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VMI

Keydets · Southern · FCS
0-12015 · 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, 2015
Per drive

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

Offense+1.26
Defense+1.14allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−0.70
Defense+1.19allowed
Finishing

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

Offense+1.775.2 pts/trip
Defense+1.104.6 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.66
Defense1.89opponents

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 VMI 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 VMI.

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, 2015
Made the numbers' call

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

5 of 1050%
Win probability given up

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

1.1 ptsper game
0.01 expected wins over 1 game
When going was clearly right

Went for it when going beat every other option by a point or more.

1 of 1100%

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 VMI'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 BALLQ2 15:00 4th & 2 at VMI 20, down 3Punted; the numbers favored going for it (close call)−0.4 pts
  2. at BALLQ4 4:55 4th & 6 at BALL 15, down 17Went for it; the numbers favored a field goal (close call)−0.4 pts
  3. at BALLQ1 15:00 4th & 1 at VMI 37, tiedPunted; the numbers favored going for it (close call)−0.1 pts
  4. at BALLQ1 8:10 4th & 2 at VMI 35, down 3Punted; the numbers favored going for it (close call)−0.1 pts
  5. at BALLQ4 7:41 4th & 3 at VMI 32, down 17Went for it; the numbers favored punting (close call)−0.1 pts
Every call this season (10)
After touchdowns: kick or go for two?
Made the numbers' call

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

5 of 5100%
Win probability given up

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

0 ptsthis season
When two was clearly right

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

-
Went for two 1 time, converted 0

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, 2015
0-1vs. 0.3 expected−0.3 wins

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

  1. L
    BALL
What moved it, 2015
−0.2 wins
before kickoff: being favored, vs. coin flips
−0.3 wins
on the field, after the opening snap

Every game starts at VMI'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−0.30
  • Possession & field position−0.01
  • Timeouts−0.01
  • Less the pregame edge, counted before kickoff+0.03
Game by game

Points of win probability, from VMI's side.

Season arc, 2015

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

Biggest swings of 2015

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

Stolen wins

VMI'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

VMI'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

VMI'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 ›
$75.00
Series & rivalries

VMI'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