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Army

Black Knights · American Athletic · FBS
5-82019
SP+
−2.1 (#72)
FPI
−4.6 (#84)
SRS
−5.8 (#90)
Resume
#108

Next game

FAU
vs Florida Atlantic
Sat, Oct 17 · 12:00 PM EDT
Projected score
ARMY32
FAU26
Win chance
70%
ARMY 70%FAU 30%
Market: ARMY favored by 2.8 · Points model v7, built without betting lines. A model's view, not betting advice.Full projection →

Advanced stats

CollegeFootballData's play-by-play measures of how efficient and explosive a team was, placed against every other FBS team. How it works →

Profile vs. FBS, 2019
Offense
EPAEPA per play: +0.15, 59th percentile among FBSSuccessSuccess rate: 47.8%, 86th percentile among FBSExplosiveExplosiveness: +1.06, 3rd percentile among FBSRush EPARushing EPA: +0.21, 94th percentile among FBSPass EPAPassing EPA: −0.16, 2nd percentile among FBSStd downsStandard downs: 53.8%, 88th percentile among FBSPass downsPassing downs: 30.6%, 24th percentile among FBSLine ydsLine yards: 3.32, 91st percentile among FBSStuffsStuff rate: 10.8%, 99th percentile among FBSHavocHavoc: 11.8%, 99th percentile among FBS
Defense
EPAEPA per play: +0.13, 37th percentile among FBSSuccessSuccess rate: 44.1%, 40th percentile among FBSExplosiveExplosiveness: +1.17, 67th percentile among FBSRush EPARushing EPA: +0.11, 32nd percentile among FBSPass EPAPassing EPA: +0.18, 47th percentile among FBSStd downsStandard downs: 49.9%, 29th percentile among FBSPass downsPassing downs: 30.6%, 73rd percentile among FBSLine ydsLine yards: 3.16, 17th percentile among FBSStuffsStuff rate: 16.1%, 16th percentile among FBSHavocHavoc: 15.3%, 5th percentile among FBS

Farther out is better on every spoke. Dashed ring: the FBS median.

  • EPA per play
    Expected points added on an average snap: how much each play moved the scoring odds.
  • Success rate
    Share of snaps that stayed on schedule: half the yards needed on 1st down, 70% on 2nd, all of them on 3rd or 4th.
  • Explosiveness
    Average EPA on the successful snaps: how big the good plays were.
  • Rushing EPA
    EPA per designed run.
  • Passing EPA
    EPA per pass play.
  • Standard downs
    Success rate on downs where either a run or a pass makes sense, like 1st and 10 or 3rd and 2.
  • Passing downs
    Success rate on downs that all but force a pass, like 2nd and 8 or longer, or 3rd and 5 or longer.
  • Line yards
    Rushing yards per carry credited to the offensive line, weighting the first few yards most.
  • Stuff rate
    Share of runs stopped at or behind the line of scrimmage.
  • Havoc
    Share of snaps with a tackle for loss, sack, forced fumble, interception or pass breakup.

Percentiles among the 130 FBS teams this season, where higher is better for the offense and the defense alike (a defense's numbers are what it allowed). The line in each bar is the FBS median. Garbage time excluded. Source: CollegeFootballData.

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, 2019
Per drive

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

Offense+0.8820th of 130
Defense+0.18allowed71st of 130
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense+0.3456th of 130
Defense+0.39allowed85th of 130
Finishing

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

Offense+0.414.7 pts/trip34th of 130
Defense0.003.9 pts/trip allowed65th of 130
Field position

Average expected points where drives started.

Offense1.0192nd of 130
Defense1.17opponents97th of 130

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 Army 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. Ranks are among FBS teams.

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 Army.

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, 2019
The quarterback
Kelvin Hopkins Jr.: 1.13 WAR (90% interval 0.82 to 1.48)
69th of 228 FBS QBs in WAR · 2nd of 171 in value per play

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. Kelvin Hopkins Jr.QB157 plays · +0.386 pts/play · 69th of 228 QBs1.13WAR0.82 to 1.48
  2. Christian AndersonQB51 plays · +0.364 pts/play · 152nd of 228 QBs0.35WAR0.10 to 0.54
  3. Connor SlomkaRB105 plays · +0.174 pts/play · 122nd of 349 RBs0.34WAR0.26 to 0.42
  4. Sandon McCoyRB101 plays · +0.180 pts/play · 123rd of 349 RBs0.34WAR0.23 to 0.45
  5. Jabari LawsQB69 plays · +0.240 pts/play · 160th of 228 QBs0.31WAR0.08 to 0.54
  6. Kell WalkerRB47 plays · +0.127 pts/play · 255th of 349 RBs0.11WAR0.07 to 0.15
  7. Artice Hobbs IVRB21 plays · +0.041 pts/play · 302nd of 349 RBs0.02WAR−0.01 to 0.04
By position group, against FBS
Quarterback
1.79WAR
28th of 130
Running backs
0.81WAR
53rd of 130
Receivers
0.00WAR
130th of 130
Tight ends
0.00WAR
117th of 130
Kicker
0.00WAR
105th of 130
Punter
0.00WAR
97th of 130
Line and defense, points per game vs the median FBS unit
Offensive line
+2.21/game
4th of 130
Front seven
−0.76/game
89th of 130
Secondary
−0.38/game
81st of 130

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 Army'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. Ranks are among FBS teams and players. How this works

Talent and roster

How much talent the roster had, by recruiting ratings, and how much of it showed up on the field, against every other FBS team. How it works →

What it had and what it did, 2019
  • Roster talent
    247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
    Roster talent: 265, 128th of 130 in FBS
  • Recruiting
    Average 247Sports class score over this season's class and the three before it.
    Recruiting: 118, 116th of 130 in FBS
  • Returning production
    Share of last season's production (expected points added) by players still on the roster.
    Returning production: 64%, 58th of 130 in FBS
  • SP+ rating
    The result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
    SP+ rating: −2.1, 72nd of 130 in FBS

Ranks and bars among the 130 FBS teams with a talent rating this season, best first; the line in each bar is the FBS median.

Talent conversion
+8.5points per game

Army's SP+ of −2.1 is 8.5 points above the −10.6 its roster talent predicts, 22nd of 130 in FBS.

Offense+5.6
Defense+2.7

The same comparison on each side of the ball, positive is better for both.

−200+205001000Roster talent (247Sports composite)SP+ ratingAlabama: talent 985, SP+ +32.4 (+4.5 vs. talent)Ohio State: talent 974, SP+ +35.4 (+8.5 vs. talent)Georgia: talent 960, SP+ +26.8 (+1.0 vs. talent)USC: talent 916, SP+ +13.1 (−9.0 vs. talent)LSU: talent 906, SP+ +33.1 (+11.7 vs. talent)Florida State: talent 878, SP+ +1.8 (−17.4 vs. talent)Texas: talent 878, SP+ +12.0 (−7.2 vs. talent)Oklahoma: talent 870, SP+ +22.9 (+4.4 vs. talent)Clemson: talent 863, SP+ +28.1 (+10.1 vs. talent)Penn State: talent 857, SP+ +24.3 (+6.7 vs. talent)Michigan: talent 853, SP+ +20.7 (+3.4 vs. talent)Texas A&M: talent 849, SP+ +15.0 (−2.0 vs. talent)Auburn: talent 844, SP+ +21.0 (+4.4 vs. talent)Notre Dame: talent 843, SP+ +17.7 (+1.1 vs. talent)Florida: talent 836, SP+ +24.0 (+8.0 vs. talent)Tennessee: talent 830, SP+ +10.8 (−4.8 vs. talent)Oregon: talent 818, SP+ +19.0 (+4.3 vs. talent)Miami: talent 815, SP+ +9.6 (−4.9 vs. talent)Washington: talent 801, SP+ +18.3 (+4.7 vs. talent)Stanford: talent 788, SP+ −4.7 (−17.3 vs. talent)South Carolina: talent 763, SP+ +4.8 (−6.1 vs. talent)UCLA: talent 741, SP+ −3.9 (−13.5 vs. talent)Mississippi State: talent 733, SP+ +3.5 (−5.5 vs. talent)Nebraska: talent 729, SP+ +2.6 (−6.2 vs. talent)Ole Miss: talent 718, SP+ +2.9 (−5.2 vs. talent)Arkansas: talent 708, SP+ −10.6 (−18.0 vs. talent)Maryland: talent 704, SP+ −6.3 (−13.5 vs. talent)North Carolina: talent 698, SP+ +10.3 (+3.5 vs. talent)Virginia Tech: talent 696, SP+ +8.0 (+1.2 vs. talent)TCU: talent 692, SP+ +6.7 (+0.2 vs. talent)Michigan State: talent 689, SP+ +7.2 (+0.9 vs. talent)Arizona State: talent 686, SP+ +6.3 (+0.1 vs. talent)Wisconsin: talent 676, SP+ +20.3 (+14.8 vs. talent)Kentucky: talent 673, SP+ +9.1 (+3.7 vs. talent)Baylor: talent 669, SP+ +17.8 (+12.7 vs. talent)NC State: talent 669, SP+ −6.3 (−11.4 vs. talent)Illinois: talent 662, SP+ +0.6 (−4.1 vs. talent)Louisville: talent 646, SP+ +0.2 (−3.6 vs. talent)Oklahoma State: talent 644, SP+ +8.7 (+4.9 vs. talent)Missouri: talent 643, SP+ +7.8 (+4.1 vs. talent)West Virginia: talent 639, SP+ −7.0 (−10.5 vs. talent)Pittsburgh: talent 638, SP+ +4.1 (+0.7 vs. talent)Iowa: talent 638, SP+ +16.7 (+13.3 vs. talent)Duke: talent 633, SP+ −1.8 (−4.9 vs. talent)Georgia Tech: talent 629, SP+ −12.0 (−14.9 vs. talent)Minnesota: talent 621, SP+ +19.4 (+16.9 vs. talent)Utah: talent 620, SP+ +19.5 (+17.0 vs. talent)Colorado: talent 614, SP+ −4.1 (−6.2 vs. talent)Northwestern: talent 613, SP+ −5.5 (−7.5 vs. talent)California: talent 612, SP+ −2.6 (−4.6 vs. talent)Purdue: talent 607, SP+ −0.7 (−2.5 vs. talent)Vanderbilt: talent 605, SP+ −10.4 (−12.1 vs. talent)Indiana: talent 604, SP+ +12.8 (+11.2 vs. talent)UCF: talent 599, SP+ +19.1 (+17.8 vs. talent)Houston: talent 598, SP+ −4.3 (−5.6 vs. talent)Iowa State: talent 597, SP+ +12.6 (+11.4 vs. talent)Oregon State: talent 596, SP+ −0.7 (−1.9 vs. talent)Rutgers: talent 587, SP+ −14.6 (−15.3 vs. talent)Virginia: talent 580, SP+ +6.3 (+5.9 vs. talent)Texas Tech: talent 577, SP+ +2.7 (+2.5 vs. talent)Cincinnati: talent 577, SP+ +9.1 (+8.9 vs. talent)Syracuse: talent 575, SP+ −3.0 (−3.1 vs. talent)Arizona: talent 570, SP+ −8.0 (−7.9 vs. talent)SMU: talent 565, SP+ +4.4 (+4.7 vs. talent)Boston College: talent 565, SP+ −5.7 (−5.4 vs. talent)Wake Forest: talent 563, SP+ +2.0 (+2.4 vs. talent)Boise State: talent 561, SP+ +8.1 (+8.6 vs. talent)BYU: talent 561, SP+ +1.3 (+1.8 vs. talent)South Florida: talent 560, SP+ −9.8 (−9.2 vs. talent)Washington State: talent 556, SP+ +11.1 (+11.9 vs. talent)Memphis: talent 552, SP+ +18.0 (+19.0 vs. talent)Kansas State: talent 543, SP+ +6.0 (+7.4 vs. talent)Florida International: talent 533, SP+ −7.0 (−5.2 vs. talent)Kansas: talent 529, SP+ −9.8 (−7.8 vs. talent)Florida Atlantic: talent 524, SP+ −0.6 (+1.6 vs. talent)Colorado State: talent 519, SP+ −3.9 (−1.4 vs. talent)San Diego State: talent 504, SP+ +2.0 (+5.1 vs. talent)Louisiana Tech: talent 501, SP+ +0.2 (+3.4 vs. talent)Marshall: talent 490, SP+ −1.9 (+1.8 vs. talent)Temple: talent 489, SP+ +3.2 (+6.9 vs. talent)Tulane: talent 487, SP+ +7.5 (+11.3 vs. talent)Western Kentucky: talent 487, SP+ +1.7 (+5.5 vs. talent)Fresno State: talent 483, SP+ −4.0 (0.0 vs. talent)UTSA: talent 471, SP+ −23.7 (−19.3 vs. talent)East Carolina: talent 468, SP+ −14.0 (−9.4 vs. talent)UNLV: talent 463, SP+ −17.4 (−12.6 vs. talent)Nevada: talent 462, SP+ −12.3 (−7.5 vs. talent)North Texas: talent 457, SP+ −6.1 (−1.1 vs. talent)Southern Miss: talent 456, SP+ −4.8 (+0.2 vs. talent)Western Michigan: talent 452, SP+ −4.9 (+0.3 vs. talent)Toledo: talent 451, SP+ −13.7 (−8.5 vs. talent)Middle Tennessee: talent 451, SP+ −11.3 (−6.1 vs. talent)Arkansas State: talent 448, SP+ −2.9 (+2.4 vs. talent)UAB: talent 442, SP+ −1.4 (+4.2 vs. talent)San José State: talent 433, SP+ −7.2 (−1.3 vs. talent)Tulsa: talent 425, SP+ −2.5 (+3.7 vs. talent)Utah State: talent 424, SP+ −4.3 (+1.9 vs. talent)Hawai'i: talent 421, SP+ −1.9 (+4.4 vs. talent)Central Michigan: talent 417, SP+ −4.4 (+2.1 vs. talent)UConn: talent 413, SP+ −24.4 (−17.8 vs. talent)App State: talent 412, SP+ +11.3 (+17.9 vs. talent)Georgia Southern: talent 412, SP+ −4.5 (+2.1 vs. talent)Louisiana: talent 406, SP+ +9.6 (+16.4 vs. talent)New Mexico: talent 402, SP+ −17.0 (−10.0 vs. talent)Northern Illinois: talent 398, SP+ −13.9 (−6.8 vs. talent)Wyoming: talent 398, SP+ −1.1 (+6.0 vs. talent)Rice: talent 397, SP+ −18.0 (−10.9 vs. talent)Troy: talent 389, SP+ −4.4 (+3.0 vs. talent)Charlotte: talent 386, SP+ −6.3 (+1.2 vs. talent)South Alabama: talent 381, SP+ −20.3 (−12.7 vs. talent)Old Dominion: talent 375, SP+ −24.4 (−16.6 vs. talent)Georgia State: talent 369, SP+ −10.5 (−2.5 vs. talent)Miami (OH): talent 359, SP+ −9.2 (−0.9 vs. talent)Massachusetts: talent 359, SP+ −34.6 (−26.3 vs. talent)UTEP: talent 355, SP+ −25.6 (−17.2 vs. talent)Texas State: talent 348, SP+ −16.2 (−7.6 vs. talent)UL Monroe: talent 346, SP+ −10.7 (−2.0 vs. talent)Ohio: talent 337, SP+ +3.7 (+12.6 vs. talent)Navy: talent 335, SP+ +9.9 (+18.8 vs. talent)Ball State: talent 328, SP+ −4.5 (+4.6 vs. talent)Eastern Michigan: talent 317, SP+ −8.6 (+0.8 vs. talent)Bowling Green: talent 315, SP+ −27.5 (−18.0 vs. talent)Kent State: talent 313, SP+ −10.2 (−0.7 vs. talent)Akron: talent 313, SP+ −29.8 (−20.3 vs. talent)Coastal Carolina: talent 306, SP+ −12.8 (−3.1 vs. talent)Buffalo: talent 285, SP+ −2.0 (+8.2 vs. talent)New Mexico State: talent 270, SP+ −22.0 (−11.5 vs. talent)Liberty: talent 153, SP+ −2.6 (+9.7 vs. talent)Air Force: talent 152, SP+ +12.1 (+24.4 vs. talent)Army: talent 265, SP+ −2.1, expected −10.6Army
One dot per FBS team, 2019. The line is the SP+ a roster's talent predicts; the dashed gap is Army's conversion.
Conversion by season

Bars above the line: SP+ above what the roster's talent predicted. The lighter bar is the season in progress.

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, 2019
Made the numbers' call

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

69 of 8383%6th of 130
FBS median 75%
Win probability given up

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

0.6 ptsper game20th of 130
0.08 expected wins over 13 games, FBS median 1.0 pts
When going was clearly right

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

12 of 1392%
FBS teams went 64%

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 Army's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 2 clear-cut ones account for 0.02 of the 0.08 expected wins. The model sees the situation, not the injury report, so a call it disagrees with can still be right. Ranks are among FBS teams; 1st gave up the least.

Costliest calls against the numbers
  1. at MICHQ4 6:28 4th & 3 at ARMY 41, tiedPunted; the numbers favored going for it−1.4 pts
  2. vs TULNQ4 10:17 4th & 11 at TULN 31, down 14Went for it; the numbers favored a field goal−1.1 pts
  3. vs TULNQ2 0:11 4th & 7 at TULN 36, down 7Went for it; the numbers favored a field goal (close call)−1.0 pts
  4. vs SJSUQ4 3:41 4th & 21 at ARMY 38, down 11Went for it; the numbers favored punting (close call)−1.0 pts
  5. at HAWQ2 0:47 4th & 16 at HAW 40, down 7Punted; the numbers favored a field goal (close call)−0.7 pts
  6. at HAWQ4 11:44 4th & 5 at HAW 30, down 7Went for it; the numbers favored a field goal (close call)−0.5 pts
  7. at WKUQ2 7:12 4th & 2 at ARMY 35, down 7Punted; the numbers favored going for it (close call)−0.4 pts
  8. vs TULNQ4 3:39 4th & 10 at TULN 21, down 21Went for it; the numbers favored a field goal (close call)−0.3 pts
Every call this season (83)
Wk 1 · vs RICE · W 14-76 of 6 agreed
  1. Q1 11:574th & 1 at ARMY 15, tied · Went for itAgreed
  2. Q1 7:454th & 14 at ARMY 27, tied · PuntedAgreed
  3. Q2 15:004th & 1 at ARMY 39, tied · Went for itAgreed
  4. Q2 6:234th & 11 at ARMY 28, tied · PuntedAgreed
  5. Q3 15:004th & 9 at RICE 46, tied · PuntedAgreed
  6. Q3 2:434th & 8 at ARMY 4, tied · PuntedAgreed
Wk 2 · at MICH · L 21-247 of 8 agreed
  1. Q1 12:544th & 4 at ARMY 31, tied · PuntedAgreed
  2. Q1 8:264th & 1 at ARMY 49, tied · Went for itAgreed
  3. Q2 12:024th & 18 at ARMY 30, tied · PuntedAgreed
  4. Q2 5:244th & 2 at MICH 17, tied · Went for itAgreed
  5. Q4 14:494th & 3 at ARMY 32, tied · PuntedAgreed
  6. Q4 6:284th & 3 at ARMY 41, tied · Punted−1.4 pts
  7. Q4 1:194th & 1 at MICH 49, tied · Went for itAgreed
  8. Q4 0:004th & 8 at MICH 33, tied · Kicked a field goalAgreed
Wk 3 · at UTSA · W 31-134 of 4 agreed
  1. Q1 10:414th & 5 at UTSA 23, up 7 · Kicked a field goalAgreed
  2. Q2 14:064th & 15 at ARMY 49, up 10 · PuntedAgreed
  3. Q2 6:534th & 5 at ARMY 25, up 10 · PuntedAgreed
  4. Q3 8:024th & 14 at ARMY 36, up 3 · PuntedAgreed
Wk 4 · vs MORG · W 52-215 of 5 agreed
  1. Q2 13:544th & 1 at MORG 22, tied · Went for itAgreed
  2. Q2 10:174th & 11 at MORG 18, tied · Kicked a field goalAgreed
  3. Q2 5:384th & 8 at midfield, up 10 · PuntedAgreed
  4. Q4 9:254th & 1 at MORG 21, up 24 · Went for itAgreed
  5. Q4 1:484th & 1 at MORG 1, up 24 · Went for itAgreed
Wk 6 · vs TULN · L 33-425 of 8 agreed
  1. Q1 10:534th & 7 at ARMY 28, tied · PuntedAgreed
  2. Q1 5:004th & 16 at TULN 41, down 7 · PuntedAgreed
  3. Q2 0:574th & 1 at ARMY 34, down 7 · Went for itAgreed
  4. Q2 0:114th & 7 at TULN 36, down 7 · Went for itClose call
  5. Q3 7:384th & 15 at ARMY 20, down 7 · PuntedAgreed
  6. Q3 2:064th & 7 at ARMY 23, down 7 · PuntedAgreed
  7. Q4 10:174th & 11 at TULN 31, down 14 · Went for it−1.1 pts
  8. Q4 3:394th & 10 at TULN 21, down 21 · Went for itClose call
Wk 7 · at WKU · L 8-175 of 8 agreed
  1. Q1 15:004th & 2 at ARMY 33, tied · PuntedAgreed
  2. Q1 12:144th & 1 at ARMY 34, tied · PuntedClose call
  3. Q1 4:464th & 1 at midfield, down 7 · Went for itAgreed
  4. Q2 15:004th & 11 at WKU 36, down 7 · PuntedClose call
  5. Q2 15:004th & 1 at WKU 38, down 7 · Went for itAgreed
  6. Q2 7:124th & 2 at ARMY 35, down 7 · PuntedClose call
  7. Q3 7:274th & 4 at ARMY 31, down 10 · PuntedAgreed
  8. Q4 13:274th & 7 at WKU 7, down 10 · Kicked a field goalAgreed
Wk 8 · at GAST · L 21-288 of 9 agreed
  1. Q1 12:444th & 8 at GAST 43, tied · Went for itAgreed
  2. Q1 2:184th & 2 at GAST 2, down 7 · Went for itAgreed
  3. Q2 14:104th & 1 at ARMY 23, tied · Went for itAgreed
  4. Q3 15:004th & 1 at ARMY 34, tied · Went for itAgreed
  5. Q4 15:004th & 5 at ARMY 41, up 1 · PuntedAgreed
  6. Q4 15:004th & 1 at ARMY 34, up 1 · Went for itAgreed
  7. Q4 7:414th & 2 at GAST 38, down 7 · Went for itAgreed
  8. Q4 7:414th & 8 at ARMY 38, down 7 · Went for itClose call
  9. Q4 1:004th & 4 at GAST 28, down 7 · Went for itAgreed
Wk 9 · vs SJSU · L 29-345 of 6 agreed
  1. Q2 11:364th & 6 at SJSU 42, down 10 · Went for itAgreed
  2. Q2 0:524th & 16 at SJSU 24, down 13 · Kicked a field goalAgreed
  3. Q3 15:004th & 1 at SJSU 33, down 13 · Went for itAgreed
  4. Q3 6:314th & 10 at ARMY 15, down 6 · PuntedAgreed
  5. Q4 14:474th & 2 at ARMY 39, down 14 · Went for itAgreed
  6. Q4 3:414th & 21 at ARMY 38, down 11 · Went for itClose call
Wk 10 · at AF · L 13-177 of 8 agreed
  1. Q1 15:004th & 1 at AF 1, tied · Went for itAgreed
  2. Q2 15:004th & 5 at ARMY 32, tied · PuntedAgreed
  3. Q2 1:174th & 2 at AF 2, down 3 · Went for itAgreed
  4. Q3 11:374th & 4 at ARMY 19, up 3 · PuntedClose call
  5. Q3 9:204th & 7 at ARMY 25, up 3 · PuntedAgreed
  6. Q4 13:084th & 13 at ARMY 22, down 4 · PuntedAgreed
  7. Q4 10:344th & 4 at ARMY 31, down 4 · PuntedAgreed
  8. Q4 0:384th & 5 at AF 5, down 4 · Went for itAgreed
Wk 11 · vs MASS · W 63-74 of 4 agreed
  1. Q1 2:554th & 1 at ARMY 36, up 7 · Went for itAgreed
  2. Q2 6:324th & 10 at ARMY 42, up 21 · PuntedAgreed
  3. Q3 10:454th & 1 at MASS 36, up 35 · Went for itAgreed
  4. Q3 10:454th & 15 at MASS 39, up 35 · PuntedAgreed
Wk 12 · vs VMI · W 47-62 of 2 agreed
  1. Q2 12:314th & 6 at VMI 9, up 4 · Kicked a field goalAgreed
  2. Q3 13:074th & 1 at ARMY 21, up 8 · Went for itAgreed
Wk 14 · at HAW · L 31-524 of 7 agreed
  1. Q1 9:454th & 1 at HAW 19, up 2 · Went for itAgreed
  2. Q1 3:314th & 7 at HAW 15, up 2 · Kicked a field goalAgreed
  3. Q2 6:444th & 2 at ARMY 33, tied · Went for itAgreed
  4. Q2 0:474th & 16 at HAW 40, down 7 · PuntedClose call
  5. Q4 12:334th & 9 at ARMY 2, down 7 · PuntedAgreed
  6. Q4 11:444th & 5 at HAW 30, down 7 · Went for itClose call
  7. Q4 0:044th & 16 at ARMY 34, down 21 · Went for itClose call
Wk 15 · at NAVY · L 7-317 of 8 agreed
  1. Q1 13:244th & 15 at ARMY 19, tied · PuntedAgreed
  2. Q1 7:464th & 1 at NAVY 46, tied · Went for itAgreed
  3. Q2 10:244th & 3 at ARMY 42, tied · PuntedClose call
  4. Q2 4:424th & 8 at NAVY 49, tied · PuntedAgreed
  5. Q3 8:464th & 23 at ARMY 7, down 7 · PuntedAgreed
  6. Q3 3:154th & 16 at ARMY 19, down 14 · PuntedAgreed
  7. Q4 11:064th & 1 at ARMY 39, down 17 · Went for itAgreed
  8. Q4 8:314th & 3 at NAVY 39, down 17 · Went for itAgreed
After touchdowns: kick or go for two?
Made the numbers' call

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

44 of 4892%
FBS median 91%
Win probability given up

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

0.5 ptsthis season
FBS median 0.7 pts
When two was clearly right

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

-
Went for two 3 times, converted 1
Costliest tries against the numbers
  1. at WKUQ4 1:41 Touchdown, down 11 before the tryWent for two; the numbers favored kicking (close call)−0.5 pts
  2. vs MORGQ4 10:11 Touchdown, up 23 before the tryKicked; the numbers favored going for two (close call)<0.1 pts
  3. vs TULNQ4 2:55 Touchdown, down 15 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, 2019
5-8vs. 7.7 expected−2.7 wins

126th of 130 FBS teams at beating the model's pregame expectations

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

  1. W
  2. L
  3. W
  4. W
  5. L
  6. L
  7. L
  8. L
  9. L
  10. W
  11. W
  12. L
  13. L
What moved it, 2019
+1.2 wins
before kickoff: being favored, vs. coin flips
−2.0 wins
on the field, after the opening snap

Every game starts at Army'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−1.92
  • Possession & field position−0.03
  • Clock−0.15
  • Timeouts+0.13
  • Less the pregame edge, counted before kickoff−0.01
Game by game

Points of win probability, from Army's side.

Closest call

NAVY 11-17 ARMY (2023) - Army dropped to a 1.3% win probability before pulling it out.

Season arc, 2019

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

Biggest swings of 2019

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

Stolen wins

Army'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

Army'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

Army'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 ›
$109.58+4.8% over the past year
Series & rivalries

Army'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