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

Creighton

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

Independent preseason modelNo.47

+14.4 adjusted net
per 100 estimated possessions

16182025–26 recorded finals
115.3Adjusted offense · 2026–27 baseline
100.9Adjusted defense · lower is better
68.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Creighton.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

161834 recorded games · 34 paired efficiency samples · pace 68.6Mean opponent adj. net 10.4 · 34 rated opponents
Offense

Effective FG%

53.0%34 games · higher is betterRank 120 / 366 · 67th favorable percentile
Defense

Opponent effective FG%

51.1%34 games · lower is betterRank 192 / 366 · 48th favorable percentile
Offense

Turnover rate

16.3%34 games · lower is betterRank 166 / 366 · 55th favorable percentile
Defense

Turnovers forced

13.7%34 games · higher is betterRank 346 / 366 · 5th favorable percentile
Offense

Offensive rebound rate

26.9%34 games · higher is betterRank 319 / 366 · 13th favorable percentile
Defense

Opponent offensive rebound rate

29.5%34 games · lower is betterRank 154 / 366 · 58th favorable percentile
Offense

Free-throw attempt rate

28.3%34 games · higher is betterRank 337 / 366 · 8th favorable percentile
Defense

Opponent free-throw attempt rate

24.8%34 games · lower is betterRank 7 / 366 · 98th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency109.134Points per 100 estimated possessions.
Defensive efficiency109.234Opponent points per 100 estimated possessions.
Two-point FG%54.7%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%50.3%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%34.1%343PM / 3PA.
Opponent three-point FG%35.1%34Opponent 3PM / 3PA.
Three-point attempt share48.2%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share32.1%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy76.4%34FTM / FTA.
Opponent free-throw accuracy70.2%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share58.4%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share50.2%34Opponent 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 →
1.088
Points / source possession
69.12
Source possessions / game
23.5%
Transition share
22.3%
Assisted share
4.3%
Garbage-time share

2,350 source possession rows across 34 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 free-throw attempt rate

24.8% · rank 7 of 366 · 34 games

Which defenders can protect the paint without surrendering free throws?

A relative strength

Effective FG%

53.0% · rank 120 of 366 · 34 games

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

A closer look

Free-throw attempt rate

28.3% · rank 337 of 366 · 34 games

Who generates contact, and how do opponents keep them off the line?

A closer look

Turnovers forced

13.7% · rank 346 of 366 · 34 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; Creighton 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.50105160OldestNewest

Apr 4, 2026 · neutral vs West Virginia · L 70–87 · offense 103.6 / defense 128.7

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 · 34 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
West VirginiaApr 4, 2026 · neutralL 708752103.6128.767.649.110.48.8
RutgersApr 3, 2026 · neutralW 8269107110.392.874.452.517.523.5
Seton HallMar 12, 2026 · neutralL 61727888.5104.468.940.014.523.3
ButlerMar 4, 2026 · roadW 765982107.483.470.850.012.724.3
ProvidenceFeb 28, 2026 · homeL 767973111.9116.367.950.014.730.6
DePaulFeb 26, 2026 · homeL 7172134109.3110.865.053.618.530.3
St John'sFeb 21, 2026 · roadL 52811469.6108.474.737.724.112.8
UConnFeb 19, 2026 · roadW 918410120.7111.475.458.210.612.9
VillanovaFeb 14, 2026 · homeL 69803699.5115.369.447.717.331.0
DePaulFeb 12, 2026 · roadL 7172134114.8116.461.961.216.220.0
Seton HallFeb 7, 2026 · homeW 696878103.5102.066.755.727.030.0
GeorgetownFeb 5, 2026 · roadL 687610592.3103.173.749.221.725.6
UConnFeb 1, 2026 · homeL 58851097.7143.259.446.616.820.0
MarquetteJan 28, 2026 · roadL 62864689.9124.769.046.120.326.3
XavierJan 22, 2026 · homeW 949368129.5128.172.665.312.420.0
ProvidenceJan 16, 2026 · roadL 889373115.5122.076.248.513.134.1
GeorgetownJan 14, 2026 · homeW 8683105133.5128.857.363.19.323.3
St John'sJan 10, 2026 · homeL 739014108.9134.367.056.013.46.9
VillanovaJan 8, 2026 · roadW 767236120.8114.462.956.012.741.9
Seton HallJan 4, 2026 · roadL 54567885.388.563.340.017.428.2
ButlerDec 31, 2025 · homeW 898582122.6117.172.659.516.532.3
Utah TechDec 23, 2025 · homeW 9269240127.895.972.064.315.328.1
MarquetteDec 21, 2025 · homeW 846346109.181.877.054.815.617.6
XavierDec 17, 2025 · roadW 985768132.877.273.873.016.324.0
Kansas StDec 13, 2025 · homeL 768383114.1124.666.649.210.528.9
NebraskaDec 7, 2025 · roadL 50712478.4111.363.838.518.822.5
NichollsDec 3, 2025 · homeW 9676235140.2111.068.575.417.526.1
OregonNov 27, 2025 · neutralW 766661112.497.667.648.37.417.6
Iowa StateNov 25, 2025 · neutralL 6078588.3114.867.946.625.029.7
BaylorNov 24, 2025 · neutralL 748133109.3119.767.756.019.225.8
North DakotaNov 20, 2025 · homeW 7560283116.293.064.647.617.050.0
MD EasternNov 15, 2025 · homeW 8445361130.269.764.556.713.945.9
GonzagaNov 12, 2025 · roadL 6390887.6125.171.943.923.623.1
South DakotaNov 6, 2025 · homeW 9276289126.1104.272.955.417.854.3
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
Josh DixG3432.913.23.72.355.820.4%341.9834 games20434 games
Jasen GreenF3328.410.56.32.460.118.4%331.7433 games5733 games
Nik GravesG3426.710.93.04.453.422.9%342.6634 games13434 games
Austin SwartzG3021.610.92.81.456.925.6%301.2030 games16730 games
Isaac TraudtF3418.96.52.50.457.716.5%341.0034 games16034 games
Blake HarperG3418.47.73.61.258.122.2%340.8934 games5534 games
Fedor ZugicG3416.25.22.00.953.017.9%341.2334 games9534 games
Ty DavisG3311.31.21.61.244.510.1%331.4133 games2033 games
Owen FreemanF2611.85.04.00.961.120.5%261.3526 games026 games
Hudson GreerG2213.74.72.00.456.818.7%220.5022 games4722 games
Kerem KonanF308.42.61.80.461.916.5%300.6530 games030 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 Creighton?

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.

15Source-listed players
14Same-program prior records
0Different-program records
84%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
Guard73,4713,471100%
Forward72,2342,234100%
Center1

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,705 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Jasen GreenFSame programCreighton Bluejays28.410.560.1%
Nik GravesGSame programCreighton Bluejays26.710.953.4%
Austin SwartzGSame programCreighton Bluejays21.610.956.9%
Isaac TraudtFSame programCreighton Bluejays18.96.557.7%
Blake HarperGSame programCreighton Bluejays18.47.758.1%
Fedor ZugicGSame programCreighton Bluejays16.25.253.0%
Ty DavisGSame programCreighton Bluejays11.31.244.5%
Owen FreemanFSame programCreighton Bluejays11.85.061.1%
Hudson GreerGSame programCreighton Bluejays13.74.756.8%
Kerem KonanFSame programCreighton Bluejays8.42.661.9%
Jackson McAndrewFSame programCreighton Bluejays20.56.842.4%
Shane ThomasGSame programCreighton Bluejays3.40.844.6%

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…

ON THE SCHEDULENov 2, 2026 · TIME TBD

Kansas City vs Creighton

60.2Kansas City
83.5Creighton
Creighton win estimate93.8%
Model signalStrong lean
Projected home margin23.3
Projected total143.8
80% home-margin range7.4 to 39.3
Estimated possessions68.4
Why the model tiltsfour-factor edge
Shot qualityHome 4.0 pts
Creighton attack 55.6% · Kansas City defense 52.7%
Kansas City attack 47.0% · Creighton defense 48.0%
Ball securityHome 6.0 pts
Creighton attack 16.1% · Kansas City defense 17.2%
Kansas City attack 18.6% · Creighton defense 13.7%
Second chancesAway 8.9 pts
Creighton attack 27.3% · Kansas City defense 32.0%
Kansas City attack 30.2% · Creighton defense 26.0%
Free-throw pressureAway 14.5 pts
Creighton attack 30.2% · Kansas City defense 35.4%
Kansas City attack 31.8% · Creighton defense 22.6%
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).

CHI Health Center Omaha
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 SCHEDULENov 5, 2026 · TIME TBD

Le Moyne vs Creighton

64.6Le Moyne
86.3Creighton
Creighton win estimate92.6%
Model signalStrong lean
Projected home margin21.7
Projected total150.9
80% home-margin range5.7 to 37.6
Estimated possessions69.6
Why the model tiltsfour-factor edge
Shot qualityAway 0.3 pts
Creighton attack 55.6% · Le Moyne defense 52.4%
Le Moyne attack 51.5% · Creighton defense 48.0%
Ball securityHome 4.6 pts
Creighton attack 16.1% · Le Moyne defense 15.8%
Le Moyne attack 18.6% · Creighton defense 13.7%
Second chancesAway 3.3 pts
Creighton attack 27.3% · Le Moyne defense 31.4%
Le Moyne attack 25.2% · Creighton defense 26.0%
Free-throw pressureAway 19.4 pts
Creighton attack 30.2% · Le Moyne defense 35.4%
Le Moyne attack 36.7% · Creighton defense 22.6%
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).

CHI Health Center Omaha
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 SCHEDULENov 10, 2026 · TIME TBD

Creighton vs Kansas St

75.9Creighton
75.7Kansas St
Kansas St win estimate53.3%
Model signalToss-up
Projected home margin-0.3
Projected total151.6
80% home-margin range-16.2 to 15.6
Estimated possessions70.8
Why the model tiltsfour-factor edge
Shot qualityAway 1.4 pts
Kansas St attack 53.1% · Creighton defense 48.0%
Creighton attack 55.6% · Kansas St defense 49.1%
Ball securityAway 5.7 pts
Kansas St attack 17.7% · Creighton defense 13.7%
Creighton attack 16.1% · Kansas St defense 17.9%
Second chancesHome 7.9 pts
Kansas St attack 30.8% · Creighton defense 26.0%
Creighton attack 27.3% · Kansas St defense 30.4%
Free-throw pressureHome 13.2 pts
Kansas St attack 32.3% · Creighton defense 22.6%
Creighton attack 30.2% · 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 ↗

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 →