Algosys College Basketball

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Little Rock

OVC · 2025–26 · Raw net rank 284 · Raw net -7.8 · Tempo 67.6 · 30 Division I games · Through 2026-03-04

All seasons
Record
10–20
10 wins
AdjNet
-10.0β
rank 304 of 365
AdjO
103.0β
rank 290 of 365
AdjD
113.0β
rank 289 of 365
AdjT
67.5β
SOS
-3.8β
rank 285 of 363
NCSOS
5.1β
WAB
-14.8β
rank 313 of 363
RR
-0.9β
Exp. W
10.9β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.101.9305109.7214108.5
Four Factors
Effective FG%49.427351.820051.4
TO / 100 poss.18.429218.57016.7
Offensive rebound %31.514336.635730.6
FTA / FGA %27.734533.113435.0
Shooting
3P%35.39634.421233.9
2P%47.931351.918851.7
FT%68.032669.22672.5
Style
3PA / FGA %31.040.339.5
Assists / FGM %52.253.752.6
Blocks / opp. 2PA %12.55.69.5
Point Distribution
3-pointers %27.932.931.4
2-pointers %56.149.048.8
Free throws %16.018.119.8

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

Rotation Depth

Effective Rotation Size
7.6
Top Three Share of Minutes
49%
Bench Share of Minutes
23%
Players with Logged Minutes
11

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-10MilwaukeeL 72–9269.5Away0–1
11-12MarquetteL 49–8966.9Away0–2
11-15Ball St.W 68–6267.1Away1–2
11-18Murray St.L 68–8966.3Away1–3
11-21Texas St.L 56–6564.6Away1–4
11-29Southern Ill.L 65–7463.9Away1–5
12-03Central Ark.L 47–8571.5Away1–6
12-06Arkansas St.L 78–9071.7Home1–7
12-09West VirginiaL 58–9062.8Away1–8
12-16Morehead St.L 64–7874.4Away1–9
12-18Southern Ind.W 77–6267.3Away2–9
01-01Tennessee TechW 77–5867.8Home3–9
01-03Tennessee St.L 79–8474.4Home3–10
01-08SIUEW 73–7062.7Away4–10
01-10LindenwoodW 82–7468.7Away5–10
01-15Eastern Ill.W 74–6364.4Home6–10
01-17Western Ill.W 86–7967.5Home7–10
01-22Southeast Mo. St.L 65–7068.0Away7–11
01-29Tennessee St.L 63–7069.1Away7–12
01-31Tennessee TechL 77–8768.0Away7–13
02-03UT MartinL 52–5562.1Away7–14
02-05LindenwoodL 74–7967.8Home7–15
02-07SIUEL 61–7167.4Home7–16
02-12Western Ill.W 77–5870.9Away8–16
02-14Eastern Ill.L 72–7866.4Away8–17
02-19UT MartinW 67–6559.6Home9–17
02-21Southeast Mo. St.L 65–7068.2Home9–18
02-26Morehead St.L 70–7664.5Home9–19
02-28Southern Ind.W 89–7067.0Home10–19
03-04LindenwoodL 62–7277.4Neutral10–20

Roster · 11 players

Player logs in 30 of 30 team games

Team roster, per game
Column groupsMinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Johnathan Lawson2936:0687.2%15.74.04.01.70.72.12.077–17643.8%70–20134.8%92–11282.1%48.3%53.5%29.7%437:14 +1:0974.5%15.5 −0.2
Braxton Bayless3033:1182.9%10.33.93.11.40.12.32.085–19443.8%30–9133.0%49–6971.0%45.6%49.0%24.2%533:12 +0:0283.0%8.0 −2.3
Kachi Nzeh3028:4371.8%11.64.71.40.70.91.82.181–16449.4%46–11440.4%48–6969.6%54.0%56.4%24.8%531:52 +3:0879.7%14.8 +3.2
Cameron Wallace3028:2671.1%12.16.81.70.90.21.62.4148–29450.3%1–185.6%†64–11257.1%47.9%50.2%35.9%533:09 +4:4482.9%14.6 +2.5
Tuongthach Gatkek2731:1270.2%9.06.12.01.41.71.83.1101–17059.4%1–425.0%†38–5766.7%58.9%61.0%32.8%532:10 +0:5880.4%8.8 −0.2
Truman Claytor IV2716:0336.1%6.21.40.60.70.21.12.141–9642.7%22–6334.9%20–2774.1%46.5%49.2%17.0%56:23 −9:4016.0%2.8 −3.4
Caleb Pennyfeather2811:4227.3%2.12.30.30.50.60.30.927–6243.5%†1–1100.0%†3–1030.0%†45.2%†44.5%†15.9%†46:10 −5:3212.3%0.5 −1.6
Tracy Steele Jr.2211:3321.2%1.71.20.50.20.10.71.04–1625.0%†8–1844.4%†6–1540.0%†47.1%†46.8%†44.1%†314:46 +3:1322.1%3.7 +1.9
Joseph Thomas1211:0011.0%3.50.90.30.40.00.41.14–1625.0%†10–2245.5%†4–580.0%†50.0%†52.2%†13.2%†519:09 +8:0947.9%6.6 +3.1
Terrion BurgessFew games523:239.7%7.43.01.20.20.21.01.012–1675.0%†2–633.3%†7–977.8%†68.2%†71.3%†40.9%†————
Christian HughesFew games716:039.4%0.40.60.61.00.10.32.00–80.0%†1–616.7%†0–20.0%†10.7%†10.1%†14.3%†————
Team, games with logs · per game30 games68.933.313.4not published4.412.5not published580–121247.9%192–54435.3%331–48768.0%49.4%52.5%27.7%
Sum of players68.930.013.47.54.411.615.9Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.40.0not published0.0+0.8not published

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
$180K
80% Range $69K to $505K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$165K to $225K
Scenario medians
Players with Figures
11

The widest scenario range, $87K to $620K, 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
Johnathan Lawson90.8%$11K$1K to $57K10.5%$10K to $14K$2KSufficient evidenceRange driven by assumption, not data
Braxton Bayless83.5%$5K$1K to $33K1.4%$4K to $6K$2KSufficient evidenceRange driven by assumption, not data
Kachi Nzeh71.3%$22K$2K to $79K14.3%$20K to $27K$2KSufficient evidenceRange driven by assumption, not data
Cameron Wallace70.0%$33K$8K to $110K17.5%$30K to $41K$2KSufficient evidenceRange driven by assumption, not data
Tuongthach Gatkek69.2%$57K$18K to $195K28.7%$53K to $72K$2KSufficient evidenceRange driven by assumption, not data
Truman Claytor IV38.0%$5K$1K to $23K3.7%$4K to $6K$2KSufficient evidenceRange driven by assumption, not data
Caleb Pennyfeather28.0%$3K$1K to $15K1.4%$3K to $4K$2KSufficient evidenceRange driven by assumption, not data
Tracy Steele Jr.19.9%$4K$1K to $15K2.9%$4K to $5K$2KSufficient evidenceRange driven by assumption, not data
Christian Hughes10.5%$2K$1K to $7K1.3%$2K to $3K$2KLimited evidenceRange driven by assumption, not data
Terrion Burgess10.5%$5K$1K to $15K2.9%$4K to $6K$2KLimited evidenceRange driven by assumption, not data
Joseph Thomas8.3%$4K$1K to $11K2.3%$3K to $4K$2KLimited evidenceRange driven by assumption, not data
Team Pool—$180K$69K to $505K100%$165K to $225K—

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, University of Arkansas at Little Rock (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$2,226,185Equals expenses (budget identity)
Men's basketball expenses$2,226,185
Athletics department expenses$12,718,000
Athletics department revenue$12,718,000

Team Totalsβ

Season per game, 30 games, 2,028 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points68.974.2
Field goals made25.726.3
Field goals attempted58.558.7
3-pointers made6.48.1
3-pointers attempted18.123.7
Free throws made11.013.4
Free throws attempted16.219.4
Offensive rebounds11.112.8
Defensive rebounds22.224.2
Total rebounds33.337.0
Assists13.414.1
Blocks4.42.3
Turnovers12.512.5
StealsNo team figure. Players sum to 226.
Personal foulsNo team figure. Players sum to 476.
Minutes (derived)200.0not published

30 of 30 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

Player lines against team totals
StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,0672,0670±10.30
Field goals madeReconciled7727720±3.90
Field goals attemptedReconciled1,7561,7560±8.80
3-pointers madeReconciled1921920±2.00
3-pointers attemptedReconciled5445440±2.70
Free throws madeReconciled3313310±2.00
Free throws attemptedReconciled4874870±2.40
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown1,000899+101±80.00
AssistsReconciled4034030±2.00
BlocksReconciled1311310±2.00
TurnoversResidual shown374349+25±11.20
StealsNo team figurenot published226not publishednot publishednot published
Personal foulsNo team figurenot published476not publishednot publishednot published
Minutes (derived)Reconciled6,0005,975+25.2±120.00

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
Johnathan Lawson90.8%-1.6range -2.6 to -0.3Sufficient evidence
Braxton Bayless83.5%-3.3range -4.6 to -2.2Sufficient evidence
Kachi Nzeh71.3%-0.2range -1.8 to +1.3Sufficient evidence
Cameron Wallace70.0%+0.7range -0.4 to +2.2Sufficient evidence
Tuongthach Gatkek69.2%+2.1range +0.8 to +3.1Sufficient evidence
Truman Claytor IV38.0%-1.8range -2.7 to -1.0Sufficient evidence
Caleb Pennyfeather28.0%-2.8range -4.1 to -1.5Sufficient evidence
Tracy Steele Jr.19.9%-1.5range -2.5 to -0.4Sufficient evidence
Christian Hughes10.5%-3.6range -4.2 to -2.8Limited evidence
Terrion Burgess10.5%-0.2range -1.2 to +0.9Limited evidence
Joseph Thomas8.3%-0.3range -0.8 to +0.2Limited 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
+8.6range +7.7 to +9.5Sufficient evidence

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

11 valued players hold 100.0% of on-court time. 0 without a value (under 300 possessions) hold 0.0%, counted at replacement level -9.5. Limited-evidence players hold 5.9%.

NIL Methodology · Scheduling and Model-Implied Value