Georgia Tech
- SP+
- +0.3 (#65)
- FPI
- +3.0 (#52)
- SRS
- +2.1 (#54)
- Resume
- #63
Next game
Advanced stats
CollegeFootballData's play-by-play measures of how efficient and explosive a team was, placed against every other FBS team. How it works →
Profile vs. FBS, 2023
Farther out is better on every spoke. Dashed ring: the FBS median.
- EPA per playExpected points added on an average snap: how much each play moved the scoring odds.
- Success rateShare of snaps that stayed on schedule: half the yards needed on 1st down, 70% on 2nd, all of them on 3rd or 4th.
- ExplosivenessAverage EPA on the successful snaps: how big the good plays were.
- Rushing EPAEPA per designed run.
- Passing EPAEPA per pass play.
- Standard downsSuccess rate on downs where either a run or a pass makes sense, like 1st and 10 or 3rd and 2.
- Passing downsSuccess rate on downs that all but force a pass, like 2nd and 8 or longer, or 3rd and 5 or longer.
- Line yardsRushing yards per carry credited to the offensive line, weighting the first few yards most.
- Stuff rateShare of runs stopped at or behind the line of scrimmage.
- HavocShare of snaps with a tackle for loss, sack, forced fumble, interception or pass breakup.
Percentiles among the 133 FBS teams this season, where higher is better for the offense and the defense alike (a defense's numbers are what it allowed). The line in each bar is the FBS median. Garbage time excluded. Source: CollegeFootballData.
Expected points
YardLine's expected-points model values every snap by what a drive from that spot is worth on average, so a drive can be judged against where it started. How it works →
Drives vs. expectation, 2023
Points over expected per drive, from where each drive started.
Per drive against an average FBS opponent, neutral field.
Points over expected per trip inside the opponent's 40.
Average expected points where drives started.
Every snap has an expected-points value: what a drive from that spot, down and distance is worth on average. A drive over expected beat its starting spot; defense counts what Georgia Tech allowed, so lower is better. The adjusted number fits every team against the opponents it actually played, so it leans toward average early in a season. Ranks are among FBS teams.
Game by game
Bars above the line: better than expected for Georgia Tech.
Players
YardLine's player model credits every play's value to the players involved, so each one's season can be measured in wins above a typical backup. How it works →
Players, 2023
Quarterback is the most valuable starting slot by a wide margin: the gap between a top-decile and a median FBS quarterback is about twice the gap at any other position.
- Haynes KingQB370 plays · +0.215 pts/play · 48th of 250 QBs1.49WAR0.79 to 2.21
- Jamal HaynesRB136 plays · +0.110 pts/play · 77th of 383 RBs0.28WAR0.17 to 0.38
- Dontae SmithRB82 plays · +0.144 pts/play · 120th of 383 RBs0.22WAR0.16 to 0.29
- Eric Singleton Jr.WR35 plays · +0.163 pts/play · 172nd of 457 WRs0.11WAR0.04 to 0.18
- Aidan BirrPK14 plays · +0.356 pts/play · 42nd of 113 kickers0.09WAR0.06 to 0.12
- Malik RutherfordWR34 plays · +0.105 pts/play · 240th of 457 WRs0.07WAR−0.01 to 0.14
- Trey CooleyRB36 plays · +0.090 pts/play · 282nd of 383 RBs0.06WAR0.04 to 0.08
- David ShanahanP37 plays · +0.087 pts/play · 78th of 103 punters0.06WAR−0.03 to 0.14
Every player (11)
- Dylan LeonardTE10 plays · +0.181 pts/play · 159th of 212 TEs0.03WAR0.01 to 0.05
- Zach PyronQB5 plays · +0.337 pts/play · 234th of 250 QBs0.03WAR0.01 to 0.05
- Luke BensonTE7 plays · +0.097 pts/play · 198th of 212 TEs0.01WAR0.00 to 0.03
By position group, against FBS
Linemen and defenders are valued as units, in points per game against the median FBS unit, because play-by-play doesn't say who was on the field. Players are valued against a replacement-level backup, so the two aren't added together.
Wins above replacement credits each play's expected points to the players involved, adjusted for the opponent, and compares Georgia Tech's players with a typical backup; 53 points make a win. Only snaps while the game was in doubt count, so a starter on a team that blows opponents out plays fewer of them: read value per play beside WAR. The line under each player (or the range on a phone) is the 90% interval. Ranks are among FBS teams and players. How this works
Transfer portal, 2023
16 players transferred in and 20 out. WAR is each one's 2022 season, before the move. Every team's portal
In 2023, the arrivals have added 1.55 WAR at Georgia Tech and the departures 0.81 wherever they went.
- Haynes KingQB · 3★from Texas A&M0.221.49
- Trevion CooleyRB · 3★from Louisville0.150.06
The other 14
- Abdul JannehWR · 3★from Duquesne--
- Andre White Jr.LB · 3★from Texas A&M--
- Austin DeanLB · 3★from Rutgers--
- Braelen OliverLB · 3★from Minnesota--
- Brett SeitherTE · 3★from Georgia--
- Chase LaneWR · 3★from Texas A&M--
- Christian LearyWR · 3★from Alabama--
- Dominick BlaylockWR · 3★from Georgia--
- Eddie KellyDL · 3★from South Florida--
- Etinosa ReubenDL · 3★from Clemson--
- Jackson LongTE · 3★from South Florida--
- Jordan BrownIOL · 3★from Charlotte--
- Justin BrownS · 3★from Mississippi State--
- Omar DanielsCB · 3★from Kansas State--
- Jeff SimsQB · 4★to Nebraska0.700.27
- Nate McCollumWR · 3★to North Carolina0.110.04
- Dylan McDuffieRB · 3★to Kansas0.05-
- Taisun PhommachanhQB · 2★to Massachusetts-0.50
The other 16
- Antonio MartinRB · 4★to undecided--
- Zamari WaltonCB · 4★to Ole Miss--
- Akelo StoneDL · 3★to Ole Miss--
- Ben PostmaTE · 3★to undecided--
- Demetrius KnightLB · 3★to Charlotte--
- Derrik AllenS · 3★to North Carolina--
- Grey CarrollEDGE · 3★to Liberty--
- Jalen HuffS · 3★to Florida Atlantic--
- Jeremiah SmithS · 3★to undecided--
- K.J. MilesDL · 3★to Temple--
- Kalani NorrisWR · 3★to Middle Tennessee--
- Kenny BennettCB · 3★to undecided--
- Khatavian FranksLB · 3★to Duquesne--
- Paula VaipuluIOL · 3★to North Texas--
- RJ AdamsIOL · 3★to Lackawanna College--
- Ryan KingWR · 3★to East Carolina--
Only quarterbacks, skill players and specialists have a WAR of their own, so they make up these totals; linemen and defenders count in the moves but add none. 2022 is the player's season at his old school, 2023 his season after the move. A dash means no FBS snaps that season. Rosters tie CFBD's portal entries to players, which works for about 19 in 20 skill-position moves.
Talent and roster
How much talent the roster had, by recruiting ratings, and how much of it showed up on the field, against every other FBS team. How it works →
What it had and what it did, 2023
- Roster talent: 711, 36th of 130 in FBSRoster talent247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
- Recruiting: 195, 42nd of 130 in FBSRecruitingAverage 247Sports class score over this season's class and the three before it.
- Returning production: 37%, 96th of 128 in FBSReturning productionShare of last season's production (expected points added) by players still on the roster.
- SP+ rating: +0.3, 64th of 130 in FBSSP+ ratingThe result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
Ranks and bars among the 130 FBS teams with a talent rating this season, best first; the line in each bar is the FBS median.
Talent conversion
Georgia Tech's SP+ of +0.3 is 5.1 points below the +5.4 its roster talent predicts, 88th of 130 in FBS.
The same comparison on each side of the ball, positive is better for both.
Conversion by season
Fourth downs
YardLine's fourth-down model values going for it, kicking and punting on every real fourth down, so each call can be checked against the numbers. How it works →
Fourth-down calls vs. the numbers, 2023
Calls that matched the option with the best modeled win probability.
Summed over every call that differed, in points of win probability.
Went for it when going beat every other option by a point or more.
Each real fourth down is valued three ways (go for it, kick, punt) from the score, clock and field position before the snap, using league-wide odds rather than Georgia Tech's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 2 clear-cut ones account for 0.04 of the 0.08 expected wins. The model sees the situation, not the injury report, so a call it disagrees with can still be right. Ranks are among FBS teams; 1st gave up the least.
Costliest calls against the numbers
- at UCFQ3 12:07 4th & 1 at UCF 12, tiedKicked a field goal; the numbers favored going for it−2.5 pts
- at MIAQ4 12:11 4th & 4 at MIA 9, up 4Kicked a field goal; the numbers favored going for it−1.4 pts
- at MISSQ4 10:37 4th & 8 at MISS 15, down 14Went for it; the numbers favored a field goal (close call)−0.9 pts
- at MISSQ3 8:00 4th & 7 at GT 28, down 14Went for it; the numbers favored punting (close call)−0.6 pts
- at UVAQ3 1:53 4th & 4 at UVA 43, up 21Punted; the numbers favored going for it (close call)−0.5 pts
- at MISSQ2 1:13 4th & 3 at MISS 5, down 10Kicked a field goal; the numbers favored going for it (close call)−0.5 pts
- vs UGAQ1 0:35 4th & 1 at UGA 8, tiedKicked a field goal; the numbers favored going for it (close call)−0.4 pts
- vs BGSUQ2 7:19 4th & 10 at GT 47, up 4Went for it; the numbers favored punting (close call)−0.3 pts
Every call this season (87)
- Q1 6:274th & 5 at MISS 25, down 3 · Kicked a field goalClose call
- Q2 12:374th & 2 at MISS 2, down 10 · Went for itAgreed
- Q2 1:134th & 3 at MISS 5, down 10 · Kicked a field goalClose call
- Q3 12:124th & 17 at GT 33, down 7 · PuntedAgreed
- Q3 8:004th & 7 at GT 28, down 14 · Went for itClose call
- Q4 10:374th & 8 at MISS 15, down 14 · Went for itClose call
- Q4 6:524th & 7 at GT 28, down 10 · PuntedAgreed
- Q4 4:284th & 2 at GT 33, down 17 · Went for itClose call
- Q4 2:534th & 1 at GT 34, down 24 · Went for itClose call
- Q1 13:534th & 1 at GT 32, tied · PuntedClose call
- Q2 4:014th & 5 at GT 32, up 11 · PuntedAgreed
- Q2 3:074th & 8 at WAKE 9, up 11 · Kicked a field goalAgreed
- Q2 0:104th & 16 at WAKE 31, up 14 · Kicked a field goalAgreed
- Q3 6:254th & 12 at GT 49, up 11 · PuntedAgreed
- Q4 14:504th & 6 at WAKE 35, up 11 · Went for itAgreed
- Q4 10:474th & 10 at WAKE 10, up 11 · Kicked a field goalAgreed
- Q4 4:014th & 3 at GT 32, up 7 · PuntedAgreed
- Q1 14:104th & 9 at GT 26, tied · PuntedAgreed
- Q1 7:144th & 4 at MIA 49, tied · PuntedClose call
- Q1 1:294th & 3 at GT 32, tied · PuntedAgreed
- Q2 1:324th & 7 at GT 28, tied · PuntedAgreed
- Q3 10:424th & 11 at GT 12, down 3 · PuntedAgreed
- Q4 12:114th & 4 at MIA 9, up 4 · Kicked a field goal−1.4 pts
- Q4 5:414th & 15 at GT 20, down 3 · PuntedAgreed
- Q1 13:154th & 11 at GT 41, tied · PuntedAgreed
- Q1 11:024th & 4 at BC 48, tied · PuntedClose call
- Q2 14:404th & 7 at GT 44, down 3 · PuntedAgreed
- Q2 6:024th & 11 at BC 29, down 3 · Kicked a field goalAgreed
- Q3 7:074th & 8 at GT 31, tied · PuntedAgreed
- Q4 11:534th & 8 at BC 47, down 1 · PuntedAgreed
- Q4 6:484th & 4 at GT 31, down 15 · Went for itAgreed
- Q1 11:214th & 3 at GT 18, tied · PuntedClose call
- Q1 8:304th & 6 at UVA 35, down 7 · Went for itAgreed
- Q1 5:264th & 7 at UVA 24, down 7 · Kicked a field goalAgreed
- Q2 5:484th & 14 at UVA 43, up 3 · PuntedAgreed
- Q3 7:404th & 15 at UVA 43, up 21 · PuntedAgreed
- Q3 1:534th & 4 at UVA 43, up 21 · PuntedClose call
- Q4 0:324th & 6 at GT 40, up 28 · PuntedAgreed
- Q1 14:064th & 2 at GT 33, tied · PuntedClose call
- Q1 10:204th & 12 at GT 31, tied · PuntedAgreed
- Q1 10:204th & 12 at GT 31, tied · PuntedAgreed
- Q2 10:294th & 23 at GT 12, tied · PuntedAgreed
- Q2 5:194th & 13 at CLEM 38, down 7 · PuntedClose call
- Q3 10:384th & 11 at GT 19, down 14 · PuntedAgreed
- Q3 5:014th & 4 at GT 31, down 21 · PuntedAgreed
- Q4 14:224th & 7 at GT 28, down 28 · Went for itClose call
- Q4 12:464th & 10 at GT 36, down 28 · Went for itClose call
- Q4 4:454th & 5 at GT 38, down 28 · Went for itClose call
- Q1 13:504th & 6 at GT 29, tied · PuntedAgreed
- Q1 0:354th & 1 at UGA 8, tied · Kicked a field goalClose call
- Q2 12:404th & 1 at GT 34, down 4 · Went for itAgreed
- Q2 6:064th & 10 at UGA 28, down 4 · Kicked a field goalAgreed
- Q2 0:004th & 15 at UGA 32, down 8 · Kicked a field goalAgreed
- Q3 11:004th & 14 at GT 40, down 8 · PuntedAgreed
- Q3 2:564th & 7 at UGA 45, down 11 · Went for itClose call
- Q4 12:134th & 20 at UGA 23, down 18 · Kicked a field goalAgreed
- Q4 8:244th & 1 at UGA 15, down 15 · Went for itAgreed
- Q1 11:074th & 11 at GT 43, down 7 · PuntedAgreed
- Q1 4:594th & 15 at GT 25, down 14 · PuntedAgreed
- Q2 14:174th & 7 at UCF 19, down 14 · Kicked a field goalAgreed
- Q3 12:074th & 1 at UCF 12, tied · Kicked a field goal−2.5 pts
- Q4 13:374th & 1 at UCF 1, up 3 · Went for itAgreed
- Q4 4:524th & 11 at UCF 21, up 10 · Kicked a field goalAgreed
- Q4 1:344th & 6 at GT 31, up 13 · PuntedAgreed
After touchdowns: kick or go for two?
Tries that matched the option with the better modeled win probability.
Summed over every try that differed, in points of win probability.
Went for two when it beat kicking by a point or more.
Costliest tries against the numbers
Win probability
YardLine's model estimates each team's chance of winning before kickoff and again after every play, from the score, clock, down, distance and field position. How it works →
Record vs. expectation, 2023
21st of 133 FBS teams at beating the model's pregame expectations
Expected wins adds up Georgia Tech's chance of winning each game as the model saw it at kickoff - a 70% favorite counts 0.7.
What moved it, 2023
Every game starts at Georgia Tech's pregame chance; everything after that is the field. The model's own breakdown of each game's final play splits the on-field part by what drove it, and the parts add up exactly. How it works →
- Scoreboard+0.95
- Possession & field position+0.05
- Clock+0.01
- Timeouts+0.04
- Other+0.01
- Less the pregame edge, counted before kickoff+0.85
Game by game
- LOUL 34-39 vs LOU30% → 34%Before kickoff −20 · On the field +5: Scoreboard −28, Possession & field position +4
- SCSTW 48-13 vs SCST99% → 100%Before kickoff +49 · On the field +1: Scoreboard +2
- MISSL 23-48 at MISS11% → 0%Before kickoff −39 · On the field −11: Scoreboard −14, Clock −1
- WAKEW 30-16 at WAKE39% → 99%Before kickoff −11 · On the field +60: Scoreboard +59, Clock +3
- BGSUL 27-38 vs BGSU93% → 3%Before kickoff +43 · On the field −90: Scoreboard −56, Clock −3
- MIAW 23-20 at MIA8% → 80%Before kickoff −42 · On the field +72: Scoreboard +33, Clock +2
- BCL 23-38 vs BC65% → 1%Before kickoff +15 · On the field −64: Scoreboard −59, Clock −3
- UNCW 46-42 vs UNC17% → 96%Before kickoff −33 · On the field +79: Scoreboard +41, Timeouts +4
- UVAW 45-17 at UVA47% → 100%Before kickoff −3 · On the field +53: Scoreboard +54
- CLEML 21-42 at CLEM12% → 0%Before kickoff −38 · On the field −11: Scoreboard −16
- SYRW 31-22 vs SYR64% → 96%Before kickoff +14 · On the field +32: Scoreboard +29, Timeouts +1
- UGAL 23-31 vs UGA5% → 2%Before kickoff −45 · On the field −3: Scoreboard −13, Clock −1
- UCFW 30-17 at UCF30% → 99%Before kickoff −20 · On the field +69: Scoreboard +61, Clock +3
Points of win probability, from Georgia Tech's side.
Closest call
GT 28-27 VT (2022) - Georgia Tech dropped to a 3.3% win probability before pulling it out.
Season arc, 2023
Every completed game this season, in order - each tile is Georgia Tech's own win-probability curve.
Biggest swings of 2023
The largest single-play change in Georgia Tech's win probability this season - one snap that moved the outcome the most.
Stolen wins
Georgia Tech's own lowest win probability at any point in a game it went on to win, across the whole archive - the deepest holes it climbed out of.
Let it slip
Georgia Tech's own highest win probability at any point in a game it went on to lose, across the whole archive - the biggest leads it didn't hold.
Stock & rivalries
Stock
Georgia Tech's leaguewide Elo rating, tracked like a stock price - built from game results and margins, not the model's own win-probability predictions.
Series & rivalries
Georgia Tech's most-played opponents across the whole archive - open one for the full head-to-head history.