Oklahoma State vs Tulsa Prediction, Picks & Odds — Sep 5, 2026

Take FBS Week 1 games from 2013 through 2025 in which the road team closed favored by 10.7 to 17.7 points — the band Oklahoma State's -14.2 at Tulsa sits in — and you get 45 games. Favorites covered 15 of them, 33.3 percent, and lost outright 14 times, 31.1 percent. The average favorite margin was 7.7 points, roughly half of what was laid, and 40 percent finished inside one score.

That is not an artifact of a narrow band or of Week 1 alone. The same road-favorite band across all weeks (n=953) covered 52.2 percent and won by 14.8. Home favorites in that band in Week 1 (n=149) covered 56.4 percent and won by 17.0. Widen the Week 1 road cut to favorites of 10 to 20 points (n=69) and the shape holds: 34.8 percent covers, 27.5 percent outright dogs, a 9.4-point margin. It is the road-in-Week-1 combination doing the work.

The price itself: 14.2, from two books, Bovada and DraftKings, at 14.0 and 14.5, with a total of 61.2. That spread implies Tulsa wins about 18.3 percent of the time. Our projection has Tulsa winning 54.3 percent and by 1.7 points on average across 40,000 simulations. That is a 15.9-point disagreement with the number.

The projection decomposes cleanly — the residual is zero — and it agrees with the market about who has the better roster. Roster talent is the largest single term, favoring Oklahoma State by 10.19 points (702.7, 49th nationally, against Tulsa's 594.8, 85th). Three terms outvote it: returning production, worth 9.16 points to Tulsa; last season's regressed power rating, 5.68; and home field, 4.50. Portal (2.92), quarterback (4.31) and skill transfers (0.22) come back Oklahoma State's way; in-season form contributes nothing. Zero out home field entirely and our projection still lands at Oklahoma State -2.8.

◄Oklahoma StatefavorsTulsa►

Roster talentoverall talent level of the roster — recruiting pedigree plus an independent preseason roster gradeOklahoma State +10

Returning productionhow much of last year's production is back this seasonTulsa +8

Last season's body of worklast year's power rating, regressed toward the averageTulsa +5

Quarterbackthe projected starter's quality and how settled the job isOklahoma State +4

Transfer portalnet proven talent gained vs lost in transfers — it raises or lowers a roster's projected strengthOklahoma State +3

Each ingredient of our projection and the side it favors — bars toward Tulsa are why it's the pick (home field is counted separately).

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So the disagreement is mostly one term. Oklahoma State's returning-production figure is 0.0 percent against Tulsa's 41.3; pass-offense and rush-offense continuity both read 0.000. Behind that zero: quarterback Zane Flores, 38 percent of the pass production, to Iowa State; Hauss Hejny, 15 percent, to Colorado State; running back Rodney Fields Jr., 34 percent of the rush production, to Kansas State. All five projected line starters are transfers with no holdovers. Tulsa's line is the mirror image: four holdovers, one transfer, at center.

What that zero measures, though, is the removal of one of the worst offenses in the sport. Oklahoma State scored 13.0 points per game against FBS opponents in 2025, 133rd of 136, on an offensive PPA of -0.016, 134th; on opponent-adjusted unit ranks it was 128th passing, 133rd rushing and 131st against the pass. The team went 1-11 and gave up 33.3 points a game. A model that charges 9.27 points for losing that production is booking a demolition as a loss.

It was replaced on purpose, mostly from one place. Of 55 portal additions, 17 came from North Texas with head coach Eric Morris; eight are projected starters, including quarterback Drew Mestemaker, running back Caleb Hawkins, receiver Wyatt Young, right guard Johnny Dickson III and safeties Evan Jackson and Quinton Hammonds. The offense they left ranked second of 136 in raw offensive PPA (0.369), second in success rate (0.523) and first in scoring at 44.6 points per game.

Mestemaker's own line reads as settled: career EPA of 0.23 on 0.914 usage, a GIQ rating of 85, and a 2025 season that led FBS in passing yards (4,379) and touchdowns (34). Against the 9.27-point charge for the production that left, our projection credits Oklahoma State 2.06 for the portal, 3.27 at quarterback and 0.27 for skill transfers — 5.60 for what it bought. That asymmetry is the likeliest place this projection is wrong, and it is the largest single piece of the 15.9.

It is not a free read in the other direction. Only one of the five line spots is a North Texas man, so the blocking behind that 0.523 success rate did not travel, and those ranks are raw rather than opponent-adjusted. None of it touches defense, where North Texas ranked 68th in PPA and Oklahoma State 128th, with pass-defense continuity of 0.13. Fifty-five arrivals against 65 departures is real installation risk in Week 1.

Tulsa is not the clean side of this. Its best unit rank in the game — rush defense, 42nd — returns 29 percent of its production, and its running game returns 10.9 percent after Dominic Richardson (51 percent of last year's rush production), Ajay Allen (22) and Braylin Presley (8) left. The four incoming backs grade 0.014, 0.010, 0.003 and 0.002 above their position's baseline, which is to say replacement level. Four of the five highest-impact defenders are gone, including Ray Coney (128 tackles, to Texas A&M) and J'Dan Burnett (6.5 sacks, to Rutgers). The counterweight is genuine: returning corner Elijah Green, with five interceptions and seven breakups, carries a higher impact score (26.2) than any departed Tulsa defender.

Tulsa's quarterback line carries a caveat our projection does not price. Baylor Hayes is the projected starter — returning, career EPA 0.087, 0.033 below baseline, GIQ 74 — but the projection could not be verified with live reporting and rests on a static depth chart, and Kennesaw State transfer Dexter Williams II (three FBS seasons, best EPA 0.519, GIQ 77) is the obvious threat to the job. Kirk Francis, who accounted for 27 percent of Tulsa's passing production last season, is at Texas Tech.

Line up the estimates of the same event and they do not agree with each other. All FBS favorites of 10.7 to 17.7 points since 2013 (n=2,050) lost outright 15.8 percent of the time and covered 51.3, winning by 14.9. Narrow that band to totals between 44 and 54 (n=850) and the underdog wins 16.8 percent. The Week 1 road cut (n=45) says 31.1. Our simulation says Oklahoma State wins only 45.7 percent of the time — a number nothing in the historical file supports. This is a model-versus-history disagreement before it is a model-versus-market one.

One caution on that 850-game set: it is matched on the spread but filtered to totals of 44 to 54, and this game is priced at 61.2. Its 49.2 percent under rate is measured against each of those games' own closing totals, not this one. The cohort describes our version of this matchup, not the priced version.

Two angles that look like edges are not. Tulsa won at Oklahoma State 19-12 last season, but double-digit favorites that lost to the same opponent the prior year (n=517) still win 87.0 percent and cover 51.1 — 54.2 percent within this exact spread band (n=301). Nor is fading a favorite off a disaster season an edge: teams laying 10-plus after a two-win-or-worse season (n=229) covered 52.4 percent against 49.9 for all 10-plus favorites (n=5,567). The only wrinkle leaning Tulsa is that group's road split, 46.9 percent covers, on 32 games.

The total is the second disagreement, and it rests on thinner ground. The market is at 61.2; we project 49.2 with a median of 48 and an 80 percent range of 30 to 69, so the market number sits inside the distribution but high inside it. Every advanced profile field is null for both teams, and both carry identical pace (11.7) and turnover rate (0.105), so almost nothing separates them on the scoring side except last year's drive numbers: Tulsa scored 1.79 points per drive and allowed 2.42, Oklahoma State 1.875 and 2.302, against a league average of 2.314.

This is a cold start against a live price. Our projection carries zero games of current information — form weight 0.0, prior weight 1.0 — and is grading a 2025 Oklahoma State team that no longer exists on the field or the sideline. Its 14.3 percent chance of the favorite covering inherits that error whole. The defensible reading is narrower than either headline number: the market has better information here than the projection does, and the one historical cut with a plausible mechanism says the price is high, on 45 games. The margin lands exactly on 3 about 6 percent of the time and on 7 about 7 percent.