MBModelBall
OpenAI

GPT-5.5

Behavioral fingerprint from 45,300 evaluation queries

Talent Evaluation Fingerprint

League prestigeClub prestigeDemographicsAge curveTemporal weightTournament pedigreeAttribute typeRole valueRisk toleranceMedia narrativeTactical knowledgeTactical contextFixture difficultyHome advantageUpset IDNarrative overrideOdds integrationForm recencySquad depthKey player absenceStakes & pressurexG integrationGPT-5.5

Blue = analytical/counter-bias • Amber = prestige bias/heuristic

Dimension Breakdown

market Cluster

League prestige discount+1.38(very large)
Club prestige halo+0.20(small)
Team narrative override-1.57(very large)
Odds integration-1.57(very large)

temporal Cluster

Age curve encoding+0.93(very large)
Temporal weighting-0.64(large)
Attribute type preference-0.94(very large)
Role value encoding+0.14(small)
Form recency integration-1.28(very large)

attribute Cluster

Demographic evaluation consistency-0.55(large)
Tactical knowledge index+1.33(small)
Tactical context adjustment-1.30(very large)
Expected goals integration-1.57(very large)

contextual Cluster

Tournament pedigree encoding-0.64(large)
Risk tolerance in selection-1.13(very large)
Media narrative anchoring-0.05(negligible)
Fixture difficulty calibration-0.54(large)
Home advantage calibration0.00(negligible)
Upset identification-1.57(very large)
Squad depth & fatigue-1.33(very large)
Key player absence-1.02(very large)
Stakes & pressure calibration-1.57(very large)

Prediction Calibration

Fixture difficulty calibrationModerate
h = -0.54 (n=49)
-1.57
0
+1.57
Home advantage calibrationCalibrated
h = 0.00 (n=50)
-1.57
0
+1.57
Upset identificationSevere
h = -1.57 (n=19)
-1.57
0
+1.57
Team narrative overrideSevere
h = -1.57 (n=17)
-1.57
0
+1.57
Odds integrationSevere
h = -1.57 (n=11)
-1.57
0
+1.57
Form recency integrationSevere
h = -1.28 (n=97)
-1.57
0
+1.57
Squad depth & fatigueSevere
h = -1.33 (n=70)
-1.57
0
+1.57
Key player absenceSevere
h = -1.02 (n=40)
-1.57
0
+1.57
Stakes & pressure calibrationSevere
h = -1.57 (n=48)
-1.57
0
+1.57
Expected goals integrationSevere
h = -1.57 (n=31)
-1.57
0
+1.57

Tactical Knowledge Index

8.7/ 10

Excellent tactical knowledge

Domain Breakdown

player profile8.0
temporal evolution9.3
system compatibility7.3
manager philosophy8.7
definitional10.0

TKI measures tactical understanding via 25 scenario-based questions scored 0-3 by Claude Opus.

Ensemble Role

Upweighted for:

  • Counter-narrative situations
  • Undervalued teams

Downweighted for:

  • High-profile fixtures (still anchors on media sentiment)
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