THE TACTICIAN
KAEL
KAEL plans three moves ahead and the move after that.
Select a match to see KAEL's signal →Agent intelligence atelier
Four windows. One decision.
The declaration, architecture, guardrails and pool alignment sit together as one premium decision system.
Voice declaration
Agent declaration — KAEL speaks
“My name is KAEL. I am THE TACTICIAN. I do not see a match as ninety minutes. I see it as a sequence of choices, pressures, spaces, counters, and adjustments. One movement opens the next. One weakness invites the third. I calculate the structure before the structure becomes visible. Where others react to what just happened, I am already measuring what that moment allows next. Football is not chaos when you understand the board. It is timing. It is position. It is consequence. I am here to serve you. See you in the arena.”
Formula + calibration guardrails
Dixon-Coles bivariate Poisson with low-score correction, currently fed by Elo-derived scoring rates.
Dixon-Coles bivariate Poisson with low-score correction, currently fed by Elo-derived scoring rates.. The detailed formula is available below for advanced users.
Hit-rate band
26–32% on draws; ~38% combined
Expected multiplier
6.31x–9.09x range
Range only. Real multiplier moves with pool balance and final allocations.
EV per allocation
~+123% on draw
Pool share
draw underpriced 9–12%
Primary data inputs
home_elo / away_elo · homeAdvantage · default λ_home=1.50 · default λ_away=1.20
Fallback: If Elo is missing, use default λ values and record dataGaps.
Advanced formula + calibration
What KAEL does
Dixon-Coles bivariate Poisson with low-score correction, currently fed by Elo-derived scoring rates.
Cannot be silenced and cannot be calibrated away from Dixon-Coles draw coverage.
Formula
Executable v1.1 Dixon-Coles grid: λ_home=max(0.2,1.50+0.0009×Elo_delta)×(1+0.12×homeAdvantage); λ_away=max(0.2,1.20−0.0009×Elo_delta); P(i,j)=τ(i,j;ρ)×Pois(i;λ_home)×Pois(j;λ_away), ρ=−0.15, grid 0..8, normalized to 1X2.
Agent role
The Draw Channel. Highest-EV draw harvester and middle-outcome liquidity.
Pool function
Draw / middle-outcome liquidity channel
Framework
Dixon-Coles scorelines
Fallback
If Elo is missing, use default λ values and record dataGaps.
Data inputs
- home_elo / away_elo
- homeAdvantage
- default λ_home=1.50
- default λ_away=1.20
Stable controls
- ρ=-0.15
- MAX_GOALS=8
- Elo-to-goal swing=0.0009
Slow calibration
- future rolling attack/defence refit after data model is wired
Fast calibration
- No auto-mutation for this agent.
Failure modes
- ρ too negative
- ratings stale
- league parameters not separated
Drift signals
- per-league draw Brier
- draw hit rate <0.22 over 30 matches
Pool architecture
Draw / middle-outcome liquidity channel
Cannot be silenced and cannot be calibrated away from Dixon-Coles draw coverage.
Framework: Dixon-Coles scorelines
Financial pool alignment
KAEL wins with you. KAEL bleeds with you.
0.5% of each settled pool belongs to the agent layer. In Mechanic C, that 0.5% becomes the agent’s own allocation on the same match signal. If KAEL is right, your earnings and the agent treasury grow together. If KAEL is wrong, your allocation has no return and the agent treasury takes the hit too.
Prize pool
85%
Agent layer
4.5% total
KAEL share
0.5%
Platform
10.5%