New Mexico
- SP+
- −14.8 (#116)
- FPI
- −10.0 (#106)
- SRS
- −12.4 (#122)
- Resume
- #109
Next game
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
Farther out is better on every spoke. Dashed ring: the FBS median.
- EPA per playExpected points added on an average snap: how much each play moved the scoring odds.
- Success rateShare of snaps that stayed on schedule: half the yards needed on 1st down, 70% on 2nd, all of them on 3rd or 4th.
- ExplosivenessAverage EPA on the successful snaps: how big the good plays were.
- Rushing EPAEPA per designed run.
- Passing EPAEPA per pass play.
- Standard downsSuccess rate on downs where either a run or a pass makes sense, like 1st and 10 or 3rd and 2.
- Passing downsSuccess rate on downs that all but force a pass, like 2nd and 8 or longer, or 3rd and 5 or longer.
- Line yardsRushing yards per carry credited to the offensive line, weighting the first few yards most.
- Stuff rateShare of runs stopped at or behind the line of scrimmage.
- HavocShare 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
Points over expected per drive, from where each drive started.
Per drive against an average FBS opponent, neutral field.
Points over expected per trip inside the opponent's 40.
Average expected points where drives started.
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
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
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.
- Devon DampierQB377 plays · +0.310 pts/play · 17th of 232 QBs2.19WAR1.51 to 2.80
- Eli SandersRB108 plays · +0.138 pts/play · 98th of 373 RBs0.28WAR0.20 to 0.35
- Ryan DavisWR41 plays · +0.166 pts/play · 107th of 452 WRs0.13WAR0.05 to 0.20
- NaQuari RogersRB44 plays · +0.128 pts/play · 239th of 373 RBs0.11WAR0.08 to 0.13
- Caleb MedfordWR17 plays · +0.252 pts/play · 178th of 452 WRs0.08WAR0.03 to 0.14
- Luke DrzewieckiPK11 plays · +0.345 pts/play · 70th of 114 kickers0.07WAR0.05 to 0.09
- Luke WysongWR41 plays · +0.048 pts/play · 284th of 452 WRs0.04WAR−0.02 to 0.10
- Javen JacobsRB11 plays · +0.074 pts/play · 332nd of 373 RBs0.02WAR−0.01 to 0.03
Every player (10)
- Trace BrucklerTE12 plays · +0.058 pts/play · 153rd of 221 TEs0.01WAR−0.01 to 0.04
- Aaron RodriguezP29 plays · −0.049 pts/play · 104th of 106 punters−0.03WAR−0.09 to 0.03
By position group, against FBS
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
In 2024, the arrivals have added 0.40 WAR at New Mexico and the departures 0.14 wherever they went.
- Eli SandersRB · 3★from Iowa State0.150.28
- Javen JacobsRB · 3★from Arizona State-0.02
- NaQuari RogersRBfrom Campbell-0.11
The other 25
- Randolph KpaiLB · 4★from Nebraska--
- Antoineo Harris Jr.EDGE · 3★from Indiana State--
- Baraka BeckettIOL · 3★from Campbell--
- Cameron WattsCB · 3★from Texas Tech--
- De'jon BentonDL · 3★from USC--
- Devin BrandtDL · 3★from Old Dominion--
- Dominic TatumS · 3★from Washington State--
- Elvin HarrisOT · 3★from Campbell--
- Isaiah JonesWR · 3★from Syracuse--
- Ish BurdineS · 3★from TCU--
- Jahvante RoyalCB · 3★from Pittsburgh--
- James BaileyIOL · 3★from Texas A&M--
- Jawaun SingletaryIOL · 3★from Grambling--
- Lajuan OwensIOL · 3★from Tulane--
- Moso TuiteleEDGE · 3★from California--
- Nigel WilliamsCB · 3★from Northwestern--
- Noah AvingerCB · 3★from San Diego State--
- Okiki OlorunfunmiEDGE · 3★from Weber State--
- Richard PearceIOL · 3★from East Carolina--
- Shawn MillerWR · 3★from Illinois--
- Sol-Jay MaiavaQB · 3★from BYU--
- Tevin ShawIOL · 3★from Houston--
- Tirek Austin-CaveLB · 3★from West Virginia--
- Wallace UnambaOT · 3★from Florida Atlantic--
- Garrison WalkerDLfrom Auburn--
- Jacory Croskey-MerrittRB · 3★to Arizona0.260.02
- Christian WashingtonRB · 3★to Coastal Carolina-0.12
The other 21
- D'Arco Perkins-McAllisterCB · 4★to Chattanooga--
- J.C. DavisOT · 4★to Illinois--
- Alec MarencoLB · 3★to Kansas State--
- Austin AckelLB · 3★to UL Monroe--
- CJ JamesIOL · 3★to UTSA--
- David RowaiyeDL · 3★to undecided--
- DC TabscottQB · 3★to North Alabama--
- Desna WashingtonWR · 3★to Florida International--
- Devon SmithOT · 3★to UL Monroe--
- DJ WingfieldIOL · 3★to Purdue--
- Duece JonesWR · 3★to Grambling--
- Jake GodfreyWR · 3★to UL Monroe--
- Jermarius LewisS · 3★to UTSA--
- Kaydin PopeWR · 3★to undecided--
- Reese SteeleIOL · 3★to UL Monroe--
- Sam TelesaIOL · 3★to UL Monroe--
- Wyatt McClourTE · 3★to UL Monroe--
- Zach MorrisCB · 3★to UTSA--
- Tate ZimmermanLB · 2★to undecided--
- Ezra SextonWRto East Tennessee State--
- 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: 465, 118th of 131 in FBSRoster talent247Sports' talent composite: the recruiting ratings of every player on the roster, transfers included.
- Recruiting: 87, 128th of 131 in FBSRecruitingAverage 247Sports class score over this season's class and the three before it.
- Returning production: 35%, 87th of 130 in FBSReturning productionShare of last season's production (expected points added) by players still on the roster.
- SP+ rating: −14.8, 113th of 131 in FBSSP+ ratingThe result: Bill Connelly's opponent-adjusted rating, points per game better than an average FBS team.
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
New Mexico's SP+ of −14.8 is 7.1 points below the −7.7 its roster talent predicts, 106th of 131 in FBS.
The same comparison on each side of the ball, positive is better for both.
Conversion by season
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
Calls that matched the option with the best modeled win probability.
Summed over every call that differed, in points of win probability.
Went for it when going beat every other option by a point or more.
Each real fourth down is valued three ways (go for it, kick, punt) from the score, clock and field position before the snap, using league-wide odds rather than 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
- vs WSUQ4 4:40 4th & 2 at WSU 2, tiedKicked a field goal; the numbers favored going for it−6.3 pts
- at SDSUQ4 4:25 4th & 10 at SDSU 34, up 5Punted; the numbers favored a field goal−2.6 pts
- vs WSUQ3 5:19 4th & 1 at UNM 17, down 7Punted; the numbers favored going for it−2.5 pts
- at NMSUQ3 1:27 4th & 3 at NMSU 3, up 10Kicked a field goal; the numbers favored going for it−1.7 pts
- vs WYOQ2 7:46 4th & 1 at UNM 25, down 7Punted; the numbers favored going for it−1.4 pts
- vs WYOQ3 5:07 4th & 2 at UNM 40, up 3Punted; the numbers favored going for it−1.3 pts
- vs MTSTQ4 5:16 4th & 5 at MTST 37, up 10Punted; the numbers favored going for it (close call)−0.9 pts
- 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)
- Q1 13:254th & 7 at MTST 40, tied · PuntedClose call
- Q1 4:494th & 11 at MTST 28, up 7 · Kicked a field goalAgreed
- Q2 9:294th & 6 at UNM 29, up 10 · PuntedAgreed
- Q3 4:124th & 4 at MTST 18, up 17 · Kicked a field goalClose call
- Q4 9:334th & 7 at MTST 25, up 10 · Kicked a field goalAgreed
- Q4 5:164th & 5 at MTST 37, up 10 · PuntedClose call
- Q4 1:594th & 11 at UNM 37, up 3 · PuntedAgreed
- Q1 12:594th & 6 at UNM 44, tied · PuntedAgreed
- Q2 13:164th & 9 at UNM 8, tied · PuntedAgreed
- Q2 9:174th & 3 at ARIZ 3, down 3 · Kicked a field goalClose call
- Q3 2:004th & 10 at UNM 25, down 17 · PuntedAgreed
- Q3 0:074th & 16 at ARIZ 48, down 17 · PuntedAgreed
- Q4 7:514th & 1 at UNM 49, down 24 · Went for itAgreed
- Q4 0:004th & 5 at UNM 42, down 22 · Went for itClose call
- Q1 11:124th & 8 at AUB 15, tied · Kicked a field goalAgreed
- Q2 10:014th & 4 at AUB 4, down 7 · Kicked a field goalClose call
- Q2 5:054th & 5 at AUB 20, down 4 · Kicked a field goalAgreed
- Q2 0:594th & 11 at UNM 19, down 4 · PuntedAgreed
- Q4 13:504th & 4 at AUB 4, down 18 · Went for itAgreed
- Q4 10:364th & 2 at UNM 33, down 19 · PuntedClose call
- Q4 8:094th & 8 at AUB 30, down 19 · Went for itClose call
- Q4 3:484th & 18 at UNM 17, down 26 · PuntedAgreed
- Q1 2:204th & 3 at FRES 3, down 8 · Kicked a field goalClose call
- Q2 9:344th & 8 at UNM 41, down 12 · PuntedAgreed
- Q3 12:404th & 16 at UNM 37, down 15 · PuntedAgreed
- Q4 12:124th & 15 at FRES 15, down 18 · Kicked a field goalAgreed
- Q4 9:104th & 1 at UNM 12, down 15 · Went for itAgreed
- Q4 1:174th & 3 at UNM 38, down 17 · Went for itAgreed
- Q4 0:004th & 2 at FRES 26, down 17 · Went for itAgreed
- Q2 14:134th & 4 at CSU 12, tied · Kicked a field goalClose call
- Q2 9:114th & 14 at UNM 36, down 4 · PuntedAgreed
- Q2 4:404th & 22 at CSU 40, down 11 · PuntedAgreed
- Q3 8:564th & 1 at CSU 33, down 14 · Went for itAgreed
- Q3 6:224th & 7 at CSU 27, down 14 · Kicked a field goalAgreed
- Q3 2:554th & 3 at CSU 34, down 11 · Went for itAgreed
- Q3 1:404th & 7 at CSU 26, down 11 · Kicked a field goalAgreed
- Q4 10:224th & 14 at UNM 46, down 11 · PuntedAgreed
- Q4 1:004th & 1 at UNM 46, down 11 · Went for itAgreed
- Q1 13:244th & 17 at UNM 28, tied · PuntedAgreed
- Q2 10:474th & 3 at SDSU 28, up 8 · Went for itAgreed
- Q2 10:474th & 3 at SDSU 28, up 8 · Went for itAgreed
- Q2 5:184th & 3 at UNM 35, up 8 · PuntedClose call
- Q2 1:124th & 3 at UNM 42, up 1 · PuntedClose call
- Q3 6:594th & 8 at SDSU 38, up 1 · PuntedClose call
- Q4 4:254th & 10 at SDSU 34, up 5 · Punted−2.6 pts
- Q1 6:264th & 11 at UNM 24, tied · PuntedAgreed
- Q2 14:284th & 11 at UNM 46, down 7 · PuntedAgreed
- Q2 9:274th & 8 at UNM 28, down 14 · PuntedAgreed
- Q2 0:194th & 10 at WSU 45, down 14 · PuntedClose call
- Q3 5:194th & 1 at UNM 17, down 7 · Punted−2.5 pts
- Q4 8:254th & 2 at WSU 32, tied · Went for itAgreed
- Q4 4:404th & 2 at WSU 2, tied · Kicked a field goal−6.3 pts
- Q1 12:494th & 8 at UNM 37, tied · PuntedAgreed
- Q1 4:474th & 9 at HAW 25, down 7 · Kicked a field goalAgreed
- Q1 0:094th & 2 at HAW 48, down 7 · Went for itAgreed
- Q2 8:294th & 10 at HAW 19, down 8 · Kicked a field goalAgreed
- Q2 4:084th & 4 at UNM 26, down 12 · PuntedAgreed
- Q3 9:484th & 7 at HAW 43, down 19 · PuntedClose call
- Q4 7:104th & 1 at UNM 34, down 15 · Went for itAgreed
After touchdowns: kick or go for two?
Tries that matched the option with the better modeled win probability.
Summed over every try that differed, in points of win probability.
Went for two when it beat kicking by a point or more.
Costliest tries against the numbers
- at HAWQ4 2:34 Touchdown, down 9 before the tryKicked; the numbers favored going for two−1.3 pts
- at NMSUQ3 11:53 Touchdown, up 17 before the tryWent for two; the numbers favored kicking (close call)−0.1 pts
- 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
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.
What moved it, 2024
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
- MTSTL 31-35 vs MTST20% → 13%Before kickoff −30 · On the field −8: Scoreboard −28, Possession & field position −2
- ARIZL 39-61 at ARIZ3% → 0%Before kickoff −47 · On the field −2: Scoreboard −6
- AUBL 19-45 at AUB2% → 0%Before kickoff −48 · On the field −2: Scoreboard −4
- FRESL 21-38 vs FRES13% → 1%Before kickoff −37 · On the field −12: Scoreboard −22, Clock −1
- NMSUW 50-40 at NMSU73% → 96%Before kickoff +23 · On the field +23: Scoreboard +37, Clock +2
- AFW 52-37 vs AF68% → 99%Before kickoff +18 · On the field +31: Scoreboard +34, Timeouts −1
- USUW 50-45 at USU45% → 35%Before kickoff −5 · On the field −10: Scoreboard −8
- CSUL 6-17 at CSU29% → 2%Before kickoff −21 · On the field −27: Scoreboard −29, Timeouts −1
- WYOL 45-49 vs WYO65% → 5%Before kickoff +15 · On the field −60: Scoreboard −53, Clock −3
- SDSUW 21-16 at SDSU36% → 96%Before kickoff −14 · On the field +60: Scoreboard +54, Clock +3
- WSUW 38-35 vs WSU19% → 74%Before kickoff −31 · On the field +55: Scoreboard +14, Timeouts −1
- HAWL 30-38 at HAW50% → 1%Before kickoff 0 · On the field −49: Scoreboard −43
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.
Series & rivalries
New Mexico's most-played opponents across the whole archive - open one for the full head-to-head history.