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Maryland

Terrapins · Big Ten · FBS
5-72018 · 3-6 in conference
SP+
+3.0 (#59)
FPI
+4.6 (#50)
SRS
+4.0 (#51)
Resume
#81

Next game

RUTG
vs Rutgers
Sat, Oct 17 · 12:30 PM EDT
Projected score
MD31
RUTG27
Win chance
64%
MD 64%RUTG 36%
Market: MD favored by 4.5 · 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, 2018
Offense
EPAEPA per play: +0.13, 50th percentile among FBSSuccessSuccess rate: 40.3%, 23rd percentile among FBSExplosiveExplosiveness: +1.38, 96th percentile among FBSRush EPARushing EPA: +0.19, 86th percentile among FBSPass EPAPassing EPA: +0.06, 25th percentile among FBSStd downsStandard downs: 44.9%, 24th percentile among FBSPass downsPassing downs: 31.4%, 34th percentile among FBSLine ydsLine yards: 2.94, 53rd percentile among FBSStuffsStuff rate: 22.5%, 19th percentile among FBSHavocHavoc: 18.2%, 19th percentile among FBS
Defense
EPAEPA per play: +0.08, 57th percentile among FBSSuccessSuccess rate: 44.1%, 37th percentile among FBSExplosiveExplosiveness: +1.11, 81st percentile among FBSRush EPARushing EPA: +0.09, 40th percentile among FBSPass EPAPassing EPA: +0.08, 69th percentile among FBSStd downsStandard downs: 50.0%, 27th percentile among FBSPass downsPassing downs: 31.6%, 61st percentile among FBSLine ydsLine yards: 3.12, 17th percentile among FBSStuffsStuff rate: 16.6%, 17th percentile among FBSHavocHavoc: 13.7%, 12th 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, 2018
Per drive

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

Offense+0.1965th of 130
Defense−0.02allowed60th of 130
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense+0.3154th of 130
Defense−0.03allowed50th of 130
Finishing

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

Offense+0.084.0 pts/trip60th of 130
Defense+0.334.1 pts/trip allowed99th of 130
Field position

Average expected points where drives started.

Offense1.0684th of 130
Defense1.10opponents73rd 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 Maryland 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 Maryland.

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, 2018
The quarterback
Kasim Hill: 0.56 WAR (90% interval 0.28 to 0.84)
132nd of 225 FBS QBs in WAR · 128th of 172 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. Kasim HillQB178 plays · +0.169 pts/play · 132nd of 225 QBs0.56WAR0.28 to 0.84
  2. Anthony McFarland Jr.RB111 plays · +0.196 pts/play · 86th of 351 RBs0.41WAR0.31 to 0.50
  3. Tyrrell PigromeQB88 plays · +0.175 pts/play · 168th of 225 QBs0.29WAR0.13 to 0.48
  4. Ty JohnsonRB58 plays · +0.185 pts/play · 210th of 351 RBs0.20WAR0.16 to 0.24
  5. Wade LeesP55 plays · +0.087 pts/play · 31st of 91 punters0.09WAR0.02 to 0.15
  6. Taivon JacobsWR48 plays · +0.066 pts/play · 285th of 434 WRs0.06WAR0.00 to 0.11
  7. Lorenzo Harrison IIIRB11 plays · +0.180 pts/play · 285th of 351 RBs0.04WAR0.03 to 0.05
  8. Jeshaun JonesWR15 plays · +0.068 pts/play · 390th of 434 WRs0.02WAR0.00 to 0.04
By position group, against FBS
Quarterback
0.85WAR
119th of 130
Running backs
0.65WAR
85th of 130
Receivers
0.08WAR
124th of 130
Tight ends
0.00WAR
113th of 130
Kicker
0.00WAR
106th of 130
Punter
0.09WAR
31st of 130
Line and defense, points per game vs the median FBS unit
Offensive line
+1.30/game
19th of 130
Front seven
−0.26/game
69th of 130
Secondary
+1.05/game
37th 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 Maryland'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, 2018
  • Roster talent
    247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
    Roster talent: 726, 24th of 130 in FBS
  • Recruiting
    Average 247Sports class score over this season's class and the three before it.
    Recruiting: 205, 32nd of 130 in FBS
  • Returning production
    Share of last season's production (expected points added) by players still on the roster.
    Returning production: 67%, 57th of 129 in FBS
  • SP+ rating
    The result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
    SP+ rating: +3.0, 59th 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
−6.8points per game

Maryland's SP+ of +3.0 is 6.8 points below the +9.8 its roster talent predicts, 98th of 130 in FBS.

Offense−4.8
Defense−3.0

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

−200+205001000Roster talent (247Sports composite)SP+ ratingOhio State: talent 984, SP+ +24.1 (−5.5 vs. talent)Alabama: talent 979, SP+ +36.3 (+7.3 vs. talent)Georgia: talent 964, SP+ +32.9 (+5.1 vs. talent)USC: talent 934, SP+ +9.7 (−15.5 vs. talent)Clemson: talent 893, SP+ +29.7 (+7.8 vs. talent)LSU: talent 890, SP+ +24.2 (+2.6 vs. talent)Florida State: talent 889, SP+ +1.4 (−20.1 vs. talent)Michigan: talent 862, SP+ +22.0 (+2.5 vs. talent)Texas: talent 861, SP+ +11.3 (−8.1 vs. talent)Notre Dame: talent 848, SP+ +20.7 (+2.3 vs. talent)Oklahoma: talent 844, SP+ +24.9 (+6.8 vs. talent)Penn State: talent 834, SP+ +19.0 (+1.7 vs. talent)Florida: talent 832, SP+ +23.0 (+5.8 vs. talent)Auburn: talent 827, SP+ +23.6 (+6.8 vs. talent)Tennessee: talent 827, SP+ +5.5 (−11.3 vs. talent)Texas A&M: talent 806, SP+ +21.6 (+6.4 vs. talent)Stanford: talent 787, SP+ +13.0 (−0.9 vs. talent)Washington: talent 773, SP+ +19.9 (+7.0 vs. talent)UCLA: talent 754, SP+ −0.4 (−12.1 vs. talent)Miami: talent 754, SP+ +12.7 (+1.1 vs. talent)South Carolina: talent 750, SP+ +14.9 (+3.5 vs. talent)Ole Miss: talent 734, SP+ +9.8 (−0.5 vs. talent)Mississippi State: talent 730, SP+ +23.2 (+13.1 vs. talent)Nebraska: talent 711, SP+ +5.4 (−3.5 vs. talent)Oregon: talent 696, SP+ +7.3 (−0.6 vs. talent)Arkansas: talent 695, SP+ +4.5 (−3.3 vs. talent)North Carolina: talent 688, SP+ −2.5 (−9.9 vs. talent)Arizona State: talent 688, SP+ +5.0 (−2.4 vs. talent)Virginia Tech: talent 676, SP+ +3.9 (−2.8 vs. talent)TCU: talent 672, SP+ +6.9 (+0.5 vs. talent)Kentucky: talent 670, SP+ +13.1 (+6.8 vs. talent)Baylor: talent 668, SP+ +2.0 (−4.2 vs. talent)Michigan State: talent 659, SP+ +11.5 (+5.8 vs. talent)Wisconsin: talent 654, SP+ +15.5 (+10.1 vs. talent)West Virginia: talent 647, SP+ +13.2 (+8.2 vs. talent)Oklahoma State: talent 645, SP+ +13.8 (+8.9 vs. talent)Pittsburgh: talent 638, SP+ +2.7 (−1.8 vs. talent)Duke: talent 636, SP+ +5.0 (+0.7 vs. talent)Louisville: talent 632, SP+ −9.1 (−13.3 vs. talent)NC State: talent 629, SP+ +9.4 (+5.4 vs. talent)Iowa: talent 615, SP+ +13.3 (+10.1 vs. talent)Vanderbilt: talent 612, SP+ +7.6 (+4.6 vs. talent)Northwestern: talent 609, SP+ +1.9 (−1.0 vs. talent)California: talent 596, SP+ +3.9 (+1.7 vs. talent)Missouri: talent 595, SP+ +20.8 (+18.7 vs. talent)Utah: talent 595, SP+ +16.8 (+14.7 vs. talent)Minnesota: talent 589, SP+ +6.3 (+4.5 vs. talent)Georgia Tech: talent 583, SP+ +0.3 (−1.2 vs. talent)Arizona: talent 581, SP+ +3.6 (+2.2 vs. talent)Houston: talent 577, SP+ +2.3 (+1.1 vs. talent)Iowa State: talent 576, SP+ +7.9 (+6.8 vs. talent)Colorado: talent 576, SP+ −0.7 (−1.8 vs. talent)Syracuse: talent 570, SP+ +7.5 (+6.6 vs. talent)UCF: talent 568, SP+ +16.5 (+15.7 vs. talent)BYU: talent 566, SP+ +6.2 (+5.6 vs. talent)Indiana: talent 564, SP+ +1.6 (+1.0 vs. talent)Illinois: talent 563, SP+ −7.9 (−8.4 vs. talent)Texas Tech: talent 562, SP+ +8.7 (+8.3 vs. talent)Rutgers: talent 555, SP+ −12.3 (−12.4 vs. talent)Washington State: talent 555, SP+ +11.3 (+11.2 vs. talent)South Florida: talent 549, SP+ −1.2 (−1.0 vs. talent)Kansas State: talent 547, SP+ −0.5 (−0.2 vs. talent)Cincinnati: talent 544, SP+ +5.4 (+5.8 vs. talent)Boise State: talent 543, SP+ +12.2 (+12.7 vs. talent)Virginia: talent 542, SP+ +7.1 (+7.6 vs. talent)Florida Atlantic: talent 538, SP+ −0.8 (−0.1 vs. talent)Oregon State: talent 535, SP+ −16.0 (−15.2 vs. talent)Boston College: talent 533, SP+ +2.4 (+3.3 vs. talent)Wake Forest: talent 525, SP+ +3.6 (+4.9 vs. talent)Purdue: talent 520, SP+ +6.5 (+8.0 vs. talent)Kansas: talent 517, SP+ −10.0 (−8.3 vs. talent)SMU: talent 485, SP+ −5.4 (−2.3 vs. talent)Memphis: talent 480, SP+ +9.2 (+12.5 vs. talent)Colorado State: talent 480, SP+ −10.3 (−7.0 vs. talent)Temple: talent 478, SP+ +2.9 (+6.3 vs. talent)Louisiana Tech: talent 478, SP+ −6.9 (−3.5 vs. talent)Florida International: talent 477, SP+ −7.4 (−4.0 vs. talent)San Diego State: talent 473, SP+ +6.0 (+9.6 vs. talent)Toledo: talent 464, SP+ +2.0 (+6.0 vs. talent)Fresno State: talent 459, SP+ +17.4 (+21.6 vs. talent)Marshall: talent 452, SP+ +1.0 (+5.5 vs. talent)Tulane: talent 445, SP+ −3.5 (+1.2 vs. talent)Western Michigan: talent 442, SP+ −10.7 (−5.9 vs. talent)East Carolina: talent 434, SP+ −14.9 (−9.8 vs. talent)Arkansas State: talent 434, SP+ +1.2 (+6.3 vs. talent)Nevada: talent 432, SP+ −0.5 (+4.7 vs. talent)Northern Illinois: talent 432, SP+ −2.7 (+2.5 vs. talent)San José State: talent 431, SP+ −17.1 (−11.8 vs. talent)Miami (OH): talent 421, SP+ −0.7 (+4.9 vs. talent)Middle Tennessee: talent 414, SP+ −3.8 (+2.1 vs. talent)Central Michigan: talent 414, SP+ −20.0 (−14.1 vs. talent)New Mexico: talent 412, SP+ −9.5 (−3.6 vs. talent)UTSA: talent 405, SP+ −22.1 (−15.9 vs. talent)Georgia State: talent 404, SP+ −20.4 (−14.2 vs. talent)UNLV: talent 401, SP+ −11.1 (−4.8 vs. talent)South Alabama: talent 394, SP+ −17.7 (−11.1 vs. talent)UConn: talent 389, SP+ −26.4 (−19.7 vs. talent)Massachusetts: talent 389, SP+ −16.1 (−9.4 vs. talent)UAB: talent 388, SP+ −0.3 (+6.5 vs. talent)Southern Miss: talent 387, SP+ −5.0 (+1.8 vs. talent)Utah State: talent 377, SP+ +14.2 (+21.3 vs. talent)Louisiana: talent 377, SP+ −6.9 (+0.2 vs. talent)Bowling Green: talent 375, SP+ −22.0 (−14.8 vs. talent)Rice: talent 375, SP+ −26.4 (−19.2 vs. talent)Buffalo: talent 369, SP+ −1.1 (+6.3 vs. talent)North Texas: talent 369, SP+ +2.1 (+9.5 vs. talent)Tulsa: talent 368, SP+ −11.2 (−3.8 vs. talent)Ball State: talent 362, SP+ −18.9 (−11.3 vs. talent)Akron: talent 361, SP+ −19.3 (−11.7 vs. talent)App State: talent 356, SP+ +11.9 (+19.7 vs. talent)Western Kentucky: talent 353, SP+ −16.1 (−8.2 vs. talent)Troy: talent 352, SP+ +2.6 (+10.5 vs. talent)Kent State: talent 352, SP+ −20.4 (−12.5 vs. talent)Navy: talent 349, SP+ −10.2 (−2.2 vs. talent)Wyoming: talent 348, SP+ +1.9 (+9.9 vs. talent)Ohio: talent 346, SP+ +4.0 (+12.1 vs. talent)UTEP: talent 346, SP+ −26.6 (−18.5 vs. talent)Eastern Michigan: talent 344, SP+ −2.0 (+6.2 vs. talent)Hawai'i: talent 344, SP+ −10.4 (−2.2 vs. talent)Old Dominion: talent 333, SP+ −14.1 (−5.6 vs. talent)UL Monroe: talent 327, SP+ −10.9 (−2.2 vs. talent)Charlotte: talent 311, SP+ −18.5 (−9.4 vs. talent)Georgia Southern: talent 303, SP+ −2.4 (+6.9 vs. talent)Texas State: talent 303, SP+ −16.4 (−7.1 vs. talent)Coastal Carolina: talent 284, SP+ −17.2 (−7.4 vs. talent)New Mexico State: talent 249, SP+ −20.2 (−9.7 vs. talent)Army: talent 231, SP+ −1.5 (+9.4 vs. talent)Air Force: talent 186, SP+ −1.8 (+9.9 vs. talent)Liberty: talent 94, SP+ −19.7 (−7.1 vs. talent)Maryland: talent 726, SP+ +3.0, expected +9.8Maryland
One dot per FBS team, 2018. The line is the SP+ a roster's talent predicts; the dashed gap is Maryland'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, 2018
Made the numbers' call

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

57 of 8865%124th of 130
FBS median 75%
Win probability given up

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

2.2 ptsper game123rd of 130
0.26 expected wins over 12 games, FBS median 1.1 pts
When going was clearly right

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

4 of 850%
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 Maryland's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 7 clear-cut ones account for 0.21 of the 0.26 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. vs TEMQ4 4:04 4th & 16 at MD 49, tiedWent for it; the numbers favored punting−7.0 pts
  2. vs TEXQ4 6:45 4th & 2 at TEX 2, up 2Kicked a field goal; the numbers favored going for it−6.2 pts
  3. vs TEMQ4 14:54 4th & 12 at TEM 26, tiedWent for it; the numbers favored a field goal−2.8 pts
  4. vs TEXQ4 2:43 4th & 6 at TEX 45, up 5Punted; the numbers favored going for it−1.4 pts
  5. at IUQ3 5:44 4th & 3 at MD 47, down 8Punted; the numbers favored going for it−1.2 pts
  6. vs OSUQ4 9:00 4th & 8 at OSU 46, tiedWent for it; the numbers favored punting−1.1 pts
  7. vs TEXQ2 12:57 4th & 3 at TEX 45, up 10Punted; the numbers favored going for it−1.0 pts
  8. vs TEMQ2 6:31 4th & 2 at TEM 48, down 14Punted; the numbers favored going for it (close call)−0.8 pts
Every call this season (88)
Wk 1 · vs TEX · W 34-295 of 11 agreed
  1. Q1 10:334th & 3 at MD 29, up 7 · PuntedClose call
  2. Q1 7:184th & 4 at TEX 40, up 7 · PuntedClose call
  3. Q2 14:264th & 3 at TEX 16, up 7 · Kicked a field goalClose call
  4. Q2 12:574th & 3 at TEX 45, up 10 · Punted−1.0 pts
  5. Q2 6:514th & 5 at MD 30, up 10 · PuntedAgreed
  6. Q3 13:024th & 12 at TEX 39, up 2 · PuntedAgreed
  7. Q3 6:474th & 1 at MD 36, up 2 · Went for itAgreed
  8. Q3 4:144th & 6 at TEX 34, down 5 · Went for itAgreed
  9. Q4 6:454th & 2 at TEX 2, up 2 · Kicked a field goal−6.2 pts
  10. Q4 6:094th & 9 at TEX 46, up 5 · PuntedAgreed
  11. Q4 2:434th & 6 at TEX 45, up 5 · Punted−1.4 pts
Wk 2 · at BGSU · W 45-141 of 4 agreed
  1. Q1 15:004th & 2 at MD 46, tied · PuntedClose call
  2. Q1 8:584th & 19 at BGSU 36, tied · PuntedClose call
  3. Q2 15:004th & 6 at BGSU 45, down 7 · PuntedClose call
  4. Q3 13:274th & 22 at MD 34, down 4 · PuntedAgreed
Wk 3 · vs TEM · L 14-356 of 10 agreed
  1. Q1 15:004th & 13 at MD 29, tied · PuntedAgreed
  2. Q1 12:174th & 18 at MD 12, tied · PuntedAgreed
  3. Q1 8:334th & 6 at TEM 44, tied · PuntedClose call
  4. Q1 2:284th & 6 at MD 28, down 7 · PuntedAgreed
  5. Q2 14:004th & 6 at MD 14, down 7 · PuntedAgreed
  6. Q2 6:314th & 2 at TEM 48, down 14 · PuntedClose call
  7. Q3 12:024th & 13 at MD 27, tied · PuntedAgreed
  8. Q3 5:064th & 10 at MD 29, tied · PuntedAgreed
  9. Q4 14:544th & 12 at TEM 26, tied · Went for it−2.8 pts
  10. Q4 4:044th & 16 at MD 49, tied · Went for it−7.0 pts
Wk 4 · vs MINN · W 42-135 of 6 agreed
  1. Q1 15:004th & 2 at MINN 36, tied · Went for itAgreed
  2. Q1 8:484th & 5 at MD 16, up 7 · PuntedAgreed
  3. Q2 14:004th & 11 at MD 19, up 11 · PuntedAgreed
  4. Q2 10:574th & 2 at MD 17, up 11 · PuntedClose call
  5. Q2 2:314th & 6 at MD 28, up 18 · PuntedAgreed
  6. Q4 13:394th & 6 at MD 19, up 22 · PuntedAgreed
Wk 6 · at MICH · L 21-424 of 6 agreed
  1. Q1 8:544th & 20 at MICH 45, tied · PuntedAgreed
  2. Q1 3:094th & 8 at MD 26, tied · PuntedAgreed
  3. Q2 14:274th & 4 at MICH 44, up 4 · PuntedClose call
  4. Q2 5:224th & 15 at MD 35, down 3 · PuntedAgreed
  5. Q3 5:264th & 7 at MD 5, down 13 · PuntedAgreed
  6. Q4 13:034th & 6 at MICH 15, down 20 · Went for itClose call
Wk 7 · vs RUTG · W 34-73 of 8 agreed
  1. Q1 15:004th & 3 at RUTG 48, tied · PuntedClose call
  2. Q1 9:304th & 8 at RUTG 44, tied · PuntedAgreed
  3. Q1 0:004th & 9 at RUTG 22, up 7 · Kicked a field goalAgreed
  4. Q2 2:514th & 7 at MD 40, up 24 · PuntedClose call
  5. Q3 9:004th & 4 at RUTG 8, up 24 · Kicked a field goalClose call
  6. Q3 4:514th & 15 at MD 40, up 34 · PuntedAgreed
  7. Q4 13:474th & 2 at MD 46, up 34 · PuntedClose call
  8. Q4 7:494th & 1 at MD 32, up 34 · PuntedClose call
Wk 8 · at IOWA · L 0-235 of 6 agreed
  1. Q1 9:074th & 3 at MD 45, tied · PuntedClose call
  2. Q2 14:034th & 17 at MD 18, down 3 · PuntedAgreed
  3. Q3 12:484th & 18 at MD 17, down 13 · PuntedAgreed
  4. Q3 5:514th & 9 at MD 26, down 16 · PuntedAgreed
  5. Q3 0:004th & 21 at MD 35, down 23 · PuntedAgreed
  6. Q4 8:474th & 10 at MD 33, down 23 · PuntedAgreed
Wk 9 · vs ILL · W 63-332 of 3 agreed
  1. Q1 15:004th & 17 at MD 15, tied · PuntedAgreed
  2. Q1 3:434th & 8 at MD 39, up 11 · PuntedAgreed
  3. Q4 9:554th & 5 at ILL 46, up 30 · PuntedClose call
Wk 10 · vs MSU · L 3-246 of 9 agreed
  1. Q1 13:554th & 2 at MD 33, tied · PuntedClose call
  2. Q1 2:024th & 8 at MD 27, down 10 · PuntedAgreed
  3. Q2 12:204th & 6 at MSU 42, down 10 · PuntedClose call
  4. Q2 5:134th & 6 at MSU 6, down 10 · Kicked a field goalAgreed
  5. Q3 10:104th & 16 at MD 7, down 7 · PuntedAgreed
  6. Q3 2:294th & 12 at MD 30, down 14 · PuntedAgreed
  7. Q4 12:124th & 18 at MSU 37, down 14 · PuntedClose call
  8. Q4 9:254th & 7 at MSU 42, down 21 · Went for itAgreed
  9. Q4 3:574th & 14 at MD 41, down 21 · PuntedAgreed
Wk 11 · at IU · L 32-346 of 7 agreed
  1. Q1 10:054th & 12 at IU 12, tied · Kicked a field goalAgreed
  2. Q1 2:504th & 13 at IU 14, up 3 · Kicked a field goalAgreed
  3. Q2 15:004th & 8 at MD 48, up 6 · PuntedAgreed
  4. Q2 0:074th & 3 at IU 14, down 9 · Kicked a field goalAgreed
  5. Q3 5:444th & 3 at MD 47, down 8 · Punted−1.2 pts
  6. Q4 15:004th & 1 at IU 37, down 8 · Went for itAgreed
  7. Q4 12:254th & 10 at IU 21, down 8 · Kicked a field goalAgreed
Wk 12 · vs OSU · L 51-526 of 8 agreed
  1. Q1 2:064th & 7 at OSU 19, up 11 · Kicked a field goalAgreed
  2. Q2 10:324th & 25 at OSU 32, up 14 · Kicked a field goalAgreed
  3. Q2 7:384th & 3 at OSU 37, up 7 · Went for itAgreed
  4. Q2 1:224th & 3 at OSU 49, up 7 · PuntedClose call
  5. Q3 8:134th & 4 at MD 41, up 7 · PuntedAgreed
  6. Q3 4:044th & 5 at OSU 49, up 7 · PuntedAgreed
  7. Q4 14:554th & 12 at MD 4, up 7 · PuntedAgreed
  8. Q4 9:004th & 8 at OSU 46, tied · Went for it−1.1 pts
Wk 13 · at PSU · L 3-388 of 10 agreed
  1. Q1 10:234th & 10 at MD 38, down 7 · PuntedAgreed
  2. Q1 4:534th & 6 at PSU 9, down 7 · Kicked a field goalAgreed
  3. Q2 12:564th & 4 at PSU 42, down 11 · PuntedClose call
  4. Q2 6:014th & 11 at MD 35, down 11 · PuntedAgreed
  5. Q2 0:414th & 15 at midfield, down 14 · PuntedAgreed
  6. Q3 12:454th & 5 at MD 40, down 14 · PuntedAgreed
  7. Q3 7:294th & 3 at MD 42, down 21 · PuntedClose call
  8. Q4 14:554th & 7 at PSU 14, down 21 · Kicked a field goalAgreed
  9. Q4 9:224th & 8 at MD 39, down 28 · PuntedAgreed
  10. Q4 3:044th & 13 at MD 42, down 35 · PuntedAgreed
After touchdowns: kick or go for two?
Made the numbers' call

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

36 of 4090%
FBS median 91%
Win probability given up

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

0.3 ptsthis season
FBS median 0.8 pts
When two was clearly right

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

-
Went for two 2 times, converted 1
Costliest tries against the numbers
  1. at BGSUQ4 5:57 Touchdown, up 23 before the tryKicked; the numbers favored going for two (close call)−0.2 pts
  2. at IUQ3 6:45 Touchdown, down 10 before the tryWent for two; the numbers favored kicking (close call)−0.1 pts
  3. at BGSUQ4 3:12 Touchdown, up 30 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, 2018
5-7vs. 5.9 expected−0.9 wins

96th of 130 FBS teams at beating the model's pregame expectations

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

  1. W
  2. W
  3. L
  4. W
  5. L
  6. W
  7. L
  8. W
  9. L
  10. L
  11. L
  12. L
What moved it, 2018
−0.1 wins
before kickoff: being favored, vs. coin flips
+0.2 wins
on the field, after the opening snap

Every game starts at Maryland'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−0.28
  • Possession & field position+0.05
  • Clock+0.11
  • Timeouts−0.18
  • Less the pregame edge, counted before kickoff+0.50
Game by game

Points of win probability, from Maryland's side.

Closest call

MD 20-17 ILL (2021) - Maryland dropped to a 1.0% win probability before pulling it out.

Season arc, 2018

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

Biggest swings of 2018

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

Stolen wins

Maryland'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

Maryland'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

Maryland'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 ›
$88.70-10.2% over the past year
Series & rivalries

Maryland'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