icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | NAHL | 34 | 1 | 10 | 11 | 0.324 | 0.1201 | 0.1165 | 0.3425 | 0.3323 |
| 2014-15 | St. Cloud Norsemen | NAHL | 19 | 1 | 0 | 1 | 0.053 | 0.0195 | 0.0179 | 0.0557 | 0.0511 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Saint John's | D3 | — | SR | 2 | 0 | 1 | 1 | 0.500 |
| 2017-18 | Saint John's | D3 | — | JR | 11 | 0 | 3 | 3 | 0.273 |
| 2016-17 | Gustavus Adolphus | D3 | — | SR | 20 | 3 | 4 | 7 | 0.350 |
| 2016-17 | Saint John's | D3 | — | SO | 16 | 1 | 3 | 4 | 0.250 |
| 2015-16 | Gustavus Adolphus | D3 | — | JR | 11 | 0 | 5 | 5 | 0.455 |
| 2015-16 | Saint John's | D3 | — | FR | 19 | 0 | 5 | 5 | 0.263 |
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.