icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Mahtomedi High | USHS-MN-W | 24 | 3 | 1 | 4 | 0.167 | 0.0268 | 0.0268 | — | — |
| 2012-13 | St. Paul United (W) | USHS-MN-W | 24 | 6 | 8 | 14 | 0.583 | 0.0937 | 0.0937 | — | — |
| 2013-14 | St. Paul United (W) | USHS-MN-W | 23 | 1 | 5 | 6 | 0.261 | 0.0419 | 0.0419 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin-River Falls | D3 | — | — | 23 | 1 | 0 | 1 | 0.043 |
| 2018-19 | Wisconsin-River Falls | D3 | — | — | 28 | 0 | 6 | 6 | 0.214 |
| 2017-18 | Merrimack | D1 | — | — | 34 | 0 | 4 | 4 | 0.118 |
| 2016-17 | Merrimack | D1 | — | — | 36 | 0 | 2 | 2 | 0.056 |
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.