NSBA · CROSS-ERA THOUGHT EXPERIMENT

arolakiv, Translated

Porting the runaway scoring king of NSBA1 into the faster, deeper NSBA4 league — and asking whether a four-year-old stat line still leads today.

Great question, because arolakiv isn't just a Season 1 name — in the reconciled NSBA1 records he's the name. Playing for team devansh, he put up 26.8 points per game across 10 games (268 points, 77 gets, just 10 negs), and led the entire league in scoring by a margin that borders on rude: the #2 scorer, VulcanForge, sat at 19.6. That's a 7.2-ppg gap between first and second. Nobody in NSBA1 was close.

So the honest version of the kid's question is: does a 2022 stat line survive contact with 2026? To answer that you can't just copy the number over. You have to translate it — and translation starts with pace.

The scoring environment moved. A lot.

The single most important fact in any cross-era projection is whether the league itself scores more or less now. It scores more. Meaningfully more.

Teams score ~17% more per game today (80.0 vs 68.5). More points on the board means more tossups to hunt, which means a strong buzzer in 2026 gets more raw opportunities than the same buzzer did in 2022. That cuts in arolakiv's favor: drop a proven scorer into a higher-pace league and his counting stats should rise, not fall.

The other row worth staring at is the last one. In 2022, arolakiv single-handedly accounted for 39% of an average team's entire scoring output. Today's scoring leader, Kian D [SOG], is a comfortable #1 — but he's only about 28% of a league-average team, and roughly a quarter (136 of Connor Chang's 546 points) of his own. arolakiv wasn't a good #1 option. He was practically the whole offense.

The translation math

The cleanest era adjustment is a pace factor: scale his raw production by how much more the league scores now.

• Raw NSBA1 line: 26.8 ppg · 268 points / 10 games · 1.0 negs per game
• × 1.168 pace factor → a projected 31.3 ppg
• Over a 6-game NSBA4 slate → roughly 188 points (every current team has played 6)

Cross-check it a different way and you land in the same spot. arolakiv's 26.8 ppg was 39.1% of a league-average 2022 team (26.8 / 68.5). Hold that usage share constant and apply it to an average 2026 team: 0.391 × 80.0 = 31.3 ppg. The pace method and the usage-share method converge — always a good sign that a projection isn't just one lucky assumption.

Projected 2026 stat line for arolakiv

Where that lands him today

Here's the punchline. Even before the pace adjustment, arolakiv's raw 26.8 would lead NSBA4's current scoring board. After it, at a projected 31.3 ppg, he doesn't just lead — he laps the field. That's +8.6 ppg on the current #1.

The current top of the board — Kian D (22.7), akhil (18.7), vishnu m (17.3), Lucas W (16.0), Edward (14.7) — is a real, competitive group. A translated arolakiv would still sit a full +8.6 ppg above all of them. The pace era got faster and the field got deeper, and the projection still says he's the best scorer in the room.

The honest hedges

Now the part where the analyst stops selling. A few reasons to hold this loosely:

• Small sample, big number. That 26.8 came off just 10 games. Ten-game peaks are the easiest kind of stat to over-trust — there's no 30-game body of work smoothing it out.
• Usage almost never survives translation intact. Being 39% of your team's offense is an outlier even by 2022 standards; no current NSBA4 player is near it. In a deeper 2026 field with stronger teammates and tougher opponents, some of that share would likely regress. The 31.3 is best read as a ceiling-leaning central estimate, not a floor.
• Old records are imperfect. His one NSBA1 playoff cameo is logged as 8 points on 6 negs — a line that doesn't cleanly reconcile with standard scoring, and a fair reminder that these historical box scores are reconstructed, not gospel. His regular-season 26.8 is the number to trust; treat everything historical as "in the reconciled records."
• NSBA4 is a partial season. Six games in, the current ppg leaders could still shuffle. The comparison is a snapshot, not a final standing.

Verdict: Translate arolakiv into NSBA4 and the model spits out roughly 31 points per game and the #1 scoring title — a faster league only feeds a player who was already devouring a third of every game he touched. Discount it for small-sample and usage regression and you might shave him toward the high 20s. Either way, the answer to the kid's question is the fun one: yes, he'd still be the guy.