Army at Tulsa: College Football Week 8, Oct 23, 2026

Model pick: Army (54%), locked Oct 23; Army won 38–35 (graded a hit).

Army Black Knights

5-2

Modelpredicted

31 – 22

Fri, Oct 23, 8:30 PM ET

H. A. Chapman Stadium · 69°

Conference game

Final

Tulsa Golden Hurricane

4-4

MarketSpread ARMY -1.5 (opened TLSA -1.5)Total 53.5Moneyline ARMY -118 · TLSA -1028 books · best ARMY -115 Hard Rock · TLSA +100 Caesars

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The pick

locked before kickoff

Win chance

54%Army Black KnightsLean✓

Built on the market's no-vig price. Model alone: Army Black Knights 70%.

Model margin

ARMY by 9.2market ARMY by 1.5

Model total

53.0 pointsmarket 53.5

Why the model calls it

The model has Army Black Knights at 54% to win, with the market at ARMY by 1.5.
ARMY has the advantage in third downs and the red zone: ARMY third-down conversion ranks #16, TLSA defends it at #95; the other way TLSA #120 into ARMY's #127.
Counterpoint: turnovers / game favours TLSA. TLSA turnovers / game ranks #18, ARMY defends it at #125; the other way ARMY #2 into TLSA's #13. The pick still lands on ARMY because it rests on the whole season's results and the market's price, not one area.
Form: ARMY has the better last five games by 11.8 points a game (TLSA -3.8, ARMY +8.0).
Home field is with TLSA, which the pick has to overcome.

ContextThe model makes it ARMY by 9.2 against a market ARMY by 1.5: 7.7 points of daylight in ARMY's favour. The model's total is 53.0 against a line of 53.5: in line with the market. The model makes no spread or over/under pick: neither has shown an edge over the market in our backtests.

Matchup context: who has the advantage

Model ARMY by 9.2 · market ARMY by 1.5

ⓘMost of these areas favor TLSA, but the model still picks ARMY. The model rates each team on its full body of results, adjusted for who it played, plus the quarterback, rest, home field and weather. Single-area matchups like these are shown for context: over past seasons, when they point the other way the winner has been close to a coin flip, so they have not been a better guide than the ratings.

Passing game

TLSA

Slight advantage

TLSA passing ranks #77, ARMY defends it at #109; the other way ARMY #96 into TLSA's #72.

Rushing game

TLSA

Slight advantage

TLSA rushing ranks #22, ARMY defends it at #131; the other way ARMY #1 into TLSA's #78.

Third down & red zone

ARMY

Slight advantage

ARMY third-down conversion ranks #16, TLSA defends it at #95; the other way TLSA #120 into ARMY's #127.

Big plays

TLSA

Slight advantage

TLSA rush explosiveness ranks #11, ARMY defends it at #132; the other way ARMY #17 into TLSA's #94.

Pass protection & rush

TLSA

Slight advantage

TLSA sack rate ranks #47, ARMY defends it at #117; the other way ARMY #36 into TLSA's #71.

Ball security

TLSA

Clear advantage

TLSA turnovers / game ranks #18, ARMY defends it at #125; the other way ARMY #2 into TLSA's #13.

Form (last 5)

ARMY

Clear advantage

TLSA −3.8 per game over the last five, ARMY +8.0.

Market

ARMY

Slight advantage

Consensus has ARMY by 1.5; the model says ARMY by 9.2.

the market, for comparison

Where the lines sit

3,330 FBS games since 2023

Marginmarket ARMY by 1.5 · model ARMY by 9.2

Mkt ARMY 1.5

Model ARMY 9.2

← ARMY by 28tieTLSA by 28 →

14.4% of FBS games land between the two numbers. The model’s number is across the key numbers 3 and 7. Most common margins: 3 (9.7%), 7 (7.6%), 10 (4.3%), 14 (4.1%).

Totalmarket 53.5 · model 53.0

Mkt 53.5

Model 53.0

24 pts6096 pts

1.3% of FBS games finish between 53.5 and 53.0. The league’s median total since 2023 is 52.

Sharp read

tap to open

Where the market maker moved the line since open, and whether other books followed. Tracked, not a pick.

Spread

Sharp side: ARMYModel agrees

Opened

TLSA -1.5

Market maker now

ARMY -1

▼ 2.3 since open

Retail now

ARMY -1.5

0.5 behind

38 moves8 books8 ledSteam Fri, Oct 23, 5:10 PM

Mon, Oct 19, 10:10 PM first sharp move: TLSA -1.5 → TLSA -2
No books followed within six hours
Retail was still TLSA -1.25 at that point

Total

Sharp side: the underModel agrees

Opened

52.5

Market maker now

▼ 0.8 since open

Retail now

53.5

0.5 behind

41 moves8 books2 led

Tue, Oct 20, 1:48 AM first sharp move: 54 → 53
No books followed within six hours
Retail was still 53.5 at that point

The model alone was backtested walk-forward (each game priced only from what came before it). Since the winner call started following the market, the calibration that counts is the record of locked picks on the results page. Margin and total are context, not picks. Model reads, not personalized advice. For information only, not betting advice. 21+ only. Gambling problem? Call or text 1-800-GAMBLER.

Army at Tulsa: College Football Week 8, Oct 23, 2026

The pickiThe locked winner and its win probability. A priced game's number is built on the market's no-vig price; the model's own margin and total sit beside the market's below, as context.

Why the model calls itiThe reasons behind the winner call, in plain sentences drawn from this page's numbers.

Matchup context: who has the advantageiWhich team has the advantage in each area, and how clearly. Context for reading the game, not model inputs.

Where the lines sitiWhere the market's number and the model's sit among every final margin and total in the league's history; the highlighted bars are the games that landed between the two.

Sharp read

Army at Tulsa: College Football Week 8, Oct 23, 2026

The pickiThe locked winner and its win probability. A priced game's number is built on the market's no-vig price; the model's own margin and total sit beside the market's below, as context.

Why the model calls itiThe reasons behind the winner call, in plain sentences drawn from this page's numbers.

Matchup context: who has the advantageiWhich team has the advantage in each area, and how clearly. Context for reading the game, not model inputs.

Where the lines sitiWhere the market's number and the model's sit among every final margin and total in the league's history; the highlighted bars are the games that landed between the two.

Sharp read

The pick

Why the model calls it

Matchup context: who has the advantage

Where the lines sit

The pick

Why the model calls it

Matchup context: who has the advantage

Where the lines sit