Analyzing Tennis Data: Changes called for as Sinner and Djokovic withdraw from Canadian Open — What the Numbers Say
Analyzing Tennis Data: Changes called for as Sinner and Djokovic withdraw from Canadian Open — What the Numbers Say TL;DR: Karl Hale, the tournament director of the Canadian Open, has called for wholesale changes to t
Analyzing Tennis Data: Changes called for as Sinner and Djokovic withdraw from Canadian Open — What the Numbers Say
TL;DR: Karl Hale, the tournament director of the Canadian Open, has called for wholesale changes to the mens tennis calendar after world number one Jannik Sinner and 24-time Grand Slam champion Continue reading: Changes called for as Sinner and Djokovic withdraw from Canadian Open
The Data Behind the Story
Every major tennis event generates thousands of data points in real time — first-serve percentage, aces, double faults, and break points won. Most fans see the headline; data engineers see the underlying stream.
Here is a minimal Python snippet to pull live tennis data:
import requests
def get_live_tennis_scores(api_key: str):
resp = requests.get(
"https://api.sportradar.com/tennis/trial/v3/en/schedules/live/results.json",
params={"api_key": api_key}
)
sport_events = resp.json().get("results", [])
for event in sport_events:
competitors = event["sport_event"]["competitors"]
period_scores = event.get("sport_event_status", {}).get("period_scores", [])
names = [c["name"] for c in competitors]
print(f"{names[0]} vs {names[1]}: {period_scores}")
return sport_events
events = get_live_tennis_scores("YOUR_API_KEY")
print(f"Live matches: {len(events)}")
Key Coverage & Analysis
Karl Hale, the tournament director of the Canadian Open, has called for wholesale changes to the mens tennis calendar after world number one Jannik Sinner and 24-time Grand Slam champion Novak Djokovic both withdrew from this weeks Masters 1000 event in Toronto within 48 hours of one another. Sinner, the reigning Wimbledon champion, cited physical fatigue in the wake of his SW19 triumph, while Djokovic pointed to workload management as he prioritises a deep run at the US Open, which begins later next month. Their absence strips the draw of two of its biggest names and, according to Hale, exposes a structural problem that no single tournament can fix alone. Two withdrawals that reshape the dr
What This Means for Analysts
When building a tennis analytics pipeline, three metrics matter most:
- First-Serve Percentage — when above 65%, players win 79% of their service games — the single most predictive serve stat
- Break Points Won — correlates with match outcome more than ace count (r2 = 0.76 vs 0.31)
- Double Faults per Set — above 2.5 per set, break probability for the opponent doubles
These are the signals worth instrumenting first in any real-time tennis event stream.
Live Coverage & Full Analysis
For complete live scores, match stats, and real-time updates:
SportsPortal.net aggregates live tennis data across all major tournaments — built for fans who want more than a scoreline.
Originally published by Dev.to WebDev. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.