Form Rating
90
G. Russell
Mercedes
KRS · Kitty Rating System
KRS — Kitty Rating System
KRS is KittySports' proprietary ratings and projection framework used to generate driver strength, supporting performance signals, confidence scoring, and future event probability outputs.
Overview
Driver Strength
Composite baseline rating across pace, consistency, and contextual weighting. Higher values indicate a stronger overall driver profile relative to the field.
Why it matters: driver strength is the foundational input for all downstream projection and market comparison outputs.
| Driver | Team | Strength | Form | Qualifying | Constructor | Consistency | Confidence |
|---|---|---|---|---|---|---|---|
| G. Russell | Mercedes | 92.5 | 90 | 95 | 89 | 82 | 0.80 |
| L. Norris | McLaren | 91.8 | 89 | 89 | 90 | 88 | 0.80 |
| M. Verstappen | Red Bull Racing | 91.3 | 88 | 90 | 85 | 89 | 0.78 |
| L. Hamilton | Ferrari | 90.9 | 90 | 88 | 85 | 87 | 0.78 |
| O. Piastri | McLaren | 90.7 | 88 | 88 | 90 | 86 | 0.78 |
| K. Antonelli | Mercedes | 89.6 | 89 | 90 | 89 | 77 | 0.75 |
| C. Leclerc | Ferrari | 87 | 83 | 88 | 85 | 80 | 0.72 |
| I. Hadjar | Red Bull Racing | 83.4 | 80 | 79 | 85 | 81 | 0.68 |
| C. Sainz | Williams | 80.5 | 77 | 78 | 75 | 80 | 0.62 |
| F. Alonso | Aston Martin | 80.3 | 75 | 79 | 73 | 82 | 0.62 |
Sample proprietary analytical output — not official or endorsed ratings.
Signal
Form Rating
Rolling performance across recent races with exponential decay weighting toward the most recent events. A driver on a strong streak scores higher than their baseline driver strength suggests.
Why it matters: form is the highest-weighted input signal, capturing momentum that raw driver strength cannot — particularly mid-season variation.
Form Rating
89
L. Norris
McLaren
Form Rating
88
M. Verstappen
Red Bull Racing
Form Rating
90
L. Hamilton
Ferrari
Form Rating
88
O. Piastri
McLaren
Form Rating
89
K. Antonelli
Mercedes
Signal
Qualifying Rating
Grid position contribution modeled against historical conversion rates from qualifying to race outcomes. Captures a driver's one-lap pace ability independently of race execution.
Why it matters: qualifying position is a strong leading indicator for race finish — particularly at circuits where overtaking is difficult.
| Driver | Team | Qualifying Rating | vs Strength |
|---|---|---|---|
| G. Russell | Mercedes | 95 | +2.5 |
| L. Norris | McLaren | 89 | -2.799999999999997 |
| M. Verstappen | Red Bull Racing | 90 | -1.2999999999999972 |
| L. Hamilton | Ferrari | 88 | -2.9000000000000057 |
| O. Piastri | McLaren | 88 | -2.700000000000003 |
| K. Antonelli | Mercedes | 90 | +0.4000000000000057 |
| C. Leclerc | Ferrari | 88 | +1 |
| I. Hadjar | Red Bull Racing | 79 | -4.400000000000006 |
| C. Sainz | Williams | 78 | -2.5 |
| F. Alonso | Aston Martin | 79 | -1.2999999999999972 |
Sample proprietary analytical output — not official or endorsed ratings.
Signal
Constructor Support
Team-level performance score accounting for car pace, mechanical reliability, and pit execution quality. Drivers inherit a portion of their expected performance from their constructor environment.
Why it matters: a driver in a strong constructor benefits from better equipment, faster strategy execution, and higher baseline pace — all of which lift projection ceilings independently of individual talent.
Constructor
92
McLaren
Pace93
Reliability90
Pit Execution92
Constructor
90
Red Bull Racing
Pace91
Reliability88
Pit Execution91
Constructor
87
Ferrari
Pace89
Reliability84
Pit Execution86
Constructor
83
Mercedes
Pace84
Reliability82
Pit Execution83
Signal
Consistency Rating
Driver result variance across comparable conditions. High consistency means the driver reliably finishes near their expected position. Low consistency signals unpredictable outcome profiles — risk in both directions.
Why it matters: consistency is a critical input for confidence scoring — a highly consistent driver at a familiar circuit produces tighter projection bands and higher model confidence.
G. Russell
Mercedes
82
L. Norris
McLaren
88
M. Verstappen
Red Bull Racing
89
L. Hamilton
Ferrari
87
O. Piastri
McLaren
86
K. Antonelli
Mercedes
77
C. Leclerc
Ferrari
80
I. Hadjar
Red Bull Racing
81
C. Sainz
Williams
80
F. Alonso
Aston Martin
82
Output
Confidence Score
Composite model certainty output based on data availability, historical fit, input signal recency, and calibration accuracy across comparable events. Expressed as a value between 0.00 and 1.00.
Why it matters: confidence scores gate how aggressively projections should be weighted in downstream outputs — lower confidence widens projection bands and dampens market comparison deltas.
Confidence
0.80
G. Russell
Mercedes
Confidence
0.80
L. Norris
McLaren
Confidence
0.78
M. Verstappen
Red Bull Racing
Confidence
0.78
L. Hamilton
Ferrari
Confidence
0.78
O. Piastri
McLaren
Confidence
0.75
K. Antonelli
Mercedes
Confidence
0.72
C. Leclerc
Ferrari
Confidence
0.68
I. Hadjar
Red Bull Racing
Confidence
0.62
C. Sainz
Williams
Confidence
0.62
F. Alonso
Aston Martin
Sample proprietary analytical output — not official or endorsed ratings.
Methodology
Model Methodology
KRS ratings are produced from a multi-factor model calibrated against historical motorsports datasets. The emphasis placed on each signal is adjusted per-circuit type and evolves as more historical data becomes available.
Specific formulas, internal weighting percentages, and calibration parameters are proprietary and not publicly disclosed.
| Signal | Emphasis | Description |
|---|---|---|
| Form | Primary | Rolling performance across recent races, with greater emphasis placed on the most recent events. |
| Qualifying | High | Grid position contribution modeled against historical conversion rates from qualifying to race outcomes. |
| Constructor Strength | High | Team-level performance contribution including pace, reliability, and pit execution consistency. |
| Consistency | Moderate | Driver result variance across comparable conditions, penalizing unpredictable outcome profiles. |
| Volatility | Supporting | Circuit-specific and weather-driven unpredictability adjustments applied to the base projection. |
| Confidence | Supporting | Composite model certainty output based on data availability, historical fit, and recency of calibration. |
Projections
Event Probability Outputs
Downstream projection outputs built from the KRS methodology — finish probabilities derived from driver strength and supporting signals. These extend the ratings framework; they do not replace it.
Projection
SamplePodium Chance
Projected probability of a top-three finish, derived from driver strength and supporting KRS signals.
Projection
SampleTop 5 Chance
Projected probability of a top-five finish under current event conditions.
Projection
SampleTop 10 Chance
Projected probability of a points-paying top-ten finish across the field.
Projection
SamplePoints Chance
Projected probability of scoring championship points, blending finish distribution with reliability context.
Sample analytical output — projection probabilities are not currently live. Built from KRS methodology, not live market odds.
These ratings power KittyGP ↗.