KicktippAi experiment analysis

gpt-5.4-nano (none) vs gpt-5.5 (none)

match-predictions/bundesliga-2025-26/pes-squad/repeated-match-slices/all-matchdays-after-20251202t230000z/random-15x10-seed-20260517-after-20251203

Task: repeated-match-slice Primary metric: avg_kicktipp_points Runs: 2 Pairings: 10

At a glance

significant · p-value 0.0234
Compact head to head

Significant

p-value 0.0234
gpt-5.4-nano (none)
18.9000 avg points
gpt-5.5 (none)
16.2000 avg points

Prediction distribution

gpt-5.4-nano (none) n=150
2:1 53
1:1 37
1:2 29
1:3 12
0:2 7
2:0 5
1:0 3
1:4 2
3:1 2
gpt-5.5 (none) n=150
1:1 57
2:1 56
1:2 18
1:3 13
2:0 4
1:4 2

Matches

15 fixtures

Per-match averages and scoreline distributions are descriptive. Individual matches do not run significance tests.

Match 1

1. FC Heidenheim 18460:4FC Bayern München

Matchday 152025-12-21T17:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
2.0000 avg points
1:3 2pt 8
1:4 2pt 2
gpt-5.5 (none) n=10
2.0000 avg points
1:3 2pt 8
1:4 2pt 2
Match 2

Borussia Dortmund2:01899 Hoffenheim

Matchday 132025-12-07T17:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
2.1000 avg points
2:1 2pt 9
3:1 3pt 1
gpt-5.5 (none) n=10
2.0000 avg points
2:1 2pt 10
Match 3

VfL Wolfsburg3:11. FC Union Berlin

Matchday 132025-12-06T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
0.0000 avg points
1:1 0pt 10
gpt-5.5 (none) n=10
0.0000 avg points
1:1 0pt 10
Match 4

FC Augsburg2:0Bayer 04 Leverkusen

Matchday 132025-12-06T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
0.0000 avg points
0:2 0pt 5
1:3 0pt 3
1:2 0pt 2
gpt-5.5 (none) n=10
0.0000 avg points
1:2 0pt 5
1:3 0pt 5
Match 5

FC St. Pauli1:1RB Leipzig

Matchday 162026-01-27T20:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
0.0000 avg points
1:2 0pt 7
0:2 0pt 2
1:3 0pt 1
gpt-5.5 (none) n=10
0.0000 avg points
1:2 0pt 10
Match 6

1. FC Heidenheim 18462:21. FC Köln

Matchday 162026-01-10T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
2.0000 avg points
1:1 2pt 10
gpt-5.5 (none) n=10
2.0000 avg points
1:1 2pt 10
Match 7

VfB Stuttgart1:0SC Freiburg

Matchday 202026-02-01T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
3.0000 avg points
2:1 3pt 10
gpt-5.5 (none) n=10
3.0000 avg points
2:1 3pt 10
Match 8

RB Leipzig1:2FSV Mainz 05

Matchday 202026-01-31T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
0.0000 avg points
2:0 0pt 5
2:1 0pt 4
3:1 0pt 1
gpt-5.5 (none) n=10
0.0000 avg points
2:1 0pt 10
Match 9

SC Freiburg3:3Bayer 04 Leverkusen

Matchday 252026-03-07T15:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
0.0000 avg points
1:2 0pt 10
gpt-5.5 (none) n=10
2.0000 avg points
1:1 2pt 10
Match 10

Hamburger SV1:2RB Leipzig

Matchday 242026-03-01T19:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
4.0000 avg points
1:2 4pt 10
gpt-5.5 (none) n=10
1.2000 avg points
1:1 0pt 7
1:2 4pt 3
Match 11

VfB Stuttgart4:0Hamburger SV

Matchday 292026-04-12T18:30:00 UTC+02 (+02)
gpt-5.4-nano (none) n=10
2.0000 avg points
2:1 2pt 10
gpt-5.5 (none) n=10
2.0000 avg points
2:1 2pt 10
Match 12

Bayer 04 Leverkusen6:3VfL Wolfsburg

Matchday 282026-04-04T16:30:00 UTC+02 (+02)
gpt-5.4-nano (none) n=10
2.0000 avg points
2:1 2pt 10
gpt-5.5 (none) n=10
2.0000 avg points
2:1 2pt 7
2:0 2pt 3
Match 13

Bor. Mönchengladbach2:21. FC Heidenheim 1846

Matchday 282026-04-04T16:30:00 UTC+02 (+02)
gpt-5.4-nano (none) n=10
0.6000 avg points
2:1 0pt 7
1:1 2pt 3
gpt-5.5 (none) n=10
0.0000 avg points
2:1 0pt 9
2:0 0pt 1
Match 14

Bor. Mönchengladbach2:0FC St. Pauli

Matchday 262026-03-13T20:30:00 UTC+01 (+01)
gpt-5.4-nano (none) n=10
1.2000 avg points
1:1 0pt 4
1:0 2pt 3
2:1 2pt 3
gpt-5.5 (none) n=10
0.0000 avg points
1:1 0pt 10
Match 15

FC St. Pauli1:2FSV Mainz 05

Matchday 322026-05-03T16:30:00 UTC+02 (+02)
gpt-5.4-nano (none) n=10
0.0000 avg points
1:1 0pt 10
gpt-5.5 (none) n=10
0.0000 avg points
1:1 0pt 10

Summary

Datasetmatch-predictions/bundesliga-2025-26/pes-squad/repeated-match-slices/all-matchdays-after-20251202t230000z/random-15x10-seed-20260517-after-20251203
Task typerepeated-match-slice
Primary metricavg_kicktipp_points
Alpha0.0500

Paired Wilcoxon signed-rank test on per-item Kicktipp-point differences; bootstrap confidence intervals summarize mean and median paired differences.

Dataset metadata

repeated-match-slice dataset for 150 item(s) on random-15x10-seed-20260517-after-20251203

Field Value
Competitionbundesliga-2025-26
Communitypes-squad
Season2025/2026
Slicerandom-15x10-seed-20260517-after-20251203
Source Poolall-matchdays-after-20251202t230000z
Matches15
Repetitions10
Predictions150
Sample Size150
Sample Methodrepeated-match-slice
Sample Seed20260517
Scoperepeated-match-slice
Slice Kindrepeated-match-slice
Source Datasetmatch-predictions/bundesliga-2025-26/pes-squad
Starts After2025-12-03T00:00:00 Europe/Berlin (+01)

Run ranking

Rank Run Model Primary metric
1gpt-5.4-nano (none)gpt-5.4-nano (none)18.9000
2gpt-5.5 (none)gpt-5.5 (none)16.2000

Two-run comparison

significant
Better rungpt-5.4-nano (none)
Other rungpt-5.5 (none)
avg_kicktipp_points delta2.7000
Wilcoxon p-value0.0234
Mean difference2.7000
Median difference3.5000
Per-item W/T/L8/0/2

Effect size confidence intervals

Statistic Point estimate Low High
Mean difference2.70001.10004.5000
Median difference3.50002.00007.0000

Per-item win/tie/loss counts compare paired Kicktipp points for the listed run ordering on each prepared dataset item.