California vs UIC Picks, Props & Odds: 2026 NIT First Round Predictions
By Sascha Paruk in College Basketball
Published:
- California hosts UIC in the 2026 NIT first round at Haas Pavilion as 6.5-point home favorites
- My analysis targets the Under 150.5, supported by defensive metrics, postseason pacing trends, and favorable situational factors
- Get my UIC vs Cal picks and predictions for March 18, plus details on how to watch
How to Watch California vs UIC
The California Golden Bears (21-11, 16-4 home, 16-15 ATS) look to leverage their formidable 15-4 home record against the visiting UIC Flames (19-15, 7-8 away, 17-14-1 ATS) in a high-stakes, first-round NIT clash. Tip-off is scheduled for 8:00 pm PT/11:00 pm ET on March 18 at Haas Pavilion in Berkeley, CA, with the game broadcast nationally on ESPN2.
California enters this contest as the clear home favorite behind high-end ACC talent and a pair of wins over AP Top 25 programs earlier in the season. The Flames bring serious momentum, largely due to the return of sophomore point guard Elijah Crawford. UIC went 16-6 with Crawford facilitating the offense and just 3-9 during his 12-game injury absence.
With All-ACC guards Dai Dai Ames and Justin Pippen anchoring the backcourt for the home squad, this East-West battle comes down to executing half-court sets under pressure. I will break down the betting markets to uncover the actionable value.
California vs UIC Odds
Odds as of March 18 at 9:26 pm ET. Download the top California sports betting apps.
At prediction site Kalshi, California is trading at 71¢ to win (equal to a -245 moneyline) with UIC at 30¢ (equal to a +233 moneyline). The ATS line favors Cal by 7.5 with the over/under at 152.5.
The betting lines for this matchup have seen significant movement since opening, heavily favoring the home squad. California originally opened at -189 on the moneyline but has been bet way up. Similarly, the point spread stretched from an opening mark of -4.5 out to the current -7.5, reflecting sharp confidence in their ability to cover on their home floor. The total has also gone way up from 148.5.
California vs UIC ATS Pick: Cal -5.5 (-120 at FanDuel)
When analyzing late-night postseason basketball, isolating value requires looking past the steep moneyline. Instead, my focus shifts to the spread and the totals market, where the data reveals highly actionable angles for this win-or-go-home matchup.
Stepping into a hostile environment like Berkeley is a tall order for any road team, and UIC will have its hands full trying to contain California’s backcourt size and dynamic wing rotation, which features six post players listed at 6-foot-9 or taller. I am backing California to cover the 6.5-point spread at -110 odds. In a high-stakes tournament scenario, home-court advantage naturally amplifies, allowing the favored squad to control the tempo.
While UIC has shown resilience to reach the NIT, their lackluster 7-8 straight-up record on the road – combined with an inability to secure wins against Top 50 NET competition – makes California the quantitative play to separate down the stretch and win by multiple possessions.
California vs UIC O/U Pick: Under 152.5 (52¢ at Kalshi)
I am locking in the Under 152.5 at -108 odds as my strongest play on the board. UIC relies heavily on trapping and forcing turnovers to generate offense, which naturally slows down the overall pace when facing an experienced, ball-secure backcourt like California.
Expect a physical, grinding battle that ultimately keeps the final combined score well below the 150.5 threshold.
California vs UIC Betting Splits
Moneyline Splits
Analyzing Wednesday’s college public public betting splits, bettors are overwhelmingly backing the home team to win outright. California is commanding a massive 96.13% of the betting tickets, but even more tellingly, they hold an incredible 99.3% of the overall stake. The casual public and the deep pockets are in total lockstep here, leaving UIC with a microscopic 0.7% of the money.
Spread Splits
While the moneyline action is entirely one-sided, the point spread market is much more balanced. I made California my official play to cover the number, and the splits show a slight lean in that direction. California has garnered 51.75% of the bets and a slightly higher 59.37% of the total stake. Conversely, UIC is drawing 48.25% of the tickets and 40.63% of the money. To identify a true sharp vs public betting scenario, I require a divide where the ticket percentage favors one side by 60% or more, while the money percentage favors the opposite side by 60% or more. Because neither side reaches that threshold, there is no distinct sharp vs public divide on the spread.
Game-Total Splits
The Over/Under market is where my official prediction diverges significantly from public consensus. I recommended locking in the Under, anticipating a slower, defensive battle. However, the betting public is heavily banking on a shootout. The Over has attracted a dominant 80.54% of the betting tickets and 78.44% of the stake. Meanwhile, the Under is sitting on just 19.46% of the bets and 21.56% of the money. By backing the Under, I am firmly taking a contrarian position, playing against the grain of both the ticket volume and the overall handle.
California vs UIC Team Stats Comparison
When answering the question of how these squads stack up against each other, the data clearly points to California holding a significant battle-tested advantage. The most glaring mismatch in this statistical profile is how each team performs against elite competition. Against top-tier opponents ranked in the Top 50, California has posted a highly respectable 4-4 combined record. Conversely, UIC has completely failed to launch against high-end talent, going a combined 0-3 against Top 50 programs. Furthermore, California’s Strength of Schedule (0.5326) proves they have spent the entire season trading blows with much tougher opposition than UIC (0.5076 SOS).
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Managing Editor
Sascha has been working in the sports-betting industry since 2014, and quickly paired his strong writing skills with a burgeoning knowledge of probability and statistics. He holds an undergraduate degree in linguistics and a Juris Doctor from the University of British Columbia.
