Georgia Tech
ACC · 2-5
at
Pitt
ACC · 5-3
Sat 31 Oct · 7:30 PM ET · ESPN2 · Acrisure Stadium
Rest GT 7 days, PITT 7 days · Travel GT 520 mi
Market
PITT −7.5
total 54.5 · spread opened PITT −7.0, moved +0.5 toward PITT
Atlas projectsAtlas
22.1–34.2
GT–PITT · total 56.3
Difference
+4.6
on the spread · total +1.8
C76/100
Mixed record.

A wide disagreement of 4.6 points.

Across five seasons, cards this far from the market claimed 62% accuracy and delivered 48%. That gap is where this grade comes from.

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
Pitt−7.0−7.5+0.5
Georgia Tech+7.0+7.5−0.5
Price−110−108—

The spread has moved 0.5 toward Pitt and the total has moved 2.0 up since the open.

TotalOpenCurrentMove
Game total52.554.5+2.0
Price (over)−110−105—
Moneyline · Georgia Tech +205 → +245 Moneyline · Pitt −250 → −305 De-vigged, the market gives Pitt a 72.2% 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
22.1 – 34.2
Georgia Tech – Pitt
Projected spread
PITT −12.1
market −7.5
Projected total
56.3
market 54.5 · 80% range 35–77
Pitt win probability
78.3%
from the score grid
Over probability
51.6%
at the current total of 54.5
Most likely score
24–31
1.0% 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
SpreadPITT −12.1PITT −7.5+4.6
Total56.354.5+1.8
Pitt win probability78.3%72.2%+6.1 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 4-6 band, where cards have claimed 62% accuracy and delivered 48% across 634 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: Georgia Tech 7 games, Pitt 8 games. Ranks are among 138 FBS teams, 1st the best; the crest marks which side ranks better on each line.

Georgia Tech offensevs Pitt defense
26.782nd
Points per gameedge Pitt
20.943rd
6.5034th
Yards per playedge Georgia Tech
5.5364th
123.6114th
Rushing yards per gameedge Pitt
72.23rd
276.030th
Passing yards per gameedge Georgia Tech
269.5126th
5.626th
20+ yard plays per gameedge Georgia Tech
4.484th
2.399th
Sacks per gameedge Pitt
2.165th
35%114th
Third-down conversion rateedge Pitt
41%90th
47%118th
Red-zone touchdown rateedge Pitt
59%89th
Pitt offensevs Georgia Tech defense
31.649th
Points per gameedge Pitt
30.3114th
6.3841st
Yards per playedge Pitt
6.1098th
153.274th
Rushing yards per gameedge Pitt
213.6132nd
290.017th
Passing yards per gameedge Pitt
196.136th
5.238th
20+ yard plays per gameedge Pitt
5.1122nd
1.228th
Sacks per gameedge Pitt
1.793rd
42%66th
Third-down conversion rateedge Pitt
45%121st
55%95th
Red-zone touchdown rateedge Georgia Tech
50%41st
Georgia Techvs Pitt
Situational
−1.14133rd
Turnover margin per gameedge Pitt
+0.3847th
61.4113th most
Plays per game
69.530th 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)PITT by 14.284%Oct 28
SP+PITT by 11.5—Oct 29
EloPITT by 9.9—Oct 29
AtlasPITT by 12.178%live
MarketPITT by 7.5—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
C76

Mixed card

The disagreement is wide enough that the model's historical claim runs well ahead of what it delivered.

Calibration 30/45
Market agreement 16/25
Card conditions 15/15
Data completeness 15/15

Atlas sits 4.6 points from the market. The calibration curve, fitted to every completed season out of sample, expects cards at that distance to fall 11.6% short of what they claim — which is where the calibration component above comes from.

The season is mature enough for the team profiles to have settled, and the market has not moved much since it opened.

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 PITT +7.1 pts

Atlas rates Pitt's defense at +3.7 points a game against FBS average and Georgia Tech's at -3.3, opponent-adjusted, after 7 games this season.

Georgia TechPitt
Pace and possessions 112 plays · 61st percentile

A combined 112 plays per game — the 61st percentile of this season's games. A fast game, which lifts the projected total.

fewer playsmore plays
Home advantage PITT +2.6 pts

Playing at home is worth 2.6 points in this season's model, fitted, not assumed.

Georgia TechPitt
Offense, in points PITT +2.0 pts

Atlas rates Pitt's offense at +2.5 points a game against FBS average and Georgia Tech's at +0.5, opponent-adjusted, after 7 games this season.

Georgia TechPitt
Market movement how far the market has moved since the number opened, and which way

Total, open to current

55.0 53.5 52.0 Atlas 56.3 — beyond this range open 52.5 now 54.5
MeasureValue
Opening number52.5
Current number54.5
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 card0-110+ claimed realized

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

This band, five seasons

MeasureThis bandAll cards
Realized accuracy48.3%49.2%
Claimed accuracy61.9%58.0%
Calibration gap−13.5 pts−8.8 pts
Seasons above 50%1 of 5—
Games measured6343,864
Read the gap, not the claim. Atlas's raw confidence numbers run high — a claimed 62% has historically delivered 48%. 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.