Algosys College Basketball

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James Madison

SB · 2025–26 · Raw net rank 172 · Raw net 0.4 · Tempo 67.0 · 32 Division I games · Through 2026-03-05

All seasons
Record
17–15
17 wins
AdjNet
-2.2β
rank 210 of 365
AdjO
109.2β
rank 151 of 365
AdjD
111.4β
rank 254 of 365
AdjT
67.1β
SOS
-3.1β
rank 269 of 363
NCSOS
-1.4β
WAB
-8.9β
rank 206 of 363
RR
0.2β
Exp. W
16.8β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.110.6125110.2222108.5
Four Factors
Effective FG%53.19749.06551.4
TO / 100 poss.17.322612.836016.7
Offensive rebound %30.617529.513430.6
FTA / FGA %35.915440.831035.0
Shooting
3P%35.49332.710233.9
2P%53.212148.96251.7
FT%70.326372.418072.5
Style
3PA / FGA %42.538.239.5
Assists / FGM %48.345.552.6
Blocks / opp. 2PA %11.311.19.5
Point Distribution
3-pointers %34.329.431.4
2-pointers %46.547.548.8
Free throws %19.223.219.8

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

Rotation Depth

Effective Rotation Size
9.3
Top Three Share of Minutes
42%
Bench Share of Minutes
34%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-03AkronL 71–8572.0Away0–1
11-09Coppin St.W 84–7070.3Home1–1
11-12LongwoodL 72–8270.0Away1–2
11-15LIUL 79–8875.9Away1–3
11-18TowsonW 81–7561.5Home2–3
11-24FIUW 80–7267.5Away3–3
11-25OmahaW 88–7764.8Neutral4–3
11-29George MasonL 66–8266.4Away4–4
12-03N.C. CentralW 67–6263.7Home5–4
12-06Norfolk St.W 68–6764.8Home6–4
12-17Old DominionL 68–7767.1Away6–5
12-20Ga. SouthernL 92–96 1OT78.8Away6–6
12-29ArkansasL 74–10369.9Away6–7
01-03Arkansas St.W 78–7471.1Away7–7
01-07MarshallL 64–6661.9Home7–8
01-10Old DominionW 70–6969.2Home8–8
01-15App StateL 65–8058.7Away8–9
01-17MarshallL 72–7768.4Away8–10
01-22South AlabamaL 83–9075.7Home8–11
01-24Texas St.W 82–5763.1Home9–11
01-29TroyW 73–6466.0Away10–11
01-31Southern Miss.L 65–7366.8Away10–12
02-04LouisianaL 61–6456.6Home10–13
02-07ToledoW 73–7166.6Home11–13
02-12Georgia St.W 81–79 1OT74.0Home12–13
02-14App StateW 69–5861.2Home13–13
02-18Coastal CarolinaW 67–6565.6Away14–13
02-21Georgia St.W 80–6567.0Away15–13
02-25Ga. SouthernW 82–6670.4Home16–13
02-27Coastal CarolinaL 68–6963.5Home16–14
03-04LouisianaW 87–7271.2Neutral17–14
03-05Southern Miss.L 80–8672.0Neutral17–15

Roster · 13 players

Player logs in 32 of 32 team games

MinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Cliff Davis3231:2978.1%15.93.11.71.20.01.21.568–13151.9%98–25937.8%79–9186.8%55.1%59.2%23.3%534:31 +3:0286.3%23.2 +7.3
Bradley Douglas3127:4666.7%12.42.03.50.70.02.31.776–15947.8%52–14535.9%75–10372.8%50.7%54.8%33.9%522:20 −5:2655.8%10.4 −2.0
Eddie Ricks III3126:2663.5%7.35.61.60.80.40.91.661–10061.0%15–5228.8%59–7578.7%54.9%61.1%49.3%522:22 −4:0455.9%6.2 −1.1
Justin McBride3027:1463.3%15.45.61.40.40.61.82.6130–24453.3%38–9340.9%87–11277.7%55.5%59.7%33.2%526:46 −0:2766.9%9.2 −6.2
Preston Fowler3222:4456.4%6.34.40.90.50.20.62.230–5158.8%36–11631.0%33–4671.7%50.3%53.7%27.5%528:23 +5:3971.0%8.4 +2.1
Gabe Newhof3219:0047.1%7.83.50.30.30.60.91.7103–17259.9%0–0—42–8151.9%59.9%59.7%47.1%519:13 +0:1348.0%9.8 +2.1
Christian Brown3213:3533.7%2.83.80.40.31.40.93.032–5855.2%†1–333.3%†24–4257.1%54.9%†57.2%†68.9%†514:59 +1:2437.4%3.8 +1.0
Kose Egbule2216:2227.9%3.72.01.80.50.21.42.013–3636.1%†11–3531.4%†23–3369.7%41.5%†47.9%†46.5%†524:27 +8:0561.1%6.4 +2.7
Eli Wilborn308:2719.6%2.33.00.30.20.60.72.132–5162.7%†0–0—5–2025.0%†62.7%†57.7%†39.2%†46:56 −1:3013.9%2.5 +0.2
Paul Jones III1910:4015.7%2.50.80.70.30.00.61.23–1127.3%†11–3928.2%†9–1369.2%†39.0%†43.1%†26.0%†————
Paul Lewis1311:5512.0%2.50.81.80.20.00.71.05–2321.7%†4–1330.8%†11–1478.6%†30.6%†39.1%†38.9%†————
Justin Taylor177:109.4%1.10.60.20.20.10.20.62–825.0%†2–366.7%†8–1457.1%†45.5%†52.4%†127.3%†13:36 −3:341.8%0.0 −1.1
Ike Cornish611:065.2%3.52.30.70.20.21.01.31–1100.0%†5–1435.7%†4–944.4%†56.7%†55.4%†60.0%†————
Team, games with logs · per game32 games74.736.512.54.111.7556–104553.2%273–77235.4%459–65370.3%53.1%56.8%35.9%
Sum of players74.733.312.55.14.110.919.0Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.30.00.0+0.8

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
$375K
80% Range $135K to $1.05M
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$320K to $400K
Scenario medians
Players with Figures
13
1 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Cliff Davis79.0%$100K$32K to $315K24.3%$85K to $105K$3KSufficient evidenceRange driven by assumption, not data
Bradley Douglas66.3%$18K$2K to $73K6.8%$15K to $19K$3KSufficient evidenceRange driven by assumption, not data
Eddie Ricks III65.4%$41K$7K to $130K12.3%$35K to $43K$3KSufficient evidenceRange driven by assumption, not data
Justin McBride63.1%$26K$3K to $94K9.2%$22K to $27K$3KSufficient evidenceRange driven by assumption, not data
Preston Fowler55.7%$53K$18K to $170K13.5%$45K to $57K$3KSufficient evidenceRange driven by assumption, not data
Gabe Newhof47.5%$43K$13K to $130K11.1%$37K to $46K$3KSufficient evidenceRange driven by assumption, not data
Christian Brown34.6%$12K$2K to $44K4.3%$10K to $13K$3KSufficient evidenceRange driven by assumption, not data
Kose Egbule27.9%$12K$2K to $43K4.2%$10K to $13K$3KSufficient evidenceRange driven by assumption, not data
Eli Wilborn18.4%$12K$3K to $40K3.8%$11K to $13K$3KSufficient evidenceRange driven by assumption, not data
Paul Jones III15.8%$5K$1K to $16K1.1%$4K to $5K$3KSufficient evidenceRange driven by assumption, not data
Paul Lewis12.6%$7K$2K to $21K2.1%$6K to $7K$3KLimited evidenceRange driven by assumption, not data
Justin Taylor9.4%$6K$2K to $19K1.9%$5K to $7K$3KLimited evidenceRange driven by assumption, not data
Ike Cornish4.3%$3K$1K to $8K0.8%$2K to $3K$3KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$375K$135K to $1.05M100%$320K to $400K—

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, James Madison University (NCAA Division I-FCS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$4,408,806Equals expenses (budget identity)
Men's basketball expenses$4,408,806
Athletics department expenses$68,384,574
Athletics department revenue$68,384,574

Team Totalsβ

Season per game, 32 games, 2,162 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points74.774.4
Field goals made25.924.9
Field goals attempted56.858.4
3-pointers made8.57.3
3-pointers attempted24.122.3
Free throws made14.317.3
Free throws attempted20.423.8
Offensive rebounds10.510.9
Defensive rebounds26.023.8
Total rebounds36.534.7
Assists12.511.3
Blocks4.13.6
Turnovers11.78.6
StealsNo team figure. Players sum to 164.
Personal foulsNo team figure. Players sum to 609.
Minutes (derived)201.6

32 of 32 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
PointsReconciled2,3902,3900±12.00
Field goals madeReconciled8298290±4.10
Field goals attemptedReconciled1,8171,8170±9.10
3-pointers madeReconciled2732730±2.00
3-pointers attemptedReconciled7727720±3.90
Free throws madeReconciled4594590±2.30
Free throws attemptedReconciled6536530±3.30
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown1,1681,064+104±93.40
AssistsReconciled4004000±2.00
BlocksReconciled1301300±2.00
TurnoversResidual shown374348+26±11.20
StealsNo team figure164
Personal foulsNo team figure609
Minutes (derived)Reconciled6,4506,434+15.8±129.00

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
Cliff Davis79.0%+2.4range +1.3 to +3.6Sufficient evidence
Bradley Douglas66.3%-1.1range -1.8 to -0.1Sufficient evidence
Eddie Ricks III65.4%+0.6range -0.9 to +2.1Sufficient evidence
Justin McBride63.1%-0.4range -1.6 to +1.0Sufficient evidence
Preston Fowler55.7%+1.8range +0.6 to +2.9Sufficient evidence
Gabe Newhof47.5%+1.5range +0.4 to +2.5Sufficient evidence
Christian Brown34.6%-0.9range -2.0 to +0.3Sufficient evidence
Kose Egbule27.9%-0.3range -1.8 to +1.0Sufficient evidence
Eli Wilborn18.4%+0.3range -0.7 to +1.4Sufficient evidence
Paul Jones III15.8%-3.1range -4.3 to -1.8Sufficient evidence
Paul Lewis12.6%-0.6range -0.9 to -0.2Limited evidence
Justin Taylor9.4%-0.3range -1.1 to +0.3Limited evidence
Ike Cornish4.3%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
+9.8range +9.0 to +10.7Sufficient evidence

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

12 valued players hold 99.1% of on-court time. 1 without a value (under 300 possessions) holds 0.9%, counted at replacement level -9.5. Limited-evidence players hold 4.4%.

NIL Methodology · Scheduling and Model-Implied Value