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Howard

Bison · MEAC · FCS
0-22014 · 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, 2014
Per drive

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

Offense−1.50
Defense+0.47allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−1.32
Defense+0.82allowed
Finishing

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

Offense−0.773.0 pts/trip
Defense−0.413.5 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.85
Defense2.04opponents

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, 2014
Made the numbers' call

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

11 of 1861%
Win probability given up

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

0.9 ptsper game
0.02 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 Howard's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 1 clear-cut ones account for 0.01 of the 0.02 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 RUTGQ3 3:06 4th & 21 at HOW 12, down 18Went for it; the numbers favored punting−1.1 pts
  2. at AKRQ2 12:52 4th & 3 at AKR 45, down 21Punted; the numbers favored going for it (close call)−0.3 pts
  3. at AKRQ3 8:33 4th & 16 at AKR 42, down 28Went for it; the numbers favored punting (close call)−0.2 pts
  4. at AKRQ3 13:24 4th & 2 at HOW 16, down 21Punted; the numbers favored going for it (close call)−0.2 pts
  5. at RUTGQ1 4:29 4th & 2 at HOW 43, up 4Punted; the numbers favored going for it (close call)<0.1 pts
  6. at AKRQ1 11:19 4th & 3 at HOW 25, down 14Punted; the numbers favored going for it (close call)<0.1 pts
  7. at RUTGQ4 2:45 4th & 14 at HOW 5, down 13Punted; 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.

2 of 367%
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.

-
Went for two 2 times, converted 0
Costliest tries against the numbers
  1. at RUTGQ4 12:33 Touchdown, down 19 before the tryWent for two; the numbers favored kicking (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, 2014
0-2vs. 0.1 expected−0.1 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. L
    AKR
  2. L
    RUTG
What moved it, 2014
−0.9 wins
before kickoff: being favored, vs. coin flips
−0.1 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−0.15
  • Less the pregame edge, counted before kickoff+0.08
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, 2014

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

Biggest swings of 2014

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