Racing Structural Physics

Neoamorfic™ Racing Intelligence

Structural race intelligence, derived from physics.

Neoamorfic™ applies QEIv18™ to the 2026 Formula 1 season to extract structural race intelligence and build performance and decision systems. By comparing selected and analysed race data across the season, the framework identifies the underlying performance architecture of the grid: which drivers control the field, which remain stable under pressure, and where visible race outcome diverges from structural race reality.

Built on QEIv18™ by NeoAmorfic™. This site is part of the NeoAmorfic™ intelligence ecosystem and links structural race intelligence back to the core physics-native system.

Open 2026 QEIv18™ Championship Open 2026 Race Intelligence Open QEIv18™ Core

2026 QEIv18™ Championship

Season-wide ranking of driver performance architecture, derived from field control, stability, peak capability, and competitive conversion.

What it is

The QEIv18™ Championship is a live structural ranking of the 2026 season. It measures who is actually performing strongest within the race field, independent of points accumulation alone.

What it reveals

It identifies hidden performance, structural consistency, and the difference between visible finishing outcome and underlying competitive reality.

Why it matters

Teams, engineers, and decision-makers need more than result tables. They need to know who controlled the field, who converted pressure effectively, and whose performance was masked by race conditions.

Research direction: NeoAmorfic™ has committed to analysing the 2026 season through a structural-field lens. The aim is to determine the real performance order of the grid by comparing selected and analysed race data across the season, rather than relying on finishing outcome alone.

QEIv18™ Championship 2026 — Top 10

Live season ranking by underlying performance architecture across completed 2026 rounds.

Open full championship

Rank	Driver	Team	QEIv18™ score
1	ANT	Mercedes	80.20
2	RUS	Mercedes	79.33
3	HAM	Ferrari	76.33
4	NOR	McLaren	72.58
5	LEC	Ferrari	70.92
6	PIA	McLaren	68.90
7	GAS	Alpine	63.46
8	VER	Red Bull Racing	63.25
9	HAD	Red Bull Racing	62.13
10	BEA	Haas F1 Team	61.79

Showing top 10 drivers. Full table available in the championship section.

Race and sector intelligence

QEIv18™ operates across season, race, and sector levels to expose underlying competitive structure.

Championship intelligence

Season-level structural ordering across completed rounds, designed to reveal real competitive hierarchy.

Race intelligence

Event-level reading of pressure, conversion, control, and field behaviour during individual races.

Sector intelligence

Segment-level structural advantage maps showing where competitors are strongest or most vulnerable.

Open Championship Open Sector Intelligence

Part of the NeoAmorfic™ ecosystem

Neoamorfic Racing is one application of the same QEIv18™ system that also powers AI governance, EEG analysis, and financial intelligence.

Built on QEIv18™ by NeoAmorfic™

This racing platform is not a separate company or disconnected product. It is a domain application of the same core intelligence system explained at NeoAmorfic™.

Connected intelligence architecture

The same QEIv18™ foundation extends across structural race intelligence, AI governance and control, EEG and neuro analysis, and financial intelligence.

NeoAmorfic™QEIv18™ Core X40

Latest GP Intelligence

Canada 2026 Race Highlights

Canada reveals the difference between raw structural control and clean event conversion. Antonelli carries the strongest field-control signature, while Hamilton and Verstappen convert the event score more cleanly and Hadjar confirms Red Bull depth.

Canada structural archetypes

QEIv18™ separates different ways of being strong: raw control, event conversion, volatility, peak aggression, endurance, and championship sustainability.

Layer	Canada signal	Number
Structural Control	Antonelli strongest raw control layer	0.657 · avg ordering 2.92
Event Conversion	Hamilton and Verstappen nearly tied	HAM 88.70 · VER 88.67
Emerging Threat	Hadjar closes on Antonelli at event-score level	HAD P3 · ANT P4

Open Canada analysis Open Championship

Canada Race-State Hierarchy

Canada 2026 · QEIv18™ event score · higher = stronger

Open PDF

Canada is valuable because it exposes a diagnostic split: Antonelli has the strongest raw control signal, while Hamilton and Verstappen convert the event score more cleanly.

Latest GP Intelligence

Miami 2026 Race Highlights

Miami separates structural race-state dominance from outcome conversion. Norris and McLaren led the full-race QEIv18™ field layer, while Antonelli converted the visible result through execution, position, and the strongest S2 control phase.

Norris vs Antonelli — structure vs conversion

Norris carried the marginally stronger full-race structural profile. Antonelli remained close enough in the upper race-state band to convert the outcome.

Measure	Norris	Antonelli
QEIv18™ race score	79.63	75.10
Mean field advantage	0.871	0.843
Mean competitive ordering	3.26	3.53
Laps ahead by field advantage	29	28
Pit sequence	Lap 27 · 22.565s lane	Lap 26 · 22.128s lane

QEIv18™ separates who carried the stronger race-state structure from who converted the visible result.

Open Miami analysis Open Championship

Competitive Field Advantage Progression

Miami 2026 · field advantage by lap · higher = stronger

Open PDF

Miami 2026 competitive field advantage progression

This progression view shows where race-state advantage forms across the event. Miami is valuable because it shows McLaren’s full-race structural strength while also revealing how Antonelli converted the winning outcome.