Thomas (ME) Terriers
Also known as: Thomas (ME) Terriers
Program History
2025 Team Stats (1 games)
75.0
PPG
113.0
Opp
-38.0
Margin
39.3%
FG%
39.4%
3P%
82.4%
FT%
29.0
RPG
16.0
APG
16.0
TO
84.5
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#270) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.3 (#562) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.469 (#411) | AdjO 72.5 | AdjD 73.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.147 (#628) | 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 → | 0.202 (#617) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 929 (#362) | RD 350 | GP 1 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-09 | @ | Boston University Terriers | L | 75 - 113 |
2025 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Desjardins
|
- | 1 | 26.0 | 15.0 | 2.0 | 2.0 | 0.0 | 0.0 | 3.0 | 10.0 | 6.0 | - | - | - | 50.0 | 62.5 | 0 | - | 75.0 | 75.0 |
L. Gabloff
|
- | 1 | 15.0 | 14.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 7.0 | 8.0 | - | - | - | 57.1 | 80.0 | 100.0 | - | 88.8 | 85.7 |
J. Ruelke
|
- | 1 | 26.0 | 12.0 | 5.0 | 2.0 | 0.0 | 0.0 | 1.0 | 10.0 | 8.0 | - | - | - | 40.0 | 50.0 | 75.0 | - | 51.0 | 45.0 |
C. Yorke
|
ATH | 1 | 27.0 | 9.0 | 4.0 | 5.0 | 1.0 | 0.0 | 6.0 | 6.0 | 7.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 61.5 | 50.0 |
J. Bouchard
|
- | 1 | 18.0 | 7.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | - | - | - | 25.0 | 33.3 | 100.0 | - | 60.8 | 37.5 |
L. Briggs
|
ATH | 1 | 25.0 | 7.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 8.0 | 1.0 | - | - | - | 25.0 | 25.0 | 100.0 | - | 39.4 | 31.2 |
L. Anda
|
ATH | 1 | 21.0 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 3.0 | - | - | - | 50.0 | 33.3 | 0.0 | - | 51.2 | 62.5 |
I. Corson
|
- | 1 | 13.0 | 4.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
G. Ungaro
|
- | 1 | 13.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | -1.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
W. Smith
|
ATH | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
P. Sergent
|
ATH | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | -4.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
P. Mitchell
|
- | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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