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Gardner-Webb

Runnin' Bulldogs · OVC · FCS
0-22019 · vs FBS opponents

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, 2019
Per drive

Points over expected per drive, from where each drive started.

Offense−1.24
Defense+1.14allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−1.45
Defense+1.07allowed
Finishing

Points over expected per trip inside the opponent's 40.

Offense+0.984.7 pts/trip
Defense+1.184.9 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.93
Defense1.38opponents

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 Gardner-Webb 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.

Game by game
Offense: points over expected per drive
Defense: points kept off the board per drive

Bars above the line: better than expected for Gardner-Webb.

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, 2019
Made the numbers' call

Calls that matched the option with the best modeled win probability.

14 of 1878%
Win probability given up

Summed over every call that differed, in points of win probability.

0.3 ptsper game
0.01 expected wins over 2 games
When going was clearly right

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 Gardner-Webb's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 0 clear-cut ones account for 0.00 of the 0.01 expected wins. The model sees the situation, not the injury report, so a call it disagrees with can still be right.

Costliest calls against the numbers
  1. at CLTQ2 1:38 4th & 4 at CLT 41, down 21Punted; the numbers favored going for it (close call)−0.3 pts
  2. at CLTQ3 9:33 4th & 9 at CLT 23, down 21Went for it; the numbers favored a field goal (close call)−0.2 pts
  3. at CLTQ2 15:00 4th & 2 at GWEB 19, down 7Punted; the numbers favored going for it (close call)−0.1 pts
  4. at CLTQ4 10:40 4th & 4 at GWEB 10, down 28Punted; the numbers favored going for it (close call)<0.1 pts
Every call this season (18)
After touchdowns: kick or go for two?
Made the numbers' call

Tries that matched the option with the better modeled win probability.

4 of 580%
Win probability given up

Summed over every try that differed, in points of win probability.

<0.1 ptsthis season
When two was clearly right

Went for two when it beat kicking by a point or more.

-
Never went for two
Costliest tries against the numbers
  1. at CLTQ4 4:19 Touchdown, down 22 before the tryKicked; the numbers favored going for two (close call)<0.1 pts

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, 2019
0-2vs. 0.1 expected−0.1 wins

Expected wins adds up Gardner-Webb's chance of winning each game as the model saw it at kickoff - a 70% favorite counts 0.7.

  1. L
    CLT
  2. L
    ECU
What moved it, 2019
−0.9 wins
before kickoff: being favored, vs. coin flips
0.0 wins
on the field, after the opening snap

Every game starts at Gardner-Webb'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−0.10
  • Less the pregame edge, counted before kickoff+0.05
Game by game

Points of win probability, from Gardner-Webb's side.

Season arc, 2019

Every completed game this season, in order - each tile is Gardner-Webb's own win-probability curve.

Biggest swings of 2019

The largest single-play change in Gardner-Webb's win probability this season - one snap that moved the outcome the most.

Stolen wins

Gardner-Webb'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.

No games rated yet.
Let it slip

Gardner-Webb'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

Gardner-Webb's leaguewide Elo rating, tracked like a stock price - built from game results and margins, not the model's own win-probability predictions.

View full history ›
$78.04+0.6% over the past year
Series & rivalries

Gardner-Webb's most-played opponents across the whole archive - open one for the full head-to-head history.

YardLine · model v10Model estimate - not betting advice · Data provided by CollegeFootballData.com