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AZMango
UNCA

UNC Asheville @ Richmond

College basketball 2026-27 · Big South vs Atlantic 10 · · Robins Center

RICH
Our pick
RICHRichmond Spiders
67% to win

A probability, not a promise. A 67% pick still loses about 3 times in 10.

AZMango model

No market price for this matchup yet, so there is nothing to compare against.

Advantages Why Richmond can win

  1. Simulation: Richmond win 3,370 of 5,000 simulated games.
  2. Home court: Richmond play at home, worth about 3 points in college basketball, more than in the NBA.
  3. Net rating (points per 100 possessions): Richmond 127th (+2.9), UNC Asheville 230th (-3.3) of 365.
  4. Ball security (turnovers per 100 possessions): Richmond 33rd (14.3), UNC Asheville 231st (17.4) of 365.
  5. Richmond's offense (111.2 points per 100 possessions, 118th in Division I) meets a UNC Asheville defense that ranks 196th.

Disadvantages Why Richmond may not

  1. Upset odds: UNC Asheville win 1,630 of 5,000 simulations (33%). A 67% pick still loses about 3 times in 10.
  2. Range of outcomes: in the worst 10% of simulations Richmond lose by 9 or more.
  3. Strength of schedule: UNC Asheville 93rd (+0.5), Richmond 214th (-0.2) of 365.
  4. Offensive rebounding (share of misses): UNC Asheville 211th (29.8%), Richmond 339th (25.0%) of 365.
  5. Weak spot: Richmond rank 339th of 365 in offensive rebounding (share of misses) (25.0%).

The line and our numbers

MarketAZMango
SpreadNo line yetRICH -4.5
Total pointsn/a146.8
Win chanceUNCA n/a · RICH n/aUNCA 33% · RICH 67%
Fair moneylineUNCA +207 · RICH -207

No betting line for this game yet (many small-conference games get one only on game day). Odds change all the time, so check a sportsbook before acting on any number here.

5,000 simulated games, possession by possession

  • Typical score: Richmond 78, UNC Asheville 73.
  • 80% of simulations land between UNC Asheville by 9 and Richmond by 18.
See live oddsBetMGM DraftKings FanDuel

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Still out?

College basketball has no league-wide injury report, so we show what a fan can know before tip-off: regulars who sat out each team's last game. Our model counts them as likely out, exactly as it did in the backtest.

UNCA UNC Asheville

Every regular played last game.

RICH Richmond

Every regular played last game.

Check the team's own news before the game; players return and new absences appear at tip-off.

Side by side

UNCARICH
0-0Record0-0
-3.3 230Net rating+2.9 127
105.8 233Offensive rating111.2 118
109.1 196Defensive rating108.4 177
+0.5 93Strength of schedule-0.2 214
51.0% 194Effective FG%52.7% 115
51.3% 175Opponent eFG%52.0% 216
17.4 231Turnovers per 10014.3 33
29.8% 211Offensive rebound %25.0% 339
35.1% 1103-point %37.1% 28
68.0 229Pace68.8 193

Small numbers are ranks among 365 Division I teams (1 = best; pace 1 = fastest). Ratings are points per 100 possessions; strength of schedule is the average rating of opponents faced (2025-26 season and this season so far).

Last 5 meetings

These teams have not met since 2009.

What if?

Change the game and see how the chances move. This starts from our number and shifts the expected margin, using how much real results scatter around the line (11 points in a typical College basketball game).

33%UNC Asheville
67%Richmond

Our number. Move the slider or flip a player.

Game chat

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Basis: power ratings only (no betting line yet). 5,000 simulated games, checked against a walk-forward backtest of 45,615 Division I games since 2017-18. Model version 1. How it works

This matchup on any day (power ratings only)