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 | Cedar Rapids RoughRiders | USHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Tri-City Storm | USHL | 58 | 2 | 6 | 8 | 0.138 | 0.0878 | 0.0872 | 0.4132 | 0.4104 |
| 2013-14 | Tri-City Storm | USHL | 56 | 12 | 7 | 19 | 0.339 | 0.2161 | 0.2045 | 1.0168 | 0.9623 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Bentley | D1 | AHA | SR | 7 | 0 | 0 | 0 | 0.000 |
| 2016-17 | Bentley | D1 | AHA | JR | 31 | 1 | 7 | 8 | 0.258 |
| 2015-16 | Bentley | D1 | AHA | SO | 5 | 0 | 3 | 3 | 0.600 |
| 2014-15 | Bentley | D1 | AHA | FR | 28 | 4 | 7 | 11 | 0.393 |
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.