Portland Trail Blazers vs Celtics Match Player Stats

The portland trail blazers vs celtics match player stats from December 29, 2025, tell the story of a Portland team that used efficient shooting, strong rebounding, and balanced playmaking to defeat the Boston Celtics 114-108 at the Moda Center in Portland, Oregon. Shaedon Sharpe scored 26 points, Deni Avdija added 24 points and 10 assists, and Donovan Clingan controlled the glass with 18 rebounds. Boston received a remarkable 37-point performance from Jaylen Brown, but the Celtics could not overcome Portland’s advantage in total rebounds and assists.

The matchup offered a useful example of how individual scoring performances and overall team execution can produce different outcomes. Brown was the game’s leading scorer, yet Portland had more contributors involved in its offensive possessions. The Trail Blazers finished with 48 rebounds and 26 assists, compared with Boston’s 39 rebounds and 19 assists. Those differences helped Portland create additional scoring opportunities and maintain its advantage through the second half.

This article examines the supplied game data in detail, including individual performances, team shooting, quarter-by-quarter scoring, lineup information, and the statistical factors that shaped the final result. The analysis uses the provided ESPN box score data as its foundation. Where individual statistics are unavailable in the supplied figures, they are not invented or presented as confirmed facts.

Portland Trail Blazers vs Celtics Match Player Stats: Game Overview

The game took place on December 29, 2025, at the Moda Center. Portland entered the matchup with a listed record of 13-19, while Boston’s listed record was 19-12. Despite the difference in those records, Portland secured a six-point home victory.

Game detail	Information
Matchup	Portland Trail Blazers vs Boston Celtics
Date	December 29, 2025
Venue	Moda Center
Location	Portland, Oregon
Attendance	17,949
Final score	Portland 114, Boston 108
Winning team	Portland Trail Blazers
Losing team	Boston Celtics
Portland record as listed	13-19
Boston record as listed	19-12
Portland leading scorer	Shaedon Sharpe, 26 points
Boston leading scorer	Jaylen Brown, 37 points
Portland rebounding leader	Donovan Clingan, 18 rebounds
Portland assists leader	Deni Avdija, 10 assists

Portland won by six points, but the final margin does not fully explain the game. Boston had the higher-scoring individual player, while Portland produced the better overall field-goal percentage and substantially more rebounds and assists.

Three statistical details stand out immediately:

• Shooting efficiency: Portland made 42 of 89 field-goal attempts, a reported 47%, while Boston made 40 of 91, or 44%.
• Possession opportunities: Portland collected nine more total rebounds than Boston.
• Offensive distribution: Portland recorded seven more assists, suggesting that its made baskets involved more recorded passing contributions.

These numbers do not mean every Portland possession was better than every Boston possession. They show how several small advantages combined to produce a six-point result.

The distinction matters when evaluating a basketball game. A player can score heavily without his team winning, and a team can win without having the highest individual scoring total. The most informative analysis considers individual production alongside shooting efficiency, possession control, turnovers, and the contributions of teammates.

Final Score and Quarter-by-Quarter Breakdown

The quarter scores reveal how the contest developed. Portland established a narrow advantage in the first quarter, Boston responded in the second, and the Trail Blazers regained control of the scoring comparison after halftime.

Quarter	Boston Celtics	Portland Trail Blazers	Quarter winner
First	30	31	Portland
Second	33	24	Boston
Third	22	31	Portland
Fourth	23	28	Portland
Final	108	114	Portland

First quarter: Portland takes a one-point lead

Portland scored 31 points in the opening period, one more than Boston’s 30. The close score indicates that neither team established a meaningful early separation.

In a tightly matched opening quarter, individual shooting runs can quickly change the scoreboard. However, the available team totals do not identify every scoring sequence, so it would be inaccurate to attribute Portland’s early advantage to a particular player or play without consulting the full play-by-play record.

The important fact is that Portland began the game with a small lead and kept the contest close enough for its later scoring advantage to matter.

Second quarter: Boston responds with a 33-point period

Boston outscored Portland 33-24 in the second quarter. The Celtics won the period by nine points, turning a one-point deficit into an eight-point halftime lead.

This was Boston’s strongest quarter by scoring volume. It demonstrated that the Celtics could generate offense at a higher rate than Portland for a sustained stretch.

The halftime position also provides important context for the final score. Portland did not simply protect an early advantage. It had to recover from a deficit after Boston’s second-quarter surge.

A complete possession-by-possession review would be needed to determine whether Boston’s improvement came primarily from three-point shooting, transition offense, free throws, or half-court execution. The quarter totals alone cannot establish that explanation.

Third quarter: Portland reverses the momentum

Portland scored 31 points in the third quarter, while Boston managed 22. The Trail Blazers won the period by nine points, exactly matching Boston’s second-quarter advantage.

The third quarter therefore erased the eight-point halftime deficit and moved Portland ahead by one point entering the final period.

This swing is one of the clearest findings in the game data. Portland’s offense produced a stronger scoring period immediately after Boston’s best quarter, changing the direction of the contest.

The overall shooting figures support the broader conclusion that Portland was the more efficient shooting team for the full game. They do not, however, prove that Portland shot better in the third quarter specifically. Quarter-level shooting splits would be needed to confirm that detail.

Fourth quarter: Portland finishes ahead

Portland scored 28 points in the final quarter, compared with Boston’s 23. That five-point advantage extended the Trail Blazers’ one-point lead to the final six-point margin.

The closing period mattered because Boston remained close enough for the result to be influenced by a few possessions. Portland’s ability to outscore the Celtics after the third-quarter comeback helped it preserve the advantage.

The quarter totals do not establish which player made the decisive late-game shot or whether a particular defensive adjustment changed the outcome. Those details require the official play-by-play record. What the available numbers establish is that Portland won both the third and fourth quarters after trailing at halftime.

Complete Team Statistical Comparison

The team statistics explain why Portland won despite Boston’s higher individual scoring total. Portland made more field goals, shot a better percentage from the floor, collected more rebounds, and recorded more assists. Boston, however, generated more steals and blocks and made a higher percentage of its free throws.

Statistical category	Boston Celtics	Portland Trail Blazers
Points	108	114
Field goals	40/91	42/89
Field-goal percentage	44%	47%
Three-pointers	13/44	18/51
Three-point percentage	30%	35%
Free throws	15/19	12/21
Free-throw percentage	79%	57%
Total rebounds	39	48
Offensive rebounds	12	16
Defensive rebounds	27	32
Assists	19	26
Turnovers	19	20
Steals	13	7
Blocks	5	2

Percentages are reported as supplied in the game data and rounded to whole numbers.

Field-goal efficiency: Portland converts more attempts

Portland made 42 field goals from 89 attempts, while Boston made 40 from 91 attempts. The Trail Blazers therefore made two more baskets despite taking two fewer shots.

Using the supplied shooting totals, Portland’s field-goal percentage was approximately 47.2%, compared with about 44.0% for Boston. That difference may look modest, but it matters across a full game with dozens of possessions.

Portland’s advantage also illustrates the difference between shot volume and shot conversion. Boston attempted more field goals, but the additional attempts did not translate into a higher number of made baskets.

There are several possible reasons a team might take more shots yet make fewer of them, including offensive rebounds, turnovers, defensive pressure, and missed attempts. The totals supplied here establish the difference in conversion, but they do not isolate the contribution of each factor.

For readers assessing shooting performance, field-goal percentage is useful as a starting point rather than a complete measure of offensive quality. It treats a layup and a three-pointer as one made field goal each, even though they produce different numbers of points.

Three-point shooting: Boston takes more shots, Portland makes more

Boston attempted 44 three-pointers and made 13. Portland attempted 51 and made 18.

Three-point measure	Boston	Portland
Attempts	44	51
Made shots	13	18
Missed shots	31	33
Percentage from supplied totals	29.5%	35.3%
Points from three-pointers	39	54

Portland scored 54 points from beyond the arc, compared with Boston’s 39. That is a 15-point difference in three-point scoring, even though Portland made only five more three-pointers.

The distinction is important because three-point shooting affects both efficiency and scoring distribution. A team that makes more three-pointers can build an advantage without necessarily winning the total field-goal attempt count.

Portland’s 35.3% conversion rate from three-point range was also higher than Boston’s 29.5%. The supplied data therefore show that Portland held an advantage in both three-point volume and conversion percentage.

The figures do not establish whether Portland created better open looks or simply converted a greater share of comparable opportunities. Shot-location data, defender distance, and video review would be needed to assess the quality of those attempts.

Free throws: Boston has the accuracy advantage

Free-throw shooting was one area where Boston performed better. The Celtics converted 15 of 19 attempts, while Portland made 12 of 21.

Boston’s free-throw percentage was approximately 78.9%, compared with 57.1% for Portland. The Celtics scored three more points from the line despite attempting two fewer free throws.

That difference is meaningful because free throws provide scoring opportunities without requiring a field-goal attempt. Missed free throws can also represent lost points in a game decided by a narrow margin.

Portland won by six points, so its lower free-throw accuracy is a clear area worth examining. If the Trail Blazers had converted a higher percentage of their attempts, their margin could have been larger. That is a mathematical observation, not proof that the result would otherwise have been different, because improved free-throw shooting could coincide with different late-game decisions or defensive responses.

The broader lesson is that Portland did not win because it dominated every scoring category. It offset its free-throw disadvantage with better field-goal efficiency, more three-point scoring, and stronger rebounding.

Rebounding: Portland controls more possessions

Portland collected 48 rebounds, nine more than Boston’s 39. The difference becomes even more informative when offensive and defensive rebounds are considered separately.

The Trail Blazers recorded 16 offensive rebounds and 32 defensive rebounds. Boston recorded 12 offensive rebounds and 27 defensive rebounds.

Portland therefore collected four more offensive rebounds and five more defensive rebounds.

Offensive rebounds give a team another opportunity to score after a missed shot. Defensive rebounds help end an opponent’s possession and allow the recovering team to begin its own offensive sequence.

Portland’s advantage in both categories suggests that its rebounding success was not limited to one side of the floor. The team gathered more misses from its own offensive possessions and secured more rebounds after Boston’s attempts.

However, rebounds alone do not tell the whole story. Some missed shots produce long rebounds that favor perimeter players, while others fall near the basket. Team rebounding totals also do not establish which player contested each rebound or whether a rebound resulted from a missed free throw.

The clearest individual figure is Donovan Clingan’s 18 rebounds. His total accounted for a substantial portion of Portland’s 48 team rebounds and made him the most prominent rebounder identified in the supplied statistics.

Assists: Portland spreads its offense more effectively

Portland recorded 26 assists, compared with Boston’s 19. The seven-assist difference provides evidence of a gap in recorded passing contributions on made baskets.

Deni Avdija led Portland with 10 assists while scoring 24 points. That combination makes his performance particularly important to the game analysis. He contributed directly to scoring and also helped create opportunities for teammates.

An assist does not capture every useful pass. A pass that creates an open shot may not receive an assist if the shooter dribbles before scoring, while some assists come from relatively straightforward passes followed by a successful finish.

Even with that limitation, the team totals show that Portland recorded more assists while making more field goals. The combination is consistent with an offense that generated more assisted baskets, although the supplied totals do not identify every play’s structure.

For Boston, 19 assists were not enough to match Portland’s total. That does not mean the Celtics lacked ball movement throughout the game. It means their final recorded assist count was lower.

Turnovers: both teams lose valuable possessions

Portland committed 20 turnovers, while Boston committed 19. Boston therefore had a one-turnover advantage in this category.

This is an important qualification to the overall comparison. Portland did not win because it protected the ball better. Its turnover total was slightly higher, which could have cost the team scoring opportunities.

Turnovers can be especially damaging when they lead to transition baskets. They can also stop a possession before a team gets a shot attempt, reducing the value of an otherwise productive offensive sequence.

The available totals do not show how many turnovers were live-ball mistakes, offensive fouls, bad passes, or violations. They also do not specify how many points either team scored after an opponent’s turnover.

Consequently, the one-turnover difference should be treated as a small statistical disadvantage for Portland rather than a complete explanation of either team’s ball security.

Defensive activity: Boston records more steals and blocks

Boston finished with 13 steals and five blocks, while Portland recorded seven steals and two blocks. The Celtics therefore led by six steals and three blocks.

Those numbers show that Boston recorded more events in these two defensive categories. They do not, by themselves, establish that Boston played better defense overall.

Steals can disrupt an offense and create transition opportunities. Blocks can prevent or alter shots near the basket. But defensive impact also includes contesting shots without blocking them, forcing difficult attempts, communicating through screens, and securing rebounds.

Portland’s stronger shooting and rebounding totals help explain why Boston’s advantage in steals and blocks did not produce a win. The Celtics generated more recorded defensive events in those categories, yet Portland still scored six more points.

A more complete defensive assessment would examine opponent shooting by location, turnovers forced, points allowed per possession, and individual matchup assignments.

Individual Player Performance Analysis

The supplied data identify several key performers, but they do not provide a complete individual box score for every player. The following analysis distinguishes confirmed figures from interpretations and avoids filling missing statistics with estimates.

Jaylen Brown: Boston’s leading scorer with 37 points

Jaylen Brown scored 37 points to lead all listed scorers. His total represented approximately 34.3% of Boston’s 108 points.

That is a substantial share of a team’s scoring. It demonstrates that Brown was the central individual scoring contributor identified in the game data.

However, a high point total does not automatically indicate that a player had an efficient shooting night. To evaluate Brown’s scoring efficiency, readers would need his individual field-goal attempts, three-point attempts, free-throw attempts, and turnovers.

The team totals cannot be used to assign Boston’s misses or turnovers to Brown. Nor can the available figures establish how many of his points came in each quarter.

What can be said confidently is that Brown’s 37 points kept him at the center of Boston’s offensive production. The Celtics nevertheless finished six points behind a Portland team that received more scoring support from its two leading listed scorers and an important contribution from its primary playmaker.

Shaedon Sharpe: Portland’s leading scorer with 26 points

Shaedon Sharpe scored 26 points, making him Portland’s leading scorer in the supplied data.

His point total was 11 below Brown’s, yet Portland won the game. This contrast illustrates why individual scoring totals should be evaluated within the broader team context.

Sharpe’s 26 points represented approximately 22.8% of Portland’s 114 points. His contribution was important without accounting for as large a share of the team’s scoring as Brown’s did for Boston.

The available data do not establish Sharpe’s individual shooting percentage, shot distribution, or number of assists. Those details would be necessary to determine precisely how he generated his points and how his performance compared with his usual level.

Still, his 26-point output was the largest individual scoring contribution identified for Portland and formed a major part of the offense that finished with 114 points.

Deni Avdija: 24 points and 10 assists

Deni Avdija recorded 24 points and 10 assists. His performance stands out because it combined scoring with playmaking.

A player who scores and creates shots for teammates can influence the offense in two different ways. Personal scoring adds points directly, while assists help teammates convert their opportunities.

Avdija’s 24 points accounted for approximately 21.1% of Portland’s total. Combined with his 10 assists, that scoring contribution shows why his role cannot be evaluated through points alone.

His assist total was the highest listed for either team in the supplied data. It also fits the broader team result, with Portland recording 26 assists to Boston’s 19.

It would be tempting to assign a precise number of Portland’s made baskets to Avdija’s passes, but the available figures do not provide the complete individual assist distribution. The confirmed fact is that he led Portland in assists while finishing as its second-leading scorer.

Donovan Clingan: 18 rebounds

Donovan Clingan collected 18 rebounds, the highest individual rebounding total identified in the provided figures.

That performance is particularly relevant because Portland finished with a nine-rebound advantage over Boston. Clingan’s total was equivalent to 37.5% of Portland’s 48 rebounds, although the team total includes every player and does not indicate how many rebounds Clingan contested or secured against a specific opponent.

Rebounding is valuable because it determines which team gains control after a missed shot. An offensive rebound can extend a possession, while a defensive rebound can prevent an opponent from getting another immediate scoring opportunity.

Clingan’s 18 rebounds therefore provide an important individual counterpart to Portland’s team-level rebounding advantage.

The supplied data do not specify his points, blocks, minutes, or shooting efficiency. Those numbers should be checked in the full box score before making further claims about his overall performance.

Anfernee Simons: Boston’s listed bench contributor

Anfernee Simons scored 13 points off the bench, according to the supplied data.

His contribution is relevant because a team’s performance depends on more than its starters. Bench scoring can help sustain offensive production when starting players rest or when substitutions change the pace and spacing of a game.

Simons’ 13 points gave Boston an identified scoring contribution beyond Brown’s 37 points. However, the available figures do not establish his minutes, shooting percentage, three-point accuracy, or assist total.

It is therefore more accurate to describe his scoring output than to make an unsupported judgment about his efficiency or overall impact.

The game data also list the starting lineups for both teams, but they do not provide enough individual detail to reconstruct every substitution or establish which lineup combinations performed best.

Starting Lineups and Player Roles

The listed starting lineups help establish the personnel configuration for the matchup. They are useful context for readers who want to connect the team statistics with the players who began the game.

Boston Celtics starting lineup

Player	Listed role in the lineup
Neemias Queta	Center
Derrick White	Guard
Jaylen Brown	Wing
Payton Pritchard	Guard
Jordan Walsh	Wing

Boston’s listed starters included Brown, who led the team with 37 points, and Queta, who occupied the center position. White and Pritchard provided the listed guard presence, while Walsh completed the starting group.

The supplied data do not include complete individual statistics for all five starters. It would therefore be inappropriate to assign specific assist, rebounding, or defensive totals to White, Pritchard, Queta, or Walsh without consulting the individual box score.

The lineup information is best used as a reference point rather than evidence that one particular positional combination caused Boston’s defeat.

Portland Trail Blazers starting lineup

Player	Listed role in the lineup
Toumani Camara	Forward
Kris Murray	Forward
Deni Avdija	Forward
Donovan Clingan	Center
Shaedon Sharpe	Guard

Portland’s listed starting five included its leading scorer, Sharpe, its leading playmaker, Avdija, and its rebounding leader, Clingan.

This makes the starting lineup especially relevant to the three most prominent individual contributions identified in the supplied data. Sharpe scored 26 points, Avdija recorded 24 points and 10 assists, and Clingan collected 18 rebounds.

However, the presence of these players in the starting group does not establish how many minutes they played together or how the team performed during their shared court time. Those questions require lineup-level data.

What the Statistics Reveal About Portland’s Victory

The game offers several useful lessons for readers who want to understand basketball beyond the final score.

1. Balanced scoring can offset an opponent’s leading scorer

Brown scored 37 points, 11 more than Portland’s leading scorer, Sharpe. Yet Portland won because the final result depended on the combined output of both teams, not the difference between their leading scorers.

Sharpe and Avdija combined for 50 points. That represented approximately 43.9% of Portland’s 114 points. Their contributions gave Portland two identified high-scoring options rather than relying on a single player to produce the largest share of the offense.

This does not prove that Portland had a more balanced scoring distribution across its entire roster, because the complete individual scoring totals are not included here. It does demonstrate that the Trail Blazers’ two leading scorers combined for a substantial contribution.

For game analysis, comparing the top two scorers is often more informative than looking only at the highest individual total. The full picture should still include bench scoring, shooting efficiency, and the contributions of the remaining players.

2. Rebounds can compensate for a turnover disadvantage

Portland recorded 48 rebounds and 20 turnovers. Boston had 39 rebounds and 19 turnovers.

The Trail Blazers therefore collected nine more rebounds while committing one additional turnover. The difference between those two categories is striking: Portland’s rebounding margin was much larger than Boston’s advantage in turnovers.

This comparison helps explain why a team can win despite losing one category associated with possession management. Portland’s additional rebounds provided more opportunities to control the ball after missed shots, while its higher turnover total represented a separate cost.

It would be incorrect to assume that every additional rebound directly offset a turnover. An offensive rebound and a turnover do not have identical effects in every situation. Nevertheless, the contrast shows why multiple possession-related statistics should be considered together.

3. Three-point production was a major scoring difference

Portland scored 54 points on three-pointers, compared with Boston’s 39. The 15-point gap was larger than the final six-point margin.

This is one of the clearest scoring differences in the supplied figures. It indicates that Portland generated a substantial advantage from beyond the arc, even while Boston made more free throws.

The result also illustrates the importance of examining points by shot type. A team may attempt more field goals overall without gaining the same advantage from the three-point line.

However, the figures do not prove that three-point shooting alone decided the game. Rebounding, assists, turnovers, two-point scoring, and free throws all contributed to the final scoring balance.

4. Boston’s defensive events did not translate into a victory

Boston recorded 13 steals and five blocks, both higher than Portland’s totals of seven steals and two blocks.

These numbers show that the Celtics recorded more steals and blocks, but Portland still won by six points. Defensive activity in selected box-score categories is not the same as overall defensive effectiveness.

A full defensive evaluation would also consider shooting allowed, fouls, defensive rebounding, transition defense, and the quality of shots conceded. Those figures are not all available in the supplied summary.

The lesson is to avoid interpreting one defensive category as a complete performance rating.

5. Quarter-by-quarter scoring reveals the turning point

Boston outscored Portland by nine points in the second quarter. Portland then outscored Boston by nine in the third quarter and by five in the fourth.

That sequence is central to understanding the final score. Portland’s comeback was not the result of one narrow final-period advantage. The Trail Blazers reversed the scoring margin in the third quarter and added to their lead in the fourth.

A quarter-by-quarter table is particularly helpful for this type of game because it shows how a lead changes over time. A final score alone cannot tell readers whether a team led early, recovered from a deficit, or won through a late scoring run.

In this matchup, the quarter totals establish that Portland’s second-half scoring was decisive in reversing the halftime position.

Understanding Plus/Minus and Other Advanced Metrics

The supplied data mention player plus/minus as an indicator of a team’s net point differential while a player is on the court. The individual plus/minus values themselves are not included in the figures provided for this analysis.

Plus/minus is calculated by subtracting the opponent’s points from the player’s team’s points during the periods that player is on the floor. If a player is on the court while his team scores 30 points and allows 24, his plus/minus for that stretch is +6.

A player’s plus/minus is not the same as his individual points. A player can score heavily while his team is outscored during his minutes, or score relatively little while his team builds a lead.

The metric also has limitations. Teammates share court time, opponents change lineups, and game situations affect both rotations and scoring. Plus/minus should therefore be considered alongside individual production and team context rather than treated as a standalone measure of player quality.

Other metrics can provide additional insight:

• Effective field-goal percentage: Adjusts field-goal percentage to account for the extra point awarded to a three-pointer.
• True shooting percentage: Evaluates scoring efficiency using field goals, three-pointers, and free throws.
• Assist-to-turnover ratio: Compares recorded assists with turnovers, offering a limited view of ball security and playmaking.
• Offensive rebound percentage: Estimates the share of available offensive rebounds a team collects.
• Points per possession: Measures scoring relative to possessions, providing more context than raw point totals.

These metrics require appropriate underlying data and, in some cases, specific calculation conventions. They should not be presented as verified game results when the necessary inputs have not been supplied.

For readers seeking a source for the complete official game figures, the ESPN box score for this matchup is the relevant reference identified in the supplied information.

Inactive Players and Roster Context

The supplied game information lists several players as inactive or not playing. Boston’s list includes Baylor Scheierman, Hugo Gonzalez, Chris Boucher, Xavier Tillman, and Josh Minott. Portland’s list includes Jerami Grant, Robert Williams III, Duop Reath, Damian Lillard, Matisse Thybulle, and Blake Wesley.

These names should be understood as the inactive or did-not-play list supplied for this particular game. The available information does not establish a reason for each player’s status, so it would be inappropriate to attribute absences to injuries, coaching decisions, suspensions, or other causes without separate confirmation.

Inactive-player information matters because availability can affect rotations, bench depth, and the distribution of playing time. But a list of unavailable players alone cannot establish how much any absence influenced the result.

A reliable roster analysis would compare the listed statuses with official game-day reports and the final participation record. It would also examine which active players absorbed additional minutes and whether those changes affected the team’s shooting, rebounding, or defensive performance.

For this game, the safest conclusion is that the supplied inactive lists provide roster context, while the confirmed team statistics provide the stronger basis for explaining the six-point result.

How to Read a Basketball Box Score Correctly

A box score is a compact record of individual and team performance. Understanding its categories helps readers distinguish verified outcomes from interpretations.

Start with the final score

The score establishes which team won and by how much. In this matchup, Portland scored 114 points and Boston scored 108.

Compare shooting volume and efficiency

Field-goal attempts show how often a team tried to score with a shot. Shooting percentages show how frequently those attempts went in. Three-point and free-throw figures add context about scoring from different areas.

Examine rebounds and turnovers together

Rebounds help teams retain or regain possession after missed shots. Turnovers end possessions without a field-goal attempt in many cases. Both categories help explain how teams create and lose scoring opportunities.

Use assists to understand recorded passing contributions

Assists indicate how often a made field goal was credited to a teammate’s pass. They provide useful context about ball movement, but they do not capture every pass that helps create a shot.

Separate individual statistics from team statistics

Brown’s 37 points were an individual total. Boston’s 108 points were a team total. The distinction is essential because team results include the contributions of every player who scored.

Check the source before publishing individual numbers

When writing about a completed game, individual field-goal attempts, minutes, fouls, steals, blocks, and plus/minus should be checked against the relevant player rows in the official box score. Missing statistics should not be estimated from team totals.

This approach is especially useful when publishing game recaps or statistical articles. It helps ensure that readers receive a clear account of what the numbers demonstrate without confusing analysis with confirmed facts.

Frequently Asked Questions

Who won the Portland Trail Blazers vs Celtics game on December 29, 2025?

The Portland Trail Blazers defeated the Boston Celtics 114-108 at the Moda Center in Portland, Oregon. Portland won by six points after trailing at halftime.

Who scored the most points in the game?

Jaylen Brown led all listed scorers with 37 points for Boston. Portland’s leading scorer was Shaedon Sharpe, who finished with 26 points.

Which Portland player recorded the most rebounds?

Donovan Clingan led Portland with 18 rebounds. The Trail Blazers collected 48 rebounds as a team, nine more than Boston’s 39.

How many points and assists did Deni Avdija record?

Deni Avdija recorded 24 points and 10 assists, making him Portland’s second-leading scorer and its leading listed playmaker in the supplied game data.

Why did Portland win despite Jaylen Brown scoring 37 points?

Portland shot a higher field-goal percentage, made more three-pointers, collected nine more rebounds, and recorded seven more assists. Those team advantages helped the Trail Blazers overcome Brown’s individual scoring performance.

What was the final score of the second listed matchup?

The supplied season-series information lists a second matchup on January 27, 2026, in which Boston defeated Portland 102-94. That result is separate from the December 29, 2025, game analyzed above.

Conclusion

The Portland Trail Blazers defeated the Boston Celtics 114-108 on December 29, 2025, by combining efficient shooting, strong rebounding, and productive playmaking. Jaylen Brown led all listed scorers with 37 points, but Portland received important contributions from Shaedon Sharpe, Deni Avdija, and Donovan Clingan.

Sharpe finished with 26 points, Avdija recorded 24 points and 10 assists, and Clingan collected 18 rebounds. Their performances reflected three different ways players can influence a basketball game: scoring, creating opportunities for teammates, and controlling the glass.

The team statistics provide further context. Portland made 47% of its field-goal attempts, compared with Boston’s 44%, and scored 54 points from three-pointers against Boston’s 39. The Trail Blazers also held a 48-39 rebounding advantage and recorded 26 assists to Boston’s 19. Boston, meanwhile, made a higher percentage of its free throws and recorded more steals and blocks.

The quarter-by-quarter breakdown explains how the result developed. Boston built an eight-point halftime lead after winning the second quarter 33-24. Portland responded by winning the third quarter 31-22 and the fourth 28-23, securing the six-point victory.

Ultimately, the portland trail blazers vs celtics match player stats demonstrate why a complete game analysis must look beyond the leading scorer. Individual performances matter, but shooting efficiency, rebounds, assists, turnovers, and scoring across all four quarters help explain the final outcome. Keeping those categories separate while examining how they work together provides a clearer and more reliable understanding of the game.