Try the model

Missouri State

Bears · Conference USA · FBS
0-22015 · vs FBS opponents

Next game

DEL
at Delaware
Tue, Oct 20 · 7:00 PM EDT
Projected score
MOST23
DEL32
Win chance
32%
MOST 32%DEL 68%
Points model v7, built without betting lines. A model's view, not betting advice.Full projection →

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−2.13
Defense+2.32allowed
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense−1.01
Defense+1.04allowed
Finishing

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

Offense−0.972.8 pts/trip
Defense+2.566.5 pts/trip allowed
Field position

Average expected points where drives started.

Offense0.58
Defense1.74opponents

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 Missouri State 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 Missouri State.

Players

YardLine's player model credits every play's value to the players involved, so each one's season can be measured in wins above a typical backup. How it works →

Players, 2015
The quarterback
Breck Ruddick: 0.05 WAR (90% interval 0.02 to 0.08)

Quarterback is the most valuable starting slot by a wide margin: the gap between a top-decile and a median FBS quarterback is about twice the gap at any other position.

  1. Breck RuddickQB17 plays · +0.148 pts/play0.05WAR0.02 to 0.08
  2. Brodie LambertQB6 plays · +0.198 pts/play0.02WAR0.01 to 0.03
By position group
Quarterback
0.07WAR
Running backs
0.00WAR
Receivers
0.00WAR
Tight ends
0.00WAR
Kicker
0.00WAR
Punter
0.00WAR
Line and defense, points per game vs the median FBS unit
Offensive line
−0.04/game
Front seven
−0.53/game
Secondary
−0.00/game

Linemen and defenders are valued as units, in points per game against the median FBS unit, because play-by-play doesn't say who was on the field. Players are valued against a replacement-level backup, so the two aren't added together.

Wins above replacement credits each play's expected points to the players involved, adjusted for the opponent, and compares Missouri State's players with a typical backup; 53 points make a win. Only snaps while the game was in doubt count, so a starter on a team that blows opponents out plays fewer of them: read value per play beside WAR. The line under each player (or the range on a phone) is the 90% interval. How this works

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.

14 of 2167%
Win probability given up

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

0.6 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.

-

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 Missouri State'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 MEMQ2 13:38 4th & 16 at MEM 34, down 35Punted; the numbers favored a field goal (close call)−0.6 pts
  2. at ARSTQ2 13:58 4th & 5 at ARST 40, down 28Punted; the numbers favored going for it (close call)−0.2 pts
  3. at ARSTQ1 2:06 4th & 1 at MOST 34, down 21Punted; the numbers favored going for it (close call)−0.2 pts
  4. at ARSTQ4 11:16 4th & 2 at ARST 48, down 56Punted; the numbers favored going for it (close call)−0.1 pts
  5. at MEMQ2 2:32 4th & 2 at MOST 33, down 42Punted; the numbers favored going for it (close call)<0.1 pts
  6. at MEMQ4 11:34 4th & 3 at MOST 25, down 49Punted; the numbers favored going for it (close call)<0.1 pts
  7. at ARSTQ2 0:09 4th & 6 at ARST 49, down 42Punted; the numbers favored going for it (close call)<0.1 pts
Every call this season (21)
After touchdowns: kick or go for two?
Made the numbers' call

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

2 of 2100%
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.

-
Never went for two

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
0-2vs. 0.3 expected−0.3 wins

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

  1. L
    MEM
  2. L
    ARST
What moved it, 2015
−0.7 wins
before kickoff: being favored, vs. coin flips
−0.3 wins
on the field, after the opening snap

Every game starts at Missouri State'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−0.35
  • Less the pregame edge, counted before kickoff+0.04
Game by game

Points of win probability, from Missouri State's side.

Closest call

MOST 22-20 MTSU (2025) - Missouri State dropped to a 4.4% win probability before pulling it out.

Season arc, 2015

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

Biggest swings of 2015

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

Stolen wins

Missouri State'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

Missouri State'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

Missouri State'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 ›
$90.06-1.1% over the past year
Series & rivalries

Missouri State'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