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 | Des Moines Buccaneers | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Des Moines Buccaneers | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Cedar Rapids RoughRiders | USHL | 9 | 0 | 1 | 1 | 0.111 | 0.0655 | 0.0647 | 0.3337 | 0.3294 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Dartmouth | D1 | ECAC | SR | 31 | 9 | 10 | 19 | 0.613 |
| 2017-18 | Dartmouth | D1 | ECAC | JR | 34 | 4 | 15 | 19 | 0.559 |
| 2016-17 | Dartmouth | D1 | ECAC | SO | 26 | 3 | 11 | 14 | 0.538 |
| 2015-16 | Dartmouth | D1 | ECAC | FR | 33 | 3 | 7 | 10 | 0.303 |
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.