Fresno Pacific Sunbirds
2024 Team Stats (2 games)
62.5
PPG
84.5
Opp
-22.0
Margin
42.6%
FG%
48.9%
3P%
61.1%
FT%
32.0
RPG
12.0
APG
18.5
TO
76.5
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 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 (#277) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.5 (#437) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.480 (#339) | AdjO 72.5 | AdjD 73.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.308 (#468) | 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 → | 0.344 (#459) | 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 (#350) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-06 | @ | Fresno State Bulldogs | L | 66 - 77 |
| 2023-12-30 | @ | Nevada Wolf Pack | L | 59 - 92 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Monk
|
- | 2 | 29.0 | 25.5 | 5.0 | 0.5 | 0.5 | 0.5 | 2.5 | 16.0 | 13.5 | - | - | - | 56.2 | 68.2 | 0 | - | 79.7 | 79.7 |
I. Peralta
|
- | 2 | 28.0 | 12.0 | 2.5 | 4.0 | 0.0 | 0.0 | 2.5 | 8.0 | 8.0 | - | - | - | 56.2 | 100.0 | 62.5 | - | 61.5 | 59.4 |
R. Abbott
|
- | 2 | 27.5 | 7.5 | 3.0 | 1.5 | 0.5 | 0.0 | 1.0 | 7.0 | 4.5 | - | - | - | 35.7 | 40.0 | 50.0 | - | 45.1 | 42.9 |
E. Muhonen
|
- | 1 | 26.0 | 7.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 5.0 | 4.0 | - | - | - | 60.0 | 100.0 | 0 | - | 70.0 | 70.0 |
A. Lewis
|
- | 2 | 23.0 | 6.5 | 4.5 | 1.0 | 0.5 | 0.0 | 5.0 | 6.5 | 1.0 | -9 | -4.5 | -52.7 | 38.5 | 0.0 | 75.0 | -0.16 | 44.0 | 38.5 |
J. Geron
|
- | 2 | 20.0 | 4.5 | 3.0 | 1.0 | 1.5 | 0.0 | 1.0 | 4.0 | 5.0 | -7 | -1.8 | -49.4 | 37.5 | 37.5 | 0 | -0.07 | 56.2 | 56.2 |
A. Peltoniemi
|
- | 2 | 14.0 | 2.0 | 2.0 | 0.5 | 0.0 | 0.5 | 1.5 | 3.5 | 0.0 | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
H. Pennisi
|
- | 2 | 16.5 | 1.0 | 3.0 | 1.0 | 0.5 | 0.0 | 3.0 | 3.0 | -0.5 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
R. Vang
|
- | 1 | 10.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
G. Quiette
|
- | 1 | 12.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 0.0 | 4.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
R. Braam
|
- | 2 | 11.5 | 0.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Laavainen
|
- | 1 | 13.0 | 0.0 | 4.0 | 3.0 | 0.0 | 0.0 | 2.0 | 0.0 | 5.0 | - | - | - | 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