icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Philadelphia Jr. Flyers | EHL | 46 | 4 | 4 | 8 | 0.174 | 0.0373 | 0.0373 | 0.0852 | 0.0852 |
| 2020-21 | New York Apple Core | EHL | 33 | 5 | 10 | 15 | 0.455 | 0.0975 | 0.0975 | 0.2226 | 0.2226 |
| 2021-22 | New York Apple Core | EHL | 46 | 17 | 23 | 40 | 0.870 | 0.1866 | 0.1783 | 0.4258 | 0.4069 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Morrisville | D3 | SUNYAC | SR | 3 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Morrisville | D3 | SUNYAC | JR | 25 | 0 | 1 | 1 | 0.040 |
| 2023-24 | Morrisville | D3 | SUNYAC | SO | 6 | 1 | 0 | 1 | 0.167 |
| 2022-23 | Morrisville | D3 | SUNYAC | FR | 3 | 0 | 0 | 0 | 0.000 |
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.