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Proprietary scoring

VEXTIQ AI EDGE

A 1–100 score for each team in each matchup, built from six stat-driven categories with a transparent weighted formula. Higher = stronger statistical profile for this matchup.

ⓘ The Edge Score comes from Vextiq's analytical model and does not guarantee a future result.

72EDGE
Houston
Moderate signal
51EDGE
Dallas
Neutral / no signal
CategoryWeightHoustonDallas
Offense22%
74
55
Defense22%
81
48
Recent Form16%
77
55
Injuries12%
68
83
Home/Away10%
71
49
Matchup18%
76
24
VEXTIQ AI EDGEshrink 0.877251

ⓘ The Edge Score comes from Vextiq's analytical model and does not guarantee a future result.

Current slate

EDGE board

Sample data

ⓘ The Edge Score comes from Vextiq's analytical model and does not guarantee a future result.

How the score is calculated

  • Offense = 50 + (points scored/game − league avg) × sport scale
  • Defense = 50 + (league avg − points allowed/game) × sport scale
  • Recent Form = 40 + 8 × wins in last 5 + 0.5 × avg margin (last 5)
  • Injuries = 100 − impact (OUT 12, DOUBTFUL 8, QUESTIONABLE 4, PROBABLE 1)
  • Home/Away = 50 + (venue win % − 0.5) × 60 ± sport home adjustment
  • Matchup = 50 + ½ × [(Offense − opp. Defense) + (Defense − opp. Offense)]

Weights:

Offense22%
Defense22%
Recent Form16%
Injuries12%
Home/Away Advantage10%
Matchup Advantage18%

EDGE = 50 + (weighted average − 50) × 0.87. The shrink factor pulls every score toward a neutral 50 to reflect uncertainty. Every category is clamped to 1–100. Source: lib/model/edge.ts.

ⓘ The Edge Score comes from Vextiq's analytical model and does not guarantee a future result.