Arizona Cardinals vs Texans Match Player Stats
The keyword arizona cardinals vs texans match player stats refers to NFL player performance in a matchup between the Arizona Cardinals and the Houston Texans, including passing, rushing, receiving, defensive contributions, and team statistics. However, the supplied statistical data describes a different game: the Charlotte Hornets’ 102-95 NBA victory over the New Orleans Pelicans on February 3, 2026. To keep the article accurate and useful, the analysis below clearly identifies that discrepancy rather than presenting basketball statistics as NFL results.
Important Data Note
The supplied figures are for an NBA game, not an Arizona Cardinals versus Houston Texans NFL game. The figures therefore cannot establish the NFL matchup’s final score, quarterback performance, rushing totals, receiving yards, or defensive statistics. The following article preserves that distinction and provides a detailed analysis of the verifiable basketball data you supplied.
Match Overview: What the Supplied Statistics Actually Show
The February 3, 2026, meeting at Spectrum Center in Charlotte produced a comeback victory for the Hornets. Charlotte defeated New Orleans 102-95 after trailing by 15 points at halftime. The final result was shaped by a major improvement in second-half scoring, superior rebounding, and more successful free-throw shooting.
The game also illustrates why player statistics should never be interpreted in isolation. A player can score heavily without securing a victory, while a team can overcome weaker three-point accuracy through offensive rebounds, defensive stops, and opportunities at the free-throw line.
These principles are useful when studying NFL matchups as well, although basketball rebounds and assists are not substitutes for football measures such as rushing efficiency, yards per attempt, third-down conversions, and turnovers.
Arizona Cardinals vs Texans Match Player Stats: Understanding the Data
When readers search for arizona cardinals vs texans match player stats, they generally want a complete breakdown of individual performances from an NFL game. That includes the leading passer, top rusher, leading receivers, defensive standouts, and the statistics that explain the final result.
The supplied dataset, however, contains NBA statistics. It cannot be used to identify the Cardinals’ or Texans’ leading players in a particular football matchup.
To maintain accuracy, the following tables summarize the actual game represented by the supplied figures.
Game Information
| Match detail | Verified information from supplied data |
| Game | New Orleans Pelicans vs Charlotte Hornets |
| Date | February 3, 2026 |
| Venue | Spectrum Center |
| Location | Charlotte, North Carolina |
| Attendance | 17,263 |
| Final score | Hornets 102, Pelicans 95 |
| Winning team | Charlotte Hornets |
| Losing team | New Orleans Pelicans |
| Series status | Tied 1-1 |
| Halftime situation | New Orleans led by 15 points |
The distinction between the requested NFL matchup and the supplied NBA result is important. A trustworthy statistical article should identify the correct teams, competition, date, and source before making claims about player performance.
For readers specifically researching the football matchup, the appropriate next step is to obtain the relevant NFL box score rather than extrapolate football statistics from an unrelated basketball game.
Quarter-by-Quarter Score Breakdown
The scoring pattern reveals how Charlotte turned a difficult first half into a victory. New Orleans controlled the opening two quarters, but the Hornets substantially improved after halftime.
| Quarter | New Orleans Pelicans | Charlotte Hornets |
| First quarter | 30 | 23 |
| Second quarter | 34 | 26 |
| Third quarter | 18 | 29 |
| Fourth quarter | 13 | 24 |
| Final score | 95 | 102 |
New Orleans scored 64 points in the first half, compared with Charlotte’s 49. That 15-point advantage appeared substantial, but the second-half figures told a different story.
Charlotte scored 53 points after halftime, while New Orleans managed just 31. The Hornets therefore won the second half by 22 points, more than erasing their deficit and finishing seven points ahead.
Second-Half Scoring Comparison
Charlotte outscored New Orleans by 22 points after halftime.
This is one of the most important insights in the supplied data. The final score alone does not show how dramatically the game changed. A quarter-by-quarter breakdown reveals the momentum shift and helps explain why the team that led at halftime ultimately lost.
Why the Second Half Changed Everything
Charlotte’s 29-point third quarter was the turning point. The Hornets reduced the deficit by 11 points in that period, then held New Orleans to only 13 points in the fourth quarter.
Several statistical factors help explain the comeback:
- Charlotte collected 59 rebounds, compared with 34 for New Orleans.
- The Hornets made 22 free throws, while the Pelicans made 18.
- Charlotte recorded 13 offensive rebounds, compared with five for New Orleans.
- The Pelicans finished with seven turnovers, while Charlotte committed 16.
The turnover figures favor New Orleans, so the comeback cannot be explained by claiming that Charlotte protected the ball better. Instead, the rebound advantage and free-throw production were major differences in the final statistical profile.
Team Statistics Comparison
The overall team numbers provide a more complete explanation of the result than the final score alone.
| Statistical category | Pelicans | Hornets |
| Points | 95 | 102 |
| Field goals | 33/84 | 34/85 |
| Field-goal percentage | 39% | 40% |
| Three-pointers | 11/34 | 12/50 |
| Three-point percentage | 32% | 24% |
| Free throws | 18/25 | 22/27 |
| Free-throw percentage | 72% | 81% |
| Total rebounds | 34 | 59 |
| Offensive rebounds | 5 | 13 |
| Defensive rebounds | 29 | 46 |
| Assists | 23 | 16 |
| Turnovers | 7 | 16 |
| Steals | 9 | 3 |
| Blocks | 4 | 3 |
| Team fouls | 23 | 19 |
The figures reveal an interesting contrast. New Orleans was more efficient from three-point range, committed fewer turnovers, recorded more assists, and produced more steals. Charlotte nevertheless won because it collected considerably more rebounds and converted more free throws.
Field-Goal Efficiency
Charlotte made 34 of 85 field-goal attempts, while New Orleans converted 33 of 84 attempts.
The difference in overall field-goal percentage was small. The Hornets shot 40%, compared with 39% for the Pelicans, according to the supplied figures.
This suggests that overall shooting accuracy alone does not explain the result. Charlotte’s advantage came from the combination of scoring opportunities, rebounding, and free throws.
Three-Point Shooting
New Orleans made 11 of 34 three-point attempts, producing a reported 32% success rate. Charlotte made 12 of 50 attempts, with a reported percentage of 24%.
The Hornets attempted 16 more three-pointers, but their accuracy was lower. That is a useful reminder that a high volume of attempts does not necessarily indicate better shooting performance.
The Pelicans were more accurate from long range, yet their advantage in that category did not compensate for their disadvantages elsewhere.
For a complete evaluation, three-point shooting should be considered alongside shot selection, offensive rebounds, free throws, and the number of possessions available to each team.
Free-Throw Production
Charlotte converted 22 of 27 free throws, compared with 18 of 25 for New Orleans.
The Hornets therefore made four additional free throws. Their reported conversion rate was also higher, at 81% compared with 72%.
Free throws matter because they can provide points without requiring a successful field-goal attempt. In a game decided by seven points, the four-point difference in made free throws was a meaningful part of the final margin.
However, it would be inaccurate to claim that free throws alone decided the game. The Hornets’ rebounding advantage was even larger in the supplied statistics.
Rebounding: The Most Significant Statistical Difference
Rebounding was the clearest numerical advantage for Charlotte.
The Hornets collected 59 total rebounds, while New Orleans recorded 34. That is a difference of 25 rebounds.
Total Rebounds by Team
Charlotte recorded 25 more rebounds than New Orleans.
The difference was visible on both ends of the floor. Charlotte recorded 13 offensive rebounds and 46 defensive rebounds. New Orleans recorded five offensive rebounds and 29 defensive rebounds.
Offensive Rebounds and Additional Opportunities
An offensive rebound occurs when a team recovers the ball after its own missed field-goal or free-throw attempt, subject to the applicable rules. Recovering the ball can give the offense another opportunity to score.
Charlotte collected eight more offensive rebounds than New Orleans. This gave the Hornets a substantial advantage in recovering missed shots.
Offensive rebounds are particularly useful for understanding games in which shooting efficiency is modest. A team does not need to make every initial attempt if it can repeatedly recover the ball and create additional scoring opportunities.
Defensive Rebounds and Possession Control
Charlotte’s 46 defensive rebounds compared with New Orleans’ 29 also stand out.
Defensive rebounds help end an opponent’s possession after a missed shot. Securing them reduces the chances that the opposition will receive another attempt immediately.
The figures indicate that Charlotte was much more successful at collecting rebounds overall. They do not, by themselves, explain every possession, because the number and type of missed shots also affect rebound totals.
Still, the size of the difference makes rebounding a central part of any explanation of this result.
Individual Player Performance Analysis
The supplied player highlights identify several leading contributors. These figures should be interpreted as the reported performances from the February 3 basketball game, not as NFL player statistics.
New Orleans Pelicans Player Stats
| Player | Points | Other reported contribution |
| Trey Murphy III | 27 | 4 assists |
| Derik Queen | 16 | 3 steals |
| Zion Williamson | 14 | 11 rebounds, 4 assists |
| Saddiq Bey | Not supplied | 4 assists |
| Herbert Jones | Not supplied | Starter |
| Karlo Matkovic | Not supplied | Plus/minus of +1 |
The supplied figures identify Trey Murphy III as New Orleans’ leading scorer with 27 points. Derik Queen followed with 16, while Zion Williamson contributed 14 points and led the Pelicans in rebounding with 11 boards.
These individual performances show why scoring and overall team success must be evaluated separately. Murphy’s 27 points were the highest individual scoring total identified in the supplied data, but New Orleans still lost.
That does not mean his scoring was ineffective. It means that individual production was not sufficient to overcome the team’s broader disadvantages.
Trey Murphy III: Leading Scorer
Murphy’s 27 points made him the Pelicans’ leading scorer in the reported game.
Scoring totals are a useful starting point when assessing an individual performance, but a complete evaluation would also consider shooting attempts, efficiency, turnovers, defensive assignments, and the timing of important baskets.
Those additional player-level figures were not included in the supplied dataset, so a deeper judgment about Murphy’s efficiency would require a complete box score.
Zion Williamson: Scoring and Rebounding
Williamson recorded 14 points and 11 rebounds, according to the supplied figures. He also shared the Pelicans’ assist lead with Murphy and Bey, with four assists apiece.
His 11 rebounds were especially relevant given Charlotte’s overall advantage on the boards.
An individual rebounding total does not necessarily indicate how effectively an entire team rebounded. The Hornets’ 59-34 team advantage shows that New Orleans struggled to match Charlotte’s collective production in this category, even with Williamson contributing 11 rebounds.
Derik Queen: Defensive Activity
Queen scored 16 points and recorded three steals, according to the supplied highlights.
Steals measure occasions when a defender takes possession of the ball from the opposition. They can create transition opportunities and interrupt offensive possessions.
New Orleans recorded nine steals as a team, compared with Charlotte’s three. That advantage suggests that the Pelicans were more active in generating steals, although the supplied information does not show how many of those steals directly produced points.
Charlotte Hornets Player Stats
| Player | Points | Other reported contribution |
| LaMelo Ball | 24 | 5 assists, +24 plus/minus |
| Kon Knueppel | 17 | 9 rebounds |
| Brandon Miller | 16 | Starter |
| Miles Bridges | Not supplied | Starter |
| Moussa Diabate | Not supplied | 9 rebounds |
| Grant Williams | 16 | 9 rebounds |
| Ryan Kalkbrenner | Not supplied | 3 blocks |
LaMelo Ball led Charlotte with 24 points. Knueppel scored 17, while Brandon Miller and Grant Williams each recorded 16 points, according to the supplied data.
Williams’ contribution is noteworthy because he scored 16 points from the bench while also recording nine rebounds. That combination added production beyond the starting lineup.
LaMelo Ball: Scoring and Playmaking
Ball’s 24 points made him Charlotte’s leading scorer. He also recorded five assists, the highest assist total identified for either team in the supplied player highlights.
Assists help measure a player’s role in creating scoring opportunities for teammates. They do not capture every contribution to ball movement, but they provide a useful indication of direct playmaking.
Ball’s reported plus/minus of +24 is another notable figure. Plus/minus measures the difference between a team’s points scored and points conceded while a particular player is on the court.
A +24 figure means Charlotte outscored New Orleans by 24 points during Ball’s playing time. It does not mean that Ball personally scored 24 points beyond his individual scoring total, nor does it mean the final game margin was 24 points.
Plus/minus can reflect a player’s impact, but it is also influenced by teammates, opponents, substitutions, and the lineup combinations used during the game.
Kon Knueppel: Balanced Contribution
Knueppel recorded 17 points and nine rebounds in the supplied statistics.
His production in both categories demonstrates why player analysis should extend beyond scoring alone. Rebounds can help a team secure possession, while points contribute directly to the scoreboard.
The supplied data does not include his complete shooting splits or defensive statistics. Those details would be needed to assess his overall efficiency and defensive impact more thoroughly.
Grant Williams: Bench Production
Williams contributed 16 points and nine rebounds, according to the supplied figures.
His scoring matched Brandon Miller’s reported total, while his rebounding output equaled that of Knueppel and Diabate.
Bench production can become particularly important when a game changes direction. Reserve players can help maintain scoring, secure rebounds, and provide defensive support while starters rest.
The supplied figures establish Williams’ statistical contribution, but they do not establish exactly which possessions or substitutions caused the momentum shift.
Assists, Turnovers, Steals, and Blocks
Scoring and rebounding explain much of the statistical contrast, but the other categories reveal additional differences in playing style and possession management.
Assists
New Orleans recorded 23 assists, compared with Charlotte’s 16.
The Pelicans therefore produced seven more assists. That figure suggests that more made baskets were directly credited to passes from teammates, although assists do not measure every element of team playmaking.
Charlotte won despite recording fewer assists. This is another reason to avoid treating one statistical category as a complete measure of team performance.
Turnovers
New Orleans committed seven turnovers, while Charlotte committed 16.
The Pelicans had a nine-turnover advantage. Fewer turnovers generally help a team retain possession and avoid giving the opposition additional opportunities.
Charlotte’s victory despite its higher turnover total is a key feature of this game. The Hornets compensated for that disadvantage with their superior rebounding and free-throw production.
Steals
The Pelicans recorded nine steals, compared with three for the Hornets.
This statistic supports the broader pattern of New Orleans generating more defensive takeaways. However, a steal is only one part of defensive performance. Defensive rebounds, contested shots, forced misses, and the prevention of high-quality scoring chances also matter.
Blocks
New Orleans recorded four blocks, while Charlotte recorded three. The supplied player highlights identify Ryan Kalkbrenner with three blocks for the Hornets.
Blocks can prevent shots from reaching the basket, but they do not capture all defensive impact. A defender can influence a shot without blocking it, and a blocked shot does not always result in possession for the defending team.
What the Plus/Minus Figures Tell Us
Two individual plus/minus figures stand out in the supplied information:
- LaMelo Ball: +24 for Charlotte.
- Karlo Matkovic: +1 for New Orleans.
These figures describe the teams’ scoring differentials during those players’ time on the floor.
Ball’s +24 indicates that Charlotte scored 24 more points than New Orleans during his minutes. The final margin was only seven points because plus/minus covers the periods when a player is on the court, rather than the entire game.
Matkovic’s +1 means the Pelicans outscored Charlotte by one point during his time on the floor. It does not mean he scored one point personally.
Plus/minus is useful when combined with minutes played, lineup information, and individual box-score contributions. On its own, it cannot establish that a player was solely responsible for a team’s success or failure.
How to Read Player Stats for an NFL Matchup
Although the supplied game is an NBA contest, the original search phrase concerns an NFL matchup. The following framework explains the categories readers should examine when reliable Arizona Cardinals versus Houston Texans football data is available.
1. Quarterback Performance
Quarterback analysis should include:
- Passing completions and attempts.
- Completion percentage.
- Passing yards.
- Touchdowns and interceptions.
- Yards per attempt.
- Sacks taken.
- Rushing production, where relevant.
Passing yards alone do not determine quarterback effectiveness. A quarterback might accumulate substantial yardage but struggle to convert drives into touchdowns. Another might throw for fewer yards while protecting the football and making important third-down completions.
Completion percentage also requires context. Short completions can increase the percentage without necessarily generating enough yardage to sustain drives.
2. Rushing Production
Rushing statistics help explain how effectively an offense advances the ball without relying on a forward pass.
The most useful measures include rushing attempts, rushing yards, yards per carry, rushing touchdowns, and long runs.
A high rushing total may indicate consistent production, but it can also result from a large number of attempts. Yards per carry provides additional context about efficiency.
Rushing performance must also be considered in relation to game situation. A team protecting a late lead may run frequently to manage the clock, while a team trailing by multiple scores may pass more often.
3. Receiving Statistics
Receiving analysis should cover receptions, targets, receiving yards, touchdowns, yards per reception, and, when available, yards after catch.
Targets are important because they show how often a receiver was selected as a potential option in the passing game. Receptions and receiving yards reveal what happened after the ball was thrown.
A receiver with fewer catches may still have had an important impact if those receptions converted third downs or produced touchdowns. A receiver with a large yardage total may have benefited from one long play rather than consistent production.
4. Defensive Performance
Individual defensive statistics can include tackles, sacks, interceptions, passes defended, forced fumbles, and fumble recoveries.
These figures help identify players who disrupted offensive drives or created opportunities for their team. However, defensive performance also depends on positioning, assignments, coverage responsibilities, and pressure that does not result in a sack.
Team-level measures, including points allowed, third-down defense, red-zone defense, and turnovers forced, add context to individual numbers.
5. Special Teams
Special-teams statistics are another part of a complete football box score.
Relevant measures include field goals made and attempted, extra points, kickoff returns, punt returns, average return yardage, and touchbacks.
These contributions can affect field position and scoring, even when they do not receive as much attention as passing and rushing.
Why Team Statistics Must Be Read Together
The supplied Hornets and Pelicans game offers a useful example of the limits of isolated statistics.
New Orleans had more assists, fewer turnovers, more steals, and better three-point accuracy. Charlotte still won by seven points.
The explanation becomes clearer when the categories are considered together:
- Charlotte collected 25 more rebounds.
- The Hornets recorded eight more offensive rebounds.
- Charlotte made four more free throws.
- The Hornets outscored the Pelicans 53-31 in the second half.
These factors help explain how Charlotte overcame its disadvantages in turnovers, assists, and three-point percentage.
For an NFL matchup, the equivalent approach is to combine passing efficiency, rushing production, turnover margin, third-down conversions, red-zone results, and defensive performance.
No single number tells the entire story. A complete analysis identifies the statistics that align with the result, checks for exceptions, and distinguishes direct evidence from possible explanations.
Challenges When Comparing Individual Player Statistics
Player statistics can be misleading if the surrounding context is ignored.
Differences in Playing Time
A player who plays more minutes generally has more opportunities to score, rebound, or record assists. Similarly, an NFL player who participates in more offensive snaps has more opportunities to accumulate receiving or rushing production.
Whenever possible, compare playing time alongside the raw totals.
Role and Opportunity
Players perform different roles within the same team. A primary scorer may take more shots, while another player may focus on defense or facilitating the offense.
In football, a quarterback, running back, wide receiver, and defensive end have very different responsibilities. Their statistics should be assessed against their roles rather than compared as though they measure the same skill.
Game Situation
The score, time remaining, opponent strategy, and injuries can affect player performance.
For example, a team leading late in an NFL game may prioritize running the ball and controlling possession. A team trailing late may increase its passing attempts.
The same principle applies across sports: statistics are most useful when interpreted in the context of how the game unfolded.
Incomplete or Mismatched Data
The most important challenge in this case is the mismatch between the requested NFL matchup and the supplied NBA dataset.
Using the Pelicans’ points or the Hornets’ rebounds as though they belonged to Arizona or Houston would create false information. The same problem would occur if basketball player names were assigned football passing or receiving totals.
A reliable article should identify the correct sporting event and use the appropriate official statistics before making matchup-specific claims.
Reliable Sources for Match Statistics
For the supplied basketball game, the official ESPN box score for the February 3, 2026, game is the relevant reference for checking the listed results and player figures.
For the Arizona Cardinals versus Houston Texans matchup, the corresponding NFL game record is needed. The date or season is also important because the same teams can meet in different seasons, and their rosters, coaching staff, and player availability may change.
A useful game report should establish:
- The exact date and competition.
- The final score.
- The starting players and relevant substitutes.
- Individual offensive and defensive statistics.
- Team-level results and situational performance.
- Any unavailable, inactive, or injured players where reliably reported.
This verification process makes it easier for readers to distinguish a confirmed result from an estimate or an incorrectly matched statistic.
Frequently Asked Questions
1. What does Arizona Cardinals vs Texans match player stats mean?
It refers to individual and team statistics from an NFL matchup between the Arizona Cardinals and Houston Texans. Common categories include passing yards, rushing yards, receiving yards, touchdowns, tackles, sacks, interceptions, and turnovers.
2. Who won the Arizona Cardinals vs Houston Texans game?
The supplied data does not establish the winner of an Arizona Cardinals versus Houston Texans game. It documents a different sporting event, the Charlotte Hornets’ 102-95 victory over the New Orleans Pelicans on February 3, 2026.
3. Who was the top scorer in the supplied game data?
Trey Murphy III led New Orleans with 27 points, while LaMelo Ball led Charlotte with 24 points. These are NBA basketball scoring figures, not NFL statistics.
4. Which team had the biggest statistical advantage in the supplied game?
Charlotte had the largest advantage in total rebounds, collecting 59 compared with New Orleans’ 34. The Hornets also won the second half 53-31 and made 22 free throws compared with the Pelicans’ 18.
5. Why are individual player statistics important?
Player statistics help explain individual contributions, identify strengths and weaknesses, and show how a game developed. They become more meaningful when combined with playing time, team performance, opponent quality, and game situation.
6. Where can readers verify player statistics?
Readers should use the official league box score or a reputable sports statistics provider. For the supplied NBA game, ESPN’s box score provides the relevant reference. A separate NFL source is required to verify Cardinals and Texans player statistics.
Conclusion
The search for arizona cardinals vs texans match player stats calls for an accurate NFL game report covering individual performances, team statistics, and the factors that influenced the result. The supplied figures do not match that matchup. They describe the Charlotte Hornets’ 102-95 comeback victory over the New Orleans Pelicans on February 3, 2026.
That basketball game featured a substantial rebounding advantage for Charlotte, stronger free-throw production, and a 22-point advantage in second-half scoring. New Orleans performed better in several other categories, including assists, steals, turnovers, and three-point accuracy, but those advantages were not enough to secure the win.
For a factual analysis of Arizona and Houston, the correct NFL box score must be identified before naming the leading passer, rusher, receiver, or defender. Keeping the event and statistics aligned is essential to producing an informative, trustworthy sports article.
