Monthly report

Prediction Accuracy: August 2026

Every Best Pick and Value Analysis of the month, graded against the final result. Hits and misses count alike; void matches are left out.

Final figures for August 2026

Hit rate in August 2026

Best Picks

The single highest-conviction selection per fixture, across all markets.

70.0%
Hit rate · 987 of 1,409 correct

+2.2 pts vs July 2026

Value Analysis

Selections where the model's probability diverges most from consensus market pricing.

57.1%
Hit rate · 1,177 of 2,060 correct

-5.3 pts vs July 2026

Compared to guessing

An accuracy figure means nothing on its own. The only useful question is what a naive rule would have scored on exactly the same matches.

50.3%
Model, match result
43.5%
Always pick the home team
+6.8
Difference

Measured across every graded fixture, not a selected subset. Home advantage is why the naive rule scores as well as it does; the gap above it is what the model contributes. n = 7,652.

Day by day in August 2026

Each line is a seven-day rolling average of settled selections, with a node marking the days behind it. Days with nothing settled break the line rather than being bridged across.

Best PicksValue Analysis
Day by day in August 2026
Day by day in August 2026
DateBest PicksValue Analysis
01.08.202673.4%61.6%
02.08.202674.1%62.8%
03.08.202672.2%61.8%
04.08.202671.2%61.1%
05.08.202669.9%59.8%
06.08.202669.4%60.5%
07.08.202668.2%61.8%
08.08.202666.6%59.4%
09.08.202662.6%58.5%
10.08.202663.2%58.6%
11.08.202663.4%58.5%
12.08.202663.7%59.3%
13.08.202664.7%58.2%
14.08.202665.8%56.3%
15.08.202663.5%55.5%
16.08.202669.4%54.1%
17.08.202670.2%54.5%
18.08.202670.9%55.0%
19.08.202671.9%54.0%
20.08.202670.8%55.2%
21.08.202669.5%55.5%
22.08.202671.2%57.9%
23.08.202672.3%57.8%
24.08.202670.4%58.7%
25.08.202671.6%57.0%
26.08.202672.2%57.2%
27.08.202672.3%56.6%
28.08.202674.4%56.4%
29.08.202675.9%53.2%
30.08.202673.8%53.5%
31.08.202674.7%51.6%

Accuracy by competition in August 2026

The competitions with the most graded Best Picks this month, each with at least 20.

CompetitionBest PicksValue Analysis
USAUSA: Major League Soccer64.0%32 of 50 correct60.9%39 of 64 correct
EnglandEngland: League Cup86.4%38 of 44 correct54.2%13 of 24 correct
ArgentinaArgentina: Primera Nacional76.3%29 of 38 correct65.6%21 of 32 correct
ArgentinaArgentina: Torneo Federal A58.8%20 of 34 correct70.0%21 of 30 correct
WorldWorld: UEFA Europa Conference League51.7%15 of 29 correct50.6%43 of 85 correct
ArgentinaArgentina: Liga Profesional Argentina71.4%20 of 28 correct62.7%42 of 67 correct
ChileChile: Primera División66.7%18 of 27 correct62.5%20 of 32 correct
AustraliaAustralia: New South Wales NPL76.0%19 of 25 correct65.0%13 of 20 correct
USAUSA: USL Championship69.6%16 of 23 correct83.3%5 of 6 correct
SwedenSweden: Allsvenskan59.1%13 of 22 correct46.7%14 of 30 correct

Are the probabilities honest?

This is the test that matters. We group every match-result forecast by the probability we published, then plot what actually happened. A calibrated model sits on the diagonal.

Perfect calibrationOur model95% interval
How often it actually happened
Are the probabilities honest?
Probability we published

What this chart coversMatch result across every graded fixture, not just selected picks - a selected subset could not test calibration honestly. Buckets holding too few fixtures to plot are merged into the end points, and point size scales with sample. Vertical bars are 95% intervals: a thin bucket is an uncertain reading, not a precise miss.

Brier score: 0.2007Mean squared error between published probability and outcome. Lower is better; 0.25 is what you would score by predicting 50% on everything.

Calibration by probability bin

Probability bandProbability we publishedHow often it actually happened95% intervalFixtures
0.05-0.2014.8%14.4%13.2% – 15.8%2815
0.20-0.2522.8%21.6%20.3% – 23.0%3549
0.25-0.3027.2%27.3%26.1% – 28.4%5663
0.30-0.3532.3%32.6%30.8% – 34.4%2539
0.35-0.4037.4%37.0%34.9% – 39.1%1997
0.40-0.4542.4%41.4%39.3% – 43.6%1970
0.45-0.5047.3%47.4%44.9% – 49.9%1507
0.50-0.5552.4%53.9%50.9% – 57.0%1018
0.55-0.6057.3%63.2%59.5% – 66.8%664
0.60-0.6562.3%67.5%63.1% – 71.6%462
0.65-0.7067.2%71.2%65.8% – 76.1%295
0.70-0.7572.3%66.0%58.9% – 72.4%188
0.75-0.8077.2%74.0%65.6% – 80.9%123
0.80-0.9585.4%81.3%74.7% – 86.5%166

Interval is the 95% range the observed figure could take at that sample size. Narrower means more matches in the bin.

Which markets the picks came from

A hit rate across a mixed basket is not the same claim as a hit rate on match result alone. These are the six most-used markets in each basket, with the remainder grouped, so you can judge both headline figures for yourself.

Best Picks

  • Home Win or Draw47.5% of picksn = 669
  • Home Win14.3% of picksn = 202
  • Draw or Away Win13.7% of picksn = 193
  • Over 1.5 Goals12.4% of picksn = 175
  • Away Win4.2% of picksn = 59
  • Both Teams to Score4.2% of picksn = 59
  • Other markets (3)3.6% of picksn = 52

Value Analysis

  • Under 3.5 Goals19.5% of picksn = 401
  • Under 2.5 Goals17.0% of picksn = 351
  • Over 2.5 Goals9.1% of picksn = 188
  • Over 1.5 Goals8.1% of picksn = 167
  • Home Win or Draw6.6% of picksn = 136
  • Home Win6.1% of picksn = 125
  • Other markets (29)33.5% of picksn = 692

13 void matches were excluded from these figures.

August 2026 accuracy report: the figures

In August 2026, 987 of 1409 Best Picks were correct: a hit rate of 70.0%. Value Analysis was right in 1177 of 2060 matches (57.1%). That is 2.2 points more than in July 2026.

On match result, the model was right in 50.3% of 7652 matches, against 43.5% for always picking the home team. Among competitions with at least 20 graded Best Picks, League Cup had the highest hit rate: 86.4% of 44.

Each Best Pick and Value Analysis is graded on the 90-minute result; nothing is removed once the outcome is known, and void matches are excluded. The all-time record and the method are on the Accuracy page.