LIVEDATASET2026.w1.11SEASON2026 · WK 1BUILT2026-08-25 12:35Z
THREE TIERS · THREE PASSES

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  • Modelled P(active) for every player on the live board, with confidence bands and source-conflict flags. The raw designations are free elsewhere; the calibrated probability, with its out-of-sample record published, is not.
  • The rating and points impact of every dated, sourced injury situation.
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The matrix

Exactly what each tier opens

Generated from the same grant object the API enforces, so this page cannot advertise a paywall the engine does not apply. Pick a tier to see the page as that tier sees it.

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Ciphered rows are withheld at this tier - hover one
Tier 0 · ScoutFree
  • Positional Stat Lines
  • Injury & Availability Intel
  • Market Divergence Board
  • Licensed Data Access
  • Touchdown Equity
  • Draft Value Engine
  • Draft Availability Simulator
  • Game ForecastHow should this game go, and how wide is the range around that?
  • Verification LedgerIs this edge real, or is the model just reading a stale input?
  • Leg Correlation Matrix
  • Outcome Board
  • NHL Game Forecast
  • The Weekly Board
Tier 1 · ActiveCA$29/mo
  • Positional Stat LinesWhat volume and production should I expect from this player?
  • Injury & Availability IntelWill this player be on the field, and what is the injury worth in points?
  • Market Divergence BoardWhere does my model disagree with the market, how much of that gap is my own error, and does the shipped projection already know what it is facing this week?
  • Licensed Data AccessCU2 U 04Y%E $G NWGWY 2E% NYG E $8CGG2S%8 E%%% E NS62WS
  • Touchdown EquityWho actually scores, and how much of a player's value is touchdown luck?
  • Draft Value EngineWhat is this player worth relative to the replacement I could have instead?
  • Draft Availability SimulatorCan I wait, or does this tier break before my next pick?
  • Game ForecastHow should this game go, and how wide is the range around that?
  • Verification LedgerIs this edge real, or is the model just reading a stale input?
  • Leg Correlation MatrixIf I take both of these legs, how far from independent are they - and if I stack these two players in a lineup, how correlated are their actual fantasy points?
  • Outcome BoardIf I add these specific players' projected points together, what range should I actually expect for the total - and how much does that range change once the measured correlation between them replaces the independence assumption every per-player floor/ceiling on this site (and everywhere else) implicitly makes when you combine two of them by hand?
  • NHL Game ForecastHow should this game go, and where does our rating disagree with the market?
  • The Weekly BoardIf the models had to commit for the weekend, what would they say - and what is their record for saying it?
Tier 2 · FeedCA$99/mo
  • Positional Stat LinesWhat volume and production should I expect from this player?
  • Injury & Availability IntelWill this player be on the field, and what is the injury worth in points?
  • Market Divergence BoardWhere does my model disagree with the market, how much of that gap is my own error, and does the shipped projection already know what it is facing this week?
  • Licensed Data AccessCan I build on this, and can I republish what I build?
  • Touchdown EquityWho actually scores, and how much of a player's value is touchdown luck?
  • Draft Value EngineWhat is this player worth relative to the replacement I could have instead?
  • Draft Availability SimulatorCan I wait, or does this tier break before my next pick?
  • Game ForecastHow should this game go, and how wide is the range around that?
  • Verification LedgerIs this edge real, or is the model just reading a stale input?
  • Leg Correlation MatrixIf I take both of these legs, how far from independent are they - and if I stack these two players in a lineup, how correlated are their actual fantasy points?
  • Outcome BoardIf I add these specific players' projected points together, what range should I actually expect for the total - and how much does that range change once the measured correlation between them replaces the independence assumption every per-player floor/ceiling on this site (and everywhere else) implicitly makes when you combine two of them by hand?
  • NHL Game ForecastHow should this game go, and where does our rating disagree with the market?
  • The Weekly BoardIf the models had to commit for the weekend, what would they say - and what is their record for saying it?
full access every row, some columns hidden not included

Deliberately not withheld at any tier: floor and ceiling, because the product publishes a rule that no forecast ships without its uncertainty and a pricing page that broke that rule would be the exact failure the Verification Ledger exists to catch. Nor the ADP delta, which is board rank minus market rank - both already visible, so gating it would be theatre.

What you are buying

Twelve packages, one player search away

What each package answers. Expand a package for the exact fields inside it.

01

Positional Stat Lines

Full-season and weekly NFL player projections - points, floor, ceiling, and every underlying stat from carries to targets to receiving yards, broken out by position. Built from each stat's own year-over-year stability rather than one blanket regression rate, so volume and efficiency are never smoothed into the same number. Every weekly projection ships with a real range around it, not just a single guess.

What's included (40 fields)+
Fields included in Positional Stat Lines, each with what it means
Projected pointsFull-season fantasy points, half-PPR baseline
PPGProjected points per game played
FloorLow-end season outcome after games-played risk
CeilingHigh-end season outcome
AttemptsProjected pass attempts for the week
Pass yardsProjected passing yards
CarriesProjected rush attempts
Rush yardsProjected rushing yards
TargetsProjected targets
ReceptionsProjected catches
Receiving yardsProjected receiving yards
Weekly floor10th percentile of the modelled weekly half-PPR outcome
Weekly median50th percentile of the modelled weekly outcome
Weekly ceiling90th percentile of the modelled weekly outcome
Weekly SDStandard deviation of the modelled weekly outcome
TD shareShare of the projection that is touchdown expectation rather than yardage - a high value means the ceiling is real and the floor is not
VolumeThe opportunity half of a yardage projection - attempts, carries or targets, depending on the stat
Yards per touchThe efficiency half - the projected yards divided by the projected volume, so the two halves always multiply back to the published mean
Gate verdictWhether this stat's fitted weekly distribution passed its pre-registered walk-forward gates - where it failed, the quantile columns are null on purpose
Pass TDProjected passing touchdowns
Rush TDProjected rushing touchdowns
Rec TDProjected receiving touchdowns
Total TDProjected total touchdowns across rushing, receiving and passing
TD dependencyShare of a player's projected points that comes from touchdowns
Volume hand-correctedTrue when this week's volume projection was manually adjusted for a role change nflverse trailing data would not yet reflect
Yardage meanModelled mean yards for this stat, from the volume x efficiency decomposition - restates the same paywalled number the raw stat above hides
Yardage p55th percentile of the modelled weekly yardage distribution for this stat - null until this stat pair passes its walk-forward gates (see limits)
Yardage p2525th percentile of the modelled weekly yardage distribution for this stat - null until this stat pair passes its walk-forward gates
Yardage p5050th percentile (median) of the modelled weekly yardage distribution for this stat - null until this stat pair passes its walk-forward gates
Yardage p7575th percentile of the modelled weekly yardage distribution for this stat - null until this stat pair passes its walk-forward gates
Yardage p9595th percentile of the modelled weekly yardage distribution for this stat - null until this stat pair passes its walk-forward gates
Anytime TD %P(at least one TD) = 1 - e^-lambda - Touchdown Equity's own field, riding along on the shared player_props row
Anytime TD % (reported)The published, rounded anytime-TD probability shown alongside the raw computed value - Touchdown Equity's own field
Auction $Dollar value on a $200 budget - Draft Value Engine's own field, riding along on the shared season_projections row
Expected rec. TDReceiving share of the player's expected-touchdown rate (lambda_td) - Touchdown Equity's own field
Expected rush TDRushing share of the player's expected-touchdown rate (lambda_td) - Touchdown Equity's own field
FlagDraft Value Engine's value / reach tag, riding along on the shared season_projections row
Expected TDsPoisson rate: expected touchdowns this game - Touchdown Equity's own field, riding along on the shared player_props row
2+ TD %P(two or more TD) = 1 - e^-lambda(1+lambda) - Touchdown Equity's own field, riding along on the shared player_props row
VBDPoints above the positional replacement baseline - Draft Value Engine's own field, riding along on the shared season_projections row
02

Injury & Availability Intel

A calibrated probability that your player actually takes the field this week - not just a raw practice-report designation copied from a beat reporter. Every number carries a published, out-of-sample accuracy record, and rows flag a source conflict rather than silently picking a side when two feeds disagree.

What's included (25 fields)+
Fields included in Injury & Availability Intel, each with what it means
P(active)Modelled probability the player takes a snap this week
Confidencehigh / medium / low / low_out_of_domain, from corroboration and data coverage
Source conflictTrue when two independent feeds disagree on the designation - published, not resolved
SourcesWhich feeds contributed this row
SituationThe dated, sourced fact - never a rumour
Rating impactRating points debited from the team
Points impactThe same adjustment expressed in game points
SourcePublication and date the fact came from
Availability factorMultiplier applied to the player's stat line and TD rate
AttemptsProjected pass attempts for the week - Positional Stat Lines' own field, riding along on the shared player_props row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared player_props row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared player_props row
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared player_props row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared player_props row
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared player_props row
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared player_props row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared player_props row
Volume hand-correctedTrue when this week's volume projection was manually adjusted for a role change nflverse trailing data would not yet reflect - Positional Stat Lines' own field
TD shareShare of the projection that is touchdown expectation rather than yardage - Positional Stat Lines' own field, riding along on the shared player_props row
Anytime TD %P(at least one TD) = 1 - e^-lambda - Touchdown Equity's own field, riding along on the shared player_props row
Anytime TD % (reported)The published, rounded anytime-TD probability - Touchdown Equity's own field
2+ TD %P(two or more TD) = 1 - e^-lambda(1+lambda) - Touchdown Equity's own field, riding along on the shared player_props row
Expected TDsPoisson rate: expected touchdowns this game - Touchdown Equity's own field, riding along on the shared player_props row
Expected rush TDRushing share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
Expected rec. TDReceiving share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
03

Market Divergence Board

See exactly where our model and the betting market disagree on a game, ranked by the size of the gap, with a plain-language read on which side is more likely right. Includes a matchup-strength layer, so you know whether a player's projection already accounts for a tough or soft defense. No picks, no EV, no stake sizing - the numbers, side by side, nothing else.

What's included (30 fields)+
Fields included in Market Divergence Board, each with what it means
DivergenceElo-only minus market, in percentage points - the ranking key
Model impliedUnblended rating-based probability
Market impliedVig-free market probability from the two-way moneyline
BlendedThe 75/25 blend actually used downstream
Market spreadPublished spread, used as input and calibration check
ADP divergenceSeason-long equivalent: board rank vs market rank
Matchup indexHow much MORE (>1) or LESS (<1) the opponent has allowed to this position than league average, trailing and shrunk to its own sample size
Matchup rank1 = toughest defense against this position, 32 = easiest, among teams with enough trailing games to rank
Environment gapMatchup-implied points minus the FROZEN shipped projection - never a rewrite of the projection, a second read beside it
Distortion flagTrue only when the gap is large, the trailing sample is thick enough, AND the position's matchup effect beat a naive baseline out of sample - see limits
Matchup validatedWhether this position's matchup index actually predicted future points allowed better than assuming league average, on held-out data
DvP league averageLeague-average value allowed to this position - the baseline dvp_index is measured against
DvP sample sizeTrailing games behind this position's DvP index - larger samples get less shrinkage toward league average
DvP confidenceConfidence in this position's matchup index, from trailing sample size and consistency
Matchup-implied pointsPoints implied by the matchup-only read, independent of the frozen shipped projection
Distortion directionWhich side the flagged distortion leans - under or over the frozen shipped projection
Auction $Dollar value on a $200 budget - Draft Value Engine's own field, riding along on the shared season_projections row
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared season_projections row
FlagValue / reach tag where board and market diverge materially - Draft Value Engine's own field, riding along on the shared season_projections row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared season_projections row
Rec TDProjected receiving touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared season_projections row
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared season_projections row
Rush TDProjected rushing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared season_projections row
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared season_projections row
TD dependencyShare of a player's projected points that comes from touchdowns - Touchdown Equity's own field, riding along on the shared season_projections row
Total TDProjected total touchdowns across rushing, receiving and passing - Positional Stat Lines' own field, riding along on the shared season_projections row
VBDPoints above the positional replacement baseline - Draft Value Engine's own field, riding along on the shared season_projections row
04

Licensed Data Access

Every dataset behind ApexDatum, versioned and hash-verified: pin a release, rebuild it yourself, and get back byte-identical files. Built for anyone who wants the numbers inside their own spreadsheet, model, or product instead of on our web pages.

What's included (6 fields)+
Fields included in Licensed Data Access, each with what it means
Dataset versionImmutable version string pinned per release
Source hashSHA-256 of every upstream file that produced the release
Generated atUTC build timestamp
Row countsPer-dataset row counts for integrity checking
Precision notesWhich fields carry full precision and which inherit a rounded export
Provenance ledgerPer-signal verification status, delivered as machine-readable metadata alongside the data
05

Touchdown Equity

Anytime-touchdown and multi-touchdown probability for every player, built from each team's own scoring budget so the numbers never overstate the stars at the expense of the rest of the depth chart. The share of the budget we can't attribute to a named player is published, not quietly folded into the leaders.

What's included (42 fields)+
Fields included in Touchdown Equity, each with what it means
Anytime TD %P(at least one TD) = 1 - e^-lambda
2+ TD %P(two or more TD) = 1 - e^-lambda(1+lambda)
Next-4 positional SOSMean opponent DvP index at the player's position over the coming four weeks, joined from the positional_sos dataset; above 1.00 = softer than average. Held ex-ante at the build week
Expected TDsPoisson rate: expected touchdowns this game
Team expected TDsTeam offensive TDs from the fitted points-to-TD relationship
Modelled shareFraction of the team TD budget attributable to named players
Unmodelled TDsTD budget the model cannot attribute - reported, never redistributed
TD dependencyShare of a player's projected points that comes from touchdowns
TD over expectedPrior-season touchdowns above/below what field position predicted
Matchup indexHow much MORE (>1) or LESS (<1) the opponent has allowed to this position than league average, trailing and shrunk to its own sample size
Matchup rank1 = toughest defense against this position, 32 = easiest, among teams with enough trailing games to rank
DvP sample sizeTrailing games behind this position's DvP index - larger samples get less shrinkage toward league average
Season positional SOSMean opponent DvP index at this position across the full season; above 1.00 = softer than league average
Playoff positional SOSMean opponent DvP index at this position across the fantasy playoff weeks 15-17
Anytime TD % (reported)The published, rounded anytime-TD probability shown alongside the raw computed value
Expected rush TDRushing share of the player's expected-touchdown rate (lambda_td)
Expected rec. TDReceiving share of the player's expected-touchdown rate (lambda_td)
Opponent DvP (QB)This game's opponent defense-vs-position index against QBs - above 1.00 means the opponent allows more than league average
Opponent DvP rank (QB)Opponent's DvP rank against QBs this game, 1 = toughest, 32 = easiest
Opponent DvP rank (avg)Average of the four positional DvP ranks against this game's opponent
Opponent DvP (RB)This game's opponent defense-vs-position index against RBs
Opponent DvP rank (RB)Opponent's DvP rank against RBs this game, 1 = toughest, 32 = easiest
Opponent DvP (TE)This game's opponent defense-vs-position index against TEs
Opponent DvP rank (TE)Opponent's DvP rank against TEs this game, 1 = toughest, 32 = easiest
Opponent DvP (WR)This game's opponent defense-vs-position index against WRs
Opponent DvP rank (WR)Opponent's DvP rank against WRs this game, 1 = toughest, 32 = easiest
Auction $Dollar value on a $200 budget - Draft Value Engine's own field, riding along on the shared season_projections row
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
FlagValue / reach tag where board and market diverge materially - Draft Value Engine's own field, riding along on the shared season_projections row
AttemptsProjected pass attempts for the week - Positional Stat Lines' own field, riding along on the shared player_props row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
Rec TDProjected receiving touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
Rush TDProjected rushing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared player_props/season_projections rows
TD shareShare of the projection that is touchdown expectation rather than yardage - Positional Stat Lines' own field, riding along on the shared player_props row
Total TDProjected total touchdowns across rushing, receiving and passing - Positional Stat Lines' own field, riding along on the shared season_projections row
VBDPoints above the positional replacement baseline - Draft Value Engine's own field, riding along on the shared season_projections row
Volume hand-correctedTrue when this week's volume projection was manually adjusted for a role change nflverse trailing data would not yet reflect - Positional Stat Lines' own field, riding along on the shared player_props row
06

Draft Value Engine

Draft rankings built from what drafters actually do, not what one analyst thinks they should do: real consensus ADP across nine platforms, a value-above-replacement score, and auction dollars included at every paid tier so you know exactly how big a reach or a steal really is.

What's included (35 fields)+
Fields included in Draft Value Engine, each with what it means
VBDPoints above the positional replacement baseline
TierProjection tier - the unit that actually breaks in a draft
Week difficultyOpponent Elo above league mean for each remaining week, rest-adjusted with a coefficient that earned its place on a held-out season
Season SOSMean remaining-schedule difficulty; rank 1 = hardest road. Preseason predictive power is weak and stated as such - the validated use is in-season
Next-4 SOSMean difficulty of the coming four weeks - the window that beat the naive last-season-record baseline in every season backtested (etl/sos_backtest.json)
Playoff SOSMean difficulty across fantasy playoff weeks 15-17
Positional next-4Mean opponent DvP index at this position over the coming four weeks; above 1.00 = softer than league average
Reach indexThis player's VBD minus the expected best VBD still available at your NEXT pick, at your slot - the cost of waiting, in points
Survives to next pickProbability the player is still on the board at your next pick, from the availability model recovered from this board's own curves
VerdictPICK_NOW / VALUE_WAITS (undervalued and likely to survive) / TRAP (a discount you will not get to use) / WAIT / TOSS_UP
Auction $Dollar value on a $200 budget
Market ADPConsensus ADP across nine platforms
ADP deltaBoard rank minus market rank; positive means the market is late
FlagValue / reach tag where board and market diverge materially
Board rankRank on this board, all positions
Opponent EloOpponent's Elo rating for this week's matchup, the raw input behind the difficulty score
Season SOS rankRank of this player's season-long strength of schedule, 1 = hardest road
Matchup indexHow much MORE (>1) or LESS (<1) the opponent has allowed to this position than league average, trailing and shrunk to its own sample size
Matchup rank1 = toughest defense against this position, 32 = easiest, among teams with enough trailing games to rank
DvP sample sizeTrailing games behind this position's DvP index - larger samples get less shrinkage toward league average
Season positional SOSMean opponent DvP index at this position across the full season; above 1.00 = softer than league average
Playoff positional SOSMean opponent DvP index at this position across the fantasy playoff weeks 15-17
Survives to this pickProbability the player is still on the board at THIS pick, from the availability model
Best available at next pickExpected best VBD still available at your NEXT pick, at your slot
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared season_projections row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared season_projections row
Rec TDProjected receiving touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared season_projections row
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared season_projections row
Rush TDProjected rushing touchdowns - Positional Stat Lines' own field, riding along on the shared season_projections row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared season_projections row
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared season_projections row
TD dependencyShare of a player's projected points that comes from touchdowns - Touchdown Equity's own field, riding along on the shared season_projections row
Total TDProjected total touchdowns across rushing, receiving and passing - Positional Stat Lines' own field, riding along on the shared season_projections row
07

Draft Availability Simulator

Stop guessing whether your guy makes it back to you. A live simulation of the picks between now and your next turn, tuned so late-round uncertainty behaves like a real draft room instead of a flat coin flip.

What's included (8 fields)+
Fields included in Draft Availability Simulator, each with what it means
Availability curveP(available) at each of the 14 picks from your slot
Gone byExpected pick number at which this player is taken
ADPConsensus ADP driving the simulation
WR tiers leftExpected WR tier 1-4 survivors at that pick
RB tier 3 leftExpected RB tier 3 survivors at that pick
TE tiers leftExpected TE tier 1-2 survivors at that pick
QB tiers leftExpected QB tier 1-2 survivors at that pick
VBDPoints above the positional replacement baseline - Draft Value Engine's own field, riding along on the shared draft_availability row
08

Game Forecast

Win probability, projected score, and a real range around both - free, forever, at every tier. It's the one number you can check against reality every single week, which is exactly why we don't charge for it.

What's included (10 fields)+
Fields included in Game Forecast, each with what it means
P(home win)Blended win probability: 75% market-implied, 25% Elo
Projected scoreMean across the simulated games for this matchup
Model marginBlended expected margin
Projected totalExpected combined points
Total 5th pctLow end of the 90% total interval
Total 95th pctHigh end of the 90% total interval
Margin 5th pctLow end of the 90% margin interval
Margin 95th pctHigh end of the 90% margin interval
ConfidenceAnalyst confidence band on the outright take
Team EloRating carried from every result 2002-2025
09

Verification Ledger

The accuracy audit most vendors never publish: every signal we've tested, including the ones that failed, with dates and sources attached. If a claim on this site can't survive being checked, it doesn't ship - and this is where you check it. Free at every tier, permanently.

What's included (9 fields)+
Fields included in Verification Ledger, each with what it means
Reliability curvePredicted vs observed frequency per probability bucket for the availability model - free at every tier
Segment skillBrier skill inside each designation bucket, against that bucket's own base rate
Verdicttarget / gem / qualified / uncertain / unverified / killed
Model saidThe signal the model produced, verbatim
RealityWhat the depth-chart and beat-reporting check actually found
Verdict detailThe one-line reasoning, with dates and sources
Snap sharePrior-season snap share supporting or undercutting the role
Target sharePrior-season target share
Corrected volumeHand-floored attempts where a 2025 backup is a 2026 starter
10

Leg Correlation Matrix

Same-game player pairs almost never move independently, and most prop and lineup-building tools handle that with a warning label instead of a number. This package publishes the actual correlation for 744 same-game pairs - both touchdown counts and total fantasy points - so you know which pairs genuinely move together before you build a stack, and which don't.

What's included (34 fields)+
Fields included in Leg Correlation Matrix, each with what it means
TD count corrCorrelation between the two players' touchdown counts under the shared team-budget model
Anytime-TD corrDelta-method correlation between the two anytime-TD indicators
Shared covarianceThe covariance the pair inherits from the game environment - the driver of both correlations
Relationsame_team (shared budget) or same_game_opponents (coupled budgets)
Lambda AExpected TDs for player A, from the props dataset
Lambda BExpected TDs for player B
Anytime TD % APublished anytime-TD probability for player A
Anytime TD % BPublished anytime-TD probability for player B
Archetype pairThe role match this leg was scored under - e.g. QBxWR1, RB1xRB1_opp - from THIS WEEK'S own projected volume, not the outcome
Points corr (measured)Ex-ante, leakage-checked correlation of half-PPR FANTASY POINTS for this archetype pair, fitted on 2022-2024 and backtested on 2025
Points corr gappoints_correlation_measured minus 0.0 - the independence every per-player interval on this site currently assumes when combined into a lineup
Points corr sampleTeam-weeks behind the archetype-pair estimate
Points corr CI low95% bootstrap interval, lower bound, resampled by team-week
Points corr CI high95% bootstrap interval, upper bound
Points corr validatedWhether THIS pair's fitted correlation beat assuming independence on the 2025 held-out backtest, not merely in the fitting sample - true for 7 of 11 archetype pairs, false for the other 4
Anytime TD %P(at least one TD) = 1 - e^-lambda - Touchdown Equity's own field, riding along on the shared player_props row
Anytime TD % (reported)The published, rounded anytime-TD probability - Touchdown Equity's own field, riding along on the shared player_props row
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared player_props row
DivergenceElo-only minus market, in percentage points - Market Divergence Board's own field, riding along on the shared slate row
Expected rec. TDReceiving share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
Expected rush TDRushing share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
Expected TDsPoisson rate: expected touchdowns this game - Touchdown Equity's own field, riding along on the shared player_props row
Model impliedUnblended rating-based probability - Market Divergence Board's own field, riding along on the shared slate row
Market impliedVig-free market probability from the two-way moneyline - Market Divergence Board's own field, riding along on the shared slate row
AttemptsProjected pass attempts for the week - Positional Stat Lines' own field, riding along on the shared player_props row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared player_props row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared player_props row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared player_props row
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared player_props row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared player_props row
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared player_props row
TD shareShare of the projection that is touchdown expectation rather than yardage - Positional Stat Lines' own field, riding along on the shared player_props row
2+ TD %P(two or more TD) = 1 - e^-lambda(1+lambda) - Touchdown Equity's own field, riding along on the shared player_props row
Volume hand-correctedTrue when this week's volume projection was manually adjusted for a role change nflverse trailing data would not yet reflect - Positional Stat Lines' own field, riding along on the shared player_props row
11

Outcome Board

Pick any group of players and get one combined projected range - floor, median, ceiling - built from their real measured correlation instead of pretending every player's outcome is independent of the others on the field. Built for stacking a QB with his own pass-catchers, or checking how a full lineup's range actually adds up.

What's included (45 fields)+
Fields included in Outcome Board, each with what it means
Combined median (naive)Sum of the selected players' own medians, spread combined assuming independence between every pair
Combined floor (naive)10th percentile of the group total under the independence assumption
Combined ceiling (naive)90th percentile of the group total under the independence assumption
Combined median (adjusted)Identical to the naive median - correlation moves the SPREAD of a sum, never its centre
Combined floor (adjusted)10th percentile of the group total using the measured pairwise correlation for every pair this site has fitted, independence for every pair it hasn't
Combined ceiling (adjusted)90th percentile of the group total, same basis as the adjusted floor
Pair correlation usedThe correlation actually applied for one pair in the selection - 0 unless the pair was measured
Pair sourcemeasured_validated | measured_directional | same_game_unmatched_role | different_game - see limits
Matchup environment gapEach selected player's own environment_gap from the Market Divergence Board, carried into the same view rather than requiring a second lookup
Correlation-adjusted boardThe combined median/floor/ceiling computed with the measured pairwise correlation for every fitted pair, replacing the independence assumption
Pair sourcingPer-pair correlation and source detail behind the adjusted board (pair_correlation_used, pair_source)
Matchup contextEach selected player's own environment_gap from the Market Divergence Board, carried into this view
Anytime TD %P(at least one TD) = 1 - e^-lambda - Touchdown Equity's own field, riding along on the shared player_props row
Anytime TD % (reported)The published, rounded anytime-TD probability - Touchdown Equity's own field, riding along on the shared player_props row
Archetype pairThe role match this leg was scored under - e.g. QBxWR1, RB1xRB1_opp - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
CarriesProjected rush attempts - Positional Stat Lines' own field, riding along on the shared player_props row
Distortion directionWhich side the flagged distortion leans - under or over the frozen shipped projection - Market Divergence Board's own field, riding along on the shared matchups row
Distortion flagTrue only when the matchup gap is large and validated - Market Divergence Board's own field, riding along on the shared matchups row
DvP confidenceConfidence in this position's matchup index, from trailing sample size and consistency - Market Divergence Board's own field, riding along on the shared matchups row
Matchup indexHow much MORE (>1) or LESS (<1) the opponent has allowed to this position than league average - Market Divergence Board's own field, riding along on the shared matchups row
DvP league averageLeague-average value allowed to this position - Market Divergence Board's own field, riding along on the shared matchups row
DvP sample sizeTrailing games behind this position's DvP index - Market Divergence Board's own field, riding along on the shared matchups row
Matchup validatedWhether this position's matchup index actually predicted future points allowed better than league average, on held-out data - Market Divergence Board's own field, riding along on the shared matchups row
Matchup rank1 = toughest defense against this position, 32 = easiest - Market Divergence Board's own field, riding along on the shared matchups row
Environment gapMatchup-implied points minus the frozen shipped projection - Market Divergence Board's own field, riding along on the shared matchups row
Expected rec. TDReceiving share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
Expected rush TDRushing share of the player's expected-touchdown rate - Touchdown Equity's own field, riding along on the shared player_props row
Expected TDsPoisson rate: expected touchdowns this game - Touchdown Equity's own field, riding along on the shared player_props row
Matchup-implied pointsPoints implied by the matchup-only read, independent of the frozen shipped projection - Market Divergence Board's own field, riding along on the shared matchups row
AttemptsProjected pass attempts for the week - Positional Stat Lines' own field, riding along on the shared player_props row
Pass TDProjected passing touchdowns - Positional Stat Lines' own field, riding along on the shared player_props row
Pass yardsProjected passing yards - Positional Stat Lines' own field, riding along on the shared player_props row
Points corr CI high95% bootstrap interval, upper bound - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Points corr CI low95% bootstrap interval, lower bound - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Points corr gappoints_correlation_measured minus 0.0, the independence assumption it replaces - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Points corr (measured)Ex-ante, leakage-checked correlation of half-PPR fantasy points for this archetype pair - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Points corr sampleTeam-weeks behind the archetype-pair estimate - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Points corr validatedWhether this pair's fitted correlation beat assuming independence on the held-out backtest - Leg Correlation Matrix's own field, riding along on the shared points_correlations row
Receiving yardsProjected receiving yards - Positional Stat Lines' own field, riding along on the shared player_props row
ReceptionsProjected catches - Positional Stat Lines' own field, riding along on the shared player_props row
Rush yardsProjected rushing yards - Positional Stat Lines' own field, riding along on the shared player_props row
TargetsProjected targets - Positional Stat Lines' own field, riding along on the shared player_props row
TD shareShare of the projection that is touchdown expectation rather than yardage - Positional Stat Lines' own field, riding along on the shared player_props row
2+ TD %P(two or more TD) = 1 - e^-lambda(1+lambda) - Touchdown Equity's own field, riding along on the shared player_props row
Volume hand-correctedTrue when this week's volume projection was manually adjusted for a role change nflverse trailing data would not yet reflect - Positional Stat Lines' own field, riding along on the shared player_props row
12

NHL Game Forecast

Win probability, projected margin and a 90% interval for every NHL game, free - plus the model-vs-market comparison behind it: our Elo-only read, the devigged market read, and the gap between them.

What's included (9 fields)+
Fields included in NHL Game Forecast, each with what it means
P(home win)Blended win probability where a market blend is available, Elo-only otherwise - see market_blend_applied
Model marginBlended expected margin
Margin 5th pctLow end of the 90% margin interval
Margin 95th pctHigh end of the 90% margin interval
Market blend appliedTrue when a real SportsGameOdds market probability was blended in; false means Elo-only, and p_home_win then equals p_home_elo_only exactly
Model implied (Elo only)Unblended rating-based probability
Market impliedVig-free market probability from SportsGameOdds' two-way moneyline
DivergenceElo-only minus market, in percentage points
Team EloSeason-level historical rating (Hockey Databank prior), updated game-by-game from SportsGameOdds' own results going forward
13

The Weekly Board

Every week, before you ask: the top touchdown probabilities ranked with matchup context, the top projected yardage at every stat, and twenty candidate lineups - each one simulated ten thousand times with measured player correlations, so you see the floor and ceiling of the whole lineup, not just its pieces. Archived before kickoff, scored after the games. The record is public either way.

What's included (9 fields)+
Fields included in The Weekly Board, each with what it means
SectionWhich board this row belongs to: top_td, top_yardage, lineup, or lineup_slot
RankPosition within the section, by the section's own ordering
Anytime TDThe same published probability the TD Equity board sells, ranked
ProjectedLineup rows: mean simulated half-PPR score. Yardage rows: the published yardage mean
Lineup p55th percentile of the lineup's simulated score - the correlated floor
Lineup p9595th percentile - the correlated ceiling
ConstructionHow the candidate was built: chalk, stack:{team}, double:{team}, or ceiling-tilt
Fitted pairsHow many of the lineup's 28 player pairs used a MEASURED correlation rather than the labelled independence assumption
LineupThe eight names, QB/RB/RB/WR/WR/WR/TE/FLEX
Questions

Before you start a trial

The questions we actually get, answered plainly. Full detail always lives at /legal.

Do you sell picks, predictions, or betting advice?+

No, at any tier, ever. Every package publishes probabilities and ranges, never a pick, a stake, or an EV figure - that boundary is stated on every relevant package and is a deliberate limit, not an oversight.

How do I know the projections are actually accurate?+

The Verification Ledger is free at every tier and publishes the model's out-of-sample track record, including the signals that were tested and killed rather than shipped. It is the one package built specifically so you do not have to take our word for it.

Do I need a credit card to start?+

No. A new account gets full Active access free for 30 days with no card at all. Choose a plan before it ends and access continues without interruption; do nothing and access locks - never charged, never deleted - and purchasing any time afterward turns it back on. Accounts that existed before the free month replaced the permanent free Scout tier keep Scout permanently, also with no card.

What's actually different between Scout, Active, and Feed?+

Scout sees every row with some columns hidden. Active unlocks every column, read on the site, for one person making real roster decisions. Feed adds export (CSV/JSON), a metered API, and version-pinned datasets for building outside our pages.

Can I cancel or change plans any time?+

Yes - cancel whenever you like and your access runs to the end of the period you already paid for. Full terms are at /legal/refunds.

What happens to my money if I cancel right after paying?+

Cancel within seven days of a charge and you have not exported anything, and we refund it in full on request. After that we do not refund part-months, because the data was already served - the exact policy is at /legal/refunds.

What sport does this cover?+

Mostly NFL - player projections, availability, matchup data and the Weekly Board synthesis for season-long fantasy, DFS, and player props, across twelve packages. NHL is one package so far: team-level Game Forecast (win probability, projected margin, model-vs-market read). No player-level NHL data yet - no rosters, no props, no injury feed, no draft content.

Is there an API?+

Yes, on the Feed plan: a metered API at 5,000 requests a day, plus every release version-pinned and hash-verified so you can rebuild a dataset and get back byte-identical files. The full endpoint reference is public at /docs/api - no account needed to evaluate it.

How do I get in touch?+

Email support@apexdatum.io directly - a real inbox, not a contact form. Response time depends on plan; see the Support row on each tier above.

What do the terms and conditions cover?+

What the product is and isn't - no picks, no EV figures, no wagering advice, at any tier - how accounts and API keys work, plan and seat rules, that one-off passes are dated and non-refundable (with a carve-out if access never arrives), how dataset and methodology changes are handled, liability limits, and how cancellation works. Full text is at /legal/terms.