Penn

Ivy · 2025–26 · Raw net rank 181 · Raw net -0.0 · Tempo 68.7 · 29 Division I games · Through 2026-03-19

Record: 17–12; 17 wins
AdjNet: 1.6β; rank 148 of 365
AdjO: 107.7β; rank 190 of 365
AdjD: 106.1β; rank 116 of 365
AdjT: 69.6β
SOS: —β
NCSOS: —β
WAB: —β
RR: —β
Exp. W: —β

SOS, NCSOS, WAB, RR and Exp. W need a venue for every game. One game has none. Methodology

Scouting Report

Scouting report with national ranks
Category	Offense	Defense	D-I Average
Efficiency
Efficiency / 100 poss.	107.3203	107.4143	108.5
Four Factors
Effective FG%	50.4223	52.1219	51.4
TO / 100 poss.	15.389	17.3131	16.7
Offensive rebound %	30.0200	31.3220	30.6
FTA / FGA %	33.9211	27.528	35.0
Shooting
3P%	38.313	32.275	33.9
2P%	46.5340	54.5298	51.7
FT%	69.4286	67.43	72.5
Style
3PA / FGA %	35.4	39.7	39.5
Assists / FGM %	52.3	53.2	52.6
Blocks / opp. 2PA %	8.5	9.4	9.5
Point Distribution
3-pointers %	32.7	31.3	31.4
2-pointers %	48.4	53.6	48.8
Free throws %	19.0	15.1	19.8

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

Rotation Depth

Effective Rotation Size: 8.9
Top Three Share of Minutes: 44%
Bench Share of Minutes: 34%
Players with Logged Minutes: 16

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
Date	Opponent	Result	Poss.	Site	Record
11-09	American	L 78–84	77.1	Away	0–1
11-11	Providence	L 81–106	79.2	Away	0–2
11-17	Saint Joseph's	W 83–74	75.0	Home	1–2
11-21	Drexel	W 84–68	67.2	Away	2–2
11-28	Merrimack	W 77–65	68.0	Home	3–2
11-29	La Salle	W 73–71	63.9	Home	4–2
11-30	Hofstra	L 60–77	66.8	Home	4–3
12-06	Villanova	L 63–90	65.9	Neutral	4–4
12-08	Lafayette	W 74–72	71.6	Home	5–4
12-20	Rutgers	L 69–70	68.3	Away	5–5
12-28	George Mason	L 79–83	68.7	Away	5–6
12-31	NJIT	W 80–61	69.9	Home	6–6
01-05	Princeton	L 76–78	66.5	Away	6–7
01-10	Brown	W 81–73	67.7	Home	7–7
01-17	Dartmouth	W 84–74	72.5	Away	8–7
01-19	Harvard	L 63–64	62.4	Away	8–8
01-24	Yale	L 60–77	66.6	Home	8–9
01-30	Columbia	L 67–72	67.0	Away	8–10
01-31	Cornell	W 91–81	72.1	Away	9–10
02-07	Princeton	W 61–60	58.4	Home	10–10
02-13	Columbia	W 76–67	70.4	Home	11–10
02-14	Cornell	W 82–76	76.2	Home	12–10
02-21	Yale	L 70–74	66.6	Away	12–11
02-27	Dartmouth	W 80–71	69.2	Home	13–11
02-28	Harvard	W 64–61	71.5	Home	14–11
03-06	Brown	W 82–61	71.8	Away	15–11
03-14	Harvard	W 62–60 1OT	69.9	Neutral	16–11
03-15	Yale	W 88–84 1OT	72.3	Neutral	17–11
03-19	Illinois	L 70–105	68.0	—	17–12

Roster · 16 players

Player logs in 29 of 29 team games

Team roster, per 40 minutes
Column groups	Minutes			Per 40 Minutes							Shooting									Last Five Team Games
Player	G	MPG	Team Min%	Pts	Reb	Ast	Stl	Blk	TO	PF	2P	2P%	3P	3P%	FT	FT%	eFG%	TS%	FTA/FGA	G	MPG	Min%	Pts/G
TJ Power	29	35:26	87.8%	18.9	8.6	2.7	1.3	0.7	2.5	2.4	95–203	46.8%	79–178	44.4%	59–90	65.6%	56.0%	57.8%	23.6%	5	37:33 +2:06	89.4%	18.4 +1.6
Michael Zanoni	29	29:20	72.7%	16.5	2.8	0.9	0.7	0.0	0.7	2.1	71–146	48.6%	55–139	39.6%	44–48	91.7%	53.9%	57.3%	16.8%	5	30:48 +1:28	73.3%	10.4 −1.7
AJ Levine	29	24:43	61.3%	13.7	5.1	6.2	3.0	0.1	3.2	4.2	69–142	48.6%	19–67	28.4%	51–80	63.7%	46.7%	50.4%	38.3%	5	26:44 +2:01	63.7%	8.8 +0.3
Ethan Roberts	22	31:08	58.5%	21.1	5.0	3.1	1.2	0.2	2.3	3.2	73–187	39.0%	36–94	38.3%	107–133	80.5%	45.2%	53.2%	47.3%	2	29:58 −1:11	28.5%	19.5 +3.1
Augustus Gerhart	29	20:00	49.6%	10.5	9.2	2.0	0.6	1.1	1.8	5.0	62–100	62.0%	0–1	0.0%†	28–44	63.6%	61.4%	63.1%	43.6%	5	17:56 −2:04	42.7%	2.2 −3.0
Lucas-Allan Lueth	28	15:52	38.0%	7.8	7.1	1.4	1.0	1.9	1.1	5.0	29–59	49.2%†	7–31	22.6%†	8–23	34.8%†	43.9%†	43.4%†	25.6%†	5	21:22 +5:30	50.9%	3.8 +0.7
Cam Thrower	26	17:01	37.8%	13.8	3.9	2.8	1.1	0.3	2.5	2.1	25–71	35.2%	25–60	41.7%	28–32	87.5%	47.7%	52.7%	24.4%	5	20:06 +3:05	47.9%	9.6 +3.7
Dalton Scantlebury	28	15:26	37.0%	14.2	9.6	1.4	1.7	1.9	1.9	4.3	57–115	49.6%	0–0	—	40–62	64.5%	49.6%	54.1%	53.9%	5	12:20 −3:06	29.4%	3.6 −1.9
Jay Jones	26	13:19	29.6%	11.1	6.9	3.5	1.5	0.1	2.1	3.7	23–53	43.4%†	6–17	35.3%†	32–54	59.3%	45.7%†	51.2%†	77.1%†	5	17:02 +3:43	40.6%	4.0 +0.3
Niklas Polonowski	22	5:36	10.5%	8.1	3.9	1.6	0.3	0.0	0.6	1.9	2–8	25.0%†	6–19	31.6%†	3–7	42.9%†	40.7%†	41.6%†	25.9%†	5	7:39 +2:02	18.2%	3.2 +2.1
Dylan WilliamsFew gamesUnder 100 minutes	7	8:51	5.3%	9.7	4.5	7.1	0.6	0.0	4.5	1.9	5–12	41.7%†	1–4	25.0%†	2–6	33.3%†	40.6%†	40.2%†	37.5%†	—	—	—	—
Alex MassungFew gamesUnder 100 minutes	9	5:12	4.0%	10.3	5.1	4.3	0.9	0.0	2.6	1.7	4–13	30.8%†	0–0	—	4–6	66.7%†	30.8%†	38.4%†	46.2%†	2	2:53 −2:19	2.7%	1.0 −0.3
Michelangelo ObertiUnder 100 minutes	11	4:12	3.9%	13.0	11.3	0.9	1.7	2.6	1.7	3.5	6–9	66.7%†	0–0	—	3–4	75.0%†	66.7%†	69.7%†	44.4%†	3	4:29 +0:17	6.4%	0.7 −0.7
Johnnie WalterFew gamesUnder 100 minutes	5	4:37	2.0%	8.7	5.2	0.0	0.0	0.0	0.0	8.7	1–2	50.0%†	1–3	33.3%†	0–0	—	50.0%†	50.0%†	0.0%†	2	3:22 −1:15	3.2%	1.5 +0.5
Payton KaminFew gamesUnder 100 minutes	3	2:43	0.7%	0.0	4.9	0.0	0.0	0.0	0.0	4.9	0–2	0.0%†	0–1	0.0%†	0–0	—	0.0%†	0.0%†	0.0%†	—	—	—	—
William KruseFew gamesUnder 100 minutes	2	2:20	0.4%	0.0	8.6	0.0	0.0	8.6	0.0	8.6	0–0	—	0–0	—	0–0	—	—	—	—	1	3:42 +1:23	1.8%	0.0 0.0
Team, games with logs · per 40 team minutes	29 games			73.8	34.9	13.5	not published	3.1	10.5	not published	522–1122	46.5%	235–614	38.3%	409–589	69.4%	50.4%	54.1%	33.9%
Sum of players				73.8	31.5	13.5	6.4	3.1	10.1	16.7	Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players				0.0	+3.5	0.0	not published	0.0	+0.5	not 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: $0 (assumed opted out); 80% Range $0 to $0 (assumed)
Tier: Low and other; low evidence

Assumed from one unverified press article that names schools that did not opt in. Methodology

No player figures. The Team Pool is $0.

What-If Calculator · Speculativeβ

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

No modelled Team Pool (opted out). Enter a pool of your own.

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 Pennsylvania (NCAA Division I-FCS)
Measure	School-Reported Amount	Note
Men's basketball revenue	$2,357,216	Equals expenses (budget identity)
Men's basketball expenses	$2,357,216
Athletics department expenses	$59,309,407
Athletics department revenue	$59,309,407

Team Totalsβ

Season per 40 minutes, 29 games, 2,011 possessions. Observed box-score sums, unadjusted. Per 40 uses 1170 game minutes, 5 per overtime period. Definitions

Team and opponent season totals
Statistic	Team	Opponents
Points	73.8	73.8
Field goals made	25.9	27.5
Field goals attempted	59.4	60.2
3-pointers made	8.0	7.7
3-pointers attempted	21.0	23.9
Free throws made	14.0	11.1
Free throws attempted	20.1	16.5
Offensive rebounds	10.9	11.0
Defensive rebounds	24.0	25.5
Total rebounds	34.9	36.4
Assists	13.5	14.6
Blocks	3.1	3.6
Turnovers	10.5	11.9
Steals	No team figure. Players sum to 187.
Personal fouls	No team figure. Players sum to 488.
Minutes (derived)	200.0	not published

29 of 29 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
Statistic	Status	Team Total, Logged Games	Sum of Players	Residual	Tolerance	Team Total, Games Without Logs
Points	Reconciled	2,158	2,158	0	±10.8	0
Field goals made	Reconciled	757	757	0	±3.8	0
Field goals attempted	Reconciled	1,736	1,736	0	±8.7	0
3-pointers made	Reconciled	235	235	0	±2.0	0
3-pointers attempted	Reconciled	614	614	0	±3.1	0
Free throws made	Reconciled	409	409	0	±2.0	0
Free throws attempted	Reconciled	589	589	0	±2.9	0
Offensive rebounds	No player split	not published	not published	not published	not published	not published
Defensive rebounds	No player split	not published	not published	not published	not published	not published
Total rebounds	Residual shown	1,022	920	+102	±81.8	0
Assists	Reconciled	396	396	0	±2.0	0
Blocks	Reconciled	90	90	0	±2.0	0
Turnovers	Residual shown	308	294	+14	±9.2	0
Steals	No team figure	not published	187	not published	not published	not published
Personal fouls	No team figure	not published	488	not published	not published	not published
Minutes (derived)	Reconciled	5,850	5,840	+10.2	±117.0	0

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.
Player	Poss. Share	Net and Rangeβ
TJ Power	88.6%	+2.0range +1.1 to +2.8Sufficient evidence
Michael Zanoni	74.2%	-0.4range -1.6 to +0.7Sufficient evidence
AJ Levine	62.7%	+0.7range -0.6 to +2.1Sufficient evidence
Ethan Roberts	59.9%	+0.8range -0.1 to +1.8Sufficient evidence
Augustus Gerhart	51.0%	-0.1range -0.9 to +0.7Sufficient evidence
Lucas-Allan Lueth	37.2%	+1.4range +0.8 to +2.2Sufficient evidence
Cam Thrower	37.0%	+1.2range +0.4 to +2.1Sufficient evidence
Dalton Scantlebury	36.4%	+2.4range +1.1 to +4.1Sufficient evidence
Jay Jones	28.7%	+1.4range +0.2 to +2.3Sufficient evidence
Niklas Polonowski	10.4%	-2.0range -2.7 to -1.3Limited evidence
Dylan Williams	4.5%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Alex Massung	3.6%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Michelangelo Oberti	3.6%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Johnnie Walter	1.4%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Payton Kamin	0.4%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
William Kruse	0.3%	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: +10.1range +9.2 to +11.0Sufficient evidence

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

10 valued players hold 97.2% of on-court time. 6 without a value (under 300 possessions) hold 2.8%, counted at replacement level -9.5. Limited-evidence players hold 2.1%.

NIL Methodology · Scheduling and Model-Implied Value