Virginia Tech
2026-2027 Team Stats (4 games)
80.5
PPG
50.2
Opp
+30.2
Margin
44.2%
FG%
24.6%
3P%
65.1%
FT%
47.5
RPG
16.5
APG
13.3
TO
75.9
Est. poss./game
70.6
Adj PPG
55.3
Adj Opp PPG
#52
Scoring Rank
Model Outputs
2026-2027
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1203 (#74) | Preseason prior 1134 (returning production + recruiting): last season 1161, returning +1, transfers -28, freshmen +0 |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1126 (#75) | HCA +169 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1125 (#75) | HCA +169 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.1 (#56) | HCA +1.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.1 (#56) | HCA +1.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.958 (#43) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.844 (#50) | AdjNet +21.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.873 (#42) | AdjNet +23.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.763 (#52) | AdjO 70.6 | AdjD 55.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.761 (#52) | AdjO 70.6 | AdjD 55.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.798 (#54) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.798 (#54) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1168 (#67) | RD 168 | GP 4 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More → | 0.794 (#65) | Chronological component blend with rest and venue. |
Rank through the season
League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.
Recency Ensemble
Log Adjusted
Elo
Points Off/Def Recency
2026-2027 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-11-02 | vs | North Carolina Central Eagles | W | 85 - 39 |
| 2026-11-04 | vs | Delaware Blue Hens | W | 101 - 53 |
| 2026-11-08 | vs | James Madison Dukes | W | 59 - 43 |
| 2026-11-12 | @ | VCU Rams | W | 77 - 66 |
| 2026-11-15 | vs | La Salle Explorers | - | Preview |
2026-2027 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carleigh Wenzel
|
G | 4 | 28.2 | 16.8 | 2.5 | 3.0 | 1.8 | 0.5 | 2.8 | 14.8 | 7.0 | 80 | 4 | 20.0 | 28.4 | 35.6 | 30.0 | 82.6 | 1.1 | 48.5 | 40.7 |
Jessica Dimaro
|
C | 4 | 23.0 | 15.5 | 14.5 | 0.5 | 0.8 | 1.5 | 2.8 | 11.2 | 18.8 | 85 | 4 | 21.2 | 36.6 | 57.8 | 0 | 62.5 | 3.4 | 59.6 | 57.8 |
Samyha Suffren
|
G | 4 | 24.0 | 10.8 | 4.2 | 1.0 | 2.2 | 0.0 | 1.2 | 11.0 | 6.0 | 86 | 4 | 21.5 | 35.5 | 36.4 | 40.0 | 69.2 | 3.52 | 43.2 | 38.6 |
Alyssa Latham
|
F | 3 | 19.3 | 10.7 | 5.0 | 1.3 | 1.7 | 0.7 | 1.0 | 7.3 | 11.0 | 36 | 3 | 12.0 | 24.4 | 59.1 | 0 | 46.2 | 1.87 | 57.7 | 59.1 |
Leila Wells
|
G | 4 | 27.8 | 7.5 | 3.0 | 3.0 | 2.0 | 0.5 | 1.8 | 7.8 | 6.5 | 74 | 4 | 18.5 | 26.8 | 41.9 | 20.0 | 50.0 | 1.22 | 47.1 | 46.8 |
Amani Jenkins
|
F | 4 | 10.5 | 6.2 | 3.0 | 0.8 | 0.2 | 0.5 | 0.8 | 2.8 | 7.2 | 39 | 4 | 9.8 | 37.7 | 90.9 | 0 | 62.5 | -0.82 | 86.1 | 90.9 |
Kaleo Anderson
|
G | 4 | 13.8 | 5.5 | 2.5 | 0.8 | 0.2 | 0.8 | 0.8 | 5.2 | 3.8 | 43 | 4 | 10.8 | 31.0 | 42.9 | 33.3 | 66.7 | 0.21 | 49.3 | 47.6 |
Kate Sears
|
G | 4 | 20.5 | 4.2 | 1.8 | 3.0 | 0.2 | 0.2 | 0.8 | 5.5 | 3.2 | 70 | 4 | 17.5 | 34.4 | 31.8 | 18.2 | 100.0 | 1.98 | 37.9 | 36.4 |
Aniya Trent
|
F | 4 | 22.8 | 3.0 | 5.5 | 2.5 | 0.8 | 1.0 | 1.8 | 3.2 | 7.8 | 53 | 4 | 13.2 | 23.5 | 46.2 | 0 | 0 | -1.22 | 46.2 | 46.2 |
Francesca Baldassarre
|
G | 2 | 14.0 | 2.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 5.0 | -0.5 | 23 | 2 | 11.5 | 31.9 | 20.0 | 14.3 | 0 | 0.2 | 25.0 | 25.0 |
Arianna Harris-Mott
|
F | 2 | 11.5 | 2.5 | 4.5 | 0.5 | 0.5 | 3.5 | 0.0 | 2.5 | 9.0 | 15 | 2 | 7.5 | 26.2 | 40.0 | 0 | 25.0 | -0.93 | 37.0 | 40.0 |
Natalee Goff
|
G | 2 | 4.5 | 1.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1 | 2 | 0.5 | 4.9 | 50.0 | 0.0 | 0 | -0.96 | 50.0 | 50.0 |
Lauren Hurst
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG
Alumni in the Pros
Former Virginia Tech players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Virginia Tech game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG | Last game | Last 30 days |
|---|---|---|---|---|---|---|---|---|---|---|
| Georgia Amoore | 2020-24 | WNBA | Washington Mystics | 44 | 23.1 | 7.0 | 1.4 | 3.4 | 09-30 2 pts, 5 reb, 4 ast Playoffs | no games |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-09-30 | Georgia Amoore | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 28 | 2 | 5 | 4 | Box |
| 2026-09-27 | Georgia Amoore | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 24 | 8 | 4 | 3 | Box |
| 2026-09-24 | Georgia Amoore | WNBA | Washington Mystics | vs Chicago Sky | 23 | 14 | 1 | 1 | Box |
| 2026-05-02 | Kayana Traylor | WNBA Preseason | Indiana Fever | vs NIGERIA | 11 | 5 | 1 | 1 | Box |
| 2026-04-30 | Kayana Traylor | WNBA Preseason | Indiana Fever | vs Dallas Wings | 11 | 8 | 0 | 0 | Box |
| 2026-04-29 | Dara Mabrey | WNBA Preseason | Toronto Tempo | vs Connecticut Sun | 14 | 0 | 3 | 1 | Box |
| 2026-04-29 | Aisha Sheppard | WNBA Preseason | Phoenix Mercury | vs JAPAN | 7 | 2 | 0 | 2 | Box |
| 2026-04-27 | Lani White | WNBA Preseason | Minnesota Lynx | vs NIGERIA | 10 | 11 | 2 | 0 | Box |
| 2026-04-25 | Lani White | WNBA Preseason | Minnesota Lynx | @ Washington Mystics | 8 | 1 | 0 | 0 | Box |
| 2026-04-25 | Kayana Traylor | WNBA Preseason | Indiana Fever | @ New York Liberty | 13 | 9 | 0 | 1 | Box |
| 2026-04-25 | Ashley Owusu | WNBA Preseason | New York Liberty | vs Indiana Fever | 13 | 2 | 3 | 1 | Box |
| 2026-04-25 | Aisha Sheppard | WNBA Preseason | Phoenix Mercury | vs Chicago Sky | 6 | 3 | 1 | 0 | Box |
2026-2027 Shot Zones
285 located field-goal attempts in 4 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Jessica DimaroCarleigh WenzelSamyha SuffrenLeila WellsAlyssa LathamKate SearsFrancesca Baldassarre
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 65-103 | 63.1 | 130 | Jessica Dimaro 32% (42 pts) | Carleigh Wenzel 15% (20 pts) | Jessica Dimaro 32% (12 misses) | Carleigh Wenzel 13% (5 misses) |
| Paint (non-RA) | 35-68 | 51.5 | 70 | Leila Wells 17% (12 pts) | Alyssa Latham 14% (10 pts) | Carleigh Wenzel 24% (8 misses) | Samyha Suffren 24% (8 misses) |
| Mid-range left | 3-15 | 20.0 | 6 | Alyssa Latham 33% (2 pts) | Aniya Trent 33% (2 pts) | Carleigh Wenzel 33% (4 misses) | Samyha Suffren 25% (3 misses) |
| Mid-range center | 1-11 | 9.1 | 2 | Kate Sears 100% (2 pts) | - | Carleigh Wenzel 30% (3 misses) | Samyha Suffren 30% (3 misses) |
| Mid-range right | 6-23 | 26.1 | 12 | Kate Sears 50% (6 pts) | Samyha Suffren 33% (4 pts) | Samyha Suffren 41% (7 misses) | Carleigh Wenzel 24% (4 misses) |
| Left corner 3 | 2-8 | 25.0 | 6 | Carleigh Wenzel 50% (3 pts) | Kaleo Anderson 50% (3 pts) | Leila Wells 67% (4 misses) | Francesca Baldassarre 33% (2 misses) |
| Right corner 3 | 2-5 | 40.0 | 6 | Carleigh Wenzel 50% (3 pts) | Francesca Baldassarre 50% (3 pts) | Francesca Baldassarre 67% (2 misses) | Leila Wells 33% (1 misses) |
| Above-break 3 left | 7-23 | 30.4 | 21 | Carleigh Wenzel 29% (6 pts) | Leila Wells 29% (6 pts) | Kate Sears 44% (7 misses) | Carleigh Wenzel 19% (3 misses) |
| Above-break 3 center | 1-10 | 10.0 | 3 | Carleigh Wenzel 100% (3 pts) | - | Carleigh Wenzel 67% (6 misses) | Kaleo Anderson 11% (1 misses) |
| Above-break 3 right | 4-19 | 21.1 | 12 | Carleigh Wenzel 25% (3 pts) | Kaleo Anderson 25% (3 pts) | Carleigh Wenzel 33% (5 misses) | Leila Wells 20% (3 misses) |