Algosys College Basketball

Search teams and players

Type a team or player name. Results are alphabetical; players show their 2026 team. Up and Down move, Enter opens the highlighted result or the first one, Esc closes.

Drake

MVC · 2025–26 · Raw net rank 231 · Raw net -3.5 · Tempo 67.9 · 32 Division I games · Through 2026-03-07

All seasons
Record
12–20
12 wins
AdjNet
-1.7β
rank 200 of 365
AdjO
109.5β
rank 144 of 365
AdjD
111.2β
rank 249 of 365
AdjT
68.1β
SOS
1.3β
rank 124 of 363
NCSOS
-4.6β
WAB
-11.9β
rank 258 of 363
RR
-1.2β
Exp. W
13.2β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.108.1182111.6263108.5
Four Factors
Effective FG%51.418052.624651.4
TO / 100 poss.15.06514.631416.7
Offensive rebound %26.631029.915530.6
FTA / FGA %33.522332.010235.0
Shooting
3P%34.017336.432333.9
2P%51.718151.114651.7
FT%71.422668.3872.5
Style
3PA / FGA %45.743.339.5
Assists / FGM %51.654.852.6
Blocks / opp. 2PA %8.58.79.5
Point Distribution
3-pointers %36.837.231.4
2-pointers %44.345.648.8
Free throws %18.917.219.8

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

Rotation Depth

Effective Rotation Size
8.5
Top Three Share of Minutes
46%
Bench Share of Minutes
31%
Players with Logged Minutes
10

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-03Northern Ariz.W 77–7169.1Neutral1–0
11-06Robert MorrisL 79–81 1OT74.5Home1–1
11-14SIUEL 59–6161.0Home1–2
11-17Col. of CharlestonW 71–6268.8Away2–2
11-28LSUL 62–7168.3Neutral2–3
11-29Georgia TechW 84–7465.2Neutral3–3
12-02Western Ill.W 108–5763.8Home4–3
12-05UABL 69–7468.4Home4–4
12-13North Dakota St.L 94–9972.1Home4–5
12-18Murray St.L 72–8166.8Away4–6
12-21EvansvilleW 66–6565.3Away5–6
12-29Illinois St.L 56–7366.1Home5–7
01-04Indiana St.W 74–7263.2Home6–7
01-07BradleyL 66–9374.3Away6–8
01-10BelmontL 76–7872.8Home6–9
01-14Southern Ill.W 76–73 1OT79.1Away7–9
01-17UICL 67–7466.3Away7–10
01-21Murray St.W 101–9081.9Home8–10
01-24Indiana St.W 76–6273.2Away9–10
01-28EvansvilleW 82–7866.9Home10–10
01-31BradleyL 73–8765.0Home10–11
02-03BelmontL 90–10369.9Away10–12
02-06Illinois St.L 76–8672.2Away10–13
02-09ValparaisoL 76–8166.7Home10–14
02-12UICL 70–8065.6Home10–15
02-15UNIL 62–8665.6Away10–16
02-18Southern Ill.L 61–6670.6Home10–17
02-25ValparaisoL 71–7463.6Away10–18
03-01UNIL 53–7563.0Home10–19
03-05Southern Ill.W 67–6364.4Neutral11–19
03-06BelmontW 100–7972.2Neutral12–19
03-07UICL 51–7262.1Neutral12–20

Roster · 10 players

Player logs in 32 of 32 team games

Team roster, per 40 minutes
Column groupsMinutesPer 40 MinutesShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Jalen Quinn3233:5484.1%23.94.73.41.30.13.43.1175–35449.4%46–13135.1%160–21574.4%50.3%55.9%44.3%535:03 +1:0987.6%18.4 −1.9
Andrew Alia3131:2075.3%8.76.11.71.10.00.93.024–5246.2%42–11137.8%38–4780.9%53.4%57.7%28.8%427:44 −3:3655.5%3.3 −3.6
Eli Shetlar3227:4869.0%13.06.21.91.10.30.92.923–4156.1%73–18339.9%24–3666.7%59.2%60.2%16.1%533:43 +5:5584.3%10.8 +1.8
Okku Federiko3223:2057.9%14.28.22.51.01.72.24.784–14259.2%15–5427.8%52–8859.1%54.3%56.5%44.9%520:36 −2:4451.5%4.0 −4.3
Owen Larson2528:4755.8%13.84.63.91.00.02.52.951–9255.4%36–12628.6%39–4586.7%48.2%52.4%20.6%534:22 +5:3585.9%16.8 +6.8
Jaehshon Thomas3120:5950.4%16.43.72.60.90.11.52.464–13547.4%29–9829.6%52–6975.4%46.1%50.7%29.6%519:41 −1:1849.2%5.0 −3.6
Griffen Goodbary3013:0330.4%10.48.02.80.60.71.04.122–3661.1%†11–3234.4%†25–3669.4%56.6%†60.8%†52.9%†517:30 +4:2743.7%5.4 +2.0
Isaiah Carr3011:4027.1%12.310.72.21.53.93.17.540–7156.3%†0–10.0%†28–4759.6%55.6%†58.3%†65.3%†510:39 −1:0126.6%3.2 −0.4
Braden Appelhans2512:3824.5%14.34.31.50.80.31.12.211–2937.9%29–7538.7%4–666.7%†52.4%53.0%5.8%————
Wilguens Jr. Exacte1619:3424.3%14.38.43.30.60.82.43.630–6248.4%9–4221.4%†25–3767.6%41.8%46.6%35.6%46:25 −13:0912.8%2.8 −4.3
Team, games with logs · per 40 team minutes32 games73.334.513.0not published2.910.2not published524–101451.7%290–85334.0%447–62671.4%51.4%55.2%33.5%
Sum of players73.330.413.05.22.99.717.1Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+4.10.0not published0.0+0.5not 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
$595K
80% Range $265K to $1.35M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$560K to $715K
Scenario medians
Players with Figures
10

The widest scenario range, $315K to $1.60M, 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
Jalen Quinn84.4%$41K$4K to $145K9.5%$38K to $49K$6KSufficient evidenceRange driven by assumption, not data
Andrew Alia76.1%$65K$8K to $190K13.3%$61K to $77K$6KSufficient evidenceRange driven by assumption, not data
Eli Shetlar69.0%$110K$34K to $315K17.2%$100K to $130K$6KSufficient evidenceRange driven by assumption, not data
Okku Federiko58.6%$45K$6K to $135K9.4%$42K to $53K$6KSufficient evidenceRange driven by assumption, not data
Owen Larson56.6%$29K$4K to $105K6.7%$28K to $35K$6KSufficient evidenceRange driven by assumption, not data
Jaehshon Thomas50.5%$38K$5K to $115K8.1%$35K to $44K$6KSufficient evidenceRange driven by assumption, not data
Griffen Goodbary29.7%$56K$20K to $170K8.5%$52K to $66K$6KSufficient evidenceRange driven by assumption, not data
Isaiah Carr27.0%$55K$19K to $175K8.2%$51K to $65K$6KSufficient evidenceRange driven by assumption, not data
Braden Appelhans24.2%$31K$8K to $88K5.4%$29K to $36K$6KSufficient evidenceRange driven by assumption, not data
Wilguens Jr. Exacte23.9%$44K$17K to $120K6.8%$41K to $52K$6KSufficient evidenceRange driven by assumption, not data
Team Pool—$595K$265K to $1.35M100%$560K to $715K—

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, Drake University (NCAA Division I-FCS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$4,275,182Equals expenses (budget identity)
Men's basketball expenses$4,275,182
Athletics department expenses$21,320,822
Athletics department revenue$21,320,822

Team Totalsβ

Season per 40 minutes, 32 games, 2,188 possessions. Observed box-score sums, unadjusted. Per 40 uses 1290 game minutes, 5 per overtime period. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points73.375.7
Field goals made25.226.6
Field goals attempted57.959.6
3-pointers made9.09.4
3-pointers attempted26.425.8
Free throws made13.913.0
Free throws attempted19.419.1
Offensive rebounds9.410.7
Defensive rebounds25.126.0
Total rebounds34.536.7
Assists13.014.6
Blocks2.92.7
Turnovers10.29.9
StealsNo team figure. Players sum to 167.
Personal foulsNo team figure. Players sum to 551.
Minutes (derived)200.0not published

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

Player lines against team totals
StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,3652,3650±11.80
Field goals madeReconciled8148140±4.10
Field goals attemptedReconciled1,8671,8670±9.30
3-pointers madeReconciled2902900±2.00
3-pointers attemptedReconciled8538530±4.30
Free throws madeReconciled4474470±2.20
Free throws attemptedReconciled6266260±3.10
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown1,112980+132±89.00
AssistsReconciled4204200±2.10
BlocksReconciled93930±2.00
TurnoversResidual shown328312+16±9.80
StealsNo team figurenot published167not publishednot publishednot published
Personal foulsNo team figurenot published551not publishednot publishednot published
Minutes (derived)Reconciled6,4506,434+16.0±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
Jalen Quinn84.4%-1.1range -2.6 to +0.1Sufficient evidence
Andrew Alia76.1%-0.0range -1.4 to +1.0Sufficient evidence
Eli Shetlar69.0%+1.3range -0.3 to +2.8Sufficient evidence
Okku Federiko58.6%-0.4range -2.1 to +0.8Sufficient evidence
Owen Larson56.6%-1.1range -2.5 to +0.3Sufficient evidence
Jaehshon Thomas50.5%-0.5range -1.9 to +0.8Sufficient evidence
Griffen Goodbary29.7%+1.4range +0.1 to +2.8Sufficient evidence
Isaiah Carr27.0%+1.7range +0.3 to +3.0Sufficient evidence
Braden Appelhans24.2%+0.4range -1.1 to +1.8Sufficient evidence
Wilguens Jr. Exacte23.9%+1.2range +0.2 to +2.1Sufficient 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
+9.5range +8.5 to +10.3Sufficient evidence

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

10 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 0.0%.

NIL Methodology · Scheduling and Model-Implied Value