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Historical Analytics·Competition Dataset Overview

COMPETITION STATISTICS

An overview of the teams, participants, institutions, and leaderboard recorded throughout the competition.

College Leaderboard
Descriptive historical statistics compiled from 34 timeline snapshots captured during the Amazon ML Challenge 2026.
Teams
10,942

Recorded participating teams

Participants
35,946

Unique student competitors

Organizations
2,663

Universities & colleges

Snapshots
34

Recorded leaderboard checkpoints

Participation Over Time (34 Snapshots)

Tracking growth in teams, participants, and institutions across competition snapshots.

Sun, Sep 27, 2026·12:04 AM ISTS34
Active Teams:10,135
11,1498,3615,5742,787012:10 PMSep 2612:00 PMSep 2704:56 PMSep 2707:28 PMSep 2710:13 PMSep 2710:41 PMSep 2711:05 PMSep 2711:28 PMSep 2712:03 AMSep 2812:04 AMSep 28Amazon ML Challenge Exploreramazonmlchallengeexplorer.vercel.app
Hover over any point to inspect day, date, and time. Lower or near-zero counts indicate initial synchronization checkpoints.
Amazon ML Challenge Exploreramazonmlchallengeexplorer.vercel.app

F1 Score Distribution

Distribution of team F1 scores across defined score tiers for any historical snapshot.

Snapshot:
Average F1
0.655400
Median F1
0.735511
Highest Score
0.992082
Lowest Score
0.000000
0.00–0.20
1,292 teams (13.43%)
0.20–0.40
846 teams (8.79%)
0.40–0.60
1,514 teams (15.73%)
0.60–0.80
1,708 teams (17.75%)
0.80–0.90
824 teams (8.56%)
0.90–0.95
754 teams (7.84%)
0.95–0.98
1,502 teams (15.61%)
0.98–1.00
1,182 teams (12.28%)

Snapshot Comparison

Compare leaderboard metrics, distribution shifts, and team populations between any two checkpoints.

MetricSnapshot S1Snapshot S34Absolute Difference
Teams Count3,39810,135+6,737
Participants11,39433,416+22,022
Organizations1,3902,550+1,160
Average F1 Score0.6627570.655400-0.007357
Median F1 Score0.7666260.735511-0.031115
Highest Score0.9905560.992082+0.001526
Lowest Score0.0000000.0000000.000000

Metric Definitions & Methodology

Final Performance:

Highest F1 score achieved by any team belonging to an institution in the final recorded snapshot.

Participation:

Total count of teams and participants affiliated with an institution in the final recorded state.

Top 100 Representation:

Count of an institution's teams appearing in the final Top 100 leaderboard ranks.

Average F1 Growth:

Final average team F1 score minus initial usable average F1 score across snapshots.

Average F1:

Arithmetic mean of available team F1 scores present in a specific snapshot.

Descriptive Data:

All calculations represent historical observations without fabricated inferences.