New MexicoQBRostered

Jack Layne

Lake Oswego, ORFifth Year6'2"206 lb#2

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Estimated NIL value

$7K

Model estimate. This is not a reported contract.

Transfer Vulnerability Score

18 / 100

71st

Moderate risk. Percentile vs all active college players we track.

Class

Fifth Year

Seasons left (incl. 2026)

Final season

Jack Layne is a 6'2", 206-lb Fifth Year QB at New Mexico from Lake Oswego, OR. Jack Layne has a TransferPortl Transfer Vulnerability Score of 18 out of 100, a relative risk score for entering the transfer portal.

Updated Nov 9, 2026

Make Your Pick

No predictions yet for Jack Layne. The crowd pick shows after 5 more.

Only people on the TransferPortl email list can predict. We show totals, never names or emails.

Advanced Statistics

2025 · 327 att

AY/A

7.02

54th

EPA / Dropback

0.05

38th

Success Rate

41.7%

52nd

Yards / Dropback

6.50

59th

Dropbacks

312

58th

Percentiles rank this season against every 2025 FBS and FCS QBs with the same minimum sample. Higher is better.

AY/A uses passing yards, touchdowns, interceptions, and attempts. aDOT uses CFBD air-yard data. Both update with the weekly data build.

TVS History

Current TVS

Highest TVS

Oct 27, 2026

Each step is a saved weekly score; dots mark where the score changed. Hover to read any saved score. Model signals include recruiting profile, production and usage, team transfer rate, coaching changes, position, and prior transfer history. TVS is a relative risk score. It is not a literal probability.

Before past portal windows

Window	Team	TVS	Outcome
2026	New Mexico	21 Moderate	Did not enter
2025	Idaho	14 Low	Entered portal
2024	Idaho	3 Low	Did not enter

Each score comes from a model trained only on seasons before that roster year, so it shows what TVS would have said at the time.

Market Value History

Current market value

$7,466

Highest market value

$165,688

Dec 20, 2025

Each step is a saved TransferPortl estimate; dots mark where the estimate changed. Hover to read any saved estimate. Team logos mark recorded team changes. Historical points use point-in-time cumulative statistics and do not use later-season production.

Season Statistics