Are the signals earning trust?

Performance

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

Assists is the strongest edge on this slate β€” +27.5 pts over its own base rate across 169 graded predictions.

Weakest

Batter Hits shows no measured edge either way (+4.5 pts over base, n=988).

Trend

Overall hit rate is 61.4%, +8.7 pts over baseline β€” down 1.5 points on the previous 30 days, which ran +9.8 pts.

Performance summary

Hit rate
61.4%
1128–709 record
vs baseline
+8.7 pts
vs 53% base
Graded
1,837
27 slates
Last 30 days Β· Other qualifying Β· previous 30 days: 62.9% (+9.8 pts over base) -1.5 pts Β· 147 void Β· 13 pending Β· avg score 82

Accuracy is +8.7 pts above baseline overall, but most of that edge is concentrated in Assists and Rebounds rather than spread across the slate.

All qualifying1253–79661.2%n=2049
Featured125–8759.0%n=212
Other qualifying1128–70961.4%n=1837

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+27.5 ptsall +25.5 pts Β· n=18863.3% base 36%169
Rebounds+26.0 ptsall +24.8 pts Β· n=19659.3% base 33%167
Points+25.1 ptsall +16.9 pts Β· n=24765.3% base 40%193
SP Hits Allowed+7.8 ptsall +4.8 pts Β· n=36554.5% base 47%209
SP Strikeouts+7.6 ptsall +7.2 pts Β· n=36552.9% base 45%295
Batter Hits+4.5 ptsall -5.1 pts Β· n=5,01565.1% base 61%988
Batter Ks+6.7 ptsall +11.2 pts Β· n=13028.6% base 22%28Small
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 Judged on the engine running today: a superseded scorer’s serving share is not a fact about the current one.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+27.5 pts n=169
  • Rebounds+26.0 pts n=167
  • Points+25.1 pts n=193
Promising
A measurable edge, on a smaller sample or a smaller margin.
  • SP Hits Allowed+7.8 pts n=209
  • SP Strikeouts+7.6 pts n=295
Watch
No measured edge either way β€” or an edge that has fallen sharply.
  • Batter Hits+4.5 pts n=988
Too early to say
Too few graded predictions to judge. Not a verdict.
  • Batter Ks+6.7 pts n=28
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 +19.1 pts above 70–74 over base, with 3 of 6 steps going the wrong way.

Predictions scored 90+ outperform everything below them by 15.4 pts over base (n=522).

70–7462.4%n=639
75–7963.7%n=452
80–8460.8%n=166
85–8946.6%n=58
90–9457.6%n=92
95–9859.7%n=72
99–10060.6%n=358
Observed hit rateBase rate for that band’s props β€” the gap is the edge
Score bandRecordHit rateSampleVoidsvs base
70–74399–24062.4%n=63961+4.3 pts base 58%
75–79288–16463.7%n=45233+5.9 pts base 58%
80–84101–6560.8%n=16620+2.8 pts base 58%
85–8927–3146.6%n=582-2.2 pts base 49%
90–9453–3957.6%n=927+15.3 pts base 42%
95–9843–2959.7%n=726+8.0 pts base 52%
99–100217–14160.6%n=35818+23.4 pts base 37%

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
Points+22.3 pts base 46%68.4%n=158108–50β†’ +0.9 from 67%
Assists+21.7 pts base 40%62.0%n=12980–49↑ +3.2 from 59%
Rebounds+20.2 pts base 39%59.4%n=12876–52↓ -12.7 from 72%
SP Hits Allowed+7.5 pts base 48%55.5%n=17396–77↑ +7.6 from 48%
Batter Hits+4.6 pts base 61%65.1%n=981639–342β†’ -0.8 from 66%
SP Strikeouts+3.5 pts base 47%50.0%n=244122–122↓ -10.6 from 61%
Small-sample signalsunder 30 graded β€” not yet a measured edge
Batter KsSmall sample+7.3 pts base 22%29.2%n=247–17no prior period

Over vs Under

Over signals are outperforming Under by 4.7 points of lift (+9.4 pts against +4.7 pts). Sample sizes differ substantially (1,568 against 269), which is a fact about what the slate offers, not about the sides.

Over969–59961.8%+9.4 pts vs basen=1,568
Under159–11059.1%+4.7 pts vs basen=269
MarketOverrate Β· pts vs baseUnderrate Β· pts vs base
Batter Hits65.1% +4.6n=981β€”
Batter Ks29.2% +7.3n=24β€”
SP Strikeouts39.8% +5.1n=9856.8% +2.4n=146
SP Hits Allowed40.0% +7.8n=5061.8% +7.5n=123
Points68.4% +22.9n=158β€”
Rebounds59.4% +22.1n=128β€”
Assists62.0% +21.4n=129β€”
Deeper diagnostics

Consistency

Performance has been stable around 60%–63% across every window with a real sample.

Last 7
60.2%
59–39 n=98
-1.2 pts vs Last 30
Last 30
61.4%
1128–709 n=1,837
-1.5 pts vs Prev 30
Prev 30
62.9%
1590–936 n=2,526
β€”
Season
61.9%
3405–2099 n=5,504
β€”
All time
61.9%
3405–2099 n=5,504
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=981↑ +13vs prior 3β€”64%n=1150%n=478%n=944%n=933%n=18β€”20%n=5
SP Strikeouts48%n=268building sampleβ€”β€”β€”100%n=150%n=2100%n=3β€”β€”
SP Hits Allowed55%n=173building sampleβ€”β€”β€”β€”100%n=1100%n=1β€”β€”
Points68%n=158building sample86%n=786%n=7β€”β€”100%n=2β€”100%n=4100%n=1
Rebounds59%n=128building sample40%n=560%n=5β€”β€”100%n=1β€”33%n=3100%n=1
Assists62%n=129building 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%
2026-081696–105661.6% n=2,752+8.9 pts base 53%
2026-091533–93562.1% n=2,468+8.3 pts base 54%
2026-1070–4759.8% n=117+6.7 pts base 53%

Model version performance

2 of 7 current model versions are outperforming the versions they replaced; MLB Batter Hits, MLB SP Strikeouts, WNBA Points, WNBA Rebounds and WNBA Assists are behind. WNBA Rebounds 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%
MLB SP Strikeouts
sp-v42026-08-21β†’2026-10-05311–24855.6% n=559+8.8 pts base 47%-6.0 pts behind sp-v3
3 earlier versions2026-08-03β†’2026-08-20149–10458.9% n=253+10.5 pts base 48%
MLB SP Hits Allowed
sp-v42026-08-21β†’2026-10-04211–19751.7% n=408+4.0 pts base 48%+11.9 pts better than sp-v3
3 earlier versions2026-08-03β†’2026-08-20102–10349.8% n=205-3.7 pts base 53%
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%
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 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.