Washington State Cougars vs Duquesne Dukes basketball prediction & odds

Tue, Nov 10 · 7:00 PM ET · UPMC Cooper Fieldhouse, Pittsburgh, PA

Non-conferenceESPN+UPMC Cooper Fieldhouse, Pittsburgh, PA
Washington St
0-2 · 0-0 conf
Efficiency #204
@
Duquesne
2-0 · 0-0 conf
Efficiency #138
Live
71.376.7
Projected score
WSU win 32%DUQ win 68%
MarketClose
Spread
DUQ −3.5
open DUQ −5.5
Total
145.5
open 148.0
Our line
DUQ −5.3
as of Tue, Nov 10 · 6:51 PM ET

Our play

How our line is built

from the market's opening number
LineMarket openOur adjustmentOur line
SpreadDUQ −5.50.2 toward Washington StDUQ −5.3

Our total joins once both teams have played 3 games.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 69.7, from each team's opponent-adjusted tempo. On raw season pace, Duquesne is the faster team (71.1, #167 of 365) and Washington St the slower (64.8, #330). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).

Projected possessions
69.7
per team, 40 min
Market total
145.5
Market close · open 148.0
Adjusted tempo, vs an average opponent
68.9#291
Washington St
71.3#128
Duquesne

How this game plays

points this game from the four factors, vs an average D-I matchup
Our line
DUQ −5.3
Four factors +14.3 · not in these stats −9.0
From the four factors
Duquesne has the ball+9.6
Washington St has the ball−4.7
Duquesne has the ball
✓Shoots it welleFG% 57.3% #66 · WSU allows 66.7% #350+12.3
✗Coughs it upTO% 21.1% #275 · WSU forces 20.1% #106 · ~15 turnovers−2.4
✗Few second chancesOR% 30.8% #194 · WSU allows 28.8% #138−0.8
✓Gets to the lineFTR 36.4% #185 · WSU allows 41.4% #224 · FT 75.0% #98+0.5
Washington St has the ball
✗Tough shooting lookeFG% 46.7% #247 · DUQ allows 50.0% #163−2.2
✗Coughs it upTO% 19.3% #225 · DUQ forces 19.7% #115 · ~14 turnovers−1.3
✗Few trips to the lineFTR 20.7% #339 · DUQ allows 19.7% #18 · FT 76.0% #85−1.2
✓Wins second chancesOR% 35.9% #98 · DUQ allows 25.6% #73+0.1

Shot diet

Where each offense shoots from and where each defense lets teams shoot
Washington Stoffense vsDuquesnedefense
Share of shots by zone
Washington St shoots
Duquesne allows
D-I average
FG% by zone
ZoneD-I avg
Rim47.6%#29438.5%#1558.0%
Short 2 (≤9 ft)16.7%#2990.0%#138.2%
Mid 2 (10 ft+)29.4%#22120.0%#5934.7%
Three34.0%#15350.0%#35232.5%
Duquesneoffense vsWashington Stdefense
Share of shots by zone
Duquesne shoots
Washington St allows
D-I average
FG% by zone
ZoneD-I avg
Rim67.7%#7476.7%#34858.0%
Short 2 (≤9 ft)50.0%#7550.0%#24338.2%
Mid 2 (10 ft+)25.0%#24571.4%#34634.7%
Three31.3%#20344.4%#33832.5%
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
Washington St
−2.2extra scoring chances per game vs a D-I average team#211 of 365
Off reb %
35.9%
#98
Def reb %
71.2%
#138
Turnover %
19.3%
#225
Forced TO %
20.1%
#106
FT rate
20.7%
#339
FT allowed
41.4%
#224
Where the chances come from (per game)
Offensive rebounding+1.5
Defensive rebounding+0.9
Ball security−0.7
Forcing turnovers+1.4
Foul shots drawn−4.4
Foul shots allowed−0.9
Duquesne
+5.4extra scoring chances per game vs a D-I average team#105 of 365
Off reb %
30.8%
#194
Def reb %
74.4%
#73
Turnover %
21.1%
#275
Forced TO %
19.7%
#115
FT rate
36.4%
#185
FT allowed
19.7%
#18
Where the chances come from (per game)
Offensive rebounding−0.3
Defensive rebounding+2.0
Ball security−2.0
Forcing turnovers+1.2
Foul shots drawn−0.3
Foul shots allowed+4.8

Duquesne has more extra scoring chances per game: +5.4 (#105 of 365) to Washington St’s −2.2 (#211).

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
Washington St2026-27 numbers · last game: High Point, Nov 7
#PlayerPosClHtGP-GSMPGMin/40, last 8Last 3 vs beforeStatusPPGRPGAPGTOVeFG%3P%3PA/gFT%Usage
3GFr6'5"2-128.030—Started last15.53.52.02.072.5%33.3%4.5100.0%27.5%
7GSo6'0"2-225.533—Started last17.02.01.50.565.8%55.6%4.581.8%30.8%
31GSr6'6"2-122.021—Bench5.02.52.01.542.9%0.0%1.0100.0%16.6%
21FJr6'0"2-221.523—Started last3.53.50.01.535.0%25.0%2.0—18.6%
10GJr6'3"2-121.020—Started last6.02.53.00.026.2%16.7%3.050.0%32.1%
2FSo6'10"2-217.520—Started last0.04.00.02.50.0%0.0%0.5—21.1%
24FFr6'10"2-017.08—Bench5.02.51.50.550.0%—0.00.0%20.5%
33GJr6'4"2-116.07—Bench5.50.50.01.030.8%20.0%5.075.0%31.8%
8GJr6'2"2-015.016—Bench6.01.53.02.066.7%50.0%4.00.0%27.7%
13FJr6'7"2-09.09—Bench2.53.50.50.062.5%100.0%0.5—13.8%
93F—6'10"2-07.515—Bench0.04.00.00.00.0%—0.0—4.2%

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
Washington StDuquesne
Efficiency
107.8
106.7
110.7
105.0
68.9
71.3
8.5
-4.6
Shooting
46.7%
57.3%
43.7%
61.5%
34.0%
31.3%
76.0%
75.0%
20.7%
36.4%
Ball control & glass
19.3%
21.1%
20.1%
19.7%
35.9%
30.8%
28.8%
25.6%
13.1%
8.4%
7.0%
5.1%
Style
41.3%
29.1%
39.4%
59.0%
15.9%
20.5%
56.3%
62.1%
43.0%
35.3%
Roster
2.42
2.85
6'4.6"
6'5.8"
0.0%
12.7%

Offseason

roster movement into this season — descriptive, not a model input
Washington St
Returning minutes: 0.1%Returning production: 0.2%
Lost
  • Ace Glass 28.9 mpg, 16.4 ppg · transferred to Vanderbilt
  • Eemeli Yalaho 28.3 mpg, 10.1 ppg · transferred to NC State
  • Jerone Morton 24.9 mpg, 7.8 ppg · transferred to Kentucky
  • ND Okafor 23.2 mpg, 11.0 ppg · transferred to Mississippi St
  • Rihards Vavers 22.9 mpg, 10.4 ppg · transferred to Memphis
  • Adria Rodriguez 20.3 mpg, 3.4 ppg · not on a D1 roster yet
Added
  • Fraser Roxburgh from Manhattan · 30.6 mpg, 11.0 ppg last season
  • Ronnie Harrison from East Texas A&M · 27.7 mpg, 13.8 ppg last season
  • Sebastian Akins from Wake Forest · 15.1 mpg, 5.3 ppg last season
  • Tyler Kropp from Northwestern · 10.9 mpg, 2.8 ppg last season
  • Jamari Phillips from Oregon · 9.2 mpg, 2.2 ppg last season
  • Ladji Dembele from UNLV · 2.9 mpg, 0.7 ppg last season

Returns 0% of last season's minutes; lost 5 of its top 5 (5 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).

Duquesne
Returning minutes: 28.8%Returning production: 26.0%
Lost
  • Jimmie Williams 29.7 mpg, 15.1 ppg · transferred to Ohio State
  • Jakub Necas 23.7 mpg, 6.7 ppg · transferred to South Carolina
  • David Dixon 22.4 mpg, 8.2 ppg · not on a D1 roster yet
  • Cam Crawford 18.0 mpg, 4.5 ppg · not on a D1 roster yet
  • Alex Williams 16.8 mpg, 8.7 ppg · not on a D1 roster yet
  • John Hugley IV 13.1 mpg, 6.3 ppg · not on a D1 roster yet
Added
  • Yoav Berman from Queens · 29.2 mpg, 12.3 ppg last season
  • Josh Smith from West Georgia · 26.3 mpg, 15.7 ppg last season
  • Kerem Konan from Creighton · 7.4 mpg, 2.3 ppg last season
  • Ege Demir from Oregon · 5.3 mpg, 1.3 ppg last season
  • Izaiah Pasha from Virginia Tech · 4.6 mpg, 1.1 ppg last season
  • Stephen Olowoniyi from Oregon St · 1.1 mpg, 0.3 ppg last season

Returns 29% 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).

Line history

Market line, home spread or game total

Lines by book

BookSpread (home) open → nowTotal open → nowML homeML away
DraftKings-6.5→-3.5-110147.5→145.5o-108 u-112-166+140
FanDuel-5.5→-3.5-115148.5→144.5o-115 u-105-178+146
BetMGM-4.5→-3.5-110147.5→145.5o-105 u-115-170+140
BetRivers-4.5→-3.5-104148.5→145.5o-109 u-114-167+133
Caesars-5.5→-3.5-110147.5→145.5o-110 u-110-165+140
Fanatics-5.5→-3.5-105148→145.5o-110 u-110-165+135
BetOnline-6→-3.5-114148→145o-108 u-112-165+145
Bovada-4.5→-3.5-110148.5→145.5o-110 u-110-165+140
theScore Bet-5.5→-3.5-110147.5→145.5o-110 u-110-165+140
Hard Rock-4.5→-2.5-120148.5→145.5o-110 u-110-165+135
Kalshi-2.5-127145.5o+100 u-104-163+156
Polymarket-3.5-104146.5o+108 u-113-150+144
Novig-5.5→-3.5-104145.5o+102 u-104-160+156
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 Tue, Nov 10

← Mon, Nov 9 · Wed, Nov 11 → · 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.