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 | Salmon Arm Silverbacks | BCHL | 53 | 8 | 13 | 21 | 0.396 | 0.1527 | 0.1572 | 0.5766 | 0.5934 |
| 2013-14 | — | USHL | 57 | 7 | 7 | 14 | 0.246 | 0.1449 | 0.1389 | 0.7376 | 0.7068 |
| 2014-15 | Sioux Falls Stampede | USHL | 60 | 4 | 7 | 11 | 0.183 | 0.1081 | 0.0983 | 0.5505 | 0.5005 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Minnesota State | D1 | WCHA | SR | 1 | 0 | 0 | 0 | 0.000 |
| 2017-18 | Minnesota State | D1 | WCHA | JR | 9 | 0 | 0 | 0 | 0.000 |
| 2016-17 | Minnesota State | D1 | WCHA | SO | 29 | 0 | 1 | 1 | 0.035 |
| 2015-16 | Minnesota State | D1 | WCHA | FR | 28 | 0 | 3 | 3 | 0.107 |
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.