Chicago State Cougars vs San Diego Toreros basketball prediction & odds

Fri, Nov 13 · 9:30 PM ET · Jenny Craig Pavilion, San Diego, CA

Non-conferenceESPN+Jenny Craig Pavilion, San Diego, CA
Chicago St
2-2 · 0-0 conf
Efficiency #321
@
San Diego
2-1 · 0-0 conf
Efficiency #222
Live
63.679.9
Projected score
CHST win 8%USD win 92%
MarketClose
Spread
USD −16.5
open USD −14.0
Total
140.5
open 148.0
Our line
USD −16.3
Our total
143.4
as of Fri, Nov 13 · 9:27 PM ET

Our play

How our line is built

each step, from an even game to our line
Spread
Even game
0.0
San Diegorated 2.6 below average
−2.6
Chicago Strated 15.5 below average
+15.5
Home court
+3.4
Our line
USD −16.3
◂ Chicago St sideSan Diego side ▸
Total
Average D-I game
151.3
San Diegolower-scoring games
−0.9
Chicago Stlower-scoring games
−6.9
Our line
143.4
Axis starts at 140 pointsPoints added or removed at each step

Steps are rounded to one decimal, so they can differ from the line by 0.1. The spread is seen from the home side: a plus moves it toward San Diego.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 69.5, from each team's opponent-adjusted tempo. On raw season pace, San Diego is the faster team (71.6, #147 of 365) and Chicago St the slower (69.2, #230). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).

Projected possessions
69.5
per team, 40 min
Market total
140.5
Market close · open 148.0
Adjusted tempo, vs an average opponent
69.1#265
Chicago St
70.8#167
San Diego

How this game plays

points this game from the four factors, vs an average D-I matchup
Our line
USD −16.3
Four factors 1.9Not in these stats 14.4
From the four factors
San Diego has the ball+3.7
Chicago St has the ball+1.8
San Diego has the ball
✓Wins second chancesOR% 35.4% #111 · CHST allows 34.6% #251+1.8
✓Gets to the lineFTR 41.7% #118 · CHST allows 46.3% #293 · FT 81.8% #19+1.4
✓Shoots it welleFG% 47.7% #238 · CHST allows 54.4% #266+0.5
✓Takes care of the ballTO% 15.8% #103 · CHST forces 20.2% #96 · ~13 turnovers+0.1
Chicago St has the ball
✓Shoots it welleFG% 47.0% #250 · USD allows 62.6% #354+4.3
✗Coughs it upTO% 22.8% #323 · USD forces 21.7% #66 · ~16 turnovers−4.1
✓Gets to the lineFTR 40.0% #141 · USD allows 59.2% #349 · FT 75.0% #92+1.5
✓Wins second chancesOR% 35.3% #114 · USD allows 26.4% #76+0.1

Shot diet

Where each offense shoots from and where each defense lets teams shoot
Chicago Stoffense vsSan Diegodefense
Share of shots by zone
Chicago St shoots
San Diego allows
D-I average
FG% by zone
ZoneD-I avg
Rim47.5%#31071.8%#33758.1%
Short 2 (≤9 ft)55.6%#610.0%#137.9%
Mid 2 (10 ft+)45.7%#8633.3%#14336.0%
Three31.6%#19941.1%#33232.4%
San Diegooffense vsChicago Stdefense
Share of shots by zone
San Diego shoots
Chicago St allows
D-I average
FG% by zone
ZoneD-I avg
Rim41.4%#34760.6%#21358.1%
Short 2 (≤9 ft)57.1%#5233.3%#13137.9%
Mid 2 (10 ft+)0.0%#35035.3%#17436.0%
Three40.0%#3935.7%#25232.4%
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
Chicago St
−3.0extra scoring chances per game vs a D-I average team#231 of 365
Off reb %
35.3%
#114
Def reb %
65.4%
#251
Turnover %
22.8%
#323
Forced TO %
20.2%
#96
FT rate
40.0%
#141
FT allowed
46.3%
#293
Where the chances come from (per game)
Offensive rebounding+1.3
Defensive rebounding−0.9
Ball security−3.2
Forcing turnovers+1.6
Foul shots drawn+0.7
Foul shots allowed−2.3
San Diego
+2.9extra scoring chances per game vs a D-I average team#129 of 365
Off reb %
35.4%
#111
Def reb %
73.6%
#76
Turnover %
15.8%
#103
Forced TO %
21.7%
#66
FT rate
41.7%
#118
FT allowed
59.2%
#349
Where the chances come from (per game)
Offensive rebounding+1.3
Defensive rebounding+1.8
Ball security+1.7
Forcing turnovers+2.6
Foul shots drawn+1.1
Foul shots allowed−5.7

San Diego has more extra scoring chances per game: +2.9 (#129 of 365) to Chicago St’s −3.0 (#231).

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
Chicago St2026-27 numbers · last game: CA Baptist, Nov 11
#PlayerPosClHtGP-GSMPGMin/40, last 8Last 3 vs beforeStatusPPGRPGAPGTOVeFG%3P%3PA/gFT%Usage
8GJr6'3"4-327.526—Bench22.01.32.32.351.5%39.4%8.375.0%45.8%
23GSr6'5"4-327.027—Bench10.54.50.52.350.0%36.4%2.883.3%25.0%
0FSr6'5"4-024.028—Bench3.36.00.81.054.5%0.0%0.350.0%9.7%
11GSr6'2"4-122.323—Started last5.32.82.31.830.4%0.0%0.363.6%22.9%
9GSo6'0"4-421.521—Started last2.81.31.81.311.1%0.0%0.869.2%13.5%
10CSr6'11"4-213.321—Started last1.82.30.50.042.9%—0.050.0%8.8%
2FSr6'4"3-017.320—Bench9.34.00.01.057.9%50.0%1.375.0%29.4%
24FSr6'6"4-112.08—Started last3.51.50.01.063.6%—0.0—17.9%
1FSr6'7"4-311.03—Bench3.81.80.30.850.0%27.3%2.8100.0%21.7%
3GSr6'0"3-113.717—Started last6.30.70.71.043.3%27.3%3.7100.0%30.2%
4GJr6'4"2-013.00—Missed last 21.02.00.01.033.3%—0.0—10.7%
15FSr6'8"2-212.5——Missed last3.53.00.01.066.7%—0.075.0%15.2%
18GFr6'2"2-06.0——Active1.00.50.01.020.0%0.0%2.0—35.1%
20FFr6'11"1-08.0——Out L34.01.00.01.066.7%—0.0—28.3%
25FSr6'8"1-02.0——Missed last0.01.00.00.00.0%—0.0—28.1%
Into the starting lineup: Malik Olafioye.Into the starting lineup: Bryan Akanmu.Into the starting lineup: Armari Carraway.Out of the starting lineup: Mike Price.Out of the starting lineup: Will Lovings-Watts.Out of the starting lineup: Davius Loury.

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
Chicago StSan Diego
Efficiency
100.1
106.2
112.0
110.4
69.1
70.8
-3.5
1.5
Shooting
47.0%
47.7%
46.8%
40.2%
31.6%
40.0%
75.0%
81.8%
40.0%
41.7%
Ball control & glass
22.8%
15.8%
20.2%
21.7%
35.3%
35.4%
34.6%
26.4%
12.3%
5.9%
12.8%
12.2%
Style
35.9%
37.9%
37.4%
38.6%
11.4%
11.7%
38.5%
56.6%
51.1%
40.6%
Roster
3.54
3.05
6'4.2"
6'5.7"
7.7%
0.4%

Offseason

roster movement into this season — descriptive, not a model input
Chicago St
Returning minutes: 7.7%Returning production: 6.8%
Lost
  • CJ Ray 31.1 mpg, 13.5 ppg · not on a D1 roster yet
  • Marcus Tankersley 28.7 mpg, 12.2 ppg · not on a D1 roster yet
  • Doyel Cockrill III 21.3 mpg, 10.3 ppg · transferred to Nicholls
  • Braelon Bush 21.0 mpg, 6.9 ppg · not on a D1 roster yet
  • Corey Sands 16.3 mpg, 2.7 ppg · not on a D1 roster yet
  • Stephen Byard 15.5 mpg, 6.8 ppg · not on a D1 roster yet
Added
  • Bryan Akanmu from Wagner · 20.3 mpg, 6.2 ppg last season
  • Mike Price from Bakersfield · 17.6 mpg, 6.3 ppg last season
  • Davius Loury from CSU Northridge · 16.4 mpg, 4.8 ppg last season
  • Armari Carraway from Charleston So · 12.8 mpg, 5.0 ppg last season
  • Malik Olafioye from E Illinois · 10.0 mpg, 2.3 ppg last season
  • Jaylen Pazon from VMI · 8.4 mpg, 4.2 ppg last season

Returns 8% of last season's minutes; lost 5 of its top 5 (1 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).

San Diego
Returning minutes: 4.3%Returning production: 3.0%
Lost
  • Toneari Lane 26.8 mpg, 11.3 ppg · not on a D1 roster yet
  • Adrian McIntyre 24.0 mpg, 9.5 ppg · not on a D1 roster yet
  • Juanse Gorosito 23.6 mpg, 10.2 ppg · not on a D1 roster yet
  • Vuk Boskovic 20.3 mpg, 6.1 ppg · transferred to Bethune
  • Ty-Laur Johnson 19.5 mpg, 10.2 ppg · transferred to Tennessee St
  • Assane Diop 16.6 mpg, 5.0 ppg · transferred to Kansas City
Added
  • Marqui Worthy Jr. from UC Riverside · 35.0 mpg, 16.4 ppg last season
  • Davion Hill from Ball State · 26.9 mpg, 14.0 ppg last season
  • Terry McMorris from E Illinois · 26.1 mpg, 7.6 ppg last season
  • Dusty Stromer from Grand Canyon · 22.6 mpg, 6.4 ppg last season
  • Antonio Munoz from Grambling · 21.0 mpg, 10.6 ppg last season
  • Jose Roberto Tanchyn from UMBC · 18.6 mpg, 6.3 ppg last season

Returns 4% of last season's minutes; lost 5 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-14.5→-16.5-115147.5→141.5o-105 u-115-1800+1000
FanDuel-13.5→-16.5-110148.5→140.5o-110 u-110-2500+1100
BetMGM-13.5→-16.5-115148.5→140.5o-115 u-105-2000+1000
BetRivers-13.5→-16.5-114146.5→142.5o-107 u-117-2500+900
Fanatics-14→-16.5-115148→141.5o-110 u-110-2000+1100
BetOnline-13.5→-17-110148→141.5o-105 u-115——
Bovada-13.5→-16.5-115147.5→140.5o-110 u-110-2200+1000
theScore Bet-14.5→-17.5-105148.5→140.5o-115 u-105-2500+1100
Hard Rock-13.5→-16.5-110147.5→142.5o-105 u-115-2500+900
Kalshi-14.5→-17.5+104147.5→139.5o-113 u+108-1567+1150
Polymarket-14.5→-16.5-108148.5→140.5o-108 u+104-1567+1329
Novig-16.5-104145.5→—-1233+1150
open = first-sighted line for this event · now = latest capture

Head-to-head

this season and last
No meetings the last two seasons.

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.