DOGMATH uses long-term defensive signal data to grade each game environment by week and position, so a player can look stronger or weaker depending on when his best spots hit.
Core idea
The best pick changes with the roster.
Best-ball drafting is not just collecting good players. Your next pick depends on what you already have: position balance, weekly coverage, ceiling, playoff correlation, and how much room is left in the draft. DOGMATH starts with weekly NFL game environments, then scores available players through that roster context.
Each player is assigned a projection based on where he is selected, so the recommendation stays tied to the actual draft board instead of a static list.
DOGMATH applies position and scoring-format variance so the model understands that every position has a different real-world boom and bust profile.
You can lean into floor, ceiling, playoff correlation, team fit, or rank score instead of accepting one fixed setting.
Chart read
The scatter charts show who complements your build.
DOGMATH is built for the uncomfortable pick decision. If your roster already has an Arizona running back, the model can look across every other team schedule and ask which RB helps when Arizona has a tough week, a bye, or a playoff spike. Floor shows up on the x-axis, ceiling shows up on the y-axis, and the best answer is the player who adds the most to your specific roster.
Who helps cover weak weeks, byes, and fragile spots in your build?
Who can spike with your roster when the schedule and position profile line up?
Which players help the build peak when best-ball tournaments are decided?
Prefer safety, upside, rank value, or correlation. DOGMATH adjusts to the way you want to draft.
Scoring lanes
DOGMATH breaks a pick into usable signals.
The output is meant to be draftable, not academic. You should be able to tell why a player is showing up: raw points added, roster need, weak-week coverage, playoff correlation, 7-day ADP movement, stack/team context, or rank value.
+169
Points added
How much the player improves the projected shape of this roster compared with nearby alternatives.
A quick rank-weight signal for players the model wants you to notice first.
17 DAL
16 DET
15 CLE
Playoff correlation
The Week 15-17 colors show how the player lines up with your roster's playoff schedule.
▲ 0.840.4 ADP
▼ 1.342.5 ADP
Shows whether the draft market is getting more aggressive or backing off a player over the last week.
STACK
TEAM
Stack / team pills
STACK means you have that team's QB. TEAM means you already have another player from that team.
Manual vs automated
The Solver and Premium Overlay use the same DOGMATH scoring.
Step
Solver
Premium Overlay
Roster input
You enter and update the roster manually.
The extension reads the draft room automatically.
Recommendation
You inspect charts, scores, and player tables.
Pills appear beside players in the live board.
Weights
You tune the DOGMATH model in the Solver.
The same preferences drive live overlay advice.
Best use
Learning the model, slower drafts, manual comparison.
Timed drafts where speed and board awareness matter.
Price
Free account required.
$50/mo subscription.
What DOGMATH is not
It is a decision aid, not a promise.
DOGMATH does not guarantee contest results, player performance, or winnings. It is built to organize the pick decision around your roster so you can draft faster, compare cleaner, and understand the tradeoffs before clicking the player.
Rankings matter, but DOGMATH adds roster context so the same player can score differently for different builds.
You still decide. DOGMATH gives the evidence and lets you adjust the weights.
The Solver and Premium Overlay are two workflows on the same roster-fit logic.
The Solver stays free. Premium Overlay is the premium automation layer.