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2026–27 SEASON
2026–27 / Basketball scouting brief

Texas A&M
vs South Carolina

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

Jan 9, 2027 · start time unconfirmedSouth Carolina designated home · Colonial Life Arena

Texas A&M75.2Projected away score
Preseason baselineTexas A&M by 4.2Projected winning margin · 67.9 possessions / 40 min

South Carolina win estimate 42.7%

South Carolina71.0Projected home score

Projected total 146.2. Nominal 80% range for home scoring margin: -20.1 to +11.8. 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 42.7% · 31.9-point nominal range.

Model notebook
Schedule status
Start time unconfirmed

The source schedule has not confirmed a tip time; recheck before distributing a plan.

Source schedule
Roster evidence
Both teams observed

Texas A&M 75% prior minutes represented · South Carolina 55% 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-4.2 ptsObserved line is more favorable to the home side.Normal approximation: 36.9% chance the home margin clears this line.
Total edge+146.2 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 / Offensive strength / defensive concern

Protecting the possession

Texas A&M offense South Carolina defense

Texas A&M · offense14.7%34 games · rank 54/366
South Carolina · turnovers forced14.6%32 games · rank 322/366

Turnovers / possessions. Favorable percentile: 85.5 offense / 12.1 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

Finishing the possession

Texas A&M offense South Carolina defense

Texas A&M · offense32.0%34 games · rank 148/366
South Carolina · opponent rate32.1%32 games · rank 283/366

Offensive rebound rate. Favorable percentile: 59.7 offense / 22.7 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.

03 / A contrast to investigate

Keeping the game off the line

South Carolina offense Texas A&M defense

South Carolina · offense36.7%32 games · rank 126/366
Texas A&M · opponent rate35.3%34 games · rank 211/366

Free-throw attempts / FGA. Favorable percentile: 65.8 offense / 42.5 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.

04 / A contrast to investigate

Shot-making

South Carolina offense Texas A&M defense

South Carolina · offense50.3%32 games · rank 257/366
Texas A&M · opponent rate50.7%34 games · rank 172/366

Effective FG%. Favorable percentile: 29.9 offense / 53.2 defense. Higher favorable percentile is better, including for statistics where a lower raw rate is better.

On film: Which actions create efficient shots, and which coverages take those looks away? Separate rim attempts, catch-and-shoot threes and contested pull-ups on film.

02 / Both directions, all the evidence

The possession matchup.

Texas A&M with the ball.

Historical rateTexas A&MOffenseSouth CarolinaDefense
Effective FG%53.8%34 games · rank 86/36651.6%32 games · rank 215/366
Turnovers / possessions14.7%34 games · rank 54/36614.6%32 games · rank 322/366
Offensive rebound rate32.0%34 games · rank 148/36632.1%32 games · rank 283/366
Free-throw attempts / FGA37.1%34 games · rank 120/36634.0%32 games · rank 166/366
Three-point attempt share46.2%34 games35.8%32 games
Two-point FG%53.8%34 games · rank 121/36653.7%32 games · rank 288/366
Three-point FG%35.9%34 games · rank 67/36631.8%32 games · rank 67/366

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 A&M’s full dossier →

South Carolina with the ball.

Historical rateSouth CarolinaOffenseTexas A&MDefense
Effective FG%50.3%32 games · rank 257/36650.7%34 games · rank 172/366
Turnovers / possessions14.5%32 games · rank 43/36618.4%34 games · rank 90/366
Offensive rebound rate27.2%32 games · rank 302/36633.0%34 games · rank 311/366
Free-throw attempts / FGA36.7%32 games · rank 126/36635.3%34 games · rank 211/366
Three-point attempt share44.4%32 games41.8%34 games
Two-point FG%53.2%32 games · rank 151/36652.9%34 games · rank 257/366
Three-point FG%31.1%32 games · rank 323/36631.8%34 games · rank 63/366

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 South Carolina’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.

Texas A&M recorded 72.0 possessions per 40 minutes across 34 paired games; South Carolina recorded 68.0 across 32. The adjusted forecast for this matchup is 67.9. 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.

1Recorded meetings
01South Carolina record
-23.0Average South Carolina margin
Jan 24, 2026Latest shown
DateLocationScoreResultMarginEvidence
Jan 24, 2026Game 401808197South Carolina road6992L-23.0ESPN source ↗
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.

Texas A&M offense vs South Carolina defense.

Adjusted rateTexas A&MOffenseSouth CarolinaDefenseFavorable gap
Offensive rebound rate36.2%28.0%+8.2 ppfavors this offense
Free-throw attempt rate39.0%31.9%+7.2 ppfavors this offense
Effective FG%51.8%50.0%+1.8 ppfavors this offense
Turnover rate15.8%15.8%+0.0 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.

South Carolina offense vs Texas A&M defense.

Adjusted rateSouth CarolinaOffenseTexas A&MDefenseFavorable gap
Free-throw attempt rate36.9%34.0%+2.8 ppfavors this offense
Turnover rate16.4%19.0%+2.6 ppfavors this offense
Effective FG%51.1%48.7%+2.4 ppfavors this offense
Offensive rebound rate30.2%28.3%+1.9 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.

Texas A&M / 2025–26

Rashaun AgeeF · 34 games · 913 total minutes
26.9 MPG14.6 PPG25.0% est. usage58.1% TS

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

Rylan GriffenG · 32 games · 830 total minutes
25.9 MPG11.2 PPG19.9% est. usage60.9% TS

Usage sample: 32 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Rubén DominguezG · 34 games · 795 total minutes
23.4 MPG10.2 PPG17.7% est. usage61.2% TS

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

Inspect the historical shot map →

South Carolina / 2025–26

Meechie JohnsonG · 32 games · 1,007 total minutes
31.5 MPG17.2 PPG28.8% est. usage56.6% TS

Usage sample: 32 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Kobe KnoxG · 32 games · 957 total minutes
29.9 MPG10.8 PPG18.1% est. usage59.2% TS

Usage sample: 32 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Mike SharavjamtsG · 32 games · 950 total minutes
29.7 MPG10.9 PPG18.2% est. usage60.3% TS

Usage sample: 32 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.

Texas A&M

Players listed13
Roster shape · G / F / C8 / 5 / 0
Listed as same program13
New to source dataset0
Returning IDs with prior minutes13
Prior minutes represented5,207 · 74.9%
Role workloadPrior minReturningIncomingUnrepresented
Guard8 listed3,991100%
Forward5 listed1,216100%
Center0 listed

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 6,950 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 A&M

South Carolina

Players listed12
Roster shape · G / F / C6 / 6 / 0
Listed as same program10
New to source dataset2
Returning IDs with prior minutes10
Prior minutes represented3,562 · 55.0%
Role workloadPrior minReturningIncomingUnrepresented
Guard6 listed1,812100%
Forward6 listed1,750100%
Center0 listed

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 6,476 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 South Carolina
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.

Texas A&M

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

Open the recruiting evidence board →

South Carolina

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 15, 2026 · ESPN RSS

Baker-Mazara sues USC, Musselman in wake of dismissal

Former Southern California basketball player Chad Baker-Mazara is suing the university and coach Eric Musselman after his abrupt dismissal from the team in March.

Read publisher source ↗
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 ↗
Mar 28, 2026 · NCAA.com RSS

Lander upsets Nova Southeastern to advance to first-ever DII men's basketball title game

<img src="https://www.ncaa.com/_flysystem/public-s3/styles/small_16x9/public-s3/thumbnails/2026-03/lander-thumb.jpg?h=a1404d4f&itok=eYoLSmMc"> Watch the final seconds and celebration of Lander upsetting top-seeded and defending champion Nova Southeastern in the semifinals of the 2026 NCAA DII men's basketball 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: Excluded · Start time unconfirmed.

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.