SSILVERMINECollege basketball stats
LIVE BOARD
2026–27 SEASON
← Program librarySource edition Sep 12, 2026
The program dossier / men’s basketball

Queens

2025–26 performance, personnel and game context.
A starting point for 2026–27 preparation.

Independent preseason modelNo.205

-3.3 adjusted net
per 100 estimated possessions

21142025–26 recorded finals
110.5Adjusted offense · 2026–27 baseline
113.8Adjusted defense · lower is better
70.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Queens.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

211435 recorded games · 35 paired efficiency samples · pace 70.9Mean opponent adj. net -3.2 · 34 rated opponents
Offense

Effective FG%

56.5%35 games · higher is betterRank 17 / 366 · 96th favorable percentile
Defense

Opponent effective FG%

54.2%35 games · lower is betterRank 329 / 366 · 10th favorable percentile
Offense

Turnover rate

14.8%35 games · lower is betterRank 60 / 366 · 84th favorable percentile
Defense

Turnovers forced

15.3%35 games · higher is betterRank 289 / 366 · 21th favorable percentile
Offense

Offensive rebound rate

30.0%35 games · higher is betterRank 218 / 366 · 41th favorable percentile
Defense

Opponent offensive rebound rate

33.7%35 games · lower is betterRank 327 / 366 · 11th favorable percentile
Offense

Free-throw attempt rate

36.5%35 games · higher is betterRank 139 / 366 · 62th favorable percentile
Defense

Opponent free-throw attempt rate

38.1%35 games · lower is betterRank 279 / 366 · 24th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency118.435Points per 100 estimated possessions.
Defensive efficiency117.035Opponent points per 100 estimated possessions.
Two-point FG%59.1%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%54.2%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.8%353PM / 3PA.
Opponent three-point FG%36.1%35Opponent 3PM / 3PA.
Three-point attempt share46.8%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share39.3%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy73.9%35FTM / FTA.
Opponent free-throw accuracy73.1%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share55.2%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share48.1%35Opponent assists / FGM.

Window changes describe the historical sample; they do not refit the preseason model. Full-season ranks require 10 games. Percentiles compare qualifying programs in the model’s rated field. Source coverage can differ by metric.

NCAA source context / 202526

What did the possessions look like?

Compare possession style →
1.180
Points / source possession
71.51
Source possessions / game
24.3%
Transition share
22.3%
Assisted share
2.8%
Garbage-time share

2,503 source possession rows across 35 recorded team-games. These are descriptive NCAA source aggregates: they do not assign individual credit or enter the forecast.

02 / The film queue

Turn a number into a question.

Full-season relative strengths and watch points
A relative strength

Effective FG%

56.5% · rank 17 of 366 · 35 games

Which actions create the team's efficient looks, and which personnel can reproduce them?

A relative strength

Turnover rate

14.8% · rank 60 of 366 · 35 games

Where do turnovers occur under pressure, and who can relieve that pressure?

A closer look

Opponent offensive rebound rate

33.7% · rank 327 of 366 · 35 games

Which matchups demand an extra box-out assignment?

A closer look

Opponent effective FG%

54.2% · rank 329 of 366 · 35 games

What coverages and lineups account for the shot quality opponents receive?

These are stat-led film prompts, not verified explanations of a scheme. Lower-ranked factors can still be above average. A five-point-or-closer final occurred 4 times in the selected window; Queens won 2. That small-sample record is not a clutch-skill estimate.

03 / How the season moved

Read beyond the average.

● Offense● Opponent offenseRaw points / 100 possessions · game order
Unadjusted efficiency by game. Focus a point to inspect it.60115170OldestNewest

Mar 20, 2026 · neutral vs Purdue · L 71–104 · offense 105.1 / defense 154.0

Higher offense and lower opponent offense are better. Opponent strength and venue are not adjusted here. Missing paired boxes create gaps.

Open the game-by-game scouting log · 35 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
PurdueMar 20, 2026 · neutralL 711049105.1154.067.551.511.823.5
C ArkansasMar 8, 2026 · neutralW 9893259122.3116.071.358.522.544.4
Austin PeayMar 8, 2026 · neutralW 9083216123.8114.172.759.26.926.2
West GeorgiaMar 7, 2026 · neutralW 716332597.586.572.850.916.516.7
C ArkansasFeb 28, 2026 · roadL 7984259111.3118.470.954.415.521.9
E KentuckyFeb 26, 2026 · roadW 9679256135.8111.870.760.09.925.0
West GeorgiaFeb 21, 2026 · homeW 9184325126.3116.672.154.38.329.4
North AlabamaFeb 19, 2026 · roadW 8578290126.1115.767.463.313.415.4
LipscombFeb 14, 2026 · homeW 8781144110.9103.278.567.022.918.5
Austin PeayFeb 12, 2026 · homeL 8795216118.1128.973.758.913.622.2
North FloridaFeb 7, 2026 · homeW 9172321131.9104.369.057.611.640.6
JacksonvilleFeb 6, 2026 · homeW 9384287131.8119.070.660.77.125.0
BellarmineJan 31, 2026 · roadL 7578317117.9122.663.654.012.636.1
C ArkansasJan 29, 2026 · homeL 90100259121.5135.074.164.714.916.7
West GeorgiaJan 24, 2026 · roadL 667432598.9110.866.846.718.035.1
North AlabamaJan 22, 2026 · homeW 8762290128.691.667.756.316.346.2
StetsonJan 17, 2026 · roadW 8781326125.0116.469.654.510.135.3
FGCUJan 16, 2026 · roadW 8574219119.9104.470.952.511.330.6
North FloridaJan 10, 2026 · roadW 8982321122.7113.072.654.612.437.8
JacksonvilleJan 9, 2026 · roadW 7751287117.978.165.360.916.825.0
BellarmineJan 3, 2026 · homeW 9876317137.0106.371.567.216.835.1
E KentuckyJan 2, 2026 · homeW 9189256130.3127.469.954.98.632.3
AuburnDec 30, 2025 · roadL 651061587.8143.274.039.318.925.0
ArkansasDec 17, 2025 · roadL 8010823100.4135.679.748.521.341.0
Wake ForestDec 14, 2025 · roadL 7311160101.7154.771.854.418.118.8
SC StateDec 13, 2025 · homeW 10278343142.3108.871.760.68.440.5
Gardner-WebbDec 4, 2025 · homeW 10774349146.0100.973.372.412.330.0
VirginiaNov 28, 2025 · roadL 699435107.0145.764.545.217.140.0
FurmanNov 23, 2025 · roadL 7990146125.3142.863.055.16.324.2
UNC GreensboroNov 21, 2025 · homeW 10194227148.5138.268.065.38.840.0
Sacred HeartNov 15, 2025 · homeW 8164279116.592.169.562.723.032.1
DuquesneNov 12, 2025 · roadL 818712994.1101.176.543.618.629.8
VillanovaNov 9, 2025 · roadL 749436108.4137.868.266.023.413.0
LynchburgNov 6, 2025 · homeW 8776Unrated110.696.678.760.617.823.7
WinthropNov 3, 2025 · neutralL 7481153102.5112.272.247.623.637.8
04 / The people behind the possessions

Personnel and workload.

Full player index →

2025–26 recorded affiliations, independent of the split selector. This is not a confirmed 2026–27 roster. Inspect roster observations →

PlayerGPMIN/GPTS/GREB/GAST/GTS%Est. usageUsage gamesAST/TO3PA
Chris AshbyG3530.711.62.01.556.017.9%352.0435 games29635 games
Nasir MannG3530.413.35.72.858.821.1%351.7335 games10735 games
Yoav BermanG3529.212.33.93.654.522.1%352.1535 games14835 games
Carson SchwiegerF3424.610.13.10.861.317.8%341.4234 games22534 games
Avantae ParkerF3522.111.15.31.267.522.0%350.7635 games1335 games
Jordan WatfordG3520.811.82.63.967.025.4%352.0835 games2435 games
Maban JabrielF3519.87.73.81.063.017.4%351.1735 games11135 games
Gus LarsonF3511.83.12.10.756.514.7%350.9235 games1635 games
Isaiah HenryG267.93.01.70.457.419.4%260.7126 games1626 games

Usage is a minutes-based estimate over the stated sample, not a direct measure of on-court possessions. Low-minute estimates are noisy. AST/TO is unavailable when recorded turnovers are zero; missing fields are never filled with zero.

05 / Recruiting evidence

What changed around Queens?

Open the full recruiting file →Build a role shortlist →

This panel keeps dated school publications, source-listed roster observations and prior college production in separate evidence lanes. A source record does not establish eligibility, availability or a future role.

19Source-listed players
13Same-program prior records
0Different-program records
100%Prior minutes represented
Role workload watch

Which source-listed role is represented?

Open roster lab →

Prior minutes are grouped by the source-reported position on the current listing. “Unrepresented” means prior minutes not attached to a same-program listing in this release; it does not establish a departure, transfer, eligibility or expected role.

RoleListedPrior minutesReturning minutesIncoming prior minutesReturning shareUnrepresented
Guard144,1484,148100%
Forward52,9012,901100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (7,049 minutes).

No dated school announcement is in the selected review file for this program. The roster row below is observation-only; absence of a reviewed announcement does not mean the program made no move.

No announced additions are in the reviewed file for this program.

Roster observation

Who is listed in the source release?

Rank this roster’s workload →

19 source-listed players. Prior rates below are attached by exact source ID where available; missing values remain missing.

PlayerObservationPrior MPGPrior PPGPrior TS%
Chris AshbyGSame programQueens University Royals30.711.656.0%
Nasir MannGSame programQueens University Royals30.413.358.8%
Yoav BermanGSame programQueens University Royals29.212.354.5%
Carson SchwiegerFSame programQueens University Royals24.610.161.3%
Avantae ParkerFSame programQueens University Royals22.111.167.5%
Jordan WatfordGSame programQueens University Royals20.811.867.0%
Maban JabrielFSame programQueens University Royals19.87.763.0%
Gus LarsonFSame programQueens University Royals11.83.156.5%
Isaiah HenryGSame programQueens University Royals7.93.057.4%
Kam ClarkFSame programQueens University Royals7.31.842.8%
Reid CelestinGSame programQueens University Royals2.90.221.7%
Tyler CriderGSame programQueens University Royals1.20.00.0%

Showing the 12 highest prior-minute records. Open the full roster board for every source-listed player.

Recruiting review edition Sep 8, 2026 · coverage is partial (14 programs reviewed). See the full methodology and coverage map before drawing a roster conclusion.

Look ahead / 2026–27

The next assignments.

Full published slate →

Checking the live schedule edition…

ON THE SCHEDULEDec 5, 2026 · TIME TBD

Queens vs Gardner-Webb

83.1Queens
77.0Gardner-Webb
Gardner-Webb win estimate37.6%
Model signalLean
Projected home margin-6.1
Projected total160.1
80% home-margin range-22.0 to 9.8
Estimated possessions72.0
Why the model tiltsfour-factor edge
Shot qualityAway 3.3 pts
Gardner-Webb attack 49.6% · Queens defense 53.3%
Queens attack 52.8% · Gardner-Webb defense 53.2%
Ball securityAway 2.6 pts
Gardner-Webb attack 19.0% · Queens defense 15.9%
Queens attack 16.5% · Gardner-Webb defense 16.0%
Second chancesAway 2.3 pts
Gardner-Webb attack 27.4% · Queens defense 31.3%
Queens attack 29.3% · Gardner-Webb defense 30.9%
Free-throw pressureAway 2.4 pts
Gardner-Webb attack 33.5% · Queens defense 35.3%
Queens attack 35.8% · Gardner-Webb defense 35.2%
Opponent-adjusted rates from the 202526 season. Positive edge favors the home side; defensive direction follows the factor (lower allowed shooting, rebounding and free-throw rates, higher forced-turnover rate).

Paul Porter Arena
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →

Read the matchup brief →Open ESPN source game ↗
ON THE SCHEDULEDec 9, 2026 · TIME TBD

Queens vs Baylor

72.3Queens
90.6Baylor
Baylor win estimate89.7%
Model signalStrong lean
Projected home margin18.3
Projected total162.9
80% home-margin range2.4 to 34.2
Estimated possessions69.6
Why the model tiltsfour-factor edge
Shot qualityAway 0.5 pts
Baylor attack 54.7% · Queens defense 53.3%
Queens attack 52.8% · Baylor defense 50.9%
Ball securityAway 0.8 pts
Baylor attack 15.7% · Queens defense 15.9%
Queens attack 16.5% · Baylor defense 17.6%
Second chancesHome 3.4 pts
Baylor attack 36.1% · Queens defense 31.3%
Queens attack 29.3% · Baylor defense 27.9%
Free-throw pressureAway 3.3 pts
Baylor attack 35.5% · Queens defense 35.3%
Queens attack 35.8% · Baylor defense 32.3%
Opponent-adjusted rates from the 202526 season. Positive edge favors the home side; defensive direction follows the factor (lower allowed shooting, rebounding and free-throw rates, higher forced-turnover rate).

Foster Pavilion
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →

Read the matchup brief →Open ESPN source game ↗
ON THE SCHEDULEJan 9, 2027 · TIME TBD

Queens vs West Florida

76.0Queens
81.8West Florida
West Florida win estimate68.9%

Exploratory cold-start estimate · at least one program is outside the trained field. Range is calibrated wider from held-out games; this estimate is not registered as a primary model forecast.

Model signalLean
Projected home margin5.8
Projected total157.8
80% home-margin range-42.0 to 53.6
Estimated possessions70.3

UWF Field House
Cold-start estimate · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →

Read the matchup brief →Open ESPN source game ↗

Read the evidence correctly.

The top-line adjusted ratings use the full published preseason model. Split statistics below them are unadjusted observations from 2025–26. Opponent ranks are the current model’s ranks, not what was known before each historical game. The “top 50” split is descriptive and does not enter model evaluation.

Rates pool numerators and denominators from games with all fields required for that metric. Missing values remain unavailable; every metric shows its game count. Ranks require at least 10 games and compare programs in the model’s rated field. Ties share rank; percentiles use their average position. High percentiles mean favorable values only for metrics with a defined direction.

Player workloads refer to recorded 2025–26 appearances. Estimated usage divides FGA + 0.475 × FTA + turnovers by minutes-prorated team opportunities in those same games. It assumes team opportunity rates were constant while a player was on court; it is not a lineup or play-by-play measurement. Overtime is included in available minutes. Minutes and usage samples can differ.

Source statistics: SportsDataverse bulk releases, CC BY 4.0. Calculations and model: Silvermine. Definitions draw on publicly documented Four Factors and basketball rate statistics; these are not another publisher’s proprietary ratings. Model notebook →