icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Abitibi Eskimos | NOJHL | 17 | 6 | 3 | 9 | 0.529 | 0.0884 | 0.0895 | 0.2204 | 0.2230 |
| 2013-14 | — | NAHL | 24 | 1 | 0 | 1 | 0.042 | 0.0153 | 0.0149 | 0.0440 | 0.0428 |
| 2014-15 | Boston Jr. Bruins | USPHL-Elite | 31 | 14 | 16 | 30 | 0.968 | 0.0893 | 0.0822 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | UMass Boston | D1 | NEHC | SR | 9 | 0 | 1 | 1 | 0.111 |
| 2018-19 | UMass Boston | D3 | NEHC | — | 9 | 0 | 1 | 1 | 0.111 |
| 2017-18 | UMass Boston | D3 | NEHC | — | 24 | 1 | 3 | 4 | 0.167 |
| 2016-17 | Suffolk | D3 | CNE | — | 23 | 6 | 5 | 11 | 0.478 |
| 2015-16 | Suffolk | D3 | CNE | — | 24 | 8 | 7 | 15 | 0.625 |
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.