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2026–27 SEASON
2026–27 / Basketball scouting brief

Georgetown
vs Texas

The projected game, the historical pressure points and the personnel questions to take into preparation. Generated from published statistics and reviewed announcements.

Nov 26, 2:30 PM ETNeutral floor · Jenny Craig Pavilion

Georgetown70.7Projected away score
Preseason baselineTexas by 8.0Projected winning margin · 67.8 possessions / 40 min

Texas win estimate 73.8%

Texas78.7Projected home score

Projected total 149.4. Nominal 80% range for home scoring margin: -8.0 to +23.9. Either team winning falls within that range.

The model uses historical opponent-adjusted efficiency and tempo. It has no current roster or injury inputs. Schedule details are partial and may change. Model edition: Sep 12, 2026.

Checking the latest registered D1 forecast for this game…

Pre-tip readiness / Four checks

Know what is settled before you scout.

Updated with this brief edition
Forecast signal
Model baseline

Home win estimate 73.8% · 31.8-point nominal range.

Model notebook
Schedule status
Neutral floor

Jenny Craig Pavilion

Source schedule
Roster evidence
Both teams observed

Georgetown 100% prior minutes represented · Texas 70% prior minutes represented

Roster evidence
Market evidence
No licensed quote

No qualifying bookmaker observation is published; an edge cannot be reported.

Record a manual check

These checks describe source coverage and model state. They do not convert a roster listing into eligibility, a schedule into availability, or a market quote into a recommendation.

Reader tool / Manual quote check

Compare a line you observed.

Browser only · never published · checking model edition

Enter a home spread, game total or both sides of a moneyline from a source you are reviewing. Results use the current forecast when available and stay in this browser; they are not a verified market observation, recommendation or ledger record.

Up to 20 notes · never uploaded
Spread edge+8.0 ptsModel is more favorable to the home side.Normal approximation: 73.9% chance the home margin clears this line.
Total edge+149.3 ptsModel total is above the observed number.
Moneyline probability edgeEnter both moneylines to calculate a no-vig market probability.
Moneyline expected returnEnter both valid prices to compare home and away returns.

Convention: spread edge = model home margin + home spread; total edge = model total − observed total. This arithmetic does not account for vig, pushes, limits, timing or player availability. The spread-cover probability is a normal approximation from the published nominal 80% margin interval; it is not a calibrated betting probability. Moneyline edge uses both sides to remove two-way vig. Expected return is a hypothetical arithmetic output from the model probability and quoted price; it is not a recommendation or a realized result.

01 / Prior-season evidence → Film questions

Where the styles meet.

2025–26 observations

These are historical questions, not forecast adjustments. Each direction highlights up to two Four Factors with the largest difference in favorable percentile between one offense and the opposing defense. Rates came against different schedules and personnel; their difference is not an expected matchup outcome.

01 / A contrast to investigate

Protecting the possession

Georgetown offense Texas defense

Georgetown · offense15.8%34 games · rank 125/366
Texas · turnovers forced13.1%36 games · rank 355/366

Turnovers / possessions. Favorable percentile: 66.0 offense / 3.0 defense. Higher favorable percentile is better, including for statistics where a lower raw rate is better.

On film: Do the turnovers come from ball pressure, passing-lane help or unforced mistakes? Identify the ball handlers and distinguish live-ball losses from dead-ball turnovers.

02 / A contrast to investigate

Keeping the game off the line

Georgetown offense Texas defense

Georgetown · offense37.3%34 games · rank 111/366
Texas · opponent rate39.7%36 games · rank 309/366

Free-throw attempts / FGA. Favorable percentile: 69.9 offense / 15.6 defense. Higher favorable percentile is better, including for statistics where a lower raw rate is better.

On film: Which actions draw shooting fouls, and which defenders can contain them without fouling? Check the personnel and foul context before assigning a coverage.

03 / A contrast to investigate

Finishing the possession

Texas offense Georgetown defense

Texas · offense36.0%36 games · rank 35/366
Georgetown · opponent rate31.5%34 games · rank 260/366

Offensive rebound rate. Favorable percentile: 90.7 offense / 29.0 defense. Higher favorable percentile is better, including for statistics where a lower raw rate is better.

On film: Who earns the second-chance possessions, and who must take the first box-out assignment? Check whether extra crashers leave transition chances at the other end.

04 / A contrast to investigate

Keeping the game off the line

Texas offense Georgetown defense

Texas · offense43.5%36 games · rank 12/366
Georgetown · opponent rate33.9%34 games · rank 164/366

Free-throw attempts / FGA. Favorable percentile: 97.0 offense / 55.3 defense. Higher favorable percentile is better, including for statistics where a lower raw rate is better.

On film: Which actions draw shooting fouls, and which defenders can contain them without fouling? Check the personnel and foul context before assigning a coverage.

02 / Both directions, all the evidence

The possession matchup.

Georgetown with the ball.

Historical rateGeorgetownOffenseTexasDefense
Effective FG%49.6%34 games · rank 285/36650.5%36 games · rank 163/366
Turnovers / possessions15.8%34 games · rank 125/36613.1%36 games · rank 355/366
Offensive rebound rate32.5%34 games · rank 130/36626.5%36 games · rank 37/366
Free-throw attempts / FGA37.3%34 games · rank 111/36639.7%36 games · rank 309/366
Three-point attempt share35.2%34 games33.0%36 games
Two-point FG%50.7%34 games · rank 258/36649.8%36 games · rank 109/366
Three-point FG%31.8%34 games · rank 298/36634.7%36 games · rank 254/366

Defense reports opponent rates, except turnovers forced. Each statistic pools its own valid numerators and denominators; game counts can differ. Three-point attempt share describes style and has no favorable rank.

Open Georgetown’s full dossier →

Texas with the ball.

Historical rateTexasOffenseGeorgetownDefense
Effective FG%54.7%36 games · rank 56/36649.9%34 games · rank 128/366
Turnovers / possessions15.5%36 games · rank 107/36616.2%34 games · rank 226/366
Offensive rebound rate36.0%36 games · rank 35/36631.5%34 games · rank 260/366
Free-throw attempts / FGA43.5%36 games · rank 12/36633.9%34 games · rank 164/366
Three-point attempt share35.7%36 games41.2%34 games
Two-point FG%55.6%36 games · rank 57/36650.0%34 games · rank 118/366
Three-point FG%35.5%36 games · rank 94/36633.3%34 games · rank 152/366

Defense reports opponent rates, except turnovers forced. Each statistic pools its own valid numerators and denominators; game counts can differ. Three-point attempt share describes style and has no favorable rank.

Open Texas’s full dossier →
Stat definitions and denominators

Effective FG%: (FGM + 0.5 × 3PM) / FGA.

Turnovers / possessions: Turnovers / estimated possessions.

Offensive rebound rate: ORB / (ORB + opponent DRB).

Free-throw attempts / FGA: FTA / FGA; displayed per 100 field-goal attempts.

Rates are pooled from the source records, not averages of game percentages. Rankings compare the 366 programs in the model field. Some source games include opponents outside Division I.

The pace question.

Georgetown recorded 67.0 possessions per 40 minutes across 34 paired games; Texas recorded 68.7 across 36. The adjusted forecast for this matchup is 67.8. Identify which team’s personnel can dictate the first pass, early offense and transition balance; the historical tempo gap alone does not identify a tactical winner.

Five-v-five archive / source-native handoff

See which lineups actually shared the floor.

The matchup-stint archive keeps each publisher-native five-player group beside the opposing five, with possessions, repeat games and scoring margin. Search these teams to turn the factor question into a film assignment; the source IDs remain separate from the forecast and recruiting identities.

03 / Prior meetings / exact source IDs

What happened when these programs met?

2025–26 source schedule

This is a descriptive look at completed meetings where the home and away source team IDs matched exactly in the scouting archive. It is context for preparation, not a head-to-head forecast; a missing row means this source edition did not retain a qualifying meeting.

No completed exact-ID meetings are available in this source edition.

04 / Schedule-adjusted lens

What survives a harder schedule?

These four-factor role estimates adjust for opponent and season recency using the same team-and-venue design as the efficiency model. A positive gap means the offense’s favorable rate is stronger than the opposing defense’s corresponding rate. This is a descriptive lens for preparation, not a new forecast or a claim about the next rotation.

Georgetown offense vs Texas defense.

Adjusted rateGeorgetownOffenseTexasDefenseFavorable gap
Offensive rebound rate32.2%26.7%+5.5 ppfavors this offense
Free-throw attempt rate34.5%37.6%-3.1 ppfavors this defense
Effective FG%50.7%48.8%+2.0 ppfavors this offense
Turnover rate16.6%16.5%-0.1 ppfavors this defense

For turnover rate, lower offensive turnover rate and higher forced-turnover rate are favorable. The other rows favor more efficient offense and lower opponent rates.

Texas offense vs Georgetown defense.

Adjusted rateTexasOffenseGeorgetownDefenseFavorable gap
Free-throw attempt rate38.6%33.2%+5.4 ppfavors this offense
Effective FG%54.5%50.3%+4.2 ppfavors this offense
Offensive rebound rate32.3%29.7%+2.7 ppfavors this offense
Turnover rate15.2%17.3%+2.0 ppfavors this offense

For turnover rate, lower offensive turnover rate and higher forced-turnover rate are favorable. The other rows favor more efficient offense and lower opponent rates.

05 / Historical workload, then roster verification

Who carried the old possessions?

The three largest recorded minute totals on each 2025–26 team, among players with at least 200 minutes. These are historical contributors, not a projected 2026–27 rotation. Follow the player history and verify availability before assigning matchups.

Georgetown / 2025–26

Malik MackG · 34 games · 1,096 total minutes
32.2 MPG13.6 PPG24.7% est. usage50.2% TS

Usage sample: 34 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Caleb WilliamsF · 33 games · 989 total minutes
30.0 MPG8.8 PPG14.7% est. usage56.8% TS

Usage sample: 33 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

KJ LewisG · 28 games · 840 total minutes
30.0 MPG14.9 PPG28.3% est. usage51.5% TS

Usage sample: 28 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Inspect the historical shot map →

Texas / 2025–26

Dailyn SwainG · 36 games · 1,183 total minutes
32.9 MPG17.3 PPG24.8% est. usage63.6% TS

Usage sample: 36 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Jordan PopeG · 36 games · 1,045 total minutes
29.0 MPG13.1 PPG21.9% est. usage55.5% TS

Usage sample: 36 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Tramon MarkG · 36 games · 1,019 total minutes
28.3 MPG14.0 PPG23.5% est. usage57.1% TS

Usage sample: 36 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Inspect the historical shot map →
06 / Source roster observation

How much old workload is represented?

2026–27 listing · unconfirmed

This is an exact-ID comparison between the published 2026–27 roster listing and recorded 2025–26 minutes. It describes what the source currently represents; it does not establish eligibility, availability, a returning decision or a projected rotation, and it does not change the forecast.

Georgetown

Players listed17
Roster shape · G / F / C10 / 4 / 3
Listed as same program15
New to source dataset2
Returning IDs with prior minutes15
Prior minutes represented6,875 · 100.0%
Role workloadPrior minReturningIncomingUnrepresented
Guard10 listed3,543100%
Forward4 listed2,108100%
Center3 listed1,224100%

Roster shape uses only the source-reported position labels on this listing; it is descriptive and does not identify a viable lineup or positional matchup.

Role rows use prior production attached to the currently listed source records. They are a narrower sample than the team denominator above; a missing or unclassified listing remains unknown.

The percentage uses 6,875 recorded 2025–26 minutes for this program as its denominator. A missing listing is not evidence of a departure; a new entry is not proof of a freshman or transfer.

Review roster observations and announcements →Build a role shortlist for Georgetown

Texas

Players listed13
Roster shape · G / F / C5 / 6 / 2
Listed as same program11
New to source dataset2
Returning IDs with prior minutes11
Prior minutes represented5,048 · 69.6%
Role workloadPrior minReturningIncomingUnrepresented
Guard5 listed2,491100%
Forward6 listed1,621100%
Center2 listed936100%

Roster shape uses only the source-reported position labels on this listing; it is descriptive and does not identify a viable lineup or positional matchup.

Role rows use prior production attached to the currently listed source records. They are a narrower sample than the team denominator above; a missing or unclassified listing remains unknown.

The percentage uses 7,250 recorded 2025–26 minutes for this program as its denominator. A missing listing is not evidence of a departure; a new entry is not proof of a freshman or transfer.

Review roster observations and announcements →Build a role shortlist for Texas
07 / Dated school evidence

What changed after those box scores?

Announcement board reviewed Sep 8, 2026

This board covers a limited set of schools. An announced addition does not by itself prove game-day availability. Later statements remain in the player’s timeline; a missing entry is not evidence that a player left or that a roster stayed unchanged.

Georgetown

This program is outside the reviewed school-announcement coverage in this edition. Check its official roster and availability reports.

Open the recruiting evidence board →

Texas

This program is outside the reviewed school-announcement coverage in this edition. Check its official roster and availability reports.

Open the recruiting evidence board →
08 / Publisher context

What the source wire is saying.

Open the full source wire →

These dated headlines are retained from permitted ESPN and NCAA.com RSS feeds and are shown as reporting context. They do not alter the forecast or establish an injury, eligibility, transfer or availability decision.

Sep 11, 2026 · ESPN RSS

Biggest remaining question for every ranked team

Eligibility questions abound for the top 25 teams, which include new faces Texas Tech and BYU this month.

Read publisher source ↗
Jul 14, 2026 · NCAA.com RSS

Arthur Kaluma career March Madness highlights

<img src="https://www.ncaa.com/_flysystem/public-s3/styles/small_16x9/public-s3/thumbnails/2026-07/kaluma-thumb.jpg?h=c673cd1c&itok=TbOtABk8"> Watch career March Madness highlights from Lakers Summer Leaguer Arthur Kaluma from his time with both Creighton (2022-23) and Texas (2025) in the NCAA tournament.

Read publisher source ↗
09 / Compare only matching records

The forecast and market trail.

Published ledger edition Sep 15, 2026. Only a record matching this game’s model, participants, start and prediction can appear here. Quotes are last qualifying observations, not verified closing lines or a live price feed.

Forecast registered . Status: Scheduled.

No qualifying timestamped market comparison is available for this forecast in this ledger edition. A model-versus-market edge cannot be reported.

For spreads, a positive difference is model home margin plus the observed home spread; for totals it is model total minus the line; for moneylines it is model home probability minus the two-way normalized market probability. These are model disagreements, not placed bets or profit estimates.

Inspect this game’s complete forecast and source history →

Retained reading snapshots of this brief →

Your preparation / Private browser notes

Take it into the film room.

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How to read this brief.

The preseason model’s independent 2025–26 evaluation covered 5,734 games, with 10.26-point margin MAE and 79.1% empirical coverage for nominal 80% ranges. The weekly model experiment is separate from these forecasts.

Historical scouting and player statistics: Sep 12, 2026 source edition. Model: basketball-efficiency-v2-b7df2377c580. Training cutoff: 2026-09-12T12:53:26.061472Z. Model notebook and source receipts →

Bulk observations: SportsDataverse, whose publisher labels its datasets CC BY 4.0. Independent calculations and text templates: Silvermine. School announcements are linked individually. The film questions are hypotheses to verify, not measured descriptions of a current lineup.