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Howard

Bison · MEAC · FCS
1-12017 · 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+0.36
Defense−0.15allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−0.54
Defense+0.63allowed
Finishing

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

Offense+1.165.8 pts/trip
Defense−0.374.2 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.74
Defense1.91opponents

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 Howard 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 Howard.

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.

16 of 1889%
Win probability given up

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

0.4 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.

2 of 2100%

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 Howard'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 KENTQ4 5:52 4th & 9 at KENT 14, down 14Went for it; the numbers favored a field goal (close call)−0.8 pts
  2. at UNLVQ1 5:30 4th & 3 at HOW 18, up 1Punted; 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.

7 of 978%
Win probability given up

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

0.2 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
Costliest tries against the numbers
  1. at UNLVQ4 14:09 Touchdown, up 1 before the tryWent for two; the numbers favored kicking (close call)−0.1 pts
  2. at KENTQ4 3:16 Touchdown, down 8 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, 2017
1-1vs. 0.1 expected+0.9 wins

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

  1. W
    UNLV
  2. L
    KENT
What moved it, 2017
−0.9 wins
before kickoff: being favored, vs. coin flips
+0.8 wins
on the field, after the opening snap

Every game starts at Howard'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+0.12
  • Clock+0.01
  • Less the pregame edge, counted before kickoff+0.70
Game by game

Points of win probability, from Howard's side.

Closest call

HOW 43-40 UNLV (2017) - Howard dropped to a 0.7% win probability before pulling it out.

Season arc, 2017

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

Biggest swings of 2017

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

Stolen wins

Howard'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

Howard'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

Howard'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 ›
$70.03-2.2% over the past year
Series & rivalries

Howard'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