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Edge Labs · College football · Portal Intelligence

Who is reloading. Who is getting gutted.

The transfer portal rebuilds rosters every cycle, and the market does not bucket on it. For every program we surface the incoming transfer class by count and average stars, the net portal balance (in minus out), and total roster churn. This is roster intelligence, the talent moving underneath a team, not a pick and not a claim to beat a line. Every number is a literal count with the program set shown.

SECBig TenFBS onlyFCS only

Filters

season · division · conf
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2026 portal cycle · Big Ten Roster movement, deduped to the latest snapshot
n=18 · small set
18 programs. A single conference or division slice. Honest counts, modest sample.
Heads up · 2026 is the active cycle and still moving. Counts will keep climbing as more transfers enter. Read it as a live snapshot, not a closed book.
Programs in scope 18 with portal activity this cycle
Avg transfers in 23.7 per program, incoming
Avg transfers out 25.9 per program, departures
Star avg coverage 18 of 18 carry a class star avg

Biggest incoming classes

count × avg stars
Most transfers added this cycle. The star average is the recruiting composite of the incoming class · volume and talent are different questions.
# Program In Avg ★ Net
1 UCLA Big Ten 44 3.04 +12
2 Penn State Big Ten 43 3.14 -5
3 Michigan State Big Ten 38 3.06 -9
4 Wisconsin Big Ten 38 3.00 +13
5 Purdue Big Ten 30 3.03 +2
6 Illinois Big Ten 21 3.10 -7
7 Michigan Big Ten 20 3.20 -14
8 Oregon Big Ten 20 3.16 -11
9 Rutgers Big Ten 20 3.11 +3
10 Minnesota Big Ten 20 3.10 0
11 Indiana Big Ten 19 3.26 +1
12 Northwestern Big Ten 18 3.12 +8
13 Nebraska Big Ten 18 3.11 -4
14 Washington Big Ten 18 3.11 -6
15 Maryland Big Ten 18 3.06 +2
Top 15 of 18 · n=18

Most roster churn

in + out
Total bodies moving in and out. High churn is a rebuilt locker room · who you saw last season is not who takes the field.
# Program In Out Churn
1 Penn State Big Ten 43 48 91
2 Michigan State Big Ten 38 47 85
3 UCLA Big Ten 44 32 76
4 Wisconsin Big Ten 38 25 63
5 Purdue Big Ten 30 28 58
6 Michigan Big Ten 20 34 54
7 Ohio State Big Ten 16 38 54
8 Oregon Big Ten 20 31 51
9 Illinois Big Ten 21 28 49
10 Washington Big Ten 18 24 42
11 Minnesota Big Ten 20 20 40
12 Nebraska Big Ten 18 22 40
13 Rutgers Big Ten 20 17 37
14 Indiana Big Ten 19 18 37
15 Maryland Big Ten 18 16 34
Top 15 of 18 · n=18

Net portal gainers

reloaded
Brought in more than they lost. Net balance is roster headcount, not a talent grade · a big net gain at low stars is still a rebuild.
# Program Net In Avg ★
1 Wisconsin Big Ten +13 38 3.00
2 UCLA Big Ten +12 44 3.04
3 Northwestern Big Ten +8 18 3.12
4 Iowa Big Ten +7 15 3.00
5 Rutgers Big Ten +3 20 3.11
6 Purdue Big Ten +2 30 3.03
7 Maryland Big Ten +2 18 3.06
8 Indiana Big Ten +1 19 3.26
Top 8 · n=18

Net portal losses

gutted
Lost more than they replaced. A deep net loss is a roster bleeding out · context for who has to rebuild, never a read on a game line.
# Program Net In Out
1 Ohio State Big Ten -22 16 38
2 Michigan Big Ten -14 20 34
3 Oregon Big Ten -11 20 31
4 USC Big Ten -10 11 21
5 Michigan State Big Ten -9 38 47
6 Illinois Big Ten -7 21 28
7 Washington Big Ten -6 18 24
8 Penn State Big Ten -5 43 48
9 Nebraska Big Ten -4 18 22
Top 9 · n=18

Roster intelligence, not a bet. This is the talent moving through the portal, the data the market does not bucket on. It is context on who is reloading and who is rebuilding, never a pick, a win rate, or a claim to beat a spread. Star averages are the recruiting composite of the incoming class, not on-field production. Counts are deduped to the latest snapshot per program. 2020 is left out · it predates the portal era and is effectively empty. The newest cycle is still moving and marked in progress. Every number shows its program set (n). 21+ · research, not advice.