Are the signals earning trust?

Performance

Daily results β†’
Cohort
Period
Market
All
⚾ Batter
Direction
Filtered to CohortFeaturedDirectionOver
Signal check
Strongest

Assists is the strongest edge on this slate β€” +29.7 pts over its own base rate across 345 graded predictions.

Weakest

Batter Hits shows no measured edge either way (+4.1 pts over base, n=3,160).

Trend

Overall hit rate is 60.4%, +24.2 pts over baseline.

Performance summary

Hit rate
60.4%
270–177 record
vs baseline
+24.2 pts
vs 36% base
Graded
447
66 slates
2026 season Β· Featured Β· 32 void Β· 4 pending Β· avg score 98

The model is showing meaningful predictive signal over this period β€” +24.2 pts over baseline on 447 graded predictions, with the strongest separation in Assists and Rebounds.

All qualifying3105–187862.3%n=4983
Featured270–17760.4%n=447
Other qualifying2835–170162.5%n=4536

What's working

Every market ranked by the edge it holds over the rate its own event happens without us β€” not by how often it converts. The tables further down read served predictions only, so the β€œall” figure beside each edge is the check that a market which never clears the floor is not mistaken for one that does not work.

Marketranked by edgeEdge vs baseserved Β· all predictionsHit rateservedNservedShare servedcleared 70+
Assists+29.7 ptsall +24.1 pts Β· n=47764.3% base 35%345
Rebounds+28.9 ptsall +20.8 pts Β· n=54363.5% base 35%367
Points+24.0 ptsall +12.2 pts Β· n=72765.5% base 41%466
Batter Ks+21.3 ptsall +15.2 pts Β· n=34343.1% base 22%51
SP Strikeouts+15.7 ptsall +15.3 pts Β· n=40849.7% base 34%392
SP Hits Allowed+7.2 ptsall +6.2 pts Β· n=21542.1% base 35%202
Batter Hits+4.1 ptsall -4.0 pts Β· n=14,26464.7% base 61%3,160
Edge is the served props’ hit rate minus the rate that event happens on its own; β€œall” is the same figure over everything the market predicted, floor or not. β€œStarved” means the market beats its base rate by 5+ points across everything it predicted, yet under a tenth of those ever clear the floor β€” the scale cannot reach, so the edge is never offered. Judged on the engine running today: a superseded scorer’s serving share is not a fact about the current one.

Trust board

The page’s verdict, from edge over baseline, sample size and recent trend together β€” never from hit rate alone. A tier with nothing in it is not shown.

Strong signal
Beats its own base rate by 10+ points on a real sample.
  • Assists+29.7 pts n=345
  • Rebounds+28.9 pts n=367
  • Points+24.0 pts n=466
  • SP Strikeouts+15.7 pts n=392
Promising
A measurable edge, on a smaller sample or a smaller margin.
  • Batter Ks+21.3 pts n=51n=51
  • SP Hits Allowed+7.2 pts n=202
Watch
No measured edge either way β€” or an edge that has fallen sharply.
  • Batter Hits+4.1 pts n=3,160
The evidence

Score calibration

The scoring system is worth having only if a higher score means a better outcome. Each band is measured against the base rate of the props it actually holds β€” the top band is almost purely 1+ hit, so a raw-rate reading of this table would credit it for carrying a common event.

Not enough graded predictions yet to judge whether higher scores perform better.

The 75–79, 80–84, 85–89 and 90–94 bands remain too small to read.

Current scoring engine only β€” 149 predictions from superseded versions excluded. Pooling engines once made the top band look anti-predictive when it was not; per-version records are in the model table below.

75–7950.0%n=6
80–8433.3%n=3
85–89100.0%n=1
90–9450.0%n=12
99–10059.4%n=293
Observed hit rateBase rate for that band’s props β€” the gap is the edge
Score bandRecordHit rateSampleVoidsvs base
75–79Small sample3–350.0%n=60+8.8 pts base 41%
80–84Small sample1–233.3%n=30-14.3 pts base 48%
85–89Small sample1–0100.0%n=10+39.4 pts base 61%
90–94Small sample6–650.0%n=120+7.9 pts base 42%
99–100174–11959.4%n=29315+33.9 pts base 26%

Where the model has edge

Segments by market, ranked by lift over their own base rate. Anything under the minimum sample is separated and labelled rather than ranked alongside β€” a high percentage on twenty predictions is not a discovered edge.

Segmentvs baseHit rateNRecordvs prior period
Reliable edgesn β‰₯ 30 graded
Assists+51.6 pts base 21%72.6%n=6245–17no prior period
Points+37.7 pts base 20%58.0%n=5029–21no prior period
Rebounds+35.9 pts base 21%56.9%n=6537–28no prior period
SP Strikeouts+28.8 pts base 33%62.2%n=9056–34no prior period
SP Hits Allowed+9.1 pts base 36%44.7%n=4721–26no prior period
Batter Hits+2.2 pts base 61%62.8%n=12981–48no prior period
Small-sample signalsunder 30 graded β€” not yet a measured edge
Batter KsSmall sample+3.2 pts base 22%25.0%n=41–3no prior period

Over vs Under

Only Over predictions were served in this selection (+23.9 pts over base, n=447), so the two sides cannot be compared.

Over270–17760.4%+23.9 pts vs basen=447
Under0–0Not gradedn=0
MarketOverrate Β· pts vs baseUnderrate Β· pts vs base
Batter Hits62.8% +2.2n=129β€”
Batter Ks25.0% +3.2n=4β€”
SP Strikeouts62.2% +28.9n=90β€”
SP Hits Allowed44.7% +8.6n=47β€”
Points58.0% +38.0n=50β€”
Rebounds56.9% +36.2n=65β€”
Assists72.6% +52.7n=62β€”
Deeper diagnostics

Consistency

Performance spans 53%–67% across these windows, with Last 7 7.8 points weaker than all time.

Last 7
52.6%
20–18 n=38
-3.5 pts vs Last 30
Last 30
56.1%
105–82 n=187
-11.2 pts vs Prev 30
Prev 30
67.4%
124–60 n=184
β€”
Season
60.4%
270–177 n=447
β€”
All time
60.4%
270–177 n=447
β€”

Market pulse

Each market’s recent slates against its own period average. The trend column is the row’s answer; the grid behind it fades with age.

MarketPeriodTrendOct9Oct7Oct6Oct5Oct4Oct3Oct2Oct1
Batter Hits63%n=129building sampleβ€”β€”100%n=1β€”β€”100%n=1β€”β€”
SP Strikeouts61%n=94building sampleβ€”β€”75%n=425%n=4β€”100%n=3β€”β€”
SP Hits Allowed45%n=47building sampleβ€”β€”β€”β€”β€”0%n=1β€”β€”
Points58%n=50building sample50%n=250%n=2β€”β€”50%n=4β€”0%n=125%n=4
Rebounds57%n=65building sample100%n=30%n=3β€”β€”33%n=3β€”75%n=450%n=2
Assists73%n=62building sample33%n=367%n=3β€”β€”0%n=1β€”33%n=350%n=2
Above own averageNear own averageBelow own averageOlder slates fade; faded cells also have fewer than 5 decisions

By month

Lift over base, 2026-07 β†’ 2026-10
MonthRecordHit ratevs base
2026-0718–869.2% n=26+16.2 pts base 53%
2026-08121–6565.1% n=186+20.2 pts base 45%
2026-09104–7757.5% n=181+29.2 pts base 28%
2026-1027–2750.0% n=54+25.5 pts base 24%

Model version performance

0 of 5 current model versions are outperforming the versions they replaced; MLB Batter Hits, MLB SP Strikeouts, WNBA Rebounds, WNBA Assists and WNBA Points are behind. MLB Batter Hits, MLB SP Strikeouts, WNBA Rebounds, WNBA Assists and WNBA Points rest on a sample too small to call.

VersionActiveRecordHit ratevs basevs previous version
MLB Batter Hits
batter-hit-v62026-09-10β†’2026-10-064–357.1% n=7-3.4 pts base 61%-20.6 pts behind batter-hit-v5Small sample
4 earlier versions2026-07-05β†’2026-08-2077–4563.1% n=122+2.5 pts base 61%
MLB SP Strikeouts
sp-v42026-08-21β†’2026-10-0655–3461.8% n=89+28.3 pts base 34%-49.0 pts behind sp-v3Small sample
1 earlier version2026-08-11β†’2026-08-111–0100.0% n=1+77.3 pts base 23%
WNBA Rebounds
wnba-pra-v42026-08-23β†’2026-10-0936–2658.1% n=62+37.3 pts base 21%-52.2 pts behind wnba-pra-v3Small sample
2 earlier versions2026-07-15β†’2026-08-201–233.3% n=3+7.5 pts base 26%
WNBA Assists
wnba-pra-v42026-08-23β†’2026-10-0944–1772.1% n=61+52.5 pts base 20%-4.3 pts behind wnba-pra-v0.1Small sample
1 earlier version2026-07-15β†’2026-07-161–0100.0% n=1+56.9 pts base 43%
WNBA Points
wnba-pra-v42026-08-23β†’2026-10-0924–2153.3% n=45+35.5 pts base 18%-20.5 pts behind wnba-pra-v0.1Small sample
1 earlier version2026-07-15β†’2026-07-155–0100.0% n=5+56.0 pts base 44%
MLB SP Hits Allowed
sp-v42026-08-21β†’2026-10-0321–2644.7% n=47+9.1 pts base 36%first version on this ledger
MLB Batter Ks
batter-k-v22026-10-05β†’2026-10-061–325.0% n=4+3.2 pts base 22%first version on this ledger

Methodology

Edge over baseline, never a raw hit rate
Every β€œvs base” figure is the observed hit rate minus how often that exact prop’s event happens on its own, for the population that could plausibly have been offered it. A batter getting 1+ hit happens ~61% of the time unprompted; a starter striking out 8+ happens ~13% of the time. Against one shared average the rare-event markets look bad no matter how well they are picked.
Opportunity Score is a ranking signal, not a probability
70 is the publication floor. A 93 is not β€œ93% likely” β€” it is an estimate of edge over the market’s own base rate. Observed hit rates on this page are outcomes, not forecasts.
Sample size is a headline, not a footnote
Under 30 graded predictions a segment is separated and marked rather than ranked. Predictions inside one slate are correlated, so a run of good days is less independent evidence than its count suggests.
Cohorts
All qualifying is every published prediction scoring 70+. Featured is the eight carried on Today. Other qualifying is the remainder β€” the split exists to check that ranking, not just scoring, is doing something.
Calibration reads the current engine only
A superseded scorer’s calibration is not a fact about the one running today. Pooling engines once made the top band look anti-predictive when it was not. Per-version records stay in the model table above.
What is not here
No odds are consumed anywhere on this page. Total bases and batter walks are excluded β€” both were retired for being unservable rather than for being wrong. Voids and pending predictions are excluded from every hit rate.