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Nicholls

Colonels · Southland · 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−0.13
Defense+0.75allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−0.65
Defense+0.91allowed
Finishing

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

Offense−1.582.6 pts/trip
Defense+0.474.0 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.69
Defense0.70opponents

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 Nicholls 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 Nicholls.

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 956%
Win probability given up

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

0.4 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 Nicholls'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 TA&MQ4 7:34 4th & 5 at NICH 30, down 7Punted; the numbers favored going for it (close call)−0.2 pts
  2. at TA&MQ2 13:10 4th & 3 at TA&M 20, down 14Kicked a field goal; the numbers favored going for it (close call)−0.1 pts
  3. at TA&MQ1 11:39 4th & 3 at midfield, down 7Punted; the numbers favored going for it (close call)−0.1 pts
  4. at TA&MQ3 6:07 4th & 11 at TA&M 38, down 8Punted; the numbers favored a field goal (close call)<0.1 pts
Every call this season (9)
After touchdowns: kick or go for two?
Made the numbers' call

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

0 of 10%
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 1 time, converted 1
Costliest tries against the numbers
  1. at TA&MQ4 12:05 Touchdown, down 2 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, 2017
0-1vs. 0.0 expectedon par

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

  1. L
    TA&M
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 Nicholls'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−0.05
  • Less the pregame edge, counted before kickoff+0.08
Game by game

Points of win probability, from Nicholls's side.

Closest call

NICH 26-23 KU (2018) - Nicholls dropped to a 19.9% win probability before pulling it out.

Season arc, 2017

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

Biggest swings of 2017

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

Stolen wins

Nicholls'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

Nicholls'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

Nicholls'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 ›
$70.38-4.5% over the past year
Series & rivalries

Nicholls'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