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Dan Sexton Elite Prospects ↗

Position: Forward DOB: 1987-04-29 Country: USA
Signed Professionally
Växjö Lakers HC · SHL

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  Solid blue = age-adjusted NCAAe-PPG  ·  Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2005-06 Wichita Falls Wildcats NAHL 58 22 37 59 1.017 0.4030 0.4128 1.0680 1.0939
2006-07 Sioux Falls Stampede USHL 58 14 10 24 0.414 0.2544 0.2436 1.2191 1.1671
2013-14 TPS Liiga 39 16 21 37 0.949 2.3718 2.4177
2014-15 Neftekhimik Nizhnekamsk KHL 49 19 28 47 0.959 2.3980 2.3711
2015-16 Neftekhimik Nizhnekamsk KHL 33 7 15 22 0.667 1.6667 1.5357
2016-17 Neftekhimik Nizhnekamsk KHL 51 13 37 50 0.980 2.4510 2.1559
2017-18 Neftekhimik Nizhnekamsk KHL 52 12 35 47 0.904 2.2595 1.8908
2018-19 Avtomobilist Yekaterinburg KHL 61 25 28 53 0.869 2.1723 1.7217
2019-20 Avtomobilist Yekaterinburg KHL 55 15 19 34 0.618 1.5455 1.5455
2020-21 Avtomobilist Yekaterinburg KHL 41 7 18 25 0.610 1.5245 1.5245
2021-22 Neftekhimik Nizhnekamsk KHL 46 7 17 24 0.522 1.3043 0.8195
2022-23 Växjö Lakers HC SHL 44 8 16 24 0.545 1.3638 0.7891
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2008-09 Bowling Green D1 SO 38 17 22 39 1.026
2007-08 Bowling Green D1 FR 38 7 14 21 0.553
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
Actual FR PPG
0.55
2007-08 · Bowling Green
+107.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
8%
NCAA D1
0%
NCAA D2/D3
92%
Pro / Other

NCAAe Rankings

#622
Forward overall
#25
Forward born in 1987

D2/3 Comparables

SUNY Plattsburgh · 2022-23
0.588 Average
actual D2/3 PPG
SUNY Cortland · 2015-16
0.760 Strong
actual D2/3 PPG
New England · 2017-18
0.727 Strong
actual D2/3 PPG

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.