KicktippAi experiment analysis

gpt-5.5 (xhigh) vs gpt-5.5 (none)

match-predictions/bundesliga-2025-26/pes-squad/repeated-match/md26-vfb-stuttgart-vs-rb-leipzig/repeat-25

Task: repeated-match Primary metric: avg_kicktipp_points Runs: 2 Pairings: 25

At a glance

not significant · p-value 0.1573

Match to predict

Matchday 262026-03-15T19:30:00 UTC+01 (+01)

Actual outcome VfB Stuttgart 1 - 0 RB Leipzig

Compact head to head

p-value 0.1573

gpt-5.5 (xhigh)

3.0000 avg points

gpt-5.5 (none)

2.7600 avg points

gpt-5.5 (xhigh) n=25

2:1 25

gpt-5.5 (none) n=25

2:1 23

2:2 2

Datasetmatch-predictions/bundesliga-2025-26/pes-squad/repeated-match/md26-vfb-stuttgart-vs-rb-leipzig/repeat-25

Task typerepeated-match

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.

Stuttgart's 1-0 Matchday 26 win over Leipzig was a close top-four clash where Stuttgart leapfrogged Leipzig.

Field	Value
Fixture	VfB Stuttgart vs RB Leipzig
Actual Result	VfB Stuttgart 1 - 0 RB Leipzig
Matchday	26
Repetitions	25
Why Interesting	Stuttgart's 1-0 Matchday 26 win over Leipzig was a close top-four clash where Stuttgart leapfrogged Leipzig.
Competition	bundesliga-2025-26
Community	pes-squad
Season	2025/2026
Slice	repeat-25
Source Pool	md26-vfb-stuttgart-vs-rb-leipzig
Sample Size	25
Sample Method	repeated-match
Scope	repeated-match
Slice Kind	repeated-match
Source Dataset	match-predictions/bundesliga-2025-26/pes-squad

Rank	Run	Model	Primary metric
1	gpt-5.5 (xhigh)	gpt-5.5 (xhigh)	3.0000
2	gpt-5.5 (none)	gpt-5.5 (none)	2.7600

not significant

Better rungpt-5.5 (xhigh)

Other rungpt-5.5 (none)

avg_kicktipp_points delta0.2400

Wilcoxon p-value0.1573

Mean difference0.2400

Median difference0.0000

Per-item W/T/L2/23/0

Statistic	Point estimate	Low	High
Mean difference	0.2400	-0.1200	0.4800
Median difference	0.0000	0.0000	0.0000

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