Stanford Cardinal vs UNLV Rebels basketball prediction & odds

Fri, Nov 13 · 9:00 PM ET · Thomas & Mack Center, Las Vegas, NV

Non-conferenceCBSSNThomas & Mack Center, Las Vegas, NV
Stanford
3-0 · 0-0 conf
Efficiency #84
@
UNLV
2-0 · 0-0 conf
Efficiency #137
Live
73.277.6
Projected score
STAN win 35%UNLV win 65%
MarketClose
Spread
STAN −1.0
open STAN −0.5
Total
152.5
open 150.75
Our line
UNLV −4.4
as of Fri, Nov 13 · 8:51 PM ET

Our play

How our line is built

each step, from an even game to our line
Spread
Even game
0.0
UNLVrated 7.9 above average
+7.9
Stanfordrated 6.9 above average
−6.9
Home court
+3.4
Our line
UNLV −4.4
◂ Stanford sideUNLV side ▸

The spread is seen from the home side: a plus moves it toward UNLV. Our total joins once both teams have played 3 games.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 72.7, from each team's opponent-adjusted tempo. On raw season pace, UNLV is the faster team (72.5, #117 of 365) and Stanford the slower (69.9, #208). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).

Projected possessions
72.7
per team, 40 min
Market total
152.5
Market close · open 150.75
Adjusted tempo, vs an average opponent
69.9#217
Stanford
73.2#56
UNLV

How this game plays

points this game from the four factors, vs an average D-I matchup
Our line
UNLV −4.4
Four factors −1.9 · not in these stats +6.3
From the four factors
UNLV has the ball+3.8
Stanford has the ball+5.6
UNLV has the ball
✓Wins second chancesOR% 41.4% #22 · STAN allows 29.1% #137+2.6
✓Gets to the lineFTR 53.8% #29 · STAN allows 41.5% #247 · FT 75.0% #92+1.3
✗Coughs it upTO% 15.9% #105 · STAN forces 21.0% #79 · ~14 turnovers−0.4
✓Shoots it welleFG% 54.2% #109 · STAN allows 46.6% #97+0.3
Stanford has the ball
✓Shoots it welleFG% 56.9% #70 · UNLV allows 57.3% #307+7.5
✗Few second chancesOR% 29.5% #225 · UNLV allows 22.0% #18−2.6
✓Gets to the lineFTR 30.3% #265 · UNLV allows 39.1% #220 · FT 88.7% #4+1.0
✗Coughs it upTO% 16.7% #134 · UNLV forces 20.0% #102 · ~13 turnovers−0.3

Shot diet

Where each offense shoots from and where each defense lets teams shoot
Stanfordoffense vsUNLVdefense
Share of shots by zone
Stanford shoots
UNLV allows
D-I average
FG% by zone
ZoneD-I avg
Rim70.1%#4366.7%#29758.1%
Short 2 (≤9 ft)35.3%#1840.0%#137.9%
Mid 2 (10 ft+)62.5%#1738.5%#19836.0%
Three31.8%#19537.2%#28232.4%
UNLVoffense vsStanforddefense
Share of shots by zone
UNLV shoots
Stanford allows
D-I average
FG% by zone
ZoneD-I avg
Rim61.8%#12153.7%#10758.1%
Short 2 (≤9 ft)33.3%#18850.0%#26337.9%
Mid 2 (10 ft+)45.5%#8954.5%#33136.0%
Three36.1%#10123.6%#2032.4%
RimShort 2 (≤9 ft)Mid 2 (10 ft+)Three

Zones from play-by-play shot descriptions; garbage time removed. Bars show the share of field-goal attempts in each zone; where a slice is too thin for its number, the shares are listed under the bar. FG% ranks: #1 = best for that side (most accurate shooting, stingiest defense).

Shot volume

Extra scoring chances from rebounds, turnovers and the foul line
Stanford
+0.5extra scoring chances per game vs a D-I average team#165 of 365
Off reb %
29.5%
#225
Def reb %
70.9%
#137
Turnover %
16.7%
#134
Forced TO %
21.0%
#79
FT rate
30.3%
#265
FT allowed
41.5%
#247
Where the chances come from (per game)
Offensive rebounding−0.6
Defensive rebounding+0.9
Ball security+1.1
Forcing turnovers+2.1
Foul shots drawn−1.8
Foul shots allowed−1.1
UNLV
+13.5extra scoring chances per game vs a D-I average team#24 of 365
Off reb %
41.4%
#22
Def reb %
78.0%
#18
Turnover %
15.9%
#105
Forced TO %
20.0%
#102
FT rate
53.8%
#29
FT allowed
39.1%
#220
Where the chances come from (per game)
Offensive rebounding+3.3
Defensive rebounding+3.3
Ball security+1.7
Forcing turnovers+1.4
Foul shots drawn+4.3
Foul shots allowed−0.4

UNLV has more extra scoring chances per game: +13.5 (#24 of 365) to Stanford’s +0.5 (#165).

Grade = extra shots and foul-line trips per game compared with a D-I average team, built from six season rates. Cell shading is the national rank for each rate (greener = better for that team).

Rotation

Who has been playing, and who has not
Stanford2026-27 numbers · last game: Rice, Nov 9
#PlayerPosClHtGP-GSMPGMin/40, last 8Last 3 vs beforeStatusPPGRPGAPGTOVeFG%3P%3PA/gFT%Usage
41FSr6'7"3-335.337—Started last22.77.35.02.075.8%50.0%2.087.5%26.2%
5GFr6'3"3-333.032—Started last11.72.74.02.353.3%18.2%3.7100.0%22.3%
4GFr6'7"3-324.329—Started last8.33.70.31.047.9%33.3%5.0100.0%22.1%
24GJr6'4"3-124.325—Bench11.05.01.31.376.5%60.0%3.3100.0%18.9%
52FSr6'10"3-322.014—Started last9.72.71.01.063.9%33.3%1.085.7%21.3%
21GFr6'3"3-221.315—Started last6.01.32.02.338.1%26.7%5.066.7%26.8%
34CJr7'0"3-017.329—Bench6.05.30.30.760.0%0.0%0.3—18.2%
0GJr6'3"3-07.36—Bench0.70.30.00.016.7%0.0%1.0—16.0%
33FJr6'7"2-011.011—Bench4.01.50.00.557.1%0.0%0.5—19.8%
2FJr6'8"1-011.00—Missed last 24.03.01.01.033.3%0.0%1.0100.0%27.7%
8GFr6'5"1-07.01—Bench4.01.00.00.050.0%—0.066.7%26.3%
9FFr6'9"1-04.0——Active2.00.00.00.00.0%—0.0100.0%26.2%

Competitive minutes leave out garbage time (provisional rule: a second-half lead of 25+ inside 15:00, 20+ inside 10:00, 15+ inside 5:00 or 10+ inside 2:00, held to the end) and are shown per 40 minutes. Status says only whether a player appeared; the reason is not published.

Team comparison

national rank toned left for away, right for home
StanfordUNLV
Efficiency
109.2
109.9
101.8
107.6
69.9
73.2
-5.8
-7.1
Shooting
56.9%
54.2%
62.4%
54.2%
31.8%
36.1%
88.7%
75.0%
30.3%
53.8%
Ball control & glass
16.7%
15.9%
21.0%
20.0%
29.5%
41.4%
29.1%
22.0%
8.6%
6.9%
8.3%
3.6%
Style
37.7%
30.3%
50.4%
49.7%
9.3%
23.2%
48.3%
31.0%
33.9%
26.5%
Roster
2.46
2.54
6'6.2"
6'5.9"
16.0%
23.0%

Offseason

roster movement into this season — descriptive, not a model input
Stanford
Returning minutes: 17.0%Returning production: 14.8%
Lost
  • Ebuka Okorie 33.0 mpg, 21.8 ppg · not on a D1 roster yet
  • Benny Gealer 29.5 mpg, 10.9 ppg · transferred to UIC
  • Ryan Agarwal 21.6 mpg, 5.8 ppg · transferred to Loyola Chicago
  • AJ Rohosy 20.5 mpg, 7.6 ppg · not on a D1 roster yet
  • Jeremy Dent-Smith 20.1 mpg, 8.2 ppg · transferred to Saint Mary's
  • Chisom Okpara 14.7 mpg, 7.2 ppg · not on a D1 roster yet
Added
  • Christian Bliss from Delaware · 39.8 mpg, 16.7 ppg last season
  • Nick Townsend from Yale · 32.4 mpg, 15.7 ppg last season
  • Austin Maurer from Seattle U · 17.9 mpg, 7.2 ppg last season
  • Aziz Olajuwon no D1 minutes last season
  • Myles Jones no D1 minutes last season
  • Julius Price no D1 minutes last season

Returns 17% of last season's minutes; lost 4 of its top 5 (2 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).

UNLV
Returning minutes: 23.3%Returning production: 22.3%
Lost
  • Dra Gibbs-Lawhorn 34.2 mpg, 20.7 ppg · transferred to Texas Tech
  • Kimani Hamilton 29.3 mpg, 12.8 ppg · transferred to Mississippi St
  • Howie Fleming Jr. 26.6 mpg, 8.3 ppg · not on a D1 roster yet
  • Walter Brown 19.1 mpg, 3.6 ppg · not on a D1 roster yet
  • Jacob Bannarbie 13.9 mpg, 4.6 ppg · transferred to Providence
  • Emmanuel Stephen 10.7 mpg, 2.4 ppg · transferred to CSU Northridge
Added
  • Dontrez Williams from Lindenwood · 28.2 mpg, 13.3 ppg last season
  • AJ Storr from Ole Miss · 26.3 mpg, 15.5 ppg last season
  • MJ Thomas from LSU N Orleans · 25.9 mpg, 10.5 ppg last season
  • Tyler Harris from Vanderbilt · 10.6 mpg, 4.6 ppg last season
  • Cam Miles from Florida St · 10.6 mpg, 4.1 ppg last season
  • Sebastian Mack from Missouri · 8.9 mpg, 3.8 ppg last season

Returns 23% of last season's minutes; lost 3 of its top 5 (2 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).

Line history

Market line, home spread or game total

Lines by book

BookSpread (home) open → nowTotal open → nowML homeML away
DraftKings+1.5-118150.5→152.5o-105 u-115+100-120
FanDuel+1.5-120151.5→152.5o-110 u-110-104-115
BetMGM-1.5→+1.5-118150.5→152.5o-105 u-115-105-115
BetRivers-0.5-108150.5→152.5o-112 u-112-108-115
Caesars+1.5→0-110150.5→152.5o-110 u-110-110-110
Fanatics+1-110151→152.5o-110 u-110+100-120
BetOnline0→+1-107150.5→153o+103 u-123-102-118
Bovada+1.5→+1-105151.5→152.5o-110 u-110+100-120
theScore Bet-1.5→+1.5-120150.5→151.5o-120 u+100+100-120
Hard Rock+1.5-125150.5→152.5o-110 u-110-110-115
Kalshi+1.5-113150.5→152.5o+100 u-104+104-108
Polymarket+1.5-108152.5o+100 u-104+108-113
Novig+1.5-111151.5o-106 u+104+106-108
open = first-sighted line for this event · now = latest capture

Head-to-head

this season and last
DateSeasonResult
Sun, Dec 72025-26UNLV 75 – 74 Stanford

More games on Fri, Nov 13

← Thu, Nov 12 · Sat, Nov 14 → · Full season schedule

The CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — the market spread and total (the median across books when no market line is up). Three views switch the table between projected scores, pace and totals, and each team's offensive and defensive tendencies. Each game opens into opponent-adjusted possessions, efficiency and four-factor tendencies for both teams, plus recent form, rotation and head-to-head history. Every game also carries our projected score, spread and total, from our line: the same view our bets are made from.

What these numbers mean: line shopping.