icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Boston Bruins
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Dubuque Fighting Saints | USHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Dubuque Fighting Saints | USHL | 47 | 2 | 3 | 5 | 0.106 | 0.0628 | 0.0658 | 0.3193 | 0.3345 |
| 2025-26 | Fargo Force | USHL | 61 | 10 | 20 | 30 | 0.492 | 0.2901 | 0.2899 | 1.4757 | 1.4746 |
| 2026-27 | Brantford Bulldogs | OHL | 5 | 1 | 4 | 5 | 1.000 | 0.5785 | 0.5785 | 2.6184 | 2.6184 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.