Edge Labs EDGE LABS Market intelligence
CFB NFL
← The slate
CFB · Week 2 · Sat, Sep 12 · 2:00 PM ET · Scheumann Stadium · FINAL Stony Brook 17, Ball State 41

Stony Brook at Ball State. Our picks: Stony Brook +15.5 (medium). Under 56.5 (low).

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
Stony Brook +15.5
medium LOSS
locked Thu 5:29pm ET
locked +15.5 · closed +13.5
Stony Brook 17, Ball State 41
Total pick
Under 56.5
low LOSS
locked 56.5 · closed 52.5
panel 2-1

Panel reasoning

On the spread

Stony Brook at Ball State, Ball State -15.5. Edge Labs carries no spread number for this game because Stony Brook is unrated FCS, so there is no model gap to lean on; the call is a market-and-news read. FanDuel has moved from -18.5 on 9/6 to -15.5 on 9/10, a three-point drift toward the underdog, while DraftKings has held -14.5 since 9/9. The news supports that move: Ball State managed only 165 total yards and 3 points at Ohio State with first-time starter Keldric Luster completing 18 passes for 89 yards and an interception, and two pass catchers, Coonrod and Talbert, remain questionable. Stony Brook's Quinn Boyd has thrown for 621 yards, 5 touchdowns and 1 interception through two games. Ball State has not lost to an FCS opponent since 2014, and its 56-3 loss to Ohio State likely overstates its true talent gap here, but a raw-talent home cover remains the strongest case against. All three panels took the points. Take Stony Brook +15.5 (FanDuel).

On the total

Under 56.5. FanDuel's total has held 56.5 since 9/6 and DraftKings has held 57.5 since 9/9, no directional move either way. Weather is a non-factor: partly cloudy, roughly 81F, wind near 8 mph, about 24 percent precipitation chance. Ball State's offense produced only 165 yards and 3 points behind a first-time starter, and two pass catchers remain questionable. Edge Labs' totals model projects 54.47 against the 57 market, a 2.5-point gap well below its 12.86-point action threshold, so this is a soft lean, not a model edge. One panel dissented, taking the over on Quinn Boyd's efficient passing and Stony Brook's leaky defense. Under 56.5 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
Stony Brook +15.5 · Ball State -15.5
the spread we locked at, it does not move
Our model number
unrated
the calibrated EL CFB rating number, home field included
Spread gap
both numbers are needed for a gap
Market total
53
consensus of 5 books at the model run, Sep 12, 12:38 PM ET
Our total
54.5
EL CFB Totals v1
Total gap
+1.5
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.

  • Ball State games go UNDER 59% at home (n=58)
    total · under · moderate · n=58
    Multi-season split: Ball State at home landed under 59% of 58 gradable games (2013-2025). A genuine venue tendency, one of several reasons to lean under, not a standalone edge.

The panel

Panel A

Stony Brook +16

Over 56.5

Take Stony Brook +16, the freshest comparison quote found at ScoresAndOdds (-113; underlying book not identified). Edge Labs supplies no spread number because Stony Brook is unrated, so there is no quantified model edge to claim. Boyd’s passing production gives the underdog a credible way to stay competitive or cover late, and its nine-day turnaround provides two additional preparation days. Ball State’s three points against Ohio State deserve substantial opponent adjustment; assuming that performance defines its offense would be a mistake. Stony Brook’s concessions of 41 and 32 points also make a comfortable home victory plausible. Nevertheless, asking Ball State to win by more than two touchdowns requires offensive execution its rebuilt personnel have not yet demonstrated against comparable opposition. The dossier’s FanDuel move from -18.5 to -15.5 already prices some of this concern. Unconfirmed receiving injuries add little independently. This is a modest, price-sensitive underdog position, not evidence that the market missed a major development.

Total. Take over 56.5, displayed by Caliente and ScoresAndOdds. The 54.47 model projection favors under by only 2.03 points at this price, far below its historical error. The under case is credible: Ball State has an inexperienced starting quarterback, its opener produced no touchdown, and Stony Brook faces a step up in defensive personnel. Possible receiving absences would reinforce that argument if confirmed. The over case narrowly wins because Boyd demonstrated efficient passing, Stony Brook has allowed substantial scoring in both games, and Ball State gets an enormous reduction in opponent difficulty. Benign weather offers no meaningful suppression. Stony Brook ran only 64 offensive plays against Lindenwood, so this is an efficiency and matchup argument rather than an assumed tempo surge. Neither recent high totals nor the small model gap warrants strong conviction.

Where our model looks wrong

There is no spread prediction to challenge. The dossier incorrectly labels both Stony Brook games as week 1; their actual dates establish a preparation advantage omitted from its rest fields. The totals model may understate Stony Brook’s present passing offense and overinterpret Ball State’s Ohio State performance. Its documentation also says it sees no weather while its actual calculation subtracts 1.652 points for wind. That is an internal inconsistency, and roughly 8 mph does not justify a strong weather-under thesis.

Panel B

Stony Brook +15.5

Under 57.5

Our model has no number here (Stony Brook is unrated FCS), so this is a market-and-news read. Ball State's offense is genuinely broken: 15.8 ppg in 2025 (4-8), then 165 total yards and 3 points at Ohio State with QB Keldric Luster 18-of-33 for 89 yards and a pick (Yahoo, 9/10). Laying more than two touchdowns with a dysfunctional offense against a competent, high-scoring FCS team is a losing profile. Stony Brook is not a soft FCS body-bag: captain QB Quinn Boyd threw for 323/4 TD and 298/3 total TD in his two games, and Sweitzer already has 17-228-2 (Stony Brook Athletics, 9/3-9/10). FanDuel has moved this from -18.5 (9/6) to -15.5, three points toward the dog, which fits the read that Ball State can't blow anyone out right now. I take the points. Risk: home bounce-back vs a 439-yd/game FCS defense and the raw FBS talent gap could still produce a comfortable cover.

Total. This is a soft lean that stays consistent with the spread thesis: if Ball State's offense remains as limited as it looked in Week 1 (165 yards, 3 points), one side of the scoreboard is capped regardless of Stony Brook's pace, which pulls the total down toward the high 40s/low 50s. Ball State averaged just 15.8 ppg last year and is breaking in a new quarterback. Our totals model at 54.47 also leans under the market 57, though below its own noise threshold. The over case is real, Stony Brook scores in bunches (36 and 34 points) and Ball State is home wanting to erupt against a 439-yd/game FCS defense, so I keep the conviction modest. Weather is a non-factor: low-80s, partly cloudy, ~8 mph wind at a 2pm ET kickoff.

Where our model looks wrong

The spread model produces no number because the FCS side is unrated, and the in-season refit that dropped Ball State's rating from -18.4 (preseason) to -13.07 is driven almost entirely by one 56-3 result against the #1 team, an over-reaction to a single blowout it can't contextualize. It also can't see Ball State's offensive dysfunction and new QB, nor Stony Brook's live passing form, so the number here is close to meaningless; the market and the news carry this one.

Panel C

Stony Brook +15.5

Under 56.5

Our model carries no number here at all (Stony Brook is unrated), so this is a market-and-news read, not a model-vs-market gap. Ball State was shut out offensively in Week 1: 165 total yards, 3 points, and a true-first-start Keldric Luster going 18/34 for 89 yards with a pick against Ohio State. Two of Ball State's pass catchers (TE Coonrod, WR Talbert) are still Questionable with undisclosed injuries as of 9/10, further capping a passing game that has shown nothing yet. Stony Brook, meanwhile, has a real FCS passing attack (Quinn Boyd, 621 yards/5 TD/1 INT through two games) and is 1-1 with a competitive loss to Delaware State. The market itself has moved off its opener: FanDuel's Ball State number fell from -18.5 (9/6) to -15.5 (9/10), a 3-point correction toward the dog, while DraftKings sits lower still at -14.5. That drift, combined with Ball State's offensive line still gelling around several new transfer starters and an unproven QB, argues the market overpriced the talent gap early in the week. Ball State's 11-year streak of not losing to FCS opponents keeps this a lean, not a strong play.

Total. Our totals model reads 54.47 against a 57 market consensus, a 2.5-point gap that sits well below its own 12.86-point action threshold, so this is a soft lean rather than a model-driven edge. Weather is a non-factor: 81-82F, partly cloudy, ~8 mph wind, ~24% precip chance at Scheumann Stadium, nothing that drags scoring down materially. The case for under is Ball State's offense, which managed only 165 total yards and 3 points last week behind a first-time starter, with two pass catchers (Coonrod, Talbert) still questionable heading into this one - a real cap on how much they can add through the air even against a lesser defense. The case against going lower: both defenses have already looked leaky (Ball State conceded 56 to Ohio State; Stony Brook is allowing 36.5 ppg and 439 ypg through two FCS games), which keeps this from being a strong under and argues for staying moderate on confidence rather than pushing higher.

Where our model looks wrong

There's no model number to be wrong here - Stony Brook is unrated, so the spread model is silent on this game entirely, which is itself a gap: Stony Brook is a real, battle-tested FCS offense, not a walkover, and the model has nothing to say about that. Even where the model does carry a number elsewhere, its own holdout testing shows 46-50% ATS with no edge at any gap size, so weight the market's own 3-point drift toward the dog (FanDuel -18.5 to -15.5) well above anything a model number would have added.

The write-up

The case

Stony Brook at Ball State, Ball State -15.5. Edge Labs carries no spread number for this game because Stony Brook is unrated FCS, so there is no model gap to lean on; the call is a market-and-news read. FanDuel has moved from -18.5 on 9/6 to -15.5 on 9/10, a three-point drift toward the underdog, while DraftKings has held -14.5 since 9/9. The news supports that move: Ball State managed only 165 total yards and 3 points at Ohio State with first-time starter Keldric Luster completing 18 passes for 89 yards and an interception, and two pass catchers, Coonrod and Talbert, remain questionable. Stony Brook's Quinn Boyd has thrown for 621 yards, 5 touchdowns and 1 interception through two games. Ball State has not lost to an FCS opponent since 2014, and its 56-3 loss to Ohio State likely overstates its true talent gap here, but a raw-talent home cover remains the strongest case against. All three panels took the points. Take Stony Brook +15.5 (FanDuel).

Confidence: medium

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. Every panel was on this side. Medium 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 56.5 (low)

Under 56.5. FanDuel's total has held 56.5 since 9/6 and DraftKings has held 57.5 since 9/9, no directional move either way. Weather is a non-factor: partly cloudy, roughly 81F, wind near 8 mph, about 24 percent precipitation chance. Ball State's offense produced only 165 yards and 3 points behind a first-time starter, and two pass catchers remain questionable. Edge Labs' totals model projects 54.47 against the 57 market, a 2.5-point gap well below its 12.86-point action threshold, so this is a soft lean, not a model edge. One panel dissented, taking the over on Quinn Boyd's efficient passing and Stony Brook's leaky defense. Under 56.5 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: Ball State null; market at synthesis: -15. 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.

Stony Brook
  • won 3 of their last 5 (n=5, 2025 to 2026)
  • 9-2 straight up in home day games (n=11, 2024 to 2025)
Ball State
  • won 1 of their last 5 (n=5, 2025 to 2026)
  • lost 4 straight
  • 1-14 straight up on the road (n=15, 2024 to 2026)
The rest of the splits we can compute on this game
Stony Brook
  • won 6 of their last 10 (n=10, 2025 to 2026)
  • 7-2 straight up at home after a straight up loss (n=9, 2024 to 2026)
  • 7-2 straight up in day games after a straight up loss (n=9, 2024 to 2025)
  • 10-3 straight up at home (n=13, 2024 to 2026)
  • 14-7 straight up in day games (n=21, 2024 to 2025)
  • 8-4 straight up after a straight up loss (n=12, 2024 to 2026)
  • 5-3 straight up in home divisional games (n=8, 2024 to 2025)
  • 5-8 straight up on the road (n=13, 2024 to 2026)
  • 9-6 straight up in day divisional games (n=15, 2024 to 2025)
  • 9-7 straight up in divisional games (n=16, 2024 to 2025)
  • 5-5 straight up in road day games (n=10, 2024 to 2025)
  • 4-4 straight up in road divisional games (n=8, 2024 to 2025)
Ball State
  • won 3 of their last 10 (n=10, 2025 to 2026)
  • 1-11 straight up in road day games (n=12, 2024 to 2026)
  • 1-9 straight up on the road after a straight up loss (n=10, 2024 to 2026)
  • 1-7 straight up in road divisional games (n=8, 2024 to 2025)
  • 6-2 straight up at home after a straight up loss (n=8, 2024 to 2025)
  • 6-14 straight up in day games (n=20, 2024 to 2026)
  • 4-9 straight up in day divisional games (n=13, 2024 to 2025)
  • 5-11 straight up in divisional games (n=16, 2024 to 2025)
  • 5-3 straight up in home day games (n=8, 2024 to 2025)
  • 7-11 straight up after a straight up loss (n=18, 2024 to 2026)
  • 6-9 straight up in day games after a straight up loss (n=15, 2024 to 2026)
  • 6-4 straight up at home (n=10, 2024 to 2025)
  • 5-7 straight up in divisional games after a straight up loss (n=12, 2024 to 2025)
  • 4-4 straight up in home divisional games (n=8, 2024 to 2025)

The signals and the work

Members

2 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
Stony Brook unrated CAA
Ball State -13.071 Mid-American

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

Conditions at kickoff

Partially cloudy. 76F · wind 8 mph · 33% chance of precipitation

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+.