Are the signals earning trust?

Performance

Daily results β†’
Cohort
Period
Market
All
⚾ Batter
Direction
Filtered to CohortOther qualifyingDirectionOver
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 (+4.2 pts over base, n=2,985).

Trend

Overall hit rate is 62.5%, +9.7 pts over baseline β€” down 1.0 points on the previous 90 days, which ran +2.9 pts.

Performance summary

Hit rate
62.5%
2729–1640 record
vs baseline
+9.7 pts
vs 53% base
Graded
4,369
61 slates
Last 90 days Β· Other qualifying Β· previous 90 days: 63.5% (+2.9 pts over base) -1.0 pts Β· 338 void Β· 13 pending Β· avg score 80

Accuracy is +9.7 pts above baseline overall, but most of that edge is concentrated in Assists and Rebounds rather than spread across the slate.

All qualifying2995–181362.3%n=4808
Featured266–17360.6%n=439
Other qualifying2729–164062.5%n=4369

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+4.2 ptsall -4.1 pts Β· n=13,97064.8% base 61%2,985
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 Judged on the engine running today: a superseded scorer’s serving share is not a fact about the current one.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+4.2 pts n=2,985
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.

Score is directionally useful, but not perfectly monotonic β€” 99–100 runs +19.7 pts above 70–74 over base, with 2 of 6 steps going the wrong way.

Predictions scored 90+ outperform everything below them by 15.3 pts over base (n=808).

Scores between 70–74 and 80–84 are not separating from each other.

Current scoring engine only β€” 1,379 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.

70–7464.7%n=1,205
75–7964.4%n=694
80–8464.6%n=308
85–8950.5%n=107
90–9453.5%n=200
95–9855.9%n=68
99–10060.2%n=540
Observed hit rateBase rate for that band’s props β€” the gap is the edge
Score bandRecordHit rateSampleVoidsvs base
70–74780–42564.7%n=120590+5.6 pts base 59%
75–79447–24764.4%n=69444+5.7 pts base 59%
80–84199–10964.6%n=30831+7.3 pts base 57%
85–8954–5350.5%n=1072+3.2 pts base 47%
90–94107–9353.5%n=2009+12.8 pts base 41%
95–9838–3055.9%n=685+11.2 pts base 45%
99–100325–21560.2%n=54025+25.3 pts base 35%

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
Rebounds+26.5 pts base 38%64.9%n=302196–106no prior period
Assists+24.7 pts base 38%62.5%n=283177–106no prior period
Batter Ks+22.8 pts base 22%44.7%n=4721–26no prior period
Points+21.9 pts base 44%66.3%n=416276–140no prior period
SP Strikeouts+11.7 pts base 34%46.0%n=302139–163no prior period
SP Hits Allowed+6.6 pts base 35%41.3%n=15564–91no prior period
Batter Hits+4.2 pts base 61%64.8%n=2,8641856–1008β†’ +1.3 from 63%

Over vs Under

Only Over predictions were served in this selection (+9.6 pts over base, n=4,369), so the two sides cannot be compared.

Over2729–164062.5%+9.6 pts vs basen=4,369
Under0–0Not gradedn=0
MarketOverrate Β· pts vs baseUnderrate Β· pts vs base
Batter Hits64.8% +4.2n=2,864β€”
Batter Ks44.7% +22.8n=47β€”
SP Strikeouts46.0% +11.7n=302β€”
SP Hits Allowed41.3% +6.8n=155β€”
Points66.3% +22.4n=416β€”
Rebounds64.9% +27.3n=302β€”
Assists62.5% +24.7n=283β€”
Deeper diagnostics

Consistency

Performance spans 59%–64% across these windows, with Last 7 4.0 points weaker than all time.

Last 7
58.5%
55–39 n=94
-3.3 pts vs Last 30
Last 30
61.8%
969–599 n=1,568
-2.0 pts vs Prev 30
Prev 30
63.8%
1320–750 n=2,070
β€”
Season
62.5%
2835–1701 n=4,536
β€”
All time
62.5%
2835–1701 n=4,536
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 Hits65%n=2864↑ +13vs prior 3β€”64%n=1150%n=478%n=944%n=933%n=18β€”20%n=5
SP Strikeouts46%n=349building sampleβ€”β€”β€”β€”50%n=2100%n=2β€”β€”
SP Hits Allowed41%n=155building sampleβ€”β€”β€”β€”β€”β€”β€”β€”
Points66%n=416building sample86%n=786%n=7β€”β€”100%n=2β€”100%n=4100%n=1
Rebounds65%n=302building sample40%n=560%n=5β€”β€”100%n=1β€”33%n=3100%n=1
Assists63%n=283building sample50%n=475%n=4β€”β€”25%n=4β€”33%n=3100%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
2026-07106–6163.5% n=167+2.9 pts base 61%
2026-081373–82562.5% n=2,198+10.5 pts base 52%
2026-091290–76862.7% n=2,058+9.0 pts base 54%
2026-1066–4758.4% n=113+5.6 pts base 53%

Model version performance

2 of 7 current model versions are outperforming the versions they replaced; MLB Batter Hits, WNBA Points, MLB SP Strikeouts, WNBA Rebounds and WNBA Assists are behind. WNBA Rebounds, MLB SP Hits Allowed and MLB Batter Ks rest on a sample too small to call.

VersionActiveRecordHit ratevs basevs previous version
MLB Batter Hits
batter-hit-v62026-08-21β†’2026-10-071341–70765.5% n=2,048+4.9 pts base 61%-1.2 pts behind batter-hit-v5
4 earlier versions2026-07-05β†’2026-08-20621–36263.2% n=983+2.6 pts base 61%
WNBA Points
wnba-pra-v42026-08-21β†’2026-10-09180–9465.7% n=274+20.9 pts base 45%-12.1 pts behind wnba-pra-v3
4 earlier versions2026-08-03β†’2026-08-2196–4667.6% n=142+23.8 pts base 44%
MLB SP Strikeouts
sp-v42026-08-21β†’2026-10-0498–12543.9% n=223+8.2 pts base 36%-16.8 pts behind sp-v3
3 earlier versions2026-08-03β†’2026-08-2041–3851.9% n=79+21.6 pts base 30%
WNBA Rebounds
wnba-pra-v42026-08-21β†’2026-10-09141–8063.8% n=221+24.5 pts base 39%-21.3 pts behind wnba-pra-v3Small sample
4 earlier versions2026-08-03β†’2026-08-2055–2667.9% n=81+32.1 pts base 36%
WNBA Assists
wnba-pra-v42026-08-21β†’2026-10-09117–7660.6% n=193+21.6 pts base 39%-6.3 pts behind wnba-pra-v3
4 earlier versions2026-08-03β†’2026-08-2060–3066.7% n=90+31.3 pts base 35%
MLB SP Hits Allowed
sp-v42026-08-21β†’2026-10-0154–6744.6% n=121+9.8 pts base 35%+13.7 pts better than sp-v3Small sample
2 earlier versions2026-08-05β†’2026-08-2010–2429.4% n=34-4.8 pts base 34%
MLB Batter Ks
batter-k-v22026-08-21β†’2026-10-0319–2345.2% n=42+23.4 pts base 22%+5.2 pts better than batter-k-v1Small sample
1 earlier version2026-08-15β†’2026-08-192–340.0% n=5+18.2 pts base 22%

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.