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NBA Full-Time Total Points: A Complete Guide to Understanding Player Scoring Statistics

I remember the first time I really understood NBA scoring statistics - it was during last year's playoffs when I noticed how certain players consistently hit specific point thresholds. You know how in some video games you need to collect specific items to progress? It reminds me of this game called Redacted where you need to gather eight passcodes from eight different prisoners to unlock some mysterious vault. Each prisoner has these redacted files with hidden information, and you're constantly searching for computer rooms to uncover bits of data. That's exactly how I approach analyzing NBA scoring - it's like piecing together fragments of information to understand the bigger picture of a player's offensive capabilities.

When we talk about full-time total points in the NBA, we're essentially discussing what makes a consistent scorer versus an explosive but unreliable one. Take Stephen Curry, for instance - his ability to consistently put up 25-30 points night after night is what makes him so valuable, much like how in that game I mentioned, you need to consistently find those computer rooms during each run. The game has 80 total files to uncover across eight rivals, but you can only find four or five computer rooms per run. Similarly, an NBA season has 82 games, but even the best scorers have nights where they might only score 15-20 points while having explosive 40-point games occasionally. The true measure of greatness lies in that consistency.

What fascinates me about scoring statistics is how they tell stories beyond just numbers. When I look at LeBron James' career totals, I don't just see numbers - I see nearly two decades of sustained excellence, much like how collecting all those passcodes in Redacted requires multiple attempts and learning from each run. The game's structure where you gradually uncover information about each rival through multiple playthroughs mirrors how we understand NBA scorers - through watching game after game, season after season. Personally, I've always been more impressed by players who can consistently deliver 20+ points every night rather than those who have occasional 50-point explosions but disappear in other games.

The mathematics behind scoring averages is more complex than people realize. If a player scores 45 points one night and 15 the next, their average is 30 - same as someone who scores 30 both games. But which player would you rather have on your team? I'd take the consistent scorer every time, just like I'd prefer a methodical approach to uncovering those 80 files in Redacted rather than hoping to get lucky in one spectacular run. The game teaches you that progress comes from steady accumulation, not random bursts of success.

I've spent countless hours analyzing scoring patterns, and what strikes me is how scoring consistency often correlates with team success. Teams with players who maintain stable scoring outputs tend to perform better in the long run, similar to how systematic exploration in games yields better results than random searching. In Redacted, the maximum four or five computer rooms you can find per run represents the realistic ceiling for progress - much like how even the greatest NBA scorers have natural limits to how many points they can consistently produce. Kevin Durant, for example, has maintained a remarkable 27-point career average across 15 seasons, showing that rare blend of high volume and remarkable consistency.

The evolution of scoring in the NBA has been fascinating to watch. When I first started following basketball in the early 2000s, the game was much slower-paced, and scoring 100 points as a team was an accomplishment. Nowadays, with the three-point revolution and faster tempo, we regularly see teams scoring 120+ points. This shift reminds me of how game strategies evolve - in Redacted, you learn better routes and techniques with each attempt, just as NBA teams have developed more efficient scoring methods over time. The basic objective remains the same, but the approaches have become more sophisticated.

What many casual fans don't realize is that scoring totals don't exist in isolation. They're influenced by pace of play, defensive schemes, and even rule changes. I always compare it to how in Redacted, your progress depends on which routes you take and which rivals you encounter - context matters tremendously. A player averaging 25 points on a slow-paced team might be more efficient than someone averaging 28 on a run-and-gun squad. This is why I prefer looking at scoring efficiency metrics alongside raw point totals, though I'll admit there's something uniquely satisfying about seeing a player crack the 30-point barrier consistently.

The psychological aspect of scoring fascinates me just as much as the statistical side. Great scorers develop what I call "point awareness" - they know when their team needs them to take over, much like how experienced players develop intuition about where to find those crucial computer rooms in Redacted. Having watched hundreds of games, I've noticed that elite scorers often have "go-to" moves they can rely on when they need buckets, similar to how you develop reliable strategies in games after multiple playthroughs. This mental component is why some players consistently outperform their statistical projections in clutch situations.

As I continue to analyze NBA scoring, I'm constantly reminded that numbers only tell part of the story. The true beauty lies in watching how these scoring totals accumulate over time, through different defensive schemes, against various opponents, and in crucial moments. It's that journey of discovery - whether we're talking about uncovering 80 files across eight rivals or tracking a player's scoring development throughout their career - that makes both gaming and basketball analysis so endlessly fascinating to me. The patterns emerge slowly, piece by piece, until suddenly you have this complete picture of what makes a truly great scorer.

We are shifting fundamentally from historically being a take, make and dispose organisation to an avoid, reduce, reuse, and recycle organisation whilst regenerating to reduce our environmental impact.  We see significant potential in this space for our operations and for our industry, not only to reduce waste and improve resource use efficiency, but to transform our view of the finite resources in our care.

Looking to the Future

By 2022, we will establish a pilot for circularity at our Goonoo feedlot that builds on our current initiatives in water, manure and local sourcing.  We will extend these initiatives to reach our full circularity potential at Goonoo feedlot and then draw on this pilot to light a pathway to integrating circularity across our supply chain.

The quality of our product and ongoing health of our business is intrinsically linked to healthy and functioning ecosystems.  We recognise our potential to play our part in reversing the decline in biodiversity, building soil health and protecting key ecosystems in our care.  This theme extends on the core initiatives and practices already embedded in our business including our sustainable stocking strategy and our long-standing best practice Rangelands Management program, to a more a holistic approach to our landscape.

We are the custodians of a significant natural asset that extends across 6.4 million hectares in some of the most remote parts of Australia.  Building a strong foundation of condition assessment will be fundamental to mapping out a successful pathway to improving the health of the landscape and to drive growth in the value of our Natural Capital.

Our Commitment

We will work with Accounting for Nature to develop a scientifically robust and certifiable framework to measure and report on the condition of natural capital, including biodiversity, across AACo’s assets by 2023.  We will apply that framework to baseline priority assets by 2024.

Looking to the Future

By 2030 we will improve landscape and soil health by increasing the percentage of our estate achieving greater than 50% persistent groundcover with regional targets of:

– Savannah and Tropics – 90% of land achieving >50% cover

– Sub-tropics – 80% of land achieving >50% perennial cover

– Grasslands – 80% of land achieving >50% cover

– Desert country – 60% of land achieving >50% cover