Knicks vs Toronto Raptors Match Player Stats
The knicks vs toronto raptors match player stats from the January 2026 meeting tell a much deeper story than the final score alone. The New York Knicks defeated the Toronto Raptors 119-92 at Scotiabank Arena, but the most useful way to understand the game is through the individual performances, shooting efficiency, rebounding, playmaking, defensive activity, turnovers, and the dramatic shift after Toronto’s strong opening quarter.
There is also a small date detail worth clearing up at the start. ESPN lists the game as January 28, 2026 because the game began at 7:30 PM Eastern Time in Toronto. In some international locations, including Pakistan, that game appeared during the early hours of January 29. This is why both January 28 and January 29 can appear in searches for the same matchup.
The Knicks entered the game with a 29-18 record, while the Raptors were 29-20. Toronto started quickly and led 28-18 after the opening period. New York then changed the game with a 29-point second quarter, a 35-point third quarter, and a 37-point fourth quarter. The result was a 27-point victory after the Raptors had led by as many as 12 points.
The individual numbers make the turnaround especially interesting. Mikal Bridges scored 30 points on an exceptional 12-of-15 shooting, OG Anunoby added 26 points and six steals, Josh Hart scored 22, and Karl-Anthony Towns collected 22 rebounds. On the Toronto side, Brandon Ingram led all Raptors scorers with 27 points, while Scottie Barnes posted 17 points and 10 rebounds.
Knicks vs Toronto Raptors Match Player Stats
The most important player numbers from the game are summarized below.
| Player | Team | MIN | PTS | FG | 3PT | FT | REB | AST | STL | BLK |
| Mikal Bridges | Knicks | 36 | 30 | 12-15 | 4-6 | 2-2 | 1 | 4 | 1 | 1 |
| OG Anunoby | Knicks | 34 | 26 | 11-18 | 2-6 | 2-3 | 3 | 5 | 6 | 2 |
| Josh Hart | Knicks | 35 | 22 | 7-11 | 4-7 | 4-6 | 5 | 6 | 2 | 0 |
| Jalen Brunson | Knicks | 30 | 13 | 5-13 | 0-3 | 3-3 | 1 | 4 | 0 | 1 |
| Karl-Anthony Towns | Knicks | 35 | 8 | 3-11 | 0-2 | 2-2 | 22 | 2 | 0 | 1 |
| Tyler Kolek | Knicks | 20 | 5 | 2-4 | 1-1 | 0-0 | 1 | 10 | 0 | 0 |
| Landry Shamet | Knicks | 21 | 9 | 3-10 | 3-9 | 0-0 | 4 | 1 | 1 | 0 |
| Brandon Ingram | Raptors | 34 | 27 | 10-16 | 1-3 | 6-6 | 6 | 2 | 3 | 0 |
| Scottie Barnes | Raptors | 32 | 17 | 6-13 | 1-3 | 4-5 | 10 | 5 | 0 | 1 |
| RJ Barrett | Raptors | 24 | 14 | 3-13 | 1-4 | 7-8 | 8 | 3 | 0 | 0 |
| Immanuel Quickley | Raptors | 30 | 7 | 3-9 | 1-2 | 0-0 | 4 | 3 | 1 | 0 |
| Collin Murray-Boyles | Raptors | 28 | 4 | 1-2 | 0-0 | 2-4 | 5 | 4 | 0 | 4 |
These figures show why the game cannot be reduced to one scoring column. New York received elite shooting from Bridges, defensive disruption from Anunoby, rebounding dominance from Towns, and efficient secondary scoring from Hart. Toronto had a strong offensive game from Ingram, but its overall shooting and ball security deteriorated as the game progressed.
Mikal Bridges Delivered the Biggest Scoring Performance
Mikal Bridges was the headline scorer for New York.
He finished with 30 points in 36 minutes, shooting 12-of-15 from the field, 4-of-6 from three-point range, and 2-of-2 from the free-throw line. That translates to 80 percent shooting from the field and 66.7 percent from three.
The efficiency is more revealing than the 30-point total.
Bridges did not need a high volume of attempts to reach 30 points. He took only 15 field-goal attempts and made 12. That means he accounted for a large portion of New York’s scoring while using relatively few possessions.
His third quarter was particularly important. According to the game recap, Bridges scored 19 of his 30 points in the third period. He also made three of four three-point attempts during that quarter.
That timing mattered.
New York entered halftime trailing after Toronto’s 28-point first quarter. Instead of slowly cutting into the deficit, the Knicks produced a major offensive surge after halftime. Bridges became the key scoring catalyst during that stretch.
This is one of the clearest lessons from the player statistics: efficiency combined with timing can matter more than raw shot volume.
Bridges also contributed four assists, one steal, and one block. His box-score line therefore extended beyond scoring.
OG Anunoby Combined Scoring With Elite Defensive Activity
OG Anunoby produced one of the most complete statistical performances for New York.
He scored 26 points, shooting 11-of-18 from the field, while also recording:
- 3 rebounds
- 5 assists
- 6 steals
- 2 blocks
The six steals stand out immediately.
Anunoby’s defensive activity created a different type of pressure on Toronto. A player does not need to score 30 points to influence a game heavily. Steals can create transition opportunities, disrupt passing lanes, and force an offense to spend possessions recovering from lost control.
The ESPN recap noted that Anunoby had a season-high six steals against his former team. His fast-break dunk late in the third quarter also gave New York its first lead of the game at 69-68. That basket began a 15-2 Knicks run to close the period.
That sequence helps explain why Anunoby’s statistics are more meaningful when placed in game context.
His 26 points were important, but the combination of 26 points, six steals, five assists, and two blocks describes a player affecting several areas simultaneously.
Josh Hart Added 22 Points With Strong All-Around Production
Josh Hart quietly produced another important line for New York.
He scored 22 points on 7-of-11 shooting, including 4-of-7 from three-point range. He also recorded five rebounds, six assists, and two steals.
Hart’s six assists were particularly useful because New York did not rely exclusively on its primary ball handler to create offense.
His 22 points also came efficiently. A 7-of-11 shooting performance combined with four made three-pointers gave Toronto another perimeter threat to account for.
This created an important balance.
Toronto could not simply focus defensive attention on Bridges or Brunson. Anunoby and Hart were both capable of converting opportunities, while Towns controlled the glass.
That distribution is visible in the team totals: New York finished with 32 assists compared with Toronto’s 20.
Karl-Anthony Towns Had Only 8 Points But Dominated the Glass
Karl-Anthony Towns is probably the best example of why points alone are not enough when reading player statistics.
He scored only 8 points, shooting 3-of-11 from the field.
At first glance, that looks like a quiet offensive night.
But Towns grabbed 22 rebounds, including seven offensive rebounds and 15 defensive rebounds. He also added two assists and one block.
The 22 rebounds were a season high, according to the game recap. Even more striking, he grabbed 14 rebounds in the second quarter alone.
Those extra possessions mattered.
Offensive rebounds can create second chances without requiring a team to generate a completely new possession through a defensive stop. Defensive rebounds can end possessions and prevent opponents from extending attacks.
Towns therefore influenced the game in an area where the final scoring column does not fully capture his value.
The Knicks finished with a 48-43 advantage on total rebounds and a 13-12 advantage in offensive rebounds.
Tyler Kolek Provided 10 Assists Off the Bench
One of the more interesting numbers in the box score came from Tyler Kolek.
Kolek played 20 minutes and scored five points, but he delivered 10 assists.
That means he recorded more assists than points by a wide margin.
His 10 assists helped New York reach 32 team assists, and his +23 plus/minus was also the highest mark on the Knicks.
A box score should always be read carefully here. Plus/minus is not a measurement of an individual’s entire performance. It represents the team’s net point differential while that player is on the court.
Still, in this particular game, Kolek’s 10 assists fit the broader statistical picture. New York generated more ball movement and finished with 32 assists compared with Toronto’s 20.
Brandon Ingram Led Toronto’s Scoring
Brandon Ingram was Toronto’s leading scorer with 27 points.
He shot an impressive 10-of-16 from the field and made all six of his free throws. He also recorded six rebounds and three steals.
Ingram’s scoring efficiency was one of the strongest individual offensive performances on either side.
His 27 points came from just 16 field-goal attempts, which means Toronto was able to get efficient scoring from its primary offensive contributor.
The problem was that Toronto did not receive enough comparable production around him.
Scottie Barnes scored 17, RJ Barrett scored 14, and the remaining Raptors struggled to maintain efficient scoring as the Knicks increased their defensive pressure.
This created a familiar statistical problem: one strong offensive performance cannot always compensate for inefficient team-wide shooting.
Scottie Barnes Produced a Double-Digit Rebounding Performance
Scottie Barnes finished with:
- 17 points
- 10 rebounds
- 5 assists
- 1 block
- 5 turnovers
The 17 points and 10 rebounds gave Barnes a double-double.
He also contributed five assists, showing that his role was not limited to scoring.
However, the five turnovers are important when assessing the complete offensive picture.
Toronto finished with 20 turnovers, two more than New York. The Knicks turned those opportunities into 21 points off turnovers, while Toronto scored 20 points off New York’s turnovers.
Barnes’ overall production was substantial, but the turnovers illustrate why counting positive statistics alone can hide important parts of a player’s performance.
RJ Barrett Had 14 Points and 8 Rebounds
RJ Barrett finished with 14 points and eight rebounds.
He shot 3-of-13 from the field, although he converted seven of eight free throws.
That split is worth examining because it shows how different scoring methods can affect a player’s final point total.
Barrett did not shoot efficiently from the field, but he generated free-throw opportunities and converted most of them.
Toronto needed more efficient field-goal production because the team eventually finished at only 38 percent from the field.
Collin Murray-Boyles Protected the Rim
Collin Murray-Boyles scored only four points, but he recorded four blocks, the highest total for either team.
His defensive production helped Toronto finish with eight team blocks compared with New York’s five.
This is another useful reminder that a player can have a relatively small scoring role while still appearing prominently in the defensive statistics.
Murray-Boyles also had five rebounds and four assists.
The challenge for Toronto was that defensive rim protection could not offset the team’s offensive decline after halftime.
Team Shooting Explains Much of the Final Score
The Knicks finished:
- 45-of-90 from the field
- 14-of-38 from three
- 15-of-18 from the free-throw line
Toronto finished:
- 30-of-79 from the field
- 7-of-26 from three
- 25-of-29 from the free-throw line
New York therefore shot 50 percent from the field, compared with Toronto’s 38 percent.
The three-point difference was also significant.
New York made 14 threes.
Toronto made seven.
That is a 21-point difference from three-point field goals alone.
Toronto actually shot slightly better from the free-throw line, converting 86 percent compared with New York’s 83 percent. But the free-throw advantage could not overcome the much larger gap in field-goal and three-point production.
The Third Quarter Was the Turning Point
The game changed dramatically after halftime.
Toronto scored 28 points in the first quarter while holding New York to 18.
The Raptors therefore had a 10-point lead after one period.
New York responded with 29 points in the second quarter, cutting the deficit substantially. Then the Knicks exploded for 35 points in the third and 37 in the fourth.
Toronto scored only 19 in the third and 22 in the fourth.
The quarter-by-quarter pattern was:
| Quarter | Knicks | Raptors |
| 1st | 18 | 28 |
| 2nd | 29 | 23 |
| 3rd | 35 | 19 |
| 4th | 37 | 22 |
The third quarter therefore represents the clearest statistical turning point.
The Knicks outscored Toronto by 16 points in that period.
The game recap adds an important detail: New York closed the third quarter on a 15-2 run after Anunoby’s fast-break dunk gave the Knicks their first lead.
That is much more informative than simply saying New York “played better in the second half.”
Why the Knicks Won Despite Towns Scoring Only 8
One of the biggest lessons from this matchup is that New York did not need Towns to be a high-volume scorer.
Instead, Towns dominated the rebounding battle.
Bridges carried the scoring efficiency.
Anunoby contributed points and defensive disruption.
Hart supplied both scoring and playmaking.
Kolek created offense from the bench.
Brunson added 13 points and four assists.
This is what a balanced box score can look like.
The Knicks’ leading scorer had 30 points, but the team did not depend on one player for every statistical category.
New York finished with:
- 119 points
- 48 rebounds
- 32 assists
- 12 steals
- 5 blocks
Toronto finished with:
- 92 points
- 43 rebounds
- 20 assists
- 9 steals
- 8 blocks
The largest team-level difference was not blocks. It was offensive efficiency and playmaking.
Turnovers Helped Shape the Game
Turnovers were another important factor.
New York committed 18 turnovers.
Toronto committed 20.
At first, a two-turnover difference may not appear significant. But turnovers become more important when combined with the scoring generated from them and the timing of those mistakes.
The Knicks scored 21 points off Toronto turnovers.
Toronto scored 20 points off Knicks turnovers.
Therefore, the points-off-turnovers numbers were almost even despite Toronto committing two more turnovers.
That tells us that turnovers alone did not decide the game.
The larger difference came from what happened during half-court possessions and transition opportunities, especially as New York’s shooting improved.
New York Won the Paint Battle
The Knicks scored 60 points in the paint, while Toronto scored 38.
That is a 22-point difference.
This statistic adds another layer to the shooting numbers.
New York was not simply winning because it made more three-pointers. The Knicks also generated considerably more production inside.
The combination of 60 paint points and 14 made threes shows a diversified offensive attack.
Toronto, by comparison, scored 38 points in the paint and made seven threes.
When a team trails badly in both interior scoring and three-point production, it becomes difficult to compensate through free throws alone.
The Plus/Minus Numbers Need Context
The box score includes plus/minus for every player who appeared.
For example, Tyler Kolek finished at +23, while Mikal Bridges and Karl-Anthony Towns each finished at +19.
OG Anunoby was +18, Josh Hart was +10, and Jalen Brunson was +3.
For Toronto, Brandon Ingram was -14, Scottie Barnes was -14, and Immanuel Quickley was -4.
Plus/minus means the team’s net point differential while a player is on the court. It does not mean the player personally scored or prevented that number of points.
This distinction matters.
A player can have a positive plus/minus because teammates played well during his minutes. A player can also have a negative plus/minus despite producing useful individual statistics.
For that reason, plus/minus works best when read alongside minutes, shooting, rebounds, assists, turnovers, and the game situation.
What the Player Stats Say About New York’s Offense
The statistical profile suggests several important characteristics of the Knicks’ performance.
Efficient perimeter scoring
Bridges shot 80 percent from the field.
Hart shot 63.6 percent.
Anunoby shot 61.1 percent.
Those numbers gave New York multiple efficient scoring options.
Multiple playmakers
Hart recorded six assists.
Anunoby had five.
Brunson had four.
Kolek had 10.
The Knicks did not depend on one player to create every basket.
Second-chance opportunities
Towns grabbed seven offensive rebounds.
The Knicks finished with 13 offensive rebounds overall.
That helped compensate for Towns’ low scoring output.
Defensive disruption
Anunoby’s six steals were the standout individual defensive statistic.
New York finished with 12 steals as a team.
That pressure helped Toronto’s offense become less efficient as the game progressed.
What the Player Stats Say About Toronto’s Offense
Toronto’s numbers reveal a different pattern.
Ingram was highly efficient.
Barnes contributed across several categories.
Barrett generated free throws and rebounds.
Murray-Boyles protected the rim.
But the team as a whole shot only 38 percent from the field.
The Raptors also made just seven of 26 three-point attempts.
That made it difficult to maintain their early lead.
The game recap noted that Toronto shot six of 17 from three in the first half but made only one of nine after halftime.
That second-half decline is particularly important.
A team can survive a poor shooting night if it compensates with strong defense, rebounding, transition scoring, or free throws. Toronto did some of those things, but not enough to overcome the Knicks’ offensive surge.
Knicks vs Toronto Raptors Match Player Stats: The Most Important Numbers
If you are looking for the fastest way to understand the game, these numbers tell most of the story:
30 points: Mikal Bridges’ team-high for New York.
27 points: Brandon Ingram’s team-high for Toronto.
26 points: OG Anunoby’s scoring total.
22 points: Josh Hart’s scoring total.
22 rebounds: Karl-Anthony Towns’ game-high.
10 assists: Tyler Kolek’s team-high.
6 steals: OG Anunoby’s game-high.
4 blocks: Collin Murray-Boyles’ team-high.
50 percent: New York’s field-goal percentage.
38 percent: Toronto’s field-goal percentage.
14: New York’s made three-pointers.
7: Toronto’s made three-pointers.
32: Knicks assists.
20: Raptors assists.
60: Knicks points in the paint.
38: Raptors points in the paint.
27: Final margin of victory.
Taken together, those statistics explain the game much more effectively than the final score alone.
How the Match Fits Into the Season Series
The supplied season-series data lists New York winning each of the first three meetings:
- December 1, 2025: Knicks 116, Raptors 94
- December 10, 2025: Knicks 117, Raptors 101
- January 28, 2026: Knicks 119, Raptors 92
ESPN’s season comparison page also records later meetings in March and April, with New York winning those games as well. The page lists New York victories of 111-95 on March 3 and 112-95 on April 10.
This makes the January game part of a broader season series rather than an isolated result.
However, each individual matchup still needs to be evaluated on its own because player availability, rotations, shooting performance, and game conditions can change from one meeting to another.
Why This Box Score Is Useful for Player Analysis
A complete box score can answer several different questions.
If you want to know who scored the most, Bridges and Ingram provide the answer for their respective teams.
If you want to know who controlled the boards, Towns was the clear statistical leader with 22 rebounds.
If you want to identify the main playmaker, Kolek’s 10 assists stand out.
If defensive activity is the priority, Anunoby’s six steals are the clearest individual number.
If shooting efficiency matters, Bridges’ 12-of-15 field-goal performance is the standout.
If you are analyzing team offense, the 32-20 assist difference and 50 percent to 38 percent field-goal difference are more useful than any one player’s scoring total.
This is why player statistics are most valuable when viewed as a connected set of measurements rather than isolated numbers.
A Practical Way to Read NBA Player Stats
For readers who regularly search for matchup statistics, a simple process can make box scores easier to understand.
Start with the final score
The score tells you the outcome and margin.
Check the quarter scores
This tells you whether the game was close throughout or changed dramatically.
Look at field-goal percentage
This gives an early indication of overall offensive efficiency.
Compare three-point production
Made threes can create large scoring differences quickly.
Check rebounds
Rebounding shows which team generated more second chances and defensive stops.
Check assists
Assists can provide useful evidence about ball movement and offensive creation.
Check turnovers
Turnovers indicate lost possessions and can create transition opportunities.
Look beyond scoring
Steals, blocks, offensive rebounds, and plus/minus can reveal contributions that points alone miss.
This approach is especially useful for close games because the final score may not explain how the result developed.
Frequently Asked Questions
Who was the Knicks’ leading scorer against the Raptors?
Mikal Bridges led the Knicks with 30 points. He shot 12-of-15 from the field, 4-of-6 from three-point range, and 2-of-2 from the free-throw line.
Who led the Raptors in scoring?
Brandon Ingram led Toronto with 27 points. He shot 10-of-16 from the field and made all six of his free throws.
How many rebounds did Karl-Anthony Towns have?
Karl-Anthony Towns had 22 rebounds, including seven offensive rebounds and 15 defensive rebounds. The 22-rebound total was a season high according to the game recap.
Who had the most assists in the game?
Tyler Kolek led the Knicks with 10 assists. Scottie Barnes led the Raptors with five assists.
What was the final score of Knicks vs Raptors?
The Knicks defeated the Raptors 119-92. New York trailed 28-18 after the first quarter before taking control in the second half.
Why did the Knicks win the game?
The statistical differences included better overall shooting, more made three-pointers, more assists, more points in the paint, and a strong second-half scoring surge. New York shot 50 percent from the field compared with Toronto’s 38 percent.
Conclusion
The knicks vs toronto raptors match player stats from this matchup show how a game can change through several connected statistical factors.
Mikal Bridges provided the headline scoring performance with 30 points on 12-of-15 shooting. OG Anunoby added 26 points and six steals, Josh Hart contributed 22 points with six assists, and Karl-Anthony Towns controlled the rebounding battle with 22 boards.
For Toronto, Brandon Ingram was highly efficient with 27 points, while Scottie Barnes supplied 17 points, 10 rebounds, and five assists.
The most important team numbers were equally clear. New York shot 50 percent from the field and made 14 three-pointers. Toronto shot 38 percent and made seven threes. The Knicks also produced 32 assists to Toronto’s 20 and scored 60 points in the paint compared with 38 for the Raptors.
The quarter-by-quarter numbers explain the turnaround. Toronto started with a 28-18 first-quarter advantage, but New York steadily changed the game and then dominated the second half. The Knicks scored 35 points in the third quarter and 37 in the fourth while Toronto managed 19 and 22.
The box score therefore tells a broader story than the 119-92 final score. New York combined efficient shooting, balanced playmaking, rebounding, defensive pressure, and a major third-quarter surge. Toronto had several strong individual performances, but its overall shooting dropped sharply after halftime.
For anyone studying this matchup, the most useful takeaway is to read the player statistics together. Points explain who scored, but rebounds, assists, shooting efficiency, turnovers, steals, blocks, and plus/minus help explain how the game was actually won.