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Track live matches, compare players, analyse team performance, view advanced statistics, discover AI-powered predictions and explore detailed insights across Football, Basketball, Cricket, Tennis, Formula 1, Esports, Rugby and Athletics.
Matches
Players
Leagues
Accuracy
Premier League
78'
Possession
Shots
Pass Accuracy
xG
Corners
Saves
OUR SPORTS
StatX delivers advanced statistics, AI insights, player performance, live analytics and detailed match reports across multiple sports.
Live scores, xG, possession, passing accuracy, heatmaps, player ratings and tactical analysis.
Player efficiency ratings, shooting charts, assist networks and advanced team metrics.
Lap times, sector analysis, pit strategies, driver pace and tyre performance.
Tournament brackets, player statistics, team rankings, match history and performance trends.
WHY STATX
Powerful metrics, expected goals, player ratings, AI statistics and historical performance.
Machine-learning powered match predictions with confidence ratings.
Detailed player pages including strengths, weaknesses, form and statistics.
Modern dashboards with animated graphs and comparisons.
Real-time score updates, live events and performance tracking.
Follow competitions from every continent.
LIVE NOW
Possession 62%
xG 2.31
Shots 18
Pass Accuracy 91%
FG% 51%
Rebounds 44
Assists 26
Turnovers 11
Overs 46.2
Run Rate 6.20
Boundaries 32
Sixes 11
TOP PLAYERS
Compare the world's best athletes using advanced statistics, AI-powered ratings and performance metrics.
Manchester City
Goals
Assists
Shots/Game
Passing
xG/Game
AI Form
Finishing
Speed
Strength
Passing
Positioning
| # | Player | Sport | Rating |
|---|---|---|---|
| 1 | Erling Haaland | Football | 98 |
| 2 | Novak Djokovic | Tennis | 97 |
| 3 | Virat Kohli | Cricket | 97 |
| 4 | Max Verstappen | Formula 1 | 98 |
| 5 | Nikola Jokić | Basketball | 97 |
| 6 | Lionel Messi | Football | 96 |
| 7 | Carlos Alcaraz | Tennis | 95 |
| 8 | Jasprit Bumrah | Cricket | 95 |
Based on last 10 matches.
Average conversion rate.
AI physical condition estimate.
Compared to previous season.
TEAM INTELLIGENCE
Deep-dive into comprehensive team metrics, tactical frameworks, and performance metrics across current competitive seasons.
Premier League • England
Expected Goals (xG)
Expected Goals Against (xGA)
PPDA
Deep Completions
Select two teams to instantly parse predictive modeling metrics
| Team A | Metric Parameter | Team B |
|---|---|---|
| 64.2% | Average Ball Possession | 54.8% |
| 2.41 | Goals Per 90 Min | 2.18 |
| 0.78 | Goals Conceded Per 90 Min | 0.65 |
| 89.6% | Pass Completion (Opp. Half) | 84.1% |
| 14.1s | Average Possession Duration | 16.8s |
| 94.1% | AI Match Prediction Weight | 92.8% |
Primary zone of threat: Left Half-Space (38%)
High exposure on direct long-ball transition phases
Average turnover recovery time: 4.8 seconds
LIVE LEADERBOARDS
Real-time table updates, expected points calculations, form differentials, and qualification matrices across major domestic and international divisions.
| # | Club | P | W | D | L | GD | PTS | xPTS | Recent Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
32 | 24 | 5 | 3 | +54 | 77 | 79.4 |
W
W
D
W
W
|
| 2 |
|
32 | 22 | 6 | 4 | +42 | 72 | 71.1 |
W
L
W
W
D
|
| 3 |
|
31 | 21 | 6 | 4 | +39 | 69 | 72.8 |
W
D
L
W
L
|
| 4 |
|
32 | 18 | 6 | 8 | +18 | 60 | 57.3 |
L
W
D
D
W
|
| 5 |
|
32 | 18 | 3 | 11 | +15 | 57 | 59.1 |
W
W
L
W
L
|
| 6 |
|
32 | 15 | 5 | 12 | -1 | 50 | 46.9 |
D
L
D
L
W
|
| 18 |
|
32 | 6 | 7 | 19 | -22 | 25 | 29.2 |
L
D
L
W
L
|
PREDICTIVE ANALYTICS
Leverage deep-learning neural network architectures running thousands of Monte Carlo match simulations to calculate pure percentage outcomes.
Current Season Return Tracking
Probability calibration metric
Total dataset processed
La Liga • Gameweek 35
May 5
La Liga • Gameweek 35
Calculated Value Verdict: High probability outcome leaning heavily on the hosts due to Barcelona's structural defensive frailties down the right transition flank.
Serie A • Outright Odds Value Available
NBA Playoffs • Point Spread Line Analysis
T20 International Series
Pole Position Qualifying Simulation Matrices
TACTICAL INSIGHTS
Uncovering structural shifts, recruitment efficiency modeling, and tactical data-visualizations directly from our editorial team.
As defensive blocks transition from zonal coordination to isolated space-denial regimes, deep-lying playmakers face unprecedented pressing velocities. We parse passing metrics to track the evolution of defensive midfielders under pressure.
14 hours ago
Yesterday
2 days ago
Get instant 2-minute synthesis of tactical match shifts generated by our analytical linguistic engines.
Analytical Summary • 2:14 mins
Analytical Summary • 1:55 mins
CONNECT WITH US
Get in touch with our statistical modeling team, request real-time data API access documentation, or resolve enterprise account configurations.
Inquiries are automatically prioritized according to subscription tier routing matrices.
PRICING ARCHITECTURE
Unlock deep-learning match projections, advanced expected metrics dashboards, and dedicated low-latency developer API infrastructure tailored to your workflow.
For casual fans tracking raw metric baselines.
For serious sports punters and fantasy managers.
For commercial applications and algorithmic trading syndicates.
DATABASE ENGINE
Query millions of data rows instantly. Slice statistical coefficients by age, league tiers, high-pressure execution parameters, and performance percentiles.
| Player Entity | Age | Minutes Active | Progressive Carriage | Turnover Cost | xG + xA /90 | AI Efficiency Index |
|---|---|---|---|---|---|---|
| K. De Bruyne Manchester City | 34 | 2,140 | 12.4 | 1.12 | 0.84 | 97.2 |
| J. Bellingham Real Madrid | 22 | 2,890 | 14.1 | 0.94 | 0.91 | 98.1 |
| F. de Jong FC Barcelona | 29 | 2,410 | 16.2 | 0.62 | 0.54 | 91.4 |
| Florian Wirtz Bayer Leverkusen | 23 | 2,760 | 13.8 | 1.24 | 0.89 | 95.6 |
| Martin Ødegaard Arsenal FC | 27 | 2,910 | 11.9 | 0.81 | 0.78 | 94.8 |
IDENTITY DASHBOARD
Manage your processing configuration parameters, manage data token infrastructure, and customize real-time notification pathways.
Enterprise API Plan Subscriber
Configure target tracking thresholds for systemic alert generation arrays.
MODEL VALIDATION
Run algorithmic validation models against completed seasons to evaluate prediction yield curves, calibration stability, and maximum drawdown risk.
Define structural parameters to initialize historical dataset processing engines.
Systemic Accuracy
Maximum Drawdown
Profit Factor Index
| Batch Sequence | Sample Size | Predicted Edge | Observed Variance | Status Outcome |
|---|---|---|---|---|
#B-2026-01 |
180 Matches | +5.4% | 0.12% | Converged |
#B-2026-02 |
340 Matches | +8.1% | -0.45% | Converged |
#B-2026-03 |
120 Matches | +3.2% | 1.89% | Drift Flagged |