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New Mexico

Lobos · Mountain West · FBS
5-72024 · 3-4 in conference
SP+
−14.8 (#116)
FPI
−10.0 (#106)
SRS
−12.4 (#122)
Resume
#109

Next game

HAW
at Hawai'i
Sat, Oct 17 · 10:30 PM EDT
Projected score
UNM34
HAW15
Win chance
81%
UNM 81%HAW 19%
Market: UNM favored by 14.5 · 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, 2024
Offense
EPAEPA per play: +0.26, 92nd percentile among FBSSuccessSuccess rate: 48.9%, 95th percentile among FBSExplosiveExplosiveness: +1.23, 38th percentile among FBSRush EPARushing EPA: +0.35, 99th percentile among FBSPass EPAPassing EPA: +0.17, 45th percentile among FBSStd downsStandard downs: 53.1%, 92nd percentile among FBSPass downsPassing downs: 37.4%, 93rd percentile among FBSLine ydsLine yards: 3.81, 99th percentile among FBSStuffsStuff rate: 11.4%, 98th percentile among FBSHavocHavoc: 12.5%, 86th percentile among FBS
Defense
EPAEPA per play: +0.31, 2nd percentile among FBSSuccessSuccess rate: 50.4%, 2nd percentile among FBSExplosiveExplosiveness: +1.27, 47th percentile among FBSRush EPARushing EPA: +0.15, 23rd percentile among FBSPass EPAPassing EPA: +0.49, 2nd percentile among FBSStd downsStandard downs: 54.6%, 4th percentile among FBSPass downsPassing downs: 38.3%, 4th percentile among FBSLine ydsLine yards: 3.26, 23rd percentile among FBSStuffsStuff rate: 15.9%, 29th percentile among FBSHavocHavoc: 13.8%, 17th 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 134 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, 2024
Per drive

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

Offense+1.1812th of 134
Defense+1.70allowed134th of 134
Adjusted for opponents

Per drive against an average FBS opponent, neutral field.

Offense+0.7826th of 134
Defense+1.83allowed134th of 134
Finishing

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

Offense+0.324.1 pts/trip50th of 134
Defense+1.124.8 pts/trip allowed133rd of 134
Field position

Average expected points where drives started.

Offense0.83127th of 134
Defense1.02opponents63rd of 134

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 New Mexico 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 New Mexico.

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, 2024
The quarterback
Devon Dampier: 2.19 WAR (90% interval 1.51 to 2.80)
17th of 232 FBS QBs in WAR · 15th of 169 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. Devon DampierQB377 plays · +0.310 pts/play · 17th of 232 QBs2.19WAR1.51 to 2.80
  2. Eli SandersRB108 plays · +0.138 pts/play · 98th of 373 RBs0.28WAR0.20 to 0.35
  3. Ryan DavisWR41 plays · +0.166 pts/play · 107th of 452 WRs0.13WAR0.05 to 0.20
  4. NaQuari RogersRB44 plays · +0.128 pts/play · 239th of 373 RBs0.11WAR0.08 to 0.13
  5. Caleb MedfordWR17 plays · +0.252 pts/play · 178th of 452 WRs0.08WAR0.03 to 0.14
  6. Luke DrzewieckiPK11 plays · +0.345 pts/play · 70th of 114 kickers0.07WAR0.05 to 0.09
  7. Luke WysongWR41 plays · +0.048 pts/play · 284th of 452 WRs0.04WAR−0.02 to 0.10
  8. Javen JacobsRB11 plays · +0.074 pts/play · 332nd of 373 RBs0.02WAR−0.01 to 0.03
Every player (10)
  1. Trace BrucklerTE12 plays · +0.058 pts/play · 153rd of 221 TEs0.01WAR−0.01 to 0.04
  2. Aaron RodriguezP29 plays · −0.049 pts/play · 104th of 106 punters−0.03WAR−0.09 to 0.03
By position group, against FBS
Quarterback
2.19WAR
19th of 134
Running backs
0.40WAR
107th of 134
Receivers
0.24WAR
67th of 134
Tight ends
0.01WAR
113th of 134
Kicker
0.07WAR
70th of 134
Punter
−0.03WAR
132nd of 134
Line and defense, points per game vs the median FBS unit
Offensive line
+1.12/game
6th of 134
Front seven
−0.95/game
98th of 134
Secondary
−6.28/game
133rd of 134

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 New Mexico'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

Transfer portal, 2024

28 players transferred in and 23 out. WAR is each one's 2023 season, before the move. Every team's portal

Brought in
0.15WAR
78th most of 134
FBS median 0.27
Lost
0.26WAR
65th least of 134
FBS median 0.27
Net
−0.11WAR
78th of 134
FBS median −0.00

In 2024, the arrivals have added 0.40 WAR at New Mexico and the departures 0.14 wherever they went.

Arrivals (28)20232024
  1. Eli SandersRB · 3★from Iowa State0.150.28
  2. Javen JacobsRB · 3★from Arizona State-0.02
  3. NaQuari RogersRBfrom Campbell-0.11
The other 25
  1. Randolph KpaiLB · 4★from Nebraska--
  2. Antoineo Harris Jr.EDGE · 3★from Indiana State--
  3. Baraka BeckettIOL · 3★from Campbell--
  4. Cameron WattsCB · 3★from Texas Tech--
  5. De'jon BentonDL · 3★from USC--
  6. Devin BrandtDL · 3★from Old Dominion--
  7. Dominic TatumS · 3★from Washington State--
  8. Elvin HarrisOT · 3★from Campbell--
  9. Isaiah JonesWR · 3★from Syracuse--
  10. Ish BurdineS · 3★from TCU--
  11. Jahvante RoyalCB · 3★from Pittsburgh--
  12. James BaileyIOL · 3★from Texas A&M--
  13. Jawaun SingletaryIOL · 3★from Grambling--
  14. Lajuan OwensIOL · 3★from Tulane--
  15. Moso TuiteleEDGE · 3★from California--
  16. Nigel WilliamsCB · 3★from Northwestern--
  17. Noah AvingerCB · 3★from San Diego State--
  18. Okiki OlorunfunmiEDGE · 3★from Weber State--
  19. Richard PearceIOL · 3★from East Carolina--
  20. Shawn MillerWR · 3★from Illinois--
  21. Sol-Jay MaiavaQB · 3★from BYU--
  22. Tevin ShawIOL · 3★from Houston--
  23. Tirek Austin-CaveLB · 3★from West Virginia--
  24. Wallace UnambaOT · 3★from Florida Atlantic--
  25. Garrison WalkerDLfrom Auburn--
Departures (23)20232024
  1. Jacory Croskey-MerrittRB · 3★to Arizona0.260.02
  2. Christian WashingtonRB · 3★to Coastal Carolina-0.12
The other 21
  1. D'Arco Perkins-McAllisterCB · 4★to Chattanooga--
  2. J.C. DavisOT · 4★to Illinois--
  3. Alec MarencoLB · 3★to Kansas State--
  4. Austin AckelLB · 3★to UL Monroe--
  5. CJ JamesIOL · 3★to UTSA--
  6. David RowaiyeDL · 3★to undecided--
  7. DC TabscottQB · 3★to North Alabama--
  8. Desna WashingtonWR · 3★to Florida International--
  9. Devon SmithOT · 3★to UL Monroe--
  10. DJ WingfieldIOL · 3★to Purdue--
  11. Duece JonesWR · 3★to Grambling--
  12. Jake GodfreyWR · 3★to UL Monroe--
  13. Jermarius LewisS · 3★to UTSA--
  14. Kaydin PopeWR · 3★to undecided--
  15. Reese SteeleIOL · 3★to UL Monroe--
  16. Sam TelesaIOL · 3★to UL Monroe--
  17. Wyatt McClourTE · 3★to UL Monroe--
  18. Zach MorrisCB · 3★to UTSA--
  19. Tate ZimmermanLB · 2★to undecided--
  20. Ezra SextonWRto East Tennessee State--
  21. Hunter RapollaEDGEto UTEP--

Only quarterbacks, skill players and specialists have a WAR of their own, so they make up these totals; linemen and defenders count in the moves but add none. 2023 is the player's season at his old school, 2024 his season after the move. A dash means no FBS snaps that season. Rosters tie CFBD's portal entries to players, which works for about 19 in 20 skill-position moves.

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, 2024
  • Roster talent
    247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
    Roster talent: 465, 118th of 131 in FBS
  • Recruiting
    Average 247Sports class score over this season's class and the three before it.
    Recruiting: 87, 128th of 131 in FBS
  • Returning production
    Share of last season's production (expected points added) by players still on the roster.
    Returning production: 35%, 87th 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: −14.8, 113th of 131 in FBS

Ranks and bars among the 131 FBS teams with a talent rating this season, best first; the line in each bar is the FBS median.

Talent conversion
−7.1points per game

New Mexico's SP+ of −14.8 is 7.1 points below the −7.7 its roster talent predicts, 106th of 131 in FBS.

Offense+3.3
Defense−8.8

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

−200+205001000Roster talent (247Sports composite)SP+ ratingAlabama: talent 1018, SP+ +25.0 (+1.6 vs. talent)Georgia: talent 1007, SP+ +24.3 (+1.9 vs. talent)Ohio State: talent 999, SP+ +31.2 (+9.4 vs. talent)Texas: talent 954, SP+ +24.1 (+5.8 vs. talent)Clemson: talent 925, SP+ +13.3 (−2.8 vs. talent)Oregon: talent 917, SP+ +26.0 (+10.5 vs. talent)Texas A&M: talent 915, SP+ +17.0 (+1.6 vs. talent)Oklahoma: talent 907, SP+ +9.5 (−5.3 vs. talent)LSU: talent 906, SP+ +15.9 (+1.1 vs. talent)Notre Dame: talent 906, SP+ +23.9 (+9.2 vs. talent)Penn State: talent 895, SP+ +24.6 (+10.6 vs. talent)Florida: talent 894, SP+ +13.8 (−0.1 vs. talent)Florida State: talent 879, SP+ −3.2 (−16.1 vs. talent)Miami: talent 868, SP+ +21.6 (+9.5 vs. talent)USC: talent 863, SP+ +11.9 (+0.1 vs. talent)Michigan: talent 859, SP+ +10.6 (−0.9 vs. talent)Tennessee: talent 859, SP+ +22.0 (+10.5 vs. talent)Auburn: talent 834, SP+ +9.5 (−0.4 vs. talent)Missouri: talent 807, SP+ +14.0 (+5.8 vs. talent)Ole Miss: talent 802, SP+ +27.9 (+20.1 vs. talent)South Carolina: talent 798, SP+ +16.9 (+9.3 vs. talent)North Carolina: talent 795, SP+ +5.0 (−2.4 vs. talent)Nebraska: talent 790, SP+ +5.5 (−1.7 vs. talent)Kentucky: talent 788, SP+ +5.5 (−1.5 vs. talent)SMU: talent 788, SP+ +17.5 (+10.5 vs. talent)Arkansas: talent 779, SP+ +11.0 (+4.5 vs. talent)Wisconsin: talent 771, SP+ +3.0 (−3.0 vs. talent)TCU: talent 767, SP+ +10.8 (+5.1 vs. talent)UCLA: talent 759, SP+ −1.3 (−6.6 vs. talent)Arizona State: talent 757, SP+ +9.4 (+4.2 vs. talent)Colorado: talent 749, SP+ +8.1 (+3.4 vs. talent)UCF: talent 746, SP+ +2.8 (−1.8 vs. talent)Utah: talent 745, SP+ +7.7 (+3.2 vs. talent)Mississippi State: talent 744, SP+ −4.1 (−8.5 vs. talent)Washington: talent 741, SP+ +3.1 (−1.2 vs. talent)Louisville: talent 739, SP+ +13.6 (+9.4 vs. talent)Purdue: talent 739, SP+ −16.2 (−20.3 vs. talent)Texas Tech: talent 732, SP+ +4.3 (+0.5 vs. talent)Iowa: talent 724, SP+ +15.8 (+12.5 vs. talent)NC State: talent 722, SP+ +3.9 (+0.7 vs. talent)Michigan State: talent 722, SP+ −4.6 (−7.8 vs. talent)Stanford: talent 719, SP+ −8.2 (−11.3 vs. talent)Pittsburgh: talent 714, SP+ +4.9 (+2.1 vs. talent)Baylor: talent 709, SP+ +8.4 (+5.9 vs. talent)Minnesota: talent 705, SP+ +10.4 (+8.1 vs. talent)Georgia Tech: talent 703, SP+ +1.9 (−0.3 vs. talent)California: talent 702, SP+ +4.0 (+1.8 vs. talent)Syracuse: talent 699, SP+ +5.5 (+3.5 vs. talent)Kansas: talent 697, SP+ +4.9 (+3.0 vs. talent)Vanderbilt: talent 696, SP+ +4.9 (+3.1 vs. talent)Maryland: talent 696, SP+ −3.9 (−5.7 vs. talent)Virginia Tech: talent 695, SP+ +10.0 (+8.2 vs. talent)Oklahoma State: talent 688, SP+ −2.6 (−4.0 vs. talent)West Virginia: talent 685, SP+ +2.1 (+0.8 vs. talent)Northwestern: talent 676, SP+ −8.2 (−9.0 vs. talent)Arizona: talent 673, SP+ −2.8 (−3.4 vs. talent)Indiana: talent 669, SP+ +20.1 (+19.6 vs. talent)Boston College: talent 668, SP+ +1.2 (+0.8 vs. talent)Rutgers: talent 664, SP+ +6.4 (+6.2 vs. talent)Cincinnati: talent 662, SP+ −0.1 (−0.2 vs. talent)Virginia: talent 662, SP+ −5.1 (−5.2 vs. talent)Tulane: talent 654, SP+ +5.7 (+6.0 vs. talent)Illinois: talent 654, SP+ +9.6 (+9.9 vs. talent)Kansas State: talent 652, SP+ +14.1 (+14.5 vs. talent)Charlotte: talent 648, SP+ −15.3 (−14.8 vs. talent)Houston: talent 647, SP+ −8.2 (−7.6 vs. talent)UTSA: talent 644, SP+ +2.2 (+2.9 vs. talent)Iowa State: talent 642, SP+ +10.3 (+11.1 vs. talent)South Florida: talent 641, SP+ −2.3 (−1.4 vs. talent)Duke: talent 636, SP+ +5.6 (+6.7 vs. talent)Wake Forest: talent 635, SP+ −5.7 (−4.6 vs. talent)Memphis: talent 633, SP+ +9.6 (+10.8 vs. talent)Oregon State: talent 627, SP+ −6.7 (−5.2 vs. talent)East Carolina: talent 612, SP+ −1.0 (+1.2 vs. talent)Washington State: talent 611, SP+ +1.3 (+3.6 vs. talent)San Diego State: talent 609, SP+ −15.4 (−13.1 vs. talent)Boise State: talent 608, SP+ +10.1 (+12.5 vs. talent)BYU: talent 602, SP+ +15.3 (+17.9 vs. talent)North Texas: talent 595, SP+ −4.5 (−1.6 vs. talent)Florida Atlantic: talent 592, SP+ −12.7 (−9.6 vs. talent)Marshall: talent 587, SP+ +3.1 (+6.4 vs. talent)Massachusetts: talent 586, SP+ −21.9 (−18.5 vs. talent)UAB: talent 583, SP+ −11.3 (−7.9 vs. talent)App State: talent 575, SP+ −8.1 (−4.3 vs. talent)UNLV: talent 575, SP+ +9.3 (+13.1 vs. talent)Arkansas State: talent 573, SP+ −9.9 (−6.0 vs. talent)Toledo: talent 572, SP+ −2.5 (+1.4 vs. talent)Liberty: talent 570, SP+ +0.2 (+4.2 vs. talent)Fresno State: talent 568, SP+ −3.8 (+0.3 vs. talent)Southern Miss: talent 566, SP+ −25.6 (−21.4 vs. talent)Georgia State: talent 565, SP+ −17.9 (−13.7 vs. talent)Coastal Carolina: talent 558, SP+ −6.9 (−2.4 vs. talent)Tulsa: talent 557, SP+ −20.6 (−16.1 vs. talent)South Alabama: talent 555, SP+ +2.8 (+7.4 vs. talent)Louisiana: talent 553, SP+ +4.8 (+9.5 vs. talent)Western Michigan: talent 547, SP+ −10.2 (−5.3 vs. talent)Colorado State: talent 546, SP+ −5.7 (−0.8 vs. talent)Utah State: talent 544, SP+ −10.4 (−5.4 vs. talent)Texas State: talent 540, SP+ +5.4 (+10.6 vs. talent)Rice: talent 538, SP+ −11.4 (−6.2 vs. talent)UConn: talent 538, SP+ +1.5 (+6.7 vs. talent)Akron: talent 538, SP+ −17.9 (−12.7 vs. talent)Louisiana Tech: talent 534, SP+ −11.6 (−6.2 vs. talent)Temple: talent 532, SP+ −20.3 (−14.9 vs. talent)Georgia Southern: talent 528, SP+ −1.7 (+3.9 vs. talent)Nevada: talent 525, SP+ −15.2 (−9.5 vs. talent)Western Kentucky: talent 519, SP+ −2.2 (+3.7 vs. talent)Hawai'i: talent 514, SP+ −10.9 (−4.8 vs. talent)Eastern Michigan: talent 509, SP+ −13.3 (−7.0 vs. talent)Miami (OH): talent 505, SP+ +1.3 (+7.7 vs. talent)Florida International: talent 504, SP+ −12.1 (−5.7 vs. talent)Middle Tennessee: talent 503, SP+ −24.4 (−17.9 vs. talent)Troy: talent 500, SP+ −6.6 (0.0 vs. talent)Sam Houston: talent 488, SP+ −6.9 (+0.1 vs. talent)Bowling Green: talent 485, SP+ −1.8 (+5.3 vs. talent)San José State: talent 480, SP+ −5.5 (+1.7 vs. talent)Central Michigan: talent 467, SP+ −15.8 (−8.1 vs. talent)Ball State: talent 464, SP+ −19.8 (−12.0 vs. talent)James Madison: talent 459, SP+ +7.5 (+15.4 vs. talent)UTEP: talent 456, SP+ −22.7 (−14.7 vs. talent)Wyoming: talent 455, SP+ −13.6 (−5.6 vs. talent)Ohio: talent 451, SP+ +2.3 (+10.5 vs. talent)Northern Illinois: talent 437, SP+ −3.5 (+5.0 vs. talent)Kent State: talent 435, SP+ −33.0 (−24.4 vs. talent)Buffalo: talent 435, SP+ −4.0 (+4.6 vs. talent)Jacksonville State: talent 431, SP+ −1.0 (+7.7 vs. talent)Old Dominion: talent 429, SP+ −6.0 (+2.8 vs. talent)New Mexico State: talent 370, SP+ −19.0 (−8.8 vs. talent)UL Monroe: talent 329, SP+ −16.7 (−5.6 vs. talent)Kennesaw State: talent 288, SP+ −25.1 (−13.4 vs. talent)New Mexico: talent 465, SP+ −14.8, expected −7.7New Mexico
One dot per FBS team, 2024. The line is the SP+ a roster's talent predicts; the dashed gap is New Mexico'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, 2024
Made the numbers' call

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

53 of 7571%116th of 134
FBS median 76%
Win probability given up

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

1.8 ptsper game118th of 134
0.21 expected wins over 12 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.

5 of 1050%
FBS teams went 71%

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 New Mexico's own. A call that differs gives up the gap to the best option; gaps under one point are close calls, and the 6 clear-cut ones account for 0.16 of the 0.21 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 WSUQ4 4:40 4th & 2 at WSU 2, tiedKicked a field goal; the numbers favored going for it−6.3 pts
  2. at SDSUQ4 4:25 4th & 10 at SDSU 34, up 5Punted; the numbers favored a field goal−2.6 pts
  3. vs WSUQ3 5:19 4th & 1 at UNM 17, down 7Punted; the numbers favored going for it−2.5 pts
  4. at NMSUQ3 1:27 4th & 3 at NMSU 3, up 10Kicked a field goal; the numbers favored going for it−1.7 pts
  5. vs WYOQ2 7:46 4th & 1 at UNM 25, down 7Punted; the numbers favored going for it−1.4 pts
  6. vs WYOQ3 5:07 4th & 2 at UNM 40, up 3Punted; the numbers favored going for it−1.3 pts
  7. vs MTSTQ4 5:16 4th & 5 at MTST 37, up 10Punted; the numbers favored going for it (close call)−0.9 pts
  8. at SDSUQ3 6:59 4th & 8 at SDSU 38, up 1Punted; the numbers favored going for it (close call)−0.9 pts
Every call this season (75)
Wk 1 · vs MTST · L 31-354 of 7 agreed
  1. Q1 13:254th & 7 at MTST 40, tied · PuntedClose call
  2. Q1 4:494th & 11 at MTST 28, up 7 · Kicked a field goalAgreed
  3. Q2 9:294th & 6 at UNM 29, up 10 · PuntedAgreed
  4. Q3 4:124th & 4 at MTST 18, up 17 · Kicked a field goalClose call
  5. Q4 9:334th & 7 at MTST 25, up 10 · Kicked a field goalAgreed
  6. Q4 5:164th & 5 at MTST 37, up 10 · PuntedClose call
  7. Q4 1:594th & 11 at UNM 37, up 3 · PuntedAgreed
Wk 1 · at ARIZ · L 39-615 of 7 agreed
  1. Q1 12:594th & 6 at UNM 44, tied · PuntedAgreed
  2. Q2 13:164th & 9 at UNM 8, tied · PuntedAgreed
  3. Q2 9:174th & 3 at ARIZ 3, down 3 · Kicked a field goalClose call
  4. Q3 2:004th & 10 at UNM 25, down 17 · PuntedAgreed
  5. Q3 0:074th & 16 at ARIZ 48, down 17 · PuntedAgreed
  6. Q4 7:514th & 1 at UNM 49, down 24 · Went for itAgreed
  7. Q4 0:004th & 5 at UNM 42, down 22 · Went for itClose call
Wk 3 · at AUB · L 19-455 of 8 agreed
  1. Q1 11:124th & 8 at AUB 15, tied · Kicked a field goalAgreed
  2. Q2 10:014th & 4 at AUB 4, down 7 · Kicked a field goalClose call
  3. Q2 5:054th & 5 at AUB 20, down 4 · Kicked a field goalAgreed
  4. Q2 0:594th & 11 at UNM 19, down 4 · PuntedAgreed
  5. Q4 13:504th & 4 at AUB 4, down 18 · Went for itAgreed
  6. Q4 10:364th & 2 at UNM 33, down 19 · PuntedClose call
  7. Q4 8:094th & 8 at AUB 30, down 19 · Went for itClose call
  8. Q4 3:484th & 18 at UNM 17, down 26 · PuntedAgreed
Wk 4 · vs FRES · L 21-386 of 7 agreed
  1. Q1 2:204th & 3 at FRES 3, down 8 · Kicked a field goalClose call
  2. Q2 9:344th & 8 at UNM 41, down 12 · PuntedAgreed
  3. Q3 12:404th & 16 at UNM 37, down 15 · PuntedAgreed
  4. Q4 12:124th & 15 at FRES 15, down 18 · Kicked a field goalAgreed
  5. Q4 9:104th & 1 at UNM 12, down 15 · Went for itAgreed
  6. Q4 1:174th & 3 at UNM 38, down 17 · Went for itAgreed
  7. Q4 0:004th & 2 at FRES 26, down 17 · Went for itAgreed
Wk 5 · at NMSU · W 50-405 of 6 agreed
  1. Q1 13:304th & 1 at NMSU 21, tied · Went for itAgreed
  2. Q1 6:464th & 7 at UNM 49, tied · PuntedAgreed
  3. Q1 0:434th & 10 at UNM 40, tied · PuntedAgreed
  4. Q2 11:154th & 9 at UNM 14, tied · PuntedAgreed
  5. Q3 1:274th & 3 at NMSU 3, up 10 · Kicked a field goal−1.7 pts
  6. Q4 8:214th & 6 at UNM 27, up 16 · PuntedAgreed
Wk 7 · vs AF · W 52-373 of 4 agreed
  1. Q1 14:224th & 4 at UNM 31, tied · PuntedAgreed
  2. Q3 5:374th & 3 at AF 7, up 18 · Kicked a field goalClose call
  3. Q4 10:544th & 2 at AF 35, up 21 · Went for itAgreed
  4. Q4 3:434th & 4 at AF 27, up 21 · Went for itAgreed
Wk 8 · at USU · W 50-451 of 1 agreed
  1. Q1 6:194th & 7 at UNM 21, down 7 · PuntedAgreed
Wk 9 · at CSU · L 6-178 of 9 agreed
  1. Q2 14:134th & 4 at CSU 12, tied · Kicked a field goalClose call
  2. Q2 9:114th & 14 at UNM 36, down 4 · PuntedAgreed
  3. Q2 4:404th & 22 at CSU 40, down 11 · PuntedAgreed
  4. Q3 8:564th & 1 at CSU 33, down 14 · Went for itAgreed
  5. Q3 6:224th & 7 at CSU 27, down 14 · Kicked a field goalAgreed
  6. Q3 2:554th & 3 at CSU 34, down 11 · Went for itAgreed
  7. Q3 1:404th & 7 at CSU 26, down 11 · Kicked a field goalAgreed
  8. Q4 10:224th & 14 at UNM 46, down 11 · PuntedAgreed
  9. Q4 1:004th & 1 at UNM 46, down 11 · Went for itAgreed
Wk 10 · vs WYO · L 45-493 of 5 agreed
  1. Q1 1:184th & 21 at UNM 14, down 1 · PuntedAgreed
  2. Q2 7:464th & 1 at UNM 25, down 7 · Punted−1.4 pts
  3. Q3 9:294th & 9 at WYO 13, tied · Kicked a field goalAgreed
  4. Q3 5:074th & 2 at UNM 40, up 3 · Punted−1.3 pts
  5. Q4 10:394th & 6 at UNM 43, up 3 · PuntedAgreed
Wk 11 · at SDSU · W 21-163 of 7 agreed
  1. Q1 13:244th & 17 at UNM 28, tied · PuntedAgreed
  2. Q2 10:474th & 3 at SDSU 28, up 8 · Went for itAgreed
  3. Q2 10:474th & 3 at SDSU 28, up 8 · Went for itAgreed
  4. Q2 5:184th & 3 at UNM 35, up 8 · PuntedClose call
  5. Q2 1:124th & 3 at UNM 42, up 1 · PuntedClose call
  6. Q3 6:594th & 8 at SDSU 38, up 1 · PuntedClose call
  7. Q4 4:254th & 10 at SDSU 34, up 5 · Punted−2.6 pts
Wk 12 · vs WSU · W 38-354 of 7 agreed
  1. Q1 6:264th & 11 at UNM 24, tied · PuntedAgreed
  2. Q2 14:284th & 11 at UNM 46, down 7 · PuntedAgreed
  3. Q2 9:274th & 8 at UNM 28, down 14 · PuntedAgreed
  4. Q2 0:194th & 10 at WSU 45, down 14 · PuntedClose call
  5. Q3 5:194th & 1 at UNM 17, down 7 · Punted−2.5 pts
  6. Q4 8:254th & 2 at WSU 32, tied · Went for itAgreed
  7. Q4 4:404th & 2 at WSU 2, tied · Kicked a field goal−6.3 pts
Wk 14 · at HAW · L 30-386 of 7 agreed
  1. Q1 12:494th & 8 at UNM 37, tied · PuntedAgreed
  2. Q1 4:474th & 9 at HAW 25, down 7 · Kicked a field goalAgreed
  3. Q1 0:094th & 2 at HAW 48, down 7 · Went for itAgreed
  4. Q2 8:294th & 10 at HAW 19, down 8 · Kicked a field goalAgreed
  5. Q2 4:084th & 4 at UNM 26, down 12 · PuntedAgreed
  6. Q3 9:484th & 7 at HAW 43, down 19 · PuntedClose call
  7. Q4 7:104th & 1 at UNM 34, down 15 · 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.

37 of 4484%
FBS median 89%
Win probability given up

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

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

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

0 of 10%
Went for two 7 times, converted 3
Costliest tries against the numbers
  1. at HAWQ4 2:34 Touchdown, down 9 before the tryKicked; the numbers favored going for two−1.3 pts
  2. at NMSUQ3 11:53 Touchdown, up 17 before the tryWent for two; the numbers favored kicking (close call)−0.1 pts
  3. vs WYOQ2 11:22 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, 2024
5-7vs. 4.2 expected+0.8 wins

40th of 134 FBS teams at beating the model's pregame expectations

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

  1. L
  2. L
  3. L
  4. L
  5. W
  6. W
  7. W
  8. L
  9. L
  10. W
  11. W
  12. L
What moved it, 2024
−1.8 wins
before kickoff: being favored, vs. coin flips
0.0 wins
on the field, after the opening snap

Every game starts at New Mexico'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−0.55
  • Possession & field position−0.03
  • Clock−0.01
  • Timeouts−0.06
  • Other+0.01
  • Less the pregame edge, counted before kickoff+0.62
Game by game

Points of win probability, from New Mexico's side.

Closest call

UNM 31-24 BOIS (2015) - New Mexico dropped to a 4.2% win probability before pulling it out.

Season arc, 2024

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

Biggest swings of 2024

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

Stolen wins

New Mexico'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

New Mexico'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

New Mexico'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 ›
$112.41+15.2% over the past year
Series & rivalries

New Mexico'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