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2026–27 SEASON
2026–27 / Basketball scouting brief

South Carolina
vs Tennessee

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

Feb 23, 2027 · start time unconfirmedTennessee designated home · Food City Center

South Carolina60.4Projected away score
Preseason baselineTennessee by 15.8Projected winning margin · 64.9 possessions / 40 min

Tennessee win estimate 86.9%

Tennessee76.1Projected home score

Projected total 136.5. Nominal 80% range for home scoring margin: -0.1 to +31.7. 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 86.9% · 31.8-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

South Carolina 55% prior minutes represented · Tennessee 56% 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+15.8 ptsModel is more favorable to the home side.Normal approximation: 89.8% chance the home margin clears this line.
Total edge+136.5 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 concern / defensive strength

Finishing the possession

South Carolina offense Tennessee defense

South Carolina · offense27.2%32 games · rank 302/366
Tennessee · opponent rate27.8%37 games · rank 72/366

Offensive rebound rate. Favorable percentile: 17.5 offense / 80.5 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.

02 / A contrast to investigate

Shot-making

South Carolina offense Tennessee defense

South Carolina · offense50.3%32 games · rank 257/366
Tennessee · opponent rate47.8%37 games · rank 45/366

Effective FG%. Favorable percentile: 29.9 offense / 87.9 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.

03 / Offensive strength / defensive concern

Finishing the possession

Tennessee offense South Carolina defense

Tennessee · offense44.7%37 games · rank 1/366
South Carolina · opponent rate32.1%32 games · rank 283/366

Offensive rebound rate. Favorable percentile: 100.0 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.

04 / A contrast to investigate

Protecting the possession

Tennessee offense South Carolina defense

Tennessee · offense17.3%37 games · rank 238/366
South Carolina · turnovers forced14.6%32 games · rank 322/366

Turnovers / possessions. Favorable percentile: 35.1 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 / Both directions, all the evidence

The possession matchup.

South Carolina with the ball.

Historical rateSouth CarolinaOffenseTennesseeDefense
Effective FG%50.3%32 games · rank 257/36647.8%37 games · rank 45/366
Turnovers / possessions14.5%32 games · rank 43/36616.2%37 games · rank 228/366
Offensive rebound rate27.2%32 games · rank 302/36627.8%37 games · rank 72/366
Free-throw attempts / FGA36.7%32 games · rank 126/36636.3%37 games · rank 237/366
Three-point attempt share44.4%32 games44.8%37 games
Two-point FG%53.2%32 games · rank 151/36649.4%37 games · rank 91/366
Three-point FG%31.1%32 games · rank 323/36630.5%37 games · rank 27/366

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 →

Tennessee with the ball.

Historical rateTennesseeOffenseSouth CarolinaDefense
Effective FG%51.4%37 games · rank 201/36651.6%32 games · rank 215/366
Turnovers / possessions17.3%37 games · rank 238/36614.6%32 games · rank 322/366
Offensive rebound rate44.7%37 games · rank 1/36632.1%32 games · rank 283/366
Free-throw attempts / FGA37.4%37 games · rank 105/36634.0%32 games · rank 166/366
Three-point attempt share32.1%37 games35.8%32 games
Two-point FG%52.0%37 games · rank 202/36653.7%32 games · rank 288/366
Three-point FG%33.4%37 games · rank 208/36631.8%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 Tennessee’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.

South Carolina recorded 68.0 possessions per 40 minutes across 32 paired games; Tennessee recorded 67.4 across 37. The adjusted forecast for this matchup is 64.9. 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
10Tennessee record
+19.0Average Tennessee margin
Mar 3, 2026Latest shown
DateLocationScoreResultMarginEvidence
Mar 3, 2026Game 401808278Tennessee road7859W+19.0ESPN 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.

South Carolina offense vs Tennessee defense.

Adjusted rateSouth CarolinaOffenseTennesseeDefenseFavorable gap
Effective FG%51.1%45.1%+6.1 ppfavors this offense
Free-throw attempt rate36.9%33.1%+3.8 ppfavors this offense
Offensive rebound rate30.2%26.5%+3.7 ppfavors this offense
Turnover rate16.4%18.2%+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.

Tennessee offense vs South Carolina defense.

Adjusted rateTennesseeOffenseSouth CarolinaDefenseFavorable gap
Offensive rebound rate38.9%28.0%+10.9 ppfavors this offense
Free-throw attempt rate36.6%31.9%+4.8 ppfavors this offense
Effective FG%53.3%50.0%+3.3 ppfavors this offense
Turnover rate16.5%15.8%-0.7 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.

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.

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 →

Tennessee / 2025–26

Ja'Kobi GillespieG · 37 games · 1,286 total minutes
34.8 MPG18.4 PPG26.9% est. usage53.8% TS

Usage sample: 37 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Nate AmentF · 35 games · 1,038 total minutes
29.7 MPG16.7 PPG29.1% est. usage53.4% TS

Usage sample: 35 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Felix OkparaF · 35 games · 943 total minutes
26.9 MPG8.0 PPG13.4% est. usage61.7% TS

Usage sample: 35 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.

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

Tennessee

Players listed13
Roster shape · G / F / C9 / 4 / 0
Listed as same program13
New to source dataset0
Returning IDs with prior minutes13
Prior minutes represented4,208 · 56.3%
Role workloadPrior minReturningIncomingUnrepresented
Guard9 listed2,242100%
Forward4 listed1,966100%
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 7,475 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 Tennessee
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.

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 →

Tennessee

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 2, 2026 · ESPN RSS

Vols' Scott to have knee surgery, out 6 months

Tennessee freshman Ralph Scott is set to have surgery on his left knee and will miss at least six months, according to Vols coach Rick Barnes.

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 ↗
Mar 28, 2026 · NCAA.com RSS

Lander stuns No. 1 Nova Southeastern, advances to DII men's basketball championship game

<img src="https://www.ncaa.com/_flysystem/public-s3/styles/small_16x9/public-s3/images/2026-03/Lander-upsets-Nova-Southeastern-basketball.jpg?h=8684bcdb&itok=jAO7TXjT"> The DII men's basketball defending champions and No. 1-seeded Nova Southeastern were upset in the national semifinals by No. 5 Lander. The Bearcats are heading to their first-ever national championship game in program history after silencing the potent Shark attack.

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.