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Virginia Tech

In progress. College basketball is still being built and is not in the navigation. The ratings are ours and are shown with the date they were fitted; they are not graded in public.

ACC · 23-13 · AdjEM +15.3, 21 of 359 nationally.

2021-22 seasonthrough ratings as of 2022-04-0421 weekly snapshots

Adjusted ratingas of 2022-04-04

Every team →
AdjEM
+15.321 of 359
AdjO
110.615 of 359
AdjD
95.355 of 359
AdjT
65.7335 of 359

Virginia Tech went from +9.9 (#2) on 2021-11-15 to +15.3 (#21) on 2022-04-04, finishing at its peak.

AdjEM in each weekly snapshot this season; the dashed line is an average D1 team (0).

2021-11-152022-04-04

Four factorsraw season rates · 36 complete games

Leaderboards →
eFG%
55.1%18
TOV%
16.3%98
OREB%
26.1%168
FTA/FGA
24.5%327
Opp eFG%
48.9%124
Opp TOV%
17.5%155
DREB%
76.1%84
Opp FTA/FGA
25.6%60

Résumé23-13 · against the ratings of 2022-04-04

Schedule strength
+5.569 of 359
Non-conference
+1.7140 of 359
Luck
-5.9%299 of 359
Wins above bubble
+0.656 of 359
Quad 1
4-6
Quad 2
5-5
Quad 3
7-1
Quad 4
7-1

Quadrants use the selection committee's boundaries (Quad 1 is a home game against the top 30, a neutral one against the top 50, or a road game against the top 75) applied to our ranking, not to the NCAA's NET, so they will not match a NET team sheet game for game. Luck and wins above bubble compare the record with today's ratings; they are not a record of our projections.

Players13 who played · most minutes first

National leaders →
PlayerGMPGPPGRPGAPGeFG%TS%USG%3P%FT%
Hunter CattoorG3632.910.04.02.058.5%59.8%15.9%41.7%72.0%
Nahiem AlleyneG3631.19.62.81.548.2%51.8%18.7%37.3%85.2%
Keve AlumaF3630.815.86.51.956.8%60.2%27.0%33.3%78.5%
Justyn MuttsF3629.910.17.43.456.6%58.4%21.2%33.3%67.5%
Storm MurphyG3626.98.01.92.954.0%55.3%18.4%35.8%75.0%
Darius MaddoxG3617.06.41.90.563.7%65.5%17.9%50.6%78.8%
David N'GuessanG3613.53.72.70.750.5%51.4%16.7%26.7%53.3%
Sean PedullaG3612.95.41.21.354.5%59.1%23.4%44.7%90.0%
Ginika OjiakoC206.22.41.90.159.4%63.1%19.9%—81.8%
Lynn KiddC102.50.71.10.037.5%41.3%25.6%—100.0%
Jalen HaynesF92.80.80.60.042.9%41.5%23.3%—33.3%
Camden JohnsonG101.70.30.20.150.0%50.0%9.8%50.0%—
Ben VargaG91.80.30.00.118.8%18.8%27.9%16.7%—

Season totals for every game played, from ESPN's statistics feed. In seasons before 2025-26 a roster can be missing a player or hold one who was elsewhere; usage is blank where the players listed do not add up to the team's minutes.

Games23-13

“Ours” is our projected margin for Virginia Tech, from the snapshot dated before each game. Games before the season's first snapshot have none.

DateOpponentQuadResultOurs
11-09vsMaineQ4#352W 82-47—
11-12@NavyQ3#158W 77-57—
11-15vsRadfordQ4#295W 65-39—
11-18vsSt. Francis (PA)Q4#324W 85-55+18.1
11-21vsMerrimackQ4#287W 72-43+16.4
11-24nMemphisQ1#28L 61-69+5.7
11-26nXavierQ2#53L 58-59+7.5
12-01@MarylandQ2#97W 62-58+1.1
12-04vsWake ForestQ2#32L 61-80+13.3
12-08vsCornellQ4#180W 93-60+10.0
12-12@DaytonQ1#41L 57-62-2.5
12-17nSt. BonaventureQ2#77W 86-49+4.9
12-22@DukeQ1#10L 65-76-8.8
01-04vsNC StateQ4#175L 63-68+17.7
01-12@VirginiaQ2#81L 52-54-0.9
01-15vsNotre DameQ2#39W 79-73+10.1
01-19@NC StateQ3#175W 62-59+2.6
01-22@Boston CollegeQ3#179L 63-68+4.1
01-24@North CarolinaQ1#20L 68-78-5.0
01-26vsMiamiQ2#60L 75-78+8.0
01-29@Florida StateQ2#125W 85-72-2.3
02-02vsGeorgia TechQ4#181W 81-66+12.6
02-05@PittsburghQ3#227W 76-71+5.7
02-07vsPittsburghQ4#227W 74-47+13.8
02-12vsSyracuseQ3#86W 71-59+8.3
02-14vsVirginiaQ3#81W 62-53+7.3
02-19vsNorth CarolinaQ1#20L 57-65+5.4
02-23@Georgia TechQ3#181W 62-58+5.6
02-26@MiamiQ1#60W 71-70+0.5
03-01vsLouisvilleQ3#160W 75-43+11.2
03-05@ClemsonQ2#80L 59-63+0.5
03-09nClemsonQ2#80W 76-75+4.5
03-10nNotre DameQ1#39W 87-80+1.8
03-11nNorth CarolinaQ1#20W 72-59+1.1
03-12nDukeQ1#10W 82-67-4.9
03-18nTexasQ1#15L 73-81-1.1

How this is measured

Ranks are out of 359 rated teams, 1 = best (for AdjD and the defensive factors, 1 = allowed the least). The four factors are raw season rates from box scores.

Every projection uses a rating snapshot dated before the game — the snapshot column shows which. A snapshot dated on or after a game already contains its result, so it is never used to project it; a game before the season's first snapshot gets no number at all. Projected margin is (this team's AdjEM − the opponent's ± home advantage) × expected possessions ÷ 100.