Timberwolves vs Knicks Match Player Stats
The timberwolves vs knicks match player stats from the October 10, 2025, preseason matchup reveal a close contest decided in overtime at Madison Square Garden. The New York Knicks defeated the Minnesota Timberwolves 100-95 in a game where Mikal Bridges led New York with 15 points, Anthony Edwards paced Minnesota with 17, and both teams collected 55 rebounds. The biggest statistical difference was not shooting efficiency or rebounding, but ball security: Minnesota committed 23 turnovers, compared with just 11 by New York. That difference helps explain how the Knicks won despite making fewer three-pointers as a percentage of their attempts.
This breakdown examines the final score, individual player contributions, team statistics, overtime performance, bench production, and the key lessons behind the result. It also distinguishes the supplied box-score facts from broader basketball analysis, so readers can understand what the numbers establish without treating a preseason game as a definitive measure of regular-season strength.
Game Overview: Knicks vs Timberwolves
New York Knicks
100
Won in overtime
95
Final margin: 5
Minnesota Timberwolves
95
Lost in overtime
Date
October 10, 2025
Venue
Madison Square Garden
Attendance
18,344
Game type
NBA preseason
The final score indicates a five-point New York victory, but the full statistical picture adds important context. Minnesota scored more points in the third quarter and entered the fourth with a narrow lead. New York then outscored Minnesota 27-19 in the fourth quarter, forcing overtime after the teams finished regulation tied at 90.
The Knicks scored 10 points in overtime while holding the Timberwolves to five. That five-point overtime margin was enough to settle the game.
The result is particularly interesting because Minnesota shot better from the field and from three-point range. New York’s advantage came through a different combination of factors: fewer turnovers, more offensive rebounds, more assists, and more steals.
Data note: The analysis below uses the game information and statistics supplied for this matchup. Individual player figures not included in that data are not estimated or invented.
Timberwolves vs Knicks Match Player Stats: Quarter-by-Quarter Score
The scoring pattern shows how the game changed over four quarters and overtime. Minnesota had the stronger third quarter, but the Knicks responded with their best scoring period in the fourth.
| Period | Minnesota Timberwolves | New York Knicks |
| First quarter | 21 | 20 |
| Second quarter | 23 | 18 |
| Third quarter | 27 | 25 |
| Fourth quarter | 19 | 27 |
| Overtime | 5 | 10 |
| Final score | 95 | 100 |
First quarter: Minnesota takes a narrow lead
Minnesota scored 21 points in the opening quarter, one more than New York’s 20. The small difference suggests a competitive start rather than a period dominated by either team.
At this stage, the scoreboard offered little indication of which side would eventually win. In a preseason matchup, early scoring can also reflect lineup experimentation, player rotations, and efforts to establish offensive rhythm.
The important point is that neither team created a meaningful separation in the opening 12 minutes.
Second quarter: Minnesota extends its advantage
The Timberwolves added 23 points in the second quarter, while the Knicks scored 18. Minnesota therefore won the period by five points.
Across the first half, Minnesota scored 44 points against New York’s 38, giving the visitors a six-point advantage at halftime.
That lead was built without Minnesota needing a huge scoring performance from one player. Anthony Edwards led the team with 17 points for the game, while Julius Randle contributed 16. The supplied figures identify both as the Timberwolves’ leading scorers.
Third quarter: Minnesota maintains control
Minnesota scored 27 points in the third quarter, its highest-scoring period of the game. New York responded with 25.
The Timberwolves won the quarter by two and maintained their six-point halftime advantage. Through three quarters, the cumulative score was Minnesota 71, New York 63.
This is an important distinction when reading the final result. New York did not control the entire game. Minnesota had the advantage for much of regulation, but the Knicks produced the stronger finish.
Fourth quarter: New York changes the momentum
The Knicks scored 27 points in the fourth quarter, matching Minnesota’s third-quarter total for the highest single-period output by New York. Minnesota managed only 19.
New York won the quarter by eight points, exactly enough to erase its six-point deficit and leave regulation tied at 90.
The fourth-quarter numbers provide one of the clearest explanations for the eventual outcome. The Knicks combined a stronger scoring period with a much lower overall turnover count, allowing them to remain in contention despite their weaker shooting percentages.
However, the supplied data does not identify every scoring play or the exact possession on which the game became tied. It would be inaccurate to attribute the comeback to a particular shot or defensive adjustment without the play-by-play record.
Overtime: The Knicks finish the job
The Knicks scored 10 points in overtime, twice Minnesota’s five.
A five-point difference in a short extra period can come from a small number of possessions. It can also reflect which team protects the ball, secures rebounds, and creates reliable scoring opportunities under pressure.
New York’s overall statistical advantages in turnovers, steals, assists, and offensive rebounds provide useful context for its overtime win. Still, team totals alone cannot establish exactly which of those factors decided each overtime possession.
Individual Player Performance
Player statistics help explain how each team reached its final score. Points show who contributed to the scoring total, rebounds measure control of missed shots, and assists offer insight into passing that leads directly to baskets.
The following figures are the player totals explicitly supplied for this game. They should not be confused with a complete individual box score, because detailed shooting splits, minutes, blocks, steals, and plus/minus for every player were not included in the supplied information.
Minnesota Timberwolves Player Stats
Anthony Edwards
Leading scorer
17 points
Edwards led Minnesota’s scoring. His total was the highest individual points figure reported for either team in the supplied summary.
Julius Randle
Second-highest scorer
16 points
Randle finished one point behind Edwards, giving Minnesota a second significant scoring contribution.
Rudy Gobert
Leading rebounder
11 rebounds
Gobert led Minnesota on the glass and helped the team finish with 55 total rebounds.
Donte DiVincenzo
Assists leader, tied
3 assists
DiVincenzo was among Minnesota’s assist leaders. The supplied summary notes that other players also recorded three assists.
Anthony Edwards: Minnesota’s leading scorer
Edwards recorded 17 points, making him Minnesota’s leading scorer in the game. His total was also two points higher than New York’s leading scorer, Mikal Bridges.
That comparison is useful, but it should not be mistaken for proof that Edwards had the most efficient offensive performance. Points alone do not show how many shots a player attempted, whether the points came from three-pointers or free throws, or how much time he spent on the court.
A fuller evaluation would include field-goal attempts, three-point attempts, free-throw attempts, turnovers, assists, and minutes played. Those figures would help distinguish high-volume scoring from efficient scoring.
For this game, the defensible conclusion is straightforward: Edwards supplied the highest reported individual scoring total for Minnesota, but his production was not enough to secure the win.
Julius Randle: A second scoring option
Randle finished with 16 points, just one fewer than Edwards. Having two players reach at least 16 points gave Minnesota a useful scoring foundation.
The narrow gap between their totals suggests that the scoring burden was not concentrated entirely on Edwards. However, the supplied figures do not establish how the two players divided their attempts or whether their scoring came primarily from isolation plays, transition opportunities, post-ups, or outside shooting.
The more meaningful team-level question is how Minnesota converted its scoring into a win. The Timberwolves made 32 field goals and 15 three-pointers, but their 23 turnovers created a major obstacle.
Randle’s scoring was a positive individual result. The overall outcome shows that scoring from the leading players must be supported by possession control and team execution.
Rudy Gobert: Rebounding strength
Gobert collected 11 rebounds, making him Minnesota’s leading rebounder. He was the only Timberwolves player identified in the supplied summary with a double-digit rebound total.
Minnesota finished with 55 rebounds, matching New York’s total. This indicates that the Timberwolves were not overwhelmed in the overall rebounding battle.
Rebounding, however, involves more than the final total. Offensive rebounds create additional possessions, while defensive rebounds help end an opponent’s attack. Minnesota recorded 14 offensive rebounds and 41 defensive rebounds.
Gobert’s 11 boards contributed to that overall performance, but the data does not specify how many were offensive or defensive. It is therefore better to credit him for leading the team in total rebounds rather than assume a particular breakdown.
Donte DiVincenzo: Connecting the offense
DiVincenzo recorded three assists, tied with other Minnesota players according to the supplied information.
An assist total is a useful indicator of passing that directly produces a made basket. It does not capture every helpful pass, screen, or off-ball action that creates a scoring chance.
Minnesota recorded 20 team assists, two fewer than New York. That difference was not enormous, but it was one part of a broader pattern in which the Knicks generated slightly more assisted scoring while making fewer mistakes.
A complete player-level evaluation would need DiVincenzo’s minutes, shooting figures, turnovers, and defensive statistics. The available data supports describing his three assists, but not assigning him a definitive overall performance grade.
Minnesota’s supporting scorers
The supplied bench highlights include:
| Player | Points |
| Bones Hyland | 11 |
| Naz Reid | 9 |
| Terrence Shannon Jr. | 8 |
Hyland’s 11 points were the highest bench scoring total listed for Minnesota. Reid added nine, while Shannon contributed eight.
Those numbers indicate that Minnesota received scoring help beyond Edwards and Randle. Hyland’s total was especially notable because it exceeded Randle’s scoring by no means in the top two? No: Hyland finished below both Edwards and Randle, but his contribution placed him third among the listed Minnesota scorers.
Bench points are important in preseason games because coaches use these contests to assess players in different roles and combinations. Even so, points do not reveal the full value of a reserve’s performance. Defensive assignments, ball movement, turnovers, and lineup fit also matter.
The available summary does not provide enough information to determine which bench lineup was most effective or how many minutes each reserve played.
Minnesota’s listed starting lineup
The supplied starters were:
- Anthony Edwards
- Donte DiVincenzo
- Julius Randle
- Jaden McDaniels
- Rudy Gobert
These five players combine perimeter scoring, playmaking, wing defense, rebounding, and interior protection on paper. But lineup roles should not be treated as a record of what happened on every possession.
The statistical summary confirms the starting lineup and the team’s final totals. It does not provide individual minutes, lineup-specific scoring, or on-court plus/minus. Those details would be needed to assess how effectively the starting group performed together.
New York Knicks Player Stats
Mikal Bridges
Leading scorer
15 points
Bridges led New York in scoring, helping the Knicks stay competitive before their fourth-quarter comeback.
Karl-Anthony Towns
Scoring and rebounding contributor
10 points, 11 rebounds
Towns recorded a double-double in the traditional points-and-rebounds sense, reaching double digits in both categories.
Mitchell Robinson
Rebounding contributor
6 rebounds
Robinson helped support a Knicks frontcourt that finished with 55 team rebounds and 18 offensive boards.
Jalen Brunson
Assists leader, tied
3 assists
Brunson shared the Knicks’ reported assist lead, helping connect New York’s offensive possessions.
Mikal Bridges: New York’s leading scorer
Bridges finished with 15 points, the highest scoring total reported for the Knicks. He was two points behind Edwards, Minnesota’s leading scorer.
New York’s scoring was spread across several players. Bridges led the team, while Towns and Jordan Clarkson each scored 10 points. This gave the Knicks multiple contributors rather than requiring one player to account for a very large share of the team’s points.
Bridges’ 15 points were important in a game that required a comeback. However, the supplied data does not include his shooting attempts, three-point percentage, free throws, or minutes. It would be premature to call his performance especially efficient or inefficient without those details.
The key confirmed fact is that Bridges led the Knicks in scoring as they won by five points in overtime.
Karl-Anthony Towns: Scoring and rebounding
Towns recorded 10 points and 11 rebounds. His rebound total tied him with Gobert for the highest individual rebound figure reported in the game.
Reaching double digits in both points and rebounds is commonly called a double-double. Towns achieved that milestone, providing New York with a combination of scoring and work on the boards.
His 11 rebounds were especially relevant because the Knicks faced a Timberwolves team that also collected 55 rebounds. The overall totals were equal, so New York’s victory cannot be explained by a simple advantage in total rebounds.
Instead, the type of rebound matters. New York recorded 18 offensive rebounds, four more than Minnesota. Those extra offensive boards created additional opportunities to attack after missed shots.
The data does not establish how many of Towns’ rebounds were offensive, so his contribution should be understood within the overall team total rather than assigned an unsupported breakdown.
Mitchell Robinson: Supporting the frontcourt
Robinson finished with six rebounds. Although this was below Towns’ 11, his total contributed to New York’s collective rebounding effort.
The Knicks grabbed 18 offensive rebounds, which is a notable figure in a game where they shot only 34% from the field. Missing shots can reduce scoring efficiency, but an offensive rebound may allow a team to retain possession and create another opportunity.
That is why rebounding totals should be read alongside shooting percentages. A team can shoot poorly and still produce enough additional possessions to remain competitive.
The available figures do not show Robinson’s individual offensive rebounds, blocks, minutes, or defensive matchups. His six total rebounds are confirmed, but a more detailed assessment would require a full player box score.
Jalen Brunson: Playmaking and ball security
Brunson recorded three assists, tying him with Clarkson for the highest assist total reported for New York.
The Knicks finished with 22 team assists, two more than Minnesota. That modest difference suggests New York recorded slightly more direct passing contributions to made baskets.
The more striking difference was turnovers. New York committed 11, compared with Minnesota’s 23. Brunson’s individual turnover count was not supplied, so the team advantage should not be credited to him alone.
For guards and primary ball handlers, assists are only one part of evaluating playmaking. Turnovers, shot creation, defensive pressure, and the quality of possessions also matter. The supplied numbers confirm Brunson’s three assists, but they do not support a complete assessment of his individual efficiency.
Jordan Clarkson: A useful scoring contribution
Clarkson scored 10 points and recorded three assists. His scoring total matched Towns’ and tied him with Brunson for the Knicks’ reported assist lead.
This combination is useful because it shows that Clarkson contributed in two categories rather than appearing only as a scorer in the supplied summary.
The Knicks also recorded 22 assists as a team. Clarkson’s three assists formed part of that total, although the available data does not provide the exact distribution of assists among all players.
His 10 points made him one of New York’s secondary scoring contributors. More detailed shooting and minutes data would be needed to assess how efficiently he produced those points.
Miles McBride and Guerschon Yabusele
The supplied Knicks bench highlights list Miles McBride with 10 points and Guerschon Yabusele with four.
| Player | Points |
| Jordan Clarkson | 10 |
| Miles McBride | 10 |
| Guerschon Yabusele | 4 |
McBride matched Clarkson’s scoring total among the listed reserves. Yabusele contributed four points, giving New York another recorded scoring contribution from its bench.
The available summary does not include every Knicks reserve or individual playing time. Therefore, these figures should be treated as highlights, not a complete ranking of every player who appeared.
Bench production is especially relevant in preseason basketball. Coaches can evaluate how players handle opportunities outside the main starting group, but scoring alone cannot determine whether a reserve secured a regular-season role or outperformed another player.
New York’s listed starting lineup
The supplied starting lineup for the Knicks was:
- Jalen Brunson
- Mikal Bridges
- OG Anunoby
- Karl-Anthony Towns
- Mitchell Robinson
This group includes perimeter playmaking, wing defense, frontcourt scoring, and interior rebounding. The statistical summary confirms the listed starters, but it does not provide a full lineup-by-lineup breakdown.
It is therefore not possible to determine from the supplied team totals alone how the starting five performed compared with New York’s bench combinations.
Complete Team Statistical Comparison
The team totals offer the clearest view of why the Knicks won despite shooting less accurately. Both sides finished with the same number of rebounds, while New York had advantages in assists, turnovers, steals, and offensive rebounds.
| Statistical category | Timberwolves | Knicks |
| Points | 95 | 100 |
| Field goals made | 32 | 35 |
| Field goals attempted | 85 | 102 |
| Field-goal percentage | 38% | 34% |
| Three-pointers made | 15 | 15 |
| Three-pointers attempted | 38 | 57 |
| Three-point percentage | 39% | 26% |
| Free throws made | 16 | 15 |
| Free throws attempted | 19 | 20 |
| Free-throw percentage | 84% | 75% |
| Total rebounds | 55 | 55 |
| Offensive rebounds | 14 | 18 |
| Defensive rebounds | 41 | 37 |
| Assists | 20 | 22 |
| Turnovers | 23 | 11 |
| Steals | 6 | 11 |
| Blocks | 7 | 6 |
| Personal fouls | 27 | 20 |
Percentages are reproduced from the supplied game summary and rounded as provided.
Field-goal shooting: Minnesota was more accurate
Minnesota made 32 of 85 field-goal attempts, while New York made 35 of 102.
The Timberwolves’ reported field-goal percentage was 38%, compared with 34% for the Knicks. In other words, Minnesota converted a larger share of its attempts.
Yet the Knicks made three more field goals because they attempted 17 more shots. That distinction matters when interpreting a box score. A higher percentage does not automatically mean a team will score more points if the opponent takes substantially more shots.
New York’s larger attempt total also suggests that possession volume played a role. The offensive rebound and turnover figures help explain that difference, although the supplied summary does not contain a full possession-by-possession accounting.
Three-point shooting: Equal makes, very different efficiency
Both teams made 15 three-pointers. Minnesota attempted 38, while New York attempted 57.
Minnesota’s reported three-point percentage was 39%, against 26% for New York. The difference shows that Minnesota generated the same number of made threes with far fewer attempts.
The Knicks’ high three-point attempt total did not translate into better outside shooting efficiency in this game. However, those misses should not be viewed in isolation. Some missed shots can lead to offensive rebounds, and New York collected 18 offensive boards.
This does not mean missed three-pointers were automatically beneficial. It means the outcome depended on more than shot accuracy alone.
Free throws: Minnesota had the percentage advantage
Minnesota made 16 of 19 free throws, an 84% success rate in the supplied figures. New York made 15 of 20, or 75%.
The Timberwolves therefore made one more free throw despite attempting one fewer. Their accuracy at the line was another area in which they outperformed the Knicks.
Still, the difference amounted to just one made free throw. It was not enough to offset the wider turnover gap or New York’s stronger fourth-quarter and overtime scoring.
Rebounding: The total was tied, but the distribution differed
Both teams recorded 55 rebounds, which makes the overall rebounding comparison look even.
The breakdown tells a more interesting story:
- Minnesota recorded 14 offensive rebounds and 41 defensive rebounds.
- New York recorded 18 offensive rebounds and 37 defensive rebounds.
The Knicks collected four more offensive rebounds, while Minnesota recorded four more defensive rebounds.
Offensive rebounds extend possessions after missed shots. Defensive rebounds generally help end the opponent’s possession and allow a team to begin its own attack.
This distinction helps explain why identical total rebound counts can coexist with different possession patterns. New York created more second-chance opportunities, while Minnesota collected more rebounds on the defensive end.
Assists: New York recorded slightly more
The Knicks recorded 22 assists, compared with Minnesota’s 20.
A two-assist difference is not large enough to explain the result by itself. It does, however, support the observation that New York had a slight edge in recorded passing contributions that led directly to made baskets.
Assists are an incomplete measure of teamwork. A possession may involve several good passes without producing an assist, and a difficult individual basket can be scored without one. Even so, the team total is useful when read alongside field-goal attempts and turnovers.
Turnovers: The most important statistical difference
Minnesota committed 23 turnovers, while New York committed 11. That is a difference of 12 turnovers.
This was the largest gap among the major possession-related categories supplied for the game. A turnover ends an offensive possession without a shot being attempted on that possession, except in unusual scoring situations involving the same play.
The Knicks’ lower turnover total helped them preserve more opportunities to score. Minnesota’s 23 turnovers, by contrast, made it harder to convert its shooting efficiency into a winning score.
It is reasonable to identify turnovers as a major explanation for the result, but the team totals do not establish how many points New York scored directly after those mistakes. That would require the play-by-play or points-off-turnovers data.
Steals and blocks: Defensive activity
New York recorded 11 steals, compared with Minnesota’s six. The Knicks therefore finished with five more steals.
Minnesota recorded seven blocks, one more than New York’s six. The teams consequently showed different defensive strengths in the box score: New York recorded more steals, while Minnesota had a slight advantage in blocks.
Steals can directly end an opponent’s possession and may create transition chances. Blocks can prevent or alter shots, although a blocked attempt may remain with the shooting team if the defense does not recover the ball.
The statistics support the conclusion that New York generated more steals and Minnesota recorded more blocks. They do not identify every defensive matchup or establish how many of these plays directly changed the scoreboard.
Why the Knicks Won Despite Shooting Worse
The most useful lesson from the timberwolves vs knicks match player stats is that shooting accuracy and winning basketball are related, but they are not the same thing.
Minnesota had the better percentages from the field, from three-point range, and at the free-throw line. Yet New York won 100-95. Several statistical factors help explain the difference.
1. New York protected its possessions
The Knicks committed 11 turnovers, while Minnesota committed 23. This 12-turnover gap was substantial.
Consider the basic sequence of an offensive possession. A team can create a shot, make a shot, miss and recover the rebound, or lose the ball before getting a shot away. Turnovers reduce the number of chances available to score.
New York’s lower turnover total meant it avoided many of the mistakes that interrupted Minnesota’s offense. Although the exact number of points produced from those possessions is not available in the supplied figures, the turnover advantage stands out as a key difference.
2. The Knicks generated more second chances
New York collected 18 offensive rebounds, four more than Minnesota’s 14.
The difference is important because the Knicks made only 34% of their field-goal attempts. When a team misses frequently, recovering the ball can help it create additional scoring chances instead of immediately surrendering possession.
Offensive rebounds do not guarantee points. A second-chance possession can also end in a miss, a turnover, or a foul. Nevertheless, New York’s higher offensive rebound total shows that it recovered more of its own missed shots.
3. New York created more steals
The Knicks recorded 11 steals compared with Minnesota’s six.
A steal is especially valuable because it can end one team’s possession and give the other team the ball. Depending on the situation, it may also create a transition opportunity before the defense gets organized.
The five-steal advantage supports the broader picture of New York being more effective at disrupting Minnesota’s possessions. However, steals and turnovers should not be treated as interchangeable statistics. Not every turnover is a steal, and not every steal results in an immediate basket.
4. The fourth quarter changed the game
Minnesota led 71-63 after three quarters. New York scored 27 points in the fourth, while Minnesota scored 19.
That eight-point quarter advantage erased Minnesota’s six-point lead and tied the game at 90.
The fourth-quarter result was more influential than the relatively small differences in assists, free throws, or total rebounds. It was the period when New York converted its overall competitive position into a tie.
5. The Knicks scored twice as much in overtime
New York scored 10 overtime points, while Minnesota managed five.
The Knicks’ final five-point winning margin came after the teams had already played to a tie through regulation. In a short extra period, a few successful possessions can have an outsized impact on the result.
The supplied statistics do not identify the precise overtime scoring sequence, so it would be inappropriate to claim that a particular player or play determined the finish. What the score confirms is that New York executed more successfully in the extra period.
Statistical Insights: What the Numbers Really Mean
A box score is most useful when statistics are interpreted together rather than treated as isolated rankings.
Shooting percentage versus scoring volume
Minnesota’s better shooting percentages might suggest a clear offensive advantage at first glance. But the Knicks attempted 102 field goals compared with Minnesota’s 85.
New York made 35 field goals, while Minnesota made 32. Despite its lower percentage, the Knicks’ greater shot volume helped them score more points.
This illustrates why analysts consider both efficiency and opportunity. A team may convert a high percentage of limited chances but still produce fewer points than a team that creates substantially more attempts.
The value of offensive rebounds
New York’s 18 offensive rebounds are relevant to its 102 field-goal attempts. When a team recovers a missed shot, it can attempt another shot without allowing the opponent to take possession.
The relationship between offensive rebounds and shot attempts is important, but the supplied numbers do not show the exact number of attempts created by each rebound. A complete possession log would be required to calculate that precisely.
The turnover gap and effective possession management
Minnesota’s 23 turnovers were more than twice New York’s 11. That is a striking difference in a game decided by five points.
It does not follow that every turnover cost Minnesota exactly one point, or that removing all 12 excess turnovers would have guaranteed a win. Possessions have different outcomes, and a shot after a turnover might not have been converted.
Still, a team that repeatedly loses the ball gives itself fewer chances to benefit from its shooting strengths. This is one reason turnover rate is often useful when comparing teams with different shooting profiles.
A simple efficiency calculation
An approximate effective field-goal percentage adjusts for the added value of three-point shots:
\[ eFG\%=\frac{FGM+0.5(3PM)}{FGA}\times100 \]
Using the supplied field-goal and three-point totals:
- Minnesota: (32+0.515)/85, or approximately 46.5%.
- New York: (35+0.515)/102, or approximately 41.7%.
This calculation reinforces Minnesota’s advantage in shooting efficiency. It does not include free throws or turnovers, so it cannot measure the entire offensive performance.
A more complete analysis might also examine true shooting percentage, which incorporates free throws, and offensive rating, which estimates points scored per 100 possessions. Exact values should not be reported without the necessary verified inputs.
What This Preseason Game Tells Us
Preseason results can be informative, but they need to be interpreted carefully. Coaches use these games to assess combinations, test roles, evaluate conditioning, and prepare players for the regular season.
The Knicks’ victory provides several observations about this particular game.
First, New York demonstrated that it could remain competitive despite poor outside shooting. The team made 15 of 57 three-point attempts, but it compensated in part through offensive rebounding and ball security.
Second, Minnesota showed that strong shooting percentages do not guarantee a win. The Timberwolves converted a greater share of their shots but lost too many possessions to turnovers.
Third, the game remained close enough that fourth-quarter execution mattered. Minnesota had the advantage after three quarters, but New York outscored it in the fourth and overtime.
These are observations about the game, not proof of either team’s long-term strengths or weaknesses. One preseason matchup cannot establish how either team will perform over an entire NBA season.
What the result does not prove
Several limitations matter when drawing conclusions from this box score:
- It does not establish which team had the better regular-season outlook.
- It does not provide enough information to rank every player’s individual performance.
- It does not show the full impact of player minutes, substitutions, or lineup combinations.
- It does not establish how many points came directly from turnovers or offensive rebounds.
- It does not justify projecting the same shooting percentages or turnover totals into future games.
A careful analysis separates what the numbers show from what they might suggest. That distinction is particularly important when discussing preseason basketball.
How to Read a Basketball Player Box Score
Readers searching for player statistics can get more value from the numbers by following a consistent process.
Step 1: Start with points and minutes
Points reveal scoring output, but minutes provide essential context. A player who scores 12 points in 15 minutes has a different workload from a player who scores 12 points in 35 minutes.
Because the supplied summary does not include complete individual minutes, it cannot support reliable per-minute comparisons between all players.
Step 2: Check field-goal attempts
Field goals made show scoring volume, while attempts help explain the effort required to produce that volume. Three-pointers and free throws should also be considered separately because they have different scoring values.
In this game, Minnesota’s 38% field-goal percentage was higher than New York’s 34%. However, New York attempted considerably more shots.
Step 3: Examine rebounds by type
Total rebounds show how many missed shots a team recovered, but offensive and defensive rebounds have different purposes.
Offensive rebounds can extend a team’s possession. Defensive rebounds usually end the opponent’s possession. New York’s four-rebound advantage on offense was therefore more revealing than the tied total of 55 rebounds.
Step 4: Look at assists and turnovers together
Assists provide one measure of passing that leads to made baskets. Turnovers show how often a team loses possession.
The Knicks recorded 22 assists and 11 turnovers. Minnesota recorded 20 assists and 23 turnovers.
This comparison gives a clearer picture than looking at assists alone. New York recorded slightly more assists while committing substantially fewer turnovers.
Step 5: Consider defensive statistics
Steals and blocks reveal different aspects of defensive activity. New York’s 11 steals and Minnesota’s seven blocks indicate that each team produced a different type of defensive contribution.
Neither statistic alone measures overall defensive quality. Defensive positioning, contested shots, opponent shooting, and defensive rebounds also matter.
Step 6: Read the quarter scores
Quarter-by-quarter scores explain how a final result developed. A team may lead for most of a game and still lose because of one poor quarter or overtime.
Here, Minnesota led by six after three quarters, but New York tied the game with an eight-point advantage in the fourth. The Knicks then won overtime by five points.
This sequence is essential context for understanding the final score.
Official Box Score and Data Reliability
For readers who want to check the underlying figures, the ESPN NBA box score for this matchup is the relevant reference supplied for the game.
The game summary identifies the event as a preseason contest played on October 10, 2025, at Madison Square Garden, with an attendance of 18,344. The final score was New York 100, Minnesota 95.
One detail deserves care: the supplied summary also mentions a separate season-series display showing the teams tied 1-1. Because the listed event is identified as a preseason game, that season-series note may refer to a separate matchup summary or another context. It should not be interpreted as proof that this preseason result itself established a regular-season series record.
There is also a difference between the team-level statistics supplied here and a complete player box score. The summary gives selected player points, rebounds, and assists, but not every player’s full line. Therefore, it would be misleading to fill in missing shooting splits, minutes, steals, blocks, or plus/minus figures from assumptions.
Plus/minus, when available, represents the team’s net point differential while a player is on the court. It does not mean that every point scored or conceded was caused by that player. It is most useful when considered alongside minutes, lineup context, and other statistics.
The most reliable way to interpret this game is to use the confirmed totals for the conclusions they support, and to leave individual details unreported when the underlying data is unavailable.
Frequently Asked Questions
1. Who won the Timberwolves vs Knicks game on October 10, 2025?
The New York Knicks defeated the Minnesota Timberwolves 100-95 in overtime during their preseason matchup at Madison Square Garden in New York.
2. Who was the leading scorer in the game?
Anthony Edwards led all listed scorers with 17 points for Minnesota. Mikal Bridges was New York’s leading scorer with 15 points.
3. How many rebounds did Rudy Gobert record?
Rudy Gobert recorded 11 rebounds, making him Minnesota’s leading rebounder in the supplied game summary. Karl-Anthony Towns also recorded 11 rebounds for New York.
4. Why did the Knicks win despite shooting a lower percentage?
New York committed 11 turnovers compared with Minnesota’s 23, recorded 18 offensive rebounds compared with 14, and had five more steals. The Knicks also outscored Minnesota in the fourth quarter and overtime.
5. How did the teams perform from three-point range?
Both teams made 15 three-pointers. Minnesota attempted 38 and shot 39%, while New York attempted 57 and shot 26%, according to the supplied statistics.
6. Was this a regular-season or preseason game?
The supplied game information identifies the matchup as an NBA preseason game played on October 10, 2025. The Knicks won 100-95 after overtime.
Conclusion
The timberwolves vs knicks match player stats tell the story of a competitive preseason game decided by possession management and late-game execution. Minnesota received 17 points from Anthony Edwards, 16 from Julius Randle, and 11 rebounds from Rudy Gobert. New York was led by Mikal Bridges with 15 points, while Karl-Anthony Towns contributed 10 points and 11 rebounds.
The most important statistical contrast was the turnover count. Minnesota committed 23 turnovers, while New York committed 11. The Knicks also collected four more offensive rebounds and recorded five more steals. Those advantages helped New York overcome its lower field-goal and three-point percentages.
The scoring sequence was equally important. Minnesota led 71-63 after three quarters, but New York outscored the Timberwolves 27-19 in the fourth quarter to force overtime. The Knicks then won the extra period 10-5 to secure the 100-95 result.
These figures provide a clear explanation of the game without overstating what one preseason performance can prove. The result illustrates why player scoring, shooting efficiency, rebounding, turnovers, and quarter-by-quarter performance should be considered together when evaluating an NBA matchup.
