We Tested Hockey's 0.41 College Translation Factor. It Measures the Players Who Made It.

Published 2 October 2026, 9:43 pm ET

For more than a decade, hockey analysts have turned college scoring into an NHL equivalent by multiplying it by 0.41. A college player scoring a point a game projects to about 0.41 NHL points a game. We use it too. Its best-known criticism is that it was built from the players who made the NHL, so it describes the winners. We tested that on our own data, and the criticism is right.

The test

We took every player drafted from 2005 to 2021 and his full season history from the NHL's own player feed. A test case is a college season of 15 or more games followed the next season by 20 or more professional games and no college games: the season he left school. That gives 600 cases from the 2004-05 to 2024-25 seasons. His first pro season counts NHL points at face value and AHL points at the published AHL factor (0.44), and the translation factor is his pro scoring rate divided by his college scoring rate, weighted by pro games played.

Finding 1: 0.41 is the factor for the players who made it

Group	Cases	Factor
Went straight to the NHL (most of the next season in the NHL)	106	0.413
Later played 200 or more NHL games	205	0.348
Everyone who turned pro	600	0.288 (95% 0.275 to 0.300)
Started in the AHL	494	0.244

The published factor reproduces almost exactly, 0.413, but only for the 106 players who went straight from college to the NHL. Across everyone who left college for the pros, a point a game in college was worth 0.288 pro points a game. Predicting a player's first pro season with 0.41 produced 53% more error than the all-players factor, and lost in all 100 rounds of cross-validation.

Both numbers are right; they answer different questions. If a player makes the NHL, 0.41 is a fair guide to what he scores there. As a guess about a college player before anyone knows whether he will make it, 0.29 is the honest number, and most of the gap is the chance he does not.

College scoring against the first pro season, all 600 players

Show

Hover or tap a point. Toggle the groups above.

Each dot is one player's last college season and his first pro season. The thick lines are the average in bands of 0.2 college points per game (15 or more players). The straight-to-NHL players sit near the published line; the larger group that started in the AHL sits well under it.

Try it: what a college scoring rate is worth

College points per game1.00

Published factor × .410

What it is used for: the rate if he makes it

0.41 P/GP

34 pts / 84 gm

Straight to the NHL × .413

106 players, measured

0.41 P/GP

35 pts / 84 gm

Everyone who turned pro × .288

600 players, measured

0.29 P/GP

24 pts / 84 gm

Points over an 84-game season at each factor. The gap between the first and last rows is the chance a college player does not become an NHL regular.

Finding 2: conferences barely differ, except one

Conference	Cases	Factor	95% range
WCHA	81	0.316	0.278 to 0.357
CCHA	55	0.296	0.264 to 0.332
Hockey East	184	0.295	0.273 to 0.318
Big Ten	97	0.293	0.259 to 0.331
NCHC	100	0.280	0.248 to 0.312
ECAC	71	0.238	0.206 to 0.268
Other	12	0.225	0.162 to 0.310

College translation factor by conference, with 95% ranges

Every conference's range sits well under the published factor. Bars that overlap cannot be told apart with this many players.

Conferences are taken as they stood each season: the CCHA and the old WCHA before the 2013 realignment, the Big Ten and NCHC after. "Other" is Atlantic Hockey and the smaller conferences, where few drafted players skate, so its range is wide. The major conferences sit within a few hundredths of each other. ECAC is the exception, about a fifth lower, and its range does not overlap Hockey East's.

Does knowing the conference help predict a player's first pro season? We tested it with five-fold cross-validation, repeated 20 times:

Model	Prediction error vs one factor	Rounds it beat one factor
one factor + ECAC	-0.1%	61 of 100
by conference	+0.4%	43 of 100
published 0.41	+53.2%	0 of 100

A separate factor for every conference predicts slightly worse than one factor; an ECAC discount is a wash. One college factor is what the data supports.

Finding 3: the AHL factor has the same tilt

AHL pairing	Cases	Factor
An AHL season, then 20 or more NHL games the next season	695	0.460 (95% 0.442 to 0.478)
A season split between the AHL and NHL (15+ games in each)	1165	0.387 (95% 0.374 to 0.400)
Published		0.44

AHL translation factor, with 95% ranges

The published 0.44 sits with the players who earned a full NHL season. The split-season pairing, which includes every call-up, comes in lower. Unlike college there is no everyone-included version here, because an AHL player who never reaches the NHL has no NHL rate to compare. Using the split-season AHL factor in the college test instead of the published one lowers the everyone-who-turned-pro college factor to 0.267, and leaves the straight-to-NHL figure at 0.408.

Limits

Drafted players only, from the NHL's feed. Undrafted college free agents are not in it.
First pro seasons. A rookie's first year includes adjusting to the pro game; a factor built on later seasons could differ.
Only players who turned pro the next season. A player who stayed in school is measured from the season he left.
Before 2025. The NCAA opened to CHL players for 2025-26, which changes the college game these factors describe. That cannot be measured until those players turn pro.

How we use it

Rookie projections keep 0.41. A rookie we project is already on an NHL roster, which is the straight-to-NHL question.
Prospect rankings use base rates. Our NCAA and AHL prospect lists rank each player on what happened to drafted players with a similar season at his age, which accounts for the players who never made it directly, and label the NHL-equivalent column as the rate if he makes the NHL. See the NCAA list and the AHL list.
Reproducible. The test is one script run on the same feed; we will rerun it as the post-2025 college classes turn pro.