Analyzing Tennis Data: Retiring Wawrinka forever grateful to US Open despite no wildcard — What the Numbers Say
TL;DR: Stan Wawrinka will not walk out at Flushing Meadows one last time. The 2016 US Open champion, ranked No. 125 and 24 years into a career that ends this December, Continue reading: Retiring Wawrinka forever grateful to US Open despite no wildcard
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
Stan Wawrinka will not walk out at Flushing Meadows one last time. The 2016 US Open champion, ranked No. 125 and 24 years into a career that ends this December, was left off every one of the eight mens singles wildcards handed out by the USTA — including the final spot, which went to American Patrick Kypson, the world No. 115. The 41-year-old Swiss responded not with grievance but with a letter. Winning the US Open, in the city that never sleeps, will forever be one of the greatest moments of my life, Wawrinka wrote on Instagram as the tournament began without him. Thank you, New York. Thank you, @usopen. Thank you to every single fan. He signed off: Forever grateful. Forever New York. A dec
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.
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