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

South Dakota

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

Independent preseason modelNo.289

-9.1 adjusted net
per 100 estimated possessions

16162025–26 recorded finals
105.3Adjusted offense · 2026–27 baseline
114.4Adjusted defense · lower is better
71.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on South Dakota.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

161632 recorded games · 32 paired efficiency samples · pace 71.3Mean opponent adj. net -4.0 · 29 rated opponents
Offense

Effective FG%

51.0%32 games · higher is betterRank 217 / 366 · 41th favorable percentile
Defense

Opponent effective FG%

54.1%32 games · lower is betterRank 325 / 366 · 11th favorable percentile
Offense

Turnover rate

16.3%32 games · lower is betterRank 162 / 366 · 56th favorable percentile
Defense

Turnovers forced

16.1%32 games · higher is betterRank 230 / 366 · 37th favorable percentile
Offense

Offensive rebound rate

30.3%32 games · higher is betterRank 210 / 366 · 43th favorable percentile
Defense

Opponent offensive rebound rate

29.2%32 games · lower is betterRank 144 / 366 · 61th favorable percentile
Offense

Free-throw attempt rate

44.8%32 games · higher is betterRank 6 / 366 · 99th favorable percentile
Defense

Opponent free-throw attempt rate

30.4%32 games · lower is betterRank 82 / 366 · 78th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency110.032Points per 100 estimated possessions.
Defensive efficiency110.832Opponent points per 100 estimated possessions.
Two-point FG%51.7%32(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%55.7%32Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.2%323PM / 3PA.
Opponent three-point FG%33.6%32Opponent 3PM / 3PA.
Three-point attempt share35.6%323PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share30.6%32Opponent 3PA / FGA; a style measure.
Free-throw accuracy73.7%32FTM / FTA.
Opponent free-throw accuracy73.4%32Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share46.3%32Assists / FGM; describes recorded ball movement.
Opponent assisted FG share42.8%32Opponent 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 →
1.085
Points / source possession
73.16
Source possessions / game
20.1%
Transition share
16.8%
Assisted share
2.9%
Garbage-time share

2,341 source possession rows across 32 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

Free-throw attempt rate

44.8% · rank 6 of 366 · 32 games

Who generates contact, and how do opponents keep them off the line?

A relative strength

Opponent free-throw attempt rate

30.4% · rank 82 of 366 · 32 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Turnovers forced

16.1% · rank 230 of 366 · 32 games

Which defensive actions produce takeaways, and what shots do they concede?

A closer look

Opponent effective FG%

54.1% · rank 325 of 366 · 32 games

What coverages and lineups account for the shot quality opponents receive?

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 10 times in the selected window; South Dakota won 5. 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.70125180OldestNewest

Mar 7, 2026 · neutral vs Omaha · L 62–76 · offense 95.8 / defense 117.4

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 · 32 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
OmahaMar 7, 2026 · neutralL 627623895.8117.464.738.39.334.8
S Dakota StFeb 28, 2026 · homeW 7570161108.0100.869.449.010.110.0
OmahaFeb 26, 2026 · homeW 8972238121.598.373.356.910.915.6
Oral RobertsFeb 22, 2026 · roadL 626730085.492.272.644.319.314.7
DenverFeb 20, 2026 · roadL 7090268107.3137.965.354.816.919.2
North DakotaFeb 12, 2026 · homeL 7172283106.2107.766.848.318.032.4
S Dakota StFeb 7, 2026 · roadW 686716197.696.169.750.014.316.2
Kansas CityFeb 5, 2026 · roadW 8275337102.093.371.545.014.922.9
N Dakota StJan 31, 2026 · homeL 8489128113.4120.165.856.114.819.4
Oral RobertsJan 30, 2026 · homeW 7769300108.797.470.945.67.125.6
St Thomas (MN)Jan 24, 2026 · homeL 7890118112.4129.769.450.010.120.0
OmahaJan 22, 2026 · roadW 686423894.288.672.254.223.510.7
North DakotaJan 17, 2026 · roadL 8096283114.5137.469.956.618.623.3
Kansas CityJan 16, 2026 · homeW 9983337129.9108.976.258.213.137.5
DenverJan 10, 2026 · homeW 8272268116.6102.470.357.912.821.9
St Thomas (MN)Jan 8, 2026 · roadL 8699118117.0134.673.559.321.830.0
N Dakota StDec 31, 2025 · roadL 618412895.9132.163.648.023.628.1
Mount MartyDec 28, 2025 · homeW 8561Unrated124.889.668.159.519.144.8
Kansas StDec 20, 2025 · roadL 7610683100.6140.375.648.515.926.7
Dakota StDec 18, 2025 · homeW 8071Unrated118.3105.067.653.810.331.6
Prairie ViewDec 13, 2025 · homeW 9785336122.4107.379.251.616.441.7
WyomingDec 10, 2025 · roadL 79106132106.3142.674.350.918.825.7
N ColoradoDec 7, 2025 · roadL 8789149113.9116.667.952.517.026.7
Portland StDec 4, 2025 · homeL 717717092.5100.376.841.422.132.5
Air ForceNov 29, 2025 · neutralW 8063347116.491.668.851.720.448.6
SC StateNov 23, 2025 · homeW 8281343116.0114.670.752.525.555.3
MissouriNov 21, 2025 · roadL 681024991.8137.674.148.322.931.6
W MichiganNov 16, 2025 · homeW 8378295120.6113.368.852.34.426.8
So IndianaNov 13, 2025 · homeW 8974338106.388.383.845.621.534.2
Ozark ChrstnNov 9, 2025 · homeW 12165Unrated162.487.274.566.312.164.7
CreightonNov 6, 2025 · roadL 769247104.2126.172.945.317.845.7
Utah TechNov 4, 2025 · homeL 798124095.998.373.239.417.031.8
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
Jordan CrawfordG3231.214.42.91.454.822.9%321.1032 games20932 games
Uzziah BuntynG3130.312.12.83.554.921.6%311.5631 games11231 games
Cameron FensC3225.214.48.70.858.627.2%320.5132 games032 games
Isaac BrunsG2030.920.85.11.356.631.0%200.6820 games7420 games
Vince BuzelisG2522.77.14.01.460.816.3%250.8325 games2825 games
Ethan KizerF3215.24.01.60.251.513.6%320.4532 games10132 games
Silas BennionG1628.94.82.73.046.111.4%162.5316 games4016 games
Evan AndersonG2715.52.82.00.762.09.0%271.0027 games2127 games
Jesse McIntoshG2017.67.53.51.452.821.5%201.4720 games5720 games
Jake BrackF2513.62.22.50.457.68.3%250.8325 games025 games
Shey EberweinG1318.87.71.81.755.420.6%131.0513 games1513 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 South Dakota?

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.

19Source-listed players
15Same-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
Guard134,7894,789100%
Forward5902902100%
Center1808808100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,499 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Jordan CrawfordGSame programSouth Dakota Coyotes31.214.454.8%
Uzziah BuntynGSame programSouth Dakota Coyotes30.312.154.9%
Cameron FensCSame programSouth Dakota Coyotes25.214.458.6%
Isaac BrunsGSame programSouth Dakota Coyotes30.920.856.6%
Vince BuzelisGSame programSouth Dakota Coyotes22.77.160.8%
Ethan KizerFSame programSouth Dakota Coyotes15.24.051.5%
Silas BennionGSame programSouth Dakota Coyotes28.94.846.1%
Evan AndersonGSame programSouth Dakota Coyotes15.52.862.0%
Jesse McIntoshGSame programSouth Dakota Coyotes17.67.552.8%
Jake BrackFSame programSouth Dakota Coyotes13.62.257.6%
Shey EberweinGSame programSouth Dakota Coyotes18.87.755.4%
Trent HudgensGSame programSouth Dakota Coyotes11.93.044.0%

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 SCHEDULEJan 7, 2027 · TIME TBD

South Dakota vs Oral Roberts

78.1South Dakota
80.8Oral Roberts
Oral Roberts win estimate61.2%
Model signalLean
Projected home margin2.7
Projected total158.9
80% home-margin range-13.2 to 18.6
Estimated possessions71.7
Why the model tiltsfour-factor edge
Shot qualityAway 0.7 pts
Oral Roberts attack 50.1% · South Dakota defense 53.7%
South Dakota attack 49.6% · Oral Roberts defense 52.6%
Ball securityAway 0.4 pts
Oral Roberts attack 17.2% · South Dakota defense 15.7%
South Dakota attack 16.5% · Oral Roberts defense 15.4%
Second chancesAway 2.5 pts
Oral Roberts attack 26.3% · South Dakota defense 32.0%
South Dakota attack 28.2% · Oral Roberts defense 31.5%
Free-throw pressureAway 4.2 pts
Oral Roberts attack 33.8% · South Dakota defense 33.3%
South Dakota attack 40.5% · Oral Roberts defense 35.8%
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).

Mabee Center
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 ↗
ON THE SCHEDULEJan 9, 2027 · TIME TBD

South Dakota vs Kansas City

76.6South Dakota
76.0Kansas City
Kansas City win estimate52.5%
Model signalToss-up
Projected home margin-0.6
Projected total152.6
80% home-margin range-16.5 to 15.3
Estimated possessions71.5
Why the model tiltsfour-factor edge
Shot qualityAway 3.6 pts
Kansas City attack 47.0% · South Dakota defense 53.7%
South Dakota attack 49.6% · Kansas City defense 52.7%
Ball securityAway 3.7 pts
Kansas City attack 18.6% · South Dakota defense 15.7%
South Dakota attack 16.5% · Kansas City defense 17.2%
Second chancesHome 1.9 pts
Kansas City attack 30.2% · South Dakota defense 32.0%
South Dakota attack 28.2% · Kansas City defense 32.0%
Free-throw pressureAway 6.6 pts
Kansas City attack 31.8% · South Dakota defense 33.3%
South Dakota attack 40.5% · Kansas City defense 35.4%
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).

Swinney Center
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 ↗
ON THE SCHEDULEJan 16, 2027 · TIME TBD

S Dakota St vs South Dakota

80.5S Dakota St
77.1South Dakota
South Dakota win estimate44.8%
Model signalToss-up
Projected home margin-3.4
Projected total157.6
80% home-margin range-19.3 to 12.5
Estimated possessions71.3
Why the model tiltsfour-factor edge
Shot qualityAway 0.0 pts
South Dakota attack 49.6% · S Dakota St defense 51.2%
S Dakota St attack 52.1% · South Dakota defense 53.7%
Ball securityHome 0.2 pts
South Dakota attack 16.5% · S Dakota St defense 15.3%
S Dakota St attack 17.1% · South Dakota defense 15.7%
Second chancesHome 5.3 pts
South Dakota attack 28.2% · S Dakota St defense 25.6%
S Dakota St attack 29.3% · South Dakota defense 32.0%
Free-throw pressureHome 11.5 pts
South Dakota attack 40.5% · S Dakota St defense 31.1%
S Dakota St attack 31.2% · South Dakota defense 33.3%
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).

Sanford Coyote Sports Center
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 →