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CFB · Week 2 · Sat, Sep 12 · 12:00 PM ET · Michie Stadium · FINAL South Florida 28, Army 24

South Florida at Army. Our picks: Army -3.5 (low). Under 46.5 (medium).

The picks come first on this page. The market's number, our number and the gap between them sit under them as MODEL CONTEXT: that is the input our analyst panel argued from, not a call of its own. Tiers are how decisively the evidence agreed, never a win probability.

ATS pick
Army -3.5
low LOSS
locked Thu 1:06pm ET
locked -3.5 · closed -3
South Florida 28, Army 24
Total pick
Under 46.5
medium LOSS
locked 46.5 · closed 45.5
panel 3-0

Panel reasoning

On the spread

South Florida at Army, Army -3.5. The line opened -1.5 (FanDuel and DraftKings, 9/3-9/4) and moved to -3.5 by 9/6, where it has held at every tracked book since; Pinnacle opened and held -3.5 all week. USF is in year one under a new head coach with both coordinators replaced, 20 of 24 starters gone, and a defense returning one starter of 28. Its opener produced only 208 total yards and one offensive touchdown in a 19-9 win over FIU. Army opened with a 59-3 win over Bryant behind an established option quarterback and 569 rushing yards. Our own model makes Army -2.9 against the -3.5 market, a 0.6-point gap inside the model's no-lean threshold, so it does not favor either side on its own. The dissenting view takes the points, arguing the talent and portal gap still favors Army and that 3.5 points is a large share of a low-scoring game. Take Army -3.5 (-102).

On the total

Under 46.5. The total opened between 49.5 and 54.5 across books from 9/3 to 9/6 and has closed at 46.5 everywhere by 9/10, a six to eight point drop. Our totals model projects 50.4, but it only names a side at a 12.86-point gap and this 3.9-point gap is inside its noise band, so it is still mostly pricing last season's offenses. USF managed only 208 yards and 19 points in its opener, and Army's option attack is run-heavy and clock-eating. The counter-case is that USF can improve off a first game and Army showed explosive rushing against Bryant. Weather is a non-factor: mostly sunny, light wind, no precipitation. Take Under 46.5, -106 at FanDuel.

Model context

The numbers the panel argued from. Our models price a game, the panel makes the call, and the picks above are the call. Nothing in this block is a pick.

Locked line
South Florida +3.5 · Army -3.5
the spread we locked at, it does not move
Our model number
Army by 2.9
the calibrated EL CFB rating number, home field included
Spread gap
0.1 points
the distance between our model number and the market. Context for the panel, not a call of its own.
Market total
45.5
consensus of 5 books at the model run, Sep 12, 12:38 PM ET
Our total
50.4
EL CFB Totals v1
Total gap
+4.9
the distance between our model total and the market total. Context for the panel, not a call of its own.

Context, not a call. The spread number is our rating difference plus home field. The totals number is a registered candidate that loses to the closing total: across 2,264 held out games it missed the combined score by 12.862 points on average and the closing total missed by 12.635, ahead of us in all 3 of those seasons, so it never posts to the board and never enters the record on its own.

Over and under splits

Descriptive context on this game, every line with the games it counts. None of it is a reason a pick wins and none of it enters a tier.

  • Army have gone UNDER in 7 of their last 10
    total · under · lean · n=10
    Army's last 10 gradable games landed under 70% vs the consensus total. Streak continuation tested 2013-2025: 49.5% train / 46.4% held-out 2025, it does NOT persist. A real recent pattern, weigh with the matchup, not alone.
  • South Florida have gone OVER in 7 of their last 10
    total · over · lean · n=10
    South Florida's last 10 gradable games landed over 70% vs the consensus total. Streak continuation tested 2013-2025: 49.5% train / 46.4% held-out 2025, it does NOT persist. A real recent pattern, weigh with the matchup, not alone.

The panel

Panel A

Army -3.5

Under 46.5

EL makes Army -2.9 versus the market's -3.5, effectively agreement given the model's error and unproven ATS record. My lean toward Army comes from USF's transition: the dossier incorrectly says no first-year head coach, while Brian Hartline is rebuilding the offense around Michael Van Buren. USF generated only 208 yards against FIU despite committing no turnovers; its three defensive takeaways all produced scoring drives. That raises questions about sustaining offense without short fields. Army's established quarterback and rushing attack present a difficult first road assignment. However, Bryant is inadequate evidence that Army's 59-point performance translates against FBS competition. The move from early Army -1.5 to -3.5 already prices considerable concern about USF, and laying beyond three materially reduces appeal. Reported betting splits favor Army but conflict across snapshots, so they add no conviction. I lean Army modestly; neither the small model discrepancy nor unconfirmed receiver injuries justifies a strong position.

Total. The under case rests on USF's changed offense and an expected possession-limiting Army rushing approach, not weather. USF's opener produced one touchdown and only 208 yards, making last year's 40.5-point scoring average a questionable foundation for EL's 50.39 projection. The over deserves consideration: Army demonstrated explosive rushing, USF can improve after its first game, and mild conditions should permit normal execution. Furthermore, the market has already removed six to eight points from some early totals, so the easiest under value is gone. I still lean under 46.5 because sustained USF scoring remains less convincing than the historical model implies. Receiver uncertainty is only a minor consideration, with neither player confirmed out. This is a moderate lean after a substantial adjustment, not a strong bet.

Where our model looks wrong

USF's first_year_head_coach=false is factually incorrect. Its offensive continuity assumptions are suspect following Hartline's arrival and the quarterback change. The totals model likely overvalues the relevance of USF's 2025 scoring. Conversely, Army's margin-only update risks overrewarding a rout of Bryant. These opposing errors prevent treating Army -2.9 as a precise fair line.

Panel B

South Florida +3.5

Under 46.5

Army is -3.5 at every book and has been since 9/6, after openers of -1.5 (FanDuel 9/3, DraftKings 9/4). That two-point steam is priced off a 59-3 win over FCS Bryant with 569 rushing yards, the most by an FBS team since 2022 (USF Oracle 9/9), an outlier that projects almost nothing to an FBS game, and off USF's ugly 208-yard, 19-9 win over FIU. Our in-season number says Army -2.9 and the preseason-prior version says only -1.7 (Army 0.34 vs USF 1.178 plus 2.5 home); both sit on the USF side. The talent gap still points the other way: SP+ prior 11.6 vs 0.8, portal net +13, LSU transfer QB Michael Van Buren Jr., power-conference transfer receivers, and a defense that forced three turnovers and gave up nine points in Week 1. Army went 7-6 in 2025 at a +2.2 average scoring margin, and in a projected ~43-point game 3.5 points is a large fraction of the distribution. Take the points; the option-prep angle keeps this a lean, not a bet.

Total. The total opened 54.5 (FanDuel 9/3) and 52.5 (DraftKings 9/4) on USF's 2025 offense, which averaged 40.5 points and no longer exists; it reopened 49.5 on 9/6 and is 46.5 everywhere now. Our totals model says 50.4 and is making the openers' mistake, it is fit mostly on last year's units and cannot see that USF replaced its head coach, both coordinators, its quarterback and 20 of 24 starters. Army led FBS in time of possession in 2025 at 35:16 and was last in pass attempts; its 2025 games averaged 45.4 combined points. USF gained 208 yards in Week 1 and 13 of its 19 points came from field goals. Fewest possessions in the sport against a 127th-ranked offense, with neutral weather. Three points of the move are already gone, so this is a lean rather than a full-size play.

Where our model looks wrong

The in-season v1 refit learns from final margins only, so a 56-point win over FCS Bryant swung Army from 0.34 to 1.042 while a workmanlike 19-9 win dropped USF from 1.178 to 0.649. That is the same Week 1 overreaction the market made, only harder, and it is exactly the FCS-opponent case the model's own notes flag as least reliable. Neither number describes the team USF is fielding: the preseason prior is built on the old roster's recruiting composite, SP+ and returning production, and the 12.6% returning-production input tells you the prior is nearly meaningless here after a coaching change, both coordinators replaced, a new quarterback and 20 of 24 starters gone. Flat 2.5 home field also has no term for a noon academy kickoff at Michie, and nothing in the model prices one week of preparation against a flexbone triple option, the single largest variable in this game, and the one that would most easily make me wrong on this side.

Panel C

Army -3.5

Under 46.5

Our model has Army favored by only 2.9 vs. a market close of -3.5, a 0.6-point gap well inside the model's own no-edge zone, and the model has no proven ATS track record regardless. That leaves situational reads. Army's in-season rating jumped off one 59-3 blowout of FCS Bryant, a sample the model itself flags as least reliable; preseason actually rated USF the better team (1.18 vs 0.34) with a higher recruiting/portal profile. Real-world evidence points the other way, though: USF's offense produced only 208 total yards against FIU (127th of 138 FBS teams), and its defense returns one starter of 28 total starts, facing an Army option attack (648 yards, 569 rushing, 16 ball carriers vs Bryant) most defenses see once a year. Army DL Jack Bousum (boot, questionable) is the one injury cutting the other way. The line itself looks efficient, Pinnacle opened and held -3.5 all week, with softer books just catching up, so there's no square-money overreaction to exploit. Lean Army, small edge, not a market inefficiency.

Total. Our totals model says 50.4 against a 46.5 market close, but that model only fires with a 12.86-point gap, this 3.9-point diff is noise by its own admission, and its current-season weight is thin this early, so it's really pricing last year's offenses plus venue terms. The market has already moved hard: every tracked book opened between 49.5 and 54.5 and closed at 46.5 by 9/10, after both teams showed the total should be lower, Army's offense is run-first and clock-eating (569 rush yards, zero pass explosiveness historically), and USF managed just 208 yards and 19 points against FIU. Weather is a non-factor (mostly sunny, 76F, light wind, no rain). Two shaky offenses and an option team that shortens the game argue for the market's newer, lower number over our stale model.

Where our model looks wrong

Army's -2.9 in-season number is driven almost entirely by one 59-3 win over FCS Bryant, the exact scenario the model's own documentation calls least reliable, while the preseason composite actually favored USF (1.18 vs 0.34, plus a +13 portal net vs Army's -7). The model has no visibility into Bousum's DL injury, USF's near-total defensive turnover, or Army's historically anemic passing game, so its gap-only read of a 0.6-point disagreement understates how one-sided the matchup context actually is, even though the market number ends up close to right.

The write-up

The case

South Florida at Army, Army -3.5. The line opened -1.5 (FanDuel and DraftKings, 9/3-9/4) and moved to -3.5 by 9/6, where it has held at every tracked book since; Pinnacle opened and held -3.5 all week. USF is in year one under a new head coach with both coordinators replaced, 20 of 24 starters gone, and a defense returning one starter of 28. Its opener produced only 208 total yards and one offensive touchdown in a 19-9 win over FIU. Army opened with a 59-3 win over Bryant behind an established option quarterback and 569 rushing yards. Our own model makes Army -2.9 against the -3.5 market, a 0.6-point gap inside the model's no-lean threshold, so it does not favor either side on its own. The dissenting view takes the points, arguing the talent and portal gap still favors Army and that 3.5 points is a large share of a low-scoring game. Take Army -3.5 (-102).

Confidence: low

Three independent analyst panels (A, B and C) worked the same evidence pack and the week's news independently, each returned a side, and each then ranked its five strongest picks for the week. Two of the three panels were on this side, with the third close behind on the other side. Low is a decisiveness label for how firmly the panel agreed, never a win probability: high means every panel was on this side and ranked it among the week's best; only high picks count on the record and go free.

The total: Under 46.5 (medium)

Under 46.5. The total opened between 49.5 and 54.5 across books from 9/3 to 9/6 and has closed at 46.5 everywhere by 9/10, a six to eight point drop. Our totals model projects 50.4, but it only names a side at a 12.86-point gap and this 3.9-point gap is inside its noise band, so it is still mostly pricing last season's offenses. USF managed only 208 yards and 19 points in its opener, and Army's option attack is run-heavy and clock-eating. The counter-case is that USF can improve off a first game and Army showed explosive rushing against Bryant. Weather is a non-factor: mostly sunny, light wind, no precipitation. Take Under 46.5, -106 at FanDuel.

Our number

edgelabs EL rating (preseason v1 until a team has played, then the in-season v1 Elo-style refit, Sun 23:00 and Tue 02:00 PT) run through the 2026-09-07 CFB calibration map; home field 2.5. Home perspective: negative = home favored. Ours: Army -2.9; market at synthesis: -3.5. Held-out 2024-2025 reconstructions (9,927 FBS games): 46-50% against the spread in every gap bucket, calibrated margin error 12.7 points. No against-the-spread edge at any gap size. Treat the number as context, not as a priced edge.

written before kickoff, frozen at kickoff

Trends

Descriptive context, every line with the games it counts. Filters like these did not hold up as predictors in our testing, so none of this is in the confidence read and none of it is a reason a pick wins. Situational splits look back 3 seasons and need at least 8 decided games to be shown at all. Records against the number and on the total join these once our closing-line history is restored; the straight-up splits are live now.

South Florida
  • won 3 of their last 5 (n=5, 2025 to 2026)
  • 10-2 straight up at home (n=12, 2024 to 2026)
Army
  • won 3 of their last 5 (n=5, 2025 to 2026)
  • 7-1 straight up after a straight up loss (n=8, 2024 to 2025)
The rest of the splits we can compute on this game
South Florida
  • won 7 of their last 10 (n=10, 2025 to 2026)
  • 10-2 straight up in night games (n=12, 2024 to 2026)
  • 8-2 straight up after a straight up loss (n=10, 2024 to 2026)
  • 10-6 straight up in divisional games (n=16, 2024 to 2025)
  • 3-5 straight up in road day games (n=8, 2024 to 2025)
  • 4-6 straight up in day divisional games (n=10, 2024 to 2025)
  • 7-8 straight up in day games (n=15, 2024 to 2025)
  • 6-6 straight up on the road (n=12, 2024 to 2025)
  • 4-4 straight up in road divisional games (n=8, 2024 to 2025)
Army
  • won 7 of their last 10 (n=10, 2025 to 2026)
  • 8-2 straight up in home day games (n=10, 2024 to 2026)
  • 8-2 straight up on the road (n=10, 2024 to 2025)
  • 7-2 straight up in home divisional games (n=9, 2024 to 2025)
  • 10-3 straight up at home (n=13, 2024 to 2026)
  • 15-5 straight up in day games (n=20, 2024 to 2026)
  • 6-2 straight up in road divisional games (n=8, 2024 to 2025)
  • 11-5 straight up in day divisional games (n=16, 2024 to 2025)
  • 13-6 straight up in divisional games (n=19, 2024 to 2025)
  • 5-3 straight up in night games (n=8, 2024 to 2025)

The signals and the work

Members

3 independent signals on this game

The signal tally per side, the totals read, every angle with its sample size, and the line movement from open to now. 3 picks are released free on the slate every week. $24/mo, founder rate.

The two numbers underneath

TeamEL ratingConference
South Florida 0.649 American Athletic
Army 1.042 American Athletic

Rating difference plus 2.5 points of home field is the rating read above. Full board: the power ratings.

Conditions at kickoff

Clear. 73F · wind 4 mph

Provenance: schedule and finals from the Edge Labs database (2026 season); the line is the latest capture for this game with the book named; our number is the EL rating read (in-season once a team has played, preseason before that) plus 2.5 home field, none at neutral sites, and it is context on this page rather than the call. Signals come from the trend engine, each with its real sample; a tier is how decisively the evidence agreed and is never a win probability. Once the game kicks off this page stops computing and reads our pick lock ledger instead: the pick and the spread we were locked at, written once at kickoff, never updated, graded against that same number. Line movement comes from our permanent capture log, one book across both ends and never a capture taken at or after kickoff, so the second number is the last pregame line and after kickoff it is the close; a game the log has captured only once shows no movement rather than an invented one. Weather is the captured forecast for the venue, and the chip appears only when it is worth saying (wind at 12 mph or more, a 50 percent or better chance of rain, or 35F or colder), never on an indoor venue. Injury counts are our latest daily scan, real report rows only, and a team the scan does not cover is left out rather than shown as zero. The write-up is assembled from those same stored rows, never written around them: the case comes from the lock row, the signals from the trend engine with their own samples, the series from our game database from 2013 forward, and the scoring profiles from completed games only, each with the number of games it averages. A section with no data behind it is left out instead of filled in, it refreshes while the game is pregame, and it can never be edited once the game has kicked off. Trends are descriptive only, computed by the same shared module the write-up uses so the two cannot disagree: straight-up splits come from completed games in our database, situational splits look back three seasons and need at least eight decided games, records against the number and on the total arrive with the closing-line restore, and every line carries the games it counts. Filters like these did not hold up as predictors in our testing, so none of them enter the confidence read. The totals block is a read and not a pick: our number is EL CFB Totals v1 (edgelabs.el_cfb_totals, season 2026, model_version v1, docs/el-cfb-totals-v1.md), a registered candidate that loses to the closing total, so it never posts to the board or the record; the market total beside it is the same capture the spread comes from before kickoff and the frozen consensus the model priced against after it, and the gap is measured against whichever number is printed. The totals trends under it are the trend engine's own rows for this game, deduped on the headline, each carrying its sample. On the games the analyst panel works each week (the games our model prices off the market plus the ranked and Power Four games, at most twenty), the pick and the total call are the panel's synthesis: three independent analyst panels, the same evidence pack, their own research, one side each, tiered by how firmly they agreed, never a win probability. A panel majority on a side is what makes a pick; without one the game is a published no-pick, printed as No pick rather than left blank. Research and context, never a guarantee, 21+.