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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NTDP-U18 | 60 | 33 | 52 | 85 | 1.417 | 1.0985 | 1.1541 | 5.2728 | 5.5398 |
| 2023-24 | — | NTDP-U18 | 58 | 39 | 63 | 102 | 1.759 | 1.3636 | 1.3627 | 6.5453 | 6.5408 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston College | D1 | HockeyEast | SO | 34 | 23 | 24 | 47 | 1.382 |
| 2024-25 | Boston College | D1 | HockeyEast | — | 37 | 11 | 26 | 37 | 1.000 |
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.