Alright, let’s talk about Keon Ellis’s last 5 games. I was messing around with some NBA data the other day, trying to see if I could spot any trends or just get a better feel for certain players. Ellis caught my eye, so I decided to dig into his recent performance.
First thing I did was pull his game logs. I used a pretty basic stats API – nothing fancy, just something that gets the job done. I grabbed the data for his last five games, focusing on the key stats like points, rebounds, assists, steals, blocks, and of course, minutes played. Gotta know how much court time he’s getting to put those numbers in context.
Then came the fun part: crunching the numbers. I threw the data into a spreadsheet – yeah, old school, I know – and started calculating some averages. I looked at his points per game (PPG), rebounds per game (RPG), assists per game (APG), and so on. Also, I paid close attention to his shooting percentages (field goal percentage, three-point percentage, and free throw percentage). Shooting efficiency is a big deal, right?
After getting the basic averages, I started looking for game-to-game variations. Was there a consistent upward trend in any particular stat? Did he have one or two outlier games that skewed the overall picture? I also tried to figure out if there were any specific opponents against whom he performed particularly well or poorly. Matchups matter a lot in the NBA.
To visualize this, I made some simple charts. Nothing elaborate, just line graphs to show the trends in his points, rebounds, and assists over those five games. This helped me quickly see if he was improving, declining, or just staying consistent. I also looked at his plus/minus rating to see how his presence on the court affected his team’s overall performance.
Finally, I tried to put everything together. I looked for any correlations between his stats and his playing time. Did he perform better when he got more minutes? Were there any games where he was particularly effective despite playing limited minutes? These are the kinds of insights that can give you a deeper understanding of a player’s value.
Key Observations: I noticed his defensive stats were fairly consistent, which is a good sign. But his offensive output seemed to fluctuate a bit more depending on the game. Also, there was one game where he had a surprisingly high number of assists, which made me wonder if there was anything specific about that game that contributed to his passing performance.
Overall, analyzing Keon Ellis’s last 5 games was a pretty straightforward exercise. Nothing groundbreaking, but it gave me a better sense of his recent form and potential areas for improvement. It’s all about digging into the data and seeing what stories it tells.
