Are the signals earning trust?

Performance

Daily results β†’
Cohort
Period
Market
All
⚾ Batter
Direction
Filtered to DirectionOver
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 62.3%, +11.1 pts over baseline β€” down 0.6 points on the previous 90 days, which ran +2.3 pts.

Performance summary

Hit rate
62.3%
2995–1813 record
vs baseline
+11.1 pts
vs 51% base
Graded
4,808
65 slates
Last 90 days Β· All qualifying Β· previous 90 days: 62.9% (+2.3 pts over base) -0.6 pts Β· 370 void Β· 17 pending Β· avg score 82

The model is showing meaningful predictive signal over this period β€” +11.1 pts over baseline on 4,808 graded predictions, with the strongest separation in Assists and Rebounds.

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 Judged on the engine running today: a superseded scorer’s serving share is not a fact about the current one.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 +22.7 pts above 70–74 over base, with 2 of 6 steps going the wrong way.

Predictions scored 90+ outperform everything below them by 18.5 pts over base (n=1,113).

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

Current scoring engine only β€” 1,520 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
75–7964.3%n=700
80–8464.3%n=311
85–8950.9%n=108
90–9453.3%n=212
95–9855.9%n=68
99–10059.9%n=833
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%
75–79450–25064.3%n=70044+5.7 pts base 59%
80–84200–11164.3%n=31131+7.1 pts base 57%
85–8955–5350.9%n=1082+3.5 pts base 47%
90–94113–9953.3%n=2129+12.5 pts base 41%
95–9838–3055.9%n=685+11.2 pts base 45%
99–100499–33459.9%n=83340+28.3 pts base 32%

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+29.6 pts base 35%64.3%n=345222–123no prior period
Rebounds+28.2 pts base 35%63.5%n=367233–134no prior period
Points+23.5 pts base 42%65.5%n=466305–161no prior period
Batter Ks+21.3 pts base 22%43.1%n=5122–29no prior period
SP Strikeouts+15.7 pts base 34%49.7%n=392195–197no prior period
SP Hits Allowed+7.2 pts base 35%42.1%n=20285–117no prior period
Batter Hits+4.2 pts base 61%64.8%n=2,9851933–1052β†’ +1.9 from 63%

Over vs Under

Only Over predictions were served in this selection (+11.0 pts over base, n=4,808), so the two sides cannot be compared.

Over2995–181362.3%+11.0 pts vs basen=4,808
Under0–0Not gradedn=0
MarketOverrate Β· pts vs baseUnderrate Β· pts vs base
Batter Hits64.8% +4.2n=2,985β€”
Batter Ks43.1% +21.3n=51β€”
SP Strikeouts49.7% +15.7n=392β€”
SP Hits Allowed42.1% +7.2n=202β€”
Points65.5% +24.0n=466β€”
Rebounds63.5% +28.9n=367β€”
Assists64.3% +29.7n=345β€”
Deeper diagnostics

Consistency

Performance spans 57%–64% across these windows, with Last 7 5.5 points weaker than all time.

Last 7
56.8%
75–57 n=132
-4.4 pts vs Last 30
Last 30
61.2%
1074–681 n=1,755
-2.9 pts vs Prev 30
Prev 30
64.1%
1444–810 n=2,254
β€”
Season
62.3%
3105–1878 n=4,983
β€”
All time
62.3%
3105–1878 n=4,983
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=2985↑ +14vs prior 3β€”64%n=1160%n=578%n=944%n=937%n=19β€”20%n=5
SP Strikeouts49%n=443building sampleβ€”β€”75%n=425%n=450%n=2100%n=5β€”β€”
SP Hits Allowed42%n=202building sampleβ€”β€”β€”β€”β€”0%n=1β€”β€”
Points65%n=466building sample78%n=978%n=9β€”β€”67%n=6β€”80%n=540%n=5
Rebounds63%n=367building sample62%n=838%n=8β€”β€”50%n=4β€”57%n=767%n=3
Assists64%n=345building sample43%n=771%n=7β€”β€”20%n=5β€”33%n=675%n=4
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
2026-07124–6964.2% n=193+4.6 pts base 60%
2026-081494–89062.7% n=2,384+11.2 pts base 51%
2026-091394–84562.3% n=2,239+10.6 pts base 52%
2026-1093–7455.7% n=167+11.2 pts base 45%

Model version performance

3 of 7 current model versions are outperforming the versions they replaced; MLB Batter Hits, WNBA Points, MLB SP Strikeouts and WNBA Rebounds 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†’2026-10-071345–71065.5% n=2,055+4.9 pts base 61%-2.9 pts behind batter-hit-v5
4 earlier versions2026-07-05β†’2026-08-20698–40763.2% n=1,105+2.6 pts base 61%
WNBA Points
wnba-pra-v42026-08-21β†’2026-10-09204–11563.9% n=319+22.8 pts base 41%-10.2 pts behind wnba-pra-v3
4 earlier versions2026-07-15β†’2026-08-21101–4668.7% n=147+24.9 pts base 44%
MLB SP Strikeouts
sp-v42026-08-21β†’2026-10-06153–15949.0% n=312+14.0 pts base 35%-12.0 pts behind sp-v3
3 earlier versions2026-08-03β†’2026-08-2042–3852.5% n=80+22.3 pts base 30%
WNBA Rebounds
wnba-pra-v42026-08-21β†’2026-10-09177–10662.5% n=283+27.3 pts base 35%-19.9 pts behind wnba-pra-v3Small sample
4 earlier versions2026-07-15β†’2026-08-2056–2866.7% n=84+31.3 pts base 35%
WNBA Assists
wnba-pra-v42026-08-21β†’2026-10-09161–9363.4% n=254+29.0 pts base 34%+1.0 pts better than wnba-pra-v3
4 earlier versions2026-07-15β†’2026-08-2061–3067.0% n=91+31.4 pts base 36%
MLB SP Hits Allowed
sp-v42026-08-21β†’2026-10-0375–9344.6% n=168+9.6 pts base 35%+13.5 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†’2026-10-0620–2643.5% n=46+21.6 pts base 22%+3.5 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.