icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Shreveport Mudbugs | NAHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | P.A.L. Junior Islanders | NCDC | 39 | 16 | 17 | 33 | 0.846 | 0.1956 | 0.1979 | 0.6842 | 0.6923 |
| 2023-24 | P.A.L. Junior Islanders | NCDC | 10 | 1 | 3 | 4 | 0.400 | 0.0924 | 0.0883 | 0.3234 | 0.3089 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Buffalo State | D3 | SUNYAC | — | 4 | 2 | 1 | 3 | 0.750 |
| 2024-25 | Buffalo State | D3 | SUNYAC | — | 25 | 9 | 9 | 18 | 0.720 |
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.