Orlando Magic vs Knicks Match Player Stats
The orlando magic vs knicks match player stats from the November 13, 2025 meeting at Madison Square Garden tell a much clearer story than the final score alone. Orlando defeated New York 124-107, but the most useful part of the box score is understanding how that 17-point margin was created. Orlando shot 49% from the field, made 12 three-pointers, converted 28 of 33 free throws, collected 49 rebounds, and finished with 29 assists. New York had a strong 31-point performance from Jalen Brunson, but the Knicks struggled to match Orlando’s overall efficiency and production.
This game was also notable because both teams entered with winning records. Orlando was 6-6 overall and 3-3 on the road, while New York was 7-4 and an impressive 7-1 at home. That made the result more significant than a routine regular-season win. Orlando had already taken a 1-0 lead in the season series at the time of this matchup, and the second meeting showed how effectively the Magic could attack a Knicks team that had been difficult to beat at Madison Square Garden.
The final score was Orlando 124, New York 107. The quarter-by-quarter scoring explains when the game moved away from the Knicks.
| Quarter | Orlando Magic | New York Knicks |
| 1st | 30 | 23 |
| 2nd | 32 | 19 |
| 3rd | 29 | 31 |
| 4th | 33 | 34 |
| Final | 124 | 107 |
The most important detail is the second quarter. Orlando scored 32 points while limiting New York to just 19. That 13-point advantage created a cushion that the Knicks could not erase, even after winning the third and fourth quarters.
Orlando Magic vs Knicks Match Player Stats
When evaluating orlando magic vs knicks match player stats, it helps to separate individual scoring from team efficiency. Franz Wagner led Orlando with 28 points, while Desmond Bane added 22. Jalen Suggs scored 14 and Wendell Carter Jr. contributed 13.
For New York, Jalen Brunson was the clear scoring leader with 31 points. Karl-Anthony Towns added 15, while OG Anunoby finished with 8.
Orlando Magic player scoring
| Player | Points |
| Franz Wagner | 28 |
| Desmond Bane | 22 |
| Jalen Suggs | 14 |
| Wendell Carter Jr. | 13 |
The supplied box-score data identifies these four Orlando players as the team’s leading scorers. The starting five were Paolo Banchero, Franz Wagner, Wendell Carter Jr., Desmond Bane, and Jalen Suggs.
Franz Wagner’s 28 points were the highest individual total for Orlando. His scoring was particularly important because Orlando did not need one player to dominate the entire offensive workload. Instead, the Magic received meaningful scoring from multiple starters.
Desmond Bane’s 22 points gave Orlando a second reliable scoring option. Having two players above 20 points made it harder for New York to focus its defensive attention on Wagner.
Jalen Suggs scored 14, while Wendell Carter Jr. added 13. Those totals are important in the context of the overall team performance because Orlando’s offense was not dependent on only one or two players.
New York Knicks player scoring
| Player | Points |
| Jalen Brunson | 31 |
| Karl-Anthony Towns | 15 |
| OG Anunoby | 8 |
Jalen Brunson produced the highest individual scoring performance in the game with 31 points. That is one of the clearest examples of why a single player’s scoring total cannot always explain the outcome.
Brunson scored more than Wagner, Bane, Suggs, or Carter individually, yet New York still lost by 17. Orlando’s advantage came from the collective performance of the team rather than a single scoring outburst.
Karl-Anthony Towns finished with 15 points, and OG Anunoby scored 8. Based on the supplied data, New York’s leading scorers did not receive enough scoring support to keep pace with Orlando’s 124-point offensive output.
Why Orlando Won by 17 Points
A 17-point final margin can sometimes be misleading. A team may lead for most of a game and then pull away late, or it may build a large early advantage before the opponent makes the final score look closer.
That was not exactly what happened here.
Orlando established control early.
The Magic led 30-23 after the first quarter, then expanded the advantage dramatically in the second. Orlando’s 32 points in the second quarter compared with only 19 from New York.
At halftime, Orlando had scored 62 points and New York had scored 42.
That 20-point halftime advantage became the central statistical feature of the game.
New York did respond after halftime. The Knicks scored 31 points in the third quarter compared with Orlando’s 29. They also scored 34 in the fourth while Orlando scored 33.
In other words, New York actually outscored Orlando by three points across the second half.
But the Knicks entered that second half down by 20.
The lesson is simple: late-game scoring cannot always compensate for poor middle-game production. Orlando’s second-quarter performance created enough separation to absorb New York’s second-half response.
Shooting Efficiency Comparison
One of the strongest indicators in this box score is field-goal percentage.
Orlando shot 42 of 86 from the field.
That works out to approximately 48.8%, which rounds to the reported 49%.
New York shot 39 of 88, or approximately 44.3%.
That creates a meaningful efficiency gap.
| Shooting category | Orlando | New York |
| Field goals | 42-86 | 39-88 |
| FG percentage | 49% | 44% |
| Three-pointers | 12-33 | 11-36 |
| 3PT percentage | 36% | 31% |
| Free throws | 28-33 | 18-23 |
| FT percentage | 85% | 78% |
The difference was not enormous from three-point range. Orlando made only one more three-pointer than New York.
The bigger difference came from overall field-goal efficiency and free-throw production.
Orlando made three more field goals despite taking two fewer attempts.
That means the Magic converted their opportunities at a higher rate.
The free-throw difference is even more striking.
Orlando made 28 of 33 free throws.
New York made 18 of 23.
That produced a 10-point advantage at the free-throw line.
A 10-point difference from free throws is substantial in a game decided by 17 points.
It also demonstrates why simply looking at three-point shooting can lead to an incomplete interpretation of a basketball game.
Orlando’s Three-Point Advantage
Orlando made 12 of 33 attempts from three-point range, while New York made 11 of 36.
The Magic therefore made one additional three-pointer while taking three fewer attempts.
Orlando’s 36% three-point rate was also better than New York’s 31%.
The difference was not large enough to explain the entire 17-point result, but it contributed to Orlando’s offensive efficiency.
The important point is that Orlando did not need an overwhelming three-point shooting night.
The Magic were effective enough from outside while also shooting better overall and generating more free throws.
That combination is often more difficult for a defense to overcome than relying on one shooting category.
Free Throws Were a Major Part of the Result
The free-throw numbers deserve special attention.
Orlando attempted 33 free throws and made 28.
New York attempted 23 and made 18.
That means Orlando scored 10 more points at the line.
The Magic also converted at an 85% rate compared with 78% for the Knicks.
There are two separate advantages here.
First, Orlando generated more free-throw attempts.
Second, Orlando converted those attempts more efficiently.
When a team receives 33 free throws, the ability to convert them at 85% becomes especially valuable. Orlando left only five points at the line.
New York left five as well, despite attempting 10 fewer free throws.
So the difference was almost entirely about opportunity volume rather than missed free throws.
Rebounding: Orlando Controlled the Glass
Orlando finished with 49 rebounds.
New York had 37.
That is a 12-rebound advantage for the Magic.
| Team | Rebounds |
| Orlando Magic | 49 |
| New York Knicks | 37 |
| Difference | Orlando +12 |
A 12-rebound gap is one of the clearest team-level advantages in the box score.
Rebounding matters because it affects both ends of the court.
Defensive rebounds can end possessions and prevent second chances.
Offensive rebounds can extend possessions and create additional opportunities.
The supplied data does not provide the offensive and defensive rebound breakdown, so it would be inappropriate to claim exactly how many extra offensive possessions Orlando generated from offensive rebounding.
What can be stated confidently is that Orlando finished with 12 more total rebounds.
That is a substantial difference and fits the broader picture of a Magic team that controlled several areas of the game.
Ball Movement and Playmaking
Orlando recorded 29 assists.
New York recorded 20.
That gives Orlando a nine-assist advantage.
| Team | Assists |
| Orlando Magic | 29 |
| New York Knicks | 20 |
| Difference | Orlando +9 |
This is another important reason the game should not be reduced to individual scoring totals.
New York had the game’s top scorer in Brunson, but Orlando generated more team assists.
The Magic’s 29 assists on 42 made field goals mean a large portion of their successful field goals came through assisted offense.
The Knicks had 20 assists on 39 made field goals.
The gap suggests a more connected offensive performance from Orlando, although assists alone cannot prove exactly how every possession was created.
Still, when combined with Orlando’s superior field-goal percentage, rebounding advantage, and free-throw advantage, the assist numbers support the broader conclusion that Orlando produced the more effective team offense.
Turnovers Were Relatively Close
Turnovers were not the major reason for the final result.
Orlando committed 15 turnovers.
New York committed 14.
That means the Knicks had a one-turnover advantage.
| Team | Turnovers |
| Orlando Magic | 15 |
| New York Knicks | 14 |
This is important because it prevents an overly simplistic explanation.
Orlando did not win because New York committed a huge number of turnovers.
In fact, New York turned the ball over slightly less.
The Magic’s victory was built more around shooting, free throws, rebounding, assists, and their dominant second quarter.
That is a useful analytical distinction.
When examining any box score, it is tempting to search for one statistic that explains everything. Strong analysis instead looks for several numbers pointing in the same direction.
Here, several numbers point toward Orlando.
Steals and Defensive Activity
Both teams recorded 10 steals.
Orlando had 10 steals.
New York also had 10.
The teams therefore finished even in steals.
Blocks were slightly different.
Orlando recorded four blocks, while New York had three.
| Defensive statistic | Orlando | New York |
| Steals | 10 | 10 |
| Blocks | 4 | 3 |
The defensive statistics show that the Magic did not overwhelm New York through steals alone.
Both teams created 10 steals.
The difference was modest in blocked shots as well.
This reinforces the idea that Orlando’s advantage came from a broader combination of offensive efficiency, rebounding, free throws, and scoring balance.
Jalen Brunson’s 31 Points Were Not Enough
Jalen Brunson’s 31 points were the highest individual scoring total in the game.
That performance deserves recognition even though New York lost.
The important analytical question is not whether Brunson scored enough in isolation. It is whether New York’s overall offensive output was sufficient to keep pace with Orlando.
It was not.
New York scored 107 points.
Orlando scored 124.
The 17-point difference remained despite Brunson producing 31 points.
This illustrates a common basketball principle: high individual scoring does not guarantee team success.
A player’s impact must be considered within the team’s efficiency, supporting production, defensive performance, and possession outcomes.
Brunson’s scoring kept New York competitive, particularly as the Knicks improved in the second half. But Orlando had already created a large lead before the game entered its final two quarters.
Franz Wagner’s 28 Points and Orlando’s Balanced Attack
Franz Wagner led Orlando with 28 points.
That was 10 fewer points than Brunson’s total, yet Orlando won comfortably.
The comparison demonstrates the difference between individual scoring and offensive balance.
Orlando had four listed leading scorers who combined for 77 points:
- Franz Wagner: 28
- Desmond Bane: 22
- Jalen Suggs: 14
- Wendell Carter Jr.: 13
New York’s three listed leading scorers combined for 54 points:
- Jalen Brunson: 31
- Karl-Anthony Towns: 15
- OG Anunoby: 8
The supplied player data does not include every player’s scoring total, so these combined figures should not be interpreted as the complete team scoring breakdown.
Still, the listed leaders show an important contrast.
Orlando’s top four scorers were more evenly distributed.
New York leaned heavily on Brunson for its highest scoring output.
That balance helped Orlando maintain offensive pressure across the game.
The Second Quarter Changed the Game
If a reader only has time to study one section of the box score, the second quarter is arguably the best place to start.
Orlando scored 32.
New York scored 19.
The Magic won the quarter by 13 points.
The first quarter was also favorable to Orlando, 30-23.
By halftime, the Magic had built a 20-point advantage.
The Knicks then won the third quarter 31-29 and the fourth quarter 34-33.
That means New York showed clear improvement after halftime.
However, Orlando did not need to win the second half.
The damage had already been done.
This is a useful way to interpret game flow. A team does not necessarily need to dominate every quarter to win comfortably. One extended stretch of high-quality basketball can determine the outcome if the opponent cannot fully recover.
Comparing the Starting Lineups
The starting lineups provide additional context.
Orlando Magic starters
- Paolo Banchero
- Franz Wagner
- Wendell Carter Jr.
- Desmond Bane
- Jalen Suggs
New York Knicks starters
- OG Anunoby
- Karl-Anthony Towns
- Mitchell Robinson
- Mikal Bridges
- Jalen Brunson
These lineups show that both teams entered the game with established core players.
For Orlando, Wagner, Bane, Suggs, and Carter Jr. all appear among the provided leading scorers.
For New York, Brunson led the scoring, with Towns and Anunoby also listed among the team’s key scorers.
The supplied data does not provide complete individual statistics such as minutes, rebounds, assists, steals, blocks, field-goal attempts, or plus-minus for every starter. Therefore, those figures should not be invented or inferred.
That distinction matters when building a trustworthy game analysis.
A box score can tell us a great deal, but it can only support claims that are actually contained in the available data.
What the Team Numbers Say About Orlando
The overall statistical profile of Orlando’s performance is strong.
The Magic finished with:
- 124 points
- 49% field-goal shooting
- 36% three-point shooting
- 85% free-throw shooting
- 49 rebounds
- 29 assists
- 10 steals
- 4 blocks
They also committed 15 turnovers.
The most impressive feature is the combination of efficiency and volume.
Orlando took 86 field-goal attempts and made 42.
The Magic took 33 three-point attempts and made 12.
They attempted 33 free throws and made 28.
This produced a 124-point total without requiring an extreme three-point performance.
The rebounding and assist advantages added another layer to the result.
What the Team Numbers Say About New York
New York’s final numbers were:
- 107 points
- 44% field-goal shooting
- 31% three-point shooting
- 78% free-throw shooting
- 37 rebounds
- 20 assists
- 10 steals
- 3 blocks
- 14 turnovers
The Knicks were not completely outplayed in every category.
They committed one fewer turnover.
They matched Orlando’s 10 steals.
They also won both the third and fourth quarters.
But they were behind in several high-impact categories.
The biggest gaps were:
- 12 fewer rebounds
- 9 fewer assists
- 10 fewer made free throws
- Lower field-goal percentage
- Lower three-point percentage
- A 20-point halftime deficit
Taken together, those numbers explain the 17-point loss much better than any single statistic.
A Simple Statistical Formula for Understanding the Result
One practical way to read this game is to group the statistics into four areas.
1. Scoring efficiency
Orlando shot 49% from the field compared with 44% for New York.
2. Scoring opportunities
Orlando attempted 33 free throws compared with 23 for New York.
3. Possession control
Orlando had 49 rebounds compared with 37.
4. Offensive connection
Orlando recorded 29 assists compared with New York’s 20.
These four categories tell a coherent story.
Orlando converted shots at a higher rate, created more free-throw opportunities, controlled the rebounding battle, and recorded more assists.
That combination produced 124 points.
New York’s ability to limit turnovers and win the second half was not enough to offset those disadvantages.
Why the Final Score Can Be Misleading Without Context
A final score tells you who won and by how much.
It does not tell you why.
For example, seeing “Orlando 124, New York 107” might lead someone to assume Orlando dominated from start to finish.
The quarter scores reveal something more nuanced.
Orlando won the first half by a large margin.
New York actually performed better in the second half.
That distinction matters.
The Knicks did not collapse for all 48 minutes.
Instead, they fell behind significantly in the first half and then played a more competitive game after halftime.
This is why serious game analysis should combine the final score with quarter scoring and team statistics.
The Importance of Context When Reading Player Stats
Individual statistics are most useful when placed into team context.
Brunson’s 31 points are impressive.
Wagner’s 28 points are also impressive.
Bane’s 22-point contribution gave Orlando another significant scoring option.
But neither team’s leading scorer should be evaluated independently from the rest of the box score.
For Orlando, the 28-point performance from Wagner was part of a 124-point team effort.
For New York, Brunson’s 31 points were part of a 107-point team effort.
That difference is crucial.
The Magic produced 17 more total points even though their top scorer had three fewer points than Brunson.
The lesson is not that individual scoring is unimportant.
It is that basketball outcomes are usually determined by the interaction of individual and team performance.
Season-Series Context
The supplied information states that Orlando led the season series 1-0 at the time of the November 13 game.
That gives the matchup additional context.
New York entered with a 7-4 record and was 7-1 at home.
Orlando entered 6-6 overall and 3-3 away.
On paper, the Knicks had the stronger overall record and an excellent home record.
Yet Orlando won at Madison Square Garden by 17 points.
That makes the result particularly useful for evaluating how much weight should be placed on home-court performance and pregame records.
Records provide context.
They do not determine the result.
The actual game statistics provide the evidence for what happened on the court.
Madison Square Garden Attendance and Game Setting
The game was played at Madison Square Garden in New York, New York.
The reported attendance was 19,812.
A full arena is part of the context of a road win, especially when the home team had entered the game with a 7-1 home record.
However, attendance itself does not explain the statistical result.
The more meaningful evidence is that Orlando won despite playing away from home and despite New York’s strong home record.
The Magic’s statistical execution was sufficient to overcome that setting.
How to Use This Box Score for Future Matchups
The value of studying a detailed game like this extends beyond one result.
When comparing Orlando and New York in future meetings, several areas deserve attention.
Watch field-goal efficiency
The difference between 49% and 44% was meaningful.
A future matchup should be evaluated partly on whether either team can reproduce or reverse that efficiency gap.
Watch free-throw volume
Orlando’s 33 attempts compared with New York’s 23 created a 10-made-free-throw advantage.
Free-throw attempts can vary significantly from game to game, so they should be monitored rather than treated as a fixed team characteristic.
Watch rebounding
The 49-37 rebounding advantage was one of the largest statistical gaps.
If New York controls the glass in another meeting, the shape of the game could be very different.
Watch scoring distribution
Orlando received major scoring contributions from Wagner and Bane, while Brunson was New York’s clear leading scorer.
Future matchups should be examined for whether Orlando continues to receive balanced scoring and whether New York gets stronger support around Brunson.
Watch the first half
The second-quarter numbers were decisive in this game.
If New York avoids another major first-half deficit, its second-half competitiveness suggests the game could become much tighter.
Common Mistakes When Comparing NBA Player Stats
There are several easy mistakes to make when analyzing a matchup like this.
Mistake 1: Looking only at the highest scorer
Brunson scored 31, but New York lost by 17.
The top scorer is important, but the team result depends on much more.
Mistake 2: Treating three-point shooting as the entire offensive story
Orlando made only one more three-pointer.
The bigger advantages came from overall field-goal efficiency and free throws.
Mistake 3: Ignoring rebounds
The 12-rebound gap is too large to overlook.
Mistake 4: Ignoring game flow
The Knicks won the second half, but Orlando’s first-half advantage was too large to overcome.
Mistake 5: Filling missing statistics with assumptions
If the available data does not provide an individual player’s rebounds, assists, minutes, or shooting attempts, those numbers should not be guessed.
This is especially important for readers who use box scores for fantasy basketball analysis, historical research, sports writing, or statistical comparison.
What Fantasy Basketball Readers Can Learn
Fantasy basketball analysis requires more than simply identifying the winning team.
The most obvious individual fantasy-relevant performances in the supplied data are Wagner’s 28 points, Bane’s 22, Suggs’ 14, Carter Jr.’s 13, and Brunson’s 31.
However, points alone are not enough to calculate a player’s complete fantasy value.
The supplied game data does not include complete individual rebounds, assists, steals, blocks, turnovers, shooting splits, or minutes for each player.
Therefore, the safest conclusion is that Brunson and Wagner were the leading individual scorers for their respective teams, while Orlando’s broader statistical performance was stronger.
For fantasy purposes, readers should consult the complete individual box score before making decisions based on categories not included in the supplied data.
What Betting and Matchup Analysis Can Learn
A single historical game should never be treated as a guarantee for a future outcome.
However, the numbers provide useful evidence about what happened in this particular matchup.
Orlando won despite entering with the less impressive overall record and a weaker away record than New York’s home mark.
The Magic achieved this by outperforming New York in several measurable areas.
Those include:
- Field-goal percentage
- Three-point percentage
- Free-throw attempts and makes
- Rebounding
- Assists
- First-half scoring
At the same time, New York had fewer turnovers and matched Orlando in steals.
This makes the game a useful example of why matchup analysis should consider multiple statistical categories rather than relying on records alone.
What We Can Confidently Conclude
The available data supports several clear conclusions.
Orlando won 124-107.
Franz Wagner was Orlando’s top listed scorer with 28 points.
Desmond Bane scored 22.
Jalen Suggs scored 14.
Wendell Carter Jr. scored 13.
Jalen Brunson led all listed scorers with 31 points.
Karl-Anthony Towns scored 15.
OG Anunoby scored 8.
Orlando shot 49% from the field.
New York shot 44%.
Orlando made 12 three-pointers compared with 11 for New York.
Orlando made 28 free throws compared with 18 for New York.
Orlando outrebounded New York 49-37.
Orlando recorded 29 assists compared with New York’s 20.
Both teams had 10 steals.
Orlando had four blocks compared with New York’s three.
New York committed 14 turnovers while Orlando committed 15.
Most importantly, Orlando built a 20-point halftime lead.
These facts provide a strong explanation for the final result without requiring unsupported assumptions.
What the Available Data Does Not Tell Us
A trustworthy analysis should also explain its limits.
The supplied data does not provide complete individual statistics for every player.
It does not provide:
- Minutes played for each player
- Individual rebounds for every player
- Individual assists for every player
- Individual steals and blocks for every player
- Individual shooting splits for every player
- Individual plus-minus figures
- Offensive and defensive rebound breakdowns
- Shot location data
- Possession-by-possession information
- Lineup efficiency data
Because those figures were not supplied, they should not be presented as confirmed facts.
This is an important distinction between a detailed analysis and fabricated completeness.
A good box-score article should answer the reader’s question with the available evidence while clearly separating known information from information that requires a complete statistical database.
Final Takeaway
The orlando magic vs knicks match player stats from November 13, 2025 show a game in which team balance and efficiency outweighed one outstanding individual scoring performance.
Jalen Brunson’s 31 points made him the game’s leading scorer, but Franz Wagner’s 28 points led an Orlando offense that produced 124 points.
The decisive difference was not simply one player.
Orlando shot better from the field, converted more free throws, grabbed 12 more rebounds, recorded nine more assists, and built a 20-point halftime advantage.
New York responded strongly in the second half, winning both the third and fourth quarters. That response demonstrated that the Knicks were capable of competing after halftime, but the early deficit was too large to erase.
The most useful lesson from this matchup is that player statistics become far more meaningful when they are connected to team-level numbers and game flow. A 31-point performance can coexist with a 17-point loss, just as a 28-point performance can be part of a balanced team victory.
For readers studying this matchup, the box score is therefore best understood as a collection of connected signals rather than a list of isolated numbers. Orlando’s 124 points, 49 rebounds, 29 assists, 49% field-goal shooting, and 28 made free throws collectively explain why the Magic left Madison Square Garden with a convincing win.
Frequently Asked Questions
Who was the top scorer in the Orlando Magic vs Knicks game?
Jalen Brunson was the highest listed scorer with 31 points for New York. Franz Wagner led Orlando with 28 points.
What was the final score between Orlando and New York?
Orlando defeated New York 124-107 on November 13, 2025, at Madison Square Garden.
Which team shot better from the field?
Orlando shot 49% from the field, while New York shot 44%.
How many rebounds did each team have?
Orlando recorded 49 rebounds, while New York recorded 37. Orlando therefore had a 12-rebound advantage.
How many three-pointers did Orlando and New York make?
Orlando made 12 of 33 three-point attempts. New York made 11 of 36.
Why did Orlando win despite Brunson scoring 31 points?
Orlando received more balanced scoring and also held advantages in field-goal percentage, free throws, rebounds, assists, and first-half scoring. The Magic built a 20-point halftime lead that New York could not overcome.
Conclusion
The November 13, 2025 matchup between Orlando and New York offers a strong example of why NBA box scores should be read as a complete statistical picture.
Orlando’s 124-107 victory was supported by superior shooting efficiency, a 12-rebound advantage, nine more assists, 10 additional made free throws, and a dominant second quarter.
New York’s 31-point performance from Jalen Brunson was the game’s best individual scoring effort, but Orlando’s broader contribution across the lineup proved more important to the final result.
The quarter scores also add valuable context. Orlando controlled the first half, while New York improved considerably after halftime. That makes the 17-point final margin easier to understand and gives a more accurate picture of how the game developed.
The clearest takeaway is that individual scoring tells only part of an NBA story. The strongest analysis combines player production with shooting efficiency, rebounding, assists, turnovers, free throws, and quarter-by-quarter performance.
