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2026–27 SEASON
2026–27 / Basketball scouting brief

Furman
vs Tennessee Tech

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

Jan 23, 2027 · start time unconfirmedTennessee Tech designated home · Hooper Eblen Center

Furman75.4Projected away score
Preseason baselineFurman by 5.6Projected winning margin · 67.3 possessions / 40 min

Tennessee Tech win estimate 38.9%

Tennessee Tech69.8Projected home score

Projected total 145.2. Nominal 80% range for home scoring margin: -21.6 to +10.3. 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 38.9% · 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

Furman 100% prior minutes represented · Tennessee Tech 100% 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-5.6 ptsObserved line is more favorable to the home side.Normal approximation: 32.5% chance the home margin clears this line.
Total edge+145.2 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 / A contrast to investigate

Keeping the game off the line

Furman offense Tennessee Tech defense

Furman · offense32.3%35 games · rank 250/366
Tennessee Tech · opponent rate30.0%31 games · rank 70/366

Free-throw attempts / FGA. Favorable percentile: 31.8 offense / 81.1 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 / A contrast to investigate

Shot-making

Furman offense Tennessee Tech defense

Furman · offense55.2%35 games · rank 39/366
Tennessee Tech · opponent rate50.3%31 games · rank 146/366

Effective FG%. Favorable percentile: 89.6 offense / 60.3 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 / A contrast to investigate

Shot-making

Tennessee Tech offense Furman defense

Tennessee Tech · offense50.3%31 games · rank 260/366
Furman · opponent rate49.5%35 games · rank 99/366

Effective FG%. Favorable percentile: 29.0 offense / 73.2 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.

04 / A contrast to investigate

Keeping the game off the line

Tennessee Tech offense Furman defense

Tennessee Tech · offense35.9%31 games · rank 153/366
Furman · opponent rate28.3%35 games · rank 45/366

Free-throw attempts / FGA. Favorable percentile: 58.4 offense / 87.9 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.

Furman with the ball.

Historical rateFurmanOffenseTennessee TechDefense
Effective FG%55.2%35 games · rank 39/36650.3%31 games · rank 146/366
Turnovers / possessions17.7%35 games · rank 262/36615.9%31 games · rank 246/366
Offensive rebound rate32.2%35 games · rank 140/36629.9%31 games · rank 179/366
Free-throw attempts / FGA32.3%35 games · rank 250/36630.0%31 games · rank 70/366
Three-point attempt share47.1%35 games36.6%31 games
Two-point FG%60.6%35 games · rank 7/36649.4%31 games · rank 90/366
Three-point FG%32.8%35 games · rank 251/36634.5%31 games · rank 243/366

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 Furman’s full dossier →

Tennessee Tech with the ball.

Historical rateTennessee TechOffenseFurmanDefense
Effective FG%50.3%31 games · rank 260/36649.5%35 games · rank 99/366
Turnovers / possessions19.1%31 games · rank 330/36614.3%35 games · rank 333/366
Offensive rebound rate32.1%31 games · rank 144/36627.1%35 games · rank 50/366
Free-throw attempts / FGA35.9%31 games · rank 153/36628.3%35 games · rank 45/366
Three-point attempt share37.7%31 games42.2%35 games
Two-point FG%52.1%31 games · rank 200/36650.5%35 games · rank 150/366
Three-point FG%31.5%31 games · rank 314/36632.0%35 games · rank 78/366

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 Tech’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.

Furman recorded 66.7 possessions per 40 minutes across 35 paired games; Tennessee Tech recorded 69.6 across 31. The adjusted forecast for this matchup is 67.3. 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.

Furman offense vs Tennessee Tech defense.

Adjusted rateFurmanOffenseTennessee TechDefenseFavorable gap
Free-throw attempt rate33.7%28.8%+4.9 ppfavors this offense
Turnover rate17.5%15.5%-2.0 ppfavors this defense
Effective FG%53.3%52.5%+0.8 ppfavors this offense
Offensive rebound rate29.7%30.4%-0.8 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.

Tennessee Tech offense vs Furman defense.

Adjusted rateTennessee TechOffenseFurmanDefenseFavorable gap
Offensive rebound rate26.6%29.0%-2.4 ppfavors this defense
Turnover rate17.9%15.7%-2.2 ppfavors this defense
Free-throw attempt rate32.1%30.7%+1.5 ppfavors this offense
Effective FG%49.9%50.5%-0.6 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.

Furman / 2025–26

Alex WilkinsG · 35 games · 1,040 total minutes
29.7 MPG17.8 PPG33.9% est. usage57.0% TS

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

Charles JohnstonF · 35 games · 990 total minutes
28.3 MPG9.8 PPG18.2% est. usage57.7% TS

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

Ben Vander WalF · 34 games · 949 total minutes
27.9 MPG7.2 PPG12.8% est. usage61.7% TS

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

Inspect the historical shot map →

Tennessee Tech / 2025–26

Ty OwensG · 31 games · 845 total minutes
27.3 MPG6.8 PPG16.7% est. usage50.0% TS

Usage sample: 31 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Mekhi CameronG · 31 games · 828 total minutes
26.7 MPG11.2 PPG21.9% est. usage54.1% TS

Usage sample: 31 games. An opportunity estimate from matched minutes and boxes, not measured on-court possessions.

Brandon MuntuG · 31 games · 770 total minutes
24.8 MPG9.1 PPG17.4% est. usage55.6% TS

Usage sample: 31 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.

Furman

Players listed15
Roster shape · G / F / C8 / 7 / 0
Listed as same program14
New to source dataset1
Returning IDs with prior minutes14
Prior minutes represented7,075 · 100.0%
Role workloadPrior minReturningIncomingUnrepresented
Guard8 listed4,195100%
Forward7 listed2,880100%
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 7,075 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 Furman

Tennessee Tech

Players listed16
Roster shape · G / F / C12 / 4 / 0
Listed as same program15
New to source dataset1
Returning IDs with prior minutes15
Prior minutes represented6,200 · 100.0%
Role workloadPrior minReturningIncomingUnrepresented
Guard12 listed4,792100%
Forward4 listed1,408100%
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 6,200 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 Tech
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.

Furman

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 Tech

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 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 ↗
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.