	0	1	2	0	0	-29
Jaylen Brown	33	10	4-16	1-1	1-2	7	4	2	1	0	-23

The Celtics’ starting lineup produced 62 points.

Porzingis was the most efficient scorer among the starters, converting seven of his 11 field-goal attempts.

Tatum contributed 16 points and 10 rebounds, while Holiday added 12 points.

Brown finished with 10 points and seven rebounds.

Derrick White scored six points in 21 minutes, shooting 2-for-9 from the field and 1-for-7 from three-point range.

The starting lineup’s combined shooting difficulties created an important challenge for Boston.

Celtics Bench Player Statistics

Player	MIN	PTS	FG	3PT	FT	REB	AST	TO	STL	BLK	+/-
Sam Hauser	17	3	1-6	1-5	0-0	6	0	0	2	0	0
Xavier Tillman	1	0	0-0	0-0	0-0	1	0	0	0	0	+1
Al Horford	21	10	4-10	2-8	0-0	2	2	0	0	4	+1
Luke Kornet	10	2	1-2	0-0	0-0	3	1	0	0	1	+7
Neemias Queta	1	0	0-0	0-0	0-0	0	0	0	0	0	+1
Payton Pritchard	31	20	7-11	4-8	2-3	2	4	0	1	0	+6
Jaden Springer	1	0	0-0	0-0	0-2	0	0	0	0	0	+1
Jordan Walsh	1	0	0-0	0-0	0-0	0	0	0	0	0	+1

Boston’s bench supplied 35 points.

Pritchard was the standout reserve, scoring 20 points and recording four assists without committing a turnover.

Horford contributed 10 points and four blocks.

The Celtics’ reserves provided useful scoring, but their production could not overcome the team’s overall shooting efficiency and Toronto’s strong offensive performance.

Toronto Raptors vs Celtics Match Player Stats: Team Comparison

The most revealing part of this matchup is the comparison between the two teams’ overall statistical profiles.

Toronto did not win because it dominated every category.

Instead, the Raptors performed better in several important areas, particularly field-goal efficiency, rebounding, and assists.

Complete Team Statistics

Statistical Category	Toronto Raptors	Boston Celtics
Points	110	97
Field Goals	45-89	36-91
Field-Goal Percentage	51%	40%
Three-Pointers	11-34	16-46
Three-Point Percentage	32%	35%
Free Throws	9-15	9-18
Free-Throw Percentage	60%	50%
Total Rebounds	56	45
Offensive Rebounds	13	13
Defensive Rebounds	43	32
Assists	35	24
Turnovers	10	9
Steals	4	6
Blocks	4	8
Personal Fouls	19	16

These statistics reveal several important differences.

Toronto made nine more field goals than Boston.

The Raptors also recorded 11 more assists and collected 11 additional rebounds.

Boston made five more three-pointers, but Toronto’s advantage inside the arc and overall field-goal efficiency proved more important.

The Celtics also recorded more steals and blocks, yet those defensive statistics did not translate into a victory.

Why Toronto’s Field-Goal Percentage Mattered

Toronto converted 45 of its 89 field-goal attempts.

Boston converted 36 of its 91 attempts.

That difference represents nine additional made shots for Toronto.

The Raptors finished with a field-goal percentage of approximately 50.6%, while Boston shot approximately 39.6%.

The percentage difference was substantial.

Toronto’s advantage was particularly important because the Raptors did not rely exclusively on three-point shooting.

They made 34 two-point field goals, compared with Boston’s 20.

That gave Toronto a much stronger foundation for its offense.

Boston’s 16 three-pointers helped keep the team competitive, but its limited two-point production restricted its overall scoring potential.

Rebounding: Toronto Controlled the Glass

Toronto finished with 56 rebounds.

Boston collected 45.

The Raptors recorded 43 defensive rebounds, compared with Boston’s 32.

Both teams collected 13 offensive rebounds.

This distinction is important.

Toronto did not gain its rebounding advantage by collecting more offensive rebounds.

Instead, the Raptors were more successful at securing defensive rebounds after Boston’s missed shots.

Defensive rebounding helps a team finish possessions and reduce the opponent’s opportunities for additional scoring.

Toronto’s 43 defensive rebounds provided an important foundation for its transition offense.

Jakob Poeltl led the Raptors with 11 rebounds.

RJ Barrett also collected 10.

Chris Boucher added nine rebounds off the bench.

Boston’s Tatum recorded 10 rebounds, while Porzingis collected eight.

Although the Celtics had capable rebounders, Toronto’s collective production was stronger.

Assists: The Difference Between Individual Scoring and Team Offense

Toronto recorded 35 assists.

Boston recorded 24.

That 11-assist difference provides one of the clearest explanations for the final result.

The Raptors averaged more than 3.5 assists for every four field goals made.

Boston’s assist total was considerably lower relative to its field-goal production.

Toronto’s offensive distribution suggests that the team created more opportunities through passing and movement.

Barnes recorded nine assists.

Barrett contributed eight.

Mitchell added five.

Dick and Olynyk each recorded four.

This distribution demonstrates that Toronto’s offense did not depend on a single playmaker.

Several players contributed to the creation of scoring opportunities.

Boston’s Tatum and Brown combined for 11 assists, while Pritchard added four.

The Celtics still produced useful playmaking, but Toronto’s collective passing was more effective.

Turnovers: Why Ball Security Was Not the Main Difference

Toronto committed 10 turnovers.

Boston committed nine.

The Celtics therefore had a slight advantage in ball security.

However, the difference was only one turnover.

That was not enough to compensate for Toronto’s advantages in shooting, rebounding, and assists.

The Raptors’ offensive efficiency remained strong despite their 10 turnovers.

This is an important analytical point.

A team does not automatically win because it commits fewer turnovers.

The value of each possession also depends on how effectively a team converts its opportunities into points.

Toronto produced considerably more successful field-goal attempts.

That efficiency outweighed the small difference in turnovers.

RJ Barrett Player Performance: Toronto’s Leading Scorer

RJ Barrett was Toronto’s leading scorer with 22 points.

He also collected 10 rebounds and recorded eight assists.

His performance combined scoring, rebounding, and playmaking.

Barrett played 36 minutes and converted 10 of his 18 field-goal attempts.

That gave him a field-goal percentage of 55.6%.

He also recorded one steal and one block.

Barrett’s Statistical Breakdown

Category	Performance
Minutes	36
Points	22
Field Goals	10-18
Three-Pointers	1-5
Free Throws	1-4
Rebounds	10
Assists	8
Turnovers	2
Steals	1
Blocks	1
Plus/Minus	+8

Barrett’s scoring efficiency was particularly important.

He made 10 field goals, matching the number of field goals converted by the entire Celtics starting lineup except Porzingis, who made seven.

His 22 points represented 20% of Toronto’s total scoring.

However, his value extended beyond points.

The eight assists demonstrated his ability to create opportunities for teammates.

His 10 rebounds also helped Toronto control the glass.

Barrett’s performance was a strong example of how a versatile offensive player can influence a game without relying exclusively on scoring.

What Made Barrett’s Performance Important?

Barrett’s ability to score efficiently helped Toronto avoid becoming overly dependent on outside shooting.

He converted opportunities near the basket and maintained offensive pressure.

His playmaking also helped Barnes, Poeltl, and Dick find scoring opportunities.

The combination of 22 points, 10 rebounds, and eight assists gave Toronto a reliable offensive foundation.

His plus/minus of +8 indicated that Toronto outscored Boston by eight points during his minutes on the court.

Although plus/minus is influenced by teammates and lineup combinations, it supports the conclusion that Barrett contributed positively to the overall result.

Scottie Barnes Player Stats: Playmaking and Defensive Versatility

Scottie Barnes finished with 18 points, nine assists, and three rebounds.

He also recorded two steals and two blocks.

Barnes played 36 minutes and converted eight of his 16 field-goal attempts.

His performance was particularly valuable because he combined offensive creation with defensive activity.

Barnes’ Complete Statistics

Category	Performance
Minutes	36
Points	18
Field Goals	8-16
Three-Pointers	1-5
Free Throws	1-2
Rebounds	3
Assists	9
Turnovers	2
Steals	1
Blocks	2
Plus/Minus	+11

Barnes’ nine assists were the second-highest individual total in the game.

His playmaking helped Toronto maintain offensive balance.

Instead of forcing difficult shots, Barnes created opportunities for teammates.

His 18 points also ensured that Boston could not focus exclusively on stopping Barrett.

Barnes and Toronto’s Offensive Structure

Toronto’s offense benefited from having multiple players capable of creating scoring opportunities.

Barnes operated as a primary playmaker.

Barrett provided scoring and secondary creation.

Mitchell added additional ball movement.

Poeltl offered an efficient interior scoring option.

This combination made Toronto’s offense more difficult to defend.

Barnes’ two blocks and one steal also demonstrated his defensive contribution.

The Raptors did not need him to dominate every statistical category.

His value came from combining several different responsibilities.

Jakob Poeltl Player Stats: Perfect Shooting and Interior Control

Jakob Poeltl produced one of the most efficient individual performances of the game.

He scored 16 points while making all eight of his field-goal attempts.

He also collected 11 rebounds.

Poeltl’s Statistical Breakdown

Category	Performance
Minutes	31
Points	16
Field Goals	8-8
Three-Pointers	0-0
Free Throws	0-0
Rebounds	11
Assists	2
Turnovers	0
Blocks	1
Plus/Minus	+7

Poeltl’s field-goal percentage was 100%.

However, the context matters.

He attempted eight shots, not 20 or 25.

His performance demonstrates excellent finishing efficiency rather than high-volume scoring dominance.

Every successful field-goal attempt contributed to Toronto’s ability to maintain its offensive advantage.

Why Poeltl’s Efficiency Was Significant

Boston had several capable frontcourt defenders.

Porzingis recorded two blocks, while Horford collected four.

Despite that defensive activity, Poeltl consistently converted his opportunities.

His 11 rebounds also helped Toronto secure defensive possessions.

The Raptors benefited from having a center who could finish efficiently without requiring numerous offensive possessions.

Poeltl’s zero turnovers further strengthened his performance.

He provided Toronto with reliable interior production while allowing Barnes and Barrett to remain primary offensive creators.

Davion Mitchell Player Stats: Defensive Pressure and Efficient Scoring

Davion Mitchell contributed 10 points, five assists, and four rebounds.

He also recorded two steals.

Mitchell played 26 minutes and converted four of his six field-goal attempts.

He made both of his three-point attempts.

Mitchell’s Complete Statistics

Category	Performance
Minutes	26
Points	10
Field Goals	4-6
Three-Pointers	2-2
Free Throws	0-1
Rebounds	4
Assists	5
Turnovers	1
Steals	2
Plus/Minus	+16

Mitchell’s 66.7% field-goal percentage was among Toronto’s strongest individual shooting performances.

His perfect three-point shooting also provided valuable spacing.

The Raptors benefited from his ability to contribute offensively without requiring a large number of attempts.

Mitchell’s Defensive Contribution

Mitchell recorded two steals.

His defensive activity helped Toronto disrupt Boston’s offensive rhythm.

He also finished with a plus/minus of +16, the highest among Toronto’s starters.

That figure indicates that Toronto outscored Boston by 16 points during his minutes.

Although plus/minus does not isolate an individual player’s impact, Mitchell’s combination of shooting efficiency, assists, and defensive activity made his contribution particularly valuable.

Gradey Dick Player Stats: Supporting the Raptors’ Offense

Gradey Dick finished with 12 points, three rebounds, and four assists.

He played 25 minutes.

His shooting performance included two three-pointers.

Dick’s Statistical Breakdown

Category	Performance
Minutes	25
Points	12
Field Goals	4-9
Three-Pointers	2-6
Free Throws	2-2
Rebounds	3
Assists	4
Turnovers	1
Plus/Minus	+5

Dick converted 44.4% of his field-goal attempts.

His three-point percentage was 33.3%.

Although his shooting was not as efficient as Poeltl’s or Mitchell’s, he provided valuable perimeter scoring.

His four assists also demonstrated that he contributed to Toronto’s passing game.

The Raptors benefited from having another player capable of creating scoring opportunities.

Payton Pritchard Player Stats: Boston’s Leading Scorer

Payton Pritchard was Boston’s leading scorer with 20 points.

He played 31 minutes and made seven of his 11 field-goal attempts.

He also converted four three-pointers.

Pritchard’s Complete Statistics

Category	Performance
Minutes	31
Points	20
Field Goals	7-11
Three-Pointers	4-8
Free Throws	2-3
Rebounds	2
Assists	4
Turnovers	0
Steals	1
Plus/Minus	+6

Pritchard’s field-goal percentage was 63.6%.

His three-point percentage was 50%.

He also recorded four assists without committing a turnover.

These numbers demonstrate that Pritchard was highly effective offensively.

Why Pritchard’s Performance Stands Out

Pritchard scored more points than every Boston starter except Porzingis.

He also recorded more points than Tatum, Brown, Holiday, and White individually.

His four three-pointers provided Boston with an important scoring source.

However, the Celtics needed additional production from their starting lineup.

Pritchard’s efficient performance could not compensate for the team’s overall field-goal percentage.

His plus/minus of +6 also indicates that Boston performed better during his minutes than during several other lineup combinations.

That does not mean Pritchard was solely responsible for the difference.

It does, however, highlight the importance of his contribution.

Kristaps Porzingis Player Stats: Efficient Scoring Against Toronto

Kristaps Porzingis finished with 18 points and eight rebounds.

He was Boston’s leading scorer among starters.

Porzingis’ Statistical Breakdown

Category	Performance
Minutes	35
Points	18
Field Goals	7-11
Three-Pointers	4-5
Free Throws	0-2
Rebounds	8
Assists	3
Turnovers	3
Steals	1
Blocks	2
Plus/Minus	-17

Porzingis converted 63.6% of his field-goal attempts.

He also made 80% of his three-point attempts.

His four three-pointers tied Pritchard for the highest individual total on Boston.

Despite his efficient scoring, Porzingis finished with a plus/minus of -17.

Toronto outscored Boston by 17 points during his minutes.

That figure highlights the difference between individual shooting efficiency and overall lineup performance.

Porzingis contributed valuable offense, but Toronto’s collective execution was stronger.

Jayson Tatum Player Stats: Double-Double in a Losing Effort

Jayson Tatum finished with 16 points and 10 rebounds.

He also recorded seven assists.

Tatum’s Complete Statistics

Category	Performance
Minutes	36
Points	16
Field Goals	5-15
Three-Pointers	3-9
Free Throws	3-5
Rebounds	10
Assists	7
Turnovers	1
Blocks	1
Plus/Minus	-1

Tatum’s double-double demonstrated his ability to contribute across several categories.

His 10 rebounds were tied with Barrett for the game-high among the recorded individual performances.

He also provided seven assists.

However, his field-goal percentage was 33.3%.

That shooting efficiency limited his scoring production.

Tatum converted three three-pointers, but his overall field-goal attempts did not produce the same efficiency as Toronto’s leading players.

Tatum’s Impact Beyond Scoring

Tatum’s seven assists helped Boston maintain offensive movement.

His 10 rebounds also contributed to the Celtics’ overall rebounding total.

However, Boston needed more efficient scoring from its primary offensive players.

Tatum’s 16 points were respectable in isolation, but the Celtics struggled to convert enough field-goal attempts as a team.

His plus/minus of -1 was the closest among Boston’s starters to a neutral result.

This suggests that Boston’s performance during his minutes was considerably better than during several other starting lineup combinations.

Jaylen Brown Player Stats: Scoring Challenges and Rebounding

Jaylen Brown finished with 10 points and seven rebounds.

He played 33 minutes.

Brown’s Statistical Breakdown

Category	Performance
Minutes	33
Points	10
Field Goals	4-16
Three-Pointers	1-1
Free Throws	1-2
Rebounds	7
Assists	4
Turnovers	2
Steals	1
Plus/Minus	-23

Brown converted 25% of his field-goal attempts.

His one three-point attempt was successful.

He also recorded four assists and seven rebounds.

The main challenge was his overall shooting efficiency.

Boston needed more scoring from its starting lineup to match Toronto’s production.

Brown’s 10 points were considerably lower than Barrett’s 22.

His plus/minus of -23 also reflected the Celtics’ struggles during his minutes.

However, plus/minus should not be interpreted as a complete measure of individual performance.

It reflects the overall scoring difference while a player is on the court.

Derrick White Player Stats: A Difficult Shooting Performance

Derrick White finished with six points.

He played 21 minutes.

White’s Statistical Breakdown

Category	Performance
Minutes	21
Points	6
Field Goals	2-9
Three-Pointers	1-7
Free Throws	1-2
Rebounds	0
Assists	1
Turnovers	2
Plus/Minus	-29

White’s field-goal percentage was 22.2%.

His three-point percentage was 14.3%.

He struggled to convert his attempts.

White’s plus/minus of -29 was the lowest among the recorded players.

That means Boston was outscored by 29 points during his minutes.

The number does not establish that White personally caused the entire scoring difference.

However, it reflects how difficult Boston’s lineup combinations performed during that period.

Toronto Raptors Bench Analysis

Toronto’s bench helped maintain offensive production.

The reserves combined for 32 points.

This contribution was particularly important because Toronto’s starters already carried significant responsibilities.

Kelly Olynyk

Olynyk finished with seven points, three rebounds, and four assists.

He made one three-pointer and converted all four of his free throws.

His four assists provided additional playmaking.

Olynyk’s ability to contribute as a passing big man helped Toronto maintain offensive movement.

Chris Boucher

Boucher recorded five points and nine rebounds.

He played 17 minutes.

His nine rebounds were particularly valuable because Toronto needed to maintain its advantage on the glass.

Boucher also finished with a plus/minus of +13.

That was the highest among Toronto’s recorded bench players.

Bruce Brown

Brown scored seven points and collected seven rebounds.

He played 21 minutes.

His four offensive rebounds were particularly important.

Brown’s contribution helped Toronto create additional scoring opportunities.

Although he did not record an assist, his rebounding and physical activity provided useful support.

Jamal Shead

Shead scored eight points in 15 minutes.

He made two three-pointers.

However, he also committed three turnovers.

His offensive contribution was useful, but the turnovers represented an area where Toronto could have improved.

Boston Celtics Bench Analysis

Boston’s bench produced 35 points.

The reserves helped maintain scoring opportunities, but the team’s overall shooting performance remained a challenge.

Al Horford

Horford scored 10 points and recorded four blocks.

He played 21 minutes.

His defensive activity helped Boston protect the basket.

Horford also made two three-pointers.

However, he attempted eight three-pointers and converted two.

His offensive production was useful, but Boston needed more consistent shooting across the lineup.

Sam Hauser

Hauser finished with three points and six rebounds.

He made one three-pointer.

His two steals also contributed to Boston’s defensive activity.

However, he converted only one of his six field-goal attempts.

Luke Kornet

Kornet scored two points and collected three rebounds.

He also recorded one assist and one block.

His seven minutes of positive plus/minus reflected a productive stretch for Boston’s lineup.

Bench Comparison

Category	Raptors Bench	Celtics Bench
Points	32	35
Rebounds	28	14
Assists	7	8
Recorded Turnovers	4	0
Highest Scoring Bench Player	Jamal Shead, 8 points	Payton Pritchard, 20 points

Boston’s bench scored three more points.

Toronto’s bench collected considerably more rebounds.

The recorded reserve statistics show that Boston benefited from stronger bench scoring, while Toronto received more rebounding support.

The bench comparison also demonstrates why scoring totals alone do not fully explain a basketball game.

Toronto Raptors vs Celtics Match Player Stats: Shooting Efficiency Explained

Shooting efficiency was one of the most important statistical differences in this matchup.

Toronto converted 45 field goals.

Boston converted 36.

The Raptors also recorded a higher field-goal percentage.

Field-Goal Efficiency

Team	Made	Attempted	Percentage
Toronto Raptors	45	89	50.6%
Boston Celtics	36	91	39.6%

Toronto made approximately 50.6% of its field-goal attempts.

Boston made approximately 39.6%.

The difference was 11 percentage points.

This was a substantial advantage.

The Raptors also attempted two fewer field goals.

That means Toronto did not need additional attempts to generate its scoring advantage.

Instead, the team converted a greater proportion of its opportunities.

Three-Point Shooting

Team	Made	Attempted	Percentage
Toronto Raptors	11	34	32.4%
Boston Celtics	16	46	34.8%

Boston made five more three-pointers.

The Celtics also attempted 12 more three-point shots.

Their three-point percentage was approximately 2.4 percentage points higher.

However, Boston’s increased three-point volume did not overcome its lower overall field-goal efficiency.

Toronto’s success came from a more balanced scoring profile.

The Raptors made 34 two-point field goals.

Boston made 20.

That difference was particularly important.

Free-Throw Shooting

Team	Made	Attempted	Percentage
Toronto Raptors	9	15	60.0%
Boston Celtics	9	18	50.0%

Both teams made nine free throws.

Boston attempted three additional free throws.

However, the Celtics converted only half of their attempts.

Toronto converted 60%.

Neither team produced a particularly strong free-throw performance.

The difference was relatively small compared with the field-goal advantage.

How Toronto Won the Game

Toronto’s victory can be explained through several interconnected factors.

1. More Efficient Field-Goal Conversion

Toronto made 45 field goals.

Boston made 36.

The Raptors’ 51% shooting rounded to the reported team percentage.

Boston’s shooting percentage was approximately 40%.

The difference allowed Toronto to generate more points without requiring a significantly greater number of attempts.

2. Stronger Interior Scoring

Toronto made 34 two-point field goals.

Boston made 20.

Poeltl’s perfect shooting performance contributed to Toronto’s interior production.

Barrett also converted 10 field goals.

The Raptors’ ability to score inside reduced their dependence on three-point shooting.

3. Better Rebounding

Toronto recorded 56 rebounds.

Boston recorded 45.

The Raptors also collected 43 defensive rebounds.

This helped the team finish defensive possessions and reduce Boston’s opportunities for additional shots.

4. More Effective Passing

Toronto recorded 35 assists.

Boston recorded 24.

The difference suggests that Toronto generated more scoring opportunities through collective offensive movement.

Barnes, Barrett, Mitchell, and Dick all contributed to the team’s passing.

5. Strong Second-Half Execution

Toronto scored 33 points in the third quarter.

Boston scored 29.

The Raptors then maintained their advantage in the fourth quarter.

Toronto scored 22 points.

Boston managed 15.

The final quarter was particularly important because Boston could not maintain its earlier offensive production.

6. Balanced Scoring

Toronto had five starters score at least 10 points.

Barrett led with 22.

Barnes scored 18.

Poeltl added 16.

Dick scored 12.

Mitchell contributed 10.

This distribution prevented Boston from focusing exclusively on one scorer.

The Raptors also received useful contributions from several bench players.

Why Boston Lost Despite Making More Three-Pointers

Boston’s 16 three-pointers were five more than Toronto’s 11.

However, three-point shooting was only one part of the game.

The Celtics made 36 field goals.

Toronto made 45.

Boston therefore converted fewer overall field-goal attempts.

The Celtics also collected fewer rebounds and recorded fewer assists.

These differences affected the team’s ability to generate consistent offensive production.

Boston’s Starting Lineup Needed Greater Efficiency

The Celtics’ starting lineup scored 62 points.

Toronto’s starting lineup scored 78.

The difference was 16 points.

Boston’s reserves scored 35 points, compared with Toronto’s 32.

However, the starting lineup difference was considerably larger than the bench scoring difference.

That helps explain why Boston could receive a productive performance from Pritchard and still lose.

The Fourth Quarter Was Decisive

Boston scored only 15 points in the fourth quarter.

Toronto scored 22.

The seven-point quarter difference was important because Toronto entered the final period with an advantage and extended it.

Boston needed to improve its scoring efficiency.

Instead, the Celtics struggled to generate enough points.

The result was a 13-point defeat.

Previous Meetings and the 2024-25 Season Series

The January 16 game was part of the 2024-25 NBA regular-season series between Toronto and Boston.

The teams had already met twice.

Season Series Results

Game	Date	Result
First Meeting	November 17, 2024	Raptors 126, Celtics 123, OT
Second Meeting	January 1, 2025	Celtics 125, Raptors 71
Third Meeting	January 16, 2025	Raptors 110, Celtics 97
Fourth Meeting	February 26, 2025	Celtics 111, Raptors 101

The supplied season-series data indicates that Boston led the series 2-1 after the January 16 game.

The fourth meeting subsequently gave Boston another victory.

The January 16 result was particularly notable because Toronto had suffered a substantial defeat earlier in the series.

The Raptors responded with a stronger offensive performance.

The January 1 game ended with Boston winning 125-71.

Toronto’s 110-97 victory on January 16 represented a 39-point improvement in its scoring total.

However, that comparison should be understood as a difference between the two game scores, not as proof that Toronto improved by a specific amount in every performance category.

The two games involved different circumstances and should be evaluated individually.

Understanding Plus/Minus in the Player Statistics

Plus/minus is one of the most frequently misunderstood basketball statistics.

It measures the difference between a team’s points scored and points allowed while a particular player is on the court.

For example, Davion Mitchell recorded +16.

That means Toronto outscored Boston by 16 points during his minutes.

Kristaps Porzingis recorded -17.

That means Boston was outscored by 17 points during his minutes.

The statistic does not directly measure individual scoring efficiency.

It also does not isolate a player’s contribution from teammates, opponents, substitutions, or lineup combinations.

Important Plus/Minus Results

Player	Team	Plus/Minus
Davion Mitchell	Raptors	+16
Chris Boucher	Raptors	+13
Scottie Barnes	Raptors	+11
RJ Barrett	Raptors	+8
Jakob Poeltl	Raptors	+7
Payton Pritchard	Celtics	+6
Derrick White	Celtics	-29
Jaylen Brown	Celtics	-23
Kristaps Porzingis	Celtics	-17
Jrue Holiday	Celtics	-13

Mitchell recorded the highest plus/minus among Toronto’s players.

Boucher also produced a strong positive figure despite scoring only five points.

Boston’s starting lineup experienced several negative plus/minus results.

However, those numbers should be used alongside shooting, assists, rebounds, turnovers, and defensive statistics.

A single plus/minus figure does not provide a complete explanation of a player’s performance.

Statistical Takeaways for Basketball Fans

The game provides several useful lessons for interpreting basketball box scores.

Efficient Scoring Can Outweigh Three-Point Volume

Boston made more three-pointers.

Toronto made more field goals overall.

The Raptors’ advantage came from converting a greater proportion of their attempts and producing more two-point field goals.

This demonstrates why three-point totals should not be evaluated independently of overall shooting efficiency.

Passing Creates More Opportunities

Toronto recorded 35 assists.

The Celtics recorded 24.

The Raptors’ passing distribution suggests that several players contributed to offensive creation.

A high assist total does not guarantee victory, but it can indicate that a team generated scoring opportunities through collective movement.

Rebounding Helps Finish Possessions

Toronto’s 56 rebounds helped the team control the glass.

The 43 defensive rebounds were especially important.

They limited Boston’s ability to create additional scoring opportunities after missed shots.

Bench Scoring Must Be Evaluated in Context

Boston’s bench scored more points.

Toronto’s bench collected more rebounds.

Neither statistic alone explains the entire game.

The starting lineup production, shooting efficiency, and defensive execution must also be considered.

Individual Efficiency Does Not Always Translate Into Team Success

Porzingis and Pritchard both shot efficiently.

However, Boston still lost.

The Celtics’ overall field-goal percentage remained considerably lower than Toronto’s.

The difference illustrates why individual shooting percentages and team results should be evaluated together.

Frequently Asked Questions

1. Who won the Toronto Raptors vs Boston Celtics game on January 16, 2025?

The Toronto Raptors defeated the Boston Celtics 110-97 at Scotiabank Arena in Toronto, Ontario.

2. Who was the leading scorer in the Raptors vs Celtics game?

RJ Barrett led Toronto with 22 points. Payton Pritchard was Boston’s leading scorer with 20 points.

3. How many points did Scottie Barnes score against Boston?

Scottie Barnes scored 18 points. He also recorded nine assists, three rebounds, one steal, and two blocks.

4. Did Jakob Poeltl record a double-double?

Yes. Jakob Poeltl recorded 16 points and 11 rebounds, completing a double-double. He also made all eight of his field-goal attempts.

5. How many three-pointers did Boston make?

Boston made 16 three-pointers from 46 attempts, shooting approximately 34.8% from beyond the arc.

6. What was the biggest statistical difference between Toronto and Boston?

Toronto’s strongest advantages were overall field-goal efficiency, rebounding, and assists. The Raptors shot approximately 51% from the field, collected 56 rebounds, and recorded 35 assists. Boston finished with approximately 40% shooting, 45 rebounds, and 24 assists.

Conclusion

The January 16, 2025, matchup between Toronto and Boston demonstrated how efficient shooting, rebounding, and collective playmaking can determine a basketball game’s outcome.

Toronto’s 110-97 victory was supported by several outstanding individual performances.

RJ Barrett led the Raptors with 22 points, 10 rebounds, and eight assists. Scottie Barnes recorded 18 points and nine assists. Jakob Poeltl delivered an efficient 16-point, 11-rebound double-double, while Davion Mitchell contributed 10 points, five assists, and two steals.

Boston received productive performances from Kristaps Porzingis, Payton Pritchard, and Jayson Tatum.

Porzingis scored 18 points, Pritchard added 20 points off the bench, and Tatum recorded a double-double with 16 points and 10 rebounds.

However, Toronto’s overall shooting efficiency and stronger rebounding performance proved decisive.

The Raptors made nine more field goals, collected 11 additional rebounds, and recorded 11 more assists.

Boston’s five additional three-pointers were not enough to overcome those differences.

The most important takeaway from this matchup is that Toronto’s balanced offensive production was more effective than Boston’s reliance on individual scoring performances and three-point volume.

For readers examining the toronto raptors vs celtics match player stats, the box score provides a clear example of how team efficiency, offensive distribution, and defensive rebounding can shape a result beyond the headline scoring numbers.