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

Omaha

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

Independent preseason modelNo.238

-5.4 adjusted net
per 100 estimated possessions

16172025–26 recorded finals
106.0Adjusted offense · 2026–27 baseline
111.4Adjusted defense · lower is better
68.2Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Omaha.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

161733 recorded games · 33 paired efficiency samples · pace 68.7Mean opponent adj. net -2.7 · 29 rated opponents
Offense

Effective FG%

53.6%33 games · higher is betterRank 93 / 366 · 75th favorable percentile
Defense

Opponent effective FG%

52.2%33 games · lower is betterRank 254 / 366 · 31th favorable percentile
Offense

Turnover rate

16.0%33 games · lower is betterRank 144 / 366 · 61th favorable percentile
Defense

Turnovers forced

14.4%33 games · higher is betterRank 329 / 366 · 10th favorable percentile
Offense

Offensive rebound rate

26.9%33 games · higher is betterRank 314 / 366 · 14th favorable percentile
Defense

Opponent offensive rebound rate

27.9%33 games · lower is betterRank 76 / 366 · 79th favorable percentile
Offense

Free-throw attempt rate

33.1%33 games · higher is betterRank 232 / 366 · 37th favorable percentile
Defense

Opponent free-throw attempt rate

31.5%33 games · lower is betterRank 105 / 366 · 72th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency110.233Points per 100 estimated possessions.
Defensive efficiency110.833Opponent points per 100 estimated possessions.
Two-point FG%54.2%33(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%55.1%33Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.2%333PM / 3PA.
Opponent three-point FG%32.6%33Opponent 3PM / 3PA.
Three-point attempt share41.6%333PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share46.8%33Opponent 3PA / FGA; a style measure.
Free-throw accuracy73.5%33FTM / FTA.
Opponent free-throw accuracy73.1%33Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share48.9%33Assists / FGM; describes recorded ball movement.
Opponent assisted FG share53.5%33Opponent 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 →
1.104
Points / source possession
68.79
Source possessions / game
19.4%
Transition share
19.0%
Assisted share
1.6%
Garbage-time share

2,270 source possession rows across 33 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

Opponent offensive rebound rate

27.9% · rank 76 of 366 · 33 games

Which matchups demand an extra box-out assignment?

A relative strength

Effective FG%

53.6% · rank 93 of 366 · 33 games

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

A closer look

Offensive rebound rate

26.9% · rank 314 of 366 · 33 games

Who crashes the glass, and how does that affect transition defense?

A closer look

Turnovers forced

14.4% · rank 329 of 366 · 33 games

Which defensive actions produce takeaways, and what shots do they concede?

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 10 times in the selected window; Omaha won 5. 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.60110160OldestNewest

Mar 8, 2026 · neutral vs N Dakota St · L 50–74 · offense 73.8 / defense 109.2

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 · 33 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
N Dakota StMar 8, 2026 · neutralL 507412873.8109.267.834.017.78.3
South DakotaMar 7, 2026 · neutralW 7662289117.495.864.751.77.724.2
St Thomas (MN)Mar 1, 2026 · roadL 536811881.3104.365.236.410.717.1
South DakotaFeb 26, 2026 · roadL 728928998.3121.573.347.313.622.2
Oral RobertsFeb 19, 2026 · homeW 8071300121.2107.666.062.919.735.5
DenverFeb 15, 2026 · homeW 8376268125.7115.166.064.010.614.3
St Thomas (MN)Feb 13, 2026 · homeW 9894118132.5127.174.060.812.233.3
N Dakota StFeb 7, 2026 · roadL 8492128125.2137.267.165.816.423.3
North DakotaFeb 6, 2026 · roadL 7376283107.0111.468.349.217.635.0
DenverJan 31, 2026 · roadW 8482268117.0114.271.851.511.129.7
S Dakota StJan 29, 2026 · homeW 8071161114.0101.270.252.511.424.2
Kansas CityJan 25, 2026 · roadW 7760337104.481.373.851.723.039.4
South DakotaJan 22, 2026 · homeL 646828988.694.272.245.519.424.2
Oral RobertsJan 18, 2026 · roadW 7362300108.692.267.255.411.913.3
N Dakota StJan 10, 2026 · homeL 7678128122.7125.961.959.419.438.5
North DakotaJan 9, 2026 · homeW 9079283131.5115.468.468.919.031.6
Kansas CityJan 4, 2026 · homeL 667333797.3107.667.854.622.120.0
S Dakota StJan 1, 2026 · roadL 698416198.6120.070.043.05.715.9
OregonDec 29, 2025 · roadL 57806189.6125.763.743.914.125.6
LamarDec 21, 2025 · roadW 8582232116.1112.065.160.219.124.1
York (NE)Dec 17, 2025 · homeW 10558Unrated140.777.774.759.99.443.9
DoaneDec 10, 2025 · homeW 7970Unrated114.2101.269.257.521.740.0
Portland StDec 6, 2025 · roadW 6055170103.795.157.846.019.036.7
N ColoradoDec 4, 2025 · homeL 7075149105.6113.166.350.013.622.9
Mid Amr ChrstnNov 30, 2025 · homeW 8462Unrated133.898.862.874.020.731.8
FIUNov 26, 2025 · roadL 617422984.8102.872.042.727.832.4
James MadisonNov 26, 2025 · neutralL 7788155118.9135.964.857.417.031.3
LSUNov 22, 2025 · roadL 73997494.0127.577.646.215.525.5
Concordia (NE)Nov 20, 2025 · homeW 9680Unrated136.9114.170.163.812.832.3
Southern UtahNov 16, 2025 · homeW 9085285120.8114.174.558.313.425.0
Colorado StNov 9, 2025 · roadL 749767113.1148.365.453.410.721.6
Abilene ChrstnNov 7, 2025 · roadL 7173248103.1106.068.953.323.225.9
Murray StNov 3, 2025 · neutralL 778513097.3107.479.150.021.527.8
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
Lance WaddlesG3329.412.84.82.156.522.4%331.4533 games20533 games
Tony OsburnG2932.811.63.02.355.917.9%292.2729 games18229 games
Ja'Sean GloverG3125.911.64.02.557.324.2%311.2331 games9931 games
Grant StubblefieldG2628.59.33.13.360.016.9%262.1026 games3926 games
Paul DjobetG2029.917.46.61.960.429.5%200.8120 games8220 games
Kamryn ThomasF2820.84.73.50.951.414.0%280.8728 games5228 games
Brock SchollF3314.54.13.30.249.515.7%330.8033 games433 games
Christian RichardsonC2715.77.43.00.070.520.8%270.0027 games027 games
Khamani CooperG2616.14.81.01.349.818.7%261.2226 games5426 games
Valentino SimonF3012.53.73.10.657.815.0%301.3130 games330 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 Omaha?

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.

17Source-listed players
12Same-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
Guard94,5714,571100%
Forward61,6301,630100%
Center2424424100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,625 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Lance WaddlesGSame programOmaha Mavericks29.412.856.5%
Tony OsburnGSame programOmaha Mavericks32.811.655.9%
Ja'Sean GloverGSame programOmaha Mavericks25.911.657.3%
Grant StubblefieldGSame programOmaha Mavericks28.59.360.0%
Paul DjobetGSame programOmaha Mavericks29.917.460.4%
Kamryn ThomasFSame programOmaha Mavericks20.84.751.4%
Brock SchollFSame programOmaha Mavericks14.54.149.5%
Christian RichardsonCSame programOmaha Mavericks15.77.470.5%
Khamani CooperGSame programOmaha Mavericks16.14.849.8%
Valentino SimonFSame programOmaha Mavericks12.53.757.8%
Julian MargraveFSame programOmaha Mavericks9.83.948.8%
Aidan SkradisGSame programOmaha Mavericks7.71.242.6%

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…

NEUTRAL FLOORNov 25, 2026 · TIME TBD

Omaha vs UC Davis

72.2Omaha
74.4UC Davis
UC Davis win estimate60.1%
Model signalLean
Projected home margin2.2
Projected total146.6
80% home-margin range-13.7 to 18.2
Estimated possessions69.1
Why the model tiltsfour-factor edge
Shot qualityAway 2.0 pts
UC Davis attack 50.2% · Omaha defense 52.7%
Omaha attack 50.8% · UC Davis defense 51.2%
Ball securityAway 6.7 pts
UC Davis attack 18.7% · Omaha defense 15.3%
Omaha attack 16.3% · UC Davis defense 19.5%
Second chancesHome 3.8 pts
UC Davis attack 28.2% · Omaha defense 28.3%
Omaha attack 27.0% · UC Davis defense 30.9%
Free-throw pressureHome 6.3 pts
UC Davis attack 39.2% · Omaha defense 34.7%
Omaha attack 36.1% · UC Davis defense 37.8%
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).

University Credit Union Center
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 28, 2026 · TIME TBD

Omaha vs Kansas St

69.3Omaha
83.0Kansas St
Kansas St win estimate84.0%
Model signalStrong lean
Projected home margin13.7
Projected total152.3
80% home-margin range-2.2 to 29.6
Estimated possessions70.7
Why the model tiltsfour-factor edge
Shot qualityAway 1.3 pts
Kansas St attack 53.1% · Omaha defense 52.7%
Omaha attack 50.8% · Kansas St defense 49.1%
Ball securityAway 4.0 pts
Kansas St attack 17.7% · Omaha defense 15.3%
Omaha attack 16.3% · Kansas St defense 17.9%
Second chancesHome 5.9 pts
Kansas St attack 30.8% · Omaha defense 28.3%
Omaha attack 27.0% · Kansas St defense 30.4%
Free-throw pressureAway 4.9 pts
Kansas St attack 32.3% · Omaha defense 34.7%
Omaha attack 36.1% · Kansas St defense 33.5%
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).

Bramlage Coliseum
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 7, 2027 · TIME TBD

North Dakota vs Omaha

73.4North Dakota
78.9Omaha
Omaha win estimate68.3%
Model signalLean
Projected home margin5.5
Projected total152.3
80% home-margin range-10.4 to 21.5
Estimated possessions68.7
Why the model tiltsfour-factor edge
Shot qualityAway 0.8 pts
Omaha attack 50.8% · North Dakota defense 54.9%
North Dakota attack 49.3% · Omaha defense 52.7%
Ball securityHome 2.0 pts
Omaha attack 16.3% · North Dakota defense 17.3%
North Dakota attack 16.2% · Omaha defense 15.3%
Second chancesAway 4.8 pts
Omaha attack 27.0% · North Dakota defense 30.6%
North Dakota attack 29.5% · Omaha defense 28.3%
Free-throw pressureAway 2.6 pts
Omaha attack 36.1% · North Dakota defense 37.4%
North Dakota attack 36.0% · Omaha defense 34.7%
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).

Baxter 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 ↗

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 →