#19SMU
ACC · 6-1
at
Syracuse
ACC · 3-4
Sat 31 Oct · 12:00 PM ET · ESPN2 · JMA Wireless Dome
Rest SMU 7 days, SYR 7 days · Travel SMU 1,322 mi
Market
SMU −10.5
total 57.5 · spread opened SMU −12.5, moved +2.0 toward SYR
Atlas projectsAtlas
34.2–23.4
SMU–SYR · total 57.7
Difference
−0.3
on the spread · total +0.2
B89/100
Historically sound.

A small disagreement of 0.3 points.

Across five seasons, cards this close to the market claimed 52% accuracy and delivered 49%. The claim runs a little ahead of the delivery.

How much weight this card's information deserves — not a recommendation.

Why

what the model is reading

Be careful about

  • One book is quoting this game, so the market number has no depth behind it and may move sharply.

Projection built Oct 29, 2026 4:14 AM ETMarket updated Oct 29, 2026 4:14 AM ETData status

New to Atlas? What a card is, and what a grade means

Market detail where the line opened, where it is now, and the prices
SpreadOpenCurrentMove
SMU−12.5−10.5+2.0
Syracuse+12.5+10.5−2.0
Price−105−115—

The spread has moved 2.0 toward Syracuse and the total has moved 2.0 up since the open.

TotalOpenCurrentMove
Game total55.557.5+2.0
Price (over)−102−112—
Moneyline · SMU −455 → −380 Moneyline · Syracuse +350 → +300 De-vigged, the market gives Syracuse a 24.0% chance. Books quoting: 1.

DraftKings · 1 book quoting

Projection detail the projected score, the chance of winning, the total's range and the most likely exact score
Projected score
34.2 – 23.4
SMU – Syracuse
Projected spread
SMU −10.8
market −10.5
Projected total
57.7
market 57.5 · 80% range 37–79
SMU win probability
73.8%
from the score grid
Over probability
50.1%
at the current total of 57.5
Most likely score
31–24
0.9% of the grid — one cell of 6,400
How this number is made. Every FBS team starts the season at a preseason expectation built from last season's ratings, roster talent, recruiting, returning production and the coaching situation. After every game a filter updates each team's offense and defense, opponent-adjusted, and the two teams' numbers meet here with the home advantage. The total adds the teams' pace and the wind. The market is never an input; it is shown so you can see where Atlas differs and read why.

Atlas difference

MeasureAtlas modelMarketDifference
SpreadSMU −10.8SMU −10.5−0.3
Total57.757.5+0.2
Syracuse win probability26.2%24.0%+2.2 pts
A difference is not an edge. Atlas has measured what happens at every size of disagreement, and the gap between what the model claims and what it delivers widens as the disagreement grows. This game sits in the 0-1 band, where cards have claimed 52% accuracy and delivered 49% across 853 games.
Matchup how each offense compares with the defense it faces, season to date, ranked among 138 FBS teams

Season to date through 24 October: SMU 7 games, Syracuse 7 games. Ranks are among 138 FBS teams, 1st the best; the crest marks which side ranks better on each line.

SMU offensevs Syracuse defense
36.420th
Points per gameedge SMU
26.393rd
7.0511th
Yards per playedge SMU
5.5969th
154.172nd
Rushing yards per gameedge Syracuse
139.065th
325.37th
Passing yards per gameedge SMU
209.454th
6.95th
20+ yard plays per gameedge SMU
4.691st
1.122nd
Sacks per gameedge SMU
2.436th
44%45th
Third-down conversion rateedge SMU
38%63rd
69%27th
Red-zone touchdown rateedge SMU
65%111th
Syracuse offensevs SMU defense
31.650th
Points per gameedge SMU
21.147th
5.7990th
Yards per playedge SMU
5.1233rd
169.055th
Rushing yards per gameedge SMU
131.951st
295.112th
Passing yards per gameedge Syracuse
183.119th
6.39th
20+ yard plays per gameedge Syracuse
3.745th
2.4106th
Sacks per gameedge SMU
3.010th
44%39th
Third-down conversion rateedge SMU
29%5th
58%74th
Red-zone touchdown rateedge Syracuse
63%104th
SMUvs Syracuse
Situational
−0.43103rd
Turnover margin per gameedge Syracuse
−0.2993rd
68.046th most
Plays per game
80.11st most

Figures come from completed games only, so every one was known before kickoff. They are raw, not adjusted for opponents - All drivers has Atlas's adjusted view. College counts sack yardage as rushing, as the NCAA does.

Other models what FPI, SP+ and Elo say about this game, beside Atlas and the market
ModelMarginWinAs of
FPI (ESPN)SMU by 8.172%Oct 28
SP+SMU by 13.7—Oct 29
EloSMU by 15.4—Oct 29
AtlasSMU by 10.874%live
MarketSMU by 10.5—live

Each model's number for this game as its source published it before kickoff; Win is the favored side's chance to win, where the model gives one. FPI's margin and chance are ESPN's own. SP+ is the difference in the two teams' ratings, plus 2.5 for a home side; Elo is the difference in ratings at 24 points a point, plus 2.6 for a home side, as Atlas measured it on past seasons. None of these is an input to Atlas's number, and none is here to settle anything: they show where Atlas sits among other models.

How this grade was computed the four things that set the letter, out of a hundred
B89

Solid card

A moderate disagreement in a band where the model's claim and its realized accuracy stay reasonably close.

Calibration 40/45
Market agreement 24/25
Card conditions 10/15
Data completeness 15/15

Atlas sits 0.3 points from the market. The calibration curve, fitted to every completed season out of sample, expects cards at that distance to fall 4.3% short of what they claim — which is where the calibration component above comes from.

The total has moved 2.0 points since it opened. Cards on a market that has moved have calibrated worse in five of six seasons.

The grade describes how much weight the information deserves. It says nothing about which side of a market anyone should take, and Atlas does not publish that. How grades are computed.

All drivers all 4 things the model is reading, and how each team ranks against the rest of the country
Defense, in points SMU +7.2 pts

Atlas rates SMU's defense at +5.4 points a game against FBS average and Syracuse's at -1.8, opponent-adjusted, after 6 games this season.

SMUSyracuse
Offense, in points SMU +6.2 pts

Atlas rates SMU's offense at +6.1 points a game against FBS average and Syracuse's at -0.1, opponent-adjusted, after 6 games this season.

SMUSyracuse
Pace and possessions 122 plays · 88th percentile

A combined 122 plays per game — the 88th percentile of this season's games. A fast game, which lifts the projected total.

fewer playsmore plays
Pace and wind, on the total +2.9 pts

The teams' pace moves the projected total by +1.9 and the wind by +1.0, against an average game.

lower totalhigher total
Market movement how far the market has moved since the number opened, and which way

Total, open to current

58.0 56.5 55.0 Atlas 57.7 open 55.5 now 57.5
MeasureValue
Opening number55.5
Current number57.5
Market directionup 2.0
Atlas directionup

Atlas and the market have moved the same way on this total.

Two findings that are not in conflict

Atlas has measured disagreement twice, against two different reference points, and they say different things.

Measured againstWhat it predicts
The closing numberthe model's own failure — so a large difference lowers the grade
The opening numberwhich way the line moves — tracked publicly, not graded

A model far from the close is wrong; a model far from the open is early. The second finding is tracked in the open closing-line record and is deliberately kept out of the grade.

Reliability record what Atlas claimed and what it delivered, across the seasons it never saw while being built

Calibration by disagreement band

82% 64% 45% this card10+ claimed realized

Two series, labeled directly. The widening gap is why Atlas grades large disagreements down.

This band, five seasons

MeasureThis bandAll cards
Realized accuracy49.5%49.2%
Claimed accuracy52.1%58.0%
Calibration gap−2.7 pts−8.8 pts
Seasons above 50%1 of 5—
Games measured8533,864
Read the gap, not the claim. Atlas's raw confidence numbers run high — a claimed 52% has historically delivered 49%. The grade already corrects for this. The claim is shown so the correction is visible rather than hidden.
What this card is. Research, analytics and market context. Atlas does not publish selections, does not size anything and does not project returns. Every figure is computed out of sample from a point-in-time database: nothing attached to a game uses information that did not exist before kickoff.