Tulane vs. UL Monroe: Final Score & Recap
Final score, recap & advanced stats


TULNTeam statsULM
- Q4 7:45ULMUL MONROE Extra point GOOD.31–14
- Q4 7:45ULMUL MONROE pass complete for a touchdown.31–13
- Q3 5:28TULNTULANE Extra point GOOD.31–7
- Q3 5:28TULNTULANE pass complete for a touchdown.30–7
- Q3 8:28ULMUL MONROE Extra point GOOD.24–7
- Q3 8:28ULMUL MONROE punt return for a touchdown.24–6
- Q3 8:28ULMUL MONROE punt return for a touchdown.24–6
- Q3 11:27TULNTULANE Extra point GOOD.24–0
- Q3 13:06TULNTULANE Extra point GOOD.17–0
- Q3 13:06TULNTULANE rush for a touchdown.16–0
- Q2 2:07TULNTULANE Extra point GOOD.10–0
- Q2 2:07TULNTULANE rush for a touchdown.9–0
- Q1 7:59TULNTULANE 56 yard field goal GOOD.3–0
How the model called it
What the numbers say
- ULM lived on explosives rather than sustaining drives — a profile that vanished once those chunk plays were tackled. 13% explosive on a 34% success rate
- PassNick Montana 7/20, 65 YDS, 1 TD, 1 INT
- RushOrleans Darkwa 17 CAR, 118 YDS, 1 TD
- RecRyan Grant 2 REC, 43 YDS, 1 TD
- PassKolton Browning 12/27, 134 YDS
- RushJyruss Edwards 6 CAR, 15 YDS
- RecAjalen Holley 2 REC, 53 YDS, 1 TD
This exact spot, historically
empirical, no ratingsTULN up 24 entering the 4th quarter. Across 555 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q2 2:07TULN +25%
Rob Kelley rush up the middle for 7 yards for a TOUCHDOWN
- Q3 13:06TULN +16%
Orleans Darkwa rush up the middle for 1 yard for a TOUCHDOWN
- Q3 11:27TULN +9%
Kolton Browning rush up the middle for 2 yards to the LaMon 27, tackled by Zach Davis
- Q1 7:59TULN +9%
Cairo Santos 56 yard field goal GOOD
- Q3 5:28TULN +5%
Nick Montana pass complete to Ryan Grant for 26 yards for a TOUCHDOWN
- Q2 1:10TULN +5%
Josh Rounds rush for a loss of 4 yards to the Tulan 39, tackled by Ray Stovall
FAQ
What was the final score of Tulane vs. UL Monroe?
Tulane 31, UL Monroe 14.
Did Gridpex's model pick hit?
No — the model picked ULM, which didn't hit. We report the misses too.
| TULN | ULM | |
|---|---|---|
| 318 | Total yards | 293 |
| 65 | Passing yards | 267 |
| 253 | Rushing yards | 26 |
| 17 | First downs | 15 |
| 5-16 | 3rd down | 9-19 |
| 0-0 | 4th down | 0-1 |
| 7/20 | Comp/Att | 22/45 |
| 3.3 | Yards per pass | 5.9 |
| 4.8 | Yards per rush | 1.1 |
| 1 | Turnovers | 5 |
| 9-95 | Penalties | 7-69 |
| 36:24 | Possession | 45:16 |
Costliest call
Q3 8:28 TULN punt on 4th & 5 at ULM 42. The model preferred go for it, a gap of 0.67 points.
Drive chart
every possession, start to finish- Q4 7:45ULMUL MONROE Extra point GOOD.31–14
- Q4 7:45ULMUL MONROE pass complete for a touchdown.31–13
- Q3 5:28TULNTULANE Extra point GOOD.31–7
- Q3 5:28TULNTULANE pass complete for a touchdown.30–7
- Q3 8:28ULMUL MONROE Extra point GOOD.24–7
- Q3 8:28ULMUL MONROE punt return for a touchdown.24–6
- Q3 8:28ULMUL MONROE punt return for a touchdown.24–6
- Q3 11:27TULNTULANE Extra point GOOD.24–0
- Q3 13:06TULNTULANE Extra point GOOD.17–0
- Q3 13:06TULNTULANE rush for a touchdown.16–0
- Q2 2:07TULNTULANE Extra point GOOD.10–0
- Q2 2:07TULNTULANE rush for a touchdown.9–0
- Q1 7:59TULNTULANE 56 yard field goal GOOD.3–0
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (ULM Elo 1244, TULN Elo 1141 for reference), with home-field advantage. That projects ULM -6.5 (68% to win) — 5.0 points clear of TULN's market line of -11.5. That is a disagreement, not a betting edge — sides we favour have not covered at better than breakeven.
Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).
Model as of Sep 1 · through week 1 · drive simulation
Season form — 2013
nationally rankedThe matchup, in context
series history + adjusted profiles#30 of 93 in 2013 by biggest miss · #31 of 93 in 2013 by longest odds.
The 2013 upset archive →Key matchups
The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.
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Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →
































