icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
New Jersey Devils
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Sioux Falls Stampede | USHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Muskegon Lumberjacks | USHL | 6 | 2 | 1 | 3 | 0.500 | 0.3074 | 0.3074 | 1.4731 | 1.4731 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Arizona State | D1 | NCHC | — | 31 | 17 | 21 | 38 | 1.226 |
| 2023-24 | Northern Michigan | D1 | CCHA | — | 27 | 10 | 13 | 23 | 0.852 |
| 2022-23 | Northern Michigan | D1 | CCHA | — | 38 | 11 | 21 | 32 | 0.842 |
| 2021-22 | UConn | D1 | HockeyEast | SO | 36 | 7 | 10 | 17 | 0.472 |
| 2020-21 | UConn | D1 | HockeyEast | FR | 23 | 1 | 8 | 9 | 0.391 |
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.