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 | St. Cloud Norsemen | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Brooks Bandits | AJHL | 60 | 11 | 24 | 35 | 0.583 | 0.1956 | 0.1876 | 0.5398 | 0.5177 |
| 2014-15 | Chilliwack Chiefs | BCHL | 55 | 19 | 16 | 35 | 0.636 | 0.2452 | 0.2250 | 0.9262 | 0.8499 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Augsburg | D1 | MIAC | SR | 28 | 8 | 2 | 10 | 0.357 |
| 2018-19 | Augsburg | D3 | MIAC | — | 28 | 8 | 2 | 10 | 0.357 |
| 2017-18 | Augsburg | D3 | MIAC | — | 28 | 7 | 8 | 15 | 0.536 |
| 2016-17 | St. Norbert | D3 | NCHA | — | 18 | 1 | 0 | 1 | 0.056 |
| 2015-16 | St. Norbert | D3 | NCHA | — | 21 | 3 | 6 | 9 | 0.429 |
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.