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Gardner-Webb

Runnin' Bulldogs · OVC · FCS
0-12017 · 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, 2017
Per drive

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

Offense−1.62
Defense+1.13allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−1.04
Defense+1.23allowed
Finishing

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

Offense−3.710.0 pts/trip
Defense+1.164.5 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.56
Defense1.36opponents

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, 2017
Made the numbers' call

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

5 of 863%
Win probability given up

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

0.5 ptsper game
0.00 expected wins over 1 game
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 0.00 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 WYOQ2 1:54 4th & 1 at GWEB 33, down 17Punted; the numbers favored going for it (close call)−0.3 pts
  2. at WYOQ2 12:57 4th & 2 at GWEB 48, down 14Punted; the numbers favored going for it (close call)−0.1 pts
  3. at WYOQ4 12:42 4th & 2 at GWEB 37, down 24Punted; the numbers favored going for it (close call)<0.1 pts
Every call this season (8)

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, 2017
0-1vs. 0.0 expectedon par

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
    WYO
What moved it, 2017
−0.5 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−0.02
  • Less the pregame edge, counted before kickoff+0.01
Game by game

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

Season arc, 2017

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

Biggest swings of 2017

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