Baseline

Model Tracker

The models, and how they’re doing

Each model is a situation we measured. The big number is how often the thing happened in that situation, next to how often it happens otherwise. “This season” shows whether the same pattern is showing up in the games already played this year.

97models: every situation that held up as an edge
24models apply to games on this week’s slates (see them)
28pointing the same way this season (0 already clear; 64 too early to judge)
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How to read it. 40% QB 200+ passing yards, vs 62% typically: in 15+ mph wind, QBs reached 200 yards 40% of the time, against 62% in calmer outdoor games. “73 of 181” is the real count.

This season is the same measure in this season’s games so far (NFL through 2026-11-09; NBA through 2026-11-11; NHL through 2026-11-11): holding up = already clear this season · same direction, not clear yet = leaning the same way · too few games to judge = sample still small.

Click a model to see every game behind it, marked Hit or Miss. This week’s situations come first, then the biggest gaps. A lower number is a lower rate, not a betting instruction; percentage points are the gap between two rates (40% vs 62% is −22). Myths and spots explained by quality aren’t models; they stay on Findings.

NFL · 37 models in 14 situations

NFL · 4 models

Off a bye (13+ days)

Compared with: Team-games with fewer than 13 days of rest

This week · 2 games TEN, PIT →

NFL · 5 models

After a blowout win (letdown spot)

Compared with: Other team-games with a scored previous game

This week · 8 games KC, BUF, HOU, GB, JAX, SF, PIT, CIN →

NFL · 9 models

Wind 15+ mph

Compared with: Outdoor games under 15 mph

NFL · 3 models

Rain

Compared with: Other outdoor games with known rain status

NFL · 4 models

First game back after missing games (any reason)

Compared with: Same players coming off a played previous team game (0 missed)

NFL · 2 models

Rain or snow (wet field)

Compared with: Dry outdoor games

NFL · 3 models

Dome / closed roof

Compared with: Outdoor games (exposure = outdoor)

NBA · 30 models in 14 situations

NBA · 2 models

3rd game in 4 nights

Compared with: Other team-games

This week · 5 games NY, MIL, ORL, UTAH, POR, OKC →

NBA · 2 models

Rest 2+ days

Compared with: Team-games with 0-1 days rest

This week · 4 games ATL, MIA, SAC, LAC →

NBA · 2 models

Rested team vs opponent on a back-to-back

Compared with: Other team-games with a previous game

NBA · 3 models

Season opener

Compared with: Other regular-season team-games

NBA · 2 models

Back-to-back (0 rest)

Compared with: Team-games with 1+ day of rest

NBA · 2 models

Game after overtime

Compared with: Other team-games

NBA · 2 models

After a blowout win (letdown spot)

Compared with: Other team-games with a scored previous game

NBA · 1 model

Facing a former team

Compared with: Same players (anyone with a former team at that date) vs all other opponents

NBA · 8 models

Bounce-back after missing the line

Compared with: Same players after a game that hit the line

NBA · 2 models

Bounce-back after a bottom-25% game

Compared with: Same players after a game above their 25th percentile

NHL · 30 models in 7 situations

NHL · 6 models

3rd game in 4 nights

Compared with: Other team-games

This week · 1 game NSH →

NHL · 2 models

Rest 2+ days

Compared with: Team-games with 0-1 days rest

This week · 1 game VAN →

NHL · 9 models

Rested team vs opponent on a back-to-back

Compared with: Other team-games with a previous game

NHL · 8 models

Back-to-back (0 rest)

Compared with: Team-games with 1+ day of rest

NHL · 2 models

Facing elimination

Compared with: Other playoff team-games

NHL · 2 models

Elimination game

Compared with: Other playoff games

Historical rates, not picks. Every figure is a past rate with its sample size; a past rate doesn’t predict any single game. How models are chosen →