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Preseason · week 4 · Saturday, Aug 29, 6:00 PM ET · started

Chicago Bears logoChicago BearsatTennessee Titans logoTennessee TitansEXPERIMENTAL

Nissan Stadium

This game has kicked off. Everything below is exactly what was published before kickoff and has not been changed since — that is the point of keeping it.

5 chapters · about 27s · nothing to scroll
Simulation · BASELINE ONLY

What a league-average preseason game looks like

10,000 simulated games · model nfl-preseason-public-beta-v1

Read the range, not the score. This model has no measurable read on which of these two teams is better in preseason: the coefficient linking team strength to margin is indistinguishable from zero (t = -0.5746, 95% interval [-0.077667,0.042782]). Rather than publish a direction it cannot support, the team term is set to zero, so this forecast reflects preseason scoring and home context only. The numbers below are a real, reproducible simulation — they are just not a read on these two teams, so treat the projected scoreline as the middle of a wide range rather than a prediction.

Projected score

CHI 19 — 18 TEN

median of every simulated game

Win chance

CHI 53.7% · TEN 46.3%

ties 3.4%

Total points

37

usually between 23 and 52

Margin

-1

80% of games land -17 to 16

Shrunk toward 50% by a factor fit before testing (λ=0.25).

Range

How wide the outcomes are

the 10th to 90th percentile of each team's simulated score

TeamLow (10th)ProjectedHigh (90th)
Chicago Bears logoChicago Bears81930
Tennessee Titans logoTennessee Titans71829
Comparison

Us versus the sportsbooks

two independent reads, shown side by side

Our win chance

46.3%

TEN to win

Sportsbook win chance

52.7%

median of 9 books, margin removed

Difference

-6.5 pp

percentage points — a difference, not a recommendation

Totals

37 vs 37

our median against the market total

The sportsbook numbers are the books' own, shown for context. A difference is a difference — this model has not been shown to beat the market.

Prices captured 2026-08-29T17:50:39Z — before kickoff.

Reading key

What these numbers mean

Projected score
The middle outcome across every simulated game — not a prediction of the exact final.
Win chance
How often each side won across the simulations, after the calibration described above.
80% range
Eight in ten simulated games landed inside this band. Real games land outside it too.
pp (percentage points)
The plain difference between two percentages. A gap is a difference, not an advantage.
Experimental
This model has not been shown to be sharper than the sportsbook price. Its results are tracked openly.
Provenance

Where this came from

model
nfl-preseason-public-beta-v1 v1
simulations
10,000
input hash
f3556d9a0681d7c2
generated
2026-08-29T18:16:23Z
kickoff
2026-08-29T22:00Z
state
SETTLED

Tested on a full held-out preseason, this model picked winners no better than a coin flip. Its win percentages are therefore deliberately pulled close to 50% — the widest it will ever go is 45.3%–50.6%.

Experimental preseason model. Educational and paper-only — not betting advice, and not shown to beat the market.