Algosys College Basketball

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Duquesne

A-10 · 2025–26 · Raw net rank 153 · Raw net 1.5 · Tempo 69.3 · 31 Division I games · Through 2026-03-13

All seasons
Record
16–15
16 wins
AdjNet
2.9β
rank 130 of 365
AdjO
109.8β
rank 140 of 365
AdjD
106.9β
rank 142 of 365
AdjT
69.5β
SOS
2.1β
rank 102 of 363
NCSOS
-4.3β
WAB
-6.2β
rank 133 of 363
RR
0.3β
Exp. W
15.7β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.109.2150107.7157108.5
Four Factors
Effective FG%52.313152.524051.4
TO / 100 poss.17.624618.38216.7
Offensive rebound %30.418429.614230.6
FTA / FGA %38.39239.930035.0
Shooting
3P%33.122336.231333.9
2P%54.57851.315451.7
FT%71.522073.021572.5
Style
3PA / FGA %44.440.339.5
Assists / FGM %55.955.252.6
Blocks / opp. 2PA %9.012.59.5
Point Distribution
3-pointers %33.332.731.4
2-pointers %45.945.748.8
Free throws %20.821.719.8

Best · Median · Worst · Mark: further right is a better national rank, of 365 teams.

Rotation Depth

Effective Rotation Size
9.5
Top Three Share of Minutes
43%
Bench Share of Minutes
37%
Players with Logged Minutes
16

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-03NiagaraW 83–6371.0Home1–0
11-07Sacred HeartW 92–8074.2Home2–0
11-11Queens (NC)W 87–81 1OT86.0Home3–0
11-15VillanovaL 77–8769.6Away3–1
11-19Loyola MarylandW 92–7874.7Home4–1
11-22NortheasternL 86–9384.6Neutral4–2
12-02William & MaryL 79–8377.0Home4–3
12-06Stony BrookW 84–7569.0Home5–3
12-10Boise St.L 64–8670.5Away5–4
12-13NevadaL 75–7867.3Away5–5
12-22CanisiusW 103–5972.8Home6–5
12-30DavidsonW 89–83 2OT78.0Away7–5
01-03VCUL 80–9371.3Home7–6
01-07Saint Joseph'sL 90–97 1OT80.5Away7–7
01-13DaytonL 65–7164.4Home7–8
01-17FordhamW 74–6371.0Away8–8
01-20Saint LouisL 77–8176.8Home8–9
01-24Loyola ChicagoW 71–5967.7Away9–9
01-28St. BonaventureL 79–8768.9Home9–10
02-01Rhode IslandW 76–6165.5Home10–10
02-04George MasonW 71–6564.5Away11–10
02-07George WashingtonW 88–8668.1Home12–10
02-14St. BonaventureW 78–7369.0Away13–10
02-18La SalleW 62–6169.2Home14–10
02-21DaytonL 66–7864.3Away14–11
02-25DavidsonL 56–6765.6Home14–12
02-28Saint LouisL 76–9165.7Away14–13
03-04Rhode IslandL 52–6465.3Away14–14
03-07RichmondW 79–7765.9Home15–14
03-12Rhode IslandW 67–6159.6Neutral16–14
03-13VCUL 66–7164.8Neutral16–15

Roster · 16 players

Player logs in 31 of 31 team games

MinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Tarence Guinyard3034:0181.0%16.93.24.71.30.02.42.490–16454.9%69–19136.1%121–17071.2%54.5%59.1%47.9%535:33 +1:3288.9%16.8 −0.1
Jimmie Williams3130:1974.6%14.94.52.61.60.11.72.5105–18357.4%58–17732.8%77–10374.8%53.3%56.9%28.6%534:29 +4:1086.2%14.0 −0.9
Jakub Necas3024:3458.5%6.85.11.01.00.51.32.856–10254.9%15–4136.6%†48–6870.6%54.9%59.3%47.6%522:04 −2:3155.1%2.8 −4.0
David Dixon3122:2155.0%8.15.61.21.21.71.73.491–14662.3%3–1520.0%†60–8372.3%59.3%63.5%51.6%524:46 +2:2561.9%9.4 +1.3
Cameron Crawford3018:3144.1%4.21.80.90.50.10.61.521–5042.0%24–7830.8%11–1957.9%†44.5%45.8%14.8%45:50 −12:4111.7%0.8 −3.4
Alex Williams3017:5342.6%9.43.50.80.60.21.11.646–9250.0%41–10339.8%66–8280.5%55.1%60.8%42.1%527:11 +9:1767.9%15.8 +6.4
Brandon Hall2618:3038.2%3.31.30.80.70.20.91.517–4240.5%†14–4233.3%†10–2050.0%†45.2%†46.3%†23.8%†530:04 +11:3375.2%4.2 +0.9
John Hugley IV2615:5933.0%7.53.41.30.20.21.42.057–10057.0%8–3225.0%†58–7973.4%52.3%58.8%59.8%57:33 −8:2618.9%2.0 −5.5
Jake DiMichele2314:2426.3%3.51.10.70.40.20.31.417–3154.8%†12–4129.3%†11–1478.6%†48.6%†51.8%†19.4%†48:19 −6:0516.6%1.3 −2.3
Maximus Edwards2115:2325.6%5.92.41.20.30.10.90.825–5545.5%18–6129.5%20–3066.7%44.8%48.0%25.9%311:09 −4:1516.7%2.3 −3.6
Dom Aekins127:056.8%3.00.70.40.30.00.51.213–2650.0%†2–1118.2%†4–666.7%†43.2%†45.4%†16.2%†————
Lazar Milosevic117:086.2%1.81.50.50.30.00.31.16–875.0%†1–520.0%†5–862.5%†57.7%†60.5%†61.5%†————
Stef van Bussel155:026.0%0.51.50.40.00.10.50.93–560.0%†0–0—2–825.0%†60.0%†46.9%†160.0%†————
Ethan Anish22:280.4%1.00.00.00.00.00.01.00–0—0–10.0%†2–2100.0%†0.0%†53.2%†200.0%†————
Lucas Prolla22:280.4%0.00.00.00.50.00.50.50–0—0–10.0%†0–0—0.0%†0.0%†0.0%†————
Seamus McDermott22:280.4%0.00.50.50.00.00.00.50–0—0–20.0%†0–0—0.0%†0.0%†0.0%†————
Team, games with logs · per game31 games76.934.514.63.012.4547–100454.5%265–80133.1%495–69271.5%52.3%56.5%38.3%
Sum of players76.931.314.67.63.012.119.8Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.20.00.0+0.4

G: logged games. Team Min%: share of team minutes on court (40 per game plus overtime). 2P, 3P and FT show made–attempted. † Few attempts: under 100 FGA, 50 3PA or 25 FTA. Few G: under 10 games. <100 min: under 100 minutes. Last Five Team Games columns show change from the season value and hide on narrow screens.

Speculative Compensation · 2025–26β

Estimated share of the school's revenue-sharing budget for men's basketball. Not observed pay.

Team Pool
$705K
80% Range $325K to $1.55M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$670K to $835K
Scenario medians
Players with Figures
16
6 floor only

The widest scenario range, $380K to $1.80M, is wider than the 80% Range above (soft check S5). Methodology

Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Tarence Guinyard81.5%$155K$64K to $380K20.7%$145K to $180K$4KSufficient evidence
Jimmie Williams75.9%$150K$64K to $365K20.0%$140K to $175K$4KSufficient evidence
Jakub Necas59.6%$105K$42K to $255K14.1%$98K to $120K$4KSufficient evidenceRange driven by assumption, not data
David Dixon54.9%$68K$21K to $170K10.4%$64K to $79K$4KSufficient evidenceRange driven by assumption, not data
Cameron Crawford44.1%$42K$8K to $110K7.2%$40K to $49K$4KSufficient evidenceRange driven by assumption, not data
Alex Williams43.1%$39K$8K to $105K6.7%$36K to $45K$4KSufficient evidenceRange driven by assumption, not data
Brandon Hall37.6%$26K$4K to $79K4.7%$25K to $31K$4KSufficient evidenceRange driven by assumption, not data
John Hugley IV32.3%$20K$4K to $63K3.7%$19K to $24K$4KSufficient evidenceRange driven by assumption, not data
Jake DiMichele27.0%$12K$2K to $46K2.0%$11K to $14K$4KSufficient evidenceRange driven by assumption, not data
Maximus Edwards24.5%$23K$6K to $61K4.0%$22K to $28K$4KSufficient evidenceRange driven by assumption, not data
Lazar Milosevic6.3%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Dom Aekins6.3%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Stef van Bussel5.8%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Ethan Anish0.4%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Lucas Prolla0.4%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Seamus McDermott0.4%$4K$2K to $10K0.6%$4K to $5K$4KFloor only: below 300 possessions, no value estimate
Team Pool—$705K$325K to $1.55M100%$670K to $835K—

What-If Calculator · Speculativeβ

Re-runs the 4,000 joint draws with your inputs. The address saves your inputs.

School Finances · School-Reported (EADA)

Self-reported to the U.S. Department of Education. Expenses cover coaching, travel, aid and operations, not player pay.

School-reported finances, 2024-25, Duquesne University (NCAA Division I-FCS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$6,012,142Equals expenses (budget identity)
Men's basketball expenses$6,012,142
Athletics department expenses$29,780,242
Athletics department revenue$29,780,242

Team Totalsβ

Season per game, 31 games, 2,183 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points76.975.9
Field goals made26.225.6
Field goals attempted58.256.6
3-pointers made8.58.3
3-pointers attempted25.822.8
Free throws made16.016.5
Free throws attempted22.322.5
Offensive rebounds10.510.1
Defensive rebounds23.924.1
Total rebounds34.534.2
Assists14.614.1
Blocks3.04.0
Turnovers12.412.9
StealsNo team figure. Players sum to 235.
Personal foulsNo team figure. Players sum to 615.
Minutes (derived)203.2

31 of 31 games have player logs. Residual is team total minus sum of players. Team rebounds and team turnovers have no player owner, so a residual is expected. Definitions

StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,3842,3840±11.90
Field goals madeReconciled8128120±4.10
Field goals attemptedReconciled1,8051,8050±9.00
3-pointers madeReconciled2652650±2.00
3-pointers attemptedReconciled8018010±4.00
Free throws madeReconciled4954950±2.50
Free throws attemptedReconciled6926920±3.50
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown1,069969+100±85.50
AssistsReconciled4544540±2.30
BlocksReconciled94940±2.00
TurnoversReconciled385374+11±11.50
StealsNo team figure235
Personal foulsNo team figure615
Minutes (derived)Reconciled6,3006,287+12.6±126.00

Model-Implied Player Valueβ

Ranges are the 10th to 90th percentile of whole-game resampling draws. They are not calibrated intervals.

Open circle: limited evidence. Filled circle: sufficient evidence. Line: zero. No graphic: insufficient evidence.

Net points per 100 possessions, in possession-share order.
PlayerPoss. ShareNet and RangeβRange Graphic
Tarence Guinyard81.5%+2.6range +1.5 to +3.4Sufficient evidence
Jimmie Williams75.9%+2.7range +1.7 to +3.5Sufficient evidence
Jakub Necas59.6%+2.2range +0.9 to +3.3Sufficient evidence
David Dixon54.9%+1.2range +0.0 to +2.1Sufficient evidence
Cameron Crawford44.1%+0.5range -0.9 to +1.7Sufficient evidence
Alex Williams43.1%+0.3range -0.7 to +1.3Sufficient evidence
Brandon Hall37.6%-0.2range -1.4 to +0.9Sufficient evidence
John Hugley IV32.3%-0.6range -1.7 to +0.5Sufficient evidence
Jake DiMichele27.0%-1.7range -2.5 to -0.4Sufficient evidence
Maximus Edwards24.5%+0.3range -0.7 to +1.2Sufficient evidence
Lazar Milosevic6.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Dom Aekins6.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Stef van Bussel5.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Seamus McDermott0.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Lucas Prolla0.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Ethan Anish0.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence

Team Aggregate of Player Values, 2026β

Summary of the player values below. Split role: descriptive: not used in fit or gates. Model nil-value-v3. Definitions · NIL Methodology

Average value over five on-court slots, net points per 100 possessions
+10.3range +9.4 to +11.1Sufficient evidence

200 joint draws. The range is the 10th to 90th percentile. Player ranges cannot be added.

10 valued players hold 96.1% of on-court time. 6 without a value (under 300 possessions) hold 3.9%, counted at replacement level -9.5. Limited-evidence players hold 0.0%.

NIL Methodology · Scheduling and Model-Implied Value