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Louisiana Tech

Bulldogs · Sun Belt · FBS
9-52016 · 6-3 in conference
SP+
+3.1 (#60)
FPI
+4.0 (#59)
SRS
+1.5 (#61)
Resume
#55

Next game

ULM
at UL Monroe
Sat, Oct 17 · 8:00 PM EDT
Projected score
LT36
ULM19
Win chance
83%
LT 83%ULM 17%
Market: LT favored by 15.5 · 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, 2016
Offense
EPAEPA per play: +0.32, 97th percentile among FBSSuccessSuccess rate: 53.1%, 99th percentile among FBSExplosiveExplosiveness: +1.24, 67th percentile among FBSRush EPARushing EPA: +0.18, 86th percentile among FBSPass EPAPassing EPA: +0.45, 96th percentile among FBSStd downsStandard downs: 56.9%, 98th percentile among FBSPass downsPassing downs: 43.6%, 98th percentile among FBSLine ydsLine yards: 3.12, 70th percentile among FBSStuffsStuff rate: 16.9%, 80th percentile among FBSHavocHavoc: 14.5%, 74th percentile among FBS
Defense
EPAEPA per play: +0.19, 17th percentile among FBSSuccessSuccess rate: 48.3%, 9th percentile among FBSExplosiveExplosiveness: +1.20, 40th percentile among FBSRush EPARushing EPA: +0.12, 31st percentile among FBSPass EPAPassing EPA: +0.28, 15th percentile among FBSStd downsStandard downs: 52.5%, 12th percentile among FBSPass downsPassing downs: 37.6%, 12th percentile among FBSLine ydsLine yards: 2.99, 46th percentile among FBSStuffsStuff rate: 18.8%, 46th percentile among FBSHavocHavoc: 15.9%, 46th 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 128 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, 2016
Per drive

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

Offense+1.642nd of 128
Defense+0.59allowed106th of 128
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense+1.134th of 128
Defense+0.56allowed102nd of 128
Finishing

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

Offense+0.854.6 pts/trip9th of 128
Defense+1.035.0 pts/trip allowed122nd of 128
Field position

Average expected points where drives started.

Offense1.2034th of 128
Defense1.08opponents61st of 128

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 Louisiana Tech 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 Louisiana Tech.

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, 2016
The quarterback
Ryan Higgins: 2.83 WAR (90% interval 2.13 to 3.64)
5th of 218 FBS QBs in WAR · 6th of 162 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. Ryan HigginsQB451 plays · +0.335 pts/play · 5th of 218 QBs2.83WAR2.13 to 3.64
  2. Carlos HendersonWR112 plays · +0.253 pts/play · 3rd of 417 WRs0.53WAR0.39 to 0.68
  3. Trent TaylorWR138 plays · +0.179 pts/play · 4th of 417 WRs0.46WAR0.30 to 0.64
  4. Jarred CraftRB185 plays · +0.109 pts/play · 85th of 347 RBs0.38WAR0.23 to 0.52
  5. Jonathan BarnesPK18 plays · +0.469 pts/play · 23rd of 116 kickers0.16WAR0.10 to 0.21
  6. Gerald ShouseP27 plays · +0.079 pts/play · 76th of 82 punters0.04WAR−0.01 to 0.08
  7. Kam McKnightRB21 plays · +0.040 pts/play · 280th of 347 RBs0.02WAR−0.02 to 0.05
  8. Boston ScottRB10 plays · +0.012 pts/play · 296th of 347 RBs0.00WAR−0.01 to 0.02
By position group, against FBS
Quarterback
2.83WAR
5th of 127
Running backs
0.40WAR
107th of 127
Receivers
0.99WAR
2nd of 127
Tight ends
0.00WAR
100th of 127
Kicker
0.16WAR
24th of 127
Punter
0.04WAR
76th of 127
Line and defense, points per game vs the median FBS unit
Offensive line
+0.11/game
60th of 127
Front seven
+0.56/game
57th of 127
Secondary
−1.87/game
121st of 127

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 Louisiana Tech'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, 2016
  • Roster talent
    247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
    Roster talent: 451, 78th of 128 in FBS
  • Recruiting
    Average 247Sports class score over this season's class and the three before it.
    Recruiting: 130, 83rd of 128 in FBS
  • Returning production
    Share of last season's production (expected points added) by players still on the roster.
    Returning production: 36%, 112th of 128 in FBS
  • SP+ rating
    The result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
    SP+ rating: +3.1, 60th of 128 in FBS

Ranks and bars among the 128 FBS teams with a talent rating this season, best first; the line in each bar is the FBS median.

Talent conversion
+7.4points per game

Louisiana Tech's SP+ of +3.1 is 7.4 points above the −4.3 its roster talent predicts, 32nd of 128 in FBS.

Offense+13.9
Defense−6.9

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

−200+205001000Roster talent (247Sports composite)SP+ ratingAlabama: talent 983, SP+ +31.7 (+1.9 vs. talent)USC: talent 937, SP+ +23.6 (−2.3 vs. talent)LSU: talent 918, SP+ +25.3 (+1.0 vs. talent)Florida State: talent 907, SP+ +24.0 (+0.7 vs. talent)Ohio State: talent 902, SP+ +22.4 (−0.6 vs. talent)Georgia: talent 872, SP+ +9.3 (−11.3 vs. talent)Auburn: talent 865, SP+ +15.3 (−4.8 vs. talent)Michigan: talent 853, SP+ +24.4 (+5.3 vs. talent)Clemson: talent 846, SP+ +28.7 (+10.1 vs. talent)Notre Dame: talent 842, SP+ +15.7 (−2.6 vs. talent)Texas: talent 839, SP+ +10.6 (−7.4 vs. talent)UCLA: talent 819, SP+ +9.1 (−7.5 vs. talent)Texas A&M: talent 815, SP+ +12.0 (−4.2 vs. talent)Tennessee: talent 814, SP+ +16.3 (+0.1 vs. talent)Ole Miss: talent 808, SP+ +12.4 (−3.4 vs. talent)Florida: talent 798, SP+ +15.4 (+0.3 vs. talent)Stanford: talent 778, SP+ +16.4 (+2.8 vs. talent)Oklahoma: talent 777, SP+ +26.1 (+12.5 vs. talent)Miami: talent 746, SP+ +18.6 (+7.2 vs. talent)Penn State: talent 743, SP+ +19.0 (+7.8 vs. talent)Oregon: talent 738, SP+ +6.1 (−4.8 vs. talent)Michigan State: talent 720, SP+ +7.4 (−2.3 vs. talent)South Carolina: talent 707, SP+ −4.0 (−12.9 vs. talent)Washington: talent 700, SP+ +26.7 (+18.3 vs. talent)Arizona State: talent 694, SP+ −3.0 (−11.1 vs. talent)Nebraska: talent 692, SP+ +10.3 (+2.4 vs. talent)Arkansas: talent 689, SP+ +7.9 (+0.1 vs. talent)Mississippi State: talent 679, SP+ +5.4 (−1.8 vs. talent)North Carolina: talent 670, SP+ +15.9 (+9.3 vs. talent)TCU: talent 666, SP+ +11.0 (+4.7 vs. talent)West Virginia: talent 655, SP+ +11.3 (+5.6 vs. talent)Louisville: talent 654, SP+ +22.9 (+17.2 vs. talent)Kentucky: talent 652, SP+ −2.6 (−8.1 vs. talent)Maryland: talent 652, SP+ −0.6 (−6.1 vs. talent)Pittsburgh: talent 650, SP+ +13.1 (+7.7 vs. talent)Virginia Tech: talent 647, SP+ +15.2 (+10.0 vs. talent)Wisconsin: talent 644, SP+ +16.1 (+11.0 vs. talent)Missouri: talent 634, SP+ −1.0 (−5.5 vs. talent)Oklahoma State: talent 632, SP+ +16.4 (+12.0 vs. talent)Baylor: talent 619, SP+ +11.3 (+7.6 vs. talent)Vanderbilt: talent 619, SP+ −1.2 (−4.9 vs. talent)Virginia: talent 619, SP+ −3.8 (−7.5 vs. talent)Arizona: talent 616, SP+ −4.5 (−8.0 vs. talent)NC State: talent 616, SP+ +9.4 (+5.9 vs. talent)Northwestern: talent 614, SP+ +2.9 (−0.5 vs. talent)Texas Tech: talent 605, SP+ +3.7 (+0.8 vs. talent)California: talent 601, SP+ +2.4 (−0.3 vs. talent)Duke: talent 600, SP+ −2.8 (−5.4 vs. talent)Rutgers: talent 585, SP+ −14.9 (−16.8 vs. talent)Georgia Tech: talent 583, SP+ +7.8 (+6.1 vs. talent)Utah: talent 580, SP+ +10.9 (+9.3 vs. talent)Houston: talent 573, SP+ +10.1 (+8.9 vs. talent)Indiana: talent 565, SP+ +4.6 (+3.7 vs. talent)South Florida: talent 564, SP+ +9.8 (+9.0 vs. talent)Iowa: talent 559, SP+ +10.3 (+9.8 vs. talent)Iowa State: talent 552, SP+ +0.7 (+0.5 vs. talent)Boise State: talent 549, SP+ +11.5 (+11.5 vs. talent)Cincinnati: talent 542, SP+ −3.6 (−3.3 vs. talent)Minnesota: talent 535, SP+ +12.6 (+13.2 vs. talent)Boston College: talent 533, SP+ −1.6 (−0.9 vs. talent)BYU: talent 529, SP+ +8.0 (+8.9 vs. talent)Colorado: talent 526, SP+ +6.3 (+7.3 vs. talent)Oregon State: talent 525, SP+ −4.6 (−3.5 vs. talent)Illinois: talent 524, SP+ −6.7 (−5.5 vs. talent)Washington State: talent 523, SP+ +6.2 (+7.4 vs. talent)Syracuse: talent 520, SP+ −2.7 (−1.4 vs. talent)Wake Forest: talent 518, SP+ −0.6 (+0.8 vs. talent)Purdue: talent 513, SP+ −11.0 (−9.3 vs. talent)UCF: talent 510, SP+ −2.2 (−0.4 vs. talent)Kansas State: talent 505, SP+ +8.2 (+10.2 vs. talent)Temple: talent 493, SP+ +11.9 (+14.5 vs. talent)Kansas: talent 491, SP+ −15.9 (−13.3 vs. talent)Marshall: talent 485, SP+ −12.7 (−9.8 vs. talent)San Diego State: talent 482, SP+ +11.4 (+14.4 vs. talent)SMU: talent 474, SP+ −10.8 (−7.4 vs. talent)Arkansas State: talent 471, SP+ −1.2 (+2.3 vs. talent)Toledo: talent 461, SP+ +12.3 (+16.2 vs. talent)Memphis: talent 451, SP+ +7.7 (+12.0 vs. talent)Akron: talent 444, SP+ −5.6 (−1.0 vs. talent)Western Michigan: talent 443, SP+ +11.5 (+16.1 vs. talent)East Carolina: talent 442, SP+ −9.0 (−4.4 vs. talent)Southern Miss: talent 441, SP+ +0.7 (+5.4 vs. talent)San José State: talent 437, SP+ −13.6 (−8.8 vs. talent)Middle Tennessee: talent 437, SP+ −1.9 (+3.0 vs. talent)Georgia Southern: talent 435, SP+ −3.9 (+1.0 vs. talent)UConn: talent 424, SP+ −11.6 (−6.2 vs. talent)Louisiana: talent 421, SP+ −8.7 (−3.3 vs. talent)Miami (OH): talent 418, SP+ −6.1 (−0.5 vs. talent)Colorado State: talent 412, SP+ +0.8 (+6.6 vs. talent)Tulsa: talent 409, SP+ +7.4 (+13.3 vs. talent)Florida Atlantic: talent 408, SP+ −14.1 (−8.2 vs. talent)Fresno State: talent 405, SP+ −16.9 (−10.9 vs. talent)Northern Illinois: talent 403, SP+ −2.4 (+3.7 vs. talent)Western Kentucky: talent 402, SP+ +15.5 (+21.6 vs. talent)UTSA: talent 398, SP+ −11.2 (−4.9 vs. talent)Rice: talent 395, SP+ −16.5 (−10.1 vs. talent)Bowling Green: talent 393, SP+ −6.6 (−0.1 vs. talent)Central Michigan: talent 392, SP+ −6.1 (+0.4 vs. talent)Troy: talent 390, SP+ +1.1 (+7.6 vs. talent)Nevada: talent 390, SP+ −13.0 (−6.4 vs. talent)South Alabama: talent 389, SP+ −9.4 (−2.8 vs. talent)Tulane: talent 388, SP+ −14.6 (−8.0 vs. talent)New Mexico: talent 387, SP+ −5.1 (+1.5 vs. talent)Hawai'i: talent 385, SP+ −10.1 (−3.4 vs. talent)UNLV: talent 376, SP+ −14.3 (−7.3 vs. talent)Ohio: talent 373, SP+ −2.1 (+5.0 vs. talent)Massachusetts: talent 371, SP+ −15.3 (−8.1 vs. talent)Ball State: talent 366, SP+ −7.0 (+0.3 vs. talent)Florida International: talent 363, SP+ −19.0 (−11.6 vs. talent)Utah State: talent 357, SP+ −4.4 (+3.2 vs. talent)Texas State: talent 352, SP+ −25.5 (−17.7 vs. talent)North Texas: talent 352, SP+ −14.6 (−6.8 vs. talent)Eastern Michigan: talent 348, SP+ −8.2 (−0.3 vs. talent)Old Dominion: talent 347, SP+ −0.7 (+7.2 vs. talent)Buffalo: talent 344, SP+ −18.8 (−10.8 vs. talent)Navy: talent 343, SP+ +6.8 (+14.9 vs. talent)Kent State: talent 334, SP+ −12.0 (−3.7 vs. talent)App State: talent 333, SP+ +9.2 (+17.5 vs. talent)Charlotte: talent 331, SP+ −20.9 (−12.5 vs. talent)UL Monroe: talent 323, SP+ −21.3 (−12.7 vs. talent)Georgia State: talent 322, SP+ −12.1 (−3.4 vs. talent)Wyoming: talent 316, SP+ −6.9 (+1.9 vs. talent)UTEP: talent 290, SP+ −16.1 (−6.6 vs. talent)New Mexico State: talent 268, SP+ −17.2 (−7.2 vs. talent)Idaho: talent 257, SP+ −8.6 (+1.7 vs. talent)Army: talent 132, SP+ −9.9 (+2.4 vs. talent)Air Force: talent 45, SP+ +4.4 (+17.2 vs. talent)Louisiana Tech: talent 451, SP+ +3.1, expected −4.3Louisiana Tech
One dot per FBS team, 2016. The line is the SP+ a roster's talent predicts; the dashed gap is Louisiana Tech'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, 2016
Made the numbers' call

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

53 of 7472%71st of 128
FBS median 72%
Win probability given up

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

1.0 ptsper game33rd of 128
0.13 expected wins over 14 games, FBS median 1.3 pts
When going was clearly right

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

5 of 863%
FBS teams went 59%

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 Louisiana Tech's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 3 clear-cut ones account for 0.07 of the 0.13 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 MTSUQ3 7:40 4th & 1 at LT 38, up 13Punted; the numbers favored going for it−2.6 pts
  2. vs WKUQ4 2:23 4th & 4 at LT 43, up 3Punted; the numbers favored going for it−2.6 pts
  3. at ARKQ3 4:58 4th & 3 at ARK 3, up 3Kicked a field goal; the numbers favored going for it−2.2 pts
  4. at FIUQ2 10:40 4th & 3 at FIU 41, up 14Punted; the numbers favored going for it (close call)−1.0 pts
  5. at USMQ2 9:40 4th & 1 at LT 42, down 3Punted; the numbers favored going for it (close call)−1.0 pts
  6. at MTSUQ2 3:00 4th & 4 at MTSU 32, up 3Kicked a field goal; the numbers favored going for it (close call)−0.8 pts
  7. at MTSUQ2 10:31 4th & 3 at MTSU 3, tiedKicked a field goal; the numbers favored going for it (close call)−0.7 pts
  8. at FIUQ3 15:00 4th & 2 at FIU 47, up 17Punted; the numbers favored going for it (close call)−0.7 pts
Every call this season (74)
Wk 1 · at ARK · L 20-214 of 6 agreed
  1. Q1 1:094th & 2 at LT 45, tied · PuntedClose call
  2. Q2 11:054th & 4 at LT 14, tied · PuntedAgreed
  3. Q3 11:154th & 10 at ARK 26, tied · Kicked a field goalAgreed
  4. Q3 4:584th & 3 at ARK 3, up 3 · Kicked a field goal−2.2 pts
  5. Q4 14:144th & 7 at ARK 23, up 6 · Kicked a field goalAgreed
  6. Q4 3:354th & 20 at LT 38, down 1 · PuntedAgreed
Wk 2 · vs SCST · W 53-244 of 6 agreed
  1. Q1 9:214th & 14 at SCST 30, tied · Kicked a field goalAgreed
  2. Q1 6:194th & 1 at SCST 40, up 12 · Went for itAgreed
  3. Q3 13:234th & 7 at SCST 10, up 9 · Kicked a field goalAgreed
  4. Q3 4:164th & 7 at SCST 28, up 26 · Kicked a field goalAgreed
  5. Q3 2:474th & 4 at LT 29, up 29 · PuntedClose call
  6. Q4 4:264th & 6 at SCST 26, up 29 · Went for itClose call
Wk 3 · at TTU · L 45-594 of 6 agreed
  1. Q1 4:064th & 3 at TTU 3, down 7 · Kicked a field goalClose call
  2. Q1 3:014th & 9 at LT 19, down 11 · PuntedAgreed
  3. Q2 12:044th & 14 at LT 21, down 18 · PuntedAgreed
  4. Q2 9:014th & 10 at LT 25, down 25 · PuntedAgreed
  5. Q4 10:044th & 6 at TTU 41, down 18 · Went for itAgreed
  6. Q4 2:334th & 4 at TTU 49, down 21 · Went for itClose call
Wk 4 · at MTSU · L 34-386 of 9 agreed
  1. Q1 11:074th & 10 at LT 15, up 7 · PuntedAgreed
  2. Q1 3:394th & 7 at MTSU 49, up 7 · PuntedAgreed
  3. Q2 10:314th & 3 at MTSU 3, tied · Kicked a field goalClose call
  4. Q2 3:004th & 4 at MTSU 32, up 3 · Kicked a field goalClose call
  5. Q3 15:004th & 1 at MTSU 27, up 13 · Went for itAgreed
  6. Q3 7:404th & 1 at LT 38, up 13 · Punted−2.6 pts
  7. Q4 15:004th & 9 at MTSU 43, up 10 · PuntedAgreed
  8. Q4 11:114th & 18 at LT 25, up 3 · PuntedAgreed
  9. Q4 0:554th & 6 at MTSU 6, down 4 · Went for itAgreed
Wk 5 · vs UTEP · W 28-73 of 4 agreed
  1. Q2 11:254th & 8 at LT 10, up 14 · PuntedAgreed
  2. Q2 4:584th & 10 at UTEP 48, up 14 · PuntedAgreed
  3. Q3 14:064th & 2 at LT 33, up 14 · PuntedClose call
  4. Q3 9:354th & 9 at LT 16, up 14 · PuntedAgreed
Wk 6 · vs WKU · W 55-523 of 5 agreed
  1. Q2 4:544th & 1 at LT 40, up 4 · Went for itAgreed
  2. Q3 0:444th & 13 at WKU 27, up 18 · Kicked a field goalAgreed
  3. Q4 11:004th & 9 at WKU 37, up 14 · Kicked a field goalClose call
  4. Q4 5:024th & 18 at LT 41, up 10 · PuntedAgreed
  5. Q4 2:234th & 4 at LT 43, up 3 · Punted−2.6 pts
Wk 7 · at MASS · W 56-282 of 2 agreed
  1. Q1 11:394th & 14 at LT 45, up 7 · PuntedAgreed
  2. Q1 6:054th & 7 at LT 21, tied · PuntedAgreed
Wk 8 · at FIU · W 44-244 of 6 agreed
  1. Q1 5:484th & 6 at FIU 25, down 3 · Kicked a field goalAgreed
  2. Q2 10:404th & 3 at FIU 41, up 14 · PuntedClose call
  3. Q2 4:004th & 14 at FIU 14, up 14 · Kicked a field goalAgreed
  4. Q3 15:004th & 2 at FIU 47, up 17 · PuntedClose call
  5. Q3 9:164th & 7 at FIU 46, up 10 · PuntedAgreed
  6. Q4 10:364th & 6 at FIU 6, up 17 · Kicked a field goalAgreed
Wk 9 · vs RICE · W 61-164 of 4 agreed
  1. Q2 14:064th & 6 at LT 40, up 28 · PuntedAgreed
  2. Q2 4:384th & 7 at RICE 26, up 35 · Kicked a field goalAgreed
  3. Q4 11:484th & 12 at LT 34, up 52 · PuntedAgreed
  4. Q4 1:074th & 1 at LT 34, up 45 · Went for itAgreed
Wk 10 · at UNT · W 45-242 of 4 agreed
  1. Q2 0:144th & 10 at UNT 31, up 7 · Kicked a field goalAgreed
  2. Q3 13:004th & 10 at UNT 10, up 10 · Kicked a field goalAgreed
  3. Q4 11:324th & 10 at UNT 36, up 21 · PuntedClose call
  4. Q4 5:474th & 8 at UNT 39, up 21 · PuntedClose call
Wk 11 · vs UTSA · W 63-353 of 4 agreed
  1. Q1 8:054th & 2 at LT 45, tied · PuntedClose call
  2. Q3 3:164th & 17 at LT 42, up 28 · PuntedAgreed
  3. Q4 6:054th & 29 at LT 23, up 21 · PuntedAgreed
  4. Q4 6:054th & 9 at UTSA 27, up 28 · Kicked a field goalAgreed
Wk 13 · at USM · L 24-395 of 6 agreed
  1. Q1 0:364th & 10 at LT 17, down 3 · PuntedAgreed
  2. Q2 9:404th & 1 at LT 42, down 3 · PuntedClose call
  3. Q2 0:364th & 14 at USM 14, down 9 · Kicked a field goalAgreed
  4. Q3 11:504th & 9 at USM 24, down 6 · Kicked a field goalAgreed
  5. Q3 7:244th & 1 at USM 3, down 6 · Went for itAgreed
  6. Q4 7:484th & 9 at LT 26, down 15 · PuntedAgreed
Wk 14 · at WKU · L 44-587 of 9 agreed
  1. Q1 10:184th & 8 at WKU 8, down 3 · Kicked a field goalAgreed
  2. Q1 6:174th & 8 at LT 24, down 7 · PuntedAgreed
  3. Q2 8:264th & 6 at WKU 19, down 7 · Kicked a field goalAgreed
  4. Q2 2:394th & 27 at LT 37, down 11 · PuntedAgreed
  5. Q3 10:174th & 1 at WKU 1, down 4 · Went for itAgreed
  6. Q3 4:534th & 17 at LT 18, tied · PuntedAgreed
  7. Q4 14:084th & 4 at WKU 7, down 7 · Kicked a field goalClose call
  8. Q4 12:164th & 15 at LT 41, down 4 · PuntedAgreed
  9. Q4 5:354th & 9 at LT 39, down 7 · PuntedClose call
Lockheed Martin Armed Forces Bowl · at NAVY · W 48-452 of 3 agreed
  1. Q1 9:484th & 4 at NAVY 4, up 7 · Kicked a field goalClose call
  2. Q1 6:504th & 17 at LT 20, up 10 · PuntedAgreed
  3. Q2 13:044th & 12 at LT 24, up 3 · PuntedAgreed
After touchdowns: kick or go for two?
Made the numbers' call

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

71 of 7792%
FBS median 93%
Win probability given up

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

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

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

-
Never went for two
Costliest tries against the numbers
  1. at NAVYQ4 4:12 Touchdown, up 6 before the tryKicked; the numbers favored going for two (close call)−0.7 pts
  2. at USMQ4 0:57 Touchdown, down 16 before the tryKicked; the numbers favored going for two (close call)−0.1 pts
  3. at TTUQ4 0:23 Touchdown, down 15 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, 2016
9-5vs. 8.9 expected+0.1 wins

60th of 128 FBS teams at beating the model's pregame expectations

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

  1. L
  2. W
  3. L
  4. L
  5. W
  6. W
  7. W
  8. W
  9. W
  10. W
  11. W
  12. L
  13. L
  14. W
What moved it, 2016
+1.9 wins
before kickoff: being favored, vs. coin flips
+0.2 wins
on the field, after the opening snap

Every game starts at Louisiana Tech'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+0.38
  • Possession & field position+0.03
  • Clock+0.07
  • Less the pregame edge, counted before kickoff−0.31
Game by game

Points of win probability, from Louisiana Tech's side.

Closest call

LT 23-20 RICE (2019) - Louisiana Tech dropped to a 6.1% win probability before pulling it out.

Season arc, 2016

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

Biggest swings of 2016

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

Stolen wins

Louisiana Tech'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

Louisiana Tech'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

Louisiana Tech'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 ›
$100.51+6.7% over the past year
Series & rivalries

Louisiana Tech'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