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

Montana

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

Independent preseason modelNo.178

-1.2 adjusted net
per 100 estimated possessions

18162025–26 recorded finals
107.6Adjusted offense · 2026–27 baseline
108.8Adjusted defense · lower is better
68.9Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Montana.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

181634 recorded games · 34 paired efficiency samples · pace 71.2Mean opponent adj. net -1.4 · 30 rated opponents
Offense

Effective FG%

56.4%34 games · higher is betterRank 18 / 366 · 95th favorable percentile
Defense

Opponent effective FG%

49.1%34 games · lower is betterRank 83 / 366 · 78th favorable percentile
Offense

Turnover rate

19.2%34 games · lower is betterRank 336 / 366 · 8th favorable percentile
Defense

Turnovers forced

14.5%34 games · higher is betterRank 324 / 366 · 12th favorable percentile
Offense

Offensive rebound rate

22.0%34 games · higher is betterRank 359 / 366 · 2th favorable percentile
Defense

Opponent offensive rebound rate

27.3%34 games · lower is betterRank 59 / 366 · 84th favorable percentile
Offense

Free-throw attempt rate

37.2%34 games · higher is betterRank 115 / 366 · 69th favorable percentile
Defense

Opponent free-throw attempt rate

31.7%34 games · lower is betterRank 107 / 366 · 71th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency108.634Points per 100 estimated possessions.
Defensive efficiency104.834Opponent points per 100 estimated possessions.
Two-point FG%58.4%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%50.1%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.8%343PM / 3PA.
Opponent three-point FG%31.7%34Opponent 3PM / 3PA.
Three-point attempt share41.8%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share38.5%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy77.0%34FTM / FTA.
Opponent free-throw accuracy70.8%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share55.4%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share48.1%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 →
1.079
Points / source possession
71.65
Source possessions / game
20.3%
Transition share
20.7%
Assisted share
3.5%
Garbage-time share

2,436 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

Effective FG%

56.4% · rank 18 of 366 · 34 games

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

A relative strength

Opponent offensive rebound rate

27.3% · rank 59 of 366 · 34 games

Which matchups demand an extra box-out assignment?

A closer look

Turnover rate

19.2% · rank 336 of 366 · 34 games

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

A closer look

Offensive rebound rate

22.0% · rank 359 of 366 · 34 games

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

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 8 times in the selected window; Montana won 4. 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.40105170OldestNewest

Mar 12, 2026 · neutral vs Idaho · L 66–77 · offense 91.6 / defense 106.8

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%
IdahoMar 12, 2026 · neutralL 667721491.6106.872.146.319.49.4
Portland StMar 11, 2026 · neutralW 7572170101.997.873.662.824.412.0
N ColoradoMar 9, 2026 · neutralW 9589149127.4119.374.660.312.123.3
N ColoradoMar 3, 2026 · roadL 578514977.8116.073.342.517.710.3
Portland StFeb 28, 2026 · homeW 7468170103.495.071.657.519.619.4
Sacramento StFeb 27, 2026 · homeW 8173314112.5101.472.061.318.013.8
Weber StFeb 22, 2026 · roadL 7292212106.6136.267.551.814.821.9
Idaho StFeb 20, 2026 · roadL 6973239101.8107.767.855.220.717.9
Montana StFeb 15, 2026 · homeL 7182163107.5124.266.051.915.120.0
IdahoFeb 7, 2026 · homeW 7368214101.294.372.158.720.816.7
E WashingtonFeb 6, 2026 · homeL 7482199104.6115.970.756.524.026.7
Sacramento StFeb 1, 2026 · roadL 7986314109.4119.172.254.322.235.3
Portland StJan 30, 2026 · roadW 646017093.387.568.648.924.820.0
Idaho StJan 24, 2026 · homeW 6960239102.789.367.253.516.416.1
Weber StJan 23, 2026 · homeW 8165212125.3100.664.673.023.225.0
N ArizonaJan 20, 2026 · roadW 9872308159.1116.961.680.211.433.3
Montana StJan 18, 2026 · roadL 677616394.3107.071.150.921.110.3
E WashingtonJan 10, 2026 · roadL 6566199102.5104.063.448.118.930.0
IdahoJan 9, 2026 · roadW 7973214112.7104.170.157.718.514.3
N ColoradoJan 3, 2026 · homeW 8879149115.0103.376.551.014.416.1
N ArizonaJan 1, 2026 · homeW 7864308119.397.965.463.519.920.0
LouisvilleDec 20, 2025 · roadL 54943272.4126.074.638.725.510.5
Montana TechDec 18, 2025 · homeL 7582Unrated110.3120.668.050.014.725.0
SalishKootenaiDec 11, 2025 · homeW 10246Unrated137.462.074.379.516.210.0
North DakotaDec 7, 2025 · roadW 7975283114.5108.769.064.024.633.3
N Dakota StDec 4, 2025 · homeL 7281128103.1116.069.855.220.125.8
OaklandNov 26, 2025 · homeL 8795167112.1122.477.658.719.330.6
LamarNov 23, 2025 · homeL 636823286.993.872.540.422.126.8
Texas A&MNov 19, 2025 · roadL 818631115.8122.970.071.220.011.5
Cal PolyNov 15, 2025 · homeW 9082246111.3101.480.952.314.822.5
UNLVNov 12, 2025 · roadW 10293111126.2115.180.860.016.133.3
StanfordNov 8, 2025 · roadL 68917791.2122.074.651.026.817.9
Ottawa (AZ)Nov 6, 2025 · homeW 7339Unrated101.554.271.951.023.633.3
NW IndianNov 4, 2025 · homeW 10641Unrated144.255.873.559.612.253.1
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
Money WilliamsG3431.220.64.34.761.634.2%341.1534 games14434 games
Tyler ThompsonG3329.38.44.01.360.614.3%331.0833 games17233 games
Te'Jon SawyerF3427.911.45.41.164.519.5%340.6634 games9534 games
Kenyon AguinoF3423.68.44.21.561.017.6%341.2534 games3334 games
Tyler IsaakG3422.46.12.82.357.114.2%342.4434 games8434 games
Brooklyn HicksG3422.19.03.80.957.720.5%340.8634 games11734 games
Grant KepleyG2821.46.22.72.851.519.5%281.4928 games5028 games
Trae TaylorF298.32.21.60.162.713.6%290.1829 games029 games
Connor DickG2310.42.71.80.354.614.9%230.5723 games1723 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 Montana?

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.

14Source-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
Guard94,6264,626100%
Forward52,1732,173100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,799 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Money WilliamsGSame programMontana Grizzlies31.220.661.6%
Tyler ThompsonGSame programMontana Grizzlies29.38.460.6%
Te'Jon SawyerFSame programMontana Grizzlies27.911.464.5%
Kenyon AguinoFSame programMontana Grizzlies23.68.461.0%
Tyler IsaakGSame programMontana Grizzlies22.46.157.1%
Brooklyn HicksGSame programMontana Grizzlies22.19.057.7%
Grant KepleyGSame programMontana Grizzlies21.46.251.5%
Trae TaylorFSame programMontana Grizzlies8.32.262.7%
Connor DickGSame programMontana Grizzlies10.42.754.6%
Chase HendersonGSame programMontana Grizzlies7.32.555.5%
Amari JedkinsFSame programMontana Grizzlies5.31.352.8%
Courtney Anderson Jr.GSame programMontana Grizzlies11.35.772.6%

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 16, 2026 · TIME TBD

Montana vs Kansas St

71.1Montana
82.0Kansas St
Kansas St win estimate79.4%
Model signalStrong lean
Projected home margin10.9
Projected total153.1
80% home-margin range-5.1 to 26.8
Estimated possessions71.5
Why the model tiltsfour-factor edge
Shot qualityAway 3.2 pts
Kansas St attack 53.1% · Montana defense 51.1%
Montana attack 54.4% · Kansas St defense 49.1%
Ball securityAway 2.6 pts
Kansas St attack 17.7% · Montana defense 15.2%
Montana attack 17.8% · Kansas St defense 17.9%
Second chancesHome 8.3 pts
Kansas St attack 30.8% · Montana defense 28.8%
Montana attack 24.1% · Kansas St defense 30.4%
Free-throw pressureAway 2.6 pts
Kansas St attack 32.3% · Montana defense 34.4%
Montana attack 34.1% · 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 ↗

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 →