Milan Momcilovic: Conferences are more similar now with the transfer portal
By Jorge Perez· Founder, V12 DFS
This is context, not an automatic lineup change. It becomes actionable only when it connects to the slate, price, ownership, or confirmed role.
The transfer portal's reshaping of college basketball rosters creates a slate-level volatility that DFS players need to track heading into the season. When conferences lose traditional competitive separation—strong teams raid weaker conferences for talent, and mid-tier programs suddenly add star power—the predictability of game outcomes flattens. For DFS purposes, this means fewer blowouts, tighter spreads, and a shift in how ownership clusters around chalk. A player constructing lineups on a slate where conference parity has increased can't rely on last year's implied totals or pace assumptions; the optimizer needs fresh data on who's actually playing and in what role.
Milan Momcilovic's observation reflects a broader DFS reality: roster construction via the portal has untethered talent from traditional program tiers. A mid-major guard who transfers to a power conference doesn't inherit his old role automatically. He lands in a new offense, faces different competition, and often competes for minutes against portal imports at his own position. This volatility creates ownership inefficiency. Casual DFS rosters might still anchor on "name brand" schools without accounting for portal reshuffling, while sharp players who've studied new rosters and starting lineups can find leverage by identifying which transfers have solidified roles versus who's still fighting for minutes.
The practical DFS read: verify starting lineups and bench roles closer to lock than usual. Conference similarity sounds like macro context, but it translates to tighter game totals, lower blowout variance, and less predictable minutes distributions. Watch team pace and offensive rebounding rates—both shift significantly when portal additions land—and re-check exposure against your pivots once lineups confirm. The optimizer will reprice once reliable role data arrives; until then, DFS players who've done the transfer homework have an edge.
Turn this NBA news into a lineup tonight
V12's NBA engine reads slate context, builds a candidate pool, runs configured simulations, ranks the portfolio with ownership and behavioral pattern signals, and ships a FanDuel-ready CSV. The news above becomes one input among many — not a forced lineup change.